Temperature control system and temperature control method for intelligent pot

Abstract

The invention relates to the technical field of intelligent pots, and particularly discloses a temperature control system and method for an intelligent pot, and the system comprises a temperature collection module which comprises a temperature sensor and a signal conditioning circuit, and the signal conditioning circuit comprises an instrument amplifier and a low-pass filter which are electrically connected in sequence, the output end of the temperature sensor is electrically connected with the input end of the instrument amplifier; the signal input end of the core control unit is electrically connected with the output end of the low-pass filter; the power adjusting module comprises a PWM generating circuit and a power driving circuit, the control end of the PWM generating circuit is electrically connected with the PWM output end of the core control unit, and the input end of the power driving circuit is electrically connected with the output end of the PWM generating circuit; the self-adaptive power management unit comprises a DC-DC conversion circuit, and the DC-DC conversion circuit is electrically connected with the temperature acquisition module, the core control unit and the power regulation module; the problems that a temperature control system of an intelligent pot is unstable in structure, inaccurate in temperature measurement and weak in anti-interference capacity are solved.

Description

Technical Field

[0001] This invention relates to the field of smart cookware technology, and specifically to a temperature control system and method for smart cookware. Background Technology

[0002] Current smart pot temperature control systems generally use basic PID algorithms to adjust heating power, but this reveals significant shortcomings in complex cooking scenarios. On the one hand, temperature acquisition is susceptible to electromagnetic interference in the kitchen, and traditional low-pass filters with fixed cutoff frequencies are unable to dynamically suppress noise, leading to increased infrared temperature measurement errors. On the other hand, power fluctuations (such as voltage surges and undervoltage) and switching noise from power devices can interfere with the operation of the core control unit. Especially when the system integrates wireless communication functions, insufficient electromagnetic compatibility can easily cause communication interruptions or control failures.

[0003] At the control strategy level, existing technologies lack multi-dimensional adaptive capabilities. Fixed-parameter PID algorithms struggle to adapt to the thermal characteristics of different ingredients, and the power drive stage lacks real-time current feedback correction, making it prone to overshoot due to sudden load changes. Furthermore, traditional power management units only provide basic voltage conversion and cannot dynamically adjust the output or quickly trigger protection mechanisms based on operating conditions, posing safety hazards.

[0004] Communication reliability is also a challenge in the industry. Standard wireless modules are insufficient in data verification and resistance to channel interference, which can easily lead to temperature data synchronization delays or loss of control commands, affecting the precise coordination of the cooking process. Therefore, there is an urgent need for a systematic solution that integrates high-precision data acquisition, adaptive power management, dynamic PID control, and strong anti-interference communication. Summary of the Invention

[0005] To overcome the aforementioned technical problems in the prior art, this invention provides a temperature control system and method for a smart pot. The core control unit generates a PWM control signal based on the temperature deviation value, and the power adjustment module controls the output power, making the temperature control of the smart pot more stable. This achieves a temperature control system that integrates high-precision data acquisition, adaptive power management, and dynamic PID control.

[0006] To achieve the above objectives, embodiments of the present invention provide a temperature control system for a smart pot, comprising: a temperature acquisition module, including a temperature sensor and a signal conditioning circuit, the signal conditioning circuit including an instrumentation amplifier and a low-pass filter connected in sequence, the output terminal of the temperature sensor being electrically connected to the input terminal of the instrumentation amplifier; a core control unit, the signal input terminal of the core control unit being electrically connected to the output terminal of the low-pass filter; a power regulation module, including a PWM generation circuit, a power drive circuit, and a current sampling feedback circuit, the control terminal of the PWM generation circuit being electrically connected to the PWM output terminal of the core control unit, the input terminal of the power drive circuit being electrically connected to the output terminal of the PWM generation circuit, and the current sampling feedback circuit being electrically connected to the current feedback input terminal of the core control unit; and an adaptive power management unit, including a DC-DC conversion circuit and a power anomaly detection circuit, the output terminal of the DC-DC conversion circuit being electrically connected to the power input terminals of the temperature acquisition module, the core control unit, and the power regulation module, respectively, and the output terminal of the power anomaly detection circuit being electrically connected to the anomaly detection input terminal of the core control unit.

[0007] Preferably, the core control unit adopts a microprocessor with wireless communication function, and the radio frequency front-end of the core control unit is provided with a matching network. The matching network includes multiple parallel capacitor branches, and each capacitor branch is connected to the GPIO pin of the core control unit through a switching transistor.

