Description:BACKGROUND
Field of Invention
[001] Embodiments of the present invention generally relate to a fire detection and alert system and particularly to a smart fire detection and alert system with mobile application integration.
Description of Related Art
[002] Fire safety systems have historically relied on detection mechanisms that activate only after combustion has begun. Traditional smoke detectors often use ionization or photoelectric sensors, which perform adequately under certain conditions but face challenges in detecting fires that emit little or no visible smoke. Electrical fires and chemical-based combustion events, for example, often evade early detection, resulting in delayed alarm triggers. These systems also suffer from environmental interference, where dust, steam, or fumes trigger false alarms, thereby reducing user confidence and overall reliability.
[003] Heat-based sensors provide an alternative to smoke detection but introduce limitations of their own. These sensors typically activate only after substantial temperature elevation, which delays intervention during low-heat smoldering fires. Their inability to distinguish between normal thermal fluctuations and fire-related heat surges results in both missed detections and false alarms. Image-based detection technologies, which rely on camera input and visual analysis, encounter difficulties under low-light conditions or when physical obstructions exist. These systems also produce false positives due to visual artifacts such as shadows or reflective surfaces.
[004] Advanced systems that utilize artificial intelligence and wireless communication have attempted to improve fire hazard detection. While these approaches introduce predictive analytics and remote alerting capabilities, they often require significant infrastructure investment and high computational power. Furthermore, wireless solutions struggle with issues like limited battery life, signal interference in dense environments, and susceptibility to cybersecurity threats.
[005] There is thus a need for an improved and advanced smart fire detection and alert system with mobile application integration that can administer the aforementioned limitations in a more efficient manner.
SUMMARY
[006] Embodiments in accordance with the present invention provide a smart fire detection and alert system with mobile application integration. The system comprising a local processor adapted to receive surrounding data from a data capturing unit. The data capturing unit is installed in a premise in a distributed manner. The system further comprising a processing unit, established on a cloud server, is communicatively connected to the local processor. The processing unit is configured to receive the surrounding data from the local processor; analyze the received surrounding data using an Artificial Intelligence (AI) computational technique; generate time-based trends from the analyzed surrounding data; compare the analyzed surrounding data with a first benchmark stored in a database; transmit an encoded first alert notating unfavorable living conditions in the premise to a computing application installed in a computing device, when the analyzed surrounding data exceeds the first benchmark. The transmission of the encoded first alert is carried out using a communication network.
[007] Embodiments in accordance with the present invention further provide a method for fire detection and alert with mobile application integration. The method comprising steps of receiving surrounding data from a local processor; analyzing the received surrounding data using an Artificial Intelligence (AI) computational technique; generating time-based trends from the analyzed surrounding data; comparing the analyzed surrounding data with a first benchmark stored in a database; transmitting an encoded first alert notating unfavorable living conditions in the premise to a computing application installed in a computing device, when the analyzed surrounding data exceeds the first benchmark. The transmission of the encoded first alert is carried out using a communication network.
[008] Embodiments of the present invention may provide a number of advantages depending on their particular configuration. First, embodiments of the present application may provide a smart fire detection and alert system with mobile application integration.
[009] Next, embodiments of the present application may provide a fire detection and alert system that detects abnormal temperature patterns before visible smoke or high heat levels emerge, allowing for early intervention and prevention of fire outbreaks.
[0010] Next, embodiments of the present application may provide a fire detection and alert system that enables users to receive instant notifications and monitor fire risks remotely, ensuring timely action even when they are not physically present.
[0011] Next, embodiments of the present application may provide a fire detection and alert system that automatically contacts emergency services with precise geographical coordinates, ensuring rapid response without relying on manual reporting.
[0012] Next, embodiments of the present application may provide a fire detection and alert system that uses intelligent algorithms to distinguish between actual fire risks and benign conditions, significantly lowering false alarm rates.
[0013] Next, embodiments of the present application may provide a fire detection and alert system that allows for historical data logging, analysis, and trend identification, enhancing long-term fire safety through predictive insights and system adaptability.
[0014] These and other advantages will be apparent from the present application of the embodiments described herein.
