Fault diagnosis method and device of electrolytic hydrogen production system, storage medium and equipment

Abstract

The invention discloses a fault diagnosis method and device for an electrolytic hydrogen production system, a storage medium and computer equipment, relates to the technical field of alkaline water electrolytic hydrogen production, and mainly aims at solving the problems that an existing fault diagnosis method for the alkaline water electrolytic hydrogen production system is poor in diagnosis accuracy, low in efficiency, difficult in fault positioning and high in operation and maintenance cost. Comprising the following steps: acquiring operation parameters of the electrolytic hydrogen production system, and judging the operation state of the electrolytic hydrogen production system based on the operation parameters; acquiring an equipment thermal imaging picture of the electrolytic hydrogen production system in an abnormal state, and performing target recognition processing on the equipment thermal imaging picture to obtain a target equipment thermal imaging picture; and extracting temperature distribution characteristics of the thermal image of the target equipment, and carrying out fault classification processing on the temperature distribution characteristics to obtain a target fault type of the electrolytic hydrogen production system.

Description

Technical Field

[0001] The present invention relates to the technical field of hydrogen production by electrolysis of alkaline water, and in particular to a fault diagnosis method and device, a storage medium, and a computer device for a hydrogen production system by electrolysis. Background Art

[0002] Renewable energy hydrogen production system is a way to consume renewable energy electricity and has broad application prospects. However, the alkaline water electrolysis hydrogen production system has the problem of poor dynamic load performance, especially in the case of fluctuating power input such as wind power and photovoltaic power, the electrolyzer is prone to failure, resulting in a decrease in the commissioning rate of the alkaline water electrolysis hydrogen production system and even causing safety accidents.

[0003] The traditional fault diagnosis method of alkaline water electrolysis hydrogen production system mainly relies on manual inspection and experience judgment, and the accuracy and efficiency of fault diagnosis are limited. Moreover, for problems such as diaphragm damage inside the electrolyzer, due to the complex installation and structural integrity, the operation and maintenance personnel cannot locate the fault based on experience during the normal operation of the electrolyzer. Disassembling and testing the electrolyzer will increase the workload of operation and maintenance, resulting in increased production costs. Summary of the invention

[0004] In view of this, the present invention provides a fault diagnosis method, device, storage medium and equipment for an electrolytic hydrogen production system, the main purpose of which is to solve the problems of poor diagnostic accuracy, low efficiency, difficulty in fault location and high operation and maintenance cost in the existing fault diagnosis method for alkaline water electrolysis hydrogen production system.

[0005] According to one aspect of the present invention, a fault diagnosis method for an electrolytic hydrogen production system is provided, comprising:

[0006] Acquiring operating parameters of a hydrogen production system by electrolysis, and determining an operating state of the hydrogen production system by electrolysis based on the operating parameters;

[0007] Acquire a thermal imaging picture of the equipment of the hydrogen production system by electrolysis in an abnormal state, and perform target recognition processing on the thermal imaging picture of the equipment to obtain a thermal imaging picture of the target equipment;

[0008] The temperature distribution characteristics of the thermal imaging image of the target device are extracted, and the temperature distribution characteristics are subjected to fault classification processing to obtain the target fault type of the electrolysis hydrogen production system.

[0009] Furthermore, after obtaining the thermal imaging picture of the equipment of the electrolysis hydrogen production system in an abnormal state, the method further includes preprocessing the thermal imaging picture of the equipment, and the preprocessing includes:

[0010] Performing image contrast processing on the thermal imaging image of the device using a histogram equalization method; or,

[0011] Using bilateral filtering to denoise the thermal imaging image of the device; or,

[0012] An image enhancement algorithm is used to perform image enhancement processing on the thermal imaging picture of the device.

[0013] Furthermore, the performing target recognition processing on the thermal imaging picture of the device to obtain a thermal imaging picture of the target device includes:

[0014] Acquire historical equipment thermal imaging pictures of the electrolytic hydrogen production system, and perform equipment marking processing on the historical equipment thermal imaging pictures to obtain marked equipment thermal imaging pictures;

[0015] Using the marked device thermal imaging pictures to perform model training processing to obtain a recognition model for identifying each device;

[0016] The recognition model is used to perform target recognition processing on the thermal imaging picture of the device to obtain the thermal imaging picture of the target device.

[0017] Furthermore, the step of extracting the temperature distribution characteristics of the thermal imaging image of the target device includes:

[0018] Performing target segmentation processing on the target device thermal imaging image to obtain a target device area;

[0019] A feature extraction model is used to perform feature extraction processing on the target device area to obtain the temperature distribution characteristics of the target device.

