Sandwich heat preservation type solar building integrated wall

Abstract

The invention discloses a sandwich thermal insulation type solar building integrated wall, and relates to the technical field of building wall bodies, the sandwich thermal insulation type solar building integrated wall comprises a wall body, the side surface of the wall body is provided with a solar panel, the inner side of the wall body is provided with an inner cavity, the inner side of the inner cavity is slidably provided with a thermal insulation layer, the inner side of the thermal insulation layer is provided with a phase change material plate, and the side surface of the thermal insulation layer is provided with a heating sheet; cooling equipment is installed on the side face of the wall body, an exhaust pipe is installed at the output end of the cooling equipment, the exhaust pipe is communicated with the inner cavity, energy storage equipment is installed on the side face of the wall body, the solar panel receives solar energy and converts the solar energy into electric energy, and the electric energy is stored through the energy storage equipment; solar energy is converted into electric energy through the solar panel, the electric energy is stored through the energy storage equipment, efficient utilization of energy is achieved, then the indoor and outdoor temperature is automatically detected through the control system, the heating piece and the cooling equipment automatically adjust the temperature of the heat preservation layer through the electric energy of the energy storage equipment, and intelligent regulation and control are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of building walls, and in particular to a sandwich thermal insulation type solar building integrated wall. Background Art

[0002] A sandwich thermal insulation wall is a composite wall structure in which thermal insulation materials are placed between two walls (usually referred to as the inner leaf wall and the outer leaf wall), which blocks the heat transfer between indoors and outdoors and improves the thermal insulation performance of the wall.

[0003] After retrieval, the invention patent with the Chinese patent number CN116290465A discloses a double sandwich aerogel thermal insulation precast wall. Compared with the prior art, the precast wall provided by this invention patent with the Chinese patent number CN116290465A places the thermal insulation materials between the outer wall and the inner wall, and uses wire mesh layout, without the need to use mortar, and does not fall off after long-term use, reducing the later installation process, effectively saving labor costs and improving construction efficiency. However, in the actual use process of the above device, once the thermal insulation layer is installed, its thermal insulation performance is relatively fixed and not easy to be adjusted according to the changes of indoor and outdoor environments. This leads to that in extreme weather conditions, the thermal insulation layer may not provide sufficient heat preservation or heat insulation effect, thus affecting the living comfort. Therefore, a sandwich thermal insulation type solar building integrated wall is proposed. Summary of the Invention

[0004] The purpose of the present invention is to solve the disadvantages that the thermal insulation performance is relatively fixed in the prior art and not easy to be adjusted according to the changes of indoor and outdoor environments, and to propose a sandwich thermal insulation type solar building integrated wall.

[0005] In order to achieve the above purpose, the present invention adopts the following technical scheme: A sandwich thermal insulation type solar building integrated wall, including a wall, a solar panel is installed on the side of the wall, an inner cavity is opened on the inner side of the wall, a thermal insulation layer is slidably arranged on the inner side of the inner cavity, a phase change material board is installed on the inner side of the thermal insulation layer, a heating sheet is installed on the side of the thermal insulation layer, a cooling device is installed on the side of the wall, an exhaust pipe is installed at the output end of the cooling device, and the exhaust pipe is communicated with the inner cavity. An energy storage device is installed on the side of the wall. After the solar panel receives solar energy, it is converted into electric energy and stored through the energy storage device to achieve efficient utilization of energy. After the heating sheet is started, it generates heat to raise the temperature of the thermal insulation layer. Heating the thermal insulation layer can make it play a better heat preservation role in winter and reduce heat loss. After the cooling device is started, it generates cold air and blows it towards the thermal insulation layer on the inner side of the inner cavity through the exhaust pipe to cool the thermal insulation layer. Cooling the thermal insulation layer can effectively prevent the heat from the outside from entering; A separation component for two thermal insulation layers is provided on the wall. The separation component includes a servo motor and an inflation device mounted on the side of the wall, air bags symmetrically mounted on the inner side of the cavity, a threaded rod mounted on the output end of the servo motor, and sliding blocks symmetrically and slidably arranged on the inner side of the cavity. The two sliding blocks are fixedly connected to the two thermal insulation layers respectively, and both sliding blocks are threadedly connected to the threaded rod. After the inflation device is started, the air bags deflate. After the servo motor is started, it drives the threaded rod to rotate. The force generated when the threaded rod rotates drives the two thermal insulation layers to separate through the two sliding blocks, which can increase the contact area between the thermal insulation layer and the air and help the hot air escape. A control system is provided on the wall. The control system includes: An environmental monitoring module for collecting data in real time. The data includes indoor and outdoor temperature data and the temperature data of the thermal insulation layer; A control module for receiving the data transmitted by the environmental monitoring module, analyzing it through machine learning algorithms to evaluate the thermal insulation performance of the wall and the change trend of indoor and outdoor environmental conditions, and generating control instructions through PID control algorithms; A communication module for receiving the control instructions of the control module and transmitting the control instructions to the servo motor, inflation device, heating sheet, and cooling device.

