Array group control alkaline water electrolysis cell system health assessment method and system

Abstract

The application discloses a kind of array group control alkaline water electrolytic cell system health evaluation method and system, it is related to green hydrogen hydrogen production equipment intelligent monitoring field.The method is aimed at multiple-tank parallel array system, real-time acquisition electrolytic cell voltage, gasket protrusion, gas purity, alkali concentration and other multidimensional operating parameters, after data preprocessing and feature extraction, construct the health index HI model of multi-parameter weighted fusion, realize the quantitative health score of single tank and system whole.Rely on parameter coupling relationship to carry out deterioration trend analysis and fault diagnosis, establish three-level grading early warning mechanism, and based on health state implements dynamic load distribution, targeted parameter adjustment and fault tank isolation.The application overcomes the limitation of single parameter monitoring, realizes array level comprehensive health evaluation and active intelligent control, improves system operation safety, reliability and service life, adapts to large-scale hydrogen production demand under renewable energy fluctuation scenario.

Description

Technical Field

[0001] This invention relates to the field of intelligent monitoring technology for green hydrogen production equipment, specifically to a method for assessing the health operation status of an array-controlled alkaline electrolyzer system. Background Technology

[0002] With the rapid development of the green hydrogen industry, large-scale alkaline water electrolysis hydrogen production systems generally adopt a mode of parallel operation and group control management of multiple electrolyzers to improve hydrogen production scale, enhance operational flexibility, and increase system redundancy. Array group control systems can intelligently schedule operations based on renewable energy fluctuations, enabling coordinated operation of multiple cells.

[0003] In the area of ​​health monitoring for alkaline water electrolyzers, existing technologies have been researched to some extent. For example, some patents propose methods to determine the operating status by detecting the actual operating voltage of the electrolyzer and comparing it with the upper and lower voltage limits. Other patents identify anomalies by calibrating the voltage of the non-resistive portion and determining the real-time impedance change amplitude. Regarding gas purity detection, some technologies propose setting up a gas purity detection bypass to continuously detect the hydrogen content in oxygen or the oxygen content in hydrogen to improve system safety. There are also optimized schemes for gas purity detection when multiple electrolyzers are connected in parallel. In terms of sealing performance monitoring, existing patents involve evaluating the performance of sealing gaskets by measuring the deformation displacement of the electrolyzer.

[0004] Existing drawbacks: Limitations of single-parameter monitoring: Existing technologies mostly focus on monitoring a single parameter (such as monitoring only voltage or only gas purity), lacking a multi-dimensional comprehensive assessment of the electrolyzer's health status. The health status of an electrolyzer is the result of the combined effects of multiple physical quantities; a single parameter often fails to fully reflect the system's true state, easily leading to misjudgments or omissions.

[0005] Lack of array-level health assessment system: For array group control systems, existing research mainly focuses on the coordinated control and scheduling of multiple slots, but lacks a unified method for assessing the health status of individual slots and the system as a whole. When early degradation trends appear in the array, it is difficult to identify them in a timely manner and take differentiated control measures.

[0006] The coupling relationships between various health parameters have not been utilized: there are inherent correlations among parameters such as increased electrolytic cell voltage, increased gasket protrusion, decreased gas purity, and fluctuations in alkali concentration. For example, gasket protrusion may lead to sealing failure, resulting in gas cross-contamination and decreased purity; abnormal voltage may be related to uneven alkali concentration. Existing technologies do not fully utilize the coupling information between these parameters for comprehensive diagnosis.

[0007] The lack of intelligence in early warning and control: Existing monitoring methods mostly use single-parameter threshold alarms, lack health index assessment and hierarchical early warning mechanisms based on multi-parameter fusion, and even more so, lack the means to actively differentiate and control each electrolyzer in the array based on health assessment results.

[0008] This invention provides a method and system that integrates multi-dimensional operating parameters such as electrolyzer voltage, gasket protrusion, gas purity, and alkali concentration to construct a comprehensive health assessment model. This model enables real-time health scoring, degradation trend analysis, anomaly diagnosis, and graded early warning for each individual cell and the entire system in an array-controlled alkaline water electrolyzer system. Based on this model, differentiated control can be applied to each electrolyzer in the array to improve the system's operational reliability, safety, and intelligence. Summary of the Invention

[0009] The purpose of this invention is to overcome the deficiencies in the prior art and provide a method for evaluating the health operation status of an array-controlled alkaline electrolyzer system.

