Intelligent rice steaming control system and method based on multi-sensor fusion

Abstract

The invention discloses an intelligent rice steaming control system and method based on multi-sensor fusion, and relates to the technical field of intelligent kitchen appliances, a hardware layer comprises a main control module, the main control module comprises an ESP32 microcontroller, and the main control module is used for coordinated operation, execution of algorithm logic and data processing; the temperature detection module comprises a main NTC (Negative Temperature Coefficient) temperature sensor and a secondary NTC temperature sensor; according to the intelligent rice steaming control system and method based on multi-sensor fusion, by arranging the system and integrating the functions of dual-NTC temperature detection, water flow and water level dual-mode monitoring, rice and water draining monitoring, a multi-mode cooking algorithm, intelligent fault diagnosis and the like, the cooking precision is remarkably improved, and the cooking efficiency is improved. According to the intelligent rice steaming equipment, the temperature is controlled to be + / -1 DEG C, dual-redundancy dry burning detection and real-time early warning are achieved, Web remote monitoring and OTA upgrading are achieved, accurate water quantity control and an intelligent heating algorithm are achieved, meanwhile, user experience is improved, and the technical defects of traditional rice steaming equipment are comprehensively overcome.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent kitchen appliances, in particular to an intelligent rice steaming control system and method based on multi-sensor fusion. BACKGROUND

[0002] An electric rice cooker is a kitchen appliance that uses electric energy to heat and automatically cooks rice. It uniformly heats the inner container through a heating disc or IH electromagnetic technology, and cooperates with a temperature control system to complete rice cooking and heat preservation, and can also extend functions such as steaming, stewing, and porridge cooking. There are various types of electric rice cookers, which are divided into bottom disc heating and IH heating according to the heating method, and divided into ordinary and intelligent multi-purpose according to the function.

[0003] The traditional electric rice cooker and rice steamer have the following technical defects: insufficient temperature control precision: the traditional rice steamer uses a simple temperature control switch, which cannot accurately control the cooking temperature, affecting the consistency of rice taste and even steaming undercooked rice; dry burning safety hazard: the existing equipment uses a magnetic steel temperature controller to prevent dry burning, lacks an effective dry burning detection mechanism, and has a fire safety hazard of disconnecting when overheating and reconnecting after cooling; no automatic measurement of water quantity: the water injection process lacks accurate measurement, which can easily cause excessive or insufficient water quantity, thereby affecting the effect of rice cooking and steaming and the quality of rice; no detection of rice draining: the automatic rice draining process has no state detection, which can easily cause drainage problems and make the rice soft or steamed into porridge; incomplete fault detection: lack of comprehensive system self-checking and fault warning mechanism; low degree of intelligence: unable to automatically adjust the cooking parameters according to different types of rice; no information feedback on whether the rice cooking and steaming is started normally, whether water is added, etc. Although rice and water have been added, there is no warning when the start switch malfunctions, which can cause the rice to be cooked or steamed abnormally, especially when the heater fails, the rice cooking and steaming process is still executed, and the final result is that the rice cooking and steaming fails without knowing the state. SUMMARY

[0004] The purpose of the present application is to provide an intelligent rice steaming control system and method based on multi-sensor fusion to solve the problems raised in the background.

