Hydrogen leakage positioning method, system and equipment for electricity-hydrogen coupling station and medium

Abstract

The invention discloses a hydrogen leakage positioning method, system and device for an electricity-hydrogen coupling station and a medium. The hydrogen leakage positioning method for the electricity-hydrogen coupling station comprises the following steps: analyzing a hydrogen leakage scene of the electricity-hydrogen coupling station, and determining a hydrogen leakage position and working condition; according to the hydrogen leakage position, the overall structure of the electricity-hydrogen coupling station and the real layout of the hydrogen-related area, geometric models of areas where different leakage positions of the electricity-hydrogen coupling station are located are established; performing three-dimensional grid division on the geometric model; hydrogen concentration data of a hydrogen concentration sensor monitoring point are obtained; building and training a leakage positioning model according to the data set; optimizing the sensor layout; and applying the optimized sensor layout and the trained leakage positioning model to an actual electro-hydrogen coupling station scene to realize hydrogen leakage monitoring and leakage positioning. Through the sensor layout optimized by an intelligent algorithm and an advanced machine learning algorithm, the accuracy and efficiency of hydrogen leakage positioning are greatly improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of hydrogen leakage detection, and relates to a method, system, device and medium for hydrogen leakage location in an electric-hydrogen coupling station. Background Art

[0002] As an important infrastructure for hydrogen energy utilization, the safety of an electric-hydrogen coupling station is directly related to the popularization and use of hydrogen energy. However, due to the flammable and explosive characteristics of hydrogen, once a leakage occurs in the electric-hydrogen coupling station, it may bring serious safety hazards. Therefore, how to quickly and accurately locate the hydrogen leakage position has become the key to ensuring the safe operation of the electric-hydrogen coupling station.

[0003] Currently, there are already various hydrogen leakage detection devices and methods on the market, but most of them have some limitations. Traditional leakage detection methods mainly rely on the arrangement of fixed sensors, and judge whether there is a leakage by detecting the change of hydrogen concentration. However, this method still needs to be improved in terms of detection sensitivity, positioning accuracy and response speed. In addition, the arrangement of fixed sensors often requires a large amount of installation and maintenance costs, and there may be monitoring blind spots in complex environments. Summary of the Invention

[0004] To solve the problems existing in the above-mentioned prior art, the present invention provides a method, system, device and medium for hydrogen leakage location in an electric-hydrogen coupling station, so as to greatly improve the accuracy and efficiency of hydrogen leakage detection, and reduce equipment costs and maintenance expenses.

[0005] For this reason, the present invention adopts the following technical solutions.

[0006] In a first aspect, the present invention provides a method for hydrogen leakage location in an electric-hydrogen coupling station, which includes: Analyze the hydrogen leakage scenarios in the electric-hydrogen coupling station to determine the location and working conditions of the hydrogen leakage; According to the location of the hydrogen leakage, the overall structure of the electric-hydrogen coupling station and the actual layout of the hydrogen-related areas, establish a geometric model of the areas where different leakage positions in the electric-hydrogen coupling station are located; Perform three-dimensional solid mesh division on the geometric models of the areas where different leakage positions in the electric-hydrogen coupling station are located respectively; Import the mesh division results into numerical simulation software to obtain the hydrogen concentration data of the hydrogen concentration sensor monitoring points at different leakage positions under the corresponding working conditions after the hydrogen leakage event occurs, and thus construct a data set; Build and train a leakage location model according to the data set; Optimize the sensor layout; Apply the optimized sensor layout and the trained leakage location model to the actual electric-hydrogen coupling station scenario to achieve hydrogen leakage monitoring and leakage location.

[0007] Furthermore, the analysis of the hydrogen leakage scenario in the electrolysis-hydrogen coupling station includes: obtaining the equipment parameters, operating conditions of the equipment, and environmental factors of the hydrogen system involved in the electrolysis-hydrogen coupling station.