[0010] To achieve the above objectives, the technical solution of the present invention is as follows: A method for assessing the health status of an array-controlled alkaline electrolyzer system includes: An array of alkaline electrolyzers, comprising several alkaline electrolyzers operating in parallel; The multi-dimensional parameter acquisition module is used to detect, record, and transmit various real-time operating data of the alkaline electrolyzer; The data preprocessing and feature extraction unit is used to normalize the raw data collected by the multidimensional parameter acquisition module and extract the feature indicators of each parameter. A comprehensive health assessment model is used to construct a multi-parameter fusion health index (HI) calculation model based on the collected parameters, and to score the health of each individual tank and the system as a whole. The degradation trend analysis and diagnosis module analyzes the changing trends of health index and individual parameters based on a historical database of operating data, predicts the remaining effective life or degradation acceleration point, and diagnoses electrolytic cell operation faults by utilizing the coupling relationship between various parameters.

[0011] Furthermore, the multi-dimensional parameter acquisition module includes: an electrolytic cell voltage acquisition unit, a gasket protrusion monitoring unit, a gas purity detection unit, an alkali concentration monitoring unit, and auxiliary parameter acquisition.

[0012] Furthermore, the formula for calculating the health index HI is as follows: HI=w1×f1(ΔV)+w2×f2(ΔD)+w3×f3(ΔP)+w4×f4(ΔC) in: ΔV: Characteristic value of voltage deviation; ΔD: Characteristic value of gasket protrusion; ΔP: Characteristic value of gas purity (e.g., hydrogen content in oxygen); ΔC: Characteristic value of alkali concentration deviation; f1, f2, f3, f4: These are the normalized scoring functions for each feature parameter (mapping the original parameters to the 0-100 score range). w1, w2, w3, w4: These are the weighting coefficients for each parameter (the scoring rule design can be determined through training on historical data). When each parameter is within the allowable range, the score decreases linearly or non-linearly with the degree of parameter deterioration. When a parameter exceeds the limit, the score for that item is 0, and mandatory intervention is triggered. Health Index HI Comprehensive Score >90 Excellent; 80-90 Good; 60-80 Attention; <60 Abnormal.

[0013] Furthermore, the normalized scoring function is: Where: x - real-time measured value; X nom - Rated / Reference Value; X limit - Alarm / Limit.

[0014] Furthermore, the weighting coefficients of each parameter sum to 1.

[0015] Furthermore, it also includes a tiered early warning and proactive control module: The aforementioned tiered early warning mechanism: Level 1 Warning: The Health Index (HI) enters the 60-80 range, or a single parameter shows slight deterioration, prompting the operator to pay attention and arrange planned maintenance; Level 2 warning: Health index HI < 60, or a single parameter exceeds the limit but does not reach the emergency threshold, triggering an audible and visual alarm. It is recommended to reduce the load on the tank or arrange for a shutdown inspection. Level 3 warning: If key parameters (such as hydrogen content in oxygen) exceed the safety threshold, or the health index HI drops sharply, an emergency shutdown will be triggered and the electrolyzer will be automatically shut down and isolated. The aforementioned active control strategy: Based on the health assessment results of each individual cell, the group control system dynamically adjusts the load distribution of each electrolyzer in the array: priority is given to allocating the load to electrolyzers with high health index, while electrolyzers with poor health status are operated with reduced load or rotated for rest. Targeted control of specific deterioration parameters: including adjusting the replenishment strategy when the alkali concentration is abnormal, and reducing the operating pressure of the tank when the gasket protrusion increases; When an electrolytic cell triggers an emergency shutdown, it is automatically isolated from the array, and the load is redistributed to the remaining electrolytic cells.

[0016] Furthermore, it also includes a human-computer interaction and data management module: used for threshold setting, weight parameter adjustment, and real-time display of health index, individual parameter scores, trend curves, and early warning information for each electrolytic cell, as well as querying historical data, generating reports and health reports.