[0006] The above technical solution further includes: An inflation pipe is mounted on the output end of the inflation device. The end of the inflation pipe extending to the inner side of the cavity is fixedly connected to the two air bags. The inflation device realizes inflation and deflation of the air bags through the inflation pipe.

[0007] A plurality of circular grooves are symmetrically formed on the inner side of the cavity. When the air bags are inflated, they are in contact with the inner wall of the cavity. After the air bags deflate, they no longer block the circular grooves, which helps the hot air escape.

[0008] A sliding groove is formed on the inner side of the cavity. The threaded rod is rotatably connected to the inner side of the sliding groove. The two sliding blocks are both slidably arranged on the inner side of the sliding groove. The size of the opening of the sliding groove is adapted to the size of the sliding blocks. The rotation of the threaded rod helps the two sliding blocks to move towards each other.

[0009] A housing is mounted on the side of the wall. The servo motor, inflation device, cooling device, and energy storage device are all inside the housing to protect the servo motor, inflation device, cooling device, and energy storage device.

[0010] The environmental monitoring module includes a sensor unit and a data transmission unit. The data sensor unit can monitor the temperature changes of indoor and outdoor and the temperature changes of the thermal insulation layer in real time. The data sensor unit includes a plurality of temperature sensors. The data transmission unit receives the monitoring data of the sensor unit wirelessly.

[0011] The control module includes a data preprocessing unit, a data analysis unit, and a control instruction generation unit. The data preprocessing unit performs filtering and denoising preprocessing operations on the data from the environmental monitoring module to improve the accuracy and reliability of the data. The data analysis unit analyzes the processed data according to machine learning algorithms to identify key information such as the temperature of the insulation layer and the temperature difference between indoors and outdoors. The control instruction generation unit generates corresponding control strategies based on the analysis results of the data analysis unit and the PID control algorithm.

[0012] The machine learning algorithm uses a convolutional neural network as the basic architecture and inputs the data into the neural network model for model training, including the following steps: Initialization: Construct the model: Construct a predefined neural network model architecture; Initialize the parameters: The weights and biases of the model are initialized to small random numbers and initialized based on the Gaussian distribution; Set the optimizer: Select the Adam optimizer to automatically adjust the learning rate; Training loop: Iteratively train the data: Divide the training dataset into multiple batches, each batch containing a fixed number of samples. For each batch, perform the following steps: Forward propagation: Calculate the predicted output for each sample, , where, is the input data, are the model parameters, is the model function, is the predicted output; Calculate the loss: Use the loss function to calculate the error between the predicted output and the true label, , where M is the number of output samples and N is the number of samples in the batch, is the loss of a single sample, is the actual output; Backward propagation: Calculate the gradient of the loss function with respect to the model parameters through the chain rule, , where, is a vector containing the partial derivatives of the loss function with respect to all parameters ; Update the parameters: Use the Adam optimizer to update the model parameters according to the gradient, , where, is the learning rate, is the update rule of the Adam optimizer; The analysis process of the data analysis unit is as follows: Data input: Input the data preprocessed by the data preprocessing unit into the trained convolutional neural network model; Model calculation: The convolutional neural network model will perform calculations based on the input data and output analysis results, including the performance evaluation of the insulation layer and the change in the indoor-outdoor temperature difference.