[0008] Furthermore, when performing three-dimensional solid mesh division, set the number of meshes in the X / Y / Z three directions, and the mesh density at the hydrogen leakage position is higher than that at other positions to ensure the accuracy of numerical simulation and the effectiveness of calculation.

[0009] Furthermore, the obtaining of the hydrogen concentration data at the hydrogen concentration sensor monitoring points at different leakage positions under corresponding working conditions after the hydrogen leakage event occurs includes: Setting boundary conditions according to the hydrogen leakage working conditions; According to the physical properties of hydrogen and the structural characteristics of the electrolysis-hydrogen coupling station, initially set multiple potential hydrogen concentration sensor monitoring points; Input the boundary conditions into the numerical simulation software, use the numerical simulation software to simulate different hydrogen leakage accident scenarios, and record the hydrogen concentration data at each hydrogen concentration sensor monitoring point under different hydrogen leakage accident scenarios.

[0010] Even further, the working conditions of hydrogen leakage are the leakage orifice diameter and the leakage orifice mass flow rate.

[0011] Even further, the building and training of the leakage location model according to the data set includes: Collecting the hydrogen concentration data under different combinations of monitoring points, labeling each group of data with the corresponding leakage orifice position, and dividing the data set into a training data set and a test data set; Selecting a suitable machine learning model according to the data characteristics as the leakage location model; Using the training data set to train the leakage location model, and using the test data set to verify the generalization ability and accuracy of the leakage location model.

[0012] Furthermore, the optimization of the sensor layout includes: Optimizing different combinations of sensor layout situations. The optimization algorithm selects the particle swarm optimization algorithm. During the training process of the leakage location model, the particle swarm optimization algorithm runs in parallel. The input is the hydrogen concentration data of each sensor in different combinations, and the goal is the highest leakage location prediction accuracy rate and the shortest prediction time. Compare the prediction accuracy rates and prediction speeds of different combinations to determine a group of sensor layouts with the highest leakage location prediction accuracy rate and the shortest prediction time.

[0013] In a second aspect, the present invention provides an electrolysis-hydrogen coupling station hydrogen leakage location system, which includes: A leakage scenario analysis unit: used to analyze the hydrogen leakage scenario in the electrolysis-hydrogen coupling station and determine the position and working conditions of hydrogen leakage; Geometric model establishment unit: Establish a geometric model of the areas where different hydrogen leakage positions are located in the electric-hydrogen coupling station according to the hydrogen leakage position, the overall structure of the electric-hydrogen coupling station, and the actual layout of the hydrogen-related areas; Mesh generation unit: Perform three-dimensional solid mesh generation on the geometric models of the areas where different hydrogen leakage positions are located in the electric-hydrogen coupling station respectively; Hydrogen concentration data acquisition unit: Used to import the mesh generation results into numerical simulation software, obtain the hydrogen concentration data at the monitoring points of hydrogen concentration sensors at different leakage positions under corresponding working conditions after the hydrogen leakage event occurs, and thus construct a data set; Leakage location model construction unit: Build and train a leakage location model according to the data set; Sensor layout optimization unit: Used to optimize the sensor layout; Application unit: Apply the optimized sensor layout and the trained leakage location model to the actual electric-hydrogen coupling station scenario to achieve hydrogen leakage monitoring and leakage location.

[0014] In a third aspect, the present invention provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the steps of the above method are implemented.

