Description:
FORM 2
THE PATENTS ACT, 1970
(39 of 1970)
&
THE PATENT RULES, 2003

COMPLETE SPECIFICATION
(See Section 10 and Rule 13)

Title of Invention:
A METHOD AND SYSTEM FOR DETECTING HEALTH OF A CRYOGENIC CONTAINER

APPLICANT:
SHIVANI SCIENTIFIC INDUSTRIES PVT. LTD.

An Indian entity having address as:
Shivani House, 26/A, Raju Industrial Estate, Penkar Pada Road, Mira,
Thane 401104, Maharashtra India

The following specification particularly describes the invention and the manner in which it is to be performed.

CROSS-REFERENCE TO RELATED APPLICATIONS AND PRIORITY
[0001] The present application does not claim priority from any other patent application.
TECHNICAL FIELD
[0002] The presently disclosed embodiments are related, in general, to the field of cryogenic safety detection and monitoring systems. More particularly, the presently disclosed embodiments are related to a method and a system for detecting health of a cryogenic container.
BACKGROUND
[0003] This section is intended to introduce the reader to various aspects of art (the relevant technical field or area of knowledge to which the invention pertains), which may be related to various aspects of the present disclosure that are described or claimed below. This discussion is believed to be helpful in providing the reader with background information to facilitate a better understanding of the various aspects of the present disclosure. Accordingly, it should be understood that these statements in this background section are to be read in this light, and not as admissions of prior art. Similarly, a problem mentioned in the background section.
[0004] Cryogenic storage is essential across various fields, enabling the long-term preservation of biological and chemical materials at ultra-low temperatures. This technology is widely used in medical applications, research laboratories, and industrial processes, ensuring the stability and viability of stored samples. Cryogenic containers, which rely on liquid nitrogen (LN2) to maintain stable temperatures, play a crucial role in preserving sensitive materials. For example, in the field of assisted reproductive technology (ART), cryogenic storage is particularly valuable for preserving gametes and embryos, enhancing the flexibility of IVF treatments, and improving success rates. These storage systems offer several advantages, including resource efficiency, reduced need for repeated sample collection, and the ability to select the highest-quality embryos for implantation. However, despite their benefits, the reliability of cryogenic containers is paramount, as any failure in the system can lead to catastrophic consequences, including the loss of valuable biological samples.
[0005] One of the most significant challenges in cryogenic storage is ensuring consistent and stable LN2 levels within the cryogenic container. The viability of stored samples is highly dependent on maintaining ultra-low temperatures, and any fluctuation beyond acceptable limits can cause irreversible damage to the biological materials. Traditional monitoring methods for LN2 levels and cryogenic container integrity rely heavily on manual checks, which are prone to human error, inefficiencies, and delays in detecting potential failures. Additionally, mechanical failures, such as faulty valves, insulation degradation, or undetected leaks, can compromise the temperature stability of the storage system, leading to a gradual loss of LN2 and potential sample degradation.
[0006] Cryogenic container failures can occur due to various reasons, including insufficient LN2 levels caused by evaporation, improper refilling, or unnoticed leaks. Environmental factors, such as external temperature fluctuations, mechanical shocks during transportation, and contamination, can also contribute to the degradation of the storage system. Moreover, human error, including mishandling, improper sealing, or incorrect refilling procedures, increases the risk of failure. The consequences of such failures are severe, often leading to the loss of stored embryos and gametes, significant financial liabilities for clinics, emotional distress for patients, and reputational damage for medical facilities. Given the critical nature of these stored biological materials, there is an urgent need for an improved method to monitor and detect anomalies in cryogenic container health.
[0007] Existing cryogenic storage solutions lack real-time and accurate predictive monitoring capabilities, making it difficult to detect early warning signs of potential failures. Many IVF clinics, research facilities, and industrial storage facilities rely on periodic manual inspections, which are inefficient and fail to provide continuous oversight. Moreover, current predictive monitoring capabilities often lack precision, leading to either missed failures or false alarms that disrupt operations unnecessarily. Regulatory bodies mandate strict guidelines for biological storage, and failure to comply with these standards due to ineffective monitoring can result in legal and ethical consequences. Furthermore, the financial implications of cryogenic container failures, including costly compensation claims and difficulty in replacement of lost samples, emphasize the need for a more robust and proactive monitoring solution.
[0008] In view of the above, addressing the aforementioned technical challenges requires an improved method for detecting health of a cryogenic container.
[0009] Further limitations and disadvantages of conventional and traditional approaches will become apparent to one of skill in the art, through comparison of described systems with some aspects of the present disclosure, as set forth in the remainder of the present application and with reference to the drawings.
SUMMARY
[0010] This summary is provided to introduce concepts related to a method and a system for detecting health of the cryogenic container and the concepts are further described below in the detailed description. This summary is not intended to identify essential features of the claimed subject matter nor is it intended for use in determining or limiting the scope of the claimed subject matter.
[0011] According to embodiments illustrated herein, a method for detecting the health of a cryogenic container is disclosed. Further, the method may be implemented by an electronic device including one or more processors and a memory communicatively coupled to the processor, with the memory configured to store processor-executable programmed instructions. Further, the method may comprise a step of receiving one or more receiving data associated with the cryogenic container. Further, the method may comprise a step of dynamically comparing the one or more receiving data with reference data associated with the cryogenic container. Furthermore, the method may comprise a step of identifying one or more anomalies in the one or more receiving data based on the dynamic comparison. Further, the method may comprise a step of detecting the health of the cryogenic container based on the one or more anomalies in the one or more receiving data. Further, the cryogenic container comprises a cryogenic substance. In addition to this, the detection may be real-time or predictive.
[0012] According to embodiments illustrated herein, a system for detecting the health of a cryogenic container is disclosed. Further, the system may comprise an electronic device including a processor and a memory. Further, the memory may be configured to store programmed instructions that cause the processor to perform the following operations. Further, the processor may be configured to receive one or more receiving data associated with the cryogenic container. Further, the processor may be configured to dynamically compare the one or more receiving data with reference data associated with the cryogenic container. Further, the processor may be configured to identify one or more anomalies in the one or more receiving data based on the dynamic comparison. Further, the processor may be configured to detect the health of the cryogenic container based on the one or more anomalies in the one or more receiving data. Further, the cryogenic container comprises a cryogenic substance. Further, the detection is real-time or predictive.
[0013] According to embodiments illustrated herein, a non-transitory computer-readable storage medium having stored thereon, a set of computer-executable instructions causing a computer comprising one or more processors to perform steps. The step may comprise receiving one or more receiving data associated with the cryogenic container. Further, the step may comprise dynamically comparing the one or more receiving data with reference data associated with the cryogenic container. Further, the step may comprise identifying one or more anomalies in the one or more receiving data based on the dynamic comparison. Furthermore, the step may comprise detecting the health of the cryogenic container based on the one or more anomalies in the one or more receiving data. Further, the cryogenic container comprises a cryogenic substance. Further, the detection may be real-time or predictive.
[0014] The foregoing summary is illustrative only and is not intended to be in any way limiting. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features will become apparent by reference to the drawings and the following detailed description.
BRIEF DESCRIPTION OF DRAWINGS
[0015] The accompanying drawings illustrate the various embodiments of systems, methods, and other aspects of the disclosure. Any person with ordinary skills in art will appreciate that the illustrated element boundaries (e.g., boxes, groups of boxes, or other shapes) in the figures represent one example of the boundaries. In some examples, one element may be designed as multiple elements, or multiple elements may be designed as one element. In some examples, an element shown as an internal component of one element may be implemented as an external component in another, and vice versa. Further, the elements may not be drawn to scale.
[0016] Various embodiments will hereinafter be described in accordance with the appended drawings, which are provided to illustrate and not to limit the scope in any manner, wherein similar designations denote similar elements, and in which:
[0017] FIG. 1 is a block diagram that illustrates a system (100) for detecting health of the cryogenic container, in accordance with an embodiment of the present disclosure.
[0018] FIG. 2 is a block diagram (200) that illustrates various components of an application server (104) configured for performing steps of detecting health of the cryogenic container, in accordance with an embodiment of the present disclosure.
[0019] FIG. 3 is a flowchart that illustrates a method (300) for detecting health of the cryogenic container, in accordance with an embodiment of the present disclosure.
[0020] FIG. 4 illustrates a block diagram (400) of an exemplary computer system for implementing embodiments consistent with the present disclosure.
DETAILED DESCRIPTION
[0021] The present disclosure may be best understood with reference to the detailed figures and description set forth herein. Various embodiments are discussed below with reference to the figures. However, those skilled in the art will readily appreciate that the detailed descriptions given herein with respect to the figures are simply for explanatory purposes as the methods and systems may extend beyond the described embodiments. For example, the teachings presented, and the needs of a particular application may yield multiple alternative and suitable approaches to implement the functionality of any detail described herein. Therefore, any approach may extend beyond the particular implementation choices in the following embodiments described and shown.
[0022] References to “one embodiment,” “at least one embodiment,” “an embodiment,” “one example,” “an example,” “for example,” and so on indicate that the embodiment(s) or example(s) may include a particular feature, structure, characteristic, property, element, or limitation but that not every embodiment or example necessarily includes that particular feature, structure, characteristic, property, element, or limitation. Further, repeated use of the phrase “in an embodiment” does not necessarily refer to the same embodiment. The terms “comprise”, “comprising”, “include(s)”, or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a setup, system or method that comprises a list of components or steps does not include only those components or steps but may include other components or steps not expressly listed or inherent to such setup or system or method. In other words, one or more elements in a system or apparatus preceded by “comprises… a” does not, without more constraints, preclude the existence of other elements or additional elements in the system or apparatus.
