Electrolytic hydrogen production operation and maintenance system and method, electronic equipment, medium and program product

Abstract

The invention provides an electrolytic hydrogen production operation and maintenance system and method, electronic equipment, a medium and a program product, the electrolytic hydrogen production operation and maintenance system is in butt joint with a plurality of electrolytic hydrogen production devices, and the electrolytic hydrogen production operation and maintenance system comprises a data acquisition module used for acquiring operation data of each electrolytic hydrogen production device; the intelligent analysis module comprises a fault diagnosis model and a performance optimization model and is used for inputting the operation data into the fault diagnosis model, so that the fault diagnosis model extracts a first feature from the operation data and outputs fault data of the electrolytic hydrogen production equipment according to the first feature; and inputting the operation data into the performance optimization model, so that the performance optimization model extracts a second feature from the operation data and outputs optimization control data to the corresponding electrolytic hydrogen production equipment according to the second feature to trigger the electrolytic hydrogen production equipment to operate according to the optimization control data, the comprehensive, real-time and efficient monitoring, fault early warning and performance optimization of the electrolytic hydrogen production equipment are realized, and the safety and the operation efficiency of the electrolytic hydrogen production equipment are improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of hydrogen production by electrolysis, and in particular to an operation and maintenance system and method for hydrogen production by electrolysis, electronic equipment, medium, and program product. Background Art

[0002] As the global demand for clean energy continues to grow, hydrogen electrolysis has received widespread attention and application as an efficient and environmentally friendly way to produce hydrogen. However, during the operation of hydrogen electrolysis equipment, real-time and accurate monitoring and maintenance are required to ensure its safe, stable and efficient operation. At present, traditional operation and maintenance monitoring methods have many shortcomings, such as incomplete data collection, inaccurate analysis, untimely fault diagnosis and inefficient performance optimization, which cannot meet the growing operation and maintenance needs of hydrogen electrolysis equipment. Summary of the invention

[0003] The technical problem to be solved by the present disclosure is to overcome the defects of the traditional operation and maintenance monitoring method of hydrogen production by electrolysis in the prior art, such as untimely fault diagnosis and low performance optimization efficiency, and to provide a hydrogen production by electrolysis operation and maintenance system and method, electronic equipment, medium, and program product.

[0004] The present invention solves the above technical problems through the following technical solutions:

[0005] An electrolytic hydrogen production operation and maintenance system, the electrolytic hydrogen production operation and maintenance system is connected to a plurality of the electrolytic hydrogen production equipment, the electrolytic hydrogen production operation and maintenance system comprises: a data acquisition module, an intelligent analysis module;

[0006] The data acquisition module is used to acquire the operation data of each electrolytic hydrogen production equipment;

[0007] The intelligent analysis module includes a fault diagnosis model and a performance optimization model, which is used to input the operation data into the fault diagnosis model so that the fault diagnosis model extracts a first feature related to fault diagnosis from the operation data and outputs the fault data of the electrolysis hydrogen production equipment according to the first feature; input the operation data into the performance optimization model so that the performance optimization model extracts a second feature related to the performance of the electrolysis hydrogen production equipment from the operation data and outputs the optimization control data to the corresponding electrolysis hydrogen production equipment according to the second feature, so as to trigger the electrolysis hydrogen production equipment to operate according to the optimization control data;

[0008] The fault diagnosis model is obtained by training the Transformer architecture through a first training sample, and the first training sample includes an operating data sample and a corresponding fault data sample; the performance optimization model is obtained by training the Transformer architecture through a second training sample, and the second training sample includes an operating data sample and a corresponding control sample.

[0009] Optionally, the electrolysis hydrogen production operation and maintenance system further includes: a data processing module, which is used to clean the operation data and normalize the cleaned data.

[0010] Optionally, the electrolysis hydrogen production operation and maintenance system further includes: a monitoring and display module;

[0011] The monitoring and display module is used to obtain the operating status, operating data and fault data of the electrolytic hydrogen production equipment from the controller of the electrolytic hydrogen production equipment and display them on the user interface.

