Method and system for managing integrity data of hydrogen refueling station

Abstract

The invention discloses a hydrogen refueling station integrity data management method and system, and belongs to the technical field of hydrogen energy infrastructure safety management, and the method comprises the following steps: (1) constructing a three-level grid system; (2) defining grid attributes; (3) implementing integrity data gridding integration; (4) establishing a cross-grid collaborative management mechanism; and (5) optimizing resource collaborative scheduling based on the grid data. The system comprises a hardware architecture and a software system. The hardware architecture comprises a sensing layer deployed in each grid, a cross-grid transmission layer and a distributed storage layer; the software system comprises a grid management module, a data integration module, a collaborative analysis module, a visualization module and a decision support module. According to the method, association integration of multi-source data is realized through space grid division, a cross-professional cooperation mechanism is established, the data utilization efficiency and the integrity management and control level are improved, and the problems of fragmentation, poor collaboration and weak space association of existing hydrogen refueling station integrity data management are solved.

Description

Technical Field

[0001] This invention belongs to the field of hydrogen energy infrastructure safety management technology, specifically relating to a method and system for managing the integrity data of hydrogen refueling stations. Background Technology

[0002] Hydrogen refueling stations, as key facilities for hydrogen storage, compression, and dispensing, rely on the efficient integration and collaborative analysis of multi-dimensional data, including equipment status, process parameters, and environmental conditions, for their integrity management. Existing technologies have the following significant limitations: 1. Fragmented data management: The "individual equipment - data silo" model is adopted, with data from equipment such as hydrogen storage systems, compressor units, and hydrogen refueling machines being stored in separate systems. This lacks spatial correlation, and the response time for cross-regional data retrieval exceeds 30 seconds, making it impossible to support overall risk assessment.

[0003] 2. Lack of collaboration mechanism: The data standards of various professional modules (equipment management, process control, safety monitoring) are not uniform, and collaborative analysis requires manual format conversion, resulting in a data utilization rate of less than 40% and low efficiency of cross-professional decision-making.

[0004] 3. Weak spatial correlation: The mapping relationship between data and physical space has not been established, making it difficult to locate the spatial transmission path of "specific area - related equipment - risk source". For example, the correlation analysis between the leakage risk of hydrogen storage area and surrounding pipelines takes more than 2 hours.

[0005] 4. Insufficient dynamic adjustment capability: After the hydrogen refueling station is upgraded and expanded, the data management boundary cannot automatically adapt to spatial changes and needs to be manually reconfigured, with an adaptation cycle of up to 72 hours, which cannot meet the dynamic operation requirements.

[0006] 5. Poor resource scheduling coordination: Resource scheduling for maintenance, inspection, etc., is disconnected from data management, making it impossible to optimize resource allocation based on real-time data of the grid area, resulting in low operation and maintenance efficiency and a resource idle rate of over 30%. Summary of the Invention

[0007] This invention aims to address the problems of fragmented, poorly coordinated, and weakly spatially correlated data management in existing hydrogen refueling station systems. It provides a method and system for managing hydrogen refueling station integrity data, which achieves the correlation and integration of multi-source data through spatial grid division, establishes a cross-professional collaborative mechanism, and improves data utilization efficiency and integrity control level.

[0008] The technical solution adopted in this invention is as follows: A method for managing the integrity data of a hydrogen refueling station includes the following steps: (1) Construct a three-level grid system: divide the first-level grid according to functional zones, divide the second-level grid according to equipment clusters within the first-level grid, and divide the third-level grid according to individual equipment. Each grid is assigned a unique code. (2) Define grid attributes: Each grid level includes spatial attributes, equipment attributes, risk attributes, and data attributes, and spatial visualization is achieved through the GIS system; (3) Implement complete data grid integration: Store equipment data, process data, environmental data and management data in a grid hierarchy, and establish a two-way index between the grid and the data; introduce a dynamic adaptation mechanism to deal with spatial changes in hydrogen refueling stations, and adjust grid boundaries and migrate data; (4) Establish a cross-grid collaborative management mechanism: Construct a data collaborative analysis model to realize horizontal data collaboration between secondary grids and data penetration between different levels of grids, establish collaborative interfaces for equipment data, process data, safety data, and operation and maintenance data, and realize data mutual recognition based on grid coding; (5) Optimize resource collaborative scheduling based on grid data.

