Innovative ready-made garment technology for intelligent temperature-adjusting warm-keeping clothes

By using phase change materials, conductive fibers and thermocouple power generation modules in intelligent temperature-controlled and warm-insulating clothing, combined with model prediction modules, the problems of slow heating response speed and limited battery life are solved, and fast, energy-saving and safe temperature regulation are achieved and Self-sufficient energy supply.

CN119302472APending Publication Date: 2025-01-14YULIN HONGLIU GARMENT CO LTD
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Patent Information

Application Number
CN202411339524.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-25
Publication Date
2025-01-14

AI Technical Summary

Technical Problem

The existing intelligent temperature-regulating and insulating clothing has slow response speed during heating, limited battery life, and requires frequent charging, which causes inconvenience to users.

Method used

It adopts phase change materials, conductive fibers, temperature sensors and integrated control chips, combined with thermocouple power generation modules and model prediction modules, and through intelligent adjustment modules and environmental monitoring modules, real-time temperature regulation and energy recovery are achieved, reducing dependence on external power sources.

Benefits of technology

It realizes rapid response temperature regulation, reduces energy consumption, extends clothing service life, improves comfort and safety, and realizes a self-sufficiency energy supply through the thermocouple power generation module, reducing charging frequency.

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Abstract

The invention provides a ready-made garment innovative technology for intelligent temperature-adjusting warm-keeping clothes, and relates to the technical field of warm-keeping clothes. The ready-made garment innovation technology of the intelligent temperature-adjusting warm-keeping garment comprises the following steps of S1, material selection, S2, garment manufacturing, S3, connecting layer manufacturing, S4, intelligent module integration, S5, galvanic couple power generation module assembly and S6, environment monitoring module installation. The phase-change material can absorb or release heat within a certain temperature range, the conductive fibers can accurately control the process, the temperature of the warm-keeping clothes can be adjusted according to the external environment or user requirements, due to the combination of the phase-change material and the conductive fibers, the warm-keeping clothes can be designed to be adjustable, and the warm-keeping clothes are convenient to use. A user can adjust the temperature according to factors such as the activity amount and the environment temperature, the temperature can be adjusted in real time through model prediction and the intelligent temperature-adjusting warm-keeping clothes, temperature changes can be responded in time, the user is prevented from feeling too hot or too cold, energy use optimization is facilitated, the heating function is started only when necessary, and therefore energy is saved, and energy consumption is reduced.
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Description

Technical Field

[0001] The present invention relates to the technical field of thermal clothing, and in particular to an innovative technology for intelligent temperature-regulating thermal clothing. Background Art

[0002] Smart temperature-regulating thermal clothing is a type of clothing that combines traditional thermal insulation functions with modern smart technology. It is designed to provide the wearer with a more comfortable and personalized temperature regulation experience. This type of clothing usually uses advanced materials, sensors and control systems to achieve intelligent temperature regulation. Innovative clothing technology continues to promote the development of the fashion industry, providing consumers with more comfortable, functional, sustainable and personalized products, using dynamic temperature regulation and special fibers or coatings to automatically adjust the thermal insulation or heat dissipation performance of clothing according to the ambient temperature.

[0003] There are still some shortcomings in the use of existing intelligent temperature-regulating thermal clothing. In the heating process, most of them use heating wires for simple heating, and then adjust the heating temperature through temperature control. The adjustment response speed is slow and the adaptability to the environment is limited. Intelligent thermal clothing usually requires battery power supply, and the battery life is limited, and frequent charging is required, which brings inconvenience to users. Therefore, technical personnel in this field provide innovative technology for intelligent temperature-regulating thermal clothing to solve the problems raised in the above background technology. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the shortcomings of the prior art, the present invention provides an innovative technology for intelligent temperature-regulating thermal clothing, which solves the problem that most of the heating processes use heating wires for simple heating, and then adjust the heating temperature through temperature control, the adjustment response speed is slow, and the adaptability to the environment is limited. Intelligent thermal clothing usually needs to be powered by batteries, and the battery life is limited, and frequent charging is required, which brings inconvenience to users.