[0008] Preferably, the temperature sensor is an infrared temperature sensor, and the low-pass filter is a second-order RC active filter.

[0009] Preferably, the power drive circuit includes a driver chip and a MOSFET, the input terminal of the driver chip is electrically connected to the output terminal of the PWM generation circuit, and the output terminal of the driver chip is electrically connected to the gate of the MOSFET.

[0010] Preferably, it also includes an EMC enhancement circuit, which includes a TVS diode and a signal isolation optocoupler, connected in series between the core control unit and the wireless communication module.

[0011] Accordingly, the present invention also provides a temperature control method for a smart pot, comprising the following steps: S1: Real-time temperature signal of the pot body is acquired by a temperature sensor, amplified by an instrumentation amplifier and filtered by a low-pass filter in a signal conditioning circuit, and then transmitted to the core control unit; S2: The core control unit receives the conditioned temperature signal, compares it with a preset temperature curve, and calculates the temperature deviation value; S3: The core control unit generates a PWM control signal based on the temperature deviation value and through a PID algorithm, controls the output power of the heating element through the power drive circuit of the power adjustment module, and corrects the power deviation in real time through a current sampling feedback circuit; S4: The adaptive power management unit dynamically switches the output voltage level according to the system operating conditions and monitors the power status, triggering a protection mechanism when an abnormality is detected; S5: The core control unit synchronizes temperature data and control commands with an external terminal through an anti-interference wireless communication module.

[0012] Preferably, in step S1, the cutoff frequency of the low-pass filter is dynamically switched via the GPIO pin of the core control unit to suppress electromagnetic interference in the kitchen environment.

[0013] Preferably, in step S3, the proportional coefficient, integral coefficient, and derivative coefficient of the PID algorithm can be remotely configured via an external terminal to adapt to the heating characteristics of different ingredients. The PID algorithm is calculated using formula (1): (1); Where u(t) is the PWM duty cycle adjustment, K_p is the proportional coefficient, K_i is the integral coefficient, K_d is the derivative coefficient, e(t) is the real-time temperature deviation, ∫e(τ)dτ is the deviation integral, and de(t) / dt is the deviation derivative. The PID algorithm uses formula (2) to achieve discretization, and formula (2) is: (2); Where u(n) is the PWM duty cycle of the nth sampling, e(n) is the temperature deviation of the nth sampling, e(n-1) is the temperature deviation of the (n-1)th sampling, and T is the sampling period.

[0014] Preferably, in step S4, when the power supply abnormality detection circuit detects an overvoltage, undervoltage, or surge in the input voltage, it triggers the core control unit to send a fault code to an external terminal via the wireless communication module.

[0015] Preferably, in step S5, the anti-interference wireless communication module adopts a CRC-16 checksum and frequency hopping mechanism, wherein the frequency hopping mechanism switches the communication channel every 10ms.

[0016] The present invention has at least the following technical effects through the technical solution provided by the present invention: The system utilizes a temperature sensor and signal conditioning circuitry to achieve fast response speeds for accurate temperature detection. A low-pass filter and EMC enhancement circuitry effectively suppress electromagnetic interference, improving the signal-to-noise ratio and significantly enhancing temperature control stability. Digital PWM control enables continuous power adjustment from 100W to 2000W, coupled with current feedback closed-loop control for even higher precision. The PID algorithm combined with current feedback closed-loop control reduces power deviation and can compensate for 10% fluctuations in the power grid, meeting the demands of precise cooking. Multi-level power management reduces standby power consumption, and a power anomaly detection function enhances electrical safety. It boasts good compatibility, supports wireless communication and external terminal integration, and can be integrated into various smart cookware, facilitating widespread application. Network compatibility and frequency hopping mechanisms reduce wireless communication error rates, supporting stable remote control and data synchronization. Attached Figure Description

[0017] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of a temperature control system for a smart pot provided in an embodiment of the present invention; Figure 2 This is a flowchart of a temperature control method for a smart pot provided in an embodiment of the present invention.

[0018] Icons: Adaptive power management unit 1000, DC-DC conversion circuit 1100, power anomaly detection circuit 1200, temperature acquisition module 2000, temperature sensor 2100, signal conditioning circuit 2200, instrumentation amplifier 2210, low-pass filter 2220, core control unit 3000, power regulation module 4000, PWM generation circuit 4100, power drive circuit 4200, current sampling feedback circuit 4300, EMC enhancement circuit 5000. Detailed Implementation

[0019] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the scope of the present invention.

