Fault positioning solution method and system for large-scale hydrogen production factory, and computer readable storage medium

By monitoring online data and extracting key features for abnormal warning and fault location, identifying and diagnosing fault types, conducting fault tracing and economic impact analysis, the problem of fault management of large-scale hydrogen production plants is solved and production efficiency and safety is improved.

CN120143785APending Publication Date: 2025-06-13SICHUAN ENERGY INTERNET RES INST TSINGHUA UNIV
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Patent Information

Application Number
CN202510252676.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-05
Publication Date
2025-06-13

AI Technical Summary

Technical Problem

Large-scale hydrogen production plants integrate a large number of equipment and components, making fault location and fault management difficult, consume huge computing resources, affecting production efficiency and safety.

Method used

By monitoring online data and extracting key features for abnormal warning, fault location is performed based on abnormal warning signals, fault components are identified, fault types and quantification are used to identify faults, fault traceability is carried out, and optimal solutions are given based on economic impact analysis.

Benefits of technology

Abnormal warning, target positioning, fault diagnosis and handling suggestions are achieved, which improves factory production efficiency, reduces operating costs, enhances safety, and optimizes operability.

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Abstract

The invention provides a fault positioning solving method and system for a large-scale hydrogen production factory and a computer readable storage medium, and relates to the technical field of hydrogen production factories. The method comprises the following steps: S1, carrying out abnormity early warning by monitoring on-line data or extracting key features; s2, fault positioning is carried out based on the abnormal early warning signal; s3, identifying a faulty part, and performing part separation; s4, using a fault algorithm to identify a fault type and performing quantification; s5, fault tracing is carried out; s6, giving an optimal solution based on economic impact analysis; and S7, checking hidden dangers. The method and the system are used for abnormal early warning, target positioning, fault diagnosis and processing suggestion providing so as to realize analysis target shunting and efficient calculation power distribution.
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Description

Technical Field

[0001] The present application relates to the technical field of hydrogen production plants, and in particular, to a method and system for fault location solution of a large-scale hydrogen production plant, and a computer-readable storage medium. Background Art

[0002] Due to the advantages of mature technology, low investment cost, and stability in alkaline electrolytic water hydrogen production, large-scale hydrogen production still mainly relies on alkaline water hydrogen production. Limited by the upper limit of single-cell scale, multi-cell cluster hydrogen production is the mainstream trend in large-scale hydrogen production applications. However, with the transformation of the hydrogen production scenario from stable hydrogen production to complex fluctuating following hydrogen production, the problems of large-scale alkaline electrolyzer hydrogen production are more prominent, resulting in frequent occurrence of events such as excessive energy consumption and accidental shutdowns in the plant, which affect production operations.

[0003] Currently, the installed capacity of large-scale hydrogen production plants often exceeds the GW level. A plant contains multiple production arrays, and each array can independently complete the entire process of power supply - hydrogen production - treatment - hydrogen supply. A single array also often adopts the form of multiple electrolyzers sharing one separator, or multiple separators sharing a set of purification and drying. For a single electrolyzer, it often consists of hundreds of small chambers. It can be seen that large-scale plants integrate a large number of devices, including a vast number of components. The failure of any small chamber, sensor, pump, or valve may lead to a possible reduction in the efficiency and safety of a certain electrolyzer or array. Executing fault prediction and health management (PHM) related algorithms for all devices or components will consume huge computing power resources and it is difficult to achieve efficient operation. Therefore, a management method is needed to achieve abnormal warning, target location, fault diagnosis, and put forward treatment suggestions to achieve analysis target diversion and efficient computing power allocation. Summary of the Invention

[0004] The purpose of the embodiments of the present application is to provide a method and system for fault location solution of a large-scale hydrogen production plant, and a computer-readable storage medium, which are used for abnormal warning, target location, fault diagnosis, and put forward treatment suggestions to achieve analysis target diversion and efficient computing power allocation.