[0009] Furthermore, in step (1), the functional partitions of the primary grid include a hydrogen storage zone, a compression zone, a refueling zone, and an auxiliary zone.

[0010] Furthermore, in step (3), the equipment data is associated with the third-level grid with a sampling frequency of 1-10Hz; the process data is associated with the second-level grid with a sampling frequency of 0.1-1Hz; the environmental data covers the first-level grid with a sampling frequency of 0.01-0.1Hz; the management data is associated with the grid at all levels; the spatial mapping between data and grid is realized through the coordinate anchoring method, and a bidirectional index between grid and data is established.

[0011] Furthermore, the coordinate anchoring method specifically involves setting 3-5 spatial anchor points for each third-level grid, and associating them with the corresponding grid during data acquisition.

[0012] Furthermore, a dynamic adaptation mechanism is introduced to address spatial changes at hydrogen refueling stations. Specifically, when the renovation or expansion of a hydrogen refueling station leads to spatial changes, new or removed areas are identified, the boundaries of the first and second-level grids are adjusted, the correspondence between the third-level grid and the equipment is maintained, and after the grid adjustment, the relevant data is migrated and updated accordingly.

[0013] Furthermore, in step (4), the horizontal data collaboration between secondary grids specifically involves: establishing process association rules between secondary grids to achieve cross-regional data verification; Specifically, data penetration between different grid levels supports drilling down from the first-level grid to the third-level grid or aggregating data from the third-level grid to the first-level grid, enabling hierarchical analysis of grid areas, equipment clusters, and equipment.

[0014] Further, step (5) specifically involves: dynamically allocating computing resources to process corresponding data based on grid data heat and risk level, optimizing the inspection route based on equipment status data within the grid, and matching the best maintenance team.

[0015] A hydrogen refueling station integrity data management system, including hardware architecture and software system; The hardware architecture includes a perception layer deployed in each grid, a cross-grid transmission layer, and a distributed storage layer; The software system includes a grid management module, a data integration module, a collaborative analysis module, a visualization module, and a decision support module.

[0016] Furthermore, the sensing layer includes vibration, temperature, pressure, hydrogen concentration sensors and a high-definition camera, and is deployed at different densities according to a grid hierarchy.

[0017] Furthermore, the collaborative analysis module is used to construct a three-dimensional correlation model of spatial location-time series-data type to realize the correlation analysis of data between grids; the decision support module is used to generate risk warnings, maintenance suggestions and resource scheduling schemes based on grid data.

[0018] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. Improved data integration efficiency: The three-level grid system greatly enhances the correlation between multi-source data and significantly shortens the response time for cross-regional data retrieval.

[0019] 2. Optimized spatial correlation analysis capabilities: Based on the "grid-data" spatial mapping, the time for locating risk sources is significantly shortened.

[0020] 3. Improved dynamic adaptability: The grid dynamic adjustment time is short, meeting the rapid adaptation needs of hydrogen refueling station renovation and expansion.

[0021] 4. Improved operational efficiency: Resource collaborative scheduling reduces the ineffective working hours of operation and maintenance personnel, improves equipment availability, and significantly reduces the annual operating cost of hydrogen refueling stations. Attached Figure Description

