Description:FIELD OF DISCLOSURE
[0001] The present disclosure generally relates to electric kettle device and specifically relates to a smart portable kettle device.
BACKGROUND OF THE DISCLOSURE
[0002] Embodiments of the present invention generally relate to an artificial intelligence (AI)-powered smart portable kettle device for simultaneous heating and cooling.
[0003] The current landscape of portable liquid temperature control devices is largely limited to single-function systems that are either heating-only or cooling-only. Most commonly available portable kettle devices on the market are designed primarily to boil or warm water, tea, or coffee. Such devices are generally operated using simple electric resistance heating elements and controlled by either a basic thermostat or a manually adjustable temperature dial. While sufficient for boiling water, such systems do not offer precise control over different temperature requirements for diverse types of liquid foods such as milk or baby food. Furthermore, existing solutions lack the intelligence to dynamically detect what kind of fluid is being heated and therefore require users to manually set or guess appropriate temperature, leading to frequent incidents of overheating, scalding, or the degradation of sensitive nutrients, especially in items such as infant formula or medicinal drinks.
[0004] For the purpose of the cooling side, refrigeration-based technologies such as mini coolers and thermoelectric boxes are widely used for compact cooling. However, such systems are typically bulky, not optimized for rapid temperature shifts, and not specifically designed to work with consumable liquids stored in portable containers. Some of the solutions using Peltier modules in current portable cooling devices are generally designed to function in isolated roles, and not in conjunction with heating elements for dynamic temperature switching or dual operation. Further, existing solution do not have any fluid identification mechanism.
[0005] Some of the existing travel mugs and smart thermos bottles on the market incorporate minimal temperature monitoring functionality and may provide digital readouts of the fluid temperature. However, such solutions lack the ability to either reduce the temperature of a hot liquid or intelligently adjust their function based on the type of fluid. The Existing dual-chamber systems in fluid management are typically restricted to industrial or laboratory applications, where precise thermal control is needed, as well as are often powered by large, immobile setups and are not optimized for compact, energy-efficient consumer use.
[0006] Therefore, there exists a gap, in term of portable consume4 solution that allows simultaneous heating and cooling of two different liquids on demand. Thus, the present invention discloses a smart portable kettle device for simultaneous heating and cooling.
SUMMARY
[0007] The following is a summary description of illustrative embodiments of the invention. It is provided as a preface to assist those skilled in the art to more rapidly assimilate the detailed design discussion which ensues and is not intended in any way to limit the scope of the claims which are appended hereto in order to particularly point out the invention.
[0008] Embodiments in accordance with the present invention provide an artificial intelligence (AI)-powered smart portable kettle. Embodiments in accordance with the present invention further provide an artificial intelligence (AI)-based method 200 for simultaneous heating and cooling different liquids.
[0009] Embodiments of the present invention may provide a number of advantages depending on its particular configuration. First, embodiments of the present application provide artificial intelligence (AI)-powered smart portable kettle. Next, embodiments of the present application provide an artificial intelligence (AI)-based method 200 for simultaneous heating and cooling different liquids.
[0010] The present disclosure solves all the major limitation of traditional system.
[0011] An objective of the present disclosure is to enable simultaneous heating and cooling of liquids in a portage smart kettle device.
[0012] Another objective of the present disclosure is to integrate advanced fluid identification sensing to automatically detect the type of liquid.
[0013] Another objective of the present disclosure is to optimize temperature control using AI.
[0014] Another objective of the present disclosure is to provide real-time monitoring and control.
[0015] Yet another objective of the present disclosure is to deliver a portable and energy-efficient solution to overcome the bulkiness of traditional heating or cooling devices.
[0016] Yet another objective of the present disclosure is to provide an easy-to-use solution and ensure safe operations.
[0017] In the light of above disclosure, in an aspect of the present invention an artificial intelligence (AI)-powered smart portable kettle device is disclosed herein. The kettle device comprising a dual-chamber body capable of containing at least two different liquids simultaneously. The kettle device also comprising a plurality of smart fluid identification sensor integrated with the dual-chamber body and the smart fluid identification sensors configured to detect liquid viscosity, conductivity, and absorption spectrum to classify the liquid accurately. The kettle device also comprising a peltier-based thermoelectric mechanism operably connected to each chamber of the dual-chamber body and the peltier-based thermoelectric mechanism configured to enable independent heating and cooling. The kettle device also comprising a controller unit operably connected to the plurality of smart fluid identification sensor and the peltier-based thermoelectric mechanism and the controller unit configured to control operations for each chamber of the dual-chamber body. The kettle device also comprising an intelligent temperature optimization module executed by the controller unit and the intelligent temperature optimization module configured to optimize temperature level based on the detected liquid. The kettle device also comprising a mobile application operably connected to the controller unit and the mobile application configured to provide remote monitoring and control capabilities to a user.