[0006] (II) Technical solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: Intelligent temperature regulating and warm clothing clothing innovation technology, including the following steps:

[0008] S1. Material selection: windproof and waterproof fabrics. Choose windproof and waterproof fabrics to make the outer layer of warm clothing;

[0009] Thermal insulation materials: choose materials with high thermal insulation performance, specially designed insulation layers of down and synthetic fiber fillings;

[0010] Comfortable fabrics, choose soft, breathable, skin-friendly lining materials to ensure comfortable wearing;

[0011] An intelligent temperature control module, wherein the intelligent control module further comprises a phase change material, a temperature sensor, an integrated control chip, a conductive fiber and a removable battery, wherein the integrated control chip further comprises an interconnection and interaction module, an environmental monitoring module and an intelligent adjustment module, wherein the interconnection and interaction module comprises Bluetooth, Wi-Fi, NFC and Zigbee, wherein the environmental monitoring module comprises a temperature sensor, and wherein the intelligent adjustment module comprises a model prediction module and an adjustment module;

[0012] Thermocouple power generation module, the thermocouple power generation module also includes a thermocouple power generation board and a rectifier regulator, the rectifier regulator is arranged on an integrated control chip for integrated control.

[0013] S2. Garment production: design clothing styles according to functional requirements, consider the layout of heating elements and sensors, cut the thermal fabric first, cut out the various parts of the clothing according to the design drawings, and then sew them into the basic shape of the clothing. Finally, make the fabric waterproof and windproof.

[0014] S3. Make the connecting layer, select the base fabric material that is compatible with the phase change material, which needs to have good air permeability, flexibility and adhesion with other parts of the garment, and design the multi-layer structure of the connecting layer to ensure that the phase change material is evenly distributed and can effectively store and release heat;

[0015] S3.1. Applying the phase change material to the base fabric in the form of filling or coating. For the filling form, the phase change material particles can be uniformly embedded in the pores of the base fabric. For the coating form, the phase change material solution is uniformly coated on the base fabric.

[0016] S3.2. Conductive fiber integration, fiber embedding, embedding the conductive fiber into the part of the garment that needs to be heated, fiber connection, ensuring good connection between the conductive fiber and the heating element;

[0017] S3.3. Curing treatment: If a phase change material solution is used, curing treatment is required to ensure that the material is firmly bonded to the base fabric;

[0018] S3.4. Combining the base fabric layer containing the phase change material with the thermal insulation layer and the breathable layer to form a connecting layer of a multi-layer structure, and fixing the layers of the connecting layer together using a stitching or bonding technique to ensure the stability and durability of the connecting layer;

[0019] S3.5. Phase change material encapsulation: The phase change material is filled into a specific area of ​​the connection layer, a pre-designed pocket or interlayer, and the phase change material is encapsulated using sealing materials such as silicone and hot melt adhesive to ensure its stability and safety;

[0020] S3.6. Positioning and fixing: Position and fix the prepared connecting layer on the inside of the thermal garment. This is usually done by sewing or using adhesive tape. In the area where the connecting layer contacts the human body, ensure the comfort and breathability of the material to avoid direct contact with the skin and causing discomfort.

[0021] S3.7. System test, functional test, testing the response time and temperature control ability of the heating system, durability test, testing the durability of the clothing and the stability of the smart module, user experience test, evaluating the comfort and practicality of the clothing;

[0022] S4. Intelligent module integration, design the circuit diagram of the intelligent control system, make the integrated control circuit board, and install the necessary electronic components, module assembly, assemble the circuit board, temperature sensor and heating element into the garment, wiring, wiring and connecting the circuit board with the heating element and other intelligent modules.