[0015] In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above method are implemented.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. Through the sensor layout optimized by intelligent algorithms and advanced machine learning algorithms, the accuracy and efficiency of hydrogen leakage location prediction are greatly improved; 2. By optimizing the number of sensors, the equipment cost and maintenance cost are reduced, while maintaining high detection performance; 3. The present invention can be continuously optimized according to actual data and adapt to different operating conditions and environmental changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required in the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts: Figure 1 It is a schematic flowchart of a method for hydrogen leakage location in an electric-hydrogen coupling station of the present invention; Figure 2It is the geometric model diagram of the electric-hydrogen coupling station in Embodiment 1 of the present invention; Figure 3 It is the grid division diagram of the electric-hydrogen coupling station in Embodiment 1 of the present invention; Figure 4 It is the flow schematic diagram of the sensor layout optimization scheme of the present invention; Figure 5 It is the leakage location evaluation index diagram of the electric-hydrogen coupling station in Embodiment 1 of the present invention; Figure 6 It is the leakage location confusion matrix diagram of the electric-hydrogen coupling station in Embodiment 1 of the present invention; Figure 7 It is the composition diagram of a hydrogen leakage location system for an electric-hydrogen coupling station of the present invention; Figure 8 It is a schematic diagram of a logical structure of an electronic device provided in the specific implementation manner of the present invention. Specific implementation manner

[0018] The present invention will be further described below in conjunction with the specification drawings and specific implementation manners.

[0019] Embodiment 1 This embodiment provides a method for locating hydrogen leakage in an electric-hydrogen coupling station. Taking the fuel cell room scenario of a certain skid-mounted electric-hydrogen coupling station as an example, the leakage location is achieved according to the following implementation technical solutions. The flow of the leakage location method is as Figure 1 shown, and the specific steps are as follows: S1. Obtain the equipment parameters, operating conditions of the equipment, and environmental factors of the hydrogen-related systems in the electric-hydrogen coupling station to determine the location and working conditions of hydrogen leakage.

[0020] The hydrogen-related systems refer to hydrogen production systems, hydrogen storage systems, hydrogen utilization systems, and other hydrogen-related systems. The equipment parameters are operating parameters such as the stagnation pressure of hydrogen, the operating conditions of the equipment are start or stop, and the environmental factor is wind speed. For the fuel cell room of this skid-mounted electric-hydrogen coupling station, it is determined that there are 5 leakage ports where hydrogen leakage occurs, all located at the connection between the fuel cell and the hydrogen pipeline. And according to the aperture and stagnation pressure at the connection, the leakage working conditions of hydrogen are determined, that is, the leakage port diameter and the leakage port mass flow rate.

[0021] S2. According to the location of hydrogen leakage, the overall structure of the electric-hydrogen coupling station, and the actual layout of the hydrogen-related areas, establish geometric models of the areas where different leakage positions in the electric-hydrogen coupling station are located, that is, multiple geometric models, with one leakage position corresponding to one geometric model.

[0022] The size of the fuel cell room of this skid-mounted electric-hydrogen coupling station is 5.0m×2.5m×3.0m, including two fuel cells. There are louvers and rolling doors on both sides of the box body, and obstacles are arranged inside the box body. The geometric model is as Figure 2 shown.

[0023] S3. Perform three-dimensional solid mesh generation for the geometric models of the regions where different leakage positions of the electro-hydrogen coupling station are located respectively.

[0024] Perform three-dimensional solid mesh generation for the geometric models of the regions where different leakage positions of the established electro-hydrogen coupling station are located respectively. Set the number of meshes in the X / Y / Z three directions. The O-block method is used for mesh generation and encryption treatment at the leakage opening, and the far-field meshes are appropriately sparse, with a reasonable transition of mesh density, ensuring the accuracy of the model and the effectiveness of the calculation. The mesh generation situation is as Figure 3 shown.

[0025] S4. Import the mesh generation results into numerical simulation software to obtain the hydrogen concentration data at the monitoring points of hydrogen concentration sensors at different leakage positions under corresponding working conditions after the hydrogen leakage event occurs, and thus construct a data set.

[0026] S41. Set the boundary conditions according to the hydrogen leakage working conditions, that is, the diameter of the hydrogen leakage opening and the mass flow rate at the leakage opening. S42. According to the physical properties of hydrogen and the structural characteristics of the electro-hydrogen coupling station, initially set multiple potential monitoring points for hydrogen concentration sensors. S43. Use numerical simulation software to simulate the leakage accident scenarios at different leakage positions, and record the hydrogen concentration data at each monitoring point under different leakage accident scenarios.