[0005] To achieve the above purpose, the present application provides the following technical scheme: an intelligent rice steaming control system based on multi-sensor fusion, the control system comprising a hardware layer and a software layer: the hardware layer comprises: A main control module comprising an ESP32 microcontroller, the main control module being used for coordinating operation, executing algorithm logic and data processing; A temperature detection module comprising a main NTC temperature sensor and a secondary NTC temperature sensor, the main NTC temperature sensor being used for water temperature detection, and the secondary NTC temperature sensor being used for dry burning detection; The water flow detection module includes a water flow sensor and a water level sensor. The water flow sensor is used to measure the water injection volume in real time and dynamically adjust the water addition volume, while the water level sensor is used to assist in water temperature detection. The heating control module includes a main heater 2360W and a side heater 300W. The main heater 2360W is used to quickly heat up to the target temperature, and the side heater 300W is used to assist the main heater 2360W in three-dimensional heating to ensure uniform heating. The actuator module includes an inlet valve, a drain valve, and a circulating water pump. The inlet valve automatically injects water according to the water level detection module. The drain valve automatically drains water during the dredging stage. The circulating water pump is used to promote water circulation. The human-computer interaction module includes an OLED display screen, physical buttons, and a buzzer. The OLED display screen shows the cooking status, module selection, and fault information in real time. The physical buttons are used to manually select the cooking module and start or pause the operation. The buzzer is used for fault alarms and cooking completion prompts. The communication module includes a WiFi network, a web server, and OTA upgrades. The WiFi network supports dual modes of STA client and AP hotspot to enable remote monitoring. The web server provides a responsive web control interface that supports access from multiple devices. The OTA upgrade is used to remotely update fasteners, fix vulnerabilities, or add functionality. The physical quantity monitoring of the drain valve includes monitoring of the 90° angle position of the electromechanical ball valve switch and MCU sensing feedback judgment, while also taking into account the normal operation of time simulation temperature mode; The software layer includes: The multi-mode cooking algorithm module provides 20 preheating cooking modes to adapt to different rice types and taste preferences. The multi-mode cooking algorithm module provides independent temperature-time control parameters to dynamically adjust heating power and water injection strategy. The intelligent fault diagnosis module automatically detects the hardware layer when it is activated, and monitors the status, provides fault warnings, and handles faults in real time. The real-time status monitoring module is used to display temperature, water level and flow rate in real time, and to generate code from the detection results of the intelligent fault diagnosis module and upload it to the Web terminal. A remote web control module, which remotely controls the hardware layer through a browser or APP and records historical data and energy consumption statistics; The drainage control module receives drainage status information from the drainage monitoring and feedback unit, and determines whether the drainage is complete according to the preset drainage completion standard. If it is not complete, it controls the drainage valve to continue draining until the drainage is completely drained.

[0006] Preferably, the software layer further includes a PID (integral) temperature simulation rice cooking mode module. The PID (integral) temperature simulation rice cooking mode module derives the optimal temperature curve of the rice cooking process using a precise algorithm. In the event of temperature sensor failure, it simulates a suitable temperature control curve based on a preset PID (integral) algorithm and controls the heating control module to heat according to the simulated temperature curve to complete the rice cooking process.

[0007] Preferably, the ESP32 microcontroller receives data from the main NTC temperature sensor and the secondary NTC temperature sensor, adjusts the heating strategy according to the water temperature, triggers safety protection based on the dry burning detection result, and acquires data from the water flow sensor and the water level sensor to dynamically adjust the water injection volume to ensure that the water level is within a safe range.

[0008] Preferably, the ESP32 microcontroller controls the switching and power adjustment of the main heater 2360W and the side heater 300W according to the cooking mode and temperature data.

[0009] Preferably, the ESP32 microcontroller controls the inlet valve to inject water based on the water level detection result, controls the drain valve to drain water during the rinsing stage, and promotes uniform heating of water circulation through the circulating water pump.

[0010] Preferably, the ESP32 microcontroller drives the OLED display to show the cooking status, responds to physical button operations, and controls the buzzer to sound an alarm based on data uploaded by the intelligent fault diagnosis module.

[0011] Preferably, the ESP32 microcontroller manages the WiFi network connection and communicates with the web server.

[0012] A method for using an intelligent rice steaming control system based on multi-sensor fusion includes the following steps: S1: After initialization, a hardware self-test is performed. The hardware layer is tested through the intelligent fault diagnosis module. The main control module initializes the WiFi network connection, connects to the Internet or local network through the STA client or AP hotspot, loads the preheating cooking parameters, and calibrates the loaded cooking parameters. S2: Select either a water flow sensor or a water level sensor to detect the water level according to actual needs. The water flow sensor is used by default. Set the amount of water required for cooking. The default water volume is 12L. Select the appropriate cooking mode from 20 preset cooking modes according to actual needs. S3: Based on the selected cooking mode and water level detection results, when there is too much water or during the rice draining stage, the water level is controlled through the drain valve to precisely control the amount of water injected. The main NTC sensor detects the water temperature, and the secondary NTC sensor detects insufficient water to ensure that the cooking temperature is within the target range. The main heater 2360W is used for rapid heating, and the side heater 300W assists the main heating 2360W for three-dimensional heating. S4: The cooking temperature is continuously monitored through the real-time monitoring module. The NTC sensor is used to detect burn-out. Once the threshold is triggered, the heating is notified and the buzzer is triggered to sound an alarm. S5: After cooking is complete, the system will issue a completion prompt and alarm sound through the OLED display and buzzer to remind the user to pick up the food in time. It will also automatically clean the internal pipes and containers through the circulating water pump and drain valve, and automatically record data for each cooking session, including cooking time, temperature curve and water consumption.

