Intelligent temperature adjusting method for heat-resistant protective clothing

Abstract

The invention relates to the technical field of protective clothing, and particularly discloses an intelligent temperature adjusting method for heat-resistant protective clothing, and the method comprises the steps: obtaining real-time temperature data through temperature sensors disposed in a plurality of regions of the heat-resistant protective clothing; based on the real-time temperature data, calculating the change of the temperature in each area along with time by using a heat conduction model to obtain temperature change prediction data; performing temperature coupling analysis based on the temperature change prediction data, and determining regional temperature data; determining a temperature control strategy based on the area temperature data; and based on the temperature control strategy, sending a temperature adjusting instruction to the temperature control devices in the plurality of areas so as to adjust the temperature in each area. According to the method, the temperature can be adjusted intelligently, accurately and efficiently, and the comfort, safety and adaptability of the heat-resistant protective clothing in a high-temperature environment are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of protective clothing, and particularly relates to an intelligent temperature regulation method for heat-resistant protective clothing. Background Art

[0002] Currently, heat-resistant protective clothing is widely used by workers in high-temperature environments, such as firefighters, steelworkers, etc. However, existing heat-resistant protective clothing can only provide passive heat protection in high-temperature environments, and wearers are prone to discomfort due to high temperatures, and may even cause health problems such as heat stress and heat stroke.

[0003] Therefore, it is necessary to provide an intelligent temperature regulation method for heat-resistant protective clothing. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent temperature regulation method for heat-resistant protective clothing, and solve the following technical problems: by real-time monitoring and regulating the body temperature of the wearer, and providing active temperature regulation and heat protection to the wearer according to the detected temperature, so as to significantly improve the comfort and safety of the protective clothing and reduce the health threat of the high-temperature environment to the workers.

[0005] The purpose of the present invention can be achieved by the following technical solutions: An intelligent temperature regulation method for heat-resistant protective clothing, comprising the following steps: Obtain real-time temperature data by using temperature sensors arranged in multiple areas of the heat-resistant protective clothing; Upload the real-time temperature data to the temperature control unit of the heat-resistant protective clothing; Based on the real-time temperature data by the temperature control unit, use a heat conduction model to calculate the change of temperature with time in each area, and obtain temperature change prediction data; Perform temperature coupling analysis based on the temperature change prediction data to determine regional temperature data; Determine a temperature control strategy based on the regional temperature data; Based on the temperature control strategy, send temperature regulation instructions to the temperature control devices in the multiple areas; Execute the temperature regulation instructions through the temperature control devices in the multiple areas to regulate the temperature in each area.

[0006] As a further solution of the present invention, the step of using the heat conduction model by the temperature control unit based on the real-time temperature data to calculate the change of temperature with time in each area and obtain temperature change prediction data includes: Use the heat conduction model shown in the following formula to calculate the change of temperature with time in each area; ; where, T i (t) is the temperature of region i at time t, represents the temperature change rate of region i at time t, α i is the thermal diffusivity of region i, is the second spatial derivative of the internal temperature of region i, representing the change rate of temperature at spatial position x, K ij is the heat conduction coefficient between region i and region j, T j (t) - T i (t) is the temperature difference between region j and region i.

[0007] As a further aspect of the present invention, performing temperature coupling analysis based on the temperature change prediction data to determine regional temperature data includes: Determining the heat flux between different regions based on the temperature change prediction data; Determining the regional temperature data according to the heat flux between different regions.

[0008] As a further aspect of the present invention, determining the heat flux between different regions based on the temperature change prediction data includes: Determining the heat flux between different regions based on the temperature change prediction data through the following formula; ; where, Q ij is the heat flux from region i to region j, K ij is the heat conduction coefficient between region i and region j, represents the temperature difference between region i and region j at time t + 1.

[0009] As a further aspect of the present invention, determining the temperature control strategy based on the regional temperature data includes: Determining the temperature control strategy through a PID controller; the output formula of the PID controller is: ; where, u i (t) represents the control signal of region i at time t, e i (t) represents the temperature error of region i at time t, T set is the set target temperature, T i (t) is the regional temperature data of region i, K p is the proportional gain, used to determine the response intensity of the current temperature error e i (t), K i is the integral gain, used to eliminate long-term cumulative errors, is the integral term of the temperature error, used to represent the accumulation of the error, K d is the differential gain, used to predict the future behavior of the temperature control system, is the rate of change of the error.