[0020] Furthermore, before performing fault classification processing on the temperature distribution characteristics to obtain a target fault type of the electrolysis hydrogen production system, the method further includes:

[0021] Acquire a typical fault thermal imaging picture corresponding to a typical fault type, and perform target segmentation processing on the typical fault thermal imaging picture to obtain a typical fault device area;

[0022] Using the feature extraction model to perform feature extraction processing on the typical fault equipment area to obtain typical fault temperature distribution characteristics;

[0023] An association relationship is established between the typical fault temperature distribution characteristics and the corresponding typical fault types, and the association relationship is saved in a typical fault type knowledge base.

[0024] Furthermore, the performing fault classification processing on the temperature distribution characteristics to obtain a target fault type of the electrolysis hydrogen production system includes:

[0025] Acquire the typical fault type knowledge base;

[0026] Based on the typical fault type knowledge base, a pre-trained fault classification model is used to perform fault classification processing on the temperature distribution characteristics to obtain the target fault type of the electrolysis hydrogen production system.

[0027] Furthermore, the typical fault type includes fault location information;

[0028] After obtaining the target fault type of the hydrogen production system by electrolysis, the method further includes:

[0029] Performing fault location processing based on the target fault type to obtain target fault location information corresponding to the electrolysis hydrogen production system;

[0030] Fault warning information is generated based on the target fault location information, and the fault warning information is sent to relevant responsible persons.

[0031] According to another aspect of the present invention, a fault diagnosis device for an electrolytic hydrogen production system is provided, comprising:

[0032] An abnormality judgment module is used to obtain operating parameters of the hydrogen production system by electrolysis, and judge the operating state of the hydrogen production system by electrolysis based on the operating parameters;

[0033] A target recognition module is used to obtain a thermal imaging picture of the equipment of the hydrogen production system by electrolysis in an abnormal state, and perform target recognition processing on the thermal imaging picture of the equipment to obtain a thermal imaging picture of the target equipment;

[0034] The extraction and classification module is used to extract the temperature distribution characteristics of the thermal imaging image of the target device, and perform fault classification processing on the temperature distribution characteristics to obtain the target fault type of the electrolysis hydrogen production system.

[0035] Furthermore, the device also includes a preprocessing module, which is used to:

[0036] Performing image contrast processing on the thermal imaging image of the device using a histogram equalization method; or,

[0037] Using bilateral filtering to denoise the thermal imaging image of the device; or,

[0038] An image enhancement algorithm is used to perform image enhancement processing on the thermal imaging picture of the device.

[0039] Furthermore, the target recognition module is also used for:

[0040] Acquire historical equipment thermal imaging pictures of the electrolytic hydrogen production system, and perform equipment marking processing on the historical equipment thermal imaging pictures to obtain marked equipment thermal imaging pictures;

[0041] Using the marked device thermal imaging pictures to perform model training processing to obtain a recognition model for identifying each device;

[0042] The recognition model is used to perform target recognition processing on the thermal imaging picture of the device to obtain the thermal imaging picture of the target device.

[0043] Furthermore, the extraction and classification module includes a feature extraction unit, which is used to:

[0044] The target device thermal imaging image is subjected to target segmentation processing to obtain a target device area; and a feature extraction model is used to perform feature extraction processing on the target device area to obtain the temperature distribution feature of the target device.

[0045] Furthermore, the device also includes a knowledge base construction module, which is used to:

[0046] Acquire a typical fault thermal imaging picture corresponding to a typical fault type, and perform target segmentation processing on the typical fault thermal imaging picture to obtain a typical fault device area;

[0047] Using the feature extraction model to perform feature extraction processing on the typical fault equipment area to obtain typical fault temperature distribution characteristics;

[0048] An association relationship is established between the typical fault temperature distribution characteristics and the corresponding typical fault types, and the association relationship is saved in a typical fault type knowledge base.

[0049] Furthermore, the extraction and classification module further includes a fault classification unit, which is used to:

[0050] Acquire the typical fault type knowledge base;

[0051] Based on the typical fault type knowledge base, a pre-trained fault classification model is used to perform fault classification processing on the temperature distribution characteristics to obtain the target fault type of the electrolysis hydrogen production system.

[0052] Furthermore, the typical fault type includes fault location information; the device also includes a location and alarm module, which is used to:

[0053] Performing fault location processing based on the target fault type to obtain target fault location information corresponding to the electrolysis hydrogen production system;

[0054] Fault warning information is generated based on the target fault location information, and the fault warning information is sent to relevant responsible persons.

[0055] According to another aspect of the present invention, a storage medium is provided, wherein the storage medium stores at least one executable instruction, wherein the executable instruction enables a processor to execute operations corresponding to the above-mentioned fault diagnosis method for the electrolysis hydrogen production system.

[0056] According to another aspect of the present invention, there is provided a computer device, comprising a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus;

[0057] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to the fault diagnosis method of the electrolysis hydrogen production system as described above.