[0023] An objective of the present disclosure is to provide a method for detecting health of a cryogenic container, wherein the detection is real-time, or predictive.
[0024] Another objective of the present disclosure is to dynamically compare one or more receiving data with reference data to identify one or more anomalies.
[0025] Yet another objective of the present disclosure is to detect health of the cryogenic container, including but not limited to weight of the cryogenic container, external temperature of the cryogenic container, level of the cryogenic substance in the cryogenic container, vacuum break, workability of the cryogenic container, or a combination thereof, to ensure operational safety and reliability.
[0026] Yet another objective of the present disclosure is to automate identification of one or more anomalies by categorizing deviations in values of the one or more receiving data based on the dynamic comparison, wherein the one or more anomalies are categorized into one or more severity based on the dynamic comparison.
[0027] Yet another objective of the present disclosure is to integrate one or more receiving data such as one or more sensing data, one or more user input data, system-based data, or a combination thereof to enable comprehensive cryogenic container health assessment/detection.
[0028] Yet another objective of the present disclosure is to generate one or more alert in real-time based on the one or more severity.
[0029] Yet another objective of the present disclosure is to enable remote monitoring/detection and/or management of cryogenic containers using cloud-based connectivity and over-the-air (OTA) calibration.
[0030] Yet another objective of the present disclosure is to facilitate bidirectional communication between the cryogenic container and a cloud server using LoRa connectivity, ensuring seamless data transmission and remote configuration updates.
[0031] Yet another objective of the present disclosure is to store and analyze historical data associated with the cryogenic container such as last refill date of the cryogenic container, number of times the cryogenic container has been used, duration of each usage of the cryogenic container, list of personnel who have handled the cryogenic container, or a combination thereof.
[0032] Yet another objective of the present disclosure is to provide an intuitive user interface that allows users to feed input data, receive real-time alerts, and access historical performance records/historical data associated with the cryogenic container for effective cryogenic container health management.
[0033] Yet another objective of the present disclosure is to enhance the accuracy of detecting health of the cryogenic container by implementing one or more sensors such at least one weight sensor, at least one temperature sensor, at least one level sensor, or a combination thereof.
[0034] Yet another objective of the present disclosure is to reduce manual intervention in monitoring the health of the cryogenic container by automating the detection, categorization/identification, and alerting processes.
[0035] Yet another objective of the present disclosure is to improve the operational lifespan and efficiency of the cryogenic containers by providing real-time insights into the health of the cryogenic containers and ensuring preventive maintenance measures.
[0036] Yet another objective of the present disclosure is to establish a scalable and adaptable solution for detecting the health of a cryogenic container that can be applied across various industries, including but not limited to, medical, aerospace, energy, food and beverage, semiconductor, automotive, mining/metallurgy, transportation, industrial (gases), storage and transportation, and/or research applications.
[0037] FIG. 1 is a block diagram that illustrates a system (100) for detecting health of the cryogenic container (110), in accordance with an embodiment of the present disclosure. The system (100) typically includes a database server (102), an application server (104), a communication network (106), one or more portable devices (108), and a cryogenic container (110). The database server (102), the application server (104), the one or more portable devices (108), and the cryogenic container (110) are typically communicatively coupled with each other via the communication network (106). In an embodiment, the application server (104) may communicate with the database server (102), the one or more portable devices (108) and the cryogenic container (110) using one or more protocols such as, but not limited to, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol/Internet Protocol (TCP/IP)/User Datagram Protocol (UDP), Wireless Application Protocol (WAP), RF mesh, Bluetooth Low Energy (BLE), and the like.
[0038] In one embodiment, the database server (102) may refer to a computing device configured to store data related to the cryogenic container (110) and application environment, one or more receiving data, reference data, one or more anomalies, one or more sensing data, one or more user input data, system-based data, one or more sensors, pre-defined thresholds for weight of the container (110) and external temperature of the container (110) and level of the cryogenic substance in the container (110) and lid status, standard rules, weight of the cryogenic container (110), external temperature of the cryogenic container (110), level of the cryogenic substance in the cryogenic container (110), vacuum break, workability of the cryogenic container (110), deviation in the values, one or more severity, one or more alert, one or more UI elements to feed the one or more user input data, historical data associated with the cryogenic container (110), configuration settings, and a combination thereof.
[0039] In an exemplary embodiment, the stored data may correspond to a detailed information about the health of the cryogenic container (110). Further, the database server (102) may comprise a user interface for manual request generation. Further, the user interface may be configured to store the user elements provided to feed the one or more user input data. Further, the database server (102) is configured to track all data related to the cryogenic container (110).
[0040] In an embodiment, the database server (102) may include a special purpose operating system specifically configured to perform one or more database operations on the stored content. Examples of database operations may include, but are not limited to, Select, Insert, Update, and Delete. In an embodiment, the database server (102) may include hardware that may be configured to perform one or more predetermined operations. In an embodiment, the database server (102) may be realized through various technologies such as, but not limited to, Microsoft® SQL Server, Oracle®, IBM DB2®, Microsoft Access®, PostgreSQL®, MySQL®, SQLite®, distributed database technology and the like. In an embodiment, the database server (102) may be configured to utilize the application server (104) for detecting health of the cryogenic container (110).
[0041] A person with ordinary skills in art will understand that the scope of the disclosure is not limited to the database server (102) as a separate entity. In an embodiment, the functionalities of the database server (102) can be integrated into the application server (104) or into the one or more portable devices (108).
[0042] In an embodiment, the application server (104) may refer to a computing device or a software framework hosting the application or a software service. In an embodiment, the application server (104) may be implemented to execute procedures such as, but not limited to, programs, routines, or scripts stored in one or more memories for supporting the hosted application or the software service. In an embodiment, the hosted application or the software service may be configured to perform one or more predetermined operations. The application server (104) may be realized through various types of application servers such as, but are not limited to, a Java application server, a .NET framework application server, a Base4 application server, a PHP framework application server, or any other application server framework.
[0043] In an embodiment, the application server (104) may be configured to utilize the database server (102) and the one or more portable device (108), in conjunction, for detecting health of the cryogenic container (110). In an implementation, the application server (104) corresponds to an infrastructure for implementing a method for detecting health of the cryogenic container (110).
[0001] In an embodiment, the application server (104) may be configured to detect health of a cryogenic container (110).
[0002] In an embodiment, the application server (104) may be configured to receive one or more receiving data associated with the cryogenic container (110).
[0003] In an embodiment, the application server (104) may be configured to dynamically compare the one or more receiving data with reference data associated with the cryogenic container (110).
[0004] In an embodiment, the application server (104) may be configured to identify one or more anomalies in the one or more receiving data based on the dynamic comparison.
[0005] In an embodiment, the application server (104) may be configured to detect the health of the cryogenic container (110) based on the one or more anomalies in the one or more receiving data, and the cryogenic container (110) comprises a cryogenic substance, and the detection is real-time, or predictive.
[0044] In an embodiment, the application server (104) may be configured to perform continuous monitoring/detection of the health of the cryogenic container (110) that may be triggered automatically based on inconsistency identified during usage of the cryogenic container (110). Further, the one or more anomalies in health of the cryogenic container (110) may be detected or predicted in real-time by the monitoring service.
For the purpose of instant disclosure and as is perceivable to a person skilled in the art, the term “detect”, “detection”, or “detecting” pertains to “monitor”, and “monitoring”. Further, the term “inconsistency(ies)” pertains to anomaly/anomalies/deviations compared to the reference data/historical data as per requirement(s).
[0045] In an embodiment, the communication network (106) may correspond to a communication medium through which the application server (104), the database server (102), and the one or more portable device (108) may communicate with each other. Such a communication may be performed in accordance with various wired and wireless communication protocols. Examples of such wired and wireless communication protocols include, but are not limited to, Transmission Control Protocol and Internet Protocol (TCP/IP), User Datagram Protocol (UDP), Hypertext Transfer Protocol (HTTP), Wireless Application Protocol (WAP), File Transfer Protocol (FTP), ZigBee, EDGE, infrared IR), IEEE 802.11, 802.16, 2G, 3G, 4G, 5G, 6G, 7G cellular communication protocols, and/or Bluetooth (BT) communication protocols. The communication network (106) may either be a dedicated network or a shared network. Further, the communication network (106) may include a variety of network devices, including routers, bridges, servers, computing devices, storage devices, and the like. The communication network (106) may include, but is not limited to, the Internet, intranet, a cloud network, a Wireless Fidelity (Wi-Fi) network, a Wireless Local Area Network (WLAN), a Local Area Network (LAN), a cable network, the wireless network, a telephone network (e.g., Analog, Digital, POTS, PSTN, ISDN, xDSL), a telephone line (POTS), a Metropolitan Area Network (MAN), an electronic positioning network, an X.25 network, an optical network (e.g., PON), a satellite network (e.g., VSAT), a packet-switched network, a circuit-switched network, a public network, a private network, and/or other wired or wireless communications network configured to carry data.