[0013] Preferably, the steps also include: users can access the system's web control interface through terminal devices to remotely monitor and control the cooking process.

[0014] Preferably, it supports OTA remote firmware upgrades to ensure continuous access to the latest feature improvements and performance optimizations.

[0015] Compared with the prior art, the beneficial effects of the present invention are: This invention significantly improves cooking accuracy by integrating dual NTC temperature detection, dual-mode monitoring of water flow and water level, multi-mode cooking algorithms, and intelligent fault diagnosis. It features temperature control within ±1°C, dual-redundant dry-burn detection and real-time early warning, Web remote monitoring and OTA upgrades, and precise water volume control and intelligent heating algorithms. At the same time, it improves the user experience and comprehensively solves the technical defects of traditional rice steaming equipment. Attached Figure Description

[0016] Figure 1 This is a block diagram of the control system architecture in this invention; Figure 2 This is a flowchart of the control system operation in this invention; Figure 3 This is a schematic diagram of the multi-sensor fusion detection principle in this invention; Figure 4 This is a diagram of the management homepage interface in this invention; Figure 5 This is a diagram of the system status interface in this invention; Figure 6 This is a diagram of the mode selection and switching interface in this invention; Figure 7 This is a diagram of the WiFi configuration interface in this invention; Figure 8This is the OTA upgrade interface in this invention; Figure 9 This is a flowchart of the fault diagnosis and processing in this invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Example: Please refer to Figures 1 to 9 This invention provides a technical solution: an intelligent rice steaming control system based on multi-sensor fusion, the control system comprising a hardware layer and a software layer: the hardware layer includes: The main control module includes an ESP32 microcontroller, which is used to coordinate operation, execute algorithm logic, and process data. The temperature detection module includes a main NTC temperature sensor and a secondary NTC temperature sensor. The main NTC temperature sensor is used for water temperature detection, and the secondary NTC temperature sensor is used for dry burning detection. The water flow detection module includes a water flow sensor and a water level sensor. The water flow sensor is used to measure the water injection volume in real time and dynamically adjust the water supply, while the water level sensor is used to assist in water temperature detection. The heating control module includes a main heater of 2360W and a side heater of 300W. The main heater of 2360W is used to quickly heat up to the target temperature, and the side heater of 300W is used to assist the main heater of 2360W in three-dimensional heating to ensure uniform heating. The actuator module includes an inlet valve, a drain valve, and a circulating water pump. The inlet valve automatically fills the water according to the water level detection module, the drain valve automatically drains the water during the slurry stage, and the circulating water pump promotes water circulation. The human-computer interaction module includes an OLED display, physical buttons, and a buzzer. The OLED display shows the cooking status, module selection, and fault information in real time. The physical buttons are used to manually select the cooking module and start or pause the operation. The buzzer is used for fault alarms and cooking completion prompts. The communication module includes a WiFi network, a web server, and OTA upgrades. The WiFi network supports dual modes of STA client and AP hotspot to enable remote monitoring. The web server provides a responsive web control interface that supports access from multiple devices. OTA upgrades are used to remotely update fixtures, fix vulnerabilities, or add functionality. The physical quantity monitoring of the drain valve includes monitoring of the 90° angle position of the electromechanical ball valve switch and MCU sensing feedback judgment, while also taking into account the normal operation of time simulation temperature mode; The software layer includes: The multi-mode cooking algorithm module provides 20 preheating cooking modes to suit different rice types and taste preferences. It also provides independent temperature-time control parameters to dynamically adjust heating power and water injection strategy. The intelligent fault diagnosis module automatically detects the hardware layer when it is activated, and monitors the status, provides fault warnings, and handles faults in real time. The real-time status monitoring module is used to display temperature, water level and flow rate in real time, and generates code from the detection results of the intelligent fault diagnosis module and uploads it to the Web terminal. The remote web control module allows for remote control of the hardware layer via a browser or app, and records historical data and energy consumption statistics. The drainage control module receives drainage status information from the drainage monitoring and feedback unit. Based on the preset drainage completion standard, it determines whether the drainage is complete. If not, it controls the drainage valve to continue draining until the drainage is completely dry.