[0027] S5. Build and train a leakage localization model based on the data set.

[0028] S51. Collect the hydrogen concentration data under different sensor combinations, label each group of data with the corresponding leakage opening position, and divide the sorted data set into a training data set and a test data set to provide a data basis for subsequent model training and performance evaluation. S52. Select a suitable machine learning model as the leakage localization model according to the data characteristics (such as deep neural network, support vector machine or decision tree, etc.). In this embodiment, a multi-layer feedforward neural network is selected. S53. After building the leakage localization model, use the training data set to train the model. Adopt four evaluation indexes: accuracy, precision, recall rate and F1 value. Use the test data set to verify the generalization ability and accuracy of the leakage localization model. Finally, apply the trained model to the test set to further verify its localization performance on unknown data.

[0029] S6. Optimize the sensor layout.

[0030] Optimize the sensor layout for different combinations of sensor layouts. The optimization algorithm uses the particle swarm optimization algorithm. During the training process of the leakage location model, the particle swarm optimization algorithm runs in parallel. The input is the hydrogen concentration data of each sensor for different combinations, and the goal is the highest leakage location prediction accuracy and the shortest prediction time. Compare the prediction accuracies and prediction speeds of different combinations to determine a set of sensor layouts with the highest leakage location prediction accuracy and the fastest prediction speed (i.e., the shortest prediction time).

[0031] The optimization process of the sensor layout scheme is as Figure 4 shown. Finally, the leakage location situation of the built leakage location model (machine learning model) under the optimal sensor layout scheme is as Figure 5 and Figure 6 shown. The leakage location prediction accuracy under this optimal sensor layout is the highest and the prediction time is the shortest. Among them Figure 5 are the precision, recall, and F1 values of five leakage ports. The value ranges of the three evaluation indicators are 0 - 1. The closer to 1, the better the prediction effect. It can be seen from this figure that the three evaluation indicators are all close to 1 at each leakage location, indicating that a good prediction effect has been achieved. Figure 6 is the confusion matrix. The abscissa is the predicted leakage location number, and the ordinate represents the true leakage location number. The value in the color block indicates the number of true data predicted as this class. The higher the proportion of the value in the diagonal color block, the higher the prediction accuracy. It can be seen that the proportion of the value on the diagonal of this figure is relatively high, indicating that the built machine learning model has achieved a good leakage location effect under the optimal sensor layout scheme.

[0032] When applying the optimized sensor layout and the trained leakage location model to the actual electro - hydrogen coupling station scenario, use the hydrogen concentration data collected by each sensor under the sensor layout as the input to the leakage location model to predict the corresponding leakage location.

[0033] Embodiment 2 This embodiment provides an electro - hydrogen coupling station hydrogen leakage location system, as Figure 7 shown. It consists of a leakage scenario analysis unit, a geometric model establishment unit, a grid division unit, a hydrogen concentration data acquisition unit, a leakage location model construction unit, a sensor layout optimization unit, and an application unit.

[0034] The described leakage scenario analysis unit: is used to analyze the hydrogen leakage scenario of the electro - hydrogen coupling station and determine the location and working conditions of hydrogen leakage.

[0035] The described geometric model establishment unit: According to the location of hydrogen leakage, the overall structure of the electro - hydrogen coupling station, and the actual layout of the hydrogen - involved area, establish a geometric model of the area where different leakage locations in the electro - hydrogen coupling station are located.

[0036] The described grid division unit: Perform three-dimensional solid grid division on the geometric models of the regions where different leakage positions of the electro-hydrogen coupling station are located respectively.

[0037] The described hydrogen concentration data acquisition unit: Import the grid division results into numerical simulation software, and obtain the hydrogen concentration data at the monitoring points of hydrogen concentration sensors at different leakage positions under corresponding working conditions after a hydrogen leakage event, thereby constructing a data set.

[0038] The described leakage location model construction unit: Build and train a leakage location model according to the data set.

[0039] The described sensor layout optimization unit: Optimize the sensor layout.