[0023] S5. Assemble the thermocouple power generation module and select the thermocouple power generation board suitable for clothing application. The power generation board should have high efficiency, low weight and good flexibility;

[0024] S5.1. Check the performance of the thermocouple power generation panel before installation to ensure that it can work normally within the expected temperature range;

[0025] S5.2. Install the thermocouple generator panel in the appropriate position of the clothing, usually in the parts with more body heat, such as the back and chest, where the temperature difference between these parts and the external environment is large and it is easier to produce a large temperature difference;

[0026] S5.3. Use sewing, gluing or other fixing methods to fix the thermocouple generator to the clothing to ensure its stability and durability, ensure heat conduction, and leave an appropriate gap between the generator and the skin to ensure that heat can be effectively transferred to the generator;

[0027] S5.4. Connect the rectifier and voltage regulator to the thermocouple power generation board to ensure that the power generated by the power generation board can be rectified and stabilized to a voltage level suitable for the control chip. Integrate the rectifier and voltage regulator into the control chip or ensure that there is a reliable connection between them so that the control chip can receive and manage the power from the thermocouple power generation board.

[0028] S5.5. Test the circuit connection. After connecting the rectifier regulator and the control chip, perform a circuit connection test to ensure that there is no short circuit or open circuit problem;

[0029] S5.6. Safety and protection measures: Insulation treatment: Ensure that all electrical connections are properly insulated to prevent the risk of electric shock; Durability test: Perform durability test on the entire thermocouple power generation module to ensure stability and reliability in long-term use;

[0030] S6. Install the environment monitoring module and install the temperature sensor on the thermal insulation clothing accessories to monitor the ambient temperature in real time.

[0031] Preferably, the model prediction module detects changes in external temperature according to the above-mentioned temperature sensor, connects to a smart bracelet or a mobile phone according to the Internet interaction module, and analyzes current and predicted ambient temperature data according to weather temperature changes on the smart bracelet and the mobile phone, thereby predicting future temperature changes and adjusting heating parameters accordingly.

[0032] Preferably, the model prediction module includes a linear regression algorithm, and the linear regression algorithm includes the following steps:

[0033] A. Data collection, obtaining historical weather temperature data and ambient temperature data from the Internet interaction module;

[0034] B. Data preprocessing, data cleaning, processing of missing values, and data standardization or normalization;

[0035] C. Feature selection, select the features that have an impact on predicting temperature changes, such as time, historical temperature, humidity and wind speed;

[0036] D. Model training, use historical data to train the linear regression model and adjust the parameters to obtain the best prediction performance. This is usually done by minimizing the sum of squares of the error terms, that is, minimizing the loss function:

[0037]

[0038] Among them, n represents the number of samples, that is, the total number of observations in the data set, and y i represents the actual temperature of the i-th observation, β0 represents the intercept term, which is a constant term in the model that does not depend on any independent variable, β1, β2,,, β n , represents the model parameters, corresponding to each independent variable x i1 , x i2 ,,,x in The coefficient of x i1 , x i2 ,,,x inRepresents the independent variable value of the i-th observation, ∈ represents the error term, that is, the difference between the model predicted value and the actual observed value. The summation symbol ∑ in the formula represents the accumulation of all n observations, that is, calculating the sum of squares of the prediction errors of all observations. The goal is to minimize this sum, so as to find the best model parameters so that the predicted value is as close as possible to the actual observed value.

[0039] (III) Beneficial effects

[0040] The present invention provides an innovative technology for intelligent temperature-regulating and warm-keeping clothing. It has the following beneficial effects:

[0041] 1. In the present invention, the phase change material can absorb or release heat within a certain temperature range, and the conductive fiber can accurately control this process, so that the thermal insulation clothing can adjust the temperature according to the external environment or user needs. Due to the combination of phase change material and conductive fiber, the thermal insulation clothing can be designed to be adjustable, and the user can adjust the temperature according to factors such as activity level and ambient temperature.

[0042] 2. In the present invention, through model prediction, the intelligent temperature-regulating thermal clothing can adjust the temperature in real time, respond to temperature changes in time, avoid users feeling overheated or overcooled, help optimize energy use, and start the heating function only when necessary, thereby saving energy and reducing energy consumption. The model can predict the user's heat needs at different activity levels, automatically adjust the temperature, and ensure that the user is always in a comfortable state.