[0022] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort, wherein: Figure 1 is a schematic diagram of the three-level grid system of the present invention; Figure 2 is a logic diagram of cross-grid collaborative analysis according to the present invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0024] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0025] It should be noted that the labels and letters in the following figures represent similar items, therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0026] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product of this invention is in use. They are only used for the purpose of simplifying the description of this invention and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention. In addition, the terms "first," "second," and "third," etc., are only used to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0027] Furthermore, terms such as "horizontal" and "vertical" do not imply that components must be absolutely horizontal or suspended, but rather that they can be slightly tilted. For example, "horizontal" simply means that its direction is more horizontal than "vertical," and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0028] In the description of this invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal communication between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0029] Refer to the instruction manual. Figure 1-2 , A method for managing the integrity data of a hydrogen refueling station includes the following steps: 1. Spatial grid division method for hydrogen refueling stations (1) Construction of a three-level grid system Primary grid (regional grid): Divided by functional zones, including four primary grids: hydrogen storage zone, compression zone, refueling zone, and auxiliary zone. Each grid uses a unique code (e.g., R-01 to R-04). Secondary grid (equipment cluster grid): Within the primary grid, it is divided according to equipment clusters. For example, the hydrogen storage area includes high-pressure hydrogen storage tank cluster (R-01-01), low-pressure hydrogen storage tank cluster (R-01-02), etc., for a total of 12 secondary grids. Level 3 grid (individual grid): Each device or key point is used as the smallest grid unit, such as a single hydrogen storage tank (R-01-01-01), hydrogen dispenser (R-03-01-01), etc., for a total of 86 level 3 grids.

[0030] (2) Mesh attribute definition Each grid contains four core attributes: spatial attributes (boundary coordinates, area, height), equipment attributes (including equipment list and relationships), risk attributes (basic risk values ​​and historical events), and data attributes (collection point type and transmission frequency). Spatial visualization is achieved through a GIS system.

[0031] 2. Mechanism for Integrity Data Grid Integration (1) Multi-source data access standard Equipment data: 18 types of parameters including vibration, temperature, and pressure, stored in association according to a three-level grid code, with a sampling frequency of 1-10Hz; Process data: 12 types of parameters including hydrogen flow rate, purity, and compression ratio, correlated with a secondary grid, with a sampling frequency of 0.1-1Hz; Environmental data includes 8 types of parameters such as hydrogen concentration, temperature and humidity, and open flame monitoring, covering the first-level grid, with a sampling frequency of 0.01-0.1Hz; Data management includes six types of data such as inspection records, maintenance work orders, and spare parts inventory, which are linked to the entire grid and updated as needed.

[0032] (2) Data space mapping method The "coordinate anchoring method" is adopted: 3-5 spatial anchor points (GPS / BeiDou coordinates) are set for each third-level grid, and the data is automatically associated with the corresponding grid during data collection; Establish a bidirectional index of "grid-data": all data in the area can be accessed through grid coding, and the grid and spatial location can be retrieved through data identification.

[0033] (3) Dynamic adaptation mechanism Grid boundary adjustment: When the expansion or renovation of a hydrogen refueling station leads to spatial changes, the system automatically identifies the newly added / removed areas, adjusts the boundaries of the first and second level grids, and maintains the correspondence between the third level grid and the equipment; Data migration rules: After grid adjustment, the relevant data will be automatically migrated and updated, with an adaptation time of ≤30 minutes.

[0034] 3. Cross-grid collaborative management methods (1) Data Collaborative Analysis Model Horizontal collaboration: Establish association rules between secondary grids (such as pressure matching rules between the compression zone and the hydrogen storage zone) to achieve cross-regional collaborative verification of process data; Vertical penetration: Supports drilling down from the first-level grid to the third-level grid, or aggregating data from the third-level grid to the first-level grid, to achieve hierarchical analysis of "region-cluster-device"; Multi-dimensional correlation: Construct a three-dimensional correlation model of "spatial location - time series - data type", such as analyzing the correlation between "pressure anomaly in area R-01 in the past 24 hours and changes in injection volume in area R-03".

[0035] (2) Professional collaboration mechanism Establish collaborative interfaces for four major professional modules: equipment, process, safety, and operation and maintenance. Data mutual recognition is achieved based on grid coding, and the format conversion time is reduced from 2 hours to 5 seconds. Collaborative decision-making process: When abnormal data occurs in a certain grid (such as the hydrogen concentration in area R-01-01 exceeds the standard), cross-disciplinary data calls (equipment status, process parameters, historical maintenance records) are automatically triggered to generate a collaborative analysis report.

[0036] (3) Resource Coordination Scheduling Based on the popularity and risk level of grid data, computing resources are dynamically allocated (e.g., high-risk grid data is processed first). Link inspection and maintenance resources: Optimize inspection routes based on equipment status data within the grid (reducing unnecessary walking by 30%) and match the most suitable maintenance team (skill matching degree ≥90%).