[0012] Optionally, the electrolysis hydrogen production operation and maintenance system further includes: a remote control module;

[0013] The remote control module establishes a remote communication connection between the electrolytic hydrogen production operation and maintenance system and the electrolytic hydrogen production equipment to obtain operation data of each electrolytic hydrogen production equipment.

[0014] Optionally, the operating data includes: electrolytic cell inlet and outlet water temperatures, water pump speed, water flow, electrolysis current, hydrogen side temperature, oxygen side temperature, hydrogen side pressure, oxygen side pressure, hydrogen side back pressure angle, oxygen side back pressure angle.

[0015] Optionally, the data acquisition module is communicatively connected with a data acquisition module deployed on the electrolytic hydrogen production equipment;

[0016] The operating data acquired by the data acquisition module is the data encrypted by the data collection module. The data acquisition module also decrypts the encrypted data and inputs it into the intelligent analysis module.

[0017] An electrolysis hydrogen production operation and maintenance method is applied to the electrolysis hydrogen production operation and maintenance system as described in any one of the above items, and the electrolysis hydrogen production operation and maintenance method comprises:

[0018] Obtain the operating data of each electrolytic hydrogen production equipment;

[0019] Inputting the operating data into the fault diagnosis model, so that the fault diagnosis model extracts a first feature related to fault diagnosis from the operating data and outputs fault data of the hydrogen production equipment by electrolysis according to the first feature; inputting the operating data into the performance optimization model, so that the performance optimization model extracts a second feature related to the performance of the hydrogen production equipment from the operating data and outputs optimized control data to the corresponding hydrogen production equipment by electrolysis according to the second feature, so as to trigger the hydrogen production equipment by electrolysis to operate according to the optimized control data;

[0020] Among them, the fault diagnosis model is obtained by training the Transformer architecture through the first training sample, and the first training sample includes an operating data sample and a corresponding fault data sample; the performance optimization model is obtained by training the Transformer architecture through the second training sample, and the second training sample includes an operating data sample and a corresponding optimized control data sample; the performance optimization model is used to filter out the operating data with the best energy efficiency ratio of the electrolysis hydrogen production equipment from the operating data as the optimized control data.

[0021] An electronic device comprises a memory, a processor and a computer program stored in the memory and used to run on the processor, wherein the processor implements the above-mentioned electrolysis hydrogen production operation and maintenance method when executing the computer program.

[0022] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned electrolysis hydrogen production operation and maintenance method.

[0023] A computer program product includes a computer program, and when the computer program is executed by a processor, the electrolysis hydrogen production operation and maintenance method described above is implemented. On the basis of conforming to the common sense in the field, the above-mentioned preferred conditions can be arbitrarily combined to obtain the preferred embodiments of the present disclosure.

[0024] The positive progressive effect of the present disclosure is that by constructing an electrolytic hydrogen production operation and maintenance system, comprehensive, real-time and efficient monitoring, fault warning and performance optimization of electrolytic hydrogen production equipment can be achieved, thereby improving the safety and operation efficiency of electrolytic hydrogen production equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 A module schematic diagram of an electrolysis hydrogen production operation and maintenance system provided for an exemplary embodiment of the present disclosure.

[0026] Figure 2 A schematic flow chart of an electrolysis hydrogen production operation and maintenance method provided as an exemplary embodiment of the present disclosure.

[0027] Figure 3 A data transmission flow chart of an electrolysis hydrogen production operation and maintenance system provided as an exemplary embodiment of the present disclosure.

[0028] Figure 4 A logical architecture diagram of an electrolysis hydrogen production operation and maintenance system provided for an exemplary embodiment of the present disclosure.

[0029] Figure 5 A physical architecture diagram of an electrolysis hydrogen production operation and maintenance system provided for an exemplary embodiment of the present disclosure.

[0030] Figure 6 The present invention is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present invention. DETAILED DESCRIPTION

[0031] The present disclosure is further described below by way of examples, but the present disclosure is not limited to the scope of the examples.

[0032] Prefixes such as "first" and "second" are used in the embodiments of the present disclosure only to distinguish different description objects, and have no limiting effect on the position, order, priority, quantity or content of the described objects. The use of prefixes such as ordinal numbers to distinguish description objects in the embodiments of the present disclosure does not constitute a limitation on the described objects. For the statement of the described objects, please refer to the description in the context of the claims or embodiments, and no unnecessary limitation should be constituted due to the use of such prefixes. In addition, in the description of the present embodiment, unless otherwise specified, the meaning of "plurality" is two or more.