[0058] By means of the above technical solution, the technical solution provided by the embodiment of the present invention has at least the following advantages:

[0059] The present invention provides a fault diagnosis method, device, storage medium and equipment for an electrolytic hydrogen production system. Compared with the prior art, the present invention obtains the operating parameters of the electrolytic hydrogen production system and determines the operating state of the electrolytic hydrogen production system based on the operating parameters; obtains the thermal imaging picture of the equipment of the electrolytic hydrogen production system in an abnormal state, and performs target recognition processing on the thermal imaging picture of the equipment to obtain a thermal imaging picture of the target equipment; extracts the temperature distribution characteristics of the thermal imaging picture of the target equipment, and performs fault classification processing on the temperature distribution characteristics to obtain the target fault type of the electrolytic hydrogen production system, thereby realizing rapid, accurate and contactless fault diagnosis of the alkaline water electrolytic hydrogen production system. The present invention can not only ensure the continuous and stable production of the electrolytic hydrogen production system, but also better locate equipment faults, facilitate timely maintenance, extend the service life of equipment, and create greater benefits for enterprises.

[0060] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0062] Figure 1 A schematic flow chart of a fault diagnosis method for a hydrogen production system by electrolysis provided by an embodiment of the present invention is shown;

[0063] Figure 2 A schematic flow chart of another method for diagnosing a fault of a hydrogen production system by electrolysis provided by an embodiment of the present invention is shown;

[0064] Figure 3 A schematic flow chart of another method for diagnosing a fault of a hydrogen production system by electrolysis provided by an embodiment of the present invention is shown;

[0065] Figure 4 A schematic flow chart of another method for diagnosing a fault of a hydrogen production system by electrolysis provided by an embodiment of the present invention is shown;

[0066] Figure 5 A schematic structural diagram of a fault diagnosis device for a hydrogen production system by electrolysis provided by an embodiment of the present invention is shown;

[0067] Figure 6 A schematic structural diagram of a computer device provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0068] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0069] The embodiment of the present invention provides a fault diagnosis method for a hydrogen production system by electrolysis, such as Figure 1 As shown, the method includes:

[0070] 101. Acquire operating parameters of a hydrogen production system by electrolysis, and determine an operating state of the hydrogen production system by electrolysis based on the operating parameters;

[0071] In an embodiment of the present invention, the current execution end obtains the operating parameters of the electrolytic hydrogen production system, and the operating parameters include electrolysis voltage, electrolysis current, hydrogen production per unit time, etc., which are not specifically limited in the embodiment of the present invention. Then, the current execution end determines the operating state of the electrolytic hydrogen production system based on the acquired operating parameters, wherein the operating state includes two types: abnormal state and normal operating state. For example, if the electrolysis voltage increases, it can be judged that the system hydrogen production efficiency decreases, and the electrolytic hydrogen production system may be in an abnormal state, which is not specifically limited in the embodiment of the present invention.

[0072] 102. Acquire a thermal imaging picture of equipment of the hydrogen production system by electrolysis in an abnormal state, and perform target recognition processing on the thermal imaging picture of the equipment to obtain a thermal imaging picture of the target equipment;

[0073] In an embodiment of the present invention, after the current execution end obtains that the operating state of the hydrogen production system by electrolysis is abnormal in step 101, a thermal imaging picture of the equipment of the hydrogen production system by electrolysis is obtained in the abnormal state. Among them, the thermal imaging picture of the equipment is obtained by infrared thermal imaging technology. Infrared thermal imaging technology detects the infrared radiation emitted by the object, displays the infrared thermal imaging picture with temperature after system processing, and transmits the real-time infrared thermal imaging picture to the current execution end. In the hydrogen production system by electrolysis, the higher the temperature of the equipment, the stronger the infrared radiation energy. Since the hydrogen production system by electrolysis is affected by the ambient temperature, the temperature of each part, especially the small chambers inside the electrolytic cell, changes frequently, presenting different temperature fields, so it is necessary to perform real-time thermal imaging in a dynamic environment. In order to adapt to the working environment of the hydrogen production system by electrolysis, an infrared thermal imaging instrument with high resolution, high frame rate and good temperature sensitivity is preferably used in the embodiment of the present invention, so as to capture subtle temperature changes in a dynamic environment.

[0074] It should be noted that the infrared thermal imaging instrument in the embodiment of the present invention is deployed in the electrolytic hydrogen production system to monitor the key equipment in the electrolytic hydrogen production system. The data acquisition mode is started regularly according to the set acquisition frequency. The infrared thermal imaging instrument will continuously capture the infrared radiation in the environment and convert it into thermal imaging pictures. Among them, the key equipment includes the electrolytic cell body, the rectifier and booster device of the power supply, the circulating pump motor, etc., which are not specifically limited in the embodiment of the present invention.