[0017] Furthermore, the coupling relationship includes: The increased gasket protrusion and decreased gas purity indicate that gas leakage is caused by seal failure. The increase in voltage and the abnormal concentration of alkali solution indicate a problem with the alkali solution circulation system or a decrease in electrode activity. The abnormal voltage decay rate and fluctuations in gas purity indicate damage to the internal structure of the electrolytic cell.

[0018] A health operation status assessment system for an array-controlled alkaline electrolyzer system includes an assessment system comprised of the aforementioned operation status assessment method.

[0019] The advantages and beneficial effects of this invention are as follows: 1. Multi-dimensional comprehensive evaluation with high accuracy: It integrates multiple parameters such as voltage, gasket protrusion, gas purity, and alkali concentration, overcoming the limitations of single parameter monitoring and reflecting the true health status of the electrolyzer more comprehensively and accurately.

[0020] 2. Array-level health management to improve system reliability: A comprehensive health assessment system for array group control systems has been established, which can monitor each individual slot and the system as a whole at the same time, detect early deterioration trends in a timely manner, and avoid systemic problems caused by single-slot failures.

[0021] 3. Strong fault diagnosis capability: By utilizing the coupling relationship between multiple parameters, it can assist in the diagnosis of fault causes, such as distinguishing different fault types such as seal failure, electrode aging, and alkali system abnormalities.

[0022] 4. Intelligent early warning and control: The hierarchical early warning mechanism based on health index and the active load allocation control based on health status realize the transformation from "passive alarm" to "active maintenance", extend the service life of electrolytic cells and improve the economic efficiency of system operation.

[0023] 5. Support for renewable energy fluctuation scenarios: In the case of wind and solar power fluctuations, it can intelligently allocate fluctuating loads according to the health status of each cell, and prioritize the protection of electrolyzers with poor health status to prevent them from deteriorating faster.

[0024] 6. Data-driven continuous optimization: The health assessment model can be trained and optimized using historical data, and the weight coefficients can be dynamically adjusted to adapt to the characteristics of different electrolyzers and different operating stages. Attached Figure Description

[0025] Figure 1This is a flowchart illustrating a method for assessing the health status of an array-controlled alkaline electrolyzer system according to the present invention. Detailed Implementation

[0026] The specific embodiments of the present invention will be further described below with reference to examples. These examples are only used to more clearly illustrate the technical solutions of the present invention and should not be construed as limiting the scope of protection of the present invention.

[0027] This invention provides a method for assessing the health status of an array-controlled alkaline electrolyzer system, addressing the operational safety and intelligent management needs of large-scale array-controlled alkaline water electrolysis hydrogen production systems. Figure 1 As shown, a full-process health operation management system was constructed, which includes parameter acquisition, data processing, health assessment, fault diagnosis and early warning control. The overall design is based on multi-dimensional data fusion, array-level unified assessment, parameter coupling relationship mining and proactive intelligent control, which completely solves the problems of traditional single parameter monitoring being one-sided, lacking system-level health evaluation, lagging fault early warning and inability to achieve differentiated scheduling.

[0028] This solution, including an array of alkaline electrolyzers, first uses an array of multiple alkaline electrolyzers operating in parallel as the evaluation object. All parallel electrolyzers are uniformly scheduled by the group control system. A multi-dimensional parameter acquisition module comprehensively acquires key operational data of the electrolyzers. This module is used to detect, record, and transmit various real-time operational data of the alkaline electrolyzers. This module includes, but is not limited to, an electrolyzer voltage acquisition unit, a gasket protrusion monitoring unit, a gas purity detection unit, an alkaline solution concentration monitoring unit, and an auxiliary parameter acquisition unit. It can simultaneously acquire voltage, seal deformation, gas purity, alkaline solution concentration, and auxiliary operational information such as current, temperature, and pressure, achieving comprehensive perception of the electrolyzer's electrical performance, structural sealing, operational safety, and working fluid status, providing a complete and reliable data foundation for subsequent health assessments.

