Water electrolysis hydrogen production temperature control system based on remote monitoring

Abstract

The invention discloses a water electrolysis hydrogen production temperature control system based on remote monitoring, and relates to the technical field of water electrolysis hydrogen production control, the system comprises a temperature data collection unit, the temperature data collection unit determines proper temperature range information of water electrolysis hydrogen production operation in different electrolyte and catalyst environments through a literature searching method, and the temperature data collection unit determines the temperature range information of the water electrolysis hydrogen production operation in different electrolyte and catalyst environments. And in combination with the set water electrolysis hydrogen production environment, proper temperature range information of water electrolysis hydrogen production is determined, and temperature monitoring data are collected in real time when water electrolysis hydrogen production is started. According to the water electrolysis hydrogen production temperature control system based on remote monitoring, an electrolyte type-catalyst type-appropriate temperature range combination is constructed through the arranged temperature data collection unit, and the appropriate temperature range information of water electrolysis hydrogen production is determined in combination with the arranged water electrolysis hydrogen production environment; and temperature monitoring data can be collected in real time.

Description

Technical Field

[0001] The invention relates to the technical field of electrolytic hydrogen production control, and in particular to a temperature control system for electrolytic hydrogen production based on remote monitoring. Background Art

[0002] Hydrogen production is an important energy technology because hydrogen is a clean and efficient fuel that can be used in power generation, transportation and other fields. The Chinese patent with application number 202410709371.0 discloses "a temperature control method, device, equipment and storage medium for hydrogen production by electrolysis of water, belonging to the technical field of hydrogen production control by electrolysis, wherein the method comprises: calculating the temperature deviation and the deviation change rate according to the real-time temperature of the electrolyzed water and the preset temperature range, fuzzifying the temperature deviation and the deviation change rate to obtain fuzzy subsets and membership, calculating the temperature control fuzzy value according to the fuzzy subset, the membership and the preset fuzzy rule base, defuzzifying the temperature control fuzzy value to generate a control signal to control the temperature of the electrolyzed water, the present invention determines the temperature deviation and the deviation change rate of the real-time temperature of the electrolyzed water and the preset temperature range, performs fuzzy processing to obtain fuzzy subsets and membership, thereby calculating the temperature control fuzzy value to generate a control signal, and can also determine the temperature control fuzzy value to adjust the temperature of the electrolyzed water after the electrolysis environment changes, thereby achieving instant adjustment of the temperature of the electrolyzed water.";

[0003] This prior art only solves the problem that the electrolysis environment will change during actual operation of the prior art, and the control model cannot be adjusted in time, thus making it difficult to meet the high-precision temperature control requirements. It does not take into account that when temperature control is performed on hydrogen production by electrolysis of water, the appropriate temperature range of the electrolysis environment and the catalyst should be determined first, so that the efficiency of hydrogen production by electrolysis of water can be maximized, and it is necessary to adjust the deviation between the real-time hydrogen production environment by electrolysis of water and the appropriate temperature range by setting temperature adjustment. When temperature adjustment is performed through a heat exchanger, consideration should be given to improving the heat exchange efficiency of the heat exchanger, so that the efficiency of hydrogen production by electrolysis of water can be maximized in the shortest time, and feedback on the temperature adjustment results is required. Summary of the invention

[0004] The purpose of the present invention is to provide a temperature control system for producing hydrogen by electrolysis of water based on remote monitoring, so as to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical scheme: a temperature control system for hydrogen production by electrolysis of water based on remote monitoring, comprising a temperature data collection unit, wherein the temperature data collection unit determines the appropriate temperature range information of hydrogen production by electrolysis of water in different electrolyte and catalyst environments by searching the literature, and determines the appropriate temperature range information of hydrogen production by electrolysis of water in combination with the set hydrogen production by electrolysis of water environment, and collects the temperature monitoring data in real time when hydrogen production by electrolysis of water starts;