[0043] 3. In the present invention, the model prediction can predict the user's needs based on multiple factors such as personal body temperature, activity level, ambient temperature, etc., thereby providing personalized temperature regulation and improving the wearer's comfort. The durability of phase change materials and conductive fibers ensures the long-term use of thermal clothing and reduces the frequency of replacement. Conductive fibers can be designed to be within a safe operating temperature range to avoid the risk of overheating or electric shock, thereby improving safety of use.

[0044] 4. In the present invention, the thermocouple can directly convert the heat generated by the thermal clothing into electrical energy, thereby realizing energy recycling and improving the energy efficiency of the thermal clothing. By generating electricity through the thermocouple, the thermal clothing can achieve self-sufficient energy supply to a certain extent and reduce dependence on external power sources. Since the thermal clothing can generate electricity by itself, users may not need to frequently charge or replace batteries, thereby reducing long-term use costs. DETAILED DESCRIPTION

[0045] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0046] Embodiment 1:

[0047] The embodiment of the present invention provides an innovative technology for intelligent temperature regulating and warming clothing, which includes the following steps:

[0048] S1. Material selection: windproof and waterproof fabrics. Choose windproof and waterproof fabrics to make the outer layer of warm clothing;

[0049] Thermal insulation materials: choose materials with high thermal insulation performance, specially designed insulation layers of down and synthetic fiber fillings;

[0050] Comfortable fabrics, choose soft, breathable, skin-friendly lining materials to ensure comfortable wearing;

[0051] An intelligent temperature control module, wherein the intelligent temperature control module further comprises a phase change material, a temperature sensor, an integrated control chip, a conductive fiber and a removable battery. The integrated control chip further comprises an interconnection and interaction module, an environmental monitoring module and an intelligent adjustment module. The interconnection and interaction module comprises Bluetooth, Wi-Fi, NFC and Zigbee. The environmental monitoring module comprises a temperature sensor. The intelligent adjustment module comprises a model prediction module and an adjustment module. Through model prediction, the intelligent temperature control and thermal insulation clothing can adjust the temperature in real time, respond to temperature changes in a timely manner, avoid users from feeling overheated or overcooled, help optimize energy use, and activate the heating function only when necessary, thereby saving energy and reducing energy consumption. The model can predict the heat demand of users at different activity levels, automatically adjust the temperature, and ensure that users are always in a comfortable state;

[0052] A thermocouple power generation module, wherein the thermocouple power generation module further comprises a thermocouple power generation board and a rectifier regulator, wherein the rectifier regulator is arranged on an integrated control chip for integrated control;

[0053] S2. Garment production: design clothing styles according to functional requirements, consider the layout of heating elements and sensors, cut the thermal fabric first, cut out the various parts of the clothing according to the design drawings, and then sew them into the basic shape of the clothing. Finally, make the fabric waterproof and windproof.

[0054] S3. Make the connecting layer, select the base fabric material that is compatible with the phase change material, which needs to have good air permeability, flexibility and adhesion with other parts of the garment, and design the multi-layer structure of the connecting layer to ensure that the phase change material is evenly distributed and can effectively store and release heat;

[0055] S3.1. Applying the phase change material to the base fabric in the form of filling or coating. For the filling form, the phase change material particles can be uniformly embedded in the pores of the base fabric. For the coating form, the phase change material solution is uniformly coated on the base fabric.

[0056] S3.2. Conductive fiber integration, fiber embedding, embedding the conductive fiber into the part of the garment that needs to be heated, fiber connection, ensuring good connection between the conductive fiber and the heating element;

[0057] S3.3. Curing treatment: If a phase change material solution is used, curing treatment is required to ensure that the material is firmly bonded to the base fabric;

[0058] S3.4. Combining the base fabric layer containing the phase change material with the thermal insulation layer and the breathable layer to form a connecting layer of a multi-layer structure, and fixing the layers of the connecting layer together using a stitching or bonding technique to ensure the stability and durability of the connecting layer;

[0059] S3.5. Phase change material encapsulation: The phase change material is filled into a specific area of ​​the connection layer, a pre-designed pocket or interlayer, and the phase change material is encapsulated using sealing materials such as silicone and hot melt adhesive to ensure its stability and safety;

[0060] S3.6. Positioning and fixing: Position and fix the prepared connecting layer on the inside of the thermal garment. This is usually done by sewing or using adhesive tape. In the area where the connecting layer contacts the human body, ensure the comfort and breathability of the material to avoid direct contact with the skin and causing discomfort.