[0046] In an embodiment, the one or more portable devices (108) may refer to a computing device used by a user. The one or more portable devices (108) may comprise of one or more processors and one or more memory. The one or more memories may include computer readable code that may be executable by one or more processors to perform predetermined operations. In an embodiment, the one or more portable devices (108) may present a web user interface for the detection of health of the cryogenic container (110) using the application server (104). Example web user interfaces presented on the one or more portable devices (108) to display information about the health of the cryogenic container (110). Examples of the one or more portable devices (108) may include, but are not limited to, a personal computer, a laptop, a computer desktop, a personal digital assistant (PDA), a mobile device, a tablet, or any other computing device.
[0047] In an embodiment, the cryogenic container (110) refers to double-walled non-pressurized container; preferably, a cryogenic storage container is designed to maintain extremely low temperatures essential for preserving samples; preferably, biological samples, by maintaining the cryogenic substance. Further, the cryogenic substance corresponds to liquid nitrogen. Further, the one or more sensors are attached to the cryogenic container (110). Further, the one or more sensors correspond to at least one weight sensor, at least one temperature sensor, at least one level sensor, or a combination thereof. Further, the shape of the cryogenic container (110) corresponds to at least one of the spherical, cylindrical, conical, prismatic, toroidal, hemispherical, rectangular, elliptical, cuboidal, or trapezoidal. Further, the capacity of the cryogenic container (110) corresponds to at least one of the following ranges: small (under 100 litres), medium (100 to 1,000 litres), large (1,000 to 10,000 litres), or extra-large (over 10,000 litres).
Further, the cryogenic container (110) is configured to communicate with a cloud server using LoRa connectivity.
In a related embodiment, the cryogenic container (110) operates in a master mode to directly transmit and receive data from the cloud server without requiring an intermediary device, wherein configuration settings are managed on the cloud server and subsequently pushed to the cryogenic container (110), and wherein the communication is bidirectional, enabling the data transmission from the cryogenic container (110) to the cloud server and vice versa.
Further, the cryogenic container (110) operates in a master mode to directly transmit and receive data from the cloud server without requiring an intermediary device.
For the purpose of instant disclosure and as is perceivable to a person skilled in the art, the term “intermediary device” pertains to a network device that facilitates communication between different devices or networks by managing data transfer, routing, or security. Examples include routers, switches, and/or firewalls.
Further, the configuration settings are managed on the cloud server and subsequently pushed to the cryogenic container (110), and the communication is bidirectional, enabling the data transmission from the cryogenic container (110) to the cloud server and vice versa. Further, the cryogenic container (110) may communicate with the database server (102), the one or more portable devices (108) and the application server (104) using the communication network (106).
For the purpose of instant disclosure and as is perceivable to a person skilled in the art, the term “container” and “cryogenic container” pertains to “cryogenic container (110)”.
[0048] The system (100) can be implemented using hardware, software, or a combination of both, which includes using where suitable, one or more computer programs, mobile applications, or “apps” by deploying either on-premises over the corresponding computing terminals or virtually over cloud infrastructure. The system (100) may include various micro-services or groups of independent computer programs which can act independently in collaboration with other micro-services. The system (100) may also interact with a third-party or external computer system. Internally, the system (100) may be the central processor of cryogenic container (110) and provide access to multiple users.
[0049] In one embodiment, the system (100) is configured to detect health of a cryogenic container (110). Further, the system (100) may receive one or more receiving data associated with the cryogenic container (110). Further, the system (100) may be configured to dynamically compare the one or more receiving data with reference data associated with the cryogenic container (110). Further, the system (100) may identify one or more anomalies in the one or more receiving data based on the dynamic comparison. Further, the system (100) may detect the health of the cryogenic container (110) based on the identified anomalies in the one or more receiving data. Furthermore, the cryogenic container (110) comprises a cryogenic substance, and the detection may real-time or predictive.
[0050] FIG. 2 illustrates a block diagram (200) illustrating various components of the application server (104) configured for performing stepwise detection of health of the cryogenic container (110), in accordance with an embodiment of the present subject matter. Further, FIG. 2 is explained in conjunction with FIG. 1. Here the application server (104) preferably includes a processor (202), a memory (204), a transceiver (206), an Input/Output (208), a user interface unit (210), a receiving unit (212), a comparing unit (214), an identification unit (216), a detection unit (218) and a display unit (220). The processor (202) is further preferably communicatively coupled to the memory (204), the transceiver (206), the Input/Output unit (208), the user interface unit (210), the receiving unit (212), the comparing unit (214), the identification unit (216), the detection unit (218) and the display unit (220), while the transceiver (206) is preferably communicatively coupled to the communication network (106).
[0051] The processor (202) comprises suitable logic, circuitry, interfaces, and/or code that may be configured to execute a set of instructions stored in the memory (204), and may be implemented based on several processor technologies known in the art. The processor (202) works in coordination with the transceiver (206), the Input/Output unit (208), the user interface unit (210), the receiving unit (212), the comparing unit (214), the identification unit (216), the detection unit (218) and the display unit (220). Examples of the processor (202) include, but not limited to, standard microprocessor, microcontroller, central processing unit (CPU), an X86-based processor, a Reduced Instruction Set Computing (RISC) processor, an Application- Specific Integrated Circuit (ASIC) processor, and a Complex Instruction Set Computing (CISC) processor, distributed or cloud processing unit, state machines, logic circuitries, and/or any devices that manipulate signals based on operational instructions and/or other processing logic that accommodates the requirements of the present invention.
[0052] The memory (204) comprises suitable logic, circuitry, interfaces, and/or code that may be configured to store the set of instructions, which are executed by the processor (202). Preferably, the memory (204) is configured to store one or more programs, routines, or scripts that are executed in coordination with the processor (202). Additionally, the memory (204) may include any computer-readable medium or computer program product known in the art including, for example, volatile memory, such as static random-access memory (SRAM) and dynamic random-access memory (DRAM), and/or non-volatile memory, such as read only memory (ROM), erasable programmable ROM, a Hard Disk Drive (HDD), flash memories, Secure Digital (SD) card, Solid State Disks (SSD), optical disks, magnetic tapes, memory cards, virtual memory and distributed cloud storage. The memory (204) may be removable, non-removable, or a combination thereof. Further, the memory (204) may include routines, programs, objects, components, data structures, etc., which perform particular tasks or implement particular abstract data types. The memory (204) may include programs or coded instructions that supplement applications and functions of the system (100). In one embodiment, the memory (204), amongst other things, serves as a repository for storing data processed, received, and generated by one or more of the programs or the coded instructions. In yet another embodiment, the memory (204) may be managed under a federated structure that enables adaptability and responsiveness of the application server (104).
[0053] The transceiver (206) comprises suitable logic, circuitry, interfaces, and/or code that may be configured to receive, process or transmit information, data or signals, which are stored by the memory (204) and executed by the processor (202). The transceiver (206) is preferably configured to receive, process or transmit, one or more programs, routines, or scripts that are executed in coordination with the processor (202). The transceiver (206) is preferably communicatively coupled to the communication network (106) of the system (100) for communicating all the information, data, signal, programs, routines or scripts through the network. The transceiver (206) may be configured to receive data from the cryogenic container (110).
[0054] The transceiver (206) may implement one or more known technologies to support wired or wireless communication with the communication network (106). In an embodiment, the transceiver (206) may include, but is not limited to, an antenna, a radio frequency (RF) transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a Universal Serial Bus (USB) device, a coder-decoder (CODEC) chipset, a subscriber identity module (SIM) card, and/or a local buffer. Also, the transceiver (206) may communicate via wireless communication with networks, such as the Internet, an Intranet and/or a wireless network, such as a cellular telephone network, a wireless local area network (LAN) and/or a metropolitan area network (MAN). Accordingly, the wireless communication may use any of a plurality of communication standards, protocols and technologies, such as: Global System for Mobile Communications (GSM), Enhanced Data GSM Environment (EDGE), wideband code division multiple access (W-CDMA), code division multiple access (CDMA), time division multiple access (TDMA), Bluetooth, Wireless Fidelity (Wi-Fi) (e.g., IEEE 802.11a, IEEE 802.11b, IEEE 802.11g and/or IEEE 802.11n), voice over Internet Protocol (VoIP), Wi-MAX, a protocol for email, instant messaging, and/or Short Message Service (SMS).
[0055] The input/output (I/O) unit (208) comprises suitable logic, circuitry, interfaces, and/or code that may be configured to receive or present information. The input/output unit (208) comprises various input and output devices that are configured to communicate with the processor (202). Examples of the input devices include, but are not limited to, a keyboard, a mouse, a joystick, a touch screen, a microphone, a camera, and/or a docking station. Examples of the output devices include, but are not limited to, a display screen and/or a speaker. The I/O unit (208) may include a variety of software and hardware interfaces, for example, a web interface, a graphical user interface, and the like. The I/O unit (208) may allow the system (100) to interact with the user directly or through the portable devices (108). Further, the I/O unit (208) may enable the system (100) to communicate with other computing devices, such as web servers and external data servers (not shown). The I/O unit (208) can facilitate multiple communications within a wide variety of networks and protocol types, including wired networks, for example, LAN, cable, etc., and wireless networks, such as WLAN, cellular, or satellite. The I/O unit (208) may include one or more ports for connecting a number of devices to one another or to another server. In one embodiment, the I/O unit (208) allows the application server (104) to be logically coupled to other portable devices (108), some of which may be built in. Illustrative components include tablets, mobile phones, desktop computers, wireless devices, etc.