[0040] The described application unit: Apply the optimized sensor layout and the trained leakage location model to the actual electro-hydrogen coupling station scenario to achieve hydrogen leakage monitoring and leakage location.

[0041] Specifically, in the described leakage scenario analysis unit, analyzing the hydrogen leakage scenario of the electro-hydrogen coupling station includes: obtaining the equipment parameters, operating conditions of the equipment, and environmental factors of the hydrogen-related systems in the electro-hydrogen coupling station.

[0042] Specifically, in the described grid division unit, when performing three-dimensional solid grid division, set the number of grids in the X / Y / Z three directions, and the grid density at the hydrogen leakage position is higher than that at other positions.

[0043] Specifically, in the described hydrogen concentration data acquisition unit, obtaining the hydrogen concentration data at the monitoring points of hydrogen concentration sensors at different leakage positions under corresponding working conditions after a hydrogen leakage event includes: Set boundary conditions according to the hydrogen leakage working conditions; Based on the physical properties of hydrogen and the structural characteristics of the electro-hydrogen coupling station, preliminarily set multiple potential monitoring points for hydrogen concentration sensors; Input the boundary conditions into the numerical simulation software, use the numerical simulation software to simulate the hydrogen leakage accident scenarios at different leakage positions, and record the hydrogen concentration data at each hydrogen concentration sensor monitoring point under different hydrogen leakage accident scenarios.

[0044] More specifically, the working conditions of hydrogen leakage are the leakage orifice diameter and the mass flow rate at the leakage orifice.

[0045] Specifically, in the described leakage location model construction unit, building and training a leakage location model according to the data set includes: Collect the hydrogen concentration data under different combinations of monitoring points, label each group of data with the corresponding leakage orifice position, and divide the data set into a training data set and a test data set; Select a suitable machine learning model according to the data characteristics as the leakage location model; Use the training data set to train the leakage location model, and use the test data set to verify the generalization ability and accuracy of the leakage location model.

[0046] More specifically, in the sensor layout optimization unit, optimizing the sensor layout includes: Optimize different combinations of sensor layout situations. The optimization algorithm selects the particle swarm optimization algorithm. During the training process of the leakage location model, the particle swarm optimization algorithm runs in parallel. The input is the hydrogen concentration data of each sensor in different combinations, and the goal is the highest leakage location prediction accuracy and the shortest prediction time. Compare the prediction accuracies and prediction speeds of different combinations to determine a set of sensor layouts with the highest leakage location prediction accuracy and the shortest prediction time.

[0047] It should be noted that each unit in the above hydrogen leakage location system of the electric-hydrogen coupling station can be implemented in whole or in part by software, hardware, and their combinations. The above units can be embedded in the processor of the electronic device in hardware form or independent of it, or stored in the memory of the electronic device in software form, so that the processor can call and execute the operations corresponding to the above units. For the specific limitations of a hydrogen leakage location system of an electric-hydrogen coupling station, refer to the limitations of a hydrogen leakage location method of an electric-hydrogen coupling station (i.e., Embodiment 1) in the above text. The two have the same functions and effects, and will not be elaborated here.

[0048] Embodiment 3 This embodiment provides an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor. The memory stores a computer program that can be executed by the at least one processor, and when the computer program is executed by the at least one processor, it is used to cause the electronic device to execute the method according to Embodiment 1 of the present invention.

[0049] Embodiment 4 This embodiment provides a non-transitory computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor of a computer, it is used to cause the computer to execute the method according to Embodiment 1 of the present invention.

[0050] Reference Figure 8Now, the structural block diagram of the electronic device 400 that can be used as the server or client of the present invention will be described. It is an example of a hardware device that can be applied to various aspects of the present invention. The electronic device is intended to represent various forms of digital electronic computer devices, such as, laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as, personal digital processors, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are only examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0051] As Figure 8 shown, the electronic device 400 includes a computing unit 401, which can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 402 or the computer program loaded from the storage unit 408 into the random access memory (RAM) 403. In the RAM 403, various programs and data required for the operation of the electronic device 400 can also be stored. The computing unit 401, the ROM 402, and the RAM 403 are connected to each other through a bus 404. The input / output (I / O) interface 405 is also connected to the bus 404.