[0005] In a first aspect, the present invention provides a method for fault location solution of a large-scale hydrogen production plant, the method comprising:

[0006] S1: Perform abnormal warning by monitoring online data or extracting key features;

[0007] S2: Perform fault location based on the abnormal warning signal;

[0008] S3: Identify the faulty component and separate the component;

[0009] S4: Use a fault algorithm to identify the fault type and quantify it;

[0010] S5: Perform fault traceability;

[0011] S6: Give the optimal solution based on the economic impact analysis;

[0012] S7: Check for potential hazards.

[0013] In an alternative embodiment, in S1, the online data includes various measurable data, and the key features include various secondary calculated quantities related to the core production indicators.

[0014] In an alternative embodiment, S1 includes:

[0015] If the online data or the key features exceed the normal range, an abnormal warning signal is generated and S2 is entered.

[0016] In an alternative embodiment, S2 includes:

[0017] For a multi-array hydrogen production plant, the fault is located to the array, and then for the located array as the object, it is further located to the link.

[0018] In an alternative embodiment, S2 includes:

[0019] The fault location operation between multi-arrays is completed through the horizontal comparison algorithm between arrays; the link location operation within the array is based on the data of each link to call the fault diagnosis algorithm to complete the decoupling check of each link, so as to achieve location.

[0020] In an alternative embodiment, in S3, the content of identifying the fault is to distinguish between the controlled body fault and the controller fault, sensor fault, connection fault, cooling system fault, and power supply system fault.

[0021] In an alternative embodiment, S4 includes:

[0022] Use a variety of fault algorithms to isolate and quantify the fault types. The fault types vary according to the different located and separated components. For the electrolyzer, they include inconsistency between cells, reduced electrode activity, diaphragm rupture, diaphragm failure, seal failure, etc.; for the separator, they include low separation efficiency, air entrapment, underpressure, high moisture content in the outlet gas, excessive liquid level pressure difference between the hydrogen and oxygen sides, check valve fault in the make-up water pipe, etc.; for the purification and drying device, they include low purification rate, high moisture content, blockage, overheating of the regeneration gas, excessive energy consumption, etc.

[0023] In an alternative embodiment, in S5, the root causes of the fault include manufacturing integration problems, operating environment problems, or abuse problems.

[0024] In an alternative embodiment, S6 includes:

[0025] Give the optimal solution based on the economic impact analysis. The optimal solution includes repair, replacement, or optimization of the control scheme.

[0026] In a second aspect, the present invention provides a fault location solution system for a large-scale hydrogen production plant, the system comprising:

[0027] An early warning module that performs anomaly early warning by monitoring online data or extracting key features;

[0028] A fault location module that performs fault location based on the anomaly early warning signal;

[0029] An identification and separation module for identifying faulty components and separating the components;

[0030] A fault type identification module that uses a fault algorithm to identify and quantify the fault type;

[0031] A traceability module that performs fault traceability;

[0032] A solution module that gives an optimal solution based on an economic impact analysis;

[0033] An investigation module for investigating potential hazards.

[0034] In a third aspect, the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method provided in the first aspect.

[0035] The embodiments of the present invention propose a fault location solution method and system for a large-scale hydrogen production plant, and a computer-readable storage medium. By designing process nodes, shunt processing is achieved, effectively reducing the computing power configuration. It can significantly improve the production efficiency of the plant, reduce the operating cost, enhance the safety, and optimize the operability. It is suitable for hydrogen production plants with different installed capacity scales, and the process can also be flexibly combined according to the needs of users, having strong adaptability. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings required to be used in the embodiments of the present application. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can also be obtained based on these drawings without creative efforts.