[0029] The data preprocessing and feature extraction unit standardizes the collected raw operating data, eliminating differences in the dimensions and numerical ranges of various parameters through normalization. Simultaneously, it extracts characteristic indicators that directly reflect the degree of equipment degradation, such as voltage deviation, voltage fluctuation amplitude, gasket protrusion and rate of change, gas purity deviation, and alkali concentration deviation. This transforms the chaotic raw data into standard feature values ​​usable for quantitative calculation, ensuring the accuracy and stability of subsequent evaluation model calculations. Based on the processed feature indicators, the solution builds a multi-parameter fusion comprehensive health assessment model. The Health Index (HI) is used to achieve a quantitative health score for a single electrolytic cell and the overall array system. Its core calculation formula is: HI=w1×f1(ΔV)+w2×f2(ΔD)+w3×f3(ΔP)+w4×f4(ΔC); in: ΔV: Characteristic value of voltage deviation; ΔD: Characteristic value of gasket protrusion; ΔP: Characteristic value of gas purity (e.g., hydrogen content in oxygen); ΔC: Characteristic value of alkali concentration deviation; f1, f2, f3, f4: These are the normalized scoring functions for each feature parameter (mapping the original parameters to the 0-100 score range). w1, w2, w3, w4: These are the weighting coefficients for each parameter, which can be determined through training with historical data. Scoring rule design; The normalized scoring function is used to map the original parameters to 0–100 points, decreasing linearly / non-linearly within the allowable range; beyond the limit, it is directly set to 0.

[0030] The unified and general form of the normalized scoring function is as follows: Where: x - real-time measured value; X nom - Rated / Reference Value; X limit - Alarm / Limit.

[0031] 1) f1(ΔV) voltage deviation score ΔV: (Measured voltage − Reference voltage) / Reference voltage; Engineering threshold: ±5% is the upper limit allowed.

[0032] 2) f2(ΔD) pad protrusion score ΔD: Real-time protrusion amount (mm); Typical limit: D max =2mm (universal for alkaline baths).

[0033] 3) f3(ΔP) gas purity score (taking hydrogen in oxygen as an example) ΔP: Hydrogen content in oxygen (vol%); Safety limit: P limit =2%.

[0034] 4) f4(ΔC) Alkali concentration deviation score ΔC: (Measured concentration − Rated concentration) / Rated concentration; Permissible fluctuation: ±10%.

[0035] w1 to w4 can be specifically corresponding to the integration of four dimensions: voltage, sealing, purity, and concentration; with safety and core performance taking priority.

[0036] Weights can be instantiated: w1 (voltage) = 0.35; w2 (shim protrusion) = 0.25; w3 (gas purity) = 0.25; w4 (alkali concentration) = 0.15; The constraint w1+w2+w3+w4=1 is satisfied.

[0037] The health index values ​​are kept stable and controllable. The normalized scoring function is based on real-time measurements, rated baseline values, and alarm limits, mapping all parameters to a score range of 0-100. When parameters are within the allowable operating range, the score decreases linearly or non-linearly with the degree of deterioration. Once a parameter exceeds the limit, the score for that parameter is directly recorded as 0, triggering mandatory intervention. The comprehensive health index score is divided into clear levels: above 90 is excellent, 80 to 90 is good, 60 to 80 is a state requiring attention, and below 60 is an abnormal state, achieving a direct and quantitative presentation of the equipment's health status.

[0038] Furthermore, relying on health indices and historical operating databases, the solution includes a degradation trend analysis and diagnosis module. This module continuously tracks the changing patterns of health indices and individual parameters, predicts the remaining effective lifespan of the equipment and degradation acceleration points, and fully explores the inherent coupling relationships between parameters to achieve accurate fault diagnosis. For example, when the gasket protrusion increases and gas purity decreases, it can be determined that a sealing failure has caused gas crosstalk. When the monitoring unit simultaneously detects a continuous increase in the gasket protrusion of a certain electrolytic cell, and the gas purity detection unit simultaneously detects a significant increase in the hydrogen content in oxygen, with both parameters showing a deterioration trend in the same direction, it can be directly determined, based on the coupling relationship between the parameters, that the electrolytic cell has a sealing failure problem. The sealing gasket between the electrode plate and the end plate cannot maintain an effective seal, leading to gas crosstalk between hydrogen and oxygen, and consequently, a deterioration in purity indicators. This diagnostic result directly points to a structural sealing defect, distinguishing it from other fault types such as electrode deterioration and electrolyte abnormalities, providing maintenance personnel with a clear direction for repair.