[0075] In the embodiment of the present invention, after the current execution end obtains the thermal imaging image of the device, it is also necessary to perform target recognition processing on the thermal imaging image of the device to obtain the thermal imaging image of the target device. Among them, the target recognition processing refers to the technology of performing object recognition on the image to identify targets and objects of various different modes. The target recognition processing is based on the main features of the image. In order to compile a computer program that simulates human image recognition activities, different image recognition models are proposed. For example, the template matching model believes that to recognize a certain image, there must be a memory pattern of this image in past experience, also called a template. If the current stimulus can match the template in the brain, the image is also recognized. In addition, for images that are not completely consistent with the template, "similarity" can be abstracted from the image as a prototype, and it can be used to test the image to be recognized. If a similar prototype can be found, the image is also recognized. Specific models include R-CNN, Fast R-CNN, yolov5, etc., which are not specifically limited in the embodiment of the present invention.

[0076] 103. Extract temperature distribution features of the thermal imaging image of the target device, and perform fault classification processing on the temperature distribution features to obtain a target fault type of the hydrogen production system by electrolysis.

[0077] In an embodiment of the present invention, the current execution end extracts the temperature distribution characteristics of the thermal imaging image of the target device, wherein the temperature distribution characteristics refer to the characteristics of the temperature change with the spatial position in a certain area of ​​space at a given time. In an embodiment of the present invention, the temperature distribution characteristics refer to the temperature change characteristics of various parts of the key equipment in the electrolytic hydrogen production system. The current execution end performs fault classification processing on the extracted temperature distribution characteristics to obtain the target fault type of the electrolytic hydrogen production system. Among them, the fault classification processing can be completed based on the classification model. Among them, the fault types include alkali leakage in the electrolytic cell, overheating of the power supply, diaphragm damage, system leakage, bipolar plate corrosion, etc., which are not specifically limited in the embodiment of the present invention.

[0078] Further, as a refinement and extension of the specific implementation of the above embodiment, in order to improve the accuracy of fault diagnosis, another fault diagnosis method for a hydrogen production system by electrolysis is provided, wherein after obtaining a thermal imaging image of a device of the hydrogen production system by electrolysis in an abnormal state, the method further comprises preprocessing the thermal imaging image of the device, and the preprocessing comprises:

[0079] Performing image contrast processing on the thermal imaging image of the device using a histogram equalization method; or,

[0080] Using bilateral filtering to denoise the thermal imaging image of the device; or,

[0081] An image enhancement algorithm is used to perform image enhancement processing on the thermal imaging picture of the device.

[0082] In an embodiment of the present invention, the current execution end may select the histogram equalization method to perform image contrast processing on the device thermal imaging picture obtained in step 102 to improve the contrast of the device thermal imaging picture; or, select the bilateral filtering method to perform denoising processing on the device thermal imaging picture obtained in step 102 to improve the signal-to-noise ratio of the device thermal imaging picture; or select the image enhancement algorithm to perform image enhancement processing on the device thermal imaging picture obtained in step 102. Among them, the image enhancement algorithm includes Pix2PixHD, CycleGAN, EnhanceNet, Deep SR-ITD, etc., which are not specifically limited in the embodiment of the present invention. It should be noted that the processing of the device thermal imaging picture can select the above three processing methods at the same time, or can be reasonably matched and selected according to needs, which are not specifically limited in the embodiment of the present invention.

[0083] Further, as a refinement and extension of the specific implementation of the above embodiment, in order to accurately identify the key equipment of the electrolysis hydrogen production system from the equipment thermal imaging picture so as to perform fault analysis on the key equipment, another fault diagnosis method of the electrolysis hydrogen production system is provided, such as Figure 2 As shown, the step performs target recognition processing on the thermal imaging picture of the device to obtain a thermal imaging picture of the target device, including:

[0084] 201. Obtain historical equipment thermal imaging pictures of the electrolytic hydrogen production system, and perform equipment marking processing on the historical equipment thermal imaging pictures to obtain marked equipment thermal imaging pictures;

[0085] In an embodiment of the present invention, the current execution end obtains a thermal imaging picture of historical equipment of the electrolytic hydrogen production system, wherein the thermal imaging picture of the historical equipment contains key equipment information, wherein the key equipment includes the electrolytic cell body, the rectifier and boost device of the power supply, the circulating pump motor, etc., which are not specifically limited in the embodiment of the present invention. Next, the current execution end performs equipment marking processing on the acquired thermal imaging picture of the historical equipment to obtain a marked thermal imaging picture of the equipment. Among them, the marking processing is to mark the key equipment in the thermal imaging picture of the historical equipment, which can be completed with the help of image editing software, which is not specifically limited in the embodiment of the present invention.

[0086] 202. Perform model training processing using the marked device thermal imaging pictures to obtain a recognition model for identifying each device;

[0087] In the embodiment of the present invention, the current execution end uses the marked device thermal imaging pictures to perform model training processing to obtain a recognition model for identifying each device. The model training processing can be based on models such as deep convolutional neural networks (CNNs), recurrent neural networks (RNNs), long short-term memory networks (LSTMs) and generative adversarial networks (GANs), which are not specifically limited in the embodiment of the present invention.

[0088] 203. Use the recognition model to perform target recognition processing on the device thermal imaging picture to obtain the target device thermal imaging picture.