[0013] The algorithm formula of the PID control algorithm is: Among them, u(t): control output, that is, the control signal calculated by the PID controller according to the error; e(t): current error, that is, the difference between the set value and the actual value; Kp: proportional gain, which determines the influence degree of the error on the current output; Ki: integral gain, used to eliminate the steady-state error, achieved by integrating the error; Kd: derivative gain, used to predict the change trend of the error and make adjustments in advance to suppress system oscillation.

[0014] The control strategy of the control instruction generation unit is: When the outdoor temperature is lower than the set temperature range, generate an instruction to start the heating element; When the outdoor temperature is higher than the set temperature range, generate an instruction to start the cooling device; According to the change trend of the indoor-outdoor temperature difference, adjust the power of the heating or cooling system to maintain the stability of the indoor temperature.

[0015] The present invention has the following beneficial effects: 1. In the present invention, solar energy is converted into electrical energy by the solar panel and stored through the energy storage device to achieve efficient utilization of energy. Then, the indoor and outdoor temperatures are automatically detected by the control system, and the heating element and the cooling device automatically adjust the temperature of the insulation layer through the electrical energy of the energy storage device to achieve intelligent control. Heating the insulation layer can make it better play the role of heat preservation in winter, reduce heat dissipation, and thus improve the heat preservation performance of the wall. Cooling the insulation layer can effectively prevent the outdoor heat from entering and reduce the indoor temperature, improving the heat insulation effect of the wall.

[0016] 2. In the present invention, by setting the separation component, the contact area between the insulation layer and the air can be increased, which helps to quickly heat and cool the insulation layer. Description of the Drawings

[0017] Figure 1 It is a schematic diagram of the overall side sectional structure of a sandwich insulation type solar building integrated wall proposed by the present invention; Figure 2 It is a schematic diagram of the overall structure in the present invention; Figure 3 Schematic diagram of the control system in the present invention; Figure 4 is Figure 1 Enlarged schematic diagram of the structure at position A in; Figure 5 is Figure 1 Enlarged schematic diagram of the structure at position B in; Figure 6 is Figure 1 Enlarged schematic diagram of the structure at position C in.

[0018] In the figure: 1, wall; 2, solar panel; 3, inner cavity; 4, insulation layer; 5, phase change material board; 6, heating sheet; 7, airbag; 8, circular groove; 9, sliding groove; 10, threaded rod; 11, sliding block; 12, servo motor; 13, inflation device; 14, inflation pipe; 15, cooling device; 16, exhaust pipe; 17, energy storage device; 18, housing; 19, environmental monitoring module; 20, control module; 21, communication module. Specific embodiments