[0037] A hydrogen refueling station integrity data management system, including (1) Hardware architecture Sensing layer: Sensor network (vibration, temperature, hydrogen concentration, etc.), high-definition cameras, and RFID tags deployed in each grid; Transport layer: Industrial Ethernet + LoRa is used within the mesh, and 5G private network is used across meshes, supporting local computing at edge nodes; Storage layer: Distributed database, storing data by grid partition. Hot data (high-risk grid) uses in-memory database, with a response time of ≤10ms.

[0038] (2) Software system Grid management module: Enables grid generation, attribute maintenance, and boundary adjustment; Data integration module: multi-source data access, cleaning, and spatial mapping; Collaborative Analysis Module: Cross-grid data association, professional collaborative analysis, trend prediction; Visualization module: 3D GIS grid map, supporting data overlay and dynamic display; Decision support module: Generates risk warnings, maintenance suggestions, and resource scheduling plans based on grid data.

[0039] Example 1. Implementation of Grid Generation A hydrogen refueling station is divided into three levels of grids according to this invention: Primary grid: Hydrogen storage zone (R-01), compression zone (R-02), refueling zone (R-03), auxiliary zone (R-04); Secondary grid: R-01 includes high-pressure hydrogen storage tank cluster (R-01-01), low-pressure hydrogen storage tank cluster (R-01-02), and pipeline connection area (R-01-03). Level 3 grid: R-01-01 contains 3 hydrogen storage tanks (R-01-01-01 to R-01-01-03), each equipped with pressure, temperature and hydrogen concentration sensors.

[0040] 2. Data integration implementation (1) Grid data access: The pressure (0.1Hz) and temperature (1Hz) data of the R-01-01-01 hydrogen storage tank are correlated to the level 3 grid; The ambient hydrogen concentration (0.01Hz), temperature, and humidity data of the hydrogen storage area (R-01) are correlated to the first-level grid; The hydrogen transport flow rate (0.1 Hz) from the compression zone to the hydrogen storage zone is associated with the co-grid of R-02-01 and R-01-03.

[0041] (2) Spatial mapping: Automatic data attribution is achieved through RFID tags (including grid code R-01-01-01) on hydrogen storage tanks; The system's GIS interface displays real-time data for each grid. Clicking R-01-01-01 allows you to view all historical and real-time data for that hydrogen storage tank.

[0042] 3. Implementation of cross-grid collaborative analysis When the hydrogen concentration in area R-01-01 exceeds the standard (150 ppm): Horizontal collaboration: Automatically retrieves environmental data from the primary grid (R-01) to which R-01-01 belongs, and pipeline data from the associated secondary grid (R-01-03); Longitudinal penetration: Drilling from the R-01 area down to the R-01-01-02 hydrogen storage tank revealed a minor leak in its safety valve; Professional collaboration: Synchronously access safety valve maintenance records from the equipment module, recent pressure fluctuation data from the process module, and emergency response plans from the safety module; Conclusion: It is recommended to immediately repair the safety valve of hydrogen storage tank R-01-01-02, and at the same time adjust the output pressure of the R-02 compression zone.

[0043] 4. Implementation of resource collaborative scheduling The system is based on grid data: The R-01 area was identified as a high-risk grid, and computing resources were prioritized to process its data. Optimize inspection routes: sort by grid risk level (R-01~R-02~R-03) to reduce round trip distance by 400 meters; Matching maintenance resources: Based on the equipment model R-01-01-02, recommend teams with similar maintenance experience (skill matching rate 95%).

[0044] The above description constitutes an embodiment of the present invention. The foregoing descriptions are preferred embodiments of the present invention. Unless there is a clear contradiction or a prerequisite for a particular preferred embodiment, the preferred embodiments can be arbitrarily combined and used. The embodiments and specific parameters described are merely for clearly illustrating the verification process of the invention and are not intended to limit the scope of patent protection of the present invention. The scope of patent protection of the present invention is still determined by its claims. Similarly, any equivalent structural changes made based on the description and drawings of the present invention should also be included within the scope of protection of the present invention.