[0056] In an embodiment, the user interface (UI) unit (210) of the application server (104) is disclosed. The user interface unit (210) comprises suitable logic, circuitry, interfaces, keypads and/or code that may be configured to initiate an action within the application. Further, the user interface unit (210) may respond by providing one or more user interface elements to facilitate user interaction for feeding one or more user input data to the cryogenic container (110). In an embodiment, the user interface unit (210) may support over-the-air (OTA) calibration based on the user input data provided via the one or more UI elements. The user input data may correspond to at least sample handling data, cryogenic substance filling data, or a combination thereof, fed by the user. Additionally, system-based data, including the percentage of battery usage data, power status data, or a combination thereof may be automatically fed by the system for enhanced monitoring and calibration.
[0057] Further, the user interface unit (210) may be configured to enable seamless communication with the processor (202) to validate the received user input data, ensuring accuracy and compliance with predefined parameters. Additionally, the user interface unit (210) may dynamically adapt the displayed interface based on user preferences and historical interactions, facilitating a responsive and intuitive experience. Furthermore, the user interface unit (210) may ensure the generation and display of system alerts and notifications, allowing users to acknowledge warnings, modify input settings, and make necessary adjustments in real time. The user interface unit (210) may also support interactive workflows, guided prompts, and pre-filled suggestions for users to streamline data entry and enhance operational efficiency in cryogenic container management.
[0058] In another embodiment, the receiving unit (212) of the system (100) is disclosed. Further, the receiving unit (212) may be configured for receiving one or more receiving data associated with the cryogenic container (110). Further, the one or more receiving data may correspond to one or more sensing data, one or more user input data, system-based data, or a combination thereof. Further, the one or more sensing data may correspond to the weight of the cryogenic container (110), external temperature of the cryogenic container, level of the cryogenic substance in the cryogenic container (110), or a combination thereof, as monitored by one or more sensors. Further, the one or more sensors may correspond to at least one weight sensor, at least one temperature sensor, at least one level sensor, or a combination thereof. Furthermore, the at least one weight sensor may be a load cell sensor, the at least one level sensor may be a liquid cryogen level sensor, and the at least one temperature sensor may be an external infrared sensor. Further, the one or more user input data may correspond to sample handling data, cryogenic substance filling data, or a combination thereof, as fed by a user. Further, the system-based data may correspond to a percentage of battery usage data, power status data, or a combination thereof, as fed by a system.
[0059] In another embodiment, the comparing unit (214) of the system (100) is disclosed. The comparing unit (214) may be configured for dynamically comparing the one or more receiving data with reference data associated with the cryogenic container (110). Further, the reference data may be selected from pre-defined thresholds for the weight of the container, external temperature of the container (110), level of the cryogenic substance in the container (110), lid status, or a combination thereof. Further, the reference data may be user-generated, system-generated, derived from standard rules, or a combination thereof. Furthermore, the comparing unit (214) may help to analyze the anomalies between the receiving data and the reference data to evaluate potential discrepancies or abnormal conditions affecting the cryogenic container.
[0060] Further, the comparing unit (214) may work in coordination with the processor (202) to ensure accurate and real-time evaluation of the cryogenic container's (110) condition. The comparing unit (214) may facilitate continuous dynamic comparison to enhance the efficiency and precision of health assessment of the cryogenic container (110). Further, the comparing unit (214) ensures adaptability by dynamically updating reference data based on historical data and system learning mechanisms. Further, the comparing unit (214) enables the system to refine the dynamic comparison process by incorporating sensor reference data adjustments, user-defined inputs, and predictive detection.
[0061] In one embodiment, the identification unit (216) of the system (100) is disclosed. Further, the identification unit (216) may be configured to identify one or more anomalies in the one or more receiving data based on the dynamic comparison performed by the comparing unit (214). Further, the one or more anomalies may correspond to deviations in the values of the one or more receiving data based on the dynamic comparison, and wherein the one or more anomalies are categorized into one or more severity based on the dynamic comparison. The one or more severity corresponds to the level of escalation/attention needed to absolve the one or more anomalies.
[0062] Further, the identification unit (216) may be configured to identify a vacuum break in the cryogenic container (110) based on anomalies in the external temperature and the weight of the cryogenic container (110), and the detection may be real-time. Further, in an exemplary embodiment, the identification unit (216) may be configured to identify a vacuum break in the cryogenic container (110) based on an anomaly in the external temperature of the cryogenic container (110), and the detection may be predictive. Furthermore, the identification unit (216) ensures adaptability by continuously analyzing historical and real-time data to improve the accuracy of anomaly identification.
[0063] In one non-limiting embodiment, the identification unit (216) may work in coordination with the processor (202) to refine anomaly detection by using historical sensor data, anomaly trends, and predictive detection. Further, the identification unit (216) may dynamically adjust anomaly thresholds based on contextual factors such as environmental conditions, sensor accuracy, and system calibration. Furthermore, the identification unit (216) may enhance predictive maintenance by generating early warnings for potential cryogenic failures based on detected patterns of anomalies, reducing the risk of system failure and improving operational efficiency.
[0064] In one embodiment, the detection unit (218) of the system (100) is disclosed. Further, the detection unit (218) may be configured to detect the health of the cryogenic container (110) based on the one or more anomalies identified in the one or more receiving data. Further, the detection of the health of the cryogenic container (110) may be real-time or predictive. Furthermore, the health of the cryogenic container (110) may correspond to weight of the cryogenic container (110), external temperature of the cryogenic container (110), level of the cryogenic substance in the cryogenic container (110), vacuum break, workability of the cryogenic container (110), or a combination thereof.
[0065] Further, the detection unit (218) may be configured to generate one or more alert in real-time based on the one or more severity. Further, the one or more alert may correspond to max fill, refill, power status (on/off), low battery, high/low surface temperature, abnormal consumption rate, vacuum break, or a combination thereof. Furthermore, the detection unit (218) may be configured to perform predictive detection for the normal working condition of the cryogenic container (110)and evaluate its performance year by year based on the rate of change of liquid nitrogen (LN2) holding time.
[0066] In one non-limiting embodiment, the detection unit (218) may work in coordination with the processor (202) to analyze historical data and sensor data to enhance predictive detection of the health of the cryogenic container (110). Further, the detection unit (218) may dynamically refine detection based on environmental conditions, sensor calibration, user-input, and machine learning models trained on historical data. Furthermore, the detection unit (218) may ensure early detection of potential health of the cryogenic container (110) by leveraging predictive detection to assess anomalies in the cryogenic container reference data, enabling timely corrective actions and improving operational efficiency.
[0067] Further, the detection unit (218) may be configured to categorize the identified anomalies into one or more severity levels based on the deviation in values from the reference data based on the dynamic comparison. Further, the severity levels may correspond to different levels of escalation or attention required to resolve the anomalies. Additionally, the detection unit (218) may trigger corresponding alerts based on the severity levels, and critical anomalies such as vacuum break or extreme temperature deviations may generate high-priority alerts requiring immediate intervention, while minor deviations may trigger informational or warning alerts. Furthermore, the detection unit (218) may facilitate automated alert notifications to relevant personnel or systems, ensuring proactive responses to potential failures and optimizing cryo cryogenic container (110) performance and safety.
[0068] Furthermore, the display unit (220) may be configured to provide real-time alerts and notifications regarding the health status of the cryogenic container (110). In an embodiment, the display unit (220) may present one or more alerts using multiple notification modes, including visual alerts, audio alerts, electronic notifications, or a combination thereof. Additionally, the display unit (220) may comprise one or more UI elements that enable users to provide input data, facilitating user interaction with the system for acknowledging alerts, adjusting settings, or taking corrective actions.
[0069] In an exemplary embodiment, the display unit (220) may integrate historical data associated with the cryogenic container (110), providing contextual insights alongside real-time alerts. The historical data may include last refill date of the cryogenic container (110), number of times the cryogenic container (110) has been used, duration of each usage of the cryogenic container (110), list of personnel who have handled the cryogenic container (110), or a combination thereof. By presenting both real-time alerts and historical usage trends, the display unit (220) ensures transparency in monitoring the cryogenic container's (110) performance. Furthermore, this functionality allows users to assess the health of the cryogenic container (110) , long-term performance metrics, identify recurring anomalies, and make informed maintenance decisions, enhancing the reliability and operational efficiency of the cryogenic container management system.
[0070] A person skilled in the art will understand that the scope of the disclosure should not be limited to a single domain and using the aforementioned techniques. Further, the examples provided supra are for illustrative purposes and should not be construed to limit the scope of the disclosure.
[0071] Referring to FIG. 3, a flowchart that illustrates a method (300) for detecting health of the cryogenic container (110), in accordance with at least one embodiment of the present subject matter. The method (300) may be implemented by the application server (104) including processor (202) and the memory (204) communicatively coupled to the processor (202) and the memory (204) is configured to store processor-executable programmed instructions, caused the processor to perform the following steps.
[0072] At step (302), the processor (202) may be configured to receive one or more receiving data associated with the cryogenic container (110).
[0073] At step (304), the processor (202) may be configured to dynamically compare the one or more receiving data with reference data associated with the cryogenic container (110).
