Operation and control system of water electrolysis hydrogen production, storage and supply system

Abstract

The present invention relates to the field of hydrogen production control technology, specifically to an operation control system for a hydrogen production, storage and supply system by electrolysis of water, comprising: an electrolytic cell monitoring module for dividing a plurality of electrolytic cells into a plurality of regions and screening out unqualified efficiency regions; a first acquisition module for receiving regional electrolytic cell image acquisition instructions and performing image acquisition on the electrolytic cells in each unqualified efficiency region; a second acquisition module for receiving regional sensor acquisition instructions and constructing a first quality index; an image recognition and analysis module for constructing a second quality index; and a control module for matching corresponding regional control schemes for each region and regulating each region. The present invention can achieve precise monitoring of different regions or a single electrolytic cell, timely discover and handle local anomalies, help optimize reaction conditions, improve hydrogen production efficiency, and achieve real-time adjustment of key parameters in the electrolysis process, thereby improving the stability and reliability of the system.

Description

Technical Field

[0001] The present invention relates to the technical field of hydrogen production control, and in particular to an operation control system of a water electrolysis hydrogen production, storage and supply system. Background Art

[0002] Hydrogen production by water electrolysis is an environmentally friendly and clean energy production method. It decomposes water into hydrogen and oxygen through electrolysis without producing any harmful gases or emissions. It uses water as a raw material, has broad renewability, can effectively utilize renewable resources, and achieve sustainable energy utilization.

[0003] In the process of controlling hydrogen production by water electrolysis, traditional control systems typically only monitor the overall performance of the electrolytic cell, lacking detailed monitoring of different areas or individual electrolytic cells. In particular, the lack of real-time monitoring and analysis of the electrolytic cell makes it impossible to promptly detect and address local anomalies, affecting the overall stability and efficiency of the control system. The temperature, pressure, and stirring rate parameters during the electrolysis process significantly affect the efficiency of hydrogen production. In particular, the presence of gas bubbles in the electrolyte reduces the effective surface area of ​​the electrolysis reaction, thereby reducing the reaction rate and efficiency, and affecting the hydrogen production yield. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, the present invention provides an operation control system for a water electrolysis hydrogen production, storage and supply system, which can achieve precise monitoring of different areas or individual electrolytic cells, timely detect and handle local anomalies, help optimize reaction conditions, improve hydrogen production efficiency, and realize real-time adjustment of key parameters in the electrolysis process, thereby improving the stability and reliability of the system.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: an operation control system for a water electrolysis hydrogen production, storage and supply system, comprising:

[0006] The electrolytic cell monitoring module is used to divide several electrolytic cells into several areas, construct a hydrogen production efficiency index xLz based on the electrolytic cell power data in each area, and use this to screen out unqualified efficiency areas from each area. If the ratio of unqualified efficiency areas exceeds expectations, a regional electrolytic cell image acquisition instruction and a regional sensor acquisition instruction are issued to the unqualified efficiency area;

[0007] The first acquisition module is configured to receive a regional electrolytic cell image acquisition instruction, acquire images of the electrolytic cells in each substandard efficiency area, and pre-process the acquired regional electrolytic cell images to aggregate and construct a regional image set;

[0008] The second acquisition module is used to receive the regional sensor acquisition instruction, acquire the temperature Jt, pressure Jy and stirring rate Js in the electrolytic cell in each area through the second sensor, and construct the first quality index ZL1;

[0009] An image recognition and analysis module constructs a second quality index ZL2 by identifying the electrolytic cell electrode spacing J, the electrolytic cell electrode surface defect area X, the battery surface area L, and the gas foam distribution in the electrolytic cell in the acquired regional image set;

[0010] The control module evaluates the first quality index ZL1 and the second quality index ZL2 respectively, obtains the corresponding difference characteristics, and matches the corresponding regional control plan for each area based on the difference characteristics; and constructs the control priority Yx J , in order to regulate each region.

[0011] Preferably, the electrolytic cell monitoring module includes a three-dimensional model building unit, a deployment unit, and a power collection unit;

[0012] Establish a 3D model unit to collect design drawings and technical parameters of the water electrolysis hydrogen production, hydrogen storage and supply production line; Based on the design drawings and technical parameters, use AutoCAD, SolidWorks, Blender, or SketchUp 3D modeling software to create a 3D model of the production line. The 3D model of the production line should include the electrolytic cell, hydrogen storage equipment, hydrogen supply equipment, pipelines, valves, connectors, and brackets; After the 3D model of the production line is established, it should be exported to 3D STL, OBJ, and STEP formats;

[0013] The deployment unit is used to divide several electrolytic cells into p areas in the three-dimensional model of the production line, according to QY1, QY2, QY3, ..., QY p Mark p regions;

[0014] Installing a first sensor in each zone;

[0015] The power acquisition unit is used to acquire electrolytic cell power data through the first sensor;

[0016] The first sensor includes a gas sensor, a current sensor, a flow sensor and a time sensor;

[0017] The actual measured electrolytic hydrogen production Qcl is obtained by measuring with a gas sensor;

[0018] The electrolytic cell current Q during the electrolytic cell process is measured by a current sensor;

[0019] The static liquid flow Jtyl is measured and obtained by using a flow sensor in the electrolyte flow pipe;

[0020] The static time Jtsj is obtained by measuring the time sensor.

[0021] Preferably, the electrolytic cell monitoring module includes an efficiency calculation unit and a screening unit;

[0022] The efficiency calculation unit is used to collect the electrolytic cell current Q, static liquid flow Jtyl and static time Jtsj during the electrolytic cell process. After dimensionless processing, the hydrogen production efficiency index xLz is calculated using the following formula:

[0023] ;

[0024] ;

[0025] Where Qcl represents the actual measured amount of hydrogen produced by electrolysis, and Qth represents the theoretical hydrogen production, which is the theoretical amount of hydrogen produced at a given current calculated based on Faraday's law and the reaction equation.