[0019] The software layer also includes a PID (integral) temperature simulation rice cooking mode module. This module uses a precise algorithm to derive the optimal temperature curve for the rice cooking process. In the event of a temperature sensor failure, it simulates a suitable temperature control curve based on a preset PID (integral) algorithm, and controls the heating control module to heat the rice according to the simulated temperature curve to complete the rice cooking process.

[0020] The ESP32 microcontroller receives data from the main NTC temperature sensor and the secondary NTC temperature sensor, adjusts the heating strategy according to the water temperature, triggers safety protection based on the dry burning detection result, and obtains data from the water flow sensor and water level sensor to dynamically adjust the water injection volume to ensure that the water level is within a safe range.

[0021] The ESP32 microcontroller controls the switching and power adjustment of the main heater (2360W) and the side heater (300W) based on the cooking mode and temperature data.

[0022] The ESP32 microcontroller controls the inlet valve to inject water based on the water level detection results, controls the drain valve to drain water during the rinsing stage, and promotes water circulation and uniform heating through the circulating water pump.

[0023] The ESP32 microcontroller drives the OLED display to show the cooking status and responds to physical button operations. It also controls the buzzer to sound an alarm based on data uploaded by the intelligent fault diagnosis module.

[0024] The ESP32 microcontroller manages WiFi network connections and communicates with the web server.

[0025] The specific implementation method of this embodiment is as follows: Hardware layer: Main control module: Uses an ESP32 microcontroller, responsible for coordinating operation, executing algorithm logic, and data processing; Temperature detection module: Main NTC temperature sensor: Real-time water temperature detection for dynamic adjustment of heating strategy; Secondary NTC temperature sensor: detects the temperature at the bottom of the heater and triggers the dry-burn protection mechanism; Operating code for the main NTC temperature sensor and the secondary NTC temperature sensor (NTC1): cpp / / Main NTC water temperature detection and secondary NTC dry burning detection run in parallel float readTemperature(); / / Main temperature detection float readNTC1Temperature(); / / Dry burn detection void handleDryBurn(); / / Traditional dry-burning treatment void handleNTC1DryBurn(); / / NTC1 dry burning handling Water flow detection module: Water flow sensor: measures water injection volume in real time and dynamically adjusts water supply. Water level sensor: assists in detecting water level to prevent overflow or water shortage; Water flow detection module running code: cpp / / Dual-mode switching between water flow sensor and water level sensor bool waterLevelSensorEnabled = false; / / Fixed to disable bool waterFlowSensorEnabled = true; / / Enable water flow sensor void calculateFlowRate(); / / Real-time flow calculation void detectWaterShortage(); / / Water shortage detection Heating control module: Main heater (2360W): rapidly heats up to the target temperature; Side heater (300W): Auxiliary three-dimensional heating to ensure uniform heating; Execution mechanism module: Inlet valve: Automatically fills water based on water level detection results; Drain valve: Automatic drainage during the rice draining stage; Circulating water pump: promotes water circulation and ensures even heating; Human-computer interaction module: OLED display: Real-time display of cooking status, mode selection, and fault information; Physical buttons: Manually select cooking mode, start or pause operation; Buzzer: Used for fault alarms and cooking completion notifications; Communication module: WiFi network: Supports both STA client and AP hotspot modes for remote monitoring; Web server: Provides a responsive web control interface and supports access from multiple devices; OTA upgrade: Remotely update firmware to fix vulnerabilities or add features; Web service code: cpp void initWiFi(); / / Supports both WiFi connection and AP mode void initWebServer(); / / Web control interface void handleRoot(); / / Responsive web interface.

[0026] Software layer: Multi-mode cooking algorithm module: It offers 20 preset cooking modes to suit different types of rice and taste preferences; Independent temperature-time control parameters allow for dynamic adjustment of heating power and water injection strategy; Multi-mode cooking algorithm module parameter code: cpp struct ProgramParams { uint8_t programIndex; const char *programName; float targetTemperature; unsigned long ntcDisabledTime; / / Rice soaking stage parameters unsigned long soakPumpRun1; unsigned long soakPumpPause1; / / Rice Steaming Stage Parameters - Complete 9-Step Control unsigned long steamRun1; unsigned long steamPause1; / / ... More parameters }; Intelligent fault diagnosis module: Automatically detects the hardware layer, monitors its status, provides fault warnings and handling in real time; Intelligent fault diagnosis execution code: pp bool hardwareSelfTest(); / / Hardware self-test void checkSystemHealth(); / / System health check void handleTempFault(); / / Temperature fault handling void checkDrainValveStatus(); / / Drain valve status monitoring Communication Management: The ESP32 manages WiFi connections, communicates with web servers, and supports OTA upgrades.