[0089] In the embodiment of the present invention, the current execution end uses the recognition model trained in step 202 to perform target recognition processing on the thermal imaging image of the device, that is, the thermal imaging image of the device is input into the trained recognition model, and after recognition processing, the recognition model outputs the thermal imaging image of the target device. It should be noted that the thermal imaging image of the target device output by the recognition model contains the marked key equipment information, so as to perform fault analysis on the key equipment later.

[0090] Further, as a refinement and extension of the specific implementation of the above embodiment, in order to accurately extract abnormal features for fault analysis from the thermal imaging image of the target device, another fault diagnosis method for the electrolytic hydrogen production system is provided, the step of extracting the temperature distribution features of the thermal imaging image of the target device includes:

[0091] Performing target segmentation processing on the target device thermal imaging image to obtain a target device area;

[0092] In the embodiment of the present invention, since the target device thermal image obtained in step 203 contains marked key device information, the current execution end only needs to segment the image of the key device information part when performing target segmentation processing on the target device thermal image to obtain the target device area, that is, the target device area is the key device area in the target device thermal image, such as the electrolytic cell body area, the rectifier and boost device area of ​​the power supply, the circulating pump motor area, etc., which is not specifically limited in the embodiment of the present invention.

[0093] A feature extraction model is used to perform feature extraction processing on the target device area to obtain the temperature distribution characteristics of the target device.

[0094] In the embodiment of the present invention, the current execution end uses a feature extraction model to perform feature extraction processing on the target device area to obtain the temperature distribution characteristics of the target device. Among them, the feature extraction model is preferably a principal component analysis model, which is not specifically limited in the embodiment of the present invention. Among them, the temperature distribution characteristics can be a sudden increase in temperature of a small chamber in the electrolytic cell body, as well as local overheating or overcooling of the power supply, circulation pump, and cell body, which are not specifically limited in the embodiment of the present invention.

[0095] Further, as a refinement and extension of the specific implementation of the above embodiment, in order to accurately locate and process the fault, another fault diagnosis method for the electrolysis hydrogen production system is provided, such as Figure 3 As shown, before the step of performing fault classification processing on the temperature distribution characteristics to obtain the target fault type of the electrolysis hydrogen production system, the method further includes:

[0096] 301. Acquire a typical fault thermal imaging picture corresponding to a typical fault type, and perform target segmentation processing on the typical fault thermal imaging picture to obtain a typical fault device area;

[0097] In an embodiment of the present invention, in order to locate the fault, the fault of the hydrogen production system by electrolysis is divided into a plurality of typical fault types, and each type corresponds to a fault location. The current execution end obtains a typical fault thermal imaging picture corresponding to the typical fault type, and performs target segmentation processing on the obtained typical fault thermal imaging picture to obtain a typical fault equipment area. Among them, the purpose of the target segmentation processing is to segment the image of the key equipment information part from the typical fault thermal imaging picture, so the typical fault equipment area obtained is the key equipment area in the typical fault thermal imaging picture, such as the electrolytic cell body area, the rectifier and boost device area of ​​the power supply, the circulating pump motor area, etc., which is not specifically limited in the embodiment of the present invention.

[0098] 302. Perform feature extraction processing on the typical fault equipment area using the feature extraction model to obtain typical fault temperature distribution features;

[0099] In an embodiment of the present invention, the current execution end uses the feature extraction model to perform feature extraction processing on the typical fault equipment area to obtain typical fault temperature distribution characteristics. Among them, the feature extraction model is preferably a principal component analysis model, which is not specifically limited in the embodiment of the present invention. Among them, the typical fault temperature distribution characteristics can be a sudden increase in temperature of a small chamber in the electrolytic cell body, as well as local overheating or overcooling of the power supply, circulation pump, and cell body, which is not specifically limited in the embodiment of the present invention.

[0100] 303. Establish an association relationship between the typical fault temperature distribution characteristics and the corresponding typical fault type, and save the association relationship in a typical fault type knowledge base.

[0101] In an embodiment of the present invention, the current execution end establishes an association relationship between the typical fault temperature distribution characteristics and the corresponding typical fault type. For example, through the identification of the temperature distribution characteristics of the electrolytic cell, it is found that the temperature of a certain electrolytic chamber is significantly higher than the temperature of the nearby chambers, indicating that there may be problems such as diaphragm damage or plate corrosion. Then, an association relationship is established between the temperature distribution characteristics and diaphragm damage or plate corrosion, which is not specifically limited in the embodiment of the present invention. The association relationship is then saved in the typical fault type knowledge base, and the typical fault type corresponding to the typical fault temperature distribution characteristics can be obtained later by querying the typical fault type knowledge base.