[0037] Figure 1 Shows a flowchart of the fault location solution method for a large-scale hydrogen production plant provided by an embodiment of the present application;

[0038] Figure 2 Shows a schematic diagram of the structure array of a large-scale hydrogen production plant provided by an embodiment of the present application;

[0039] Figure 3Shows the hydrogen production and energy consumption of this hydrogen production plant provided by the embodiments of the present application in the recent month;

[0040] Figure 4 Shows the trend curve of hydrogen production and energy consumption of the hydrogen production plant array 3 provided by the embodiments of the present application in the recent month;

[0041] Figure 5 Shows the monthly hydrogen production of each electrolyzer in the hydrogen production plant array 3 provided by the embodiments of the present application;

[0042] Figure 6 Shows the variance of the voltage of each electrolyzer in the hydrogen production plant array 3 provided by the embodiments of the present application. Detailed implementation manners

[0043] Next, the technical solutions in the embodiments of the present application will be described with reference to the accompanying drawings in the embodiments of the present application.

[0044] Figure 1 A fault location solution method for a large-scale hydrogen production plant provided by the embodiments of the present application (hereinafter referred to as: method), the method includes the following steps:

[0045] S1: Perform abnormal warning by monitoring online data or extracting key features.

[0046] Among them, the online data includes various measurable data, such as hydrogen production, the purity of the gas at the outlet of the purification device, the voltage of the electrolyzer, the power of the electrolyzer, the inlet and outlet temperatures of the coolant of the electrolyzer, the gas pressure at the gas outlet of the electrolyzer, etc.

[0047] The key features include various secondary calculation amounts related to the core production indexes, such as the energy consumption per unit of hydrogen production, water consumption, efficiency, etc., or the calculation amounts for statistically analyzing the measurable parameters, for example, using variance and sample entropy to describe the consistency of the voltages of multiple compartments; further, key features can be extracted in combination with known equipment parameters, for example, according to the heat capacity and thermal resistance parameters of the container, considering the heat source and heat transfer medium, and calculating the heat accumulation in the container.

[0048] If the online data or key features exceed the normal range, an abnormal warning signal is generated and S2 is entered.

[0049] S2: Perform fault location based on the abnormal warning signal.

[0050] Specifically, for a multi-array hydrogen production plant, the fault is located to the wind-solar power generation system, the power transmission and distribution network or a specific array. If it is located to a specific array, the specific array should be used as the object to further locate to the specific link. If it is located to the electrolytic hydrogen production system and the system is in the form of multiple cells combined into one, it is necessary to continue to locate to the specific electrolyzer.

[0051] Among them, the array includes a hydrogen production power supply, an electrolytic hydrogen production system, a purification and drying system, and a downstream hydrogen supply system, which can independently complete the supply of finished hydrogen.

[0052] The fault location operation between multiple arrays can be completed through the horizontal comparison algorithm between arrays, such as the comparison of hydrogen production, efficiency, and energy consumption under the dispatching working conditions, etc. Sort according to the completion degree of indicators, and focus on the arrays with low completion degree of some indicators.

[0053] For the specific link location operation within the array, the fault diagnosis algorithm can be called based on the data of each link to complete the decoupling and troubleshooting of each link, so as to achieve location. For the hydrogen production power supply, indicators such as voltage level, power quality, and conversion efficiency can be compared with the same-level power supply; for the electrolytic hydrogen production system, indicators such as hydrogen concentration in oxygen, system pressure, cooling water consumption, and power consumption can be compared with the same-level electrolytic hydrogen production system; for the purification and drying system, indicators such as purification efficiency, moisture content, and energy consumption can be compared with the same-level purification and drying system.

[0054] The electrolytic hydrogen production system includes an electrolytic cell, an alkali liquor circulation system, a separator, and other related actuators, and is a closed system for producing crude hydrogen. There are mainly two forms for the electrolytic hydrogen production system with multiple cells combined into one. One is that multiple electrolytic cells share one separator, and the other is that multiple separators jointly enter one purification inlet.

[0055] For the fault location operation of the alkali liquor circulation system, separator, and other related actuators, the temperature, alkali liquor concentration, heat exchanger efficiency, separator efficiency, internal pressure of the separator, moisture content of the outlet gas, liquid level difference between the hydrogen and oxygen sides, opening degree of each valve, and leakage or blockage of the pipeline are compared horizontally. The fault location operation of multiple electrolytic cells refers to locating the electrolytic hydrogen production system to a specific electrolytic cell and making a horizontal comparison between multiple electrolytic cells.