[0006] An intelligent temperature regulating unit, wherein the intelligent temperature regulating unit constructs a temperature regulating network based on a neural network combined with a PID algorithm, and adaptively adjusts PID parameters by simulating the temperature regulating network, thereby optimizing the performance of the temperature regulating network, and outputting a temperature regulating result through the optimized temperature regulating network;

[0007] A heat exchange simulation unit, which implements temperature regulation operation by heat exchange based on the temperature regulation result output by the temperature regulation network, and determines the optimal operating parameters of the heat exchanger by modeling and simulating the heat exchanger before actual operation, thereby improving the heat exchange efficiency of the heat exchanger, and controlling the heat exchanger to perform temperature regulation operation based on the simulation result;

[0008] The electrolysis temperature monitoring unit monitors and collects the temperature data of the water electrolysis hydrogen production environment after temperature adjustment, and compares it with the appropriate temperature range information of water electrolysis hydrogen production, so as to verify the temperature adjustment result and realize the monitoring of the heat exchanger performance at the same time.

[0009] Preferably, the temperature data collection unit includes a temperature reference data collection module and a hydrogen production information collection module. The temperature reference data collection module determines the appropriate temperature range information for the water electrolysis hydrogen production operation in different electrolyte and catalyst environments by searching the literature, constructs a combination of electrolyte type-catalyst type-appropriate temperature range based on the determined information, and stores the constructed combination information of electrolyte type-catalyst type-appropriate temperature range in a built-in database of the system. The hydrogen production information collection module and the temperature reference data collection module are electrically connected. The hydrogen production information collection module determines the electrolyte and catalyst information used for the current water electrolysis hydrogen production, and obtains the appropriate temperature range information for water electrolysis hydrogen production by querying the database.

[0010] Preferably, the temperature data collection unit further includes a temperature monitoring data collection module, the temperature monitoring data collection module is electrically connected to the hydrogen production information collection module, and the temperature monitoring data collection module uses a contact platinum thermal resistance temperature sensor to monitor the electrolyte temperature in the electrolytic cell, and the relationship function between the resistance and temperature is as follows:

[0011] R T =R 0 (1+AT+BT 2 )

[0012] In the formula, R T Indicates the resistance value at temperature T, A and B are respectively 0It represents the resistance value when the temperature is 0. The analog signal output by the contact platinum resistance temperature sensor is converted into a digital signal through an analog-to-digital converter. The digital signal is read by the controller to obtain real-time environmental temperature information for hydrogen production by electrolysis of water, and it is stored in the system's built-in database together with the data acquisition time.

[0013] Preferably, the intelligent temperature adjustment unit includes a temperature adjustment network construction module, which constructs a temperature adjustment network based on a neural network combined with a PID algorithm. The specific operation is to combine an artificial neural network with a PID controller to jointly construct a temperature adjustment network, and set three outputs for the artificial neural network, which correspond to the proportional gain, integral gain and differential gain parameters of the PID controller respectively, and select the expected value, actual output and the error value between the two as inputs of the artificial neural network, and add an input signal with a constant value of one in the input layer of the artificial neural network to improve the stability of the temperature adjustment network, and select the Sigmoid function as the activation function of the hidden layer of the temperature adjustment network.

[0014] Preferably, the temperature intelligent adjustment unit also includes a temperature adjustment network simulation module and a temperature adjustment network output module, the temperature adjustment network simulation module and the temperature adjustment network construction module are electrically connected, the temperature adjustment network simulation module builds a temperature adjustment network-based water electrolysis hydrogen production intelligent adjustment control simulation system in the Simulink tool of the MATLAB software, and continuously optimizes and adjusts the proportional gain, integral gain and differential gain parameters of the PID controller through the self-learning ability of the artificial neural network, thereby maximizing the performance of the PID controller, the temperature adjustment network output module and the temperature adjustment network simulation module are electrically connected, the temperature adjustment network output module calculates the deviation based on the collected water electrolysis hydrogen production ambient temperature data and the water electrolysis hydrogen production suitable temperature range data, and uses the three data as the input of the temperature adjustment network, and calculates the output value through the PID controller in the temperature adjustment network, thereby obtaining the temperature adjustment result of the temperature adjustment network.