[0102] Further, as a refinement and extension of the specific implementation of the above embodiment, in order to clarify the fault type and locate the fault so that the relevant person in charge can promptly perform maintenance on the fault location, another fault diagnosis method for the electrolysis hydrogen production system is provided, such as Figure 4 As shown, the step performs fault classification processing on the temperature distribution characteristics to obtain the target fault type of the electrolysis hydrogen production system, including:

[0103] 401. Obtain the typical fault type knowledge base;

[0104] 402. Perform fault classification processing on the temperature distribution characteristics using a pre-trained fault classification model based on the typical fault type knowledge base to obtain a target fault type of the hydrogen production system by electrolysis.

[0105] In an embodiment of the present invention, the current execution end obtains a typical fault type knowledge base constructed from steps 301 to 303, and then uses a pre-trained fault classification model based on the typical fault type knowledge base to perform fault classification processing on the temperature distribution characteristics, that is, the temperature distribution characteristics are input into the pre-trained fault classification model to obtain the target fault type of the hydrogen electrolysis system.

[0106] It should be noted that the typical fault type in the embodiment of the present invention includes fault location information; after step 402, the method further includes:

[0107] 403. Perform fault location processing based on the target fault type to obtain target fault location information corresponding to the hydrogen production system by electrolysis;

[0108] 404. Generate fault warning information based on the target fault location information, and send the fault warning information to relevant responsible persons.

[0109] In the embodiment of the present invention, since step 301 divides the faults of the hydrogen production system by electrolysis into multiple typical fault types before establishing a typical fault type knowledge base, each type corresponds to a fault location. Therefore, after the current execution end obtains the target fault type, the fault location processing can be performed according to the target fault type to obtain the target fault location information corresponding to the hydrogen production system by electrolysis. Then, the current execution end generates fault alarm information based on the fault location information and sends the fault alarm information to the relevant responsible person.

[0110] It should be noted that the current execution end in the above embodiment can be an execution subject with functions such as computing, information transmission, and control, such as a server or a monitoring center. In the embodiment of the present invention, taking the current execution end as a monitoring center as an example, an infrared thermal imaging system, a power supply system, an audio-visual alarm system, a display screen, and other external devices can be connected through the transmission system. Among them, the transmission system provides the networking capability of system interconnection and information interaction. In order to ensure the quality of data, the transmission methods mainly include cable transmission, optical cable transmission, etc. In combination with the actual situation on site and the characteristics of the product, the system adopts the network cable transmission method to complete the transmission requirements in real time and quickly. Among them, the external thermal imaging system can also provide early warning signals, monitor the maximum temperature and abnormal temperature distribution of objects in the field of view, and alarm the system when the set alarm temperature rise is exceeded. Among them, the power supply system is used to provide basic power guarantee for the operation of the system. The power system meets the normal power supply requirements according to the specific conditions of each monitoring point, and ensures the safety of the transmission line. Among them, the audio-visual alarm system can be connected to a relay through the two output interfaces behind the thermal imager. There is 1 relay output and 1 input. The output can be connected to an external audio-visual alarm, and the input supports level detection, which can be linked to the alarm. The alarm is determined by the back end after receiving the temperature data, and then controlling whether to alarm; the front end only provides data and does not make alarm judgments. Among them, the display screen is used to realize the image display of the video signal, providing the operator with a comprehensive, clear, operable, recordable, and replayable real-time on-site image. The processed thermal imaging results, preliminary fault type identification results, and fault levels can also be displayed to the user in real time, which is not specifically limited in the embodiments of the present invention.

[0111] The embodiment of the present invention provides a fault diagnosis method for an electrolytic hydrogen production system. Compared with the prior art, the present invention obtains the operating parameters of the electrolytic hydrogen production system, and determines the operating state of the electrolytic hydrogen production system based on the operating parameters; obtains the thermal imaging picture of the equipment of the electrolytic hydrogen production system in an abnormal state, and performs target recognition processing on the thermal imaging picture of the equipment to obtain a thermal imaging picture of the target equipment; extracts the temperature distribution characteristics of the thermal imaging picture of the target equipment, and performs fault classification processing on the temperature distribution characteristics to obtain the target fault type of the electrolytic hydrogen production system, thereby realizing rapid, accurate, and non-contact fault diagnosis of the alkaline water electrolytic hydrogen production system. The present invention can not only ensure the continuous and stable production of the electrolytic hydrogen production system, but also better locate equipment faults, facilitate timely maintenance, extend the service life of equipment, and create greater benefits for enterprises.

[0112] As the above Figure 1 The embodiment of the present invention provides a fault diagnosis device for an electrolytic hydrogen production system, such as Figure 5 As shown, the device comprises:

[0113] The abnormality judgment module 51 is used to obtain the operating parameters of the hydrogen production system by electrolysis, and judge the operating state of the hydrogen production system by electrolysis based on the operating parameters;

[0114] The target recognition module 52 is used to obtain a thermal imaging picture of the equipment of the hydrogen production system by electrolysis in an abnormal state, and perform target recognition processing on the thermal imaging picture of the equipment to obtain a thermal imaging picture of the target equipment;

[0115] The extraction and classification module 53 is used to extract the temperature distribution characteristics of the thermal imaging image of the target device, and perform fault classification processing on the temperature distribution characteristics to obtain the target fault type of the electrolysis hydrogen production system.