[0015] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
BRIEF DESCRIPTION OF THE DRAWINGS
[0016] The above and still further features and advantages of embodiments of the present invention will become apparent upon consideration of the following detailed description of embodiments thereof, especially when taken in conjunction with the accompanying drawings, and wherein:
[0017] FIG. 1 illustrates a schematic diagram of a smart fire detection and alert system with mobile application integration, according to an embodiment of the present invention;
[0018] FIG. 2 illustrates a block diagram of a processing unit, according to an embodiment of the present invention; and
[0019] FIG. 3 depicts a flowchart of a method for fire detection and alert with mobile application integration, according to an embodiment of the present invention.
[0020] The headings used herein are for organizational purposes only and are not meant to be used to limit the scope of the description or the claims. As used throughout this application, the word "may" is used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Similarly, the words “include”, “including”, and “includes” mean including but not limited to. To facilitate understanding, like reference numerals have been used, where possible, to designate like elements common to the figures. Optional portions of the figures may be illustrated using dashed or dotted lines, unless the context of usage indicates otherwise.
DETAILED DESCRIPTION
[0021] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the scope of the invention as defined in the claims.
[0022] In any embodiment described herein, the open-ended terms "comprising", "comprises”, and the like (which are synonymous with "including", "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of", “consists essentially of", and the like or the respective closed phrases "consisting of", "consists of”, the like.
[0023] As used herein, the singular forms “a”, “an”, and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.
[0024] FIG. 1 illustrates a schematic diagram of a smart fire detection and alert system 100 (hereinafter referred to as the system 100) with mobile application integration, according to an embodiment of the present invention. The system 100 may be adapted to continually monitor a premise for a fire outbreak and/or conditions that may later tend to initiate the fire outbreak. The system 100 may flag locations in the premise susceptible to the fire outbreak and may inform a user along with the flagged location to manually intervene and eliminate any potential fire hazard. Further, the system 100 may be adapted to call out fire authorities in cases of the fire outbreak in the premise.
[0025] The system 100 may be installed in locations such as, but not limited to, a home, a school, a shopping mall, an office, a train station, an airport, an auditorium, and so forth. Embodiments of the present invention are intended to include or otherwise cover any location for installation of the system 100, including known, related art, and/or later developed technologies.
[0026] According to the embodiments of the present invention, the system 100 may incorporate non-limiting hardware components to enhance the processing speed and efficiency such as the system 100 may comprise a data capturing unit 102, a local processor 104, a processing unit 106, a cloud server 108, a database 110, a computing device 112, a computing application 114, and a communication network 116. In an embodiment of the present invention, the hardware components of the system 100 may be integrated with computer-executable instructions for overcoming the challenges and the limitations of the existing systems.
[0027] In an embodiment of the present invention, the data capturing unit 102 may be installed in the premise in a distributed manner. In another embodiment of the present invention, the data capturing unit 102 may be centrally installed in the premise. The data capturing unit 102 may be configured to capture surrounding data from the premise. The surrounding data may be, but not limited to, a temperature, a pollutant concentration, a level of carbon dioxide, a level of carbon monoxide, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the surrounding data, including known, related art, and/or later developed technologies. The data capturing unit 102 may encapsulate sensors such as, but not limited to, temperature sensors, smoke sensors, humidity sensors, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the sensors, including known, related art, and/or later developed technologies, that may be encapsulated in the data capturing unit 102.
[0028] In an embodiment of the present invention, the local processor 104 may be adapted to receive the surrounding data from the data capturing unit 102.
[0029] In an embodiment of the present invention, the processing unit 106 may be connected to the local processor 104. The processing unit may be established and installed on the cloud server 108. The processing unit 106 may further be configured to execute computer-executable instructions to generate an output relating to the system 100. According to embodiments of the present invention, the processing unit 106 may be, but not limited to, a Programmable Logic Control (PLC) unit, a microprocessor, a development board, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the processing unit 106 including known, related art, and/or later developed technologies. In an embodiment of the present invention, the processing unit 106 may further be explained in conjunction with FIG. 2.