[0019] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described 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 the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0020] As Figure 1 - Figure 6 shown, a sandwich insulation type solar building integrated wall proposed by the present invention includes a wall 1, a solar panel 2 is installed on the side of the wall 1, an inner cavity 3 is opened on the inner side of the wall 1, an insulation layer 4 is slidably arranged on the inner side of the inner cavity 3, a phase change material board 5 is installed on the inner side of the insulation layer 4, a heating sheet 6 is installed on the side of the insulation layer 4, a cooling device 15 is installed on the side of the wall 1, an exhaust pipe 16 is installed at the output end of the cooling device 15, and the exhaust pipe 16 is communicated with the inner cavity 3. An energy storage device 17 is installed on the side of the wall 1. After the solar panel 2 receives solar energy, it is converted into electric energy and stored through the energy storage device 17 to achieve efficient utilization of energy. After the heating sheet 6 is started, heat is generated to raise the temperature of the insulation layer 4. Heating the insulation layer 4 can make it play a better insulation role in winter and reduce heat dissipation. After the cooling device 15 is started, cold air is generated and blown through the exhaust pipe 16 to the insulation layer 4 on the inner side of the inner cavity 3 to cool the insulation layer 4. Cooling the insulation layer 4 can effectively prevent the heat from the outside from entering; On the wall 1, a separation component for two insulation layers 4 is provided. The separation component includes a servo motor 12 and an inflation device 13 mounted on the side of the wall 1, air bags 7 symmetrically mounted on the inner side of the inner cavity 3, a threaded rod 10 mounted on the output end of the servo motor 12, and sliding blocks 11 symmetrically and slidably arranged on the inner side of the inner cavity 3. The two sliding blocks 11 are fixedly connected to the two insulation layers 4 respectively, and both sliding blocks 11 are threadedly connected to the threaded rod 10. After the inflation device 13 is started, the air bags 7 deflate. After the servo motor 12 is started, it drives the threaded rod 10 to rotate. The force generated when the threaded rod 10 rotates drives the two insulation layers 4 to separate through the two sliding blocks 11, which can increase the contact area between the insulation layer 4 and the air. A control system is provided on the wall 1, and the control system includes: An environmental monitoring module 19 for collecting data in real time. The data includes indoor and outdoor temperature data and the temperature data of the insulation layer 4; A control module 20 for receiving the data transmitted by the environmental monitoring module 19, analyzing it through a machine learning algorithm to evaluate the heat insulation performance of the wall 1 and the change trend of the indoor and outdoor environmental conditions, and generating a control instruction through a PID control algorithm; A communication module 21 for receiving the control instruction of the control module 20 and transmitting the control instruction to the servo motor 12, the inflation device 13, the heating sheet 6, and the cooling device 15.

[0021] The above technical solution further includes: An inflation pipe 14 is mounted on the output end of the inflation device 13. One end of the inflation pipe 14 extending to the inner side of the inner cavity 3 is fixedly connected to the two air bags 7. The inflation device 13 realizes inflation and deflation of the air bags 7 through the inflation pipe 14.

[0022] A plurality of circular grooves 8 are symmetrically formed on the inner side of the inner cavity 3. When the air bags 7 are inflated, they are in contact with the inner wall of the inner cavity 3. After the air bags 7 deflate, they no longer block the circular grooves 8, which helps the hot air to escape.

[0023] A sliding groove 9 is formed on the inner side of the inner cavity 3. The threaded rod 10 is rotatably connected to the inner side of the sliding groove 9. Both sliding blocks 11 are slidably arranged on the inner side of the sliding groove 9. The size of the opening of the sliding groove 9 is adapted to the size of the sliding blocks 11. The rotation of the threaded rod 10 helps the two sliding blocks 11 to move towards each other.

[0024] A housing 18 is mounted on the side of the wall 1. The servo motor 12, the inflation device 13, the cooling device 15, and the energy storage device 17 are all located inside the housing 18 to protect the servo motor 12, the inflation device 13, the cooling device 15, and the energy storage device 17.

[0025] The environmental monitoring module 19 includes a sensor unit and a data transmission unit. The data sensor unit can monitor the temperature changes inside and outside the room and the temperature change of the thermal insulation layer 4 in real time. The data sensor unit includes multiple temperature sensors, and the data transmission unit receives the monitoring data of the sensor unit wirelessly.

[0026] The control module 20 includes a data preprocessing unit, a data analysis unit, and a control instruction generation unit. The data preprocessing unit performs filtering and denoising preprocessing operations on the data of the environmental monitoring module 19 to improve the accuracy and reliability of the data. The data analysis unit analyzes the processed data according to the machine learning algorithm to identify the key information of the temperature of the thermal insulation layer 4 and the temperature difference between inside and outside the room. The control instruction generation unit generates corresponding control strategies according to the analysis results of the data analysis unit and the PID control algorithm.