[0074] At step (306), the processor (202) may be configured to identify one or more anomalies in the one or more receiving data based on the dynamic comparison.
[0075] At step (308), the processor (202) may be configured to detect the health of the cryogenic container (110) based on the one or more anomalies in the one or more receiving data, wherein the cryogenic container (110) comprises a cryogenic substance, and the detection is real-time, or predictive.
[0076] Let us delve into a detailed working example of the present disclosure.
[0077] In an embodiment, a cryogenic storage facility employs an advanced monitoring system to ensure the health and stability of its cryogenic containers (110), which store biological samples at ultra-low temperatures. Each cryogenic container (110) is equipped with multiple sensors, including external infrared temperature sensors, load cell sensors for weight monitoring, and liquid cryogen level sensors. The receiving unit (212) continuously collects real-time data related to the external temperature, weight, and liquid cryogen level within the cryogenic container (110). This data is transmitted to the comparing unit (214), which dynamically analyses the receiving data against reference data stored in the system.
[0078] During routine operation, the comparing unit (214) detects an unexpected increase in external temperature, coupled with a gradual but continuous decrease in cryogenic container (110) weight, despite no recorded withdrawal of liquid nitrogen. The identification unit (216) processes these deviations and recognizes them as indicative of a potential vacuum break, an issue where the insulating vacuum layer between the cryogenic containers (110) double walls is compromised, leading to increased heat transfer and rapid evaporation of the cryogenic substance. The detection unit (218) then classifies this as a critical anomaly and triggers an immediate response. The system generates a real-time alert categorized under "high severity" and transmits it to the display unit (220), which presents the alert on the user’s mobile device. The alert is displayed as a visual warning with accompanying audio notifications, prompting immediate inspection and corrective action; preferably, visual alerts, audio alerts, electronic notifications, or a combination thereof.
[0079] Further, leveraging predictive detection, the detection unit (218) cross-references historical failure data with the current anomaly patterns to determine if the issue will escalate further. The system predicts that, without intervention, the vacuum degradation will lead to a complete failure within a specific timeframe, potentially jeopardizing the stored biological samples. The display unit (220) communicates this predictive warning to the user’s mobile device, providing a detailed alert along with recommended corrective actions. The alert history, including previous cryogenic container (110) health reports, refill dates, and personnel handling records, is also accessible for reference. By integrating real-time monitoring, automated anomaly detection, and predictive failure detection, the system minimizes manual oversight, enhances operational efficiency, and ensures the safe storage of valuable cryogenic materials.
[0080] In another embodiment, a biomedical research facility relies on a smart monitoring system to maintain optimal liquid nitrogen levels in its cryogenic container (110), which stores sensitive biological samples. Each cryogenic container (110) is equipped with multiple sensors, including a liquid cryogen level sensor and a load cell sensor for weight measurement. The receiving unit (212) continuously gathers real-time receiving data of the cryogenic container (110), transmitting this data to the comparing unit (214) for comparing the receiving data against reference data.
[0081] During normal operation, the comparing unit (214) identifies a significant drop in the liquid nitrogen level detected by the level sensor. To verify this anomaly, the system cross-checks the cryogenic container (110) weight data received from the load cell sensor. The identification unit (216) detects a corresponding reduction in weight, confirming that the observed decrease in liquid nitrogen is not due to sensor malfunction but an actual loss of cryogenic substance. The detection unit (218) classifies this as a "moderate severity" anomaly, as the remaining liquid nitrogen volume is approaching the predefined refill threshold.
[0082] The display unit (220) promptly generates a real-time alert, notifying the user via a mobile device with a visual and audio warning labeled as "Refill Reminder." Additionally, the detection unit (218) employs predictive detection to assess historical usage patterns and evaporation rates, forecasting the estimated time before the liquid nitrogen level falls below critical limits. The predictive alert is displayed on the user’s mobile device, providing recommendations for scheduling a refill. The user can also access historical data, including previous refill dates and consumption trends, to make informed maintenance decisions. Through automated monitoring, verification, and predictive failure detection, the system ensures timely intervention, preventing operational disruptions and safeguarding valuable biological specimens.
[0083] Overall, the disclosed method ensures precise real-time monitoring and verification of cryogenic container (110) health, reducing manual intervention while enhancing operational efficiency. By integrating multiple sensor data points and employing predictive detection, the system proactively identifies potential issues before they escalate, allowing timely corrective actions. Further, the real-time alert system provides users with instant notifications and predictive insights, ensuring continuous monitoring and reducing the risk of unexpected failures. Further, the automated and scalable nature of the solution fosters reliability and trust, enabling seamless management of cryogenic substances across various industrial, medical, and research applications.
[0084] A person skilled in the art will understand that the scope of the disclosure is not limited to scenarios based on the aforementioned factors and using the aforementioned techniques, and that the examples provided do not limit the scope of the disclosure.
[0085] FIG. 4 illustrates a block diagram of an exemplary computer system (401) for implementing embodiments consistent with the present disclosure.
[0086] Variations of computer system (401) may be used for detecting health of the cryogenic container (110). The computer system (401) may comprise a central processing unit (“CPU” or “processor”) (402). The processor (402) may comprise at least one data processor for executing program components for executing user or system generated requests. A user may include a person, a person using a device such as those included in this disclosure, or such a device itself. Additionally, the processor (402) may include specialized processing units such as integrated system (bus) controllers, memory management control units, floating point units, graphics processing units, digital signal processing units, or the like. In various implementations the processor (402) may include a microprocessor, such as AMD Athlon, Duron or Opteron, ARM’s application, embedded or secure processors, IBM PowerPC, Intel’s Core, Itanium, Xeon, Celeron or other line of processors, for example. Accordingly, the processor (402) may be implemented using mainframe, distributed processor, multi-core, parallel, grid, or other architectures. Some embodiments may utilize embedded technologies like application-specific integrated circuits (ASICs), digital signal processors (DSPs), or Field Programmable Gate Arrays (FPGAs), for example.
[0087] Processor (402) may be disposed in communication with one or more input/output (I/O) devices via I/O interface (403). Accordingly, the I/O interface (403) may employ communication protocols/methods such as, without limitation, audio, analog, digital, monoaural, RCA, stereo, IEEE-1394, serial bus, universal serial bus (USB), infrared, PS/2, BNC, coaxial, component, composite, digital visual interface (DVI), high-definition multimedia interface (HDMI), RF antennas, S-Video, VGA, IEEE 802.n /b/g/n/x, Bluetooth, cellular (e.g., code-division multiple access (CDMA), high-speed packet access (HSPA+), global system for mobile communications (GSM), long-term evolution (LTE), WiMAX, or the like, for example.
[0088] Using the I/O interface (403), the computer system (401) may communicate with one or more I/O devices. For example, the input device (404) may be an antenna, keyboard, mouse, joystick, (infrared) remote control, camera, card reader, fax machine, dongle, biometric reader, microphone, touch screen, touchpad, trackball, sensor (e.g., accelerometer, light sensor, GPS, gyroscope, proximity sensor, or the like), stylus, scanner, storage device, transceiver, video device/source, or visors, for example. Likewise, an output device (405) may be a user’s smartphone, tablet, cell phone, laptop, printer, computer desktop, fax machine, video display (e.g., cathode ray tube (CRT), liquid crystal display (LCD), light- emitting diode (LED), plasma, or the like), or audio speaker, for example. In some embodiments, a transceiver (406) may be disposed in connection with the processor (402). The transceiver (406) may facilitate various types of wireless transmission or reception. For example, the transceiver (406) may include an antenna operatively connected to a transceiver chip (example devices include the Texas Instruments® WiLink WL1283, Broadcom® BCM4750IUB8, Infineon Technologies® X-Gold 618-PMB9800, or the like), providing IEEE 802.11a/b/g/n, Bluetooth, FM, global positioning system (GPS), and/or 2G/3G/5G/6G HSDPA/HSUPA communications, for example.
[0089] In some embodiments, the processor (402) may be disposed in communication with a communication network (408) via a network interface (407). The network interface (407) is adapted to communicate with the communication network (408). The network interface (407) may employ connection protocols including, without limitation, direct connect, Ethernet (e.g., twisted pair 10/100/1000 Base T), transmission control protocol/internet protocol (TCP/IP), token ring, or IEEE 802.11a/b/g/n/x, for example. The communication network (408) may include, without limitation, a direct interconnection, local area network (LAN), wide area network (WAN), wireless network (e.g., using Wireless Application Protocol), or the Internet, for example. Using the network interface (407) and the communication network (408), the computer system (401) may communicate with devices such as shown as a laptop (409) or a mobile/cellular phone (410). Other exemplary devices may include, without limitation, personal computer(s), server(s), fax machines, printers, scanners, various mobile devices such as cellular telephones, smartphones (e.g., Apple iPhone, Blackberry, Android-based phones, etc.), tablet computers, desktop computers, eBook readers (Amazon Kindle, Nook, etc.), laptop computers, notebooks, gaming consoles (Microsoft Xbox, Nintendo DS, Sony PlayStation, etc.), or the like. In some embodiments, the computer system (401) may itself embody one or more of these devices.
[0090] In some embodiments, the processor (402) may be disposed in communication with one or more memory devices (e.g., RAM 413, ROM 414, etc.) via a storage interface (412). The storage interface (412) may connect to memory devices including, without limitation, memory drives, removable disc drives, etc., employing connection protocols such as serial advanced technology attachment (SATA), integrated drive electronics (IDE), IEEE-1394, universal serial bus (USB), fiber channel, small computer systems interface (SCSI), etc. The memory drives may further include a drum, magnetic disc drive, magneto-optical drive, optical drive, redundant array of independent discs (RAID), solid-state memory devices, or solid-state drives, for example.