[0015] Preferably, the heat exchange simulation unit includes a heat exchanger physical modeling module and a heat exchange simulation network division module. The heat exchanger physical modeling module establishes a three-dimensional physical model of the heat exchanger through SolidWorks software based on the size data of the heat exchanger. The heat exchange simulation network division module and the heat exchanger physical modeling module are electrically connected. The heat exchange simulation network division module performs CFD simulation on the heat exchanger based on the established three-dimensional physical model of the heat exchanger. The specific operation is to import the established three-dimensional physical model of the heat exchanger into the meshing software ICEM CFD, perform medium-density meshing on the three-dimensional physical model of the heat exchanger through the meshing software ICEM CFD, and set to add three boundary layers to improve the quality of the generated mesh, and then import the generated mesh into ANSYS Fluent software, and check the quality of the generated mesh through ANSYS Fluent software to ensure that the mesh quality meets the calculation requirements.

[0016] Preferably, the heat exchange simulation unit further includes a simulation parameter setting module and a simulation result output module. The simulation parameter setting module is electrically connected to the heat exchange simulation network division module. The simulation parameter setting module simulates the three-dimensional physical model of the heat exchanger after meshing in the Fluent software, performs iterative calculations while keeping the default parameter settings. When the convergence state is reached, the number of iteration steps is counted, and the temperature vector diagram of the fluid in the inner and outer tubes of the heat exchanger calculated and analyzed in the Fluent software is intercepted, so as to understand the temperature change trend in the heat exchanger and match it with the temperature regulation result of the temperature regulation network. The two parameters of the inner tube diameter and the water inlet flow rate of the heat exchanger are optimized and calculated in turn by the control variable method, and the inner tube diameter and the water inlet flow rate parameter values ​​of the heat exchanger in which the temperature vector diagram matches the temperature regulation result of the temperature regulation network and the number of iterations are minimized are selected. The simulation result output module is electrically connected to the simulation parameter setting module. The simulation result output module controls the heat exchanger of the corresponding parameters to perform temperature regulation operation based on the selection results of the inner tube diameter and the water inlet flow rate parameter values ​​of the heat exchanger by the control variable method. The relationship function between the heat and temperature is as follows:

[0017] Q=mcΔT

[0018] In the formula, Q represents heat, m represents mass, c represents specific heat capacity, and ΔT represents temperature difference, thereby quickly making the ambient temperature of water electrolysis to produce hydrogen within a suitable temperature range.

[0019] Preferably, the electrolysis temperature monitoring unit includes a temperature adjustment monitoring module and a temperature adjustment early warning module. After the temperature adjustment is completed, the temperature adjustment monitoring module monitors and collects the environmental temperature data of water electrolysis hydrogen production, and stores the collected temperature data in combination with the collection time node in a database built into the system. The temperature adjustment early warning module and the temperature adjustment monitoring module are electrically connected. The temperature adjustment early warning module compares the temperature data monitored and collected after the temperature adjustment with the appropriate temperature range data. When the temperature data monitored and collected after the temperature adjustment is within the appropriate temperature range data, it is judged that the temperature adjustment is successful. Otherwise, it is judged that there is a problem with the heat exchanger performance. Combined with the monitoring data collection time node information, the time node when the heat exchanger performance problem occurs is determined, thereby facilitating troubleshooting.