[0027] The machine learning algorithm uses a convolutional neural network as the basic architecture and inputs the data into the neural network model for model training, including the following steps: Initialization: Build the model: Build a defined neural network model architecture; Initialize the parameters: The weights and biases of the model are initialized to small random numbers and initialized based on the Gaussian distribution; Set the optimizer: Select the Adam optimizer to automatically adjust the learning rate; Training loop: Iteratively train the data: Divide the training dataset into multiple batches, each batch containing a fixed number of samples. For each batch, perform the following steps: Forward propagation: Calculate the predicted output of each sample, , where, is the input data, are the model parameters, is the model function, is the predicted output; Calculate the loss: Use the loss function to calculate the error between the predicted output and the true label, , where M is the number of output samples and N is the number of samples in the batch, is the loss of a single sample, is the actual output; Backward propagation: Calculate the gradient of the loss function with respect to the model parameters through the chain rule, , where, is a vector containing the partial derivatives of the loss function with respect to all parameters ; Update the parameters: Use the Adam optimizer to update the model parameters according to the gradient, , where, is the learning rate, is the update rule of the Adam optimizer; The analysis process of the data analysis unit is as follows: Data input: Input the data preprocessed by the data preprocessing unit into the trained convolutional neural network model; Model calculation: The convolutional neural network model will calculate based on the input data and output the analysis results, including the performance evaluation of the insulation layer 4 and the change of the indoor-outdoor temperature difference.

[0028] The algorithm formula of the PID control algorithm is: where, u(t): control output, that is, the control signal calculated by the PID controller according to the error; e(t): current error, that is, the difference between the set value and the actual value; Kp: proportional gain, which determines the influence degree of the error on the current output; Ki: integral gain, which is used to eliminate the steady-state error and is achieved by integrating the error; Kd: derivative gain, which is used to predict the change trend of the error and make adjustments in advance to suppress system oscillation.

[0029] The control strategy of the control instruction generation unit is: When the outdoor temperature is lower than the set temperature range, generate an instruction to start the heating sheet 6; When the outdoor temperature is higher than the set temperature range, generate an instruction to start the cooling device 15, and adjust the power of the heating or cooling system according to the change trend of the indoor-outdoor temperature difference to maintain the stability of the indoor temperature.

[0030] In this embodiment, when the wall 1 is working, it first absorbs solar energy through the solar panel 2 and then converts it into electrical energy for storage through the energy storage device 17. At the same time, the heat insulation effect is achieved through the heat insulation layer 4. When the heat insulation layer 4 is achieving the heat insulation effect, the phase change material board 5 can absorb or release the heat of the heat insulation layer 4 at a specific temperature, thereby initially adjusting the temperature of the heat insulation layer 4. At the same time, the indoor and outdoor temperatures, as well as the temperature of the heat insulation layer 4, can be monitored in real time through the environmental monitoring module 19, and then transmitted to the control module 20. The control module 20 processes and analyzes the data transmitted by the environmental monitoring module 19, then evaluates the heat insulation performance of the wall 1 and the changing trends of the indoor and outdoor environmental conditions, and generates control instructions. When the outdoor temperature is low, an instruction to start the heating sheet 6 is generated and transmitted to the heating sheet 6 through the communication module 21. The heating sheet 6 heats the heat insulation layer 4 with the electrical energy of the energy storage device 17. Heating the heat insulation layer 4 can enable it to better play the heat preservation role in winter, reduce the loss of heat, and thus improve the heat insulation performance of the wall 1. When the outdoor temperature is high, an instruction to start the cooling device 15 is generated and transmitted to the cooling device 15 through the communication module 21. The cooling device 15 operates with the electrical energy of the energy storage device 17. When working, it generates cold air, which is then discharged through the exhaust pipe 16 onto the heat insulation layer 4 inside the inner cavity 3, so that the heat insulation layer 4 is cooled. Cooling the heat insulation layer 4 can effectively prevent the entry of outdoor heat, reduce the indoor temperature, and improve the heat insulation effect of the wall 1; Before the cooling device 15 and the heating sheet 6 are started, an instruction is transmitted to the servo motor 12 and the inflation device 13 through the communication module 21, and the servo motor 12 and the inflation device 13 are started simultaneously. After the inflation device 13 is started, it sucks the air in the airbag 7 through the air filling pipe 14. Then the servo motor 12 drives the threaded rod 10 to rotate. The acting force generated when the threaded rod 10 rotates drives the two sliding blocks 11 to move towards each other, and at the same time drives the two heat insulation layers 4 to move towards each other, so that the two heat insulation layers 4 no longer contact each other, increasing the contact area between the heat insulation layer 4 and the air. And after the airbag 7 deflates, the circular groove 8 is exposed, which helps air flow and facilitates the rapid cooling and heating of the heat insulation layer 4.