[0056] According to the actual needs of the operation and maintenance personnel, after the fault is located to a specific object, it can enter S3 for in-depth analysis, or directly enter S6 for advice on overall maintenance, replacement, etc. based on the economic impact analysis.

[0057] S3: Identify the faulty component and separate the component.

[0058] The content of identifying the fault is to distinguish between the faults of the controlled body and the faults of accessories such as controller faults, sensor faults, connection faults, cooling system faults, and power supply system faults.

[0059] The algorithms for component separation include designing an observer for residual generation and analysis, and classification methods such as support vector machine and decision tree in machine learning.

[0060] According to the actual needs of the operation and maintenance personnel, after separating the specific object of the fault, it can enter S4 for in-depth analysis, or directly enter S6 for advice on overall maintenance, replacement, etc. based on the economic impact analysis.

[0061] S4: Identify the type of fault and quantify it using a fault algorithm.

[0062] Among them, the fault algorithm includes model-based fault diagnosis, data-driven fault diagnosis, etc.

[0063] The types of faults, according to the different positioned and separated components, for the electrolytic cell include inter-chamber inconsistency, reduced electrode activity, diaphragm rupture, diaphragm failure, seal failure, etc.; for the separator include low separation efficiency, air entrapment, underpressure, high moisture content in the outlet gas, excessive liquid level pressure difference between the hydrogen and oxygen sides, check valve failure of the make-up water pipe; for the purification and drying device include low purification rate, high moisture content, blockage, overheating of the regeneration gas, excessive energy consumption, etc.

[0064] Quantifying the type of fault includes attempting to analyze based on the obtained data, obtaining fault quantification indicators through digital modeling means, and if unable to obtain, further observing and collecting new data as appropriate.

[0065] According to the actual needs of the operation and maintenance personnel, after the fault is identified, it can enter S5 for in-depth analysis, or directly enter S6 for advice on overall maintenance, replacement, etc. based on economic impact analysis.

[0066] S5: Conduct fault tracing.

[0067] Specifically, the root cause of the fault refers to the fundamental reason for the occurrence of the above-mentioned fault. Sequentially check the precondition causes for the specific fault until reaching the depth expected by the operation and maintenance personnel; the root causes of the fault include manufacturing integration problems, operating environment problems, or abuse problems.

[0068] Manufacturing integration problems include design defects, material mismatch, assembly problems, quality inspection problems, etc.; operating environment problems include too high / low environmental temperature, influence of feed contaminants, high environmental humidity, etc.; abuse problems include overloading operation, improper operation, lack of maintenance, improper power supply system management, etc.

[0069] S6: Give the optimal solution based on economic impact analysis.

[0070] Among them, the optimal solution includes repair, replacement, or optimization of the control scheme, etc.

[0071] Economic impact analysis numerically analyzes the economic benefits caused by the fault impact and life reduction in order to evaluate the severity caused by the fault. If the impact is within the expected range, it can be included in the key attention list and not be processed temporarily.

[0072] Maintenance includes operations such as parameter tuning, component replacement, and blockage cleaning. Replacement includes operations such as component replacement and overall replacement. Before replacement, carefully check whether the electrode plates have perforations, whether the electrode layers are intact, and whether the diaphragm is damaged. If it is a one-anode-two-cathode electrolytic cell, strictly check whether the middle electrode plate is correctly processed and whether the left and right electrode plates are correctly installed. After replacement, carefully check the electrolytic cell, auxiliary equipment, electrical systems, pipelines, valves, safety facilities, and insulation before operation. Check the matching and reliability between the electrolytic cell and system components. After purging with nitrogen and passing the inspection, conduct a trial run. The optimization control scheme includes means such as operation domain constraints and control strategy adjustment. For example, restrict the load range, temperature range, and pressure range of the faulty object, and adjust the faulty object from long-term operation to standby to reduce the equivalent operation duration.

[0073] S7: Identify potential hazards.