[0010] As a further solution of the present invention, the method further includes: Obtaining feedback data of the user for temperature adjustment control; Generating a feedback signal based on the feedback data; Using the feedback signal to optimize the parameters of the PID controller.

[0011] As a further solution of the present invention, the temperature sensors in multiple regions of the heat-resistant protective clothing are arranged in the following manner: Obtaining the temperature control target and temperature control accuracy of intelligent temperature adjustment; Based on the temperature control target, dividing the heat-resistant protective clothing into regions; Based on the temperature control accuracy, arranging at least one type of temperature sensor in each divided region; wherein, the temperature sensor includes an infrared sensor, a thermocouple temperature sensor, a semiconductor temperature sensor, and a thermistor temperature sensor.

[0012] An intelligent temperature adjustment system for a heat-resistant protective clothing, the system includes: A real-time temperature acquisition module, used to acquire real-time temperature data by using temperature sensors arranged in multiple regions of the heat-resistant protective clothing; A temperature data uploading module, used to upload the real-time temperature data to the temperature control unit of the heat-resistant protective clothing; A prediction module, used to calculate the change of the temperature in each region over time based on the real-time temperature data by the temperature control unit by using a heat conduction model, and obtain temperature change prediction data; A coupling analysis module, used to perform temperature coupling analysis based on the temperature change prediction data to determine regional temperature data; A control strategy determination module, used to determine a temperature control strategy based on the regional temperature data; An instruction sending module, used to send a temperature adjustment instruction to the temperature control devices in the multiple regions based on the temperature control strategy; A temperature adjustment module, used to execute the temperature adjustment instruction through the temperature control devices in the multiple regions to adjust the temperature in each region.

[0013] Advantages of the present invention: The present invention provides an intelligent, precise, and efficient temperature regulation method, which can significantly improve the comfort, safety, and adaptability of heat-resistant protective clothing in high-temperature environments. Through a precise temperature control system and area division, it can effectively regulate the temperature of different areas, avoid overheating or discomfort, and provide a variety of temperature sensor options to ensure that the system can operate flexibly under various working conditions. Brief Description of the Drawings

[0014] The present invention will be further described below in conjunction with the accompanying drawings.

[0015] Figure 1 It is a schematic structural diagram of the intelligent temperature regulation method for heat-resistant protective clothing of the present invention. Detailed Embodiments

[0016] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0017] Please refer to Figure 1 As shown, the present invention is an intelligent temperature regulation method for heat-resistant protective clothing. In some embodiments, Figure 1 The process 100 shown can be executed by a processor or an intelligent temperature regulation system for heat-resistant protective clothing. Exemplarily, the process 100 may include the following operations.

[0018] Step 101, obtaining real-time temperature data by using temperature sensors arranged in multiple areas of the heat-resistant protective clothing.

[0019] Heat-resistant protective clothing refers to clothing used to protect personnel from high-temperature injuries. It usually includes multiple layers of protective materials and can embed temperature sensors and temperature control devices to monitor and regulate the temperature inside the clothing.

[0020] A temperature sensor refers to a device installed in each area of the heat-resistant protective clothing for real-time monitoring and recording the temperature of that area. In some embodiments, the temperature sensor may include a thermocouple, a resistance temperature detector (RTD), etc., which can convert the physical temperature into an electrical signal for subsequent processing.

[0021] Real-time temperature data refers to the temperature value collected at the current moment by the temperature sensor, which reflects the instant temperature state of each area in the heat-resistant protective clothing.

[0022] In some embodiments, temperature sensors may be provided in multiple key areas of the heat-resistant protective clothing (such as the back, chest, arms, etc.), and the temperature sensors sense and record the temperature of each area in real time to generate real-time temperature data.

[0023] In some embodiments, the temperature sensors in multiple areas of the heat-resistant protective clothing are arranged in the following manner.

[0024] S10. Obtain the temperature control target and temperature control accuracy of intelligent temperature regulation; The temperature control target refers to the desired temperature value set by the system, which can be determined by user requirements or environmental requirements. For example, when wearing the heat-resistant protective clothing, the user may hope to control the body surface temperature within a certain range (such as 25°C - 30°C) to maintain comfort.