[0091] The memory devices may store a collection of program or database components, including, without limitation, an operating system (416), user interface application (417), web browser (418), mail client/server (419), user/application data (420) (e.g., any data variables or data records discussed in this disclosure) for example. The operating system (416) may facilitate resource management and operation of the computer system (401). Examples of operating systems include, without limitation, Apple Macintosh OS X, UNIX, Unix-like system distributions (e.g., Berkeley Software Distribution (BSD), FreeBSD, NetBSD, OpenBSD, etc.), Linux distributions (e.g., Red Hat, Ubuntu, Kubuntu, etc.), IBM OS/2, Microsoft Windows (XP, Vista/7/8, etc.), Apple iOS, Google Android, Blackberry OS, or the like.
[0092] The user interface (417) is for facilitating the display, execution, interaction, manipulation, or operation of program components through textual or graphical facilities. For example, user interfaces (417) may provide computer interaction interface elements on a display system operatively connected to the computer system (401), such as cursors, icons, check boxes, menus, scrollers, windows, or widgets, for example. Graphical user interfaces (GUIs) may be employed, including, without limitation, Apple Macintosh operating systems’ Aqua, IBM OS/2, Microsoft Windows (e.g., Aero, Metro, etc.), Unix X-Windows, or web interface libraries (e.g., ActiveX, Java, JavaScript, AJAX, HTML, Adobe Flash, etc.), for example.
[0093] In some embodiments, the computer system (401) may implement a web browser (418) stored program component. The web browser (418) may be a hypertext viewing application, such as Microsoft Internet Explorer, Google Chrome, Mozilla Firefox, Apple Safari, or Microsoft Edge, for example. Secure web browsing may be provided using HTTPS (secure hypertext transport protocol), secure sockets layer (SSL), Transport Layer Security (TLS), or the like. Web browsers may utilize facilities such as AJAX, DHTML, Adobe Flash, JavaScript, Java, or application programming interfaces (APIs), for example. In some embodiments the computer system (401) may implement a mail client/server (419) stored program component. The mail server (419) may be an Internet mail server such as Microsoft Exchange, or the like. The mail server may utilize facilities such as ASP, ActiveX, ANSI C++/C#, Microsoft .NET, CGI scripts, Java, JavaScript, PERL, PHP, Python, or WebObjects, for example. The mail server (419) may utilize communication protocols such as internet message access protocol (IMAP), messaging application programming interface (MAPI), Microsoft Exchange, post office protocol (POP), simple mail transfer protocol (SMTP), or the like. In some embodiments, the computer system (401) may implement a mail client (420) stored program component. The mail client (420) may be a mail viewing application, such as Apple Mail, Microsoft Entourage, Microsoft Outlook, or Mozilla Thunderbird.
[0094] In some embodiments, the computer system (401) may store user/application data (421), such as the data, variables, records, or the like as described in this disclosure. Such databases may be implemented as fault-tolerant, relational, scalable, secure databases such as Oracle or Sybase, for example. Alternatively, such databases may be implemented using standardized data structures, such as an array, hash, linked list, struct, structured text file (e.g., JSON, XML), table, or as object-oriented databases (e.g., using ObjectStore, Poet, Zope, etc.). Such databases may be consolidated or distributed, sometimes among the various computer systems discussed above in this disclosure. It is to be understood that the structure and operation of any computer or database component may be combined, consolidated, or distributed in any working combination.
[0095] Furthermore, one or more computer-readable storage media may be utilized in implementing embodiments consistent with the present invention. A computer-readable storage medium refers to any type of physical memory on which information or data readable by a processor may be stored. Thus, a computer-readable storage medium may store instructions for execution by one or more processors, including instructions for causing the processor(s) to perform steps or stages consistent with the embodiments described herein. The term “computer readable medium” should be understood to include tangible items and exclude carrier waves and transient signals, i.e., non-transitory. Examples include Random Access Memory (RAM), Read- Only Memory (ROM), volatile memory, non-volatile memory, hard drives, Compact Disc (CD) ROMs, Digital Video Disc (DVDs), flash drives, disks, and any other known physical storage media.
[0096] The present disclosure addresses the critical challenges associated with cryogenic storage in assisted reproductive technology (ART), particularly in maintaining the viability of stored gametes and embryos for in vitro fertilization (IVF) treatments. cryogenic containers (110) utilizing liquid nitrogen (LN2) are essential for preserving biological materials at ultra-low temperatures; however, failures in these cryogenic containers (110) can result in catastrophic consequences, including the loss of irreplaceable samples. Further, traditional monitoring methods rely on manual inspections, which are prone to inefficiencies, human error, and delays in detecting anomalies. Further, mechanical failures such as insulation degradation, valve malfunctions, and undetected leaks pose significant risks to temperature stability, leading to LN2 depletion and potential sample degradation.
[0097] Further, to overcome these challenges, the disclosed method introduces an automated approach for detecting the health of a cryogenic container (110) in real time or through predictive detection. The method includes receiving real-time data associated with the cryogenic container (110); dynamically comparing the receiving data with reference data; identifying anomalies based on the dynamic comparison; and detecting the health of the cryogenic container (110) based on the identified anomalies. Further, the system integrates multiple sensors, including load cells, infrared temperature sensors, and liquid cryogen level sensors, ensuring precise health detection. Further, categorized severity-based alerts allow for immediate corrective actions by triggering real-time warnings related to refill reminders, power status changes, and abnormal LN2 consumption patterns.
[0098] Further, the disclosed system offers real-time monitoring, predictive detection, and automated anomaly detection, significantly reducing reliance on manual intervention while enhancing safety and compliance. Further, the system features a user-friendly alert mechanism with historical tracking capabilities, automated detection of vacuum breaks, and over-the-air (OTA) calibration support for seamless remote maintenance. Further, cloud-based connectivity enables direct communication between the cryogenic container (110) and a centralized monitoring system, ensuring continuous oversight and real-time data updates. Further, by minimizing human error and optimizing operational costs, the disclosed solution provides a robust, scalable, and efficient approach to cryogenic storage monitoring, ensuring the integrity of biological samples and the reliability of cryogenic storage solutions.
[0099] An embodiment of the instant disclosure relates to a system (100) for detecting health of a cryogenic container (110), the system (100) comprises, a processor (202), a memory (204) communicatively coupled with the processor (202), wherein the memory (204) is configured to store one or more executable instructions, which cause the processor (202) to receive, one or more receiving data associated with the cryogenic container (110); dynamically compare, the one or more receiving data with reference data associated with the cryogenic container (110); and identify, one or more anomalies in the one or more receiving data based on the dynamic comparison; and detect, the health of the cryogenic container (110) based on the one or more anomalies in the one or more receiving data, wherein the cryogenic container (110) comprises a cryogenic substance, and wherein the detection is real-time, or predictive.
[00100] Another embodiment of the instant disclosure relates to a non-transitory computer-readable storage medium having stored thereon, a set of computer-executable instructions causing a computer comprising one or more processors to perform steps comprising receiving, one or more receiving data associated with the cryogenic container (110); dynamically comparing, the one or more receiving data with reference data associated with the cryogenic container (110); and identifying, one or more anomalies in the one or more receiving data based on the dynamic comparison; and detecting, the health of the cryogenic container (110) based on the one or more anomalies in the one or more receiving data, wherein the cryogenic container (110) comprises a cryogenic substance, and wherein the detection is real-time, or predictive.
[00101] Various embodiments of the disclosure encompass numerous advantages including methods and systems for detecting health of the cryogenic container (110). The disclosed method and system have several technical advantages, but are not limited to the following:
• Real-time monitoring as well as predictive detection: The system ensures real-time tracking and detection of health of the cryogenic container, allowing immediate identification of one or more anomalies and corrective actions. Additionally, the system employs predictive detection to foresee potential failures, enhancing proactive maintenance and reducing operational risks.
• Automated anomalies detection: By dynamically comparing real-time receiving data with predefined reference data, the system automatically identifies one or more anomalies such as, but not limited to, vacuum breaks, abnormal temperature variations, and unusual liquid nitrogen consumption, reducing manual monitoring efforts and improving accuracy.
• Multi-sensor integration for enhanced accuracy: The system integrates multiple sensors, including load cells, infrared temperature sensors, and liquid cryogen level sensors, to provide a comprehensive assessment of the cryogenic container’s condition, ensuring precise and reliable health detection.
• Categorized severity-based alerts: The system categorizes identified one or more anomalies based on severity levels, triggering real-time alerts for necessary intervention. Alerts include critical warnings such as max fill, refill reminders, power status changes, and abnormal consumption patterns, improving safety and operational efficiency.
• User-friendly alert system with historical tracking: The system generates real-time visual, audio, and electronic notifications that are displayed on user devices. Additionally, historical data, including last refill date, usage patterns, and personnel handling records, are available for improved tracking and decision-making.
• Automated detection of vacuum breaks: The system detects vacuum loss in cryogenic containers by analyzing external temperature and weight variations in real time. Additionally, predictive detection methods help forecast potential vacuum break incidents before they occur, ensuring timely maintenance.
• Over-the-air (OTA) calibration support: The system allows remote configuration adjustments and calibrations via OTA updates, enabling users to fine-tune operational parameters without requiring physical access to the container, improving ease of maintenance.
• Cloud-based connectivity with direct communication: The system leverages LoRa-based connectivity for direct communication between the cryogenic container and a cloud server, eliminating the need for intermediary devices. This ensures seamless bidirectional data transmission for real-time updates, remote configuration, and centralized monitoring.
• Reduced manual intervention and operational costs: The automation of health monitoring and anomaly detection significantly reduces the need for manual inspection, lowering labor costs and minimizing human errors in cryogenic substance management.
• Enhanced safety and compliance: By continuously monitoring critical parameters such as weight, temperature, and liquid levels, the system ensures compliance with industry standards and improves overall safety by preventing hazardous incidents related to health of the cryogenic container.
• Scalability and adaptability: The system is designed to be scalable, allowing integration with various types of cryogenic containers and adapting to different operational environments, making it suitable for diverse industrial, medical, and research applications.