[0052] A plurality of components in the electronic device 400 are connected to the I / O interface 405, including: an input unit 406, an output unit 407, a storage unit 408, and a communication unit 409. The input unit 406 can be any type of device that can input information into the electronic device 400. The input unit 406 can receive input digital or character information, and generate key signal inputs related to the user settings and / or function controls of the electronic device. The output unit 407 can be any type of device that can present information, and can include but is not limited to a display, a speaker, a video / audio output terminal, a vibrator, and / or a printer. The storage unit 408 can include but is not limited to a magnetic disk, an optical disk. The communication unit 409 allows the electronic device 400 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks, and can include but is not limited to a modem, a network card, an infrared communication device, a wireless communication transceiver, and / or a chipset, such as a Bluetooth™ device, a WiFi device, a WiMax device, a cellular communication device, and / or the like.

[0053] The computing unit 401 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 401 executes the various methods and processes described above. For example, in some embodiments, the hydrogen leakage localization method of the aforementioned electro-hydrogen coupling station can be implemented as a computer software program, which is tangibly incorporated in a machine-readable medium, such as the storage unit 408. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 400 via the ROM 402 and / or the communication unit 409. In some embodiments, the computing unit 401 can be configured to execute the aforementioned hydrogen leakage localization method of the electro-hydrogen coupling station in any other suitable manner (e.g., by means of firmware).

[0054] The program code for implementing the method of the present invention can be written in any combination of one or more programming languages. These program codes can be provided to the processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing devices, such that when the program codes are executed by the processor or controller, the functions / operations specified in the flowchart and / or block diagram are implemented. The program code can be executed entirely on the machine, partially on the machine, as an independent software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0055] In the context of the present invention, a machine-readable medium can be a tangible medium that can contain or store a program for use by or in connection with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0056] As used in this invention, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and / or device (e.g., magnetic disks, optical disks, memory, programmable logic device (PLD)) used to provide machine instructions and / or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and / or data to a programmable processor.

[0057] For providing interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the computer. Other kinds of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0058] The systems and techniques described herein can be implemented in a computing system including backend components (e.g., as a data server), or a computing system including middleware components (e.g., an application server), or a computing system including frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system including any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0059] A computer system can include a client and a server. The client and the server are generally remote from each other and typically interact through a communication network. The relationship between the client and the server is generated by computer programs running on the respective computers and having a client-server relationship with each other.

[0060] Those skilled in the art can obviously make various modifications to the above embodiments easily and apply the general principles described herein to other embodiments without creative efforts. Therefore, the present invention is not limited to the above embodiments, and any improvements and modifications made by those skilled in the art to the present invention according to the disclosure of the present invention should be within the protection scope of the present invention.

Claims

1. A method for locating hydrogen leakage in an electric-hydrogen coupling station, characterized in that, Including: Analyze the hydrogen leakage scenarios of the electro-hydrogen coupling station to determine the location and working conditions of hydrogen leakage; Based on the location of hydrogen leakage, the overall structure of the electro-hydrogen coupling station, and the actual layout of the hydrogen-related areas, establish geometric models of the areas where different leakage positions are located in the electro-hydrogen coupling station; Perform three-dimensional solid mesh division on the geometric models of the areas where different leakage positions are located in the electro-hydrogen coupling station respectively; Import the mesh division results into numerical simulation software to obtain the hydrogen concentration data at the monitoring points of hydrogen concentration sensors at different leakage positions under corresponding working conditions after the occurrence of hydrogen leakage events, and thus construct a data set; Build and train a leakage location model based on the data set; Optimize the sensor layout; Apply the optimized sensor layout and the trained leakage location model to the actual electro-hydrogen coupling station scenario to achieve hydrogen leakage monitoring and leakage location.