[0025] In some embodiments, the temperature control target can be determined through the user input interface or the standard temperature value preset by the system. For example, the user can set the desired temperature range through the APP interface or the control buttons on the clothing, or automatically set the target temperature according to the requirements of the working environment.

[0026] The temperature control accuracy refers to the temperature regulation error range that the system can achieve. A higher control accuracy means that the temperature change is smaller, and the system can regulate the temperature very precisely.

[0027] In some embodiments, the temperature control accuracy can be defined through user settings or preset control standards. For example, the user can select the temperature fluctuation range (such as ±0.5°C), or determine the accuracy requirements according to the heat-resistant performance of the clothing.

[0028] S11. Based on the temperature control target, divide the heat-resistant protective clothing into regions.

[0029] According to the temperature control target, the heat-resistant protective clothing can be divided into multiple different regions, and independent temperature sensors are configured in each region. The specific way of dividing the regions can be based on different parts of the human body's heat perception or the functional areas of the clothing.

[0030] S12. Based on the temperature control accuracy, set at least one type of temperature sensor in each divided region. Among them, the temperature sensors include infrared sensors, thermocouple temperature sensors, semiconductor temperature sensors, and thermistor temperature sensors.

[0031] Step 102. Upload the real-time temperature data to the temperature control unit of the heat-resistant protective clothing.

[0032] The temperature control unit refers to the core control system in heat-resistant protective clothing, which can receive real-time temperature data transmitted by temperature sensors and perform subsequent data processing and temperature adjustment decisions.

[0033] Uploading refers to the process of transmitting the real-time collected temperature data from the temperature sensor to the temperature control unit. Data transmission can be carried out through wireless technology or wired connection. For example, the temperature control unit can be set inside the heat-resistant protective clothing, and at this time, uploading can be carried out through a wired connection; the temperature control unit can also be set in the cloud, and at this time, uploading can be carried out through wireless technology.

[0034] Step 103: Based on the real-time temperature data, use the heat conduction model through the temperature control unit to calculate the change of temperature over time in each area, and obtain temperature change prediction data.

[0035] The heat conduction model refers to a mathematical model based on physics, which is used to simulate the propagation of heat in different media. The heat conduction model can predict the change of temperature over time in each area under given conditions.

[0036] The temperature change prediction data refers to the data calculated through the heat conduction model, which predicts how the temperature in each area will change in the future for a period of time. This data can be output in the form of a time series, reflecting the trend of temperature change.

[0037] In some embodiments, the temperature control unit can input the real-time temperature data into the heat conduction model and calculate the temperature change trend in each area. According to the calculation result of the heat conduction model, the prediction data of the temperature change over time in each area is obtained.

[0038] In some embodiments, the step of using the heat conduction model through the temperature control unit to calculate the change of temperature over time in each area based on the real-time temperature data to obtain temperature change prediction data includes: using the heat conduction model shown in the following formula (1) to calculate the change of temperature over time in each area; (1); Where, T i (t) is the temperature of area i at time t, represents the temperature change rate of area i at time t, α i is the thermal diffusivity of area i, is the second-order spatial derivative of the internal temperature of area i, representing the change rate of temperature at the spatial position x, K ij is the heat conduction coefficient between area i and area j, T j (t) - T i (t) is the temperature difference between area j and area i.

[0039] Step 104, perform temperature coupling analysis based on the temperature change prediction data to determine the regional temperature data.

[0040] Temperature coupling analysis is an analytical method used to study how temperature changes in different regions affect each other. By analyzing the heat exchange between regions (such as heat flux, thermal radiation), the temperature data of each region can be obtained.

[0041] Regional temperature data refers to the temperature data obtained for each region after temperature coupling analysis.

[0042] In some embodiments, the temperature change prediction data calculated using a heat conduction model can be used. Through the temperature coupling analysis method, factors such as heat conduction and heat convection between regions are considered to analyze the heat exchange between regions, so as to determine the final temperature data of each region, that is, the temperature magnitude of each region at a specific time point.

[0043] In some embodiments, the performing temperature coupling analysis based on the temperature change prediction data to determine the regional temperature data may include the following operations: determining the heat flux between different regions based on the temperature change prediction data; and determining the regional temperature data according to the heat flux between different regions.

[0044] Heat flux refers to the rate at which thermal energy is transferred through a unit area per unit time, usually measured in watts (W). The magnitude of the heat flux affects the temperature transfer between different regions, and the heat flux can help determine the temperature change situation of each region.