[00102] In summary, the disclosed system effectively addresses the challenges associated with cryogenic container (110) monitoring by implementing a real-time, automated, and predictive health detection approach. By integrating multi-sensor technology, categorized severity-based alerts, and cloud-based connectivity, the system ensures precise anomaly detection, proactive maintenance, and enhanced safety. Further, the implementation of over-the-air (OTA) calibration and automated vacuum break detection reduces manual intervention, streamlining operational efficiency while maintaining compliance with industry standards. Additionally, the ability to track historical data and generate user-friendly alerts enhances decision-making, optimizing resource management and minimizing risks associated with cryogenic storage failures. Further, with its scalability and adaptability, the disclosed system offers a robust and cost-effective solution for a wide range of medical, industrial, and research applications, ensuring the integrity and longevity of stored biological materials.
[00103] The claimed invention of a system and a method for detecting health of the cryogenic container (110) involves tangible components, processes, and functionalities that interact to achieve specific technical outcomes. The system integrates various elements such as processors, memory, databases, modelling, real-time fast processing, unnecessary data omitting and informed displaying techniques to effectively detect health of the cryogenic container (110).
[00104] The present disclosure introduces a non-trivial combination of technologies and methodologies that provide a technical solution for a technical problem. While individual components like processors, databases, encryption, authorization and authentication are well-known in the field of computer science, their integration into a comprehensive system for detecting health of the cryogenic container (110) brings about an improvement and technical advancement in the field of in vitro fertilization (IVF) treatments, assisted reproductive technology (ART) and other related environments.
[00105] In light of the above-mentioned advantages and the technical advancements provided by the disclosed method and system for detecting health of the cryogenic container (110), the claimed steps discussed above are not routine, conventional, or well understood in the art, as the claimed steps enable the following solutions to the existing problems in conventional technologies. Further, the claimed steps clearly bring an improvement in the functioning of the device itself as the claimed steps provide a technical solution to a technical problem.
[00106] The present disclosure may be realized in hardware, or a combination of hardware and software. The present disclosure may be realized in a centralized fashion, in at least one computer system, or in a distributed fashion, where different elements may be spread across several interconnected computer systems. A computer system or other apparatus adapted for carrying out the methods described herein may be suited. A combination of hardware and software may be a general-purpose computer system with a computer program that, when loaded and executed, may control the computer system such that it carries out the methods described herein. The present disclosure may be realized in hardware that comprises a portion of an integrated circuit that also performs other functions.
[00107] A person with ordinary skills in the art will appreciate that the systems, modules, and sub-modules have been illustrated and explained to serve as examples and should not be considered limiting in any manner. It will be further appreciated that the variants of the above disclosed system elements, modules, and other features and functions, or alternatives thereof, may be combined to create other different systems or applications.
[00108] Those skilled in the art will appreciate that any of the aforementioned steps and/or system modules may be suitably replaced, reordered, or removed, and additional steps and/or system modules may be inserted, depending on the needs of a particular application. In addition, the systems of the aforementioned embodiments may be implemented using a wide variety of suitable processes and system modules, and are not limited to any particular computer hardware, software, middleware, firmware, microcode, and the like. The claims can encompass embodiments for hardware and software, or a combination thereof.
[00109] While the present disclosure has been described with reference to certain embodiments, it will be understood by those skilled in the art that various changes may be made, and equivalents may be substituted without departing from the scope of the present disclosure. In addition, many modifications may be made to adapt a particular situation or material to the teachings of the present disclosure without departing from its scope. Therefore, it is intended that the present disclosure is not limited to the particular embodiment disclosed, but that the present disclosure will include all embodiments falling within the scope of the appended claims.
, Claims:WE CLAIM:
1. A method (300) for detecting health of a cryogenic container (110),
the method (300) comprising:
receiving (302), via a processor (202), one or more receiving data associated with the cryogenic container (110);
dynamically comparing (304), via the processor (202), the one or more receiving data with reference data associated with the cryogenic container (110); and
identifying (306), via the processor (202), one or more anomalies in the one or more receiving data based on the dynamic comparison; and
detecting (308), via the processor (202) the health of the cryogenic container (110) based on the one or more anomalies in the one or more receiving data,
wherein the cryogenic container (110) comprises a cryogenic substance, and
wherein the detection is real-time, or predictive.