[0031] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A sandwich thermal insulation solar building integrated wall, comprising a wall (1), characterized in that: A solar panel (2) is installed on the side of the wall (1); an inner cavity (3) is provided on the inner side of the wall (1); an insulation layer (4) is slidably provided on the inner side of the inner cavity (3); a phase change material plate (5) is installed on the inner side of the insulation layer (4); a heating plate (6) is installed on the side of the insulation layer (4); a cooling device (15) is installed on the side of the wall (1); an exhaust pipe (16) is installed at the output end of the cooling device (15); the exhaust pipe (16) and the inner cavity (3) are connected; an energy storage device (17) is installed on the side of the wall (1); the solar panel (2) receives solar energy and converts it into electrical energy and stores it through the energy storage device (17); the heating plate (6) generates heat when it is activated to heat up the insulation layer (4); and the cooling device (15) generates cold air when it is activated and blows it toward the insulation layer (4) inside the inner cavity (3) through the exhaust pipe (16) to cool the insulation layer (4); The wall (1) is provided with a separation component for two insulation layers (4), the separation component comprising a servo motor (12) and an inflation device (13) mounted on the side of the wall (1), an air bag (7) symmetrically mounted on the inner side of the inner cavity (3), a threaded rod (10) mounted on the output end of the servo motor (12), and a sliding block (11) symmetrically slidably mounted on the inner side of the inner cavity (3), the two sliding blocks (11) being respectively fixedly connected to the two insulation layers (4), the two sliding blocks (11) being threadedly connected to the threaded rod (10), the inflation device (13) being activated to deflate the air bag (7), the servo motor (12) being activated to drive the threaded rod (10) to rotate, the force generated by the rotation of the threaded rod (10) driving the two insulation layers (4) to separate through the two sliding blocks (11), and the wall (1) being provided with a control system, the control system comprising: An environmental monitoring module (19) is used to collect data in real time, the data including indoor and outdoor temperature data, and temperature data of the insulation layer (4); A control module (20) is used to receive data transmitted by the environmental monitoring module (19), analyze the data using a machine learning algorithm to evaluate the thermal insulation performance of the wall (1) and the changing trends of indoor and outdoor environmental conditions, and generate control instructions using a PID control algorithm; The communication module (21) is used to receive control instructions from the control module (20) and transmit the control instructions to the servo motor (12), the inflation device (13), the heating plate (6) and the cooling device (15).

2. A sandwich thermal insulation solar building integrated wall according to claim 1, characterized in that: An inflation tube (14) is installed at the output end of the inflation device (13); one end of the inflation tube (14) extending to the inner side of the inner cavity (3) is fixedly connected to the two air bags (7).

3. A sandwich thermal insulation solar building integrated wall according to claim 2, characterized in that: A plurality of circular grooves (8) are symmetrically provided on the inner side of the inner cavity (3); the airbag (7) fits against the inner wall of the inner cavity (3) when inflated.