[0116] Furthermore, the device also includes a preprocessing module, which is used to:

[0117] Performing image contrast processing on the thermal imaging image of the device using a histogram equalization method; or,

[0118] Using bilateral filtering to denoise the thermal imaging image of the device; or,

[0119] An image enhancement algorithm is used to perform image enhancement processing on the thermal imaging picture of the device.

[0120] Furthermore, the target identification module 52 is also used for:

[0121] Acquire historical equipment thermal imaging pictures of the electrolytic hydrogen production system, and perform equipment marking processing on the historical equipment thermal imaging pictures to obtain marked equipment thermal imaging pictures;

[0122] Using the marked device thermal imaging pictures to perform model training processing to obtain a recognition model for identifying each device;

[0123] The recognition model is used to perform target recognition processing on the thermal imaging picture of the device to obtain the thermal imaging picture of the target device.

[0124] Furthermore, the extraction and classification module 53 includes a feature extraction unit, which is used to:

[0125] The target device thermal imaging image is subjected to target segmentation processing to obtain a target device area; and a feature extraction model is used to perform feature extraction processing on the target device area to obtain the temperature distribution feature of the target device.

[0126] Furthermore, the device also includes a knowledge base construction module, which is used to:

[0127] Acquire a typical fault thermal imaging picture corresponding to a typical fault type, and perform target segmentation processing on the typical fault thermal imaging picture to obtain a typical fault device area;

[0128] Using the feature extraction model to perform feature extraction processing on the typical fault equipment area to obtain typical fault temperature distribution characteristics;

[0129] An association relationship is established between the typical fault temperature distribution characteristics and the corresponding typical fault types, and the association relationship is saved in a typical fault type knowledge base.

[0130] Furthermore, the extraction and classification module 53 also includes a fault classification unit, which is used to:

[0131] Acquire the typical fault type knowledge base;

[0132] Based on the typical fault type knowledge base, a pre-trained fault classification model is used to perform fault classification processing on the temperature distribution characteristics to obtain the target fault type of the electrolysis hydrogen production system.

[0133] Furthermore, the typical fault type includes fault location information; the device also includes a location and alarm module, which is used to:

[0134] Performing fault location processing based on the target fault type to obtain target fault location information corresponding to the electrolysis hydrogen production system;

[0135] Fault warning information is generated based on the target fault location information, and the fault warning information is sent to relevant responsible persons.

[0136] The embodiment of the present invention provides a fault diagnosis device for an electrolytic hydrogen production system. Compared with the prior art, the present invention obtains the operating parameters of the electrolytic hydrogen production system and determines the operating state of the electrolytic hydrogen production system based on the operating parameters; obtains the thermal imaging picture of the equipment of the electrolytic hydrogen production system in an abnormal state, and performs target recognition processing on the thermal imaging picture of the equipment to obtain a thermal imaging picture of the target equipment; extracts the temperature distribution characteristics of the thermal imaging picture of the target equipment, and performs fault classification processing on the temperature distribution characteristics to obtain the target fault type of the electrolytic hydrogen production system, thereby realizing rapid, accurate, and non-contact fault diagnosis of the alkaline water electrolytic hydrogen production system. The present invention can not only ensure the continuous and stable production of the electrolytic hydrogen production system, but also better locate equipment faults, facilitate timely maintenance, extend the service life of equipment, and create greater benefits for enterprises.

[0137] According to one embodiment of the present invention, a storage medium is provided, wherein the storage medium stores at least one executable instruction, and the computer executable instruction can execute the fault diagnosis method for the hydrogen production system by electrolysis in any of the above method embodiments.

[0138] Figure 6 A schematic diagram of the structure of a computer device provided according to an embodiment of the present invention is shown. The specific embodiment of the present invention does not limit the specific implementation of the computer device.

[0139] like Figure 6 As shown, the computer device may include: a processor (processor) 602 , a communication interface (Communications Interface) 604 , a memory (memory) 606 , and a communication bus 608 .

[0140] The processor 602 , the communication interface 604 , and the memory 606 communicate with each other via a communication bus 608 .

[0141] The communication interface 604 is used to communicate with other devices such as clients or other servers.

[0142] The processor 602 is used to execute the program 610, and specifically can execute the relevant steps of the fault diagnosis method of the above-mentioned hydrogen production system by electrolysis.

[0143] Specifically, the program 610 may include program codes, which include computer operation instructions.