2. The hydrogen leakage positioning method of an electric-hydrogen coupling station according to claim 1, wherein The analysis of the hydrogen leakage scenario of the electro-hydrogen coupling station includes: obtaining the equipment parameters of the hydrogen-related systems in the electro-hydrogen coupling station, the operating conditions of the equipment, and environmental factors.

3. A hydrogen leakage localization method for an electric-hydrogen coupling station according to claim 1, characterized in that, When performing three-dimensional solid mesh division, set the number of meshes in the X / Y / Z three directions, and the mesh density at the hydrogen leakage position is higher than that at other positions.

4. A method for locating hydrogen leakage in an electric-hydrogen coupling station according to claim 1, characterized in that, The obtaining of the hydrogen concentration data at the monitoring points of hydrogen concentration sensors at different leakage positions under corresponding working conditions after the occurrence of hydrogen leakage events includes: Set boundary conditions according to the hydrogen leakage working conditions; Based on the physical properties of hydrogen and the structural characteristics of the electro-hydrogen coupling station, initially set multiple potential hydrogen concentration sensor monitoring points; Input the boundary conditions into the numerical simulation software, use the numerical simulation software to simulate the hydrogen leakage accident scenarios at different leakage positions, and record the hydrogen concentration data at each hydrogen concentration sensor monitoring point under different hydrogen leakage accident scenarios.

5. A method for locating hydrogen leakage in an electric-hydrogen coupling station according to claim 4, characterized in that The working conditions of hydrogen leakage are the leakage orifice diameter and the mass flow rate of the leakage orifice.

6. A hydrogen leakage localization method for an electric-hydrogen coupling station according to claim 4, characterized in that, The building and training of the leakage location model based on the data set includes: Collect the hydrogen concentration data under different combinations of monitoring points, label each group of data with the corresponding leakage orifice position, and divide the data set into a training data set and a test data set; Select a suitable machine learning model according to the data characteristics as the leakage location model; Use the training data set to train the leakage location model, and use the test data set to verify the generalization ability and accuracy of the leakage location model.

7. A hydrogen leakage localization method for an electric-hydrogen coupling station according to claim 6, characterized in that, The optimization of the sensor layout includes: Optimize different combinations of sensor layout situations. The optimization algorithm selects the particle swarm optimization algorithm. During the training process of the leakage location model, the particle swarm optimization algorithm runs in parallel. The input is the hydrogen concentration data of each sensor in different combinations, and the goal is the highest leakage location prediction accuracy and the shortest prediction time. Compare the prediction accuracy and prediction speed of different combinations to determine a group of sensor layouts with the highest leakage location prediction accuracy and the shortest prediction time.

8. A hydrogen leakage positioning system for an electric-hydrogen coupling station, characterized in that, Including: Leakage scenario analysis unit: used to analyze the hydrogen leakage scenario of the electro-hydrogen coupling station to determine the location and working conditions of hydrogen leakage; Geometric model establishment unit: based on the location of hydrogen leakage, the overall structure of the electro-hydrogen coupling station, and the actual layout of the hydrogen-related areas, establish geometric models of the areas where different leakage positions are located in the electro-hydrogen coupling station; Mesh division unit: Perform three-dimensional solid mesh division on the geometric models of the regions where different leakage positions of the electro-hydrogen coupling station are located respectively; Hydrogen concentration data acquisition unit: Used to import the mesh division results into numerical simulation software, obtain the hydrogen concentration data at the monitoring points of hydrogen concentration sensors at different leakage positions under corresponding working conditions after the hydrogen leakage event occurs, and thus construct a data set; Leakage location model construction unit: Build and train a leakage location model according to the data set; Sensor layout optimization unit: Used to optimize the sensor layout; Application unit: Apply the optimized sensor layout and the trained leakage location model to the actual electro-hydrogen coupling station scenario to achieve hydrogen leakage monitoring and leakage location.

9. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method described in any one of claims 1 to 7.

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