[0030] In an embodiment of the present invention, the cloud server 108 may be remotely located. In an exemplary embodiment of the present invention, the cloud server 108 may be a public cloud server. In another exemplary embodiment of the present invention, the cloud server 108 may be a private cloud server. In yet another embodiment of the present invention, the cloud server 108 may be a dedicated cloud server. According to embodiments of the present invention, the cloud server 108 may be, but not limited to, a Microsoft Azure cloud server, an Amazon AWS cloud server, a Google Compute Engine (GCE) cloud server, an Amazon Elastic Compute Cloud (EC2) cloud server, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the cloud server 108 including known, related art, and/or later developed technologies.
[0031] In an embodiment of the present invention, the database 110 may be adapted to store a first benchmark, a second benchmark, and a third benchmark. The processing unit 106 may be configured to compare the surrounding data with one of the first benchmark, the second benchmark, or the third benchmark to detect the potential fire hazard and/or the fire outbreak. The database 110 may be for example, but not limited to, a distributed database, a personal database, an end-user database, a commercial database, a Structured Query Language (SQL) database, a non-Structured Query Language (SQL) database, an operational database, a relational database, an object-oriented database, a graph database, and so forth. In a preferred embodiment of the present invention, the database 110 may be a cloud database. Embodiments of the present invention are intended to include or otherwise cover any type of the database 110 including known, related art, and/or later developed technologies. Further, the database 110 may be stored in the cloud server 108, in an embodiment of the present invention.
[0032] In an embodiment of the present invention, the computing device 112 may be an electronic device that may enable the user to view the surrounding data in a real time. The computing device 112 may further enable the user to receive alerts indicating the potential fire hazard and/or the fire outbreak. The surrounding data and the alerts may further be displayed on the computing application 114 installed in the computing device 112. The computing device 112 may be, but not limited to, a smart phone, a cell phone, a laptop, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the computing device 112, including known, related art, and/or later developed technologies.
[0033] In an embodiment of the present invention, the communication network 116 may be adapted to establish a communicative link between the computing device 112 and the processing unit 106. The communication network 116 may be adapted to continually transmit generated time-based trends to the computing application 114 installed in the computing device 112.
[0034] The communication network 116 may be adapted to operate on an Internet of Things (IoT) protocol. The communication network 116 may be, but not limited to, a Wireless Fidelity (Wi-Fi) network, a Long Range (LoRa) network, a Virtual Private Network (VPN), and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the communication network 116, including known, related art, and/or later developed technologies.
[0035] FIG. 2 illustrates a block diagram of the processing unit 106, according to an embodiment of the present invention. The processing unit 106 may comprise the computer-executable instructions in form of programming modules such as a data receiving module 200, a data analysis module 202, a data generation module 204, a data comparison module 206, and a data transmission module 208.
[0036] In an embodiment of the present invention, the data receiving module 200 may be configured to receive the surrounding data from the local processor 104. The data receiving module 200 may be configured to transmit the received surrounding data to the data analysis module 202.
[0037] The data analysis module 202 may be activated upon receipt of the surrounding data from the data receiving module 200. In an embodiment of the present invention, the data analysis module 202 may be configured to analyze the received surrounding data using an Artificial Intelligence (AI) computational technique. The analysis of the surrounding data may return insights, information, a rate of change in temperature, a rate of decay of humidity, a rate of deviation of air particulates and molecules, and so forth. The data analysis module 202 may be configured to transmit the analyzed surrounding data to the data generation module 204 and to the data comparison module 206.
[0038] The data generation module 204 may be activated upon receipt of the analyzed surrounding data from the data analysis module 202. In an embodiment of the present invention, the data generation module 204 may be configured to generate the time-based trends from the analyzed surrounding data. The time-based trends may represent changes and/or deviations in the surrounding data of the premise over a given period of time. The generated time-based trends may be represented by infographics such as, but not limited to, a line graph, a bar graph, a pie chart, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of infographic, including known, related art, and/or later developed technologies.