[0039] When a voltage increase is accompanied by an abnormal alkali concentration, it can be determined that there is a fault in the alkali circulation system or a decrease in electrode activity. When the voltage acquisition unit detects an abnormal increase in the electrolytic cell's operating voltage, and the alkali concentration monitoring unit detects that the alkali concentration deviates from the rated range and the concentration uniformity decreases, with both key parameters showing abnormalities simultaneously, the source of the fault can be determined based on the coupling relationship: an abnormality in the alkali circulation system or a decrease in electrode activity. Uneven alkali concentration directly reduces the conductivity and reaction efficiency inside the electrolytic cell, leading to an increase in operating voltage. There is a clear causal coupling relationship between the two. This combined characteristic can quickly pinpoint problems related to the working fluid and electrodes, avoiding misdiagnosis as seal damage or external power supply fluctuations.

[0040] When an abnormal voltage decay rate is accompanied by fluctuations in gas purity, it can be determined that there is damage to the internal structure of the electrolytic cell. Compared with the traditional method that can only identify abnormalities, this greatly improves the accuracy of fault location and maintenance efficiency.

[0041] To achieve a closed loop from health assessment to operational management, the solution is also equipped with a tiered early warning and proactive control module, establishing a three-tiered early warning mechanism and matching response strategies. Level 1 Warning (Attention) corresponds to a Health Index (HI) between 60 and 80 or a slight deterioration in a single parameter. It only prompts maintenance personnel to pay attention and arrange planned maintenance. Level 2 warning (abnormal) corresponds to a health index HI below 60 or a single parameter exceeding the limit but not reaching the emergency threshold, triggering an audible and visual alarm and suggesting reducing the load of the corresponding electrolytic cell or shutting down for inspection; Level 3 (emergency) warnings are triggered when key parameters such as hydrogen content in oxygen exceed safety thresholds or the health index (HI) drops sharply. Emergency shutdowns are immediately implemented, and faulty electrolyzers are automatically disconnected and isolated, balancing the rationality of the warning with operational safety.

[0042] Below are three specific examples of the Health Index (HI): Example 1: Good health Based on the data processing by the multi-dimensional parameter acquisition module and the data preprocessing and feature extraction unit, the operating parameters are obtained, for example: 1. Voltage deviation ΔV = +2.0% (limit Lᵥ = 5%); 2. Gasket protrusion ΔD = 0.8mm (limit value L) D =2mm); 3. Hydrogen content in oxygen ΔP = 0.5 vol% (limit value L) P =2vol%) 4. Alkali concentration deviation ΔC = -3.0% (limit Lc = 10%); Calculate the score item by item : f1(ΔV) = 100 × (5 − 2) / 5 = 60; f2(ΔD)=100×(2−0.8) / 2=60; f3(ΔP)=100×(2−0.5) / 2=75; f4(ΔC)=100×(10−3) / 10=70; Calculate HI: HI=0.35×60+0.25×60+0.25×75+0.15×70 HI=21+15+18.75+10.5HI=65.25 points →Level: Follow Example 2: Excellent health status Based on the data processing by the multi-dimensional parameter acquisition module and the data preprocessing and feature extraction unit, the operating parameters are obtained, for example: ΔV = +0.8% ΔD=0.2mm ΔP = 0.1 vol% ΔC = -1.0% Calculate the score item by item : f1 = 100 × (5 − 0.8) / 5 = 84; f2 = 100 × (2 − 0.2) / 2 = 90; f3 = 100 × (2 − 0.1) / 2 = 95; f4 = 100 × (10 − 1) / 10 = 90; Calculate HI HI=0.35×84+0.25×90+0.25×95+0.15×90 HI=29.4+22.5+23.75+13.5HI=89.15 points →Grade: Good (close to excellent) Example 3, Abnormal State: ΔV = 6% (exceeding limit), ΔD = 2.2mm (exceeding limit), ΔP = 2.1% (exceeding limit), ΔC = 11% (exceeding limit) →All f=0; →HI=0 points→Emergency shutdown.