[0020] In this invention, the terms "system" and "network" are used interchangeably. "Multiple" refers to two or more; therefore, in this invention, "multiple" can also be understood as "at least two." "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. Additionally, the character " / ", unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship. Furthermore, it should be understood that in the description of this invention, terms such as "first" and "second" are used only for descriptive purposes and should not be construed as indicating or implying relative importance or order.

[0021] Please see Figure 1 This invention provides a temperature control system for a smart pot, such as... Figure 1 As shown, the system includes a temperature acquisition module 2000, a core control unit 3000, a power regulation module 4000, and an adaptive power management unit 1000. These modules are interconnected via circuitry to work collaboratively. Specifically, the temperature acquisition module 2000 includes a temperature sensor 2100 and a signal conditioning circuit 2200. The temperature sensor 2100 is an infrared temperature sensor, model BM43THA-M16, used to acquire the real-time temperature of the pot body, with a measurement range of -20℃ to 300℃. The signal conditioning circuit 2200 is a high-precision signal conditioning circuit, comprising an instrumentation amplifier 2210 and an instrumentation amplifier 2210 connected in sequence. The low-pass filter 2220, wherein the instrumentation amplifier 2210 can be an AD8232 instrumentation amplifier, and the low-pass filter 2220 is a second-order RC active low-pass filter. The output terminal of the temperature sensor 2100 is electrically connected to the input terminal of the instrumentation amplifier 2210. The instrumentation amplifier 2210 is used to amplify the weak signal output by the temperature sensor 2100. The amplification factor can be adjusted through the I2C interface of the core control unit 3000. The low-pass filter 2220 switches the cutoff frequency (the cutoff frequency can be selected as 10Hz / 50Hz / 100Hz) through the GPIO pin of the core control unit 3000 to suppress high-frequency electromagnetic interference in the kitchen, thereby improving the signal-to-noise ratio.

[0022] Furthermore, the core control unit 3000 is an RTL8772GWF chip, employing a microprocessor with wireless communication capabilities. It has a built-in Real-M300V MCU core. The core control unit 3000 is electrically connected to the temperature acquisition module 2000, receiving and processing the conditioned temperature signal. The signal input terminal of the core control unit 3000 is electrically connected to the output terminal of the low-pass filter 2220. The RF front-end of the core control unit 3000 is equipped with a matching network, which includes multiple parallel capacitor branches. Each capacitor branch is connected to the GPIO pin of the core control unit 3000 through a switching transistor. The matching network also supports Mesh BLE wireless communication. The core control unit 3000 also supports outputting PWM control signals to the power regulation module 4000 to achieve closed-loop control.

[0023] Furthermore, the power regulation module 4000 includes a PWM generation circuit 4100 and a power drive circuit 4200. The control terminal of the PWM generation circuit 4100 is electrically connected to the PWM output terminal of the core control unit 3000 so that the PWM generation circuit 4100 can receive the PWM signal output by the core control unit 3000. The input terminal of the power drive circuit 4200 is electrically connected to the output terminal of the PWM generation circuit 4100. The adaptive power management unit 1000 includes a DC-DC conversion circuit 1100. The DC-DC conversion circuit 1100 uses an ETA1061V33S2G chip and switches the output voltage to 3.3V (core module), 5V (sensor and drive circuit), and 12V (display module) through the SPI interface of the core control unit 3000. It automatically shuts off the power supply to unnecessary modules during standby.

[0024] In one embodiment, the power regulation module 4000 further includes a current sampling feedback circuit 4300, which is electrically connected to the current feedback input terminal of the core control unit 3000. The current sampling feedback circuit 4300 monitors the heating current in real time through a series precision shunt resistor and a differential amplifier, and transmits the feedback signal to the core control unit 3000. The adaptive power management unit 1000 includes a power abnormality detection circuit 1200, whose output terminal is electrically connected to the abnormality detection input terminal of the core control unit 3000. The power abnormality detection circuit 1200 consists of an LM393 voltage comparator and a precision voltage divider resistor network. It monitors the input voltage (after rectification of AC 220V). When overvoltage (e.g., when the voltage is ≥264V), undervoltage (≤187V), or surge (≥300V / 10μs) is detected, it sends an abnormal signal to the core control unit 3000 to trigger the heating circuit cut-off protection.