[0020] Compared with the prior art, the beneficial effects of the present invention at least include: the present invention proposes a temperature control system for hydrogen production by electrolysis of water based on remote monitoring, constructs an electrolyte type-catalyst type-appropriate temperature range combination through a set temperature data collection unit, and determines the appropriate temperature range information of hydrogen production by electrolysis of water in combination with the set hydrogen production by electrolysis of water environment, and collects temperature monitoring data in real time, constructs a temperature regulation network through a set temperature intelligent regulation unit, and performs optimization operation on PID controller parameters, thereby optimizing the performance of the temperature regulation network, outputs a temperature regulation result through the optimized temperature regulation network, implements temperature regulation operation through heat exchange based on the temperature regulation result output by the temperature regulation network through a set heat exchange simulation unit, and determines the optimal operating parameters of the heat exchanger by modeling, meshing and simulating the heat exchanger, thereby improving the heat exchange efficiency of the heat exchanger, and monitors and collects the temperature data of the hydrogen production by electrolysis of water environment after temperature adjustment through a set electrolysis temperature monitoring unit, thereby judging the temperature regulation result and the performance of the heat exchanger based on the collected data and the appropriate temperature range data. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a schematic diagram of the overall process of an embodiment of the present invention;

[0022] Figure 2 This is a schematic diagram of the flow of a temperature data collection unit according to an embodiment of the present invention;

[0023] Figure 3 This is a schematic diagram of the process of the intelligent temperature adjustment unit according to an embodiment of the present invention;

[0024] Figure 4 This is a schematic diagram of the process flow of a heat exchange simulation unit according to an embodiment of the present invention;

[0025] Figure 5 It is a schematic diagram of the process of the electrolysis temperature monitoring unit according to an embodiment of the present invention.

[0026] In the figure: 100, temperature data collection unit; 101, temperature reference data collection module; 102, hydrogen production information collection module; 103, temperature monitoring data acquisition module; 200, temperature intelligent adjustment unit; 201, temperature adjustment network construction module; 202, temperature adjustment network simulation module; 203, temperature adjustment network output module; 300, heat exchange simulation unit; 301, heat exchanger physical modeling module; 302, heat exchange simulation network division module; 303, simulation parameter setting module; 304, simulation result output module; 400, electrolysis temperature monitoring unit; 401, adjustment temperature monitoring module; 402, adjustment temperature early warning module. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in 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 creative work are within the scope of protection of the present invention.

[0028] See also Figure 1-Figure 5 The present invention provides a technical solution: a temperature control system for hydrogen production by electrolysis of water based on remote monitoring, comprising a temperature data collection unit 100, wherein the temperature data collection unit 100 determines the appropriate temperature range information of hydrogen production by electrolysis of water in different electrolyte and catalyst environments by searching the literature, and determines the appropriate temperature range information of hydrogen production by electrolysis of water in combination with the set hydrogen production by electrolysis of water environment, and collects the temperature monitoring data in real time when hydrogen production by electrolysis of water begins;

[0029] The temperature intelligent adjustment unit 200 constructs a temperature adjustment network based on a neural network combined with a PID algorithm, and adaptively adjusts the PID parameters by simulating the temperature adjustment network, thereby optimizing the performance of the temperature adjustment network, and outputting a temperature adjustment result through the optimized temperature adjustment network;

[0030] The heat exchange simulation unit 300 implements temperature regulation operation by heat exchange based on the temperature regulation result output by the temperature regulation network, and determines the optimal operating parameters of the heat exchanger by modeling and simulating the heat exchanger before the actual operation, thereby improving the heat exchange efficiency of the heat exchanger, and controlling the heat exchanger to perform temperature regulation operation based on the simulation result;

[0031] The electrolysis temperature monitoring unit 400 monitors and collects the temperature data of the water electrolysis hydrogen production environment after temperature adjustment, and compares it with the appropriate temperature range information of the water electrolysis hydrogen production, so as to verify the temperature adjustment result and realize the monitoring of the heat exchanger performance at the same time.

[0032] The temperature data collection unit 100 includes a temperature reference data collection module 101 and a hydrogen production information collection module 102. The temperature reference data collection module 101 determines the appropriate temperature range information of the water electrolysis hydrogen production operation in different electrolyte and catalyst environments by searching the literature, constructs a combination of electrolyte type-catalyst type-appropriate temperature range based on the determined information, and stores the constructed combination information of electrolyte type-catalyst type-appropriate temperature range in a database built into the system. The hydrogen production information collection module 102 is electrically connected to the temperature reference data collection module 101. The hydrogen production information collection module 102 determines the electrolyte and catalyst information used for the water electrolysis hydrogen production this time, and obtains the appropriate temperature range information of the water electrolysis hydrogen production by querying the database;