[0027] A method for using an intelligent rice steaming control system based on multi-sensor fusion includes the following steps: S1: After initialization, a hardware self-test is performed. The hardware layer is tested through the intelligent fault diagnosis module. The main control module initializes the WiFi network connection, connects to the Internet or local network through the STA client or AP hotspot, loads the preheating cooking parameters, and calibrates the loaded cooking parameters. S2: Select either a water flow sensor or a water level sensor to detect the water level according to actual needs. The water flow sensor is used by default. Set the amount of water required for cooking. The default water volume is 12L. Select the appropriate cooking mode from 20 preset cooking modes according to actual needs. S3: Based on the selected cooking mode and water level detection results, when there is too much water or during the rice draining stage, the water level is controlled through the drain valve to precisely control the amount of water injected. The main NTC sensor detects the water temperature, and the secondary NTC sensor detects insufficient water to ensure that the cooking temperature is within the target range. The main heater 2360W is used for rapid heating, and the side heater 300W assists the main heating 2360W for three-dimensional heating. S4: The cooking temperature is continuously monitored through the real-time monitoring module. The NTC sensor is used to detect burn-out. Once the threshold is triggered, the heating is notified and the buzzer is triggered to sound an alarm. S5: After cooking is complete, the system will issue a completion prompt and alarm sound through the OLED display and buzzer to remind the user to pick up the food in time. It will also automatically clean the internal pipes and containers through the circulating water pump and drain valve, and automatically record the data of each cooking session, including cooking time, temperature curve and water consumption. The steps also include: users can access the system's web control interface through terminal devices to remotely monitor and control the cooking process; It supports OTA remote firmware upgrades to ensure continuous access to the latest feature improvements and performance optimizations.

[0028] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0029] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A smart rice steaming control system based on multi-sensor fusion, characterized in that: The control system includes a hardware layer and a software layer: the hardware layer includes: The main control module includes an ESP32 microcontroller, which is used to coordinate operation, execute algorithm logic, and process data. A temperature detection module, comprising a main NTC temperature sensor and a secondary NTC temperature sensor, wherein the main NTC temperature sensor is used for water temperature detection and the secondary NTC temperature sensor is used for dry burning detection; The water flow detection module includes a water flow sensor and a water level sensor. The water flow sensor is used to measure the water injection volume in real time and dynamically adjust the water addition volume, while the water level sensor is used to assist in water temperature detection. The heating control module includes a main heater 2360W and a side heater 300W. The main heater 2360W is used to quickly heat up to the target temperature, and the side heater 300W is used to assist the main heater 2360W in three-dimensional heating to ensure uniform heating. The actuator module includes an inlet valve, a drain valve, and a circulating water pump. The inlet valve automatically injects water according to the water level detection module. The drain valve automatically drains water during the dredging stage. The circulating water pump is used to promote water circulation. The human-computer interaction module includes an OLED display screen, physical buttons, and a buzzer. The OLED display screen shows the cooking status, module selection, and fault information in real time. The physical buttons are used to manually select the cooking module and start or pause the operation. The buzzer is used for fault alarms and cooking completion prompts. The communication module includes a WiFi network, a web server, and OTA upgrades. The WiFi network supports dual modes of STA client and AP hotspot to enable remote monitoring. The web server provides a responsive web control interface that supports access from multiple devices. The OTA upgrade is used to remotely update fasteners, fix vulnerabilities, or add functionality. The physical quantity monitoring of the drain valve includes monitoring of the 90° angle position of the electromechanical ball valve switch and MCU sensing feedback judgment, while also taking into account the normal operation of time simulation temperature mode; The software layer includes: The multi-mode cooking algorithm module provides 20 preheating cooking modes to adapt to different rice types and taste preferences. The multi-mode cooking algorithm module provides independent temperature-time control parameters to dynamically adjust heating power and water injection strategy. The intelligent fault diagnosis module automatically detects the hardware layer when it is activated, and monitors the status, provides fault warnings, and handles faults in real time. The real-time status monitoring module is used to display temperature, water level and flow rate in real time, and to generate code from the detection results of the intelligent fault diagnosis module and upload it to the Web terminal. A remote web control module, which remotely controls the hardware layer through a browser or APP and records historical data and energy consumption statistics; The drainage control module receives drainage status information from the drainage monitoring and feedback unit, and determines whether the drainage is complete according to the preset drainage completion standard. If it is not complete, it controls the drainage valve to continue draining until the drainage is completely drained.