[0033] Figure 1 A schematic diagram of a module of an electrolytic hydrogen production operation and maintenance system provided by an exemplary embodiment of the present disclosure, wherein the electrolytic hydrogen production operation and maintenance system is connected to a plurality of electrolytic hydrogen production equipments, and the electrolytic hydrogen production operation and maintenance system comprises: a data acquisition module, an intelligent analysis module;

[0034] The data acquisition module 101 is used to acquire the operation data of each electrolytic hydrogen production equipment;

[0035] The intelligent analysis module 102 includes a fault diagnosis model and a performance optimization model, and is used to input the operation data into the fault diagnosis model, so that the fault diagnosis model extracts a first feature related to fault diagnosis from the operation data and outputs the fault data of the electrolysis hydrogen production equipment according to the first feature; input the operation data into the performance optimization model, so that the performance optimization model extracts a second feature related to the performance of the electrolysis hydrogen production equipment from the operation data and outputs the optimization control data to the corresponding electrolysis hydrogen production equipment according to the second feature, so as to trigger the electrolysis hydrogen production equipment to operate according to the optimization control data;

[0036] Among them, the fault diagnosis model is obtained by training the Transformer architecture through the first training sample, and the first training sample includes the operating data sample and the corresponding fault data sample; the performance optimization model is obtained by training the Transformer architecture through the second training sample, and the second training sample includes the operating data sample and the corresponding control sample; the performance optimization model is used to screen out the operating data with the best energy efficiency ratio of the electrolysis hydrogen production equipment from the operating data as the optimized control data.

[0037] In this embodiment, the electrolytic hydrogen production operation and maintenance system is connected to each electrolytic hydrogen production equipment through the Internet. Various sensors are installed on the electrolytic hydrogen production equipment, such as voltage sensors and current sensors installed at the electrodes of the electrolyzer, and pressure sensors and temperature sensors installed on the hydrogen storage tank. Various sensors collect the required information and collect information through the PLC controller in the electrolytic hydrogen production equipment. The data acquisition terminal on the electrolytic hydrogen production equipment is connected to the PLC controller by wire or wireless means, and the collected data is sent to the electrolytic hydrogen production operation and maintenance system. The data acquisition module 101 in the electrolytic hydrogen production operation and maintenance system obtains operating data from the electrolytic hydrogen production equipment, wherein the operating data includes but is not limited to the operating status, voltage, current, temperature, pressure, flow and other key parameters of the electrolytic hydrogen production equipment. The intelligent analysis module 102 includes a fault diagnosis model and a performance optimization model. The fault diagnosis model is obtained by training the Transformer architecture through the first training sample. The first training sample refers to key parameters such as the inlet and outlet water temperature of the electrolyzer, the water pump speed, the water flow rate, the electrolysis current, the hydrogen side temperature, the oxygen side temperature, the hydrogen side pressure, the oxygen side pressure, the hydrogen side back pressure angle, the oxygen side back pressure angle, etc.; the Transformer replaces the traditional RNN network structure with the Self-Attention mechanism, thereby realizing parallel computing and significantly improving the computing efficiency of the model. After the operation data is input into the fault diagnosis model, the fault diagnosis model processes the operation data according to the first feature and outputs the fault data of the electrolytic hydrogen production equipment, for example, the water pump fault data is obtained by calculating the inlet and outlet water temperature of the electrolyzer, the water pump speed, the water flow rate, and the electrolysis current time series data; the temperature transmitter fault data is obtained by calculating the hydrogen side temperature, the oxygen side temperature, and the electrolysis current time series data; the hydrogen side pressure, the oxygen side pressure, the hydrogen side back pressure angle, and the oxygen side back pressure angle time series data calculate: the hydrogen side and oxygen side pressure difference is too high or too low abnormal. The fault diagnosis model is trained with the first training sample to obtain the first feature. The performance optimization model is obtained by training the Transformer architecture through the second training sample. The second training sample refers to the electrolysis voltage, electrolysis current, electrolyzer inlet and outlet water temperature, hydrogen side temperature, oxygen side temperature, hydrogen side pressure, oxygen side pressure and other data. After the operation data is input into the performance optimization model, the performance optimization model processes the operation data according to the second feature and outputs the optimization control data of the electrolysis hydrogen production equipment; for example, the optimal performance optimization control data is calculated according to the electrolysis voltage, electrolysis current, electrolyzer inlet and outlet water temperature, hydrogen side temperature, oxygen side temperature, hydrogen side pressure, oxygen side pressure, hydrogen side back pressure angle, oxygen side back pressure angle, water pump speed, water flow and other data. The performance optimization data means that the electrolysis hydrogen production equipment is operated under the operating parameters, the electrolysis hydrogen production equipment has the highest operating efficiency, consumes less raw materials, produces more hydrogen and produces hydrogen at a fast speed. The performance optimization model is trained with the first training sample to obtain the second feature.