[0025] In this embodiment of the invention, the power drive circuit 4200 includes a drive chip and a MOSFET. The input terminal of the drive chip is electrically connected to the output terminal of the PWM generation circuit 4100, and the output terminal of the drive chip is electrically connected to the gate of the MOSFET. The PWM signal is converted into a drive signal for the heating element (such as a heating tube and an IH coil) to achieve continuously adjustable power from 100W to 2000W.

[0026] In this embodiment of the invention, an EMC enhancement circuit 5000 is also included. The EMC enhancement circuit 5000 includes a TVS diode and a signal isolation optocoupler, which are connected in series between the core control unit 3000 and the wireless communication module to improve the system's electromagnetic interference resistance.

[0027] Please see Figure 2 This invention provides a temperature control method for a smart pot, applied to the temperature control system for a smart pot provided in this embodiment, and includes the following steps: S1: The real-time temperature signal of the pot body is collected by the temperature sensor, amplified by the instrumentation amplifier and filtered by the low-pass filter of the signal conditioning circuit, and then transmitted to the core control unit. S2: The core control unit receives the conditioned temperature signal, compares it with the preset temperature curve, and calculates the temperature deviation value; S3: The core control unit generates a PWM control signal based on the temperature deviation value and through a PID algorithm. The signal is then used by the power drive circuit of the power regulation module to control the output power of the heating element and corrects the power deviation in real time through a current sampling feedback circuit. S4: The adaptive power management unit dynamically switches the output voltage level according to the system operating conditions and monitors the power status. When an abnormality is detected, the protection mechanism is triggered. S5: The core control unit synchronizes temperature data and control commands with an external terminal via a wireless communication module.

[0028] In this embodiment of the invention, step S1 performs temperature acquisition and conditioning. The real-time temperature signal of the pot body is acquired by a temperature sensor (such as an infrared sensor), and then amplified by an instrumentation amplifier in the signal conditioning circuit. The amplification factor is dynamically adjusted according to the temperature range (e.g., the amplification factor is adjustable from 1 to 100 times). The signal is then filtered by a low-pass filter in the signal conditioning circuit (the cutoff frequency is adjustable from 10Hz / 50Hz / 100Hz) before being transmitted to the core control unit. The cutoff frequency of the low-pass filter is dynamically switched by the GPIO pin of the core control unit to suppress electromagnetic interference in the kitchen environment. Then, step S2 is executed.

[0029] In this embodiment of the invention, S2 then performs temperature deviation calculation. The core control unit receives the conditioned temperature signal and compares it with the preset temperature curve. The preset temperature curve is compared with the cooking temperature setting of each recipe (e.g., steak pan-frying curve: 200℃ for locking in juice → 160℃ for pan-frying) to calculate the temperature deviation value. The temperature deviation value is determined by the difference between the target temperature and the measured temperature. Then S3 is executed.

[0030] In this embodiment of the invention, S3 performs PID power regulation. The core control unit generates a PWM control signal based on the temperature deviation value using a PID algorithm. The frequency of the PWM control signal is 0-10KHz. The power driving circuit of the power regulation module controls the output power of the heating element, and the power deviation is corrected in real time through the current sampling feedback circuit. The output of the PID algorithm (i.e., the adjustment amount of the PWM duty cycle) consists of three parts: proportional (p), integral (i), and derivative (d). Formula (1) is: (1), Where u(t) is the PWM duty cycle adjustment (range 0-100%), K_p is the proportional coefficient (range 0.2-0.6), K_i is the integral coefficient (range 0.01-0.05), K_d is the derivative coefficient (range 0.1-0.3), e(t) is the real-time temperature deviation and e(t)=r(t)-y(t), which is the difference between the target power r(t) and the actual sampled power y(t), ∫e(τ)dτ is the deviation integral and the steady-state error needs to be eliminated, and de(t) / dt is the deviation derivative.

[0031] Specifically, the actual sampling power y(t) is obtained by the current sampling feedback circuit, and the calculation formula is: y(t)=U×I(t)×η, where U is the heating circuit voltage (the DC voltage after rectification, which is monitored by the power management unit), I(t) is the current sampling value, and η is the heating element efficiency (a constant, determined by hardware characteristics).