Claims

1. A method for managing integrity data of a hydrogen station, characterized by, The method comprises the following steps: (1) constructing a three-level grid system: dividing a first-level grid according to functional division, dividing a second-level grid according to equipment clusters in the first-level grid, dividing a third-level grid according to single equipment, and assigning a unique code to each grid; (2) defining grid attributes: each level of grid comprises spatial attributes, equipment attributes, risk attributes and data attributes, and spatial visualization is realized through a GIS system; (3) implementing complete data grid integration: storing equipment data, process data, environmental data and management data according to grid levels, establishing a two-way index of grid and data, and introducing a dynamic adaptation mechanism to cope with spatial changes of hydrogen refueling stations, adjust grid boundaries and migrate data; (4) establishing a cross-grid collaborative management mechanism: constructing a data collaborative analysis model, realizing horizontal data collaboration between second-level grids, data penetration between different levels of grids, establishing a collaborative interface of equipment data, process data, safety data and operation and maintenance data, and realizing data mutual recognition based on grid codes; (5) optimizing resource collaborative scheduling based on grid data. 2) A hydrogen station integrity data management method according to claim 1, characterized in that, In the step (1), the functional division of the first-level grid comprises a hydrogen storage area, a compression area, a refueling area and an auxiliary area.

3. A method for managing integrity data of a hydrogen station according to claim 1, characterized in that, In the step (3), the equipment data is associated with the third-level grid, the sampling frequency is 1-10 Hz; the process data is associated with the second-level grid, the sampling frequency is 0.1-1 Hz; the environmental data covers the first-level grid, and the sampling frequency is 0.01-0.1 Hz; the management data is associated with all levels of grids; the spatial mapping of data and grid is realized through a coordinate anchoring method, and a two-way index of grid and data is established. The coordinate anchoring method specifically comprises: setting 3-5 spatial anchor points for each third-level grid, and associating the data to the corresponding grid during data collection.

4. A hydrogen station integrity data management method according to claim 3, characterized in that, The dynamic adaptation mechanism introduced to cope with spatial changes of hydrogen refueling stations specifically comprises: when spatial changes are caused by expansion and reconstruction of the hydrogen refueling station, identifying the added and removed areas, adjusting the boundaries of the first-level and second-level grids, maintaining the correspondence between the third-level grid and the equipment, and after the grid adjustment, migrating and updating the related data.

5. A method for managing integrity data of a hydrogen station according to claim 1, characterized in that, In the step (4), the horizontal data collaboration between the second-level grids specifically comprises: establishing process correlation rules between the second-level grids to realize cross-area data verification; 6. A method for managing integrity data of a hydrogen station according to claim 1, characterized in that, The data penetration between different levels of grids specifically comprises: supporting drilling from the first-level grid to the third-level grid or data aggregation from the third-level grid to the first-level grid, realizing hierarchical analysis of grid areas, equipment clusters and equipment. In the step (5), it specifically comprises: based on the grid data heat and risk level, dynamically allocating computing resources to process the corresponding data, optimizing the inspection route according to the equipment state data in the grid, and matching the best maintenance team.

7. A method for managing integrity data of a hydrogen station according to claim 1, characterized in that, The method comprises a hardware architecture and a software system.

8. A hydrogen station integrity data griding co-management system for implementing the method of any one of claims 1-7, characterized by, The hardware architecture comprises a perception layer, a cross-grid transmission layer and a distributed storage layer deployed in each grid. The software system comprises a grid management module, a data integration module, a collaborative analysis module, a visualization module and a decision support module. The perception layer comprises vibration, temperature, pressure and hydrogen concentration sensors and high-definition cameras, which are deployed at different densities according to the grid levels.

9. A hydrogen station integrity data management system according to claim 8, characterized in that, ​ 10. A hydrogen station integrity data management system according to claim 8, wherein, The synergic analysis module is used for constructing a three-dimensional correlation model about spatial position-time sequence-data type, and realizing correlation analysis of data between grids; and the decision support module is used for generating risk early warning, maintenance suggestion and resource scheduling scheme based on grid data.

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