[0038] This embodiment constructs an electrolytic hydrogen production operation and maintenance system and uses a model to achieve comprehensive, real-time, and efficient monitoring, fault warning, and performance optimization of the electrolytic hydrogen production equipment, discover potential faults, and improve the safety and operation efficiency of the electrolytic hydrogen production equipment.

[0039] In one embodiment, the electrolysis hydrogen production operation and maintenance system further includes: a data processing module, which is used to clean the operation data acquired by the data acquisition module 101 and normalize the cleaned data.

[0040] For example, in this embodiment, the voltage and current are normalized by the data processing module. For voltage, the single-chip voltage collected by the CVM is set by the manufacturer in millivolts (mV), but in order to calculate the unified use of volts (V), it is necessary to convert millivolts to volts. The conversion formula is: mV*0.001; for current, the data collected through the interface provided by the manufacturer is milliamperes (mA), which also need to be converted into a unified ampere (A). The conversion formula is mA*0.001.

[0041] In this embodiment, the voltage and current are normalized by the data processing module, the units of the data are unified, and the unit conversion problem in the calculation process is simplified.

[0042] In one embodiment, the electrolysis hydrogen production operation and maintenance system further includes: a monitoring and display module;

[0043] The monitoring and display module is used to obtain the operating status, operating data and fault data of the electrolytic hydrogen production equipment from the controller of the electrolytic hydrogen production equipment and display them on the user interface.

[0044] In this embodiment, the monitoring and display module obtains operating data from the controller (PLC / ECU) of the electrolytic hydrogen production equipment. The electrolytic hydrogen production operation and maintenance system does not process the obtained data, but displays it in real time on the user interface of the electrolytic hydrogen production operation and maintenance system.

[0045] This embodiment sets up a monitoring display module and displays the operating status, operating data, fault data, etc., so that the user can monitor the operating status of the electrolytic hydrogen production equipment in real time through the module and discover and solve problems in time.

[0046] In one embodiment, the electrolysis hydrogen production operation and maintenance system further includes: a remote control module;

[0047] The remote control module establishes a remote communication connection between the electrolytic hydrogen production operation and maintenance system and the electrolytic hydrogen production equipment to obtain the operating data of each electrolytic hydrogen production equipment.

[0048] In this embodiment, by establishing a remote communication connection between the hydrogen production by electrolysis operation and maintenance system and the hydrogen production by electrolysis equipment, remote fault diagnosis and troubleshooting of the hydrogen production by electrolysis equipment is achieved, thereby improving the efficiency and accuracy of fault handling.

[0049] In one embodiment, the operating data includes: electrolytic cell inlet and outlet water temperatures, water pump speed, water flow rate, electrolysis current, hydrogen side temperature, oxygen side temperature, hydrogen side pressure, oxygen side pressure, hydrogen side back pressure angle, and oxygen side back pressure angle.

[0050] In this embodiment, the operating status of each device can be accurately reflected by acquiring the type of specific operating data.

[0051] In one embodiment, the data acquisition module is in communication connection with a data acquisition module deployed on the electrolytic hydrogen production equipment;

[0052] The operating data acquired by the data acquisition module is the data encrypted by the data collection module. The data acquisition module also decrypts the encrypted data and inputs it into the intelligent analysis module.