[0033] The temperature data collection unit 100 also includes a temperature monitoring data collection module 103, which is electrically connected to the hydrogen production information collection module 102. The temperature monitoring data collection module 103 uses a contact platinum thermal resistance temperature sensor to monitor the electrolyte temperature in the electrolytic cell. The relationship function between the resistance and the temperature is as follows:

[0034] R T =R 0 (1+AT+BT 2 )

[0035] In the formula, R T Indicates the resistance value at temperature T, A and B are respectively 0 Indicates the resistance value when the temperature is 0. The analog signal output by the contact platinum thermal resistance temperature sensor is converted into a digital signal through an analog-to-digital converter. The digital signal is read by the controller to obtain real-time environmental temperature information of water electrolysis and hydrogen production, and the information is stored in the system's built-in database together with the data acquisition time.

[0036] The temperature intelligent adjustment unit 200 includes a temperature adjustment network construction module 201. The temperature adjustment network construction module 201 constructs a temperature adjustment network based on a neural network combined with a PID algorithm. The specific operation is to combine an artificial neural network with a PID controller to jointly construct a temperature adjustment network, and set three outputs for the artificial neural network, which correspond to the proportional gain, integral gain and differential gain parameters of the PID controller respectively, and select the expected value, the actual output and the error value between the two as the input of the artificial neural network, and add an input signal with a constant value of one in the input layer of the artificial neural network to improve the stability of the temperature adjustment network, and select the Sigmoid function as the activation function of the hidden layer of the temperature adjustment network;

[0037] The temperature intelligent adjustment unit 200 also includes a temperature adjustment network simulation module 202 and a temperature adjustment network output module 203. The temperature adjustment network simulation module 202 is electrically connected to the temperature adjustment network construction module 201. The temperature adjustment network simulation module 202 builds a temperature adjustment network-based water electrolysis hydrogen production temperature intelligent adjustment control simulation system in the Simulink tool of the MATLAB software, and continuously optimizes and adjusts the proportional gain, integral gain and differential gain parameters of the PID controller through the self-learning ability of the artificial neural network, thereby maximizing the performance of the PID controller. The temperature adjustment network output module 203 is electrically connected to the temperature adjustment network simulation module 202. The temperature adjustment network output module 203 calculates the deviation based on the collected water electrolysis hydrogen production environment temperature data and the water electrolysis hydrogen production suitable temperature range data, and uses the three data as the input of the temperature adjustment network, and calculates the output value through the PID controller in the temperature adjustment network, thereby obtaining the temperature adjustment result of the temperature adjustment network;

[0038] The heat exchange simulation unit 300 includes a heat exchanger physical modeling module 301 and a heat exchange simulation network division module 302. The heat exchanger physical modeling module 301 establishes a three-dimensional physical model of the heat exchanger through SolidWorks software based on the size data of the heat exchanger. The heat exchange simulation network division module 302 is electrically connected to the heat exchanger physical modeling module 301. The heat exchange simulation network division module 302 performs CFD simulation on the heat exchanger based on the established three-dimensional physical model of the heat exchanger. The specific operation is to import the established three-dimensional physical model of the heat exchanger into the mesh division software ICEM CFD, perform medium-density mesh division on the three-dimensional physical model of the heat exchanger through the mesh division software ICEM CFD, and set to add three boundary layers to improve the quality of the generated mesh, and then import the generated mesh into ANSYS Fluent software, and test the quality of the generated mesh through ANSYS Fluent software to ensure that the mesh quality meets the calculation requirements;