[0018] In one embodiment, the mobile application is connected to the controller unit via a communication module.
[0019] In one embodiment, a user interface is connected to a dual-chamber body for manual or automated operation of the kettle device.
[0020] In one embodiment, the smart fluid identification sensors further include at least one optical sensor.
[0021] In one embodiment, the smart fluid identification sensors further include at least one dielectric property sensor.
[0022] In one embodiment, the smart fluid identification sensors further include at least one infrared spectrometer.
[0023] In one embodiment, the smart fluid identification sensors detect liquid viscosity, conductivity, and absorption spectrum.
[0024] In one embodiment, the controller unit also includes a classification module configured to classify the liquid accurately.
[0025] In one embodiment, the controller unit also includes a plurality of machine learning algorithm configured to adjust the heating/cooling cycle based on liquid type, external temperature, and user preference.
[0026] In one embodiment, the controller unit also includes a notification generation module.
[0027] In one embodiment, the user interface and the mobile application receives alerts for overheating, cooling completion, and safety notifications generated by the notification generation module.
[0028] In one embodiment, the intelligent temperature optimization module includes a pre-trained artificial intelligence (AI) model configured to determine the required temperature for heating or cooling based on the detected liquid.
[0029] In another aspect of the present invention an artificial intelligence (AI)-based method for simultaneous heating and cooling different liquids is disclosed herein. The method comprising detecting various properties of liquid contained in each of the two separate chambers of a dual-chamber body using a plurality of smart fluid identification sensor. The method also comprising analyzing the detected properties using a classification module. The method also comprising determining the optimal temperature for each chamber of the dual-chamber body based on the liquid type via an intelligent temperature optimization module executed by a controller unit. The method also comprising activating a peltier-based thermoelectric mechanism to independently heat or cool the liquid in each chamber of the dual-chamber body at the required temperature. The method also comprising receiving user input or preferences via a mobile application to modify or override the automated temperature settings. The method also comprising issuing notification to a user regarding status events including heating completion, cooling completion, or unsafe conditions via the notification generation module.
[0030] These and other advantages will be apparent from the present application of the embodiments and solves abovementioned limitations in the traditional system.
[0031] 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.
[0032] These elements, together with the other aspects of the present disclosure and various features are pointed out with particularity in the claims annexed hereto and form a part of the present disclosure. For a better understanding of the present disclosure, its operating advantages, and the specified object attained by its uses, reference should be made to the accompanying drawings and descriptive matter in which there are illustrated exemplary embodiments of the present disclosure.
BRIEF DESCRIPTION OF THE DRAWINGS
[0033] 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:
[0034] FIG. 1 illustrates a block diagram of an artificial intelligence (AI)-powered smart portable kettle device, according to an embodiment of the present invention; and
[0035] FIG. 2 illustrates a flow diagram for an artificial intelligence (AI)-based method for simultaneous heating and cooling different liquids, according to an embodiment of the present invention.
[0036] 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
[0037] 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 spirit and scope of the invention as defined in the claims.
[0038] 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.
[0039] 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.
[0040] FIG. 1 illustrates a block diagram of an artificial intelligence (AI)-powered smart portable kettle device 100, according to an embodiment of the present invention.
[0041] The kettle device 100 may be comprising a dual-chamber body 102, a plurality of smart fluid identification sensor 104, a peltier-based thermoelectric mechanism 106, a controller unit 108, an intelligent temperature optimization module 110, and a mobile application 112.
[0042] The dual-chamber body 102 may be capable of containing at least two different liquids simultaneously.
[0043] In a preferred embodiment, the dual-chamber body 102 may have two separate chambers or sections, with or without a common lid. In an embodiment of the present disclosure, the dual-chamber body 102 may be two thermally isolated compartments, each functioning independently with own thermoelectric control. The configuration of the dual-chamber body 102 may allow one chamber to heat a liquid, while the other chamber cools a different liquid.