[0045] In some embodiments, based on the temperature change prediction data, the heat flux between different regions can be calculated through thermodynamic principles, heat transfer equations (such as Fourier's law), or numerical simulation methods.

[0046] In some embodiments, a mathematical model (such as a one-dimensional or three-dimensional heat transfer model) can be further used to calculate the temperature change based on the heat flux and heat capacity. For example, the greater the heat flux in a certain region, the faster the temperature may rise. Update the temperature of each region according to the predicted temperature change to obtain the regional temperature data.

[0047] In some embodiments, the determining the heat flux between different regions based on the temperature change prediction data may include: determining the heat flux between different regions based on the temperature change prediction data through the following formula (2); (2); where Q ij is the heat flux from region i to region j, and K ij is the heat conduction coefficient between region i and region j, Represents the temperature difference between region i and region j at time t + 1.

[0048] Step 105, determine a temperature control strategy based on the regional temperature data.

[0049] The temperature control strategy refers to the temperature control plan formulated by the temperature control unit based on the temperature data of each region (such as predicted temperature, current temperature, etc.). The strategy may include heating, cooling certain regions, or taking measures such as ventilation to keep the temperature within a safe and comfortable range.

[0050] The temperature control unit refers to the system unit responsible for processing temperature data and formulating adjustment strategies.

[0051] In some embodiments, the temperature control unit may set the target temperature or temperature range for each region according to the analyzed regional temperature data. According to the target temperature, appropriate temperature adjustment measures are selected, such as increasing heat, reducing heat, or maintaining the status quo. Generating a specific temperature control strategy can specify how to adjust the temperature of each region to ensure comfort and safety.

[0052] In some embodiments, determining the temperature control strategy based on the regional temperature data includes: determining the temperature control strategy through a PID controller; the output formula of the PID controller is as shown in the following formula (3): (3); where u i (t) represents the control signal of region i at time t, e i (t) represents the temperature error of region i at time t, T set is the set target temperature, T i (t) is the regional temperature data of region i, K p is the proportional gain, used to determine the response intensity of the current temperature error e i (t), K i is the integral gain, used to eliminate long-term cumulative errors, is the integral term of the temperature error, used to represent the accumulation of errors, K d is the derivative gain, used to predict the future behavior of the temperature control system, is the rate of change of the error.

[0053] The PID controller is a feedback controller used for the control of dynamic systems. PID represents three control strategies: Proportional, Integral, and Derivative. The PID controller adjusts the output according to the error (the difference between the actual temperature and the target temperature) to make the system reach and maintain the target state.

[0054] Step 106: Based on the temperature control strategy, send temperature adjustment instructions to the temperature control devices in the multiple regions.

[0055] A temperature adjustment instruction refers to an order issued by the temperature control unit according to the formulated temperature control strategy, used to instruct the temperature control device to perform specific adjustment operations (such as heating, cooling, etc.).

[0056] A temperature control device refers to a device installed in the heat-resistant protective clothing, used to execute the adjustment instructions issued by the temperature control unit. The temperature control device may include heating elements, refrigeration devices, fans, etc.

[0057] In some embodiments, the temperature control unit may generate temperature adjustment instructions according to the formulated temperature control strategy, clarify the adjustment direction (heating or cooling) and adjustment intensity (strong, medium, weak), and send the temperature adjustment instructions to the temperature control devices in the corresponding regions by wireless or wired means.

[0058] After receiving the instruction, the temperature control device starts to adjust the temperature in the specified manner. For example, start the heating device or refrigeration device to adjust the regional temperature.

[0059] Step 107: Execute the temperature adjustment instructions through the temperature control devices in the multiple regions to adjust the temperature in each region.

[0060] A temperature adjustment operation refers to the temperature control device executing the adjustment instruction, using means such as heating and cooling to adjust the temperature in each region to achieve the predetermined temperature control target.

[0061] In some embodiments, according to the temperature adjustment instruction, the temperature control device may start corresponding operations (such as heating, cooling, ventilation, etc.).

[0062] In some implementations, the intelligent temperature adjustment method for heat-resistant protective clothing may further include the following operations.

[0063] S20: Obtain the feedback data of the user on temperature adjustment control.