[0144] The processor 602 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention. The one or more processors included in the computer device may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0145] The memory 606 is used to store the program 610. The memory 606 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0146] The program 610 may be specifically configured to enable the processor 602 to perform the following operations:

[0147] Acquiring operating parameters of a hydrogen production system by electrolysis, and determining an operating state of the hydrogen production system by electrolysis based on the operating parameters;

[0148] Acquire a thermal imaging picture of the equipment of the hydrogen production system by electrolysis in an abnormal state, and perform target recognition processing on the thermal imaging picture of the equipment to obtain a thermal imaging picture of the target equipment;

[0149] The temperature distribution characteristics of the thermal imaging image of the target device are extracted, and the temperature distribution characteristics are subjected to fault classification processing to obtain the target fault type of the electrolysis hydrogen production system.

[0150] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0151] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A fault diagnosis method for an electrolytic hydrogen production system, characterized in that: include: Acquiring operating parameters of a hydrogen production system by electrolysis, and determining an operating state of the hydrogen production system by electrolysis based on the operating parameters; Acquire a thermal imaging picture of the equipment of the hydrogen production system by electrolysis in an abnormal state, and perform target recognition processing on the thermal imaging picture of the equipment to obtain a thermal imaging picture of the target equipment; The temperature distribution characteristics of the thermal imaging image of the target device are extracted, and the temperature distribution characteristics are subjected to fault classification processing to obtain the target fault type of the electrolysis hydrogen production system.

2. The method according to claim 1, characterized in that After obtaining the thermal imaging picture of the equipment of the electrolytic hydrogen production system in the abnormal state, the method further includes preprocessing the thermal imaging picture of the equipment, and the preprocessing includes: Performing image contrast processing on the thermal imaging image of the device using a histogram equalization method; or, Using bilateral filtering to denoise the thermal imaging image of the device; or, An image enhancement algorithm is used to perform image enhancement processing on the thermal imaging picture of the device.

3. The method according to claim 1, characterized in that The performing target recognition processing on the thermal imaging picture of the device to obtain a thermal imaging picture of the target device includes: Acquire historical equipment thermal imaging pictures of the electrolytic hydrogen production system, and perform equipment marking processing on the historical equipment thermal imaging pictures to obtain marked equipment thermal imaging pictures; The marked thermal imaging images of the devices are used to perform model training processing to obtain a recognition model for identifying each device; The recognition model is used to perform target recognition processing on the thermal imaging picture of the device to obtain the thermal imaging picture of the target device.

4. The method according to claim 1, characterized in that: The step of extracting the temperature distribution characteristics of the thermal imaging image of the target device includes: Performing target segmentation processing on the target device thermal imaging image to obtain a target device area; A feature extraction model is used to perform feature extraction processing on the target device area to obtain the temperature distribution characteristics of the target device.

5. The method according to claim 4, characterized in that Before performing fault classification processing on the temperature distribution characteristics to obtain a target fault type of the electrolytic hydrogen production system, the method further includes: Acquire a typical fault thermal imaging picture corresponding to a typical fault type, and perform target segmentation processing on the typical fault thermal imaging picture to obtain a typical fault device area; Using the feature extraction model to perform feature extraction processing on the typical fault equipment area to obtain typical fault temperature distribution characteristics; An association relationship is established between the typical fault temperature distribution characteristics and the corresponding typical fault types, and the association relationship is saved in a typical fault type knowledge base.

6. The method according to claim 5, characterized in that The performing fault classification processing on the temperature distribution characteristics to obtain a target fault type of the electrolysis hydrogen production system includes: Acquire the typical fault type knowledge base; Based on the typical fault type knowledge base, a pre-trained fault classification model is used to perform fault classification processing on the temperature distribution characteristics to obtain the target fault type of the electrolysis hydrogen production system.

7. The method according to claim 6, characterized in that The typical fault type includes fault location information; After obtaining the target fault type of the hydrogen production system by electrolysis, the method further includes: Performing fault location processing based on the target fault type to obtain target fault location information corresponding to the electrolysis hydrogen production system; Fault warning information is generated based on the target fault location information, and the fault warning information is sent to relevant responsible persons.

8. A fault diagnosis device for an electrolytic hydrogen production system, characterized in that: include: An abnormality judgment module is used to obtain operating parameters of the hydrogen production system by electrolysis, and judge the operating state of the hydrogen production system by electrolysis based on the operating parameters; A target recognition module is used to obtain a thermal imaging picture of the equipment of the hydrogen production system by electrolysis in an abnormal state, and perform target recognition processing on the thermal imaging picture of the equipment to obtain a thermal imaging picture of the target equipment; The extraction and classification module is used to extract the temperature distribution characteristics of the thermal imaging image of the target device, and perform fault classification processing on the temperature distribution characteristics to obtain the target fault type of the electrolysis hydrogen production system.

9. A storage medium, wherein at least one executable instruction is stored in the storage medium, and the executable instruction executes an operation corresponding to the fault diagnosis method for a hydrogen production system by electrolysis as described in any one of claims 1 to 7.

10. A computer device, comprising a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to the fault diagnosis method for the electrolysis hydrogen production system according to any one of claims 1-7.

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