[0026] Jtsj represents the static time, which is the duration of the electrolysis process. The static liquid flow Jtyl represents the flow rate of the electrolyte in the electrolytic cell. M represents the molar mass of the gas. The inverse of molar mass is called molar volume, which is used to calculate the volume of the gas. Here, it is the molar mass of hydrogen produced. The amount of charge obtained by electrolysis is calculated based on the current and electrolysis time. The charge number is the number of electrons. It is set to 1, indicating that each electron corresponds to one charge. The number of moles of hydrogen is obtained based on the molar ratio in the chemical equation of the electrolysis products.

[0027] The screening unit is used to compare the hydrogen production efficiency index xLz with the efficiency threshold Y. For the electrolytic cell region where the hydrogen production efficiency index xLz is less than the efficiency threshold Y, it indicates that the hydrogen production efficiency is unqualified; for the electrolytic cell region where the hydrogen production efficiency index xLz is greater than or equal to the efficiency threshold Y, it indicates that the hydrogen production efficiency is qualified.

[0028] The areas where the hydrogen production efficiency index xLz is lower than the efficiency threshold Y are counted. If the ratio exceeds 30% in the total electrolytic cell area, it means that the ratio is exceeded. Further analysis and maintenance of the electrolytic cells with unqualified hydrogen production efficiency are required, and regional electrolytic cell image acquisition instructions and regional sensor acquisition instructions are issued. The ratio can be adjusted and set by the administrator.

[0029] Preferably, the first acquisition module specifically acquires data in the following steps:

[0030] S1. Once a regional electrolytic cell image acquisition instruction is received, first confirm the regional number or coordinates of each unqualified efficiency region;

[0031] S2. Then, using an image acquisition device, take a high-resolution photo of each electrolytic cell in the unqualified efficiency area to obtain an image of the regional electrolytic cell;

[0032] S3. After preprocessing the collected regional electrolytic cell images including denoising, contrast enhancement, and brightness adjustment, a regional image set is constructed by aggregation.

[0033] Preferably, the second acquisition module includes a sensor acquisition unit and a first calculation unit;

[0034] The sensor acquisition unit is used to collect the parameters of the electrolytic cell in the unqualified efficiency area. After the regional electrolytic cell image acquisition instruction is completed, the second sensor is used to acquire the temperature Jt, pressure Jy and stirring rate Js in the electrolytic cell in each area;

[0035] The second sensor includes a temperature sensor, a pressure sensor and a magnetic fluid sensor;

[0036] The temperature Jt in the electrolytic cell is directly measured by a temperature sensor;

[0037] Pressure Jy represents the pressure exerted by the gas inside the electrolytic cell on the container wall, which is measured by a pressure sensor;

[0038] The stirring rate Js is obtained by collecting the movement of the magnetic stirring bar in the electrolytic cell through a magnetic fluid sensor;

[0039] The first calculation unit is used to collect the temperature Jt, pressure Jy and stirring rate Js in the same electrolytic cell in the same area and perform linear normalization processing, and map the corresponding data values ​​in the interval [0, 1], and then generate the first quality index ZL1 according to the following formula:

[0040] ;

[0041] in, To measure the average value of the electrolytic cell temperature in each monitoring period, is the average value of the measured pressure during the monitoring period; is the mean value of the stirring rate measured during the monitoring period; α, β, and γ are weight coefficients: 0≤β≤1, 0≤α≤1, 0≤γ≤1, and α+β+γ=1, where i=1, 2, ..., n, where n is the number of the monitoring period and is a positive integer greater than 1.

[0042] Preferably, the image recognition and analysis module includes a feature extraction unit and a second calculation unit;

[0043] The feature extraction unit is used to extract relevant features from each electrolytic cell image in the regional image set;

[0044] Relevant characteristics include:

[0045] Electrolytic cell electrode spacing J: The distance between electrodes is measured using image processing technology;

[0046] Electrolytic cell electrode surface defect area X: Identify cracks, oxidation and fouling characteristics on the electrode surface and use processing algorithms to monitor the defect area on the electrode surface;

[0047] Battery surface area L: Monitor the battery boundary and calculate the area through image segmentation technology;

[0048] Gas foam distribution in the electrolytic cell: The gas foam size c and quantity SL in the electrolytic cell in the image are monitored by image analysis technology, and the gas foam distribution density Md is calculated using the following formula:

[0049] ;

[0050] The second calculation unit is used to extract the electrolytic cell electrode spacing J, the electrolytic cell electrode surface defect area X, the battery surface area L, and the gas foam distribution density Md. After dimensionless processing, the second quality index ZL2 is generated using the following formula:

[0051] ;

[0052] Where, represents the nonlinear effect of gas foam distribution density, and divided by In order to normalize it to the range of [0, 1], the meaning of the formula is that, taking into account various parameters affecting the quality of the circulation pool, the electrolytic cell electrode spacing J and the electrolytic cell electrode surface defect area X will affect the efficiency of the continuous reaction, while the gas foam distribution density MD affects the gas release rate and the stability of the continuous process.

[0053] Preferably, the control module comprises a first evaluation unit and a second evaluation unit;

[0054] The first evaluation unit is configured to compare the first quality index ZL1 with the first threshold Y1 to obtain a first evaluation result, including:

[0055] When the first quality index ZL1 is greater than the first threshold Y1, it indicates that the temperature Jt, pressure Jy, and stirring rate Js in the electrolytic cell are abnormal, and a first unqualified label is generated;

[0056] When the first quality index ZL1 ≤ the first threshold Y1, it means that the temperature Jt, pressure Jy and stirring rate Js in the electrolytic cell are within the qualified range, and a first qualified label is generated;

[0057] The second evaluation unit is configured to compare the second quality index ZL2 with the second threshold value Y2 to obtain a second evaluation result, including:

[0058] When the second quality index ZL2 is greater than the second threshold value Y2, it indicates that there are abnormalities in the electrolytic cell electrode spacing J, the electrolytic cell electrode surface defect area X, the battery surface area L, and the gas foam distribution density Md, and a second unqualified label is generated;

[0059] When the second quality index ZL2 ≤ the second threshold Y2, it indicates that the electrolytic cell electrode spacing J, the electrolytic cell electrode surface defect area X, the battery surface area L, and the gas foam distribution density Md are within the normal range, and a second qualified label is generated.