[0039] The heat exchange simulation unit 300 also includes a simulation parameter setting module 303 and a simulation result output module 304. The simulation parameter setting module 303 is electrically connected to the heat exchange simulation network division module 302. The simulation parameter setting module 303 simulates the three-dimensional physical model of the heat exchanger after meshing in the Fluent software, performs iterative calculations while keeping the default parameter settings. When the convergence state is reached, the number of iteration steps is counted, and the temperature vector diagram of the fluid in the inner and outer pipes of the heat exchanger calculated and analyzed in the Fluent software is intercepted, so as to understand the temperature change trend in the heat exchanger and compare it with the temperature. The temperature regulation result of the temperature regulation network is matched, and the two parameters of the inner tube diameter of the heat exchanger and the water inlet flow rate are optimized and calculated in turn by the control variable method. The inner tube diameter and the water inlet flow rate parameter values ​​of the heat exchanger in which the temperature vector diagram matches the temperature regulation result of the temperature regulation network and the number of iterations is the least are selected. The simulation result output module 304 is electrically connected to the simulation parameter setting module 303. The simulation result output module 304 controls the heat exchanger of the corresponding parameters to perform temperature regulation operation based on the selection results of the inner tube diameter and the water inlet flow rate parameter values ​​of the heat exchanger by the control variable method. The relationship function between the heat and temperature is as follows:

[0040] Q=mcΔT

[0041] In the formula, Q represents heat, m represents mass, c represents specific heat capacity, and ΔT represents temperature difference, so as to quickly make the ambient temperature of water electrolysis hydrogen production within a suitable temperature range;

[0042] The electrolysis temperature monitoring unit 400 includes a temperature adjustment monitoring module 401 and a temperature adjustment early warning module 402. After the temperature adjustment is completed, the temperature adjustment monitoring module 401 monitors and collects the environmental temperature data of the electrolysis of water to produce hydrogen, and stores the collected temperature data in combination with the collection time node in the system's built-in database. The temperature adjustment early warning module 402 is electrically connected to the temperature adjustment monitoring module 401. The temperature adjustment early warning module 402 compares the temperature data monitored and collected after the temperature adjustment with the appropriate temperature range data. When the temperature data monitored and collected after the temperature adjustment is within the appropriate temperature range data, it is judged that the temperature adjustment is successful. Otherwise, it is judged that there is a problem with the performance of the heat exchanger. Combined with the monitoring data collection time node information, the time node when the heat exchanger performance problem occurs is determined, thereby facilitating troubleshooting.

[0043] Working principle: Determine the appropriate temperature range information of water electrolysis hydrogen production operation in different electrolyte and catalyst environments through the temperature reference data collection module 101, and construct a combination of electrolyte type-catalyst type-appropriate temperature range based on the determined information, determine the electrolyte and catalyst information used for this water electrolysis hydrogen production through the hydrogen production information collection module 102, and then obtain the appropriate temperature range information of water electrolysis hydrogen production, obtain the real-time water electrolysis hydrogen production environment temperature information through the temperature monitoring data acquisition module 103, construct a temperature regulation network through the temperature regulation network construction module 201, and continuously optimize and adjust the proportional gain, integral gain and differential gain parameters of the PID controller through the temperature regulation network simulation module 202, so as to maximize the performance of the PID controller, and obtain the temperature regulation network output module 203. The temperature adjustment result is obtained by using the heat exchanger physical modeling module 301 to establish a three-dimensional physical model of the heat exchanger. The heat exchange simulation network division module 302 performs CFD simulation on the heat exchanger based on the established three-dimensional physical model of the heat exchanger. The three-dimensional physical model of the heat exchanger after meshing is simulated in the Fluent software through the simulation parameter setting module 303. The heat exchanger with corresponding parameters is controlled by the simulation result output module 304 to perform temperature adjustment operation, so as to quickly make the ambient temperature of hydrogen production by electrolysis of water within a suitable temperature range. After the temperature adjustment is completed, the temperature monitoring module 401 is adjusted to monitor and collect the ambient temperature data of hydrogen production by electrolysis of water. The temperature early warning module 402 is adjusted to compare the temperature data monitored and collected after the temperature adjustment with the data in the suitable temperature range, and whether the temperature adjustment is successful is judged based on the comparison result.