2. The intelligent rice steaming control system based on multi-sensor fusion according to claim 1, characterized in that: The software layer also includes a PID (integral) temperature simulation rice cooking mode module. The PID (integral) temperature simulation rice cooking mode module derives the optimal temperature curve of the rice cooking process using a precise algorithm. In the event of temperature sensor failure, it simulates a suitable temperature control curve based on a preset PID (integral) algorithm and controls the heating control module to heat according to the simulated temperature curve to complete the rice cooking process.

3. The intelligent rice steaming control system based on multi-sensor fusion according to claim 1, characterized in that: The ESP32 microcontroller receives data from the main NTC temperature sensor and the secondary NTC temperature sensor, adjusts the heating strategy according to the water temperature, and triggers safety protection based on the dry burning detection result. The ESP32 microcontroller also acquires data from the water flow sensor and the water level sensor to dynamically adjust the water injection volume and ensure that the water level is within a safe range.

4. The intelligent rice steaming control system based on multi-sensor fusion according to claim 1, characterized in that: The ESP32 microcontroller controls the switching and power adjustment of the main heater (2360W) and the side heater (300W) based on the cooking mode and temperature data.

5. The intelligent rice steaming control system based on multi-sensor fusion according to claim 1, characterized in that: The ESP32 microcontroller controls the inlet valve to inject water based on the water level detection result, controls the drain valve to drain water during the rinsing stage, and promotes water circulation and uniform heating through the circulating water pump.

6. The intelligent rice steaming control system based on multi-sensor fusion according to claim 1, characterized in that: The ESP32 microcontroller drives the OLED display to show the cooking status, responds to physical button operations, and controls the buzzer to sound an alarm based on data uploaded by the intelligent fault diagnosis module.

7. The intelligent rice steaming control system based on multi-sensor fusion according to claim 1, characterized in that: The ESP32 microcontroller manages WiFi network connections and communicates with the web server.

8. A method for using an intelligent rice steaming control system based on multi-sensor fusion, characterized in that: Includes the following steps: S1: After initialization, a hardware self-test is performed. The hardware layer is tested through the intelligent fault diagnosis module. The main control module initializes the WiFi network connection, connects to the Internet or local network through the STA client or AP hotspot, loads the preheating cooking parameters, and calibrates the loaded cooking parameters. S2: Select either a water flow sensor or a water level sensor to detect the water level according to actual needs. The water flow sensor is used by default. Set the amount of water required for cooking. The default water volume is 12L. Select the appropriate cooking mode from 20 preset cooking modes according to actual needs. S3: Based on the selected cooking mode and water level detection results, when there is too much water or during the rice draining stage, the water level is controlled through the drain valve to precisely control the amount of water injected. The main NTC sensor detects the water temperature, and the secondary NTC sensor detects insufficient water to ensure that the cooking temperature is within the target range. The main heater 2360W is used for rapid heating, and the side heater 300W assists the main heating 2360W for three-dimensional heating. S4: The cooking temperature is continuously monitored through the real-time monitoring module. The NTC sensor is used to detect burn-out. Once the threshold is triggered, the heating is notified and the buzzer is triggered to sound an alarm. S5: After cooking is complete, the system will issue a completion prompt and alarm sound through the OLED display and buzzer to remind the user to pick up the food in time. It will also automatically clean the internal pipes and containers through the circulating water pump and drain valve, and automatically record data for each cooking session, including cooking time, temperature curve and water consumption.

9. The method of using the intelligent rice steaming control system based on multi-sensor fusion according to claim 8, characterized in that: The steps also include: users can access the system's web control interface through terminal devices to remotely monitor and control the cooking process.

10. The method of using the intelligent rice steaming control system based on multi-sensor fusion according to claim 8, characterized in that: It supports OTA remote firmware upgrades to ensure continuous access to the latest feature improvements and performance optimizations.

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