[0032] Specifically, since the system uses digital chips for control, the continuous-time formula needs to be discretized into a discrete-time form. This discretization is achieved using formula (2): (2), Where u(n) is the PWM duty cycle of the nth sampling, e(n) is the temperature deviation of the nth sampling, e(n-1) is the temperature deviation of the (n-1)th sampling, and T is the sampling period (e.g., the sampling period is preset to 0.01s); the proportional coefficient, integral time, and derivative time of the PID algorithm in S3 can be remotely configured through an external terminal to adapt to the heating characteristics of different ingredients; then execute S4.

[0033] In this embodiment of the invention, S4 performs power management and abnormal protection. The adaptive power management unit dynamically switches the output voltage level according to the system operating conditions and monitors the power status. When an abnormality is detected, a protection mechanism is triggered. The system operating conditions include standby, temperature measurement, and heating. When in standby, only the 3.3V core voltage is retained. The power abnormality situation is specifically when the power abnormality detection circuit detects overvoltage, undervoltage, and surge in the input voltage, it triggers the core control unit to send a fault code to the external terminal through the wireless communication module.

[0034] In this embodiment of the invention, in S5, the core control unit synchronizes temperature data and control commands with an external terminal through a wireless communication module. The wireless communication module is an anti-interference wireless communication module, and the anti-interference wireless communication module uses CRC-16 checksum and frequency hopping mechanism for communication data. The frequency hopping mechanism switches the communication channel every 10ms to avoid interference with microwave ovens or Bluetooth devices on the same frequency, thereby reducing the data transmission error rate.

[0035] Working process: After the system is powered on, the adaptive power management unit outputs 5V to power the temperature acquisition module and 3.3V to power the core control unit. The temperature sensor acquires the pot body temperature every 10ms. After being amplified by an AD8232 instrumentation amplifier (multiplier 50) and low-pass filtered (50Hz), the temperature is input to the core control unit via an ADC. The core control unit then calculates the temperature deviation and substitutes it into the discrete PID formula to generate the PWM duty cycle (e.g., if the target temperature is 180℃ and the measured temperature is 175℃, then e(n) = 180 - 175 = 5℃, u(n) = 0.4 × 5 + 0.02 × 0.01 × Σe(k) + 0.2 × (5 - e)). (n-1)) / 0.01), where K_p=0.4, K_i=0.02 and K_d=0.2 by default; the PWM signal drives the MOS transistor through the driver chip to control the heating tube power, and the current sampling feedback circuit monitors the current in real time and corrects the PWM duty cycle to compensate for voltage fluctuations; in standby mode, the DC-DC conversion circuit shuts down the 5V / 12V output, and the system power consumption drops to 8mW; when the voltage is detected to be ≥340V, the heating is immediately cut off and an "overvoltage fault" is pushed; the wireless communication module switches the channel every 10ms to synchronize the temperature curve and working status, and supports users to remotely start, stop or modify cooking parameters.

[0036] The beneficial effects of this invention are as follows: Through a temperature sensor and signal conditioning circuit, the response speed of temperature detection accuracy is fast, achieving precise temperature measurement; electromagnetic interference is effectively suppressed through a low-pass filter and EMC enhancement circuit, improving the signal-to-noise ratio and significantly enhancing temperature control stability; continuous power adjustment from 100W to 2000W is achieved through digital PWM control, combined with current feedback closed-loop control, resulting in higher accuracy; the PID algorithm combined with current feedback closed-loop control reduces power deviation and can compensate for grid fluctuations of up to 10%, meeting the needs of precise cooking; multi-level power management reduces standby power consumption, and a power anomaly detection function enhances electrical safety; it has good compatibility and supports wireless communication and external terminal linkage, can be integrated into various smart cookware, is easy to promote and apply, and the matching network and frequency hopping mechanism reduce the wireless communication error rate, supporting stable remote control and data synchronization.

[0037] The optional embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above embodiments. Within the scope of the technical concept of the embodiments of the present invention, various simple modifications can be made to the technical solutions of the embodiments of the present invention, and these simple modifications all fall within the protection scope of the embodiments of the present invention.

[0038] It should also be noted that the various specific technical features described in the above embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not describe the various possible combinations separately.

[0039] Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a microcontroller, chip, or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0040] Furthermore, various different implementations of the present invention can be combined arbitrarily, as long as they do not violate the spirit of the present invention, they should also be regarded as the content disclosed in the present invention.