[0053] In this embodiment, the data acquisition module is deployed in the electrolysis hydrogen production operation and maintenance system, and the data collection module is deployed in the electrolysis hydrogen production equipment. The data collection module encrypts the collected operation data and sends it to the data acquisition module. The data acquisition module decrypts the received operation data and inputs the decrypted operation data into the intelligent analysis module for processing.

[0054] In this embodiment, the data acquisition module on the electrolytic hydrogen production operation and maintenance system is connected to the data acquisition module on the electrolytic hydrogen production equipment to improve the security of data transmission.

[0055] Corresponding to the aforementioned electrolysis hydrogen production operation and maintenance system embodiment, the present disclosure also provides an embodiment of an electrolysis hydrogen production operation and maintenance method.

[0056] Figure 2 A schematic flow chart of an electrolytic hydrogen production operation and maintenance method provided for an exemplary embodiment of the present disclosure is applied to any of the above-mentioned electrolytic hydrogen production operation and maintenance systems, and the electrolytic hydrogen production operation and maintenance method includes:

[0057] Obtain the operating data of each electrolytic hydrogen production equipment;

[0058] Inputting the operation data into a fault diagnosis model, so that the fault diagnosis model extracts a first feature related to fault diagnosis from the operation data and outputs fault data of the electrolytic hydrogen production equipment according to the first feature; inputting the operation data into a performance optimization model, so that the performance optimization model extracts a second feature related to the performance of the electrolytic hydrogen production equipment from the operation data and outputs optimized control data to the corresponding electrolytic hydrogen production equipment according to the second feature, so as to trigger the electrolytic hydrogen production equipment to operate according to the optimized control data;

[0059] Among them, the fault diagnosis model is obtained by training the Transformer architecture through the first training sample, and the first training sample includes the operating data sample and the corresponding fault data sample; the performance optimization model is obtained by training the Transformer architecture through the second training sample, and the second training sample includes the operating data sample and the corresponding optimization control data sample; the performance optimization model is used to screen out the operating data with the best energy efficiency ratio of the electrolysis hydrogen production equipment from the operating data as the optimization control data.

[0060] In this embodiment, the electrolytic hydrogen production operation and maintenance system is connected to each electrolytic hydrogen production equipment through the Internet. Various sensors are installed on the electrolytic hydrogen production equipment, such as voltage sensors and current sensors installed at the electrodes of the electrolyzer, and pressure sensors and temperature sensors installed on the hydrogen storage tank. Various sensors collect the required information and collect information through the PLC controller in the electrolytic hydrogen production equipment. The data acquisition terminal on the electrolytic hydrogen production equipment is connected to the PLC controller by wire or wireless means, and the collected data is sent to the electrolytic hydrogen production operation and maintenance system. The data acquisition module 101 in the electrolytic hydrogen production operation and maintenance system obtains operating data from the electrolytic hydrogen production equipment, wherein the operating data includes but is not limited to the operating status, voltage, current, temperature, pressure, flow and other key parameters of the electrolytic hydrogen production equipment. The intelligent analysis module 102 includes a fault diagnosis model and a performance optimization model. The fault diagnosis model is obtained by training the Transformer architecture through the first training sample. The first training sample refers to key parameters such as the inlet and outlet water temperature of the electrolyzer, the water pump speed, the water flow rate, the electrolysis current, the hydrogen side temperature, the oxygen side temperature, the hydrogen side pressure, the oxygen side pressure, the hydrogen side back pressure angle, the oxygen side back pressure angle, etc.; the Transformer replaces the traditional RNN network structure with the Self-Attention mechanism, thereby realizing parallel computing and significantly improving the computing efficiency of the model. After the operation data is input into the fault diagnosis model, the fault diagnosis model processes the operation data according to the first feature and outputs the fault data of the electrolytic hydrogen production equipment, for example, the water pump fault data is obtained by calculating the inlet and outlet water temperature of the electrolyzer, the water pump speed, the water flow rate, and the electrolysis current time series data; the temperature transmitter fault data is obtained by calculating the hydrogen side temperature, the oxygen side temperature, and the electrolysis current time series data; the hydrogen side pressure, the oxygen side pressure, the hydrogen side back pressure angle, and the oxygen side back pressure angle time series data calculate: the hydrogen side and oxygen side pressure difference is too high or too low abnormal. The fault diagnosis model is trained with the first training sample to obtain the first feature. The performance optimization model is obtained by training the Transformer architecture through the second training sample. The second training sample refers to the electrolysis voltage, electrolysis current, electrolyzer inlet and outlet water temperature, hydrogen side temperature, oxygen side temperature, hydrogen side pressure, oxygen side pressure and other data. After the operation data is input into the performance optimization model, the performance optimization model processes the operation data according to the second feature and outputs the optimization control data of the electrolysis hydrogen production equipment; for example, the optimal performance optimization control data is calculated according to the electrolysis voltage, electrolysis current, electrolyzer inlet and outlet water temperature, hydrogen side temperature, oxygen side temperature, hydrogen side pressure, oxygen side pressure, hydrogen side back pressure angle, oxygen side back pressure angle, water pump speed, water flow and other data. The performance optimization data means that the electrolysis hydrogen production equipment is operated under the operating parameters, the electrolysis hydrogen production equipment has the highest operating efficiency, consumes less raw materials, produces more hydrogen and produces hydrogen at a fast speed. The performance optimization model is trained with the first training sample to obtain the second feature.