[0044] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0045] 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. A temperature control system for hydrogen production by water electrolysis based on remote monitoring, characterized in that: The method comprises a temperature data collection unit (100), wherein the temperature data collection unit (100) determines suitable temperature range information of water electrolysis hydrogen production operation in different electrolyte and catalyst environments by searching literature, and determines suitable temperature range information of the current water electrolysis hydrogen production in combination with the set water electrolysis hydrogen production environment, and collects temperature monitoring data in real time when water electrolysis hydrogen production begins; An intelligent temperature adjustment unit (200), wherein the intelligent temperature adjustment unit (200) constructs a temperature adjustment network based on a neural network combined with a PID algorithm, and adaptively adjusts PID parameters by simulating the temperature adjustment network, thereby optimizing the performance of the temperature adjustment network, and outputting a temperature adjustment result through the optimized temperature adjustment network; A heat exchange simulation unit (300), wherein the heat exchange simulation unit (300) implements temperature adjustment operation by heat exchange based on the temperature adjustment result output by the temperature adjustment network, and determines the optimal operating parameters of the heat exchanger by modeling and simulating the heat exchanger before actual operation, thereby improving the heat exchange efficiency of the heat exchanger, and controlling the heat exchanger to perform temperature adjustment operation based on the simulation result; The electrolysis temperature monitoring unit (400) monitors and collects temperature data of the water electrolysis hydrogen production environment after temperature adjustment, and compares the temperature data with the appropriate temperature range information of the water electrolysis hydrogen production, thereby verifying the temperature adjustment result and realizing the monitoring of the heat exchanger performance at the same time.

2. The temperature control system for hydrogen production by electrolysis of water based on remote monitoring according to claim 1, characterized in that: The temperature data collection unit (100) comprises a temperature reference data collection module (101) and a hydrogen production information collection module (102). The temperature reference data collection module (101) determines the appropriate temperature range information of the water electrolysis hydrogen production operation in different electrolyte and catalyst environments by searching the literature, constructs a combination of electrolyte type-catalyst type-appropriate temperature range based on the determined information, and stores the constructed combination information of electrolyte type-catalyst type-appropriate temperature range in a database built into the system. The hydrogen production information collection module (102) and the temperature reference data collection module (101) are electrically connected. The hydrogen production information collection module (102) determines the electrolyte and catalyst information used for the current water electrolysis hydrogen production, and obtains the appropriate temperature range information of the water electrolysis hydrogen production by querying the database.

3. The temperature control system for hydrogen production by electrolysis of water based on remote monitoring according to claim 2 is characterized in that: The temperature data collection unit (100) further comprises a temperature monitoring data collection module (103), wherein the temperature monitoring data collection module (103) is electrically connected to the hydrogen production information collection module (102), wherein the temperature monitoring data collection module (103) uses a contact-type platinum thermal resistor temperature sensor to monitor the electrolyte temperature in the electrolytic cell, converts an analog signal output by the contact-type platinum thermal resistor temperature sensor into a digital signal through an analog-to-digital converter, and reads the digital signal through a controller, thereby obtaining real-time environmental temperature information of water electrolysis hydrogen production, and stores the information together with the data acquisition time in a database built into the system.

4. The temperature control system for hydrogen production by electrolysis of water based on remote monitoring according to claim 1 is characterized in that: The intelligent temperature adjustment unit (200) comprises a temperature adjustment network construction module (201), wherein the temperature adjustment network construction module (201) constructs a temperature adjustment network based on a neural network combined with a PID algorithm, and specifically operates by combining an artificial neural network with a PID controller to jointly construct a temperature adjustment network, and setting three outputs for the artificial neural network, which correspond to proportional gain, integral gain and differential gain parameters of the PID controller respectively, and selecting an expected value, an actual output and an error value between the two as inputs of the artificial neural network, and adding an input signal with a constant value of one in the input layer of the artificial neural network to improve the stability of the temperature adjustment network, and selecting a Sigmoid function as an activation function of a hidden layer of the temperature adjustment network.