[0064] User feedback data refers to the feedback information of the user on the temperature adjustment effect of the intelligent temperature adjustment system during actual use. The feedback data may include the satisfaction with temperature control, the gap between the actual temperature and the desired temperature, whether feeling overheated or overcooled, whether there is uneven local temperature, etc.

[0065] In some embodiments, the user's perception feedback on temperature can be collected through a user interface (such as a handheld device or a temperature control panel in the clothing). For example, the user can select options such as "too cold", "too hot", or "suitable" on the device.

[0066] S21, generate a feedback signal based on the feedback data.

[0067] The feedback signal is a signal extracted and transformed from the user feedback data, usually presented as a digital or analog signal, reflecting the user's perception of the current temperature control state. The feedback signal can be encoded in various ways and transmitted to the control system for adjusting the temperature control strategy.

[0068] In some embodiments, according to the user's feedback, a mathematical model (such as weighted average, fuzzy logic control, etc.) can be applied to analyze the feedback data, and the analysis result can be converted into a digital signal to obtain the feedback signal.

[0069] S22, optimize the parameters of the PID controller using the feedback signal.

[0070] The parameters of the PID controller include the proportional coefficient (Kp), the integral coefficient (Ki), and the derivative coefficient (Kd). These three parameters determine how the PID controller responds to the temperature error and then controls the heating or cooling device to adjust the temperature.

[0071] In some embodiments, if the feedback signal indicates a large temperature error, increase Kp. If the feedback signal indicates a long-term deviation of the system, increase Ki to eliminate the accumulated error. If the feedback signal indicates that the temperature change is too drastic, increase Kd to reduce the temperature fluctuation.

[0072] In some embodiments, an intelligent optimization algorithm (such as genetic algorithm, particle swarm optimization, etc.) can also be used to automatically adjust the PID parameters according to the feedback signal, making the response of the controller more accurate.

[0073] Based on the same inventive concept, the present invention also provides an intelligent temperature regulation system for heat-resistant protective clothing, the system comprising: A real-time temperature acquisition module for acquiring real-time temperature data using temperature sensors disposed in multiple regions of the heat-resistant protective clothing; A temperature data uploading module for uploading the real-time temperature data to the temperature control unit of the heat-resistant protective clothing; A prediction module for calculating, by the temperature control unit based on the real-time temperature data, the change of the temperature over time in each region using a heat conduction model to obtain temperature change prediction data; A coupling analysis module for performing temperature coupling analysis based on the temperature change prediction data to determine regional temperature data; A control strategy determination module for determining a temperature control strategy based on the regional temperature data; An instruction sending module for sending temperature regulation instructions to the temperature control devices in the multiple regions based on the temperature control strategy. A temperature regulation module for executing the temperature regulation instruction through temperature control devices in the multiple regions to regulate the temperature in each region.

[0074] The working principle of the present invention: Through an accurate intelligent temperature regulation method, the temperature of the clothing can be dynamically adjusted according to the external environmental temperature and the wearer's needs. This temperature control system helps to maintain a suitable temperature range, avoiding discomfort or heatstroke caused by the wearer's long-term exposure to high-temperature environments, and effectively preventing safety accidents caused by overheating. By dividing the heat-resistant protective clothing into multiple regions and controlling the temperature of each region separately, the adaptability of the clothing in different environments is improved. For example, different parts of the clothing (such as the chest, back, arms, etc.) may be heated to different degrees, and the temperature of each region can be accurately controlled through regional temperature sensors, thereby improving the overall comfort and safety. By setting temperature control targets and accuracies, it is ensured that the temperature regulation system can accurately maintain the target temperature, thus avoiding discomfort or safety hazards caused by excessive temperature fluctuations or improper temperature control. In high-temperature environments, accurate temperature control is particularly important, helping the wearer to maintain the best state for a long time during work.

[0075] The above has described a detailed embodiment of the present invention, but the content described is only the preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. Any equivalent changes and improvements made in accordance with the scope of the present invention application shall still fall within the scope covered by the patent of the present invention.