[0044] In an embodiment of the present disclosure, the dual-chamber body 102 may have internal wall separating the chambers. In an embodiment of the present disclosure, the dual-chamber body 102 may have vertically or horizontally aligned chambers. In an embodiment of the present disclosure, the dual-chamber body 102 may be constructed from lightweight, heat-resistant, and food-grade polymers such as high-density polyethylene (HDPE), polypropylene (PP), or polycarbonate (PC). Embodiments of the present disclosure are intended to include or cover materials that may withstand both high and low temperature extremes, resist corrosion, and may maintain the safety of consumable liquids stored inside. In some embodiments, the chambers of the dual-chamber body 102 may also be removable or modular, allowing a user to detach and clean each compartment separately.
[0045] The plurality of smart fluid identification sensor 104 may be integrated with the dual-chamber body 102 and the smart fluid identification sensors 104 configured to detect liquid viscosity, conductivity, and absorption spectrum to classify the liquid accurately.
[0046] The smart fluid identification sensors 104 may further include at least one optical sensor 118. The smart fluid identification sensors 104 may further include at least one dielectric property sensor 120. The smart fluid identification sensors 104 may further include at least one infrared spectrometer 122.
[0047] The smart fluid identification sensors 104 may detect liquid viscosity, conductivity, and absorption spectrum.
[0048] In an embodiment of the present disclosure, the smart fluid identification sensors 104 may be strategically integrated into or adjacent to the dual-chamber body 102 to detect and classify the type of liquid present in each chamber/compartment. Each sensor of the smart fluid identification sensors 104 may be configured to analyse physical and chemical properties of the liquid to accurately distinguish between different liquids such as, but not limited to, water, milk, tea, coffee, baby formula, or juice.
[0049] In an embodiment of the present disclosure, the optical sensors 118 may be configured to analyse light transmission or reflection properties across various wavelengths, which helps detect coloration and particulate concentration useful for distinguishing between type of liquid. In an embodiment of the present disclosure, the dielectric property sensor 120 may evaluate the permittivity of the liquid, which varies across different liquids due to their molecular composition and polarization properties. This measurement may help in identifying fluids that have distinct dielectric signatures compared to water. In an embodiment of the present disclosure, the infrared spectrometer 122 may scan the liquid's absorption spectrum, allowing precise identification based on molecular vibrations, useful for distinguishing between organic compounds in various liquids.
[0050] In an embodiment of the present disclosure, the smart fluid identification sensors 104 may actively and passively collect data on the viscosity (flow resistance), conductivity (ion concentration), and absorption spectrum (optical fingerprint) of the liquid. In an embodiment of the present disclosure, the smart fluid identification sensors 104 may be electronically coupled to controller unit 108, which preprocesses the signals and process relevant parameters 43for fluid classification.
[0051] In some of the present disclosure, the smart fluid identification sensors 104 may be implemented as a removable sensor array module or be directly embedded into the inner chamber linings of the dual-chamber body 102. In an embodiment of the present disclosure, the smart fluid identification sensors 104 may be drawn from the main power management unit of the kettle device 100.
[0052] The peltier-based thermoelectric mechanism 106 may be operably connected to each chamber of the dual-chamber body 102 and the peltier-based thermoelectric mechanism 106 configured to enable independent heating and cooling.
[0053] In an embodiment of the present disclosure, the Peltier-based thermoelectric mechanism 106 may be operably connected to each individual chamber of the dual-chamber body 102, allowing for precise and independent thermal control of the liquids contained within each chamber. This mechanism utilizes solid-state thermoelectric modules based on the Peltier effect, which can generate a temperature differential across their surfaces when electric current may be applied. In some embodiment, each chamber is paired with a dedicated Peltier unit, which can function in either heating or cooling mode depending on the operational parameters.
[0054] In an embodiment of the present disclosure, the peltier-based thermoelectric mechanism 106 may be thermally coupled to the chamber walls using high-conductivity thermal interface materials, ensuring efficient heat transfer while maintaining physical isolation between the chambers. In an embodiment of the present disclosure, the peltier-based thermoelectric mechanism 106 with physical and thermal separation may allow each chamber to operate under different thermal conditions enabling one to heat a liquid while the other simultaneously cools a separate liquid. In some embodiments, a set of micro-fans or heat sinks may be integrated with the peltier-based thermoelectric mechanism 106 to dissipate heat from the hot side, improving efficiency and more.
[0055] In some embodiments, the peltier-based thermoelectric mechanism 106 may include temperature sensors embedded near the liquid-contact surfaces. In some embodiments, the dual-chamber body 102 may have designated peltier hot chamber and peltier cold chamber.