[0061] This embodiment constructs an electrolytic hydrogen production operation and maintenance system and uses a model to achieve comprehensive, real-time, and efficient monitoring, fault warning, and performance optimization of the electrolytic hydrogen production equipment, discover potential faults, and improve the safety and operation efficiency of the electrolytic hydrogen production equipment.

[0062] Figure 3A data transmission flow chart of an electrolytic hydrogen production operation and maintenance system provided for an exemplary embodiment of the present disclosure. The operation data collected on the electrolytic hydrogen production equipment is collected by various sensors, such as IOT1, IOT2, Tbox1, Tbox2, etc. The collected operation data is sent to the storage layer of the electrolytic hydrogen production operation and maintenance system through the MQTT (Message Queuing Telemetry Transport) message transmission protocol. The storage layer aggregates and processes the data. The data aggregation is completed using the Springboot module in the Spring framework and the Netty programming framework, using Mqtt and Python languages, and then stored in the corresponding InfluxDB database and Redis database. The data in the database is managed through the MySQL database management system. The DAO layer (Data Access Object Layer) in the business processing layer interacts with the data source of the storage layer. The DAO layer includes influxdb-client (influxdb client), including database queries, stored procedure calls, etc. Among them, JDBC (Java Database Connectivity) is a way to interact with the database, and MyBatis-Plus is a tool that makes database operations easier; the service layer (Service Layer) encapsulates business logic, implements business rules and processes, and provides business operation interfaces for the control layer (Controller Layer). The control layer is mainly responsible for processing user input and displaying output results. It is a bridge between the user interface and the back-end logic. In the control layer, Spring Security is a powerful and highly customizable Java security framework. mico-xss is a Java library for handling XSS (cross-site scripting attacks). Spring Cloud Alibaba is an open source microservice solution. It is built on Spring Cloud and provides a set of powerful tools and frameworks for building distributed applications, including a distributed configuration center (Nacos). The service layer is based on the Java Spring framework, in which Quartz is a Java task scheduling library, and the presentation layer (Presentation The presentation layer is responsible for displaying information to users and receiving user input. The development of the presentation layer is based on technology stack components commonly used in front-end development, such as VUE3, Element Plus, Axios, ECharts and UniApp.

[0063] Figure 4A logical architecture diagram of an electrolytic hydrogen production operation and maintenance system provided for an exemplary embodiment of the present disclosure. The acquisition end transmits the collected data from the electrolytic hydrogen production equipment to the Internet through the Mqtt / Socket protocol, and transmits it to the load balancing device through the firewall (DMZ Firewall). The load balancing device evenly distributes the workload (such as network traffic or requests) to multiple server clusters. The server cluster includes Nacos cluster, gateway cluster, parsing service cluster (Parse Server backend platform), alarm service cluster (AlarmServer), WEB service cluster (webserver server program), EMQX Broker cluster (distributed Internet of Things (IoT) message server), redis cluster (Remote Dictionary Server), wherein the WEB service cluster also includes NFS shared disk (storage space shared by the network file system protocol). The servers are connected to each other through the Http / Mqtt / Socket protocol to store, process, and transmit data. Client clients, such as mobile phones, win / Linux / MAC OS browsers, are remotely controlled through the network.