Claims

1. An intelligent temperature regulation method for heat-resistant protective clothing, characterized in that, It includes the following steps: Obtain real-time temperature data by using temperature sensors arranged in multiple areas of the heat-resistant protective clothing; Upload the real-time temperature data to the temperature control unit of the heat-resistant protective clothing; Based on the real-time temperature data through the temperature control unit, use the heat conduction model to calculate the change of temperature over time in each area, and obtain temperature change prediction data; Conduct temperature coupling analysis based on the temperature change prediction data to determine the area temperature data; Determine the temperature control strategy based on the area temperature data; Based on the temperature control strategy, send temperature adjustment instructions to the temperature control devices in the multiple areas; Execute the temperature adjustment instructions through the temperature control devices in the multiple areas to adjust the temperature in each area.

2. The intelligent temperature regulation method for heat-resistant protective clothing according to claim 1, characterized in that, The step of, through the temperature control unit based on the real-time temperature data, using the heat conduction model to calculate the change of temperature over time in each area, and obtaining temperature change prediction data, includes: Use the heat conduction model shown in the following formula to calculate the change of temperature over time in each area; ； where, T i (t) is the temperature of region i at time t, represents the temperature change rate of region i at time t, α i is the thermal diffusivity of region i, is the second spatial derivative of the temperature inside region i, representing the rate of change of temperature at the spatial position x, K ij is the heat transfer coefficient between region i and region j, T j (t) - T i (t) is the temperature difference between region j and region i.

3. The intelligent temperature regulation method for heat-resistant protective clothing according to claim 1, characterized in that, The step of conducting temperature coupling analysis based on the temperature change prediction data to determine the area temperature data includes: Based on the temperature change prediction data, determine the heat flow between different areas; According to the heat flow between different areas, determine the area temperature data.

4. The intelligent temperature regulation method for heat-resistant protective clothing according to claim 3, characterized in that, The step of, based on the temperature change prediction data, determining the heat flow between different areas, includes: Based on the temperature change prediction data, determine the heat flow between different areas through the following formula; ； Among them, Q ij is the heat flux from region i to region j, and K ij is the heat transfer coefficient between region i and region j, represents the temperature difference between region i and region j at time t + 1.

5. The intelligent temperature regulation method for heat-resistant protective clothing according to claim 1, characterized in that, The step of determining the temperature control strategy based on the area temperature data includes: Determine the temperature control strategy through a PID controller; the output formula of the PID controller is: ； Among them, u i (t) represents the control signal of area i at time t, e i (t) represents the temperature error of area i at time t, T set is the set target temperature, T i (t) is the area temperature data of area i, K p is the proportional gain, used to determine the response intensity of the current temperature error e i (t), K i is the integral gain, used to eliminate long-term cumulative errors, is the integral term of the temperature error, used to represent the accumulation of errors, K d is the derivative gain, used to predict the future behavior of the temperature control system, is the rate of change of the error.

6. The intelligent temperature regulation method for heat-resistant protective clothing according to claim 5, characterized in that, The method further includes: Obtain the feedback data of the user for temperature adjustment control; Generate a feedback signal based on the feedback data; Use the feedback signal to optimize the parameters of the PID controller.

7. The intelligent temperature regulation method for heat-resistant protective clothing according to claim 1, characterized in that, The temperature sensors in the multiple areas of the heat-resistant protective clothing are arranged in the following way: Obtain the temperature control target and temperature control accuracy of intelligent temperature adjustment; Based on the temperature control target, divide the heat-resistant protective clothing into areas; Based on the temperature control accuracy, set at least one temperature sensor in each divided area; wherein, the temperature sensors include infrared sensors, thermocouple temperature sensors, semiconductor temperature sensors, and thermistor temperature sensors.

8. An intelligent temperature regulation system for heat-resistant protective clothing, characterized in that, The system includes: A real-time temperature acquisition module, which is used to obtain real-time temperature data by using temperature sensors arranged in multiple areas of the heat-resistant protective clothing; A temperature data upload module, which is used to upload the real-time temperature data to the temperature control unit of the heat-resistant protective clothing; A prediction module, which is used to, through the temperature control unit based on the real-time temperature data, use the heat conduction model to calculate the change of temperature over time in each area, and obtain temperature change prediction data; A coupling analysis module, which is used to conduct temperature coupling analysis based on the temperature change prediction data to determine the area temperature data; A control strategy determination module, which is used to determine the temperature control strategy based on the area temperature data; An instruction sending module, configured to send temperature adjustment instructions to the temperature control devices in the multiple regions based on the temperature control strategy; A temperature adjustment module, configured to execute the temperature adjustment instructions through the temperature control devices in the multiple regions to adjust the temperature in each region.

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