[0056] The controller unit 108 may be operably connected to the plurality of smart fluid identification sensor 104 and the peltier-based thermoelectric mechanism 106 and the controller unit 108 configured to control operations for each chamber of the dual-chamber body 102.
[0057] In an embodiment of the present disclosure, the controller unit 108 may be any microcontroller or microprocessor unit. In some embodiments, the controller unit 108 may a remote cloud-based server. In an embodiment of the present disclosure, the controller unit 108 may support various data communication protocols such as, but not limited to, I2C, SPI, or UART to connect with the plurality of smart fluid identification sensor 104, the peltier-based thermoelectric mechanism 106, and other components.
[0058] The controller unit 108 may also include a classification module 124 configured to classify the liquid accurately.
[0059] In an embodiment of the present disclosure, the classification module 124 may receive and process data from the smart fluid identification sensors 104 in order to accurately classify the type of liquid present in each chamber. In an embodiment of the present disclosure, upon receiving real-time inputs, the classification module 124 may evaluate the parameters and compares with known reference profiles of commonly used liquids such as, but not limited to, water, milk, coffee, tea, and juice.
[0060] In an embodiment of the present disclosure, the classification module 124 may use pattern recognition algorithms and threshold-based decision trees or neural networks to match the detected properties to a specific liquid category. In some embodiments, the classification module 124 may utilize supervised learning models such as k-nearest neighbours (KNN), support vector machines (SVM), or lightweight convolutional neural networks (CNNs).
[0061] The controller unit 108 may also include a plurality of machine learning algorithm 126 configured to adjust the heating/cooling cycle based on liquid type, external temperature, and user preference.
[0062] In an embodiment of the present disclosure, the plurality of machine learning algorithm 126 may adjust the heating/cooling cycle based on the type of liquid along with considering seasonal temperature variations, and other ambient conditions, as well as user preferences including customized temperature settings stored for repeated use. In an embodiment of the present disclosure, the plurality of machine learning algorithm 126 may track historical usage data, stored in a memory unit operably connected to the controller unit 108.
[0063] In an embodiment of the present disclosure, the plurality of machine learning algorithm 126 may serve as an intelligent decision-making core, delivering precise temperature control tailored to both safety and taste considerations. In an embodiment of the present disclosure, the plurality of machine learning algorithm 126 may utilize, but not limited to, Support Vector Machines (SVM), K-Nearest Neighbours (KNN), Linear Regression or Polynomial Regression models, Gradient Boosting Machines (GBM), Reinforcement Learning (RL) algorithms, and Lightweight Neural Networks or Convolutional Neural Networks (CNNs). The plurality of machine learning algorithm 126 may deliver precise, responsive, and user-adaptive thermal management.
[0064] The intelligent temperature optimization module 110 may be executed by the controller unit 108 and the intelligent temperature optimization module 110 configured to optimize temperature level based on the detected liquid.
[0065] The intelligent temperature optimization module 110 may include a pre-trained artificial intelligence (AI) model configured to determine the required temperature for heating or cooling based on the detected liquid.
[0066] In an embodiment of the present disclosure, the intelligent temperature optimization module 110 may enable precise thermal management by tailoring the heating or cooling operation according to the specific properties of the detected liquid. The pre-trained artificial intelligence (AI) model, which has been trained using a comprehensive dataset comprising different liquid types such as, but not limited to milk, tea, coffee, juice, baby food, and water and their corresponding optimal storage, serving, or preparation temperatures.
[0067] In an exemplary embodiment, if milk is detected by the classification module 124 and the user preference profile indicates mild heating, the kettle device 100 may target a gentle 37–40°C range. The pre-trained artificial intelligence (AI) model be built using techniques such as decision trees, support vector regression, or neural networks trained with historical usage data, and safety standards.
[0068] In some embodiments, the pre-trained artificial intelligence (AI) model may employ supervised learning techniques, such as regression models or support vector machines (SVMs), to predict ideal temperature settings and durations. In some embodiments, the pre-trained artificial intelligence (AI) model may employ reinforcement learning or online learning models to continuously refine and personalize thermal behaviour based on user interactions over time. In an exemplary embodiment instance, if the user consistently overrides the default heating temperature for tea, the intelligent temperature optimization module 110 may adapt and automatically adjust future operations to match the user preference.
[0069] The mobile application 112 may be operably connected to the controller unit 108 and the mobile application 112 configured to provide remote monitoring and control capabilities to a user.
[0070] The mobile application 112 may be connected to the controller unit 108 via a communication module 114.