[0060] The first threshold value Y1 and the second threshold value Y2 can be set according to actual needs.

[0061] Preferably, the control module further includes a difference calculation unit;

[0062] The difference calculation unit is used to extract the first quality index ZL1 and the second quality index ZL2 of the first unqualified label and the second unqualified label, and obtain the first difference D1 and the second difference D2 by the following formula;

[0063] .

[0064] Preferably, the control module further comprises a strategy generation unit;

[0065] The strategy generation unit is used to associate the first evaluation result and the second evaluation result of each region, and generate a corresponding strategy by matching, including:

[0066] If the first evaluation result is a first qualified label and the second evaluation result is a second unqualified label, a first strategy is generated, including: maintaining the current operating parameters unchanged. At this time, the temperature, pressure, and stirring rate in the electrolytic cell are already within the qualified range and do not need to be adjusted; paying special attention to the indicators marked as abnormal in the second evaluation, adjusting the electrode spacing J of the electrolytic cell, cleaning or repairing the electrode surface, optimizing and increasing the size of the electrolytic cell, and changing the position of the gas release channel to adjust the distribution of gas bubbles;

[0067] If the first evaluation result is a first unqualified label and the second evaluation result is a second qualified label, a second strategy is generated to adjust and optimize the temperature Jt, pressure Jy and stirring rate Js in the electrolytic cell of the first unqualified label until they are adjusted to the qualified range;

[0068] If the first evaluation result is the first unqualified label and the second evaluation result is the second unqualified label, a third strategy is generated to adjust the temperature Jt, pressure Jy and stirring rate Js in the electrolytic cell, adjust the electrode spacing J of the electrolytic cell, clean or repair the electrode surface, optimize and increase the size of the electrolytic cell, and change the position of the gas release channel to adjust the distribution of gas bubbles.

[0069] Preferably, the control module further comprises a priority unit;

[0070] Construct the regulatory priority Yx for each region JThe specific method is as follows: After linear normalization of the first difference D1 and the second difference D2, the corresponding data values ​​are mapped to the interval [0, 1], and then calculated according to the following formula:

[0071] ;

[0072] Where k is the number of first unqualified labels generated by the electrolytic cells in the area during the test duration, i=1, 2, ..., k; To set the maximum first difference threshold; D 1i The first difference value of the first unqualified label generated for the i-th regional electrolytic cell, D 2i A second difference value for generating a second unqualified label for the regional electrolytic cells; m is the number of unqualified electrolytic cells in the region, i=1, 2, ..., m; is the maximum first difference threshold; ε and δ weight coefficients: 0≤ε≤1, 0≤δ≤1, and ε+δ=1, the weight coefficients are obtained by the hierarchical analysis method;

[0073] When in use, according to the control priority Yx J And the pre-built maintenance plan library (based on the previous operation conditions and the maintenance plans taken, as well as the existing maintenance plans obtained by querying and summarizing the known technologies, the maintenance plan library is generated), the corresponding strategy is generated according to the generated strategy unit, and the control priority Yx is used. J Sequential priority control and maintenance are performed from large to small, and are marked prominently in the 3D model of the production line.

[0074] The present invention has the following beneficial effects:

[0075] (1) The present invention utilizes an electrolytic cell monitoring module and an image recognition and analysis module to enable precise monitoring of different regions or individual electrolytic cells, allowing for timely detection and resolution of local anomalies. This precise monitoring helps optimize reaction conditions and improve hydrogen production efficiency, thereby achieving sustainable energy production.

[0076] (2) The present invention utilizes the difference calculation unit and strategy generation unit in the control module to achieve real-time adjustment of key parameters in the electrolysis process, such as temperature, pressure, and stirring rate. Through this real-time adjustment, the system can respond to changes in a timely manner, improve system stability and reliability, and ensure the continuity of energy production.

[0077] (3) The features extracted by the image recognition and analysis module and the calculated second quality index ZL2 can reflect the actual situation of the electrolysis reaction, especially the distribution of gas bubbles. Through the generation strategy unit in the control module, the system can adjust the reaction conditions according to the actual situation, optimize the electrolysis process, and improve the efficiency and yield of hydrogen production.

[0078] (4) The present invention uses the priority unit in the control module to determine the control priority according to the situation of each area and formulate corresponding maintenance strategies. This helps to deal with abnormal situations in a timely manner, reduce resource waste, and improve the efficiency and sustainability of energy production. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] Figure 1 This is a flowchart diagram of the operation control system of the water electrolysis hydrogen production, storage and supply system of the present invention. DETAILED DESCRIPTION

[0080] The technical solutions in the embodiments of the present invention are described clearly and completely below with reference to the accompanying drawings.

[0081] Example 1, as Figure 1 As shown, the operation and control system of the water electrolysis hydrogen production, storage and supply system includes:

[0082] The electrolytic cell monitoring module is used to divide several electrolytic cells into several areas, construct a hydrogen production efficiency index xLz based on the electrolytic cell power data in each area, and use this to screen out unqualified efficiency areas from each area. If the ratio of unqualified efficiency areas exceeds expectations, a regional electrolytic cell image acquisition instruction and a regional sensor acquisition instruction are issued to the unqualified efficiency area;

[0083] The first acquisition module is configured to receive a regional electrolytic cell image acquisition instruction, acquire images of the electrolytic cells in each substandard efficiency area, and pre-process the acquired regional electrolytic cell images to aggregate and construct a regional image set;

[0084] The second acquisition module is used to receive the regional sensor acquisition instruction, acquire the temperature Jt, pressure Jy and stirring rate Js in the electrolytic cell in each area through the second sensor, and construct the first quality index ZL1;

[0085] An image recognition and analysis module constructs a second quality index ZL2 by identifying the electrolytic cell electrode spacing J, the electrolytic cell electrode surface defect area X, the battery surface area L, and the gas foam distribution in the electrolytic cell in the acquired regional image set;

[0086] The control module evaluates the first quality index ZL1 and the second quality index ZL2 respectively, obtains the corresponding difference characteristics, and matches the corresponding regional control plan for each area based on the difference characteristics; and constructs the control priority Yx J , in order to regulate each region.

[0087] In this embodiment, by dividing the electrolytic cell into multiple areas and constructing a hydrogen production efficiency index xLz based on the electrolytic cell power data in each area, accurate monitoring of each area is achieved. This helps to promptly detect and handle local anomalies and improve the stability and efficiency of the system. The system covers an electrolytic cell monitoring module, an image acquisition module, a sensor acquisition module, an image recognition and analysis module, and a control module. Each module works together to achieve comprehensive monitoring and regulation. By evaluating the performance of the electrolytic cell using the first quality index ZL1 and the second quality index ZL2, a comprehensive understanding of the various parameters and indicators in the electrolysis process can be achieved, which helps to optimize the hydrogen production efficiency. Based on the evaluation results and the difference characteristics, the system can match the corresponding control scheme for each area, and establish a control priority to achieve fine control of each area, thereby improving the hydrogen production efficiency and the overall performance of the system to a certain extent. No harmful gases or emissions are produced during the electrolysis of water to produce hydrogen, which is in line with the concept of environmentally friendly clean energy production and helps to reduce pollution to the environment.

[0088] Example 2: This example is an explanation based on Example 1. Figure 1 As shown, specifically, the electrolytic cell monitoring module includes a three-dimensional model building unit, a deployment unit, and a power acquisition unit;

[0089] Establish a 3D model unit to collect design drawings and technical parameters of the water electrolysis hydrogen production, hydrogen storage and supply production line; Based on the design drawings and technical parameters, use AutoCAD, SolidWorks, Blender, or SketchUp 3D modeling software to create a 3D model of the production line. The 3D model of the production line should include the electrolytic cell, hydrogen storage equipment, hydrogen supply equipment, pipelines, valves, connectors, and brackets; After the 3D model of the production line is established, it should be exported to 3D STL, OBJ, and STEP formats;

[0090] The deployment unit is used to divide several electrolytic cells into p areas in the three-dimensional model of the production line, according to QY1, QY2, QY3, ..., QY p Mark p regions;

[0091] Installing a first sensor in each zone;

[0092] The power acquisition unit is used to acquire electrolytic cell power data through the first sensor;

[0093] The first sensor includes a gas sensor, a current sensor, a flow sensor and a time sensor;

[0094] The actual measured electrolytic hydrogen production Qcl is obtained by measuring with a gas sensor;

[0095] The electrolytic cell current Q during the electrolytic cell process is measured by a current sensor;

[0096] The static liquid flow Jtyl is measured and obtained by using a flow sensor in the electrolyte flow pipe;

[0097] The static time Jtsj is obtained by measuring the time sensor.

[0098] In this embodiment, by establishing a three-dimensional model, dividing the production line into multiple areas, and installing a first sensor in each area, refined monitoring of the electrolytic cell can be achieved. In this way, the working status of each area can be understood more accurately and abnormal conditions can be discovered in a timely manner. The first sensor includes a gas sensor, a current sensor, a flow sensor, and a time sensor. Using multiple sensors to monitor different parameters can fully understand the various indicators in the electrolysis process and can fully collect key data of the electrolytic cell, such as electrolytic hydrogen production Qcl, electrolytic cell current Q, static liquid flow Jtyl, and static time Jtsj, to provide sufficient data support for subsequent monitoring and analysis. By exporting the three-dimensional model to common STL, OBJ, and STEP formats, it is convenient to use and analyze in different software platforms, thereby improving the availability and flexibility of the data. Using automated modeling software to establish a three-dimensional model can improve modeling efficiency and accuracy, reduce modeling costs, and thus improve the cost-effectiveness of the entire monitoring module.

[0099] Example 3, this example is an explanation based on Example 1. Figure 1 As shown, specifically, the electrolytic cell monitoring module includes an efficiency calculation unit and a screening unit;

[0100] The efficiency calculation unit is used to collect the electrolytic cell current Q, static liquid flow Jtyl and static time Jtsj during the electrolytic cell process. After dimensionless processing, the hydrogen production efficiency index xLz is calculated using the following formula:

[0101] ;

[0102] ;

[0103] Where Qcl represents the actual measured amount of hydrogen produced by electrolysis, and Qth represents the theoretical hydrogen production, which is the theoretical amount of hydrogen produced at a given current calculated based on Faraday's law and the reaction equation.

[0104] Jtsj represents the static time, which is the duration of the electrolysis process. The static liquid flow Jtyl represents the flow rate of the electrolyte in the electrolytic cell. M represents the molar mass of the gas. The inverse of molar mass is called molar volume, which is used to calculate the volume of the gas. Here, it is the molar mass of hydrogen produced. The amount of charge obtained by electrolysis is calculated based on the current and electrolysis time. The charge number is the number of electrons. It is set to 1, indicating that each electron corresponds to one charge. The number of moles of hydrogen is obtained based on the molar ratio in the chemical equation of the electrolysis products.

[0105] The screening unit is used to compare the hydrogen production efficiency index xLz with the efficiency threshold Y. For the electrolytic cell region where the hydrogen production efficiency index xLz is less than the efficiency threshold Y, it indicates that the hydrogen production efficiency is unqualified; for the electrolytic cell region where the hydrogen production efficiency index xLz is greater than or equal to the efficiency threshold Y, it indicates that the hydrogen production efficiency is qualified.

[0106] The areas where the hydrogen production efficiency index xLz is lower than the efficiency threshold Y are counted. If the ratio exceeds 30% in the total electrolytic cell area, it means that the ratio is exceeded. Further analysis and maintenance of the electrolytic cells with unqualified hydrogen production efficiency are required, and regional electrolytic cell image acquisition instructions and regional sensor acquisition instructions are issued.

[0107] In this embodiment, the hydrogen production efficiency index xLz is calculated by the efficiency calculation unit in combination with the electrolytic cell current, static liquid flow and static time parameters. In this way, the hydrogen production efficiency of the electrolytic cell can be objectively evaluated, providing data support for subsequent monitoring and maintenance. Through the screening unit, the calculated hydrogen production efficiency index is compared with the set efficiency threshold to automatically determine whether the hydrogen production efficiency of the electrolytic cell area is qualified. When the efficiency is lower than the threshold, it means that the hydrogen production efficiency is unqualified and requires further processing. When the ratio of electrolytic cell areas with unqualified hydrogen production efficiency exceeds the preset ratio, the system can promptly issue image acquisition instructions and regional sensor acquisition instructions to further analyze and maintain the abnormal area. This helps to promptly discover and deal with problems that restrict hydrogen production efficiency and improve overall production efficiency. Administrators can flexibly adjust the threshold and ratio of unqualified efficiency according to actual conditions to adapt to different production needs and conditions, thereby improving the applicability and flexibility of the system.

[0108] Example 4: This example is an explanation based on Example 1. Figure 1 As shown, specifically, the first acquisition module performs the following steps:

[0109] S1. Once a regional electrolytic cell image acquisition instruction is received, first confirm the regional number or coordinates of each unqualified efficiency region;

[0110] S2. Then, using an image acquisition device, take a high-resolution photo of each electrolytic cell in the unqualified efficiency area to obtain an image of the regional electrolytic cell;

[0111] S3. After preprocessing the collected regional electrolytic cell images including denoising, contrast enhancement, and brightness adjustment, a regional image set is constructed by aggregation.

[0112] In this embodiment, the first acquisition module accurately captures images of the electrolytic cell for each substandard efficiency zone and improves image quality through preprocessing, providing reliable data support for subsequent image analysis and processing. This helps to promptly detect abnormalities and take appropriate measures, thereby improving the effectiveness and reliability of the electrolytic cell monitoring module.

[0113] Example 5, this example is an explanation based on Example 1, as shown in FIG. Figure 1 As shown, specifically, the second acquisition module includes a sensor acquisition unit and a first calculation unit;

[0114] The sensor acquisition unit is used to collect the parameters of the electrolytic cell in the unqualified efficiency area. After the regional electrolytic cell image acquisition instruction is completed, the second sensor is used to acquire the temperature Jt, pressure Jy and stirring rate Js in the electrolytic cell in each area;

[0115] The second sensor includes a temperature sensor, a pressure sensor and a magnetic fluid sensor;

[0116] The temperature Jt in the electrolytic cell is directly measured by a temperature sensor;

[0117] The pressure Jy is measured by a pressure sensor and represents the pressure exerted by the gas inside the electrolytic cell on the container wall;

[0118] The stirring rate Js is obtained by collecting the movement of the magnetic stirring bar in the electrolytic cell through a magnetic fluid sensor;

[0119] The first calculation unit is used to collect the temperature Jt, pressure Jy and stirring rate Js in the same electrolytic cell in the same area and perform linear normalization processing, and map the corresponding data values ​​in the interval [0, 1], and then generate the first quality index ZL1 according to the following formula:

[0120] ;

[0121] in, To measure the average value of the electrolytic cell temperature in each monitoring period, is the average value of the measured pressure during the monitoring period; is the mean value of the stirring rate measured during the monitoring period; α, β, and γ are weight coefficients: 0≤β≤1, 0≤α≤1, 0≤γ≤1, and α+β+γ=1, where i=1, 2, ..., n, where n is the number of the monitoring period and is a positive integer greater than 1.

[0122] In this embodiment, the sensor acquisition unit is used to collect electrolytic cell parameters in areas with substandard efficiency. After the regional electrolytic cell image acquisition instruction is completed, the second sensor collects the internal temperature Jt, pressure Jy, and stirring rate Js parameters of the electrolytic cell in each area. The first calculation unit processes and comprehensively evaluates the collected parameters to generate a representative first quality index ZL1. This index reflects the comprehensive situation of the temperature, pressure, and stirring rate parameters within the electrolytic cell, which can be used to evaluate and quantify the operating status of the electrolytic cell. This design can promptly detect abnormal conditions within the electrolytic cell, help improve the stability and efficiency of the system, and ensure the smooth progress of the hydrogen production process.

[0123] Example 6, this example is an explanation based on Example 1, as shown in FIG. Figure 1 As shown, specifically, the image recognition and analysis module includes a feature extraction unit and a second calculation unit;

[0124] The feature extraction unit is used to extract relevant features from each electrolytic cell image in the regional image set;

[0125] Relevant characteristics include:

[0126] Electrolytic cell electrode spacing J: The distance between electrodes is measured using image processing technology;

[0127] Electrolytic cell electrode surface defect area X: Identify cracks, oxidation and fouling characteristics on the electrode surface and use processing algorithms to monitor the defect area on the electrode surface;

[0128] Battery surface area L: Monitor the battery boundary and calculate the area through image segmentation technology;

[0129] Gas foam distribution in the electrolytic cell: The gas foam size c and quantity SL in the electrolytic cell in the image are monitored by image analysis technology, and the gas foam distribution density Md is calculated using the following formula:

[0130] ;

[0131] The second calculation unit is used to extract the electrolytic cell electrode spacing J, the electrolytic cell electrode surface defect area X, the battery surface area L, and the gas foam distribution density Md. After dimensionless processing, the second quality index ZL2 is generated using the following formula:

[0132] ;

[0133] Where, represents the nonlinear effect of gas foam distribution density, and divided by In order to normalize it to the range of [0, 1], the meaning of the formula is that, taking into account various parameters affecting the quality of the circulation pool, the electrolytic cell electrode spacing J and the electrolytic cell electrode surface defect area X will affect the efficiency of the continuous reaction, while the gas foam distribution density MD affects the gas release rate and the stability of the continuous process.

[0134] In this embodiment, the extracted features are comprehensively analyzed and evaluated by the second calculation unit to obtain a representative second quality index ZL2. This formula comprehensively considers the impact of the electrode spacing, electrode surface defects, battery surface area, and gas foam distribution density parameters of the electrolytic cell on the quality of the circulation pool. It can help the system monitor the status of the electrolytic cell in real time and make timely adjustments, thereby improving the stability and efficiency of the system and ensuring the smooth progress of the hydrogen production process.

[0135] Example 7, this example is an explanation based on Example 1, as shown in Figure 1 As shown, specifically, the control module includes a first evaluation unit and a second evaluation unit;

[0136] The first evaluation unit is configured to compare the first quality index ZL1 with the first threshold Y1 to obtain a first evaluation result, including:

[0137] When the first quality index ZL1 is greater than the first threshold Y1, it indicates that the temperature Jt, pressure Jy, and stirring rate Js in the electrolytic cell are abnormal, and a first unqualified label is generated;

[0138] When the first quality index ZL1 ≤ the first threshold Y1, it means that the temperature Jt, pressure Jy and stirring rate Js in the electrolytic cell are within the qualified range, and a first qualified label is generated;

[0139] The second evaluation unit is configured to compare the second quality index ZL2 with the second threshold value Y2 to obtain a second evaluation result, including:

[0140] When the second quality index ZL2 is greater than the second threshold value Y2, it indicates that there are abnormalities in the electrolytic cell electrode spacing J, the electrolytic cell electrode surface defect area X, the battery surface area L, and the gas foam distribution density Md, and a second unqualified label is generated;

[0141] When the second quality index ZL2 ≤ the second threshold Y2, it indicates that the electrolytic cell electrode spacing J, the electrolytic cell electrode surface defect area X, the battery surface area L, and the gas foam distribution density Md are within the normal range, and a second qualified label is generated.

[0142] In this embodiment, the first evaluation unit and the second evaluation unit of the control module can timely evaluate the status of the electrolytic cell and generate corresponding labels according to the evaluation results, which is beneficial for the system to identify and handle abnormal situations, thereby improving the stability and efficiency of the system.

[0143] Example 8, this example is an explanation based on Example 7, as shown in FIG. Figure 1 As shown, specifically, the control module further includes a difference calculation unit;

[0144] The difference calculation unit is used to extract the first quality index ZL1 and the second quality index ZL2 of the first unqualified label and the second unqualified label, and obtain the first difference D1 and the second difference D2 by the following formula;

[0145] .

[0146] The control module also includes a priority unit;

[0147] Construct the regulatory priority Yx for each region J The specific method is as follows: After linear normalization of the first difference D1 and the second difference D2, the corresponding data values ​​are mapped to the interval [0, 1], and then calculated according to the following formula:

[0148] ;

[0149] Where k is the number of first unqualified labels generated by the electrolytic cells in the area during the test duration, i=1, 2, ..., k; To set the maximum first difference threshold; D 1i The first difference value of the first unqualified label generated for the i-th regional electrolytic cell, D 2i A second difference value for generating a second unqualified label for the regional electrolytic cells; m is the number of unqualified electrolytic cells in the region, i=1, 2, ..., m; is the maximum first difference threshold; ε and δ weight coefficients: 0≤ε≤1, 0≤δ≤1, and ε+δ=1, the weight coefficients are obtained by the hierarchical analysis method;

[0150] When in use, according to the control priority Yx J And the pre-built maintenance plan library generates corresponding strategies according to the generation strategy unit, and adjusts the priority Yx J Sequential priority control and maintenance are performed from large to small, and are marked prominently in the 3D model of the production line.

[0151] In this embodiment, the first difference D1 It represents the deviation between the temperature, pressure and stirring rate parameters in the electrolytic cell and the expected values. When the first difference is greater than zero, it indicates that at least one of these parameters is not within the expected range, and there may be an abnormality that requires further investigation and processing. Therefore, the beneficial effect of the first difference is to promptly detect system operation abnormalities and help locate and solve problems. The second difference D2 reflects the deviation between the quality indicators of the electrolytic cell electrode spacing, electrode surface defect area, battery surface area and gas foam distribution density and the expected values. When the second difference exceeds the threshold, it means that there is a problem with the quality of the electrolytic cell, and the operating parameters may need to be adjusted or maintenance may be performed. Therefore, the beneficial effect of the second difference is to help discover problems inside the electrolytic cell, thereby improving hydrogen production efficiency and system stability.

[0152] Based on control priorities, each area can be controlled and maintained in an orderly manner, with higher-priority areas being prioritized to ensure system stability and efficiency. High-priority areas will receive more attention and processing from the system more quickly, ensuring focused attention on system operations and efficient resource allocation.

[0153] Example 9, this example is an explanation based on Example 8, as shown in FIG. Figure 1 As shown, specifically, the control module also includes a strategy generation unit;

[0154] The strategy generation unit is used to associate the first evaluation result and the second evaluation result of each region, and generate a corresponding strategy by matching, including:

[0155] If the first evaluation result is a first qualified label and the second evaluation result is a second unqualified label, a first strategy is generated, including: maintaining the current operating parameters unchanged. At this time, the temperature, pressure, and stirring rate in the electrolytic cell are already within the qualified range and do not need to be adjusted; paying special attention to the indicators marked as abnormal in the second evaluation, adjusting the electrode spacing J of the electrolytic cell, cleaning or repairing the electrode surface, optimizing and increasing the size of the electrolytic cell, and changing the position of the gas release channel to adjust the distribution of gas bubbles;

[0156] If the first evaluation result is a first unqualified label and the second evaluation result is a second qualified label, a second strategy is generated to adjust and optimize the temperature Jt, pressure Jy and stirring rate Js in the electrolytic cell of the first unqualified label until they are adjusted to the qualified range;

[0157] If the first evaluation result is the first unqualified label and the second evaluation result is the second unqualified label, a third strategy is generated to adjust the temperature Jt, pressure Jy and stirring rate Js in the electrolytic cell, adjust the electrode spacing J of the electrolytic cell, clean or repair the electrode surface, optimize and increase the size of the electrolytic cell, and change the position of the gas release channel to adjust the distribution of gas bubbles.

[0158] In this embodiment, the implementation of these strategies is conducive to timely adjustment of the operating status of the electrolytic cell system, improving hydrogen production efficiency, ensuring system stability and reliability, and thus promoting the continuous operation of the production line and the improvement of production capacity.

Claims

1. The operation control system of the water electrolysis hydrogen production, storage and supply system is characterized by: include: The electrolytic cell monitoring module is used to divide several electrolytic cells into several areas, construct a hydrogen production efficiency index xLz based on the electrolytic cell power data in each area, and use this to screen out unqualified efficiency areas from each area. If the ratio of unqualified efficiency areas exceeds expectations, a regional electrolytic cell image acquisition instruction and a regional sensor acquisition instruction are issued to the unqualified efficiency area; The first acquisition module is configured to receive a regional electrolytic cell image acquisition instruction, acquire images of the electrolytic cells in each substandard efficiency area, and pre-process the acquired regional electrolytic cell images to aggregate and construct a regional image set; The second acquisition module is used to receive the regional sensor acquisition instruction, acquire the temperature Jt, pressure Jy and stirring rate Js in the electrolytic cell in each area through the second sensor, and construct the first quality index ZL1; The second acquisition module includes a sensor acquisition unit and a first calculation unit; The sensor acquisition unit is used to collect the parameters of the electrolytic cell in the unqualified efficiency area. After the regional electrolytic cell image acquisition instruction is completed, the second sensor is used to acquire the temperature Jt, pressure Jy and stirring rate Js in the electrolytic cell in each area; The second sensor includes a temperature sensor, a pressure sensor and a magnetic fluid sensor; The temperature Jt in the electrolytic cell is directly measured by a temperature sensor; The pressure Jy is measured by a pressure sensor and represents the pressure exerted by the gas inside the electrolytic cell on the container wall; The stirring rate Js is obtained by collecting the movement of the magnetic stirring bar in the electrolytic cell through a magnetic fluid sensor; An image recognition and analysis module constructs a second quality index ZL2 by identifying the electrolytic cell electrode spacing J, the electrolytic cell electrode surface defect area X, the battery surface area L, and the gas foam distribution in the electrolytic cell in the acquired regional image set; The control module evaluates the first quality index ZL1 and the second quality index ZL2 respectively, obtains corresponding difference features, and matches corresponding regional control solutions for each region based on the difference features; And build the control priority Yx J , in order to regulate each region.

2. The operation control system of the water electrolysis hydrogen production, storage and supply system according to claim 1, characterized in that: The electrolytic cell monitoring module includes a three-dimensional model building unit, a deployment unit and a power collection unit; Establish a 3D model unit to collect design drawings and technical parameters of the water electrolysis hydrogen production, hydrogen storage and supply production line; Based on the design drawings and technical parameters, use AutoCAD, SolidWorks, Blender, or SketchUp 3D modeling software to create a 3D model of the production line. The 3D model of the production line includes the electrolytic cell, hydrogen storage equipment, hydrogen supply equipment, pipelines, valves, connectors, and brackets; After the 3D model of the production line is established, it is exported to 3D STL, OBJ, and STEP formats; The deployment unit is used to divide several electrolytic cells into p areas in the three-dimensional model of the production line, according to QY1, QY2, QY3, ⋯, QY p Mark p regions; Installing a first sensor in each zone; The power acquisition unit is used to acquire electrolytic cell power data through the first sensor; The first sensor includes a gas sensor, a current sensor, a flow sensor and a time sensor; The actual measured electrolytic hydrogen production Qcl is obtained by measuring with a gas sensor; The electrolytic cell current Q during the electrolytic cell process is measured by a current sensor; The static liquid flow Jtyl is measured and obtained by using a flow sensor in the electrolyte flow pipe; The static time Jtsj is obtained by measuring the time sensor.

3. The operation control system of the water electrolysis hydrogen production, storage and supply system according to claim 1, characterized in that: The electrolytic cell monitoring module includes an efficiency calculation unit and a screening unit; The efficiency calculation unit is used to collect the electrolytic cell current Q, static liquid flow Jtyl and static time Jtsj during the electrolytic cell process. After dimensionless processing, the hydrogen production efficiency index xLz is calculated using the following formula: ； ； Where Qcl represents the actual measured amount of hydrogen produced by electrolysis, and Qth represents the theoretical hydrogen production, which is the theoretical amount of hydrogen produced at a given current calculated based on Faraday's law and the reaction equation. Jtsj represents the static time, which is the duration of the electrolysis process. The static liquid flow Jtyl represents the flow rate of the electrolyte in the electrolytic cell. M represents the molar mass of the gas. The inverse of molar mass is called molar volume, which is used to calculate the volume of the gas. Here, it is the molar mass of hydrogen produced. The amount of charge obtained by electrolysis is calculated based on the current and electrolysis time. The charge number is the number of electrons. It is set to 1, indicating that each electron corresponds to one charge. The number of moles of hydrogen is obtained based on the molar ratio in the chemical equation of the electrolysis products. The screening unit is used to compare the hydrogen production efficiency index xLz with the efficiency threshold Y. For the electrolytic cell region where the hydrogen production efficiency index xLz is less than the efficiency threshold Y, it indicates that the hydrogen production efficiency is unqualified; for the electrolytic cell region where the hydrogen production efficiency index xLz is greater than or equal to the efficiency threshold Y, it indicates that the hydrogen production efficiency is qualified. The areas where the hydrogen production efficiency index xLz is lower than the efficiency threshold Y are counted. If the ratio exceeds 30% in the total electrolytic cell area, it means that the ratio is exceeded. Further analysis and maintenance of the electrolytic cells with unqualified hydrogen production efficiency are required, and regional electrolytic cell image acquisition instructions and regional sensor acquisition instructions are issued.

4. The operation control system of the water electrolysis hydrogen production, storage and supply system according to claim 1, characterized in that: The specific steps of the first acquisition module are: S1. Once a regional electrolytic cell image acquisition instruction is received, first confirm the regional number or coordinates of each unqualified efficiency region; S2. Then, using an image acquisition device, take a high-resolution photo of each electrolytic cell in the unqualified efficiency area to obtain an image of the regional electrolytic cell; S3. After preprocessing the collected regional electrolytic cell images including denoising, contrast enhancement, and brightness adjustment, a regional image set is constructed by aggregation.