[0064] Figure 5 A physical architecture diagram of an electrolytic hydrogen production operation and maintenance system provided for an exemplary embodiment of the present disclosure. The load balancing server is respectively connected to the client device, the acquisition terminal (IOT1, IOT2, Tbox1, Tbox2 and other sensors), the application server and the Nacos platform / Redis (Remote Dictionary Server) cluster server, which is used to distribute network traffic to multiple servers to achieve rational use of resources and rapid response to requests, wherein the application server is also connected to the Nacos / Redis cluster server, the MySQL database management system and the InfluxDB database.

[0065] Figure 6 This is a schematic diagram of the structure of an electronic device shown in an example embodiment of the present disclosure, the electronic device includes a memory, a processor, and a computer program stored in the memory and used to run on the processor, and when the processor executes the computer program, the electrolysis hydrogen production operation and maintenance method described in any of the above embodiments is implemented. Figure 6 The electronic device 60 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0066] like Figure 6As shown, the electronic device 60 may be in the form of a general-purpose computing device, for example, it may be a server device. The components of the electronic device 60 may include, but are not limited to: at least one processor 61, at least one memory 62, and a bus 63 connecting different system components (including the memory 62 and the processor 61).

[0067] The bus 63 includes a data bus, an address bus, and a control bus.

[0068] The memory 62 may include a volatile memory, such as a random access memory (RAM) 621 and / or a cache memory 622 , and may further include a read only memory (ROM) 623 .

[0069] The memory 62 may also include a program tool 625 (or utility) having a set (at least one) of program modules 624, such program modules 624 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0070] The processor 61 executes various functional applications and data processing by running the computer program stored in the memory 62, such as the electrolysis hydrogen production operation and maintenance method provided in any of the above embodiments.

[0071] The electronic device 60 can also communicate with one or more external devices 64 (e.g., keyboards, pointing devices, etc.). This communication can be performed through an input / output (I / O) interface 65. In addition, the electronic device 60 can also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs) and / or public networks, such as the Internet) through a network adapter 66. As shown in the figure, the network adapter 66 communicates with other modules of the electronic device 60 through a bus 63. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the electronic device 60, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.

[0072] It should be noted that although several units / modules or sub-units / modules of the electronic device are mentioned in the above detailed description, this division is merely exemplary and not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided into multiple units / modules to be embodied.

[0073] The embodiments of the present disclosure also provide a computer-readable storage medium having a computer program stored thereon, and when the program is executed by a processor, the electrolysis hydrogen production operation and maintenance method provided in any of the above embodiments is implemented.

[0074] The readable storage medium may include but is not limited to: a portable disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical storage device, a magnetic storage device or any suitable combination of the above.

[0075] The embodiments of the present disclosure also provide a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned methods for operating and maintaining hydrogen production by electrolysis.

[0076] Among them, the program code for executing the computer program product of the present disclosure can be written in any combination of one or more programming languages, and the program code can be executed completely on the user device, partially on the user device, as an independent software package, partially on the user device and partially on a remote device, or completely on the remote device.

[0077] Although the specific embodiments of the present disclosure are described above, those skilled in the art should understand that this is only an example, and the protection scope of the present disclosure is defined by the appended claims. Those skilled in the art may make various changes or modifications to these embodiments without departing from the principles and essence of the present disclosure, but these changes and modifications all fall within the protection scope of the present disclosure.

