Power grid global resource plug-in type visual data processing method

Abstract

The invention relates to a power grid global resource plug-in type visual data processing method, and relates to the field of power grid global resource visualization. The method comprises the following steps: acquiring power grid resource data, wherein the power grid resource data is power grid operation associated data classified based on resource types; determining a visual resource image type corresponding to the power grid resource data, wherein a visual resource image comprises data basic visual information corresponding to the power grid resource data; and generating power grid resource visual data based on the power grid resource data and the visual resource image type. According to the scheme, power grid resource information is presented in a multi-dimensional mode, business integrated management is achieved, