An electrolytic water hydrogen production tank operation state evaluation method, system, device and medium

Abstract

The application discloses a kind of water electrolysis hydrogen production tank operating state evaluation method, system, equipment and medium, mainly related to state evaluation technical field, to solve the problem that existing scheme does not fully consider the characteristic difference of different running stages of water electrolysis hydrogen production tank, unified evaluation model and formula are used, it is difficult to adapt to the running state evaluation demand of equipment full life cycle, leading to the problem that evaluation result exists hysteresis. Including: reading physical quantity parameter from operating state evaluation formula tree, determining the collection data corresponding to the physical quantity parameter from the collection database;Through the preset collection terminal corresponding to the water electrolysis hydrogen production tank, real-time collection data is uploaded into the collection database;When the collection data in the collection database is inconsistent, update the physical quantity parameter according to the conversion relationship and the corresponding relationship, obtain the latest operating state evaluation value by operating state evaluation total formula;According to the specific falling range of operating state evaluation value, the health status of current water electrolysis hydrogen production tank is determined.

Description

Technical Field

[0001] This application relates to the field of operational status assessment technology, and in particular to a method, system, equipment and medium for assessing the operational status of a water electrolysis hydrogen production cell. Background Technology

[0002] In the field of clean energy development and utilization, water electrolysis for hydrogen production is widely used due to its environmentally friendly and efficient characteristics. As a core piece of equipment, the operating status of the water electrolysis hydrogen production cell directly affects hydrogen production efficiency and system safety; therefore, assessing its operating status is crucial. Existing technologies for assessing the operating status of water electrolysis hydrogen production cells mostly collect physical parameters such as voltage, current, and temperature during equipment operation, relying on preset assessment indicators or simple calculation formulas to derive assessment results. These technologies typically involve the use of corresponding data acquisition terminals and data storage databases to collect and store basic data, providing data support for operating status assessment.

[0003] However, existing assessment technologies have significant shortcomings. Most technologies do not fully consider the characteristics of different operating stages of water electrolysis hydrogen production cells, and use uniform assessment models and formulas, making it difficult to adapt to the operational status assessment needs of the entire equipment lifecycle. At the same time, when the collected data is updated, it is not possible to quickly update relevant parameters and recalculate assessment values, resulting in assessment results that are lagging behind and cannot accurately and in real time reflect the true health status of the equipment, affecting the timeliness and effectiveness of operation and maintenance decisions. Summary of the Invention

[0004] This application provides a method, system, equipment, and medium for evaluating the operating status of a water electrolysis hydrogen production tank, in order to solve the problems that existing solutions do not fully consider the characteristic differences of water electrolysis hydrogen production tanks at different operating stages, use a uniform evaluation model and formula, which makes it difficult to adapt to the operating status evaluation needs of the entire equipment life cycle and results in a lag in the evaluation results.

[0005] Firstly, this application provides a method for evaluating the operating status of a water electrolysis hydrogen production cell, the method comprising: Obtain the operational status assessment formula tree of the current model of water electrolysis hydrogen production cell at each stage; where the root node of the operational status assessment formula tree is the general operational status assessment formula, the intermediate nodes are the calculation formulas of the intermediate data involved in the general operational status assessment formula, and the leaf nodes are the physical quantity parameters to be collected. Based on the operating time of the water electrolysis hydrogen production cell, determine the operating status assessment formula tree corresponding to the current operating stage; read the physical quantity parameters from the operating status assessment formula tree, and determine the corresponding collected data of the physical quantity parameters from the data collection database; establish the conversion relationship and correspondence between the physical quantity parameters and the collected data. Real-time data is uploaded to the data acquisition database via the preset acquisition terminal corresponding to the water electrolysis hydrogen production cell. When the data at the current acquisition time point in the data acquisition database is inconsistent with the data at the previous acquisition time point, the physical quantity parameters are updated according to the conversion relationship and the correspondence relationship. The latest operating status assessment value is obtained through the general formula for operating status assessment. The health status of the water electrolysis hydrogen production cell is determined according to the specific range in which the operating status assessment value falls.

[0006] In one implementation of this application, obtaining the operational status evaluation formula tree of the current model of water electrolysis hydrogen production cell at each stage specifically includes: Obtain the operational status evaluation formula tree for each stage and read all physical quantity parameters; Determine whether all physical quantity parameters exist in the currently acquired database; When any physical quantity parameter does not exist in the current acquisition database, the corresponding preset acquisition terminal is obtained through the preset interface, and the data storage location of the corresponding preset acquisition terminal is updated to the current acquisition database. When all physical quantity parameters exist in the current acquisition database, store the operating status evaluation formula tree.

[0007] In one implementation of this application, an operational status evaluation formula tree corresponding to the current operational stage is determined based on the operating time of the water electrolysis hydrogen production cell, specifically including: The process involves obtaining the operating time of the water electrolysis hydrogen production cell, comparing the operating time with a preset stage threshold table, traversing the stage threshold table in sequence, locating the minimum upper bound interval to which the operating time belongs, and thus determining the current operating stage. After determining the current operating phase, the corresponding operating status evaluation formula tree is loaded from the model-specific formula tree repository.

[0008] In one implementation of this application, physical quantity parameters are read from the operational status evaluation formula tree, and the corresponding acquired data for the physical quantity parameters are determined from the acquisition database; establishing the conversion and correspondence between the physical quantity parameters and the acquired data specifically includes: Read physical quantity parameters from the operational status evaluation formula tree and construct a set of physical quantity parameters; Extract the preset acquisition terminal identifier corresponding to each physical quantity parameter in the physical quantity parameter set; perform index matching in the acquisition database according to the preset acquisition terminal identifier, and acquire data belonging to the same preset acquisition terminal identifier; Based on the unit specifications, range, and data processing rules of the physical quantity parameters defined in the operational status evaluation formula tree, establish the conversion relationship between physical quantity parameters and collected data.

[0009] In one implementation of this application, real-time data is uploaded to a data acquisition database via a preset acquisition terminal corresponding to the water electrolysis hydrogen production cell. When the data at the current acquisition time point in the data acquisition database is inconsistent with the data at the previous acquisition time point, the physical quantity parameters are updated according to the conversion relationship and the correspondence relationship. The latest operating status assessment value is obtained through the general formula for operating status assessment, specifically including: Data is collected in real time through the preset acquisition terminal corresponding to the water electrolysis hydrogen production cell and pushed to the acquisition database at fixed intervals; the real-time acquired data includes timestamps, preset acquisition terminal identifiers, and raw values. Based on the correspondence, listen for the write events of the collected data corresponding to each physical quantity parameter in the database. When it is detected that the new collected data is not equal to the previous valid record, the parameter update process is triggered. Based on the transformation relationship, the collected data is converted into corresponding physical quantity parameters. The updated physical quantity parameters are then injected into the calculation context of the overall formula for operational status evaluation. The intermediate nodes are solved layer by layer from bottom to top according to the topology of the formula tree, and finally the operational status evaluation value of the root node is output.

[0010] In one implementation of this application, after determining the current health status of the water electrolysis hydrogen production cell based on the specific range within which the operating status assessment value falls, the method further includes: When the health status is in the warning or fault state, the latest physical quantity parameters are obtained; the latest physical quantity parameters are input into the trained neural network model to obtain the fault analysis results; The fault analysis results and the latest physical parameters are sent to the preset maintenance terminal.

[0011] Secondly, this application provides an operational status assessment system for a water electrolysis hydrogen production cell, the system comprising: The acquisition module is used to acquire the operation status evaluation formula tree of the current model of water electrolysis hydrogen production cell at each stage; wherein, the root node of the operation status evaluation formula tree is the general operation status evaluation formula, the intermediate nodes are the calculation formulas of the intermediate data involved in the general operation status evaluation formula, and the leaf nodes are the physical quantity parameters to be collected. A module is established to determine the operating status assessment formula tree corresponding to the current operating stage based on the operating time of the water electrolysis hydrogen production cell; physical quantity parameters are read from the operating status assessment formula tree, and the corresponding collected data of the physical quantity parameters are determined from the data acquisition database; the conversion relationship and correspondence between the physical quantity parameters and the collected data are established. The determination module is used to upload real-time collected data to the collection database through the preset collection terminal corresponding to the water electrolysis hydrogen production cell; when the data collected at the current collection time point in the collection database is inconsistent with the data collected at the previous collection time point, the physical quantity parameters are updated according to the conversion relationship and the correspondence relationship, and the latest operating status evaluation value is obtained through the general formula of operating status evaluation; the health status of the current water electrolysis hydrogen production cell is determined according to the specific range of the operating status evaluation value.

[0012] In one implementation of this application, the acquisition module includes an acquisition unit. Used to obtain the operational status evaluation formula tree for each stage and read all physical quantity parameters; Determine whether all physical quantity parameters exist in the currently acquired database; When any physical quantity parameter does not exist in the current acquisition database, the corresponding preset acquisition terminal is obtained through the preset interface, and the data storage location of the corresponding preset acquisition terminal is updated to the current acquisition database. When all physical quantity parameters exist in the current acquisition database, store the operating status evaluation formula tree.

[0013] Thirdly, this application provides an equipment for evaluating the operating status of an electrolytic water hydrogen production cell, the equipment comprising: processor; And a memory containing executable code, which, when executed, causes the processor to perform an evaluation method for the operating status of a water electrolysis hydrogen production cell, as described above.

[0014] Fourthly, this application provides a non-volatile computer storage medium storing computer instructions, which, when executed, implement a method for evaluating the operating status of a water electrolysis hydrogen production cell as described above.

[0015] As can be seen from the above technical solutions, this application has the following advantages: By constructing an operational status assessment formula tree, the adaptability and accuracy of equipment lifecycle status assessment are improved. Traditional methods use a uniform assessment model, which cannot distinguish the characteristic differences of the water electrolysis hydrogen production tank in different operating stages (such as start-up, stable period, and decline period), resulting in a disconnect between the assessment results and the actual health status. This application decomposes the overall operational status assessment formula into intermediate node calculation formulas and leaf node physical quantity parameters, forming a hierarchical formula tree structure. When the current operating stage is determined based on the running time, the corresponding formula tree branch is automatically selected, ensuring that the assessment model is highly matched with the actual operating conditions of the equipment. For example, in the start-up stage, the system focuses on monitoring parameters such as voltage fluctuations and temperature changes; while in the stable stage, it focuses on indicators such as current efficiency and gas purity. This stage-based adaptation mechanism enables the assessment results to truly reflect the operating characteristics of the equipment in each period, providing a reliable basis for operation and maintenance decisions.

[0016] By employing a real-time data linkage update mechanism, the problem of lagging assessment results is solved, enabling dynamic and accurate assessment of equipment health status. Traditional methods require manual intervention to adjust parameters during data updates, resulting in assessment values ​​failing to respond promptly to equipment changes. This application establishes the conversion and correspondence between physical quantity parameters and collected data. When real-time data in the collected database is updated, the system automatically triggers the parameter update process and recalculates the assessment value using the overall formula for operational status assessment. This closed-loop mechanism ensures that the assessment value is synchronized with the actual equipment status. For example, when a sensor detects an abnormal increase in the temperature of the electrolytic cell, the system immediately updates the relevant parameters and reassesses, adjusting the health status from "normal" to "warning." This real-time capability significantly improves the timeliness of operation and maintenance decisions, avoiding misjudgments or delays caused by data lag, and providing strong support for preventative maintenance and fault early warning. Attached Figure Description

[0017] To more clearly illustrate the technical solution of the present invention, the accompanying drawings used in the description will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart of a method for evaluating the operating status of a water electrolysis hydrogen production cell provided in an embodiment of this application.

[0019] Figure 2 This is a schematic diagram of the internal structure of an electrolytic water hydrogen production cell operation status assessment system provided in an embodiment of this application.

[0020] Figure 3 This is a schematic diagram of the internal structure of an electrolytic water hydrogen production cell operation status assessment device provided in an embodiment of this application. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Those skilled in the art should understand that the embodiments described below are merely preferred embodiments of this disclosure and do not imply that this disclosure can only be implemented through these preferred embodiments. These preferred embodiments are merely used to explain the technical principles of this disclosure and are not intended to limit the scope of protection of this disclosure. Based on the preferred embodiments provided by this disclosure, all other embodiments obtained by those skilled in the art without creative effort should still fall within the scope of protection of this disclosure.

[0023] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0024] The technical solutions proposed in the embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0025] The embodiment provides a method for evaluating the operating status of an electrolytic water hydrogen production cell, such as... Figure 1 As shown in the embodiments of this application, the method mainly includes the following steps: Step 110: Obtain the operational status evaluation formula tree of the current model of water electrolysis hydrogen production cell at each stage.

[0026] Among them, the root node of the operation status evaluation formula tree is the general operation status evaluation formula, the intermediate nodes are the calculation formulas of the intermediate data involved in the general operation status evaluation formula, and the leaf nodes are the physical quantity parameters that need to be collected.

[0027] In some embodiments, obtaining the operational status evaluation formula tree of the current model of water electrolysis hydrogen production cell at each stage specifically includes: Obtain the operational status evaluation formula tree for each stage and read all physical quantity parameters; Determine whether all physical quantity parameters exist in the currently acquired database; When any physical quantity parameter does not exist in the current acquisition database, the corresponding preset acquisition terminal is obtained through the preset interface, and the data storage location of the corresponding preset acquisition terminal is updated to the current acquisition database. When all physical quantity parameters exist in the current acquisition database, store the operating status evaluation formula tree.

[0028] It should be noted that by dynamically acquiring and verifying the data sources of physical quantity parameters, the reliability and adaptability of the operational status evaluation formula tree are enhanced. In traditional methods, the real-time data sources of certain physical quantity parameters may be ignored during formula tree construction, rendering the evaluation model unusable in practice. This method, after acquiring the formula tree, actively verifies whether the physical quantity parameters exist in the current acquisition database. If any are missing, the data storage location is updated through a preset interface, ensuring seamless integration between the formula tree and the real-time data source. This mechanism avoids evaluation interruptions caused by data source mismatches, improves system stability under complex operating conditions, and reduces the need for manual intervention.

[0029] Furthermore, the data management process is optimized by automatically storing verified formula trees. When all physical parameters exist in the acquisition database, the system directly stores the formula tree, simplifying the initialization process. This design reduces configuration complexity, improves the operability of the evaluation method, and is particularly suitable for the rapid deployment of multiple models of water electrolysis hydrogen production cells, providing maintenance personnel with a more efficient foundation for equipment status monitoring.

[0030] Step 120: Based on the operating time of the water electrolysis hydrogen production cell, determine the operating status assessment formula tree corresponding to the current operating stage; read the physical quantity parameters from the operating status assessment formula tree, and determine the corresponding acquisition data of the physical quantity parameters from the acquisition database; establish the conversion relationship and correspondence between the physical quantity parameters and the acquisition data.

[0031] Specifically, based on the operating time of the water electrolysis hydrogen production cell, the operating status assessment formula tree corresponding to the current operating stage is determined, which can be: The process involves obtaining the operating time of the water electrolysis hydrogen production cell, comparing the operating time with a preset stage threshold table, traversing the stage threshold table in sequence, locating the minimum upper bound interval to which the operating time belongs, and thus determining the current operating stage. After determining the current operating phase, the corresponding operating status evaluation formula tree is loaded from the model-specific formula tree repository.

[0032] Specifically, physical quantity parameters are read from the operational status evaluation formula tree, and the corresponding acquired data for the physical quantity parameters are determined from the acquisition database. The conversion and correspondence between the physical quantity parameters and the acquired data are established, which can be specifically as follows: Read physical quantity parameters from the operational status evaluation formula tree and construct a set of physical quantity parameters; Extract the preset acquisition terminal identifier corresponding to each physical quantity parameter in the physical quantity parameter set; perform index matching in the acquisition database according to the preset acquisition terminal identifier, and acquire data belonging to the same preset acquisition terminal identifier; Based on the unit specifications, range, and data processing rules of the physical quantity parameters defined in the operational status evaluation formula tree, establish the conversion relationship between physical quantity parameters and collected data.

[0033] It should be noted that the system achieves accurate identification of the operating stages of the water electrolysis hydrogen production cell by comparing the runtime with the stage threshold table. Traditional methods rely on human experience to determine the operating stage, which is prone to mismatch in the evaluation model due to subjective bias. By using a preset stage threshold table, the system automatically locates the minimum upper bound interval of the runtime, ensuring that the current operating stage strictly corresponds to the actual operating conditions of the equipment. For example, in different stages such as the start-up period, stable period, or decline period, the system can accurately load the corresponding evaluation formula tree, avoiding evaluation errors caused by stage misjudgment and improving the reliability of the state assessment.

[0034] Furthermore, the data acquisition and conversion process is optimized through structured matching of physical quantity parameters and collected data. In traditional methods, the correspondence between physical quantity parameters and collected data requires manual configuration, which can easily lead to data source mismatches or omissions in conversion rules. This method automatically associates data from the same source by using a preset acquisition terminal identifier index for matching, and establishes standardized conversion relationships by combining unit specifications, measurement ranges, and data processing rules. This mechanism reduces the need for manual intervention, ensures data consistency and accuracy, and provides reliable input for subsequent evaluation calculations.

[0035] Furthermore, the design of a model-specific formula tree repository enhances the system's scalability and maintainability.

[0036] Step 130: Upload real-time data to the acquisition database through the preset acquisition terminal corresponding to the water electrolysis hydrogen production cell; when the data at the current acquisition time point in the acquisition database is inconsistent with the data at the previous acquisition time point, update the physical quantity parameters according to the conversion relationship and the correspondence relationship, and obtain the latest operating status assessment value through the general formula for operating status assessment; determine the current health status of the water electrolysis hydrogen production cell according to the specific range in which the operating status assessment value falls.

[0037] In some embodiments, real-time data is uploaded to the acquisition database via a preset acquisition terminal corresponding to the water electrolysis hydrogen production cell. When the data at the current acquisition time point in the acquisition database is inconsistent with the data at the previous acquisition time point, the physical quantity parameters are updated according to the conversion relationship and the correspondence relationship. The latest operating status assessment value is obtained through the general formula for operating status assessment, specifically including: Data is collected in real time through the preset acquisition terminal corresponding to the water electrolysis hydrogen production cell and pushed to the acquisition database at fixed intervals; the real-time acquired data includes timestamps, preset acquisition terminal identifiers, and raw values. Based on the correspondence, listen for the write events of the collected data corresponding to each physical quantity parameter in the database. When it is detected that the new collected data is not equal to the previous valid record, the parameter update process is triggered. Based on the transformation relationship, the collected data is converted into corresponding physical quantity parameters. The updated physical quantity parameters are then injected into the calculation context of the overall formula for operational status evaluation. The intermediate nodes are solved layer by layer from bottom to top according to the topology of the formula tree, and finally the operational status evaluation value of the root node is output.

[0038] It should be noted that the fixed-period data push mechanism of the preset acquisition terminals enables real-time synchronization of the operating data of the water electrolysis hydrogen production cell. In traditional methods, data acquisition relies on manual triggering or non-fixed-period transmission, which can easily lead to data delays or loss. By using timestamps and preset acquisition terminal identifiers, data is ensured to be pushed to the acquisition database in an orderly manner at fixed intervals, avoiding data gaps caused by irregular transmission intervals. For example, when the equipment's operating status changes abruptly, the fixed-period push can promptly capture changes in key parameters, providing a complete data chain for subsequent evaluation and improving the timeliness of status monitoring.

[0039] Furthermore, by automating the write event listening and parameter update process, data response efficiency is optimized. Traditional methods require manual verification of data changes and manual parameter updates, limiting response speed. This method automatically detects differences between newly acquired data and the previous record by listening to database write events, triggering the parameter update process. This mechanism reduces manual intervention, ensures the real-time nature of physical quantity parameters, and, especially in the early stages of equipment failure, can quickly capture abnormal data and initiate assessment, preventing the escalation of failures due to delayed response.

[0040] Furthermore, by combining transformation relationships with the formula tree topology, dynamic and accurate calculation of evaluation values ​​is achieved. In traditional methods, data transformation and formula calculation are separated, which easily introduces errors. This method directly injects the transformed physical quantity parameters into the calculation context and solves the problem layer by layer from bottom to top according to the formula tree, ensuring the logical consistency between intermediate nodes and the root node. For example, when temperature or pressure parameters change abruptly, the system can quickly recalculate the evaluation values ​​and determine the health status, providing a reliable basis for operation and maintenance decisions and improving the level of intelligence in equipment management.

[0041] In addition, after determining the current health status of the water electrolysis hydrogen production cell based on the specific range of the operational status assessment values, the method also includes: When the health status is in the warning or fault state, the latest physical quantity parameters are obtained; the latest physical quantity parameters are input into the trained neural network model to obtain the fault analysis results; The fault analysis results and the latest physical parameters are sent to the preset maintenance terminal.

[0042] The neural network model was trained using a sample set constructed from historical operation and fault data of the water electrolysis hydrogen production cell, covering multiple operating conditions during the start-up, stable, and decline phases. The sample data includes time series of physical parameters such as voltage, current, temperature, hydrogen purity, and electrolyte concentration. Each data set is labeled with its corresponding actual fault type (e.g., membrane aging, catalyst poisoning, electrode corrosion) or normal state. The data sources are maintenance logs and sensor records from the equipment's service life, ensuring that the samples accurately reflect the operational characteristics throughout the equipment's entire lifecycle. Normalization was used to eliminate dimensional differences, and a sliding window was employed to extract dynamic correlation features, improving the model's sensitivity to time-series anomalies.

[0043] The model employs a multilayer perceptron architecture. The input layer receives standardized physical quantity parameters, the hidden layer learns the complex coupling relationships between parameters through a nonlinear activation function, and the output layer corresponds to the probability distribution of fault categories. The training process uses a cross-entropy loss function and the Adam optimizer, combined with 5-fold cross-validation to evaluate generalization ability. To prevent overfitting, a Dropout mechanism is introduced, and an early stopping strategy is implemented, terminating training when the validation set accuracy shows no improvement for five consecutive rounds.

[0044] It is worth noting that by triggering neural network model analysis when the health status is in a warning or fault state, the accuracy of fault diagnosis and the efficiency of operation and maintenance response in water electrolysis hydrogen production cells are improved. Traditional methods rely on human experience to judge the cause of faults, which is prone to misjudgment or delays due to subjectivity. This method, after determining the warning or fault state, automatically acquires the latest physical quantity parameters and inputs them into a pre-trained neural network model. This model, trained based on historical fault data, can identify complex correlation patterns between parameters and output fault analysis results. For example, when the voltage is abnormal or the gas purity decreases, the model can quickly locate potential problems such as electrolyzer membrane damage or catalyst deactivation. Subsequently, the system sends the analysis results and the latest parameters to the maintenance terminal, providing operation and maintenance personnel with clear fault location and data support, reducing troubleshooting time and avoiding ineffective maintenance due to incomplete information. This mechanism realizes a closed loop from status assessment to fault diagnosis, improving the level of intelligence in equipment management.

[0045] In addition, this application Figure 2 This application provides an embodiment of a water electrolysis hydrogen production cell operation status evaluation system. For example... Figure 2 As shown in the embodiments of this application, the system mainly includes: The acquisition module 210 is used to acquire the operating status evaluation formula tree of the current model of water electrolysis hydrogen production cell at each stage; wherein, the root node of the operating status evaluation formula tree is the general operating status evaluation formula, the intermediate nodes are the calculation formulas of the intermediate data involved in the general operating status evaluation formula, and the leaf nodes are the physical quantity parameters to be collected.

[0046] The acquisition module 210 includes an acquisition unit. Used to obtain the operational status evaluation formula tree for each stage and read all physical quantity parameters; Determine whether all physical quantity parameters exist in the currently acquired database; When any physical quantity parameter does not exist in the current acquisition database, the corresponding preset acquisition terminal is obtained through the preset interface, and the data storage location of the corresponding preset acquisition terminal is updated to the current acquisition database. When all physical quantity parameters exist in the current acquisition database, store the operating status evaluation formula tree.

[0047] Module 220 is established to determine the operating status assessment formula tree corresponding to the current operating stage based on the operating time of the water electrolysis hydrogen production cell; read physical quantity parameters from the operating status assessment formula tree; determine the corresponding acquisition data of the physical quantity parameters from the acquisition database; and establish the conversion relationship and correspondence between the physical quantity parameters and the acquisition data.

[0048] The determination module 230 is used to upload real-time collected data to the collection database through the preset collection terminal corresponding to the water electrolysis hydrogen production cell; when the data collected at the current collection time point in the collection database is inconsistent with the data collected at the previous collection time point, the physical quantity parameters are updated according to the conversion relationship and the correspondence relationship, and the latest operating status evaluation value is obtained through the general formula of operating status evaluation; the health status of the current water electrolysis hydrogen production cell is determined according to the specific range of the operating status evaluation value.

[0049] The above are method embodiments of this application. Based on the same inventive concept, this application also provides an electrolytic water hydrogen production cell operation status evaluation device. Figure 3 As shown, the device includes: a processor; and a memory storing executable code, which, when executed, causes the processor to perform a method for evaluating the operating status of a water electrolysis hydrogen production cell as described in the above embodiments.

[0050] Specifically, the server obtains the operational status assessment formula tree for the current model of water electrolysis hydrogen production cell at each stage. The root node of the operational status assessment formula tree is the overall operational status assessment formula, the intermediate nodes are the calculation formulas for the intermediate data involved in the overall operational status assessment formula, and the leaf nodes are the physical quantity parameters to be collected. Based on the operating time of the water electrolysis hydrogen production cell, the operational status assessment formula tree corresponding to the current operating stage is determined. Physical quantity parameters are read from the operational status assessment formula tree, and the corresponding collected data for these physical quantity parameters is determined from the data acquisition database. A conversion relationship and correspondence between the physical quantity parameters and the collected data are established. Real-time collected data is uploaded to the data acquisition database through the preset acquisition terminal corresponding to the water electrolysis hydrogen production cell. When the data at the current acquisition time point in the data acquisition database is inconsistent with the data at the previous acquisition time point, the physical quantity parameters are updated according to the conversion relationship and correspondence. The latest operational status assessment value is obtained through the overall operational status assessment formula. The health status of the current water electrolysis hydrogen production cell is determined based on the specific range within which the operational status assessment value falls.

[0051] In addition, this application embodiment also provides a non-volatile computer storage medium storing executable instructions, which, when executed, implement the above-described method for evaluating the operating status of a water electrolysis hydrogen production cell.

[0052] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for evaluating the operating status of a water electrolysis hydrogen production cell, characterized in that, The method includes: Obtain the operational status assessment formula tree of the current model of water electrolysis hydrogen production cell at each stage; where the root node of the operational status assessment formula tree is the general operational status assessment formula, the intermediate nodes are the calculation formulas of the intermediate data involved in the general operational status assessment formula, and the leaf nodes are the physical quantity parameters to be collected. Based on the operating time of the water electrolysis hydrogen production cell, determine the operating status assessment formula tree corresponding to the current operating stage; read the physical quantity parameters from the operating status assessment formula tree, and determine the corresponding collected data of the physical quantity parameters from the data collection database; establish the conversion relationship and correspondence between the physical quantity parameters and the collected data. Real-time data is uploaded to the data acquisition database via the preset acquisition terminal corresponding to the water electrolysis hydrogen production cell. When the data at the current acquisition time point in the data acquisition database is inconsistent with the data at the previous acquisition time point, the physical quantity parameters are updated according to the conversion relationship and the correspondence relationship. The latest operating status assessment value is obtained through the general formula for operating status assessment. The health status of the water electrolysis hydrogen production cell is determined according to the specific range in which the operating status assessment value falls.

2. The method for evaluating the operating status of an electrolytic water hydrogen production cell according to claim 1, characterized in that, Obtain the operational status evaluation formula tree for the current model of water electrolysis hydrogen production cell at each stage, specifically including: Obtain the operational status evaluation formula tree for each stage and read all physical quantity parameters; Determine whether all physical quantity parameters exist in the currently acquired database; When any physical quantity parameter does not exist in the current acquisition database, the corresponding preset acquisition terminal is obtained through the preset interface, and the data storage location of the corresponding preset acquisition terminal is updated to the current acquisition database. When all physical quantity parameters exist in the current acquisition database, store the operating status evaluation formula tree.

3. The method for evaluating the operating status of an electrolytic water hydrogen production cell according to claim 1, characterized in that, Based on the operating time of the water electrolysis hydrogen production cell, determine the operating status assessment formula tree corresponding to the current operating stage, specifically including: The process involves obtaining the operating time of the water electrolysis hydrogen production cell, comparing the operating time with a preset stage threshold table, traversing the stage threshold table in sequence, locating the minimum upper bound interval to which the operating time belongs, and thus determining the current operating stage. After determining the current operating phase, the corresponding operating status evaluation formula tree is loaded from the model-specific formula tree repository.

4. The method for evaluating the operating status of an electrolytic water hydrogen production cell according to claim 1, characterized in that, Read the physical quantity parameters from the operating status evaluation formula tree, and determine the corresponding collected data from the data collection database; Establish the conversion and correspondence between physical quantity parameters and collected data, specifically including: Read physical quantity parameters from the operational status evaluation formula tree and construct a set of physical quantity parameters; Extract the preset acquisition terminal identifier corresponding to each physical quantity parameter in the physical quantity parameter set; perform index matching in the acquisition database according to the preset acquisition terminal identifier, and acquire data belonging to the same preset acquisition terminal identifier; Based on the unit specifications, range, and data processing rules of the physical quantity parameters defined in the operational status evaluation formula tree, establish the conversion relationship between physical quantity parameters and collected data.

5. The method for evaluating the operating status of an electrolytic water hydrogen production cell according to claim 1, characterized in that, The real-time data is uploaded to the data acquisition database through the preset acquisition terminal corresponding to the water electrolysis hydrogen production cell; When the data collected at the current time point in the database is inconsistent with the data collected at the previous time point, the physical quantity parameters are updated according to the conversion and correspondence relationships. The latest operational status evaluation value is obtained through the general formula for operational status evaluation, which specifically includes: Data is collected in real time through the preset acquisition terminal corresponding to the water electrolysis hydrogen production cell and pushed to the acquisition database at fixed intervals; the real-time acquired data includes timestamps, preset acquisition terminal identifiers, and raw values. Based on the correspondence, listen for the write events of the collected data corresponding to each physical quantity parameter in the database. When it is detected that the new collected data is not equal to the previous valid record, the parameter update process is triggered. Based on the transformation relationship, the collected data is converted into corresponding physical quantity parameters. The updated physical quantity parameters are then injected into the calculation context of the overall formula for operational status evaluation. The intermediate nodes are solved layer by layer from bottom to top according to the topology of the formula tree, and finally the operational status evaluation value of the root node is output.

6. The method for evaluating the operating status of an electrolytic water hydrogen production cell according to claim 1, characterized in that, After determining the current health status of the water electrolysis hydrogen production cell based on the specific range of the operating status assessment values, the method further includes: When the health status is in the warning or fault state, the latest physical quantity parameters are obtained; the latest physical quantity parameters are input into the trained neural network model to obtain the fault analysis results; The fault analysis results and the latest physical parameters are sent to the preset maintenance terminal.

7. A system for evaluating the operational status of a water electrolysis hydrogen production cell, characterized in that, The system includes: The acquisition module is used to acquire the operation status evaluation formula tree of the current model of water electrolysis hydrogen production cell at each stage; wherein, the root node of the operation status evaluation formula tree is the general operation status evaluation formula, the intermediate nodes are the calculation formulas of the intermediate data involved in the general operation status evaluation formula, and the leaf nodes are the physical quantity parameters to be collected. A module is established to determine the operating status assessment formula tree corresponding to the current operating stage based on the operating time of the water electrolysis hydrogen production cell; physical quantity parameters are read from the operating status assessment formula tree, and the corresponding collected data of the physical quantity parameters are determined from the data acquisition database; the conversion relationship and correspondence between the physical quantity parameters and the collected data are established. The determination module is used to upload real-time collected data to the collection database through the preset collection terminal corresponding to the water electrolysis hydrogen production cell; when the data collected at the current collection time point in the collection database is inconsistent with the data collected at the previous collection time point, the physical quantity parameters are updated according to the conversion relationship and the correspondence relationship, and the latest operating status evaluation value is obtained through the general formula of operating status evaluation; the health status of the current water electrolysis hydrogen production cell is determined according to the specific range of the operating status evaluation value.

8. The electrolysis hydrogen production cell operation status evaluation system according to claim 7, characterized in that, The acquisition module includes acquisition units. Used to obtain the operational status evaluation formula tree for each stage and read all physical quantity parameters; Determine whether all physical quantity parameters exist in the currently acquired database; When any physical quantity parameter does not exist in the current acquisition database, the corresponding preset acquisition terminal is obtained through the preset interface, and the data storage location of the corresponding preset acquisition terminal is updated to the current acquisition database. When all physical quantity parameters exist in the current acquisition database, store the operating status evaluation formula tree.

9. A device for evaluating the operating status of an electrolytic water hydrogen production cell, characterized in that, The device includes: processor; And a memory having executable code stored thereon, which, when executed, causes the processor to perform a method for evaluating the operating status of a water electrolysis hydrogen production cell as described in any one of claims 1-6.

10. A non-volatile computer storage medium, characterized in that, It stores computer instructions, which, when executed, implement a method for evaluating the operating status of a water electrolysis hydrogen production cell as described in any one of claims 1-6.

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