[0043] Active control strategy: The system will dynamically adjust the array load distribution based on the health assessment results of each electrolyzer, giving priority to the equipment with good health status, reducing the load or rotating the rest of the electrolyzers with poor health status, and performing targeted control on deteriorating parameters, such as optimizing the replenishment strategy when the alkali concentration is abnormal, appropriately reducing the operating pressure when the gasket protrusion increases, and automatically isolating the electrolyzer and redistributing the load from the other electrolyzers when an emergency shutdown occurs, so as to ensure the stability of the total hydrogen production of the system. Specific operation method one: Dynamic load allocation and control of the array based on health index For example, an array group control system includes four alkaline electrolyzers with a rated current of 1000A, and the total system load requirement is 3000A. Based on a health assessment model, the health indices of the four electrolyzers are: Cell 1 HI=94, Cell 2 HI=88, Cell 3 HI=66, and Cell 4 HI=58. The system implements a proactive load allocation strategy, prioritizing the allocation of load to electrolyzers with higher health indices, and reducing the load or allowing electrolyzers with poor health conditions to rest. Specifically, Cell 1 is allocated 950A, Cell 2 900A, Cell 3 650A, and Cell 4 is allocated only a low load of 500A to maintain operation. Under this control method, cells 1 and 2, which are in good health, undertake the main hydrogen production task, cell 3 operates at reduced load in the monitoring range to slow down deterioration, and cell 4 rests at low load in the abnormal range. This ensures the stability of the total hydrogen production of the system and avoids the deteriorated electrolyzers from being damaged faster under high load, thus achieving the optimal balance between the overall lifespan of the array and the economic efficiency of operation.

[0044] Specific Operation Method Two: Targeted Parameter Adjustment and Safety Isolation Control for Deteriorating Parameters Real-time operating data monitoring and calculations showed that the gasket protrusion of one electrolyzer reached 1.8mm, approaching the 2mm limit, and the health index dropped to 62, entering the concern zone. The system implemented targeted adjustments to the cell based on an active control strategy, automatically reducing the operating pressure from 3.0MPa to 2.2MPa to alleviate the stress on the gasket and its protrusion tendency, preventing seal failure. Another electrolyzer showed that the hydrogen content in oxygen rose to 2.1 vol%, exceeding the safety threshold, and the health index rapidly dropped to 42. The system immediately triggered a level-three warning, executed an emergency shutdown, automatically disconnected the cell's electrical circuit and gas interface, completely isolating it from the array. Simultaneously, the 800A load originally borne by this cell was distributed to the remaining healthy electrolyzers in the array according to the health index ratio, allowing the total system load to quickly stabilize without affecting overall hydrogen production, maximizing operational safety and system redundancy.

[0045] In addition, the human-computer interaction and data management module provides convenient operation and maintenance support for the entire system. It can display the health index, individual parameter scores, trend curves and early warning information of each electrolyzer in real time, support historical data query, report generation and health report export, and open threshold setting and weight parameter adjustment interfaces to facilitate flexible optimization of model parameters according to different electrolyzer models, operating conditions and usage stages, thereby improving the adaptability and scalability of the solution.

[0046] The core design advantages of this technical solution lie in its ability to overcome the limitations of single-parameter monitoring through multi-dimensional parameter fusion evaluation, thus comprehensively and accurately reflecting the health status of the electrolyzer. It establishes an array-level unified health assessment system, enabling simultaneous monitoring of individual cells and the entire system, timely identification of early degradation trends, and prevention of systemic risks caused by single-cell failures. It achieves precise fault diagnosis based on parameter coupling relationships, effectively reducing operation and maintenance difficulty and repair costs. Through tiered early warning and proactive differentiated control, it transforms from passive alarm to proactive maintenance, extending the service life of the electrolyzer and improving system reliability, safety, and economy. It is particularly suitable for scenarios with fluctuating renewable energy power supply, intelligently protecting electrolyzers with poor health during load fluctuations. Furthermore, through data-driven continuous optimization of the evaluation model, it possesses strong engineering feasibility and long-term adaptability.

[0047] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for assessing the health operation status of an array-controlled alkaline electrolyzer system, characterized in that, include: An array of alkaline electrolyzers, comprising several alkaline electrolyzers operating in parallel; The multi-dimensional parameter acquisition module is used to detect, record, and transmit various real-time operating data of the alkaline electrolyzer; The data preprocessing and feature extraction unit is used to normalize the raw data collected by the multidimensional parameter acquisition module and extract the feature indicators of each parameter. A comprehensive health assessment model is used to construct a multi-parameter fusion health index (HI) calculation model based on the collected parameters, and to score the health of each individual tank and the system as a whole. The degradation trend analysis and diagnosis module analyzes the changing trends of health index and individual parameters based on a historical database of operating data, predicts the remaining effective life or degradation acceleration point, and diagnoses electrolytic cell operation faults by utilizing the coupling relationship between various parameters.