[0061] S3.7. System test, functional test, testing the response time and temperature control ability of the heating system, durability test, testing the durability of the clothing and the stability of the smart module, user experience test, evaluating the comfort and practicality of the clothing, phase change materials can absorb or release heat within a certain temperature range, and conductive fibers can accurately control this process, so that the thermal clothing can adjust the temperature according to the external environment or user needs. Due to the combination of phase change materials and conductive fibers, the thermal clothing can be designed to be adjustable, and users can adjust the temperature according to factors such as activity level and ambient temperature;

[0062] S4. Intelligent module integration, design the circuit diagram of the intelligent control system, make the integrated control circuit board, and install the necessary electronic components, module assembly, assemble the circuit board, temperature sensor and heating element into the garment, wiring, wiring and connecting the circuit board with the heating element and other intelligent modules.

[0063] S5. Assemble the thermocouple power generation module and select the thermocouple power generation board suitable for clothing application. The power generation board should have high efficiency, low weight and good flexibility;

[0064] S5.1. Check the performance of the thermocouple power generation panel before installation to ensure that it can work normally within the expected temperature range;

[0065] S5.2. Install the thermocouple generator panel in the appropriate position of the clothing, usually in the parts with more body heat, such as the back and chest, where the temperature difference between these parts and the external environment is large and it is easier to produce a large temperature difference;

[0066] S5.3. Use sewing, gluing or other fixing methods to fix the thermocouple generator to the clothing to ensure its stability and durability, ensure heat conduction, and leave an appropriate gap between the generator and the skin to ensure that heat can be effectively transferred to the generator;

[0067] S5.4. Connect the rectifier and voltage regulator to the thermocouple power generation board to ensure that the power generated by the power generation board can be rectified and stabilized to a voltage level suitable for the control chip. Integrate the rectifier and voltage regulator into the control chip or ensure that there is a reliable connection between them so that the control chip can receive and manage the power from the thermocouple power generation board.

[0068] S5.5. Test the circuit connection. After connecting the rectifier regulator and the control chip, perform a circuit connection test to ensure that there is no short circuit or open circuit problem;

[0069] S5.6. Safety and protection measures, insulation treatment, ensure that all electrical connections are properly insulated to prevent the risk of electric shock, durability test, durability test the entire thermocouple power generation module to ensure stability and reliability in long-term use, the thermocouple can directly convert the heat generated by the thermal clothing into electrical energy, thereby realizing energy recycling, which is very beneficial to improve the energy efficiency of the thermal clothing. Through thermocouple power generation, the thermal clothing can achieve self-sufficient energy supply to a certain extent, reducing dependence on external power sources. Since the thermal clothing can generate electricity by itself, users may not need to charge or replace batteries frequently, thereby reducing long-term use costs;

[0070] S6. Install the environment monitoring module and install the temperature sensor on the thermal insulation clothing accessories to monitor the ambient temperature in real time.

[0071] The model prediction module detects the external temperature changes according to the above-mentioned temperature sensor, connects to the smart bracelet or mobile phone according to the Internet interaction module, analyzes the current and predicted ambient temperature data according to the weather temperature changes on the smart bracelet and the mobile phone, thereby predicting future temperature changes and adjusting the heating parameters accordingly.