[0071] In an embodiment of present disclosure, the mobile application 112 may be hosted on any suitable electronic device such as, but not limited to, mobile phone, tablet, laptop, personal computer, and/or any smart wearable. In an embodiment of present disclosure, the mobile application 112 may be designed for compatibility with both Android and iOS platforms, offering real-time access to operational parameters such as current liquid temperature, liquid type detected, selected heating/cooling mode, and estimated time to completion. In an embodiment of present disclosure, the mobile application 112 may allow the users to configure personalized temperature and time settings for specific liquids or trigger manual overrides of AI-suggested temperatures.
[0072] In an embodiment of present disclosure, the communication module 114 may be integrated into the controller unit 108 to support wireless protocols such as, but not limited to, Wi-Fi, Bluetooth, or LTE/5G. In an embodiment of present disclosure, the mobile application 112 may allow the users to view usage history, and track consumption patterns.
[0073] A user interface 116 may be connected to a dual-chamber body 102 for manual or automated operation of the kettle device 100.
[0074] In an embodiment of the present disclosure, the user interface 116 may be integrated directly onto the device in the form of a touch-sensitive control panel, capacitive buttons, or a digital display with interactive icons. In an embodiment of the present disclosure, the user interface 116 may allow the user to select liquid types, set desired temperature levels manually, start or stop heating and cooling cycles, and toggle between modes, provide status display, and more in real time.
[0075] The controller unit 108 may also include a notification generation module 128.
[0076] In an embodiment of the present disclosure, the notification generation module 128 may produce timely alerts and status messages based on real-time events. These alerts/notifications may include, but are not limited to, overheating alerts (liquid temperature exceeds safety thresholds), cycle completion notices (cooling or heating is done), chamber status warnings (lid not properly closed), low liquid detection, or system malfunction alerts.
[0077] The user interface 116 and the mobile application 112 may receive alerts for overheating, cooling completion, and safety notifications generated by the notification generation module 128.
[0078] In some embodiments, the user interface 116 may utilize visual (LED indicators, screen icons) and auditory cues (beeps or voice prompts), while the mobile application 112 may provide real-time push notifications, sound alerts, or vibration cues. This dual-notification mechanism enhances usability, safety, and responsiveness, especially during portable use scenarios such as travel, camping, or in-flight applications, where timely alerts are critical for avoiding spillage, overheating, or improper consumption temperatures. In an embodiment of the present disclosure, the mobile application 112 may also support push notifications for safety alerts such as, overheating, lid left open, or chamber leakage and more, when the heating or cooling cycle has been completed, as generated by the notification generation module 128.
[0079] FIG. 2 illustrates a flow diagram for an artificial intelligence (AI)-based method 200 for simultaneous heating and cooling different liquids, according to an embodiment of the present invention.
[0080] The method 200 may comprise the following steps.
[0081] At 202, detecting various properties of liquid contained in each of the two separate chambers of a dual-chamber body 102 using a plurality of smart fluid identification sensor 104.
[0082] At 204, analyzing the detected properties using a classification module 124.
[0083] At 206, determining the optimal temperature for each chamber of the dual-chamber body 102 based on the liquid type via an intelligent temperature optimization module 110 executed by a controller unit 108.
[0084] At 208, activating a peltier-based thermoelectric mechanism 106 to independently heat or cool the liquid in each chamber of the dual-chamber body 102 at the required temperature.
[0085] At 210, receiving user input or preferences via a mobile application 112 to modify or override the automated temperature settings.
[0086] At 212, issuing notification to a user regarding status events including heating completion, cooling completion, or unsafe conditions via the notification generation module 128.
[0087] In an exemplary embodiment, the method 200 may allow the user to heat milk in one chamber to 40°C for baby feeding, while simultaneously cooling water or another beverage in the adjacent chamber to 5°C for refreshing storage or later use. In an embodiment of the present disclosure, the method 200 may allow continuous adjustment of energy input to each component, allowing for power-efficient operation, especially in comparison to traditional resistive heating elements or compressor-based refrigeration systems. The intelligent power management not only ensures minimal energy wastage but also makes the kettle device suitable for use in travel scenarios, such as in trains, cars, and airplanes, where compactness and power conservation are critical.
[0088] In an embodiment of the present disclosure, the communication module 114 support internet of things (IoT)-based mobile integration through the mobile application 112. In an embodiment of the present disclosure, the mobile application 112 may provide an intuitive graphical interface, where users can initiate or halt heating and cooling processes, adjust or save custom temperature presets for different types of fluids, and monitor real-time temperature readings of the contents in each chamber of the dual chamber body 102.