2. The method for evaluating the health operation status of an array-controlled alkaline electrolyzer system according to claim 1, characterized in that, The multi-dimensional parameter acquisition module includes: an electrolytic cell voltage acquisition unit, a gasket protrusion monitoring unit, a gas purity detection unit, an alkali concentration monitoring unit, and auxiliary parameter acquisition.

3. The method for evaluating the health operation status of an array-controlled alkaline electrolyzer system according to claim 1, characterized in that, The formula for calculating the health index HI is as follows: HI=w1×f1(ΔV)+w2×f2(ΔD)+w3×f3(ΔP)+w4×f4(ΔC) in: ΔV: Characteristic value of voltage deviation; ΔD: Characteristic value of gasket protrusion; ΔP: Characteristic value of gas purity; ΔC: Characteristic value of alkali concentration deviation; f1, f2, f3, f4: are the normalized scoring functions for each feature parameter; w1, w2, w3, w4: These are the weighting coefficients for each parameter; When each parameter is within the allowable range, the score decreases linearly or non-linearly with the degree of parameter deterioration. When a parameter exceeds the limit, the score for that item is 0, and mandatory intervention is triggered. Health Index HI Comprehensive Score >90 Excellent; 80-90 Good; 60-80 Attention; <60 Abnormal.

4. The method for evaluating the health operation status of an array-controlled alkaline electrolyzer system according to claim 3, characterized in that, The normalized scoring function is: Where: x - real-time measured value; X nom - Rated / Reference Value; X limit - Alarm / Limit.

5. The method for evaluating the health operation status of an array-controlled alkaline electrolyzer system according to claim 3, characterized in that, The weighting coefficients of each parameter sum to 1.

6. The method for evaluating the health operation status of an array-controlled alkaline electrolyzer system according to claim 1, characterized in that, It also includes a tiered early warning and proactive control module: The aforementioned tiered early warning mechanism: Level 1 Warning: The Health Index (HI) enters the 60-80 range, or a single parameter shows slight deterioration, prompting the operator to pay attention and arrange planned maintenance; Level 2 warning: Health index HI < 60, or a single parameter exceeds the limit but does not reach the emergency threshold, triggering an audible and visual alarm. It is recommended to reduce the load on the tank or arrange for a shutdown inspection. Level 3 warning: If key parameters exceed the safety threshold or the health index HI drops sharply, an emergency shutdown will be triggered and the electrolytic cell will be automatically cut off and isolated. The aforementioned active control strategy: Based on the health assessment results of each individual cell, the group control system dynamically adjusts the load distribution of each electrolyzer in the array: priority is given to allocating the load to electrolyzers with high health index, while electrolyzers with poor health status are operated with reduced load or rotated for rest. Targeted control of specific deterioration parameters: including adjusting the replenishment strategy when the alkali concentration is abnormal, and reducing the operating pressure of the tank when the gasket protrusion increases; When an electrolytic cell triggers an emergency shutdown, it is automatically isolated from the array, and the load is redistributed to the remaining electrolytic cells.

7. The method for evaluating the health operation status of an array-controlled alkaline electrolyzer system according to claim 1, characterized in that, It also includes a human-computer interaction and data management module: used for threshold setting, weight parameter adjustment, and real-time display of health index, individual parameter score, trend curve, and early warning information of each electrolytic cell, as well as querying historical data, generating reports and health reports.

8. The method for evaluating the health operation status of an array-controlled alkaline electrolyzer system according to claim 1, characterized in that, The coupling relationship includes: The increased gasket protrusion and decreased gas purity indicate that gas leakage is caused by seal failure. The increase in voltage and the abnormal concentration of alkali solution indicate a problem with the alkali solution circulation system or a decrease in electrode activity. The abnormal voltage decay rate and fluctuations in gas purity indicate damage to the internal structure of the electrolytic cell.

9. A health operation status assessment system for an array-controlled alkaline electrolyzer system, characterized in that, An evaluation system comprising the evaluation method described in any one of claims 1-8.

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