5. The temperature control system for producing hydrogen by electrolysis of water based on remote monitoring according to claim 4 is characterized in that: The temperature intelligent adjustment unit (200) further comprises a temperature adjustment network simulation module (202) and a temperature adjustment network output module (203). The temperature adjustment network simulation module (202) is electrically connected to the temperature adjustment network construction module (201). The temperature adjustment network simulation module (202) constructs a temperature adjustment network-based water electrolysis hydrogen production temperature intelligent adjustment control simulation system in the Simulink tool of MATLAB software, and continuously optimizes and adjusts the proportional gain, integral gain and differential gain parameters of the PID controller through the self-learning ability of the artificial neural network, thereby maximizing the performance of the PID controller. The temperature adjustment network output module (203) is electrically connected to the temperature adjustment network simulation module (202). The temperature adjustment network output module (203) calculates the deviation based on the collected water electrolysis hydrogen production environment temperature data and the water electrolysis hydrogen production suitable temperature range data, and uses the three data as the input of the temperature adjustment network, and calculates the output value through the PID controller in the temperature adjustment network, thereby obtaining the temperature adjustment result of the temperature adjustment network.

6. The temperature control system for hydrogen production by electrolysis of water based on remote monitoring according to claim 1 is characterized in that: The heat exchange simulation unit (300) comprises a heat exchanger physical modeling module (301) and a heat exchange simulation network division module (302). The heat exchanger physical modeling module (301) establishes a three-dimensional physical model of the heat exchanger through SolidWorks software based on the size data of the heat exchanger. The heat exchange simulation network division module (302) and the heat exchanger physical modeling module (301) are electrically connected. The heat exchange simulation network division module (302) performs CFD simulation on the heat exchanger based on the established three-dimensional physical model of the heat exchanger. The specific operation is to import the established three-dimensional physical model of the heat exchanger into the mesh division software ICEM CFD, perform medium-density mesh division on the three-dimensional physical model of the heat exchanger through the mesh division software ICEM CFD, and set to add three boundary layers to improve the quality of the generated mesh, and then import the generated mesh into ANSYS Fluent software, and check the quality of the generated mesh through the ANSYS Fluent software to ensure that the mesh quality meets the calculation requirements.

7. The temperature control system for producing hydrogen by electrolysis of water based on remote monitoring according to claim 6 is characterized in that: The heat exchange simulation unit (300) further comprises a simulation parameter setting module (303) and a simulation result output module (304). The simulation parameter setting module (303) is electrically connected to the heat exchange simulation network division module (302). The simulation parameter setting module (303) simulates the three-dimensional physical model of the heat exchanger after meshing in the Fluent software, performs iterative calculation while maintaining the default parameter settings. When the convergence state is reached, the number of iteration steps is counted, and the temperature vector diagram of the fluid in the inner and outer tubes of the heat exchanger calculated and analyzed in the Fluent software is intercepted, so as to understand the temperature change trend in the heat exchanger and match it with the temperature regulation result of the temperature regulation network. The simulation result output module (304) is electrically connected to the simulation parameter setting module (303). The simulation result output module (304) controls the heat exchanger of the corresponding parameters to perform temperature regulation operation based on the selection results of the inner tube diameter and the water inlet flow rate parameter value of the heat exchanger by the control variable method, so as to quickly make the ambient temperature of hydrogen production by electrolysis of water within a suitable temperature range.

8. The temperature control system for hydrogen production by electrolysis of water based on remote monitoring according to claim 1, characterized in that: The electrolysis temperature monitoring unit (400) comprises a temperature adjustment monitoring module (401) and a temperature adjustment early warning module (402). After temperature adjustment is completed, the temperature adjustment monitoring module (401) monitors and collects environmental temperature data of water electrolysis hydrogen production, and stores the collected temperature data in combination with the collection time node in a database built into the system. The temperature adjustment early warning module (402) and the temperature adjustment monitoring module (401) are electrically connected. The temperature adjustment early warning module (402) compares the temperature data obtained by monitoring and collecting after temperature adjustment with the data in the appropriate temperature range, thereby facilitating troubleshooting.

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