[0039] The data comparison module 206 may be activated upon receipt of the analyzed surrounding data from the data analysis module 202. In an embodiment of the present invention, the data comparison module 206 may be configured to compare the analyzed surrounding data with the first benchmark, the second benchmark, and the third benchmark, stored in the database 110. Upon comparison, if the analyzed surrounding data exceeds the first benchmark, then the data comparison module 206 may transmit a first signal to the data transmission module 208. Further, if the analyzed surrounding data exceeds the second benchmark, then the data comparison module 206 may transmit a second signal to the data transmission module 208. Furthermore, if the analyzed surrounding data exceeds the third benchmark, then the data comparison module 206 may transmit a third signal to the data transmission module 208. However, if the analyzed surrounding data may be below each of the first benchmark, the second benchmark, and the third benchmark, then the data comparison module 206 may be configured to reactivate the data receiving module 200.
[0040] The data transmission module 208 may be activated upon receipt of the first signal from the data comparison module 206. If activated upon receipt of the first signal, the data transmission module 208 may be configured to transmit an encoded first alert to the computing application 114 installed in the computing device 112, via the communication network 116. The first signal may notate unfavorable living conditions. The encoded first alert may encompass metadata such as, but not limited to, the generated time-based trends, the received surrounding data, a nominated location in the premise experiencing unfavorable living conditions, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the metadata, including known, related art, and/or later developed technologies. The unfavorable living conditions may be, but not limited to, a high concentration of carbon dioxide in the premise, a high concentration of carbon monoxide in the premise, a high temperature in the premise, a presence of Sulphur in the premise, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the unfavorable living conditions, including known, related art, and/or later developed technologies.
[0041] The data transmission module 208 may be activated upon receipt of the second signal from the data comparison module 206. If activated upon receipt of the second signal, the data transmission module 208 may be configured to transmit an encoded second alert to the computing application 114 installed in the computing device 112, via the communication network 116. The second signal may notate the fire hazard in the premise. The encoded second alert may encompass metadata such as, but not limited to, the generated time-based trends, the received surrounding data, a nominated fire hazard location in the premise, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the metadata, including known, related art, and/or later developed technologies.
[0042] The data transmission module 208 may be activated upon receipt of the third signal from the data comparison module 206. If activated upon receipt of the third signal, the data transmission module 208 may be configured to transmit an encoded third alert to the fire authorities, via the communication network 116. The third signal may notate the fire outbreak in the premise. The encoded third alert may encompass metadata such as, but not limited to, the generated time-based trends, the received surrounding data, a location of fire outbreak in the premise, geographical coordinates of the premise, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the metadata, including known, related art, and/or later developed technologies.
[0043] The encoded first alert, the encoded second alert, and the encoded third alert received on the computing device 112 may be in a predefined form, in an embodiment of the present invention. The predefined form of the alerts received on the computing device 112 may be, but not limited to a pop-up alert, a flash alert, a ringer alert, a silent alert, a push alert, a hidden alert, an electronic mail alert, a Short Message Service (SMS) alert, an always on-screen alert, and so forth. Embodiments of the present invention are intended to include or otherwise cover any predefined form of the alerts that may be received on the computing device 112, including known, related art, and/or later developed technologies.
[0044] FIG. 3 depicts a flowchart of a method 300 for fire detection and alert with the mobile application integration, according to an embodiment of the present invention.
[0045] At step 302, the system 100 may receive the surrounding data from the local processor 104.
[0046] At step 304, the system 100 may analyze the received surrounding data using an Artificial Intelligence (AI) computational technique.
[0047] At step 306, the system 100 may generate the time-based trends from the analyzed surrounding data.
[0048] At step 308, the system 100 may continually transmit the generated time-based trends to the computing application 114 installed in the computing device 112.
[0049] At step 310, the system 100 may compare the analyzed surrounding data with the first benchmark. Upon comparison, if the analyzed surrounding data exceeds the first benchmark, then the method 300 may proceed to a step 312. Otherwise, the method 300 may proceed to a step 314.
[0050] At step 312, the system 100 may transmit the encoded first alert notating the unfavorable living conditions in the premise to the computing application 114 installed in the computing device 112.
[0051] At step 314, the system 100 may compare the analyzed surrounding data with the second benchmark. Upon comparison, if the analyzed surrounding data exceeds the second benchmark, then the method 300 may proceed to a step 316. Else, the method 300 may proceed to a step 318.