4. The sandwich thermal insulation solar building integrated wall according to claim 1, characterized in that: A sliding groove (9) is provided on the inner side of the inner cavity (3), the threaded rod (10) is rotatably connected to the inner side of the sliding groove (9), and the two sliding blocks (11) are both slidably arranged on the inner side of the sliding groove (9), and the size of the opening of the sliding groove (9) is adapted to the size of the sliding blocks (11).

5. The sandwich thermal insulation solar building integrated wall according to claim 1, characterized in that: A shell (18) is installed on the side of the wall (1), and the servo motor (12), the inflation device (13), the cooling device (15) and the energy storage device (17) are all located on the inner side of the shell (18).

6. The sandwich thermal insulation solar building integrated wall according to claim 1, characterized in that: The environmental monitoring module (19) comprises a sensor unit and a data transmission unit. The data sensor unit is capable of monitoring indoor and outdoor temperature changes and temperature changes of the insulation layer (4) in real time. The data sensor unit comprises a plurality of temperature sensors. The data transmission unit receives monitoring data from the sensor unit in a wireless manner.

7. The sandwich thermal insulation solar building integrated wall according to claim 1, characterized in that: The control module (20) comprises a data preprocessing unit, a data analysis unit and a control instruction generation unit. The data preprocessing unit performs filtering and denoising preprocessing operations on the data of the environment monitoring module (19). The data analysis unit analyzes the processed data according to a machine learning algorithm to identify key information such as the temperature of the insulation layer (4) and the indoor and outdoor temperature difference. The control instruction generation unit generates a corresponding control strategy according to the analysis result of the data analysis unit and the PID control algorithm.

8. The sandwich thermal insulation solar building integrated wall according to claim 7, characterized in that: The machine learning algorithm uses a convolutional neural network as the basic architecture and inputs data into the neural network model for model training, including the following steps: initialization: Build a model: Build a defined neural network model architecture; Initialization parameters: The weights and biases of the model are initialized to small random numbers based on Gaussian distribution; Set the optimizer: Select the Adam optimizer to automatically adjust the learning rate; Training loop: Iterate over training data: Divide the training dataset into batches, each batch contains a fixed number of samples, and for each batch, perform the following steps: Forward propagation: calculate the predicted output for each sample, ,in, is the input data, are model parameters, is the model function, is the predicted output; Calculate loss: Use the loss function to calculate the error between the predicted output and the true label. , where M is the number of output samples and N is the number of samples in the batch. is the loss of a single sample, is the actual output; Back propagation: Calculate the gradient of the loss function with respect to the model parameters through the chain rule, ,in, is a vector containing the loss function For all parameters The partial derivative of Update parameters: Use the Adam optimizer to update model parameters according to the gradient. ,in, is the learning rate, is the update rule of the Adam optimizer; The analysis process of the data analysis unit is: Data input: Input the data preprocessed by the data preprocessing unit into the trained convolutional neural network model; Model calculation: The convolutional neural network model will perform calculations based on the input data and output analysis results, which include performance evaluation of the insulation layer (4) and changes in the indoor and outdoor temperature difference.

9. The sandwich thermal insulation solar building integrated wall according to claim 7, characterized in that: The algorithm formula of the PID control algorithm is: Among them, u(t): control output, that is, the control signal calculated by the PID controller based on the error; e(t): current error, that is, the difference between the set value and the actual value; Kp: Proportional gain, which determines the influence of the error on the current output; Ki: integral gain, used to eliminate steady-state error; Kd: Differential gain, used to predict the changing trend of the error.

10. The sandwich thermal insulation solar building integrated wall according to claim 7, characterized in that: The control strategy of the control instruction generating unit is: When the outdoor temperature is lower than the set temperature range, a command is generated to start the heating plate (6); When the outdoor temperature is higher than the set temperature range, a command to start the cooling device (15) is generated.

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