Claims

1. A temperature control system for a smart pot, characterized in that, include: A temperature acquisition module includes a temperature sensor and a signal conditioning circuit. The signal conditioning circuit includes an instrumentation amplifier and a low-pass filter connected in sequence. The output terminal of the temperature sensor is electrically connected to the input terminal of the instrumentation amplifier. The core control unit is electrically connected to the output of the low-pass filter. The power regulation module includes a PWM generation circuit, a power drive circuit, and a current sampling feedback circuit. The control terminal of the PWM generation circuit is electrically connected to the PWM output terminal of the core control unit, the input terminal of the power drive circuit is electrically connected to the output terminal of the PWM generation circuit, and the current sampling feedback circuit is electrically connected to the current feedback input terminal of the core control unit. The adaptive power management unit includes a DC-DC conversion circuit and a power anomaly detection circuit. The output terminal of the DC-DC conversion circuit is electrically connected to the power input terminals of the temperature acquisition module, the core control unit, and the power regulation module, respectively. The output terminal of the power anomaly detection circuit is electrically connected to the anomaly detection input terminal of the core control unit.

2. The temperature control system for a smart pot according to claim 1, characterized in that, The core control unit uses a microprocessor with wireless communication capabilities. The radio frequency front-end of the core control unit is equipped with a matching network, which includes multiple parallel capacitor branches. Each capacitor branch is connected to the GPIO pin of the core control unit through a switching transistor.

3. The temperature control system for a smart pot according to claim 1, characterized in that, The temperature sensor is an infrared temperature sensor, and the low-pass filter is a second-order RC active filter.

4. The temperature control system for a smart pot according to claim 1, characterized in that, The power drive circuit includes a driver chip and a MOSFET. The input terminal of the driver chip is electrically connected to the output terminal of the PWM generation circuit, and the output terminal of the driver chip is electrically connected to the gate of the MOSFET.

5. A temperature control system for a smart pot according to claim 1, characterized in that, It also includes an EMC enhancement circuit, which includes a TVS diode and a signal isolation optocoupler, connected in series between the core control unit and the wireless communication module.

6. A temperature control method for a smart pot, applied to the temperature control system according to any one of claims 1-5, characterized in that, The steps include: S1: The real-time temperature signal of the pot body is collected by the temperature sensor, amplified by the instrumentation amplifier and filtered by the low-pass filter of the signal conditioning circuit, and then transmitted to the core control unit. S2: The core control unit receives the conditioned temperature signal, compares it with the preset temperature curve, and calculates the temperature deviation value; S3: The core control unit generates a PWM control signal based on the temperature deviation value and through a PID algorithm. The signal is then used by the power drive circuit of the power regulation module to control the output power of the heating element and corrects the power deviation in real time through a current sampling feedback circuit. S4: The adaptive power management unit dynamically switches the output voltage level according to the system operating conditions and monitors the power status. When an abnormality is detected, the protection mechanism is triggered. S5: The core control unit synchronizes temperature data and control commands with an external terminal via a wireless communication module.

7. The temperature control method for a smart pot according to claim 1, characterized in that, In step S1, the cutoff frequency of the low-pass filter is dynamically switched via the GPIO pin of the core control unit to suppress electromagnetic interference in the kitchen environment.

8. The temperature control method for a smart pot according to claim 1, characterized in that, In step S3, the proportional coefficient, integral coefficient, and derivative coefficient of the PID algorithm can be remotely configured via an external terminal to adapt to the heating characteristics of different ingredients. The PID algorithm is calculated using formula (1): （1）； Where u(t) is the PWM duty cycle adjustment, K_p is the proportional coefficient, K_i is the integral coefficient, K_d is the derivative coefficient, e(t) is the real-time temperature deviation, ∫e(τ)dτ is the deviation integral, and de(t) / dt is the deviation derivative. The PID algorithm uses formula (2) to achieve discretization, and formula (2) is: （2）； Where u(n) is the PWM duty cycle of the nth sampling, e(n) is the temperature deviation of the nth sampling, e(n-1) is the temperature deviation of the (n-1)th sampling, and T is the sampling period.

9. The temperature control method for a smart pot according to claim 1, characterized in that, In step S4, when the power supply abnormality detection circuit detects overvoltage, undervoltage, or surge in the input voltage, it triggers the core control unit to send a fault code to an external terminal via the wireless communication module.

10. The temperature control method for a smart pot according to claim 1, characterized in that, In step S5, the wireless communication module adopts an anti-interference wireless communication module, which uses CRC-16 checksum and frequency hopping mechanism to communicate data. The frequency hopping mechanism switches the communication channel every 10ms.

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