[0052] At step 316, the system 100 may transmit the encoded second alert notating the fire hazard in the premise to the computing application 114 installed in the computing device 112.
[0053] At step 318, the system 100 may compare the analyzed surrounding data with the third benchmark. Upon comparison, if the analyzed surrounding data exceeds the third benchmark, then the method 300 may proceed to a step 320. Else, the method 300 may revert to the step 302.
[0054] At step 320, the system 100 may transmit the encoded third alert notating the fire outbreak in the premise to the fire authorities.
[0055] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it is to be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
[0056] This written description uses examples to disclose the invention, including the best mode, and also to enable any person skilled in the art to practice the invention, including making and using any devices or systems and performing any incorporated methods. The patentable scope of the invention is defined in the claims and may include other examples that occur to those skilled in the art. Such other examples are intended to be within the scope of the claims if they have structural elements that do not differ from the literal language of the claims, or if they include equivalent structural elements within substantial differences from the literal languages of the claims. , Claims:CLAIMS
I/We Claim:
1. A smart fire detection and alert system (100) with mobile application integration, the system (100) comprising:
a local processor (104) adapted to receive surrounding data from a data capturing unit (102), wherein the data capturing unit (102) is installed in a premise in a distributed manner;
a processing unit (106), established on a cloud server (108), is communicatively connected to the local processor (104), characterized in that the processing unit (106) is configured to:
receive the surrounding data from the local processor (104);
analyze the received surrounding data using an Artificial Intelligence (AI) computational technique;
generate time-based trends from the analyzed surrounding data;
compare the analyzed surrounding data with a first benchmark stored in a database (110); and
transmit an encoded first alert notating unfavorable living conditions in the premise to a computing application (114) installed in a computing device (112), when the analyzed surrounding data exceeds the first benchmark, wherein the transmission of the encoded first alert is carried out using a communication network (116).
2. The system (100) as claimed in claim 1, wherein the communication network (116) is adapted to continually transmit the generated time-based trends to the computing application (114) installed in the computing device (112).
3. The system (100) as claimed in claim 1, wherein the encoded first alert comprises the generated time-based trends, the received surrounding data, a nominated location in the premise experiencing unfavorable living conditions, or a combination thereof.
4. The system (100) as claimed in claim 1, wherein the processing unit (106) is configured to transmit an encoded second alert notating a fire hazard in the premise to the computing application (114) installed in the computing device (112) when the received surrounding data exceeds the second benchmark.
5. The system (100) as claimed in claim 1, wherein the processing unit (106) is configured to transmit an encoded third alert notating a fire outbreak in the premise to fire authorities, when the received surrounding data exceeds the third benchmark.
6. The system (100) as claimed in claim 1, wherein the data capturing unit (102) comprises temperature sensors, smoke sensors, humidity sensors, or a combination thereof.
7. The system (100) as claimed in claim 1, wherein the surrounding data is selected from a temperature, a pollutant concentration, a level of carbon dioxide, a level of carbon monoxide, or a combination thereof.
8. A method (300) for fire detection and alert with mobile application integration, the method (300) is characterized by steps of:
receiving surrounding data from a local processor (104);
analyzing the received surrounding data using an Artificial Intelligence (AI) computational technique;
generating time-based trends from the analyzed surrounding data;
comparing the analyzed surrounding data with a first benchmark stored in a database (110); and
transmitting an encoded first alert notating unfavorable living conditions in the premise to a computing application (114) installed in a computing device (112), when the analyzed surrounding data exceeds the first benchmark, wherein the transmission of the encoded first alert is carried out using a communication network (116).
9. The method (300) as claimed in claim 8, comprising a step of continually transmitting the generated time-based trends to the computing application (114) installed in the computing device (112).
10. The method (300) as claimed in claim 8, wherein the surrounding data is selected from a temperature, a pollutant concentration, a level of carbon dioxide, a level of carbon monoxide, or a combination thereof.
Date: May 06, 2025
Place: Noida

Nainsi Rastogi
Patent Agent (IN/PA-2372)
Agent for the Applicant