Claims

1. An electrolysis hydrogen production operation and maintenance system, characterized in that: The electrolytic hydrogen production operation and maintenance system is connected to a plurality of the electrolytic hydrogen production equipments, and the electrolytic hydrogen production operation and maintenance system comprises: a data acquisition module and an intelligent analysis module; The data acquisition module is used to acquire the operation data of each electrolytic hydrogen production equipment; The intelligent analysis module includes a fault diagnosis model and a performance optimization model, which is used to input the operation data into the fault diagnosis model so that the fault diagnosis model extracts a first feature related to fault diagnosis from the operation data and outputs the fault data of the electrolysis hydrogen production equipment according to the first feature; input the operation data into the performance optimization model so that the performance optimization model extracts a second feature related to the performance of the electrolysis hydrogen production equipment from the operation data and outputs the optimization control data to the corresponding electrolysis hydrogen production equipment according to the second feature, so as to trigger the electrolysis hydrogen production equipment to operate according to the optimization control data; The fault diagnosis model is obtained by training the Transformer architecture through a first training sample, and the first training sample includes an operating data sample and a corresponding fault data sample; the performance optimization model is obtained by training the Transformer architecture through a second training sample, and the second training sample includes an operating data sample and a corresponding control sample.

2. The electrolysis hydrogen production operation and maintenance system according to claim 1, characterized in that: The electrolysis hydrogen production operation and maintenance system also includes: a data processing module, which is used to clean the operation data and normalize the cleaned data.

3. The electrolysis hydrogen production operation and maintenance system according to claim 1, characterized in that: The electrolysis hydrogen production operation and maintenance system also includes: a monitoring and display module; The monitoring and display module is used to obtain the operating status, operating data and fault data of the electrolytic hydrogen production equipment from the controller of the electrolytic hydrogen production equipment and display them on the user interface.

4. The electrolysis hydrogen production operation and maintenance system according to claim 1, characterized in that: The electrolysis hydrogen production operation and maintenance system also includes: a remote control module; The remote control module establishes a remote communication connection between the electrolytic hydrogen production operation and maintenance system and the electrolytic hydrogen production equipment to obtain operation data of each electrolytic hydrogen production equipment.

5. The electrolysis hydrogen production operation and maintenance system according to claim 1, characterized in that: The operating data include: electrolytic cell inlet and outlet water temperatures, water pump speed, water flow, electrolysis current, hydrogen side temperature, oxygen side temperature, hydrogen side pressure, oxygen side pressure, hydrogen side back pressure angle, oxygen side back pressure angle.

6. The electrolysis hydrogen production operation and maintenance system according to claim 1, characterized in that: The data acquisition module is communicatively connected with a data acquisition module deployed on the electrolytic hydrogen production equipment; The operating data acquired by the data acquisition module is the data encrypted by the data collection module. The data acquisition module also decrypts the encrypted data and inputs it into the intelligent analysis module.

7. An electrolytic hydrogen production operation and maintenance method, characterized in that: Applied to the electrolysis hydrogen production operation and maintenance system as claimed in any one of claims 1 to 6, the electrolysis hydrogen production operation and maintenance method comprises: Obtain the operating data of each electrolytic hydrogen production equipment; Inputting the operating data into the fault diagnosis model, so that the fault diagnosis model extracts a first feature related to fault diagnosis from the operating data and outputs fault data of the hydrogen production equipment by electrolysis according to the first feature; inputting the operating data into the performance optimization model, so that the performance optimization model extracts a second feature related to the performance of the hydrogen production equipment from the operating data and outputs optimized control data to the corresponding hydrogen production equipment by electrolysis according to the second feature, so as to trigger the hydrogen production equipment by electrolysis to operate according to the optimized control data; Among them, the fault diagnosis model is obtained by training the Transformer architecture through the first training sample, and the first training sample includes an operating data sample and a corresponding fault data sample; the performance optimization model is obtained by training the Transformer architecture through the second training sample, and the second training sample includes an operating data sample and a corresponding optimized control data sample; the performance optimization model is used to filter out the operating data with the best energy efficiency ratio of the electrolysis hydrogen production equipment from the operating data as the optimized control data.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and used to run on the processor, characterized in that: When the processor executes the computer program, the electrolysis hydrogen production operation and maintenance method according to claim 7 is implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the electrolysis hydrogen production operation and maintenance method according to claim 7 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the electrolysis hydrogen production operation and maintenance method according to claim 7 is implemented.

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