[0072] The model prediction module includes a linear regression algorithm, which includes the following steps:

[0073] A. Data collection, obtaining historical weather temperature data and ambient temperature data from the Internet interaction module;

[0074] B. Data preprocessing, data cleaning, processing of missing values, and data standardization or normalization;

[0075] C. Feature selection, select the features that have an impact on predicting temperature changes, such as time, historical temperature, humidity and wind speed;

[0076] D. Model training, use historical data to train the linear regression model and adjust the parameters to obtain the best prediction performance. This is usually done by minimizing the sum of squares of the error terms, that is, minimizing the loss function:

[0077]

[0078] Among them, n represents the number of samples, that is, the total number of observations in the data set, and y i represents the actual temperature of the i-th observation, β0 represents the intercept term, which is a constant term in the model that does not depend on any independent variable, β1, β2,,, β n , represents the model parameters, corresponding to each independent variable x i1 , x i2 ,,,x in The coefficient of x i1 , x i2 ,,,x in Represents the independent variable value of the ith observation, ∈ represents the error term, that is, the difference between the model prediction value and the actual observation value. The summation symbol ∑ in the formula represents the accumulation of all n observations, that is, calculating the sum of squares of the prediction errors of all observations. The goal is to minimize this sum, so as to find the best model parameters so that the predicted value is as close to the actual observation value as possible. The model prediction can predict the user's needs based on multiple factors such as personal body temperature, activity level, ambient temperature, etc., thereby providing personalized temperature regulation and improving the wearer's comfort. The durability of phase change materials and conductive fibers ensures the long-term use of thermal clothing and reduces the frequency of replacement. Conductive fibers can be designed to be within a safe operating temperature range to avoid the risk of overheating or electric shock and improve safety of use.

[0079] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Intelligent temperature regulating and warm clothing clothing innovation technology, characterized by: The following steps are involved: S1. Material selection: windproof and waterproof fabrics. Choose windproof and waterproof fabrics to make the outer layer of warm clothing; Thermal insulation materials: choose materials with high thermal insulation performance, specially designed insulation layers of down and synthetic fiber fillings; Comfortable fabrics, choose soft, breathable, skin-friendly lining materials to ensure comfortable wearing; An intelligent temperature control module, wherein the intelligent control module further comprises a phase change material, a temperature sensor, an integrated control chip, a conductive fiber and a removable battery, wherein the integrated control chip further comprises an interconnection and interaction module, an environmental monitoring module and an intelligent adjustment module, wherein the interconnection and interaction module comprises Bluetooth, Wi-Fi, NFC and Zigbee, wherein the environmental monitoring module comprises a temperature sensor, and wherein the intelligent adjustment module comprises a model prediction module and an adjustment module; A thermocouple power generation module, wherein the thermocouple power generation module further comprises a thermocouple power generation board and a rectifier regulator, wherein the rectifier regulator is arranged on an integrated control chip for integrated control; S2. Garment production: design clothing styles according to functional requirements, consider the layout of heating elements and sensors, cut the thermal fabric first, cut out the various parts of the clothing according to the design drawings, and then sew them into the basic shape of the clothing. Finally, make the fabric waterproof and windproof. S3. Make the connecting layer, select the base fabric material that is compatible with the phase change material, which needs to have good air permeability, flexibility and adhesion with other parts of the garment, and design the multi-layer structure of the connecting layer to ensure that the phase change material is evenly distributed and can effectively store and release heat; S3.

1. Applying the phase change material to the base fabric in the form of filling or coating. For the filling form, the phase change material particles can be uniformly embedded in the pores of the base fabric. For the coating form, the phase change material solution is uniformly coated on the base fabric. S3.

2. Conductive fiber integration, fiber embedding, embedding the conductive fiber into the part of the garment that needs to be heated, fiber connection, ensuring good connection between the conductive fiber and the heating element; S3.

3. Curing treatment: If a phase change material solution is used, curing treatment is required to ensure that the material is firmly bonded to the base fabric; S3.

4. Combining the base fabric layer containing the phase change material with the thermal insulation layer and the breathable layer to form a connecting layer of a multi-layer structure, and fixing the layers of the connecting layer together using a stitching or bonding technique to ensure the stability and durability of the connecting layer; S3.

5. Phase change material encapsulation: The phase change material is filled into a specific area of ​​the connection layer, a pre-designed pocket or interlayer, and the phase change material is encapsulated using sealing materials such as silicone and hot melt adhesive to ensure its stability and safety; S3.