[0074] Specifically, for objects without obvious faults or after serious faults have been identified and eliminated, further in-depth investigation can be carried out.

[0075] Objects without obvious faults are those with minor fault symptoms and are included in the observation scope for predictive maintenance. After the objects with serious faults have undergone maintenance, their operating effects need to be continuously observed.

[0076] Methods for identifying potential hazards include on-site manual inspection, outlier monitoring based on operating data, and characteristic trend deduction based on grey models, etc.

[0077] Corresponding to the above methods, this embodiment also provides a fault location and solution system for large-scale hydrogen production plants. The system includes:

[0078] Early warning module, which conducts anomaly early warning by monitoring online data or extracting key features; that is, it is used to execute S1.

[0079] Fault location module, which conducts fault location based on the anomaly early warning signal; that is, it is used to execute S2.

[0080] Identification and separation module, which is used to identify the faulty components and separate them; that is, it is used to execute S3.

[0081] Fault type identification module, which uses fault algorithms to identify the fault type and quantify it; that is, it is used to execute S4.

[0082] Traceability module, which conducts fault traceability; that is, it is used to execute S5.

[0083] Solution module, which gives the optimal solution based on economic impact analysis; that is, it is used to execute S6.

[0084] Investigation module, which is used to identify potential hazards; that is, it is used to execute S7.

[0085] Embodiment

[0086] The object is a hydrogen production plant with a total installed capacity of 100 MW, including 5 arrays. Each array contains an independent power supply, an electrolytic hydrogen production system, a purification and drying system, and a downstream hydrogen supply system, as Figure 2 shown. Each array has 4 sets of 5 MW electrolytic hydrogen production systems. Each electrolytic cell is equipped with a separator and an alkali liquor circulation system. Four separators share a purification inlet.

[0087] The equipment of this hydrogen production plant operates for 11.2 hours every day, and the benefit has decreased in the recent month. Statistics on the hydrogen production volume and energy consumption data in the recent month are as Figure 3 shown. It is found that the hydrogen production volume of this hydrogen production plant is low and the energy consumption is high, resulting in the revenue of the hydrogen production plant not meeting the standard.

[0088] Using the above method for this embodiment includes the following steps:

[0089] Step 1, perform abnormal warning.

[0090] Detect abnormal phenomena in a timely manner by monitoring online data or extracting key features to achieve abnormal warning.

[0091] Monitor and collect online data during the operation of the array, including various measurable data, such as the rectifier power supply voltage, hydrogen production volume, gas purity at the outlet of the purification device, temperatures at the inlet and outlet of the cooler, separator liquid level, etc.

[0092] Find that the hydrogen production volume deviates significantly and the energy consumption characteristics change insignificantly by analyzing the online data, and send out an abnormal warning signal.

[0093] Step 2, perform fault location.

[0094] After investigation, the wind-solar system and the power grid in this embodiment are normal. For the positioning operation between multiple arrays, it is completed through the horizontal comparison algorithm between arrays. The hydrogen production volume, energy consumption, etc. of each array under the dispatching condition are found. It is found that the hydrogen production volume of array 3 has decreased significantly in the recent month, while the energy consumption has changed little, as Figure 4 shown.

[0095] By analyzing the statistical data, according to Figure 3 and Figure 4 locate array 3. Array 3 includes a hydrogen production power supply, an electrolytic hydrogen production system, a purification and drying system, and a downstream hydrogen supply system.

[0096] After investigation, the hydrogen production power supply, purification and drying system, and downstream hydrogen supply system of array 3 in this embodiment are normal, then locate to the electrolytic hydrogen production system of array 3. The electrolytic hydrogen production system includes electrolytic cells, an alkali liquor circulation system, separators, and other related actuators.

[0097] After investigation, the lye circulation system, separator and other related actuators of the electrolytic hydrogen production system in this embodiment are normal, so the electrolytic cell is located.