2. The method (300) as claimed in claim 1, wherein the cryogenic container (110) is a double-walled non-pressurized container, and
wherein the cryogenic substance is liquid nitrogen.

3. The method (300) as claimed in claim 1, wherein the one or more receiving data corresponds to one or more sensing data, one or more user input data, system-based data, or a combination thereof,
wherein, the one or more sensing data corresponds to weight of the cryogenic container (110), external temperature of the cryogenic container (110), level of the cryogenic substance in the cryogenic container (110), or a combination thereof monitored by one or more sensors,
wherein the one or more sensors correspond to at least one weight sensor, at least one temperature sensor, at least one level sensor, or a combination thereof,

wherein, the one or more user input data corresponds to sample handling data, cryogenic substance filling data, or a combination thereof, fed by a user, and

wherein the system-based data corresponds to a percentage of battery usage data, power status data, or a combination thereof, fed by a system.

4. The method (300) as claimed in claim 3, wherein the at least one weight sensor is a load cell sensor, the at least one level sensor is a liquid cryogen level sensor, and the at least one temperature sensor is an external infrared sensor.

5. The method (300) as claimed in claim 1, wherein the reference data is selected from pre-defined thresholds for weight of the cryogenic container (110), external temperature of the cryogenic container (110), level of the cryogenic substance in the cryogenic container (110), lid status of the cryogenic container (110), or a combination thereof, and
wherein the reference data is user generated, system generated, standard rules, or a combination thereof.

6. The method (300) as claimed in claim 1, wherein the health of the cryogenic container (110) corresponds to weight of the cryogenic container (110), external temperature of the cryogenic container (110), level of the cryogenic substance in the cryogenic container (110), vacuum break, workability of the cryogenic container (110), or a combination thereof.

7. The method (300) as claimed in claim 1, wherein the one or more anomalies correspond to deviation in values of the one or more receiving data based on the dynamic comparison, and
wherein the one or more anomalies are categorized into one or more severity based on the dynamic comparison.

8. The method (300) as claimed in claim 7, wherein the one or more severity corresponds to the level of escalation/attention needed to absolve the one or more anomalies.

9. The method (300) as claimed in claim 3 or claim 7, wherein one or more alert is generated in real-time based on the one or more severity,
wherein the one or more alert corresponds to max fill, refill, power status (on/off), low battery, high/low surface temperature, abnormal consumption rate, vacuum break, or a combination thereof,
wherein the one or more alert is displayed on a user device as visual alerts, audio alerts, electronic notifications, or a combination thereof, and
wherein the user device comprises one or more UI elements to feed the one or more user input data.

10. The method (300) as claimed in claim 9, wherein the one or more alert is displayed with a historical data associated with the cryogenic container (110),
wherein the historical data corresponds to last refill date of the cryogenic container (110), number of times the cryogenic container (110) has been used, duration of each usage of the cryogenic container (110), list of personnel who have handled the cryogenic container (110), or a combination thereof.

11. The method (300) as claimed in claim 3 or claim 6, wherein the identification of the anomalies in the external temperature of the cryogenic container (110) and the weight of the cryogenic container (110) detects the vacuum break,
wherein the detection is real-time.

12. The method (300) as claimed in claim 3 or claim 6, wherein the identification of the anomaly in the external temperature of the cryogenic container (110) detects the vacuum break,
wherein the detection is predictive.

13. The method (300) as claimed in claim 9, wherein the method supports over-the-air (OTA) calibration based on the one or more user input data provided via the one or more UI elements.

14. The method (300) as claimed in claim 1, wherein the cryogenic container (110) is configured to communicate with a cloud server using LoRa connectivity, wherein the cryogenic container (110) operates in a master mode to directly transmit and receive data from the cloud server without requiring an intermediary device,
wherein configuration settings are managed on the cloud server and subsequently pushed to the cryogenic container (110), and
wherein the communication is bidirectional,
enabling the data transmission from the cryogenic container (110) to the cloud server and vice versa.

15. A system (100) for detecting health of a cryogenic container (110),
the system (100) comprises:
a processor (202), a memory (204) communicatively coupled with the processor (202), wherein the memory (204) is configured to store one or more executable instructions, which cause the processor (202) to:
receive, one or more receiving data associated with the cryogenic container (110);
dynamically compare, the one or more receiving data with reference data associated with the cryogenic container (110); and
identify, one or more anomalies in the one or more receiving data based on the dynamic comparison; and
detect, the health of the cryogenic container (110) based on the one or more anomalies in the one or more receiving data,
wherein the cryogenic container (110) comprises a cryogenic substance, and
wherein the detection is real-time, or predictive.

16. A non-transitory computer-readable storage medium having stored thereon, a set of computer-executable instructions causing a computer comprising one or more processors to perform steps comprising:
receiving, one or more receiving data associated with the cryogenic container (110);
dynamically comparing, the one or more receiving data with reference data associated with the cryogenic container (110); and
identifying, one or more anomalies in the one or more receiving data based on the dynamic comparison; and
detecting, the health of the cryogenic container (110) based on the one or more anomalies in the one or more receiving data,
wherein the cryogenic container (110) comprises a cryogenic substance, and
wherein the detection is real-time, or predictive.
Dated this 20th Day of March 2025

ABHIJEET GIDDE
AGENT FOR THE APPLICANT
IN/PA- 4407