6. Positioning and fixing: Position and fix the prepared connecting layer on the inside of the thermal garment. This is usually done by sewing or using adhesive tape. In the area where the connecting layer contacts the human body, ensure the comfort and breathability of the material to avoid direct contact with the skin and causing discomfort. S3.

7. System test, functional test, testing the response time and temperature control ability of the heating system, durability test, testing the durability of the clothing and the stability of the smart module, user experience test, evaluating the comfort and practicality of the clothing; S4. Intelligent module integration, design the circuit diagram of the intelligent control system, make the integrated control circuit board, and install the necessary electronic components, module assembly, assemble the circuit board, temperature sensor and heating element into the garment, wiring, wiring and connecting the circuit board with the heating element and other intelligent modules. S5. Assemble the thermocouple power generation module and select the thermocouple power generation board suitable for clothing application. The power generation board should have high efficiency, low weight and good flexibility; S5.

1. Check the performance of the thermocouple power generation panel before installation to ensure that it can work normally within the expected temperature range; S5.

2. Install the thermocouple generator panel in the appropriate position of the clothing, usually in the parts with more body heat, such as the back and chest, where the temperature difference between these parts and the external environment is large and it is easier to produce a large temperature difference; S5.

3. Use sewing, gluing or other fixing methods to fix the thermocouple generator to the clothing to ensure its stability and durability, ensure heat conduction, and leave an appropriate gap between the generator and the skin to ensure that heat can be effectively transferred to the generator; S5.

4. Connect the rectifier and voltage regulator to the thermocouple power generation board to ensure that the power generated by the power generation board can be rectified and stabilized to a voltage level suitable for the control chip. Integrate the rectifier and voltage regulator into the control chip or ensure that there is a reliable connection between them so that the control chip can receive and manage the power from the thermocouple power generation board. S5.

5. Test the circuit connection. After connecting the rectifier regulator and the control chip, perform a circuit connection test to ensure that there is no short circuit or open circuit problem; S5.

6. Safety and protection measures: Insulation treatment: Ensure that all electrical connections are properly insulated to prevent the risk of electric shock; Durability test: Perform durability test on the entire thermocouple power generation module to ensure stability and reliability in long-term use; S6. Install the environment monitoring module and install the temperature sensor on the thermal insulation clothing accessories to monitor the ambient temperature in real time.

2. The innovative technology of intelligent temperature regulating and warm clothing according to claim 1 is characterized by: The model prediction module detects the external temperature changes according to the above-mentioned temperature sensor, connects to the smart bracelet or mobile phone according to the Internet interaction module, analyzes the current and predicted ambient temperature data according to the weather temperature changes on the smart bracelet and the mobile phone, thereby predicting future temperature changes and adjusting the heating parameters accordingly.

3. The innovative technology of intelligent temperature regulating and warm clothing according to claim 1 is characterized by: The model prediction module includes a linear regression algorithm, which includes the following steps: A. Data collection, obtaining historical weather temperature data and ambient temperature data from the Internet interaction module; B. Data preprocessing, data cleaning, processing of missing values, and data standardization or normalization; C. Feature selection, select the features that have an impact on predicting temperature changes, such as time, historical temperature, humidity and wind speed; D. Model training, use historical data to train the linear regression model and adjust the parameters to obtain the best prediction performance. This is usually done by minimizing the sum of squares of the error terms, that is, minimizing the loss function: Among them, n represents the number of samples, that is, the total number of observations in the data set, and y i represents the actual temperature of the i-th observation, β0 represents the intercept term, which is a constant term in the model that does not depend on any independent variable, β1, β2,,, β n , represents the model parameters, corresponding to each independent variable x i1 , x i2 ,,,x in The coefficient of x i1 , x i2 ,,,x in Represents the independent variable value of the i-th observation, ∈ represents the error term, that is, the difference between the model predicted value and the actual observed value. The summation symbol ∑ in the formula represents the accumulation of all n observations, that is, calculating the sum of squares of the prediction errors of all observations. The goal is to minimize this sum, so as to find the best model parameters so that the predicted value is as close as possible to the actual observed value.