[0098] For the positioning operation of multiple electrolytic cells, a horizontal comparison is carried out among multiple electrolytic cells, and the same performance parameters such as hydrogen production and energy consumption of each electrolytic cell are compared. For example, Figure 5 As shown, the hydrogen production of the No. 2 electrolytic cell in Array 3 has a large gap compared with other electrolytic cells, and it is proposed to determine that the No. 2 electrolytic cell of the electrolytic hydrogen production system in Array 3 has failed.

[0099] According to Figure 5 , by comparing the hydrogen production of the No. 2 electrolytic cell with that of other normal electrolytic cells, it can be found that the hydrogen production of the No. 2 electrolytic cell has decreased by about 10%, seriously affecting the revenue of the hydrogen production plant. Based on this, it is speculated that there are major problems with the electrolytic cell, so it is necessary to conduct in-depth analysis after locating the electrolytic cell.

[0100] Step 3: Separate components to identify the specific faulty components.

[0101] By testing the controller of the array, it is found that its function is normal and it can run correctly, excluding controller failures; through the verification of the data collected by the sensors and the subsequent data transmission, storage and processing, various sensor failures and data errors are excluded; by analyzing the data collected by the temperature sensor and the lye concentration sensor and checking the functions of the sensor bodies, cooling system failures are excluded; by checking the power supply system equipment and detecting the power quality and power supply voltage fluctuations, power supply system failures are excluded; by using fault separation algorithms including designing observers for residual generation and analysis, and classification methods such as support vector machines and decision trees in machine learning, the specific faulty components in this embodiment are separated, and finally it is determined that the electrolytic cell body has failed.

[0102] Since the failure of the electrolytic cell body affects the economic benefits of the hydrogen production plant and may even involve electrolytic cell leakage, leading to serious safety accidents, it is necessary to conduct in-depth analysis after separating the electrolytic cell body failure.

[0103] Step 4: Identify the type of failure.

[0104] By using a data-driven fault diagnosis method, calculate the variance of the voltage of each electrolytic cell during the operation period. For example, Figure 6 As shown, by comparing the voltage variances of normal electrolytic cells, it is found that the voltage variance of the No. 2 electrolytic cell is large. Finally, it is determined that the electrolytic cell has poor consistency, and it becomes worse and worse as the operation time lengthens, resulting in electrolytic cell inconsistency failure, which leads to increased energy consumption, increased power consumption, and ultimately reduced hydrogen production.

[0105] Step 5: Trace the source of the failure.

[0106] Analyze the root causes of failures, including manufacturing integration issues, operating environment issues, or abuse issues.

[0107] For the poor electrolyzer inconsistency failure, by checking one by one the pre-existing causes such as aging and corrosion, material and manufacturing process differences that may lead to inconsistency, a failure map is sorted out.

[0108] After investigation, no abuse issues and operating environment issues occurred in this embodiment. The reason for the poor electrolyzer inconsistency failure is caused by manufacturing integration issues, including design defects, assembly problems, quality inspection problems, material and manufacturing process difference problems, etc.

[0109] Step 6, give treatment suggestions and the optimal solution.

[0110] For the poor electrolyzer inconsistency failure caused by manufacturing integration issues in this embodiment, only by replacing the entire electrolyzer can the economic benefits of the hydrogen production plant be restored. Before replacement, carefully check whether the electrode plates have perforations, whether the electrode layers are intact, and whether the diaphragms are damaged. After the replacement and installation, carefully check the electrolyzer, auxiliary equipment, electrical equipment, pipelines, valves, safety facilities and insulation, etc. before operation, check their matching and reliability with the system components, and after purging with nitrogen and passing the inspection, it can be put into operation for commissioning.

[0111] Step 7, deeply investigate potential hazards.

[0112] For the remaining cases without obvious failures in this embodiment, they are included in the observation scope to achieve predictive maintenance; for the serious failures that have been investigated in this embodiment, that is, the poor electrolyzer inconsistency failure, after replacement treatment, it is necessary to continue to observe its operation effect and conduct further in-depth inspections.