5. The operation control system of the water electrolysis hydrogen production, storage and supply system according to claim 1, characterized in that: The first calculation unit is used to aggregate the temperature Jt, pressure Jy and stirring rate Js in the same electrolytic cell in the same area and perform linear normalization processing, and map the corresponding data values ​​in the interval [0, 1], and then generate a first quality index ZL1 according to the following formula: ； in, To measure the average value of the electrolytic cell temperature in each monitoring period, is the average value of the measured pressure during the monitoring period; is the mean value of the stirring rate measured during the monitoring period; α, β, and γ are weight coefficients: 0≤β≤1, 0≤α≤1, 0≤γ≤1, and α+β+γ=1, where i=1, 2,⋯,n, and n is the number of monitoring periods, which is a positive integer greater than 1.

6. The operation control system of the water electrolysis hydrogen production, storage and supply system according to claim 1, characterized in that: The image recognition and analysis module includes a feature extraction unit and a second calculation unit; The feature extraction unit is used to extract relevant features from each electrolytic cell image in the regional image set; Relevant characteristics include: Electrolytic cell electrode spacing J: The distance between electrodes is measured using image processing technology; Electrolytic cell electrode surface defect area X: Identify cracks, oxidation and fouling characteristics on the electrode surface and use processing algorithms to monitor the defect area on the electrode surface; Battery surface area L: Monitor the battery boundary and calculate the area through image segmentation technology; Gas foam distribution in the electrolytic cell: The gas foam size c and quantity SL in the electrolytic cell in the image are monitored by image analysis technology, and the gas foam distribution density Md is calculated using the following formula: ； The second calculation unit is used to extract the electrolytic cell electrode spacing J, the electrolytic cell electrode surface defect area X, the battery surface area L, and the gas foam distribution density Md. After dimensionless processing, the second quality index ZL2 is generated using the following formula: ； Where, represents the nonlinear effect of gas foam distribution density, and divided by In order to normalize it to the range of [0, 1], the meaning of the formula is that, taking into account various parameters affecting the quality of the circulation pool, the electrolytic cell electrode spacing J and the electrolytic cell electrode surface defect area X will affect the efficiency of the continuous reaction, while the gas foam distribution density MD affects the gas release rate and the stability of the continuous process.

7. The operation control system of the water electrolysis hydrogen production, storage and supply system according to claim 1, characterized in that: The control module includes a first evaluation unit and a second evaluation unit; The first evaluation unit is configured to compare the first quality index ZL1 with the first threshold Y1 to obtain a first evaluation result, including: When the first quality index ZL1 is greater than the first threshold Y1, it indicates that the temperature Jt, pressure Jy, and stirring rate Js in the electrolytic cell are abnormal, and a first unqualified label is generated; When the first quality index ZL1 ≤ the first threshold Y1, it means that the temperature Jt, pressure Jy and stirring rate Js in the electrolytic cell are within the qualified range, and a first qualified label is generated; The second evaluation unit is configured to compare the second quality index ZL2 with the second threshold value Y2 to obtain a second evaluation result, including: When the second quality index ZL2 is greater than the second threshold value Y2, it indicates that there are abnormalities in the electrolytic cell electrode spacing J, the electrolytic cell electrode surface defect area X, the battery surface area L, and the gas foam distribution density Md, and a second unqualified label is generated; When the second quality index ZL2 ≤ the second threshold Y2, it indicates that the electrolytic cell electrode spacing J, the electrolytic cell electrode surface defect area X, the battery surface area L, and the gas foam distribution density Md are within the normal range, and a second qualified label is generated.

8. The operation control system of the water electrolysis hydrogen production, storage and supply system according to claim 7, characterized in that: The control module further includes a difference calculation unit; The difference calculation unit is used to extract the first quality index ZL1 and the second quality index ZL2 of the first unqualified label and the second unqualified label, and obtain the first difference D1 and the second difference D2 by the following formula; 。 9. The operation control system of the water electrolysis hydrogen production, storage and supply system according to claim 7, characterized in that: The control module also includes a strategy generation unit; The strategy generation unit is used to associate the first evaluation result and the second evaluation result of each region, and generate a corresponding strategy by matching, including: If the first evaluation result is a first qualified label and the second evaluation result is a second unqualified label, a first strategy is generated, including: maintaining the current operating parameters unchanged. At this time, the temperature, pressure, and stirring rate in the electrolytic cell are already within the qualified range and do not need to be adjusted; paying special attention to the indicators marked as abnormal in the second evaluation, adjusting the electrode spacing J of the electrolytic cell, cleaning or repairing the electrode surface, optimizing and increasing the size of the electrolytic cell, and changing the position of the gas release channel to adjust the distribution of gas bubbles; If the first evaluation result is a first unqualified label and the second evaluation result is a second qualified label, a second strategy is generated to adjust and optimize the temperature Jt, pressure Jy and stirring rate Js in the electrolytic cell of the first unqualified label until they are adjusted to the qualified range; If the first evaluation result is the first unqualified label and the second evaluation result is the second unqualified label, a third strategy is generated to adjust the temperature Jt, pressure Jy and stirring rate Js in the electrolytic cell, adjust the electrode spacing J of the electrolytic cell, clean or repair the electrode surface, optimize and increase the size of the electrolytic cell, and change the position of the gas release channel to adjust the distribution of gas bubbles.

10. The operation control system of the water electrolysis hydrogen production, storage and supply system according to claim 8, characterized in that: The control module further includes a priority unit; Construct the regulatory priority Yx for each region J The specific method is as follows: After linear normalization of the first difference D1 and the second difference D2, the corresponding data values ​​are mapped to the interval [0, 1], and then calculated according to the following formula: ； Where k is the number of first unqualified labels generated by the electrolytic cell in the area during the test duration, i=1, 2, ⋯, k; To set the maximum first difference threshold; D 1i The first difference value of the first unqualified label generated for the i-th regional electrolytic cell, D 2i A second difference value for generating a second unqualified label for the regional electrolytic cell; m is the number of unqualified electrolytic cells in the region, i=1, 2, ⋯, m; is the maximum first difference threshold; ε and δ weight coefficients: 0≤ε≤1, 0≤δ≤1, and ε+δ=1, the weight coefficients are obtained by the hierarchical analysis method; When in use, according to the control priority Yx J And the pre-built maintenance plan library generates corresponding strategies according to the generation strategy unit, and adjusts the priority Yx J Sequential priority control and maintenance are performed from large to small, and are marked prominently in the 3D model of the production line.

Images