[0089] The disclosed invention offers numerous advantages. One of the most significant advantages lies in automated and precise temperature control, made possible by the smart fluid identification sensors 104. Unlike conventional kettles that operate on fixed temperature settings, the disclosed invention intelligently identifies the type of liquid such as, milk, tea, coffee, baby food, or water, by analysing key properties such as viscosity, conductivity, and absorption spectrum. Once the fluid type is detected, the pre-trained AI model determine the ideal temperature for heating or cooling that specific liquid and eliminates the risks of overheating or undercooling, which can compromise taste, nutritional value, or safety.
[0090] The simultaneous heating and cooling capability of the disclosed invention overcomes the limitations of the traditional portable devices capable of either heating or cooling. The disclosed invention provides efficient operations, portability, low-power consumption, remote user access, and ease of use. The disclosed invention is ideal for use in transit on trains, airplanes, or road trips, where power availability and noise are often concerns. The disclosed invention is ideal and safe for new parents taking care of a baby. The disclosed invention also minimizes energy coast and the related environmental impact.
[0091] 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 spirit and scope of the appended claims.
[0092] 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 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:I/We Claim:
1. An artificial intelligence (AI)-powered smart portable kettle device (100), the kettle device (100) comprising:
a dual-chamber body (102) capable of containing at least two different liquids simultaneously;
a plurality of smart fluid identification sensor (104) integrated with the dual-chamber body (102), the smart fluid identification sensors (104) configured to detect liquid viscosity, conductivity, and absorption spectrum to classify the liquid accurately;
a peltier-based thermoelectric mechanism (106) operably connected to each chamber of the dual-chamber body (102), the peltier-based thermoelectric mechanism (106) configured to enable independent heating and cooling;
a controller unit (108) operably connected to the plurality of smart fluid identification sensor (104) and the peltier-based thermoelectric mechanism (106), the controller unit (108) configured to control operations for each chamber of the dual-chamber body (102);
an intelligent temperature optimization module (110) executed by the controller unit (108), the intelligent temperature optimization module (110) configured to optimize temperature level based on the detected liquid; and
a mobile application (112) operably connected to the controller unit (108), the mobile application (112) configured to provide remote monitoring and control capabilities to a user.
2. The kettle device (100) as claimed in claim 1, wherein the mobile application (112) is connected to the controller unit (108) via a communication module (114).
3. The kettle device (100) as claimed in claim 1, wherein a user interface (116) is connected to a dual-chamber body (102) for manual or automated operation of the kettle device (100).
4. The kettle device (100) as claimed in claim 1, wherein the smart fluid identification sensors (104) further include:
at least one optical sensor (118);
at least one dielectric property sensor (120); and
at least one infrared spectrometer (122).
5. The kettle device (100) as claimed in claim 4, wherein the smart fluid identification sensors (104) detect liquid viscosity, conductivity, and absorption spectrum.
6. The kettle device (100) as claimed in claim 1, wherein the controller unit (108) also includes:
a classification module (124) configured to classify the liquid accurately; and
a plurality of machine learning algorithm (126) configured to adjust the heating/cooling cycle based on liquid type, external temperature, and user preference.
7. The kettle device (100) as claimed in claim 1, wherein the controller unit (108) also includes a notification generation module (128).
8. The kettle device (100) as claimed in claim 7, wherein the user interface (116) and the mobile application (112) receives alerts for overheating, cooling completion, and safety notifications generated by the notification generation module (128).
9. The kettle device (100) as claimed in claim 1, wherein the intelligent temperature optimization module (110) includes a pre-trained artificial intelligence (AI) model (126) configured to determine the required temperature for heating or cooling based on the detected liquid.
10. An artificial intelligence (AI)-based method (200) for simultaneous heating and cooling different liquids, the method (200) comprising:
detecting various properties of liquid contained in each of the two separate chambers of a dual-chamber body (102) using a plurality of smart fluid identification sensor (104);
analyzing the detected properties using a classification module (124);
determining the optimal temperature for each chamber of the dual-chamber body (102) based on the liquid type via an intelligent temperature optimization module (110) executed by a controller unit (108);
activating a peltier-based thermoelectric mechanism (106) to independently heat or cool the liquid in each chamber of the dual-chamber body (102) at the required temperature;
receiving user input or preferences via a mobile application (112) to modify or override the automated temperature settings; and
issuing notification to a user regarding status events including heating completion, cooling completion, or unsafe conditions via the notification generation module (128).