[0113] The beneficial effects of the failure location and solution method and system for large-scale hydrogen production plants proposed in the embodiments of the present invention include:

[0114] 1. By designing process nodes, shunt processing is realized, effectively reducing the computing power configuration;

[0115] 2. It can significantly improve the production efficiency of the plant, reduce the operating cost, enhance the safety, and optimize the operability;

[0116] 3. It is suitable for hydrogen production plants with different installed capacities, and the process can also be flexibly combined according to the needs of users, with strong adaptability.

[0117] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For another example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections between each other can be through some communication interfaces. The indirect couplings or communication connections of devices or units can be in electrical, mechanical or other forms.

[0118] In addition, the units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0119] Furthermore, in each embodiment of the present application, the various functional modules can be integrated together to form an independent part, or each module can exist alone, or two or more modules can be integrated to form an independent part.

[0120] It should be noted that if the function is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. There is a computer program stored thereon. When the computer program is executed by a processor, the method described above is implemented. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in the various embodiments of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0121] In this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations.

[0122] The above are only the embodiments of the present application and are not intended to limit the protection scope of the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the protection scope of the present application.

Claims

1. A fault location solution for a large-scale hydrogen production plant, characterized in that: The method comprises: S1: Provide abnormal warning by monitoring online data or extracting key features; S2: Fault location based on abnormal warning signals; S3: Identify the faulty components and separate them; S4: Use fault algorithms to identify fault types and quantify them; S5: perform fault tracing; S6: Provide the best solution based on economic impact analysis; S7: Check for hidden dangers.

2. The method for locating a fault in a large-scale hydrogen production plant according to claim 1, characterized in that: In S1, the online data includes various types of measurable data, and the key features include various types of secondary calculation quantities related to core production indicators.

3. The method for locating a fault in a large-scale hydrogen production plant according to claim 1, characterized in that: S1 includes: If the online data or the key feature exceeds the normal range, an abnormal warning signal is generated and the process enters S2.

4. The method for locating a fault in a large-scale hydrogen production plant according to claim 1, characterized in that: S2 includes: The fault of a multi-array hydrogen production plant is located at the array, and then the fault is located at the link based on the located array.

5. The method for locating a fault in a large-scale hydrogen production plant according to claim 1, characterized in that S2 include: The fault location operation between multiple arrays is completed through the horizontal comparison algorithm between arrays; the link location operation within the array calls the fault diagnosis algorithm based on the data of each link to complete the decoupling and troubleshooting of each link, thereby achieving location.

6. The method for locating a fault in a large-scale hydrogen production plant according to claim 1, characterized in that: In S3, the content of fault identification is to distinguish the controlled entity fault from the controller fault, sensor fault, connection fault, cooling system fault, and power supply system fault.

7. The method for locating a fault in a large-scale hydrogen production plant according to claim 1, characterized in that: S4 includes: A variety of fault algorithms are used to isolate and quantify fault types. The fault types vary depending on the components located and separated. For electrolytic cells, faults include inconsistency between small chambers, reduced electrode activity, diaphragm rupture, diaphragm failure, and seal failure. For separators, faults include low separation efficiency, air holding, underpressure, high moisture content in the outlet gas, excessive pressure difference between the liquid levels on both sides of hydrogen and oxygen, and check valve failure in the water supply pipe. For purification and drying devices, faults include low purification rate, high moisture content, blockage, overtemperature of regenerated gas, and excessive energy consumption.

8. The method for locating a fault in a large-scale hydrogen production plant according to claim 1, characterized in that S6 include: The optimal solution is given based on the economic impact analysis, and the optimal solution includes maintenance, replacement or optimized control solution.

9. A fault location and solution system for a large-scale hydrogen production plant, characterized in that: The system comprises: The early warning module provides abnormal warning by monitoring online data or extracting key features; Fault location module, which locates faults based on abnormal warning signals; An identification and separation module is used to identify faulty components and separate the components; Identification type module, using fault algorithm to identify fault type and quantify; Tracing module for fault tracing; Solution module, which provides the best solution based on economic impact analysis; The troubleshooting module is used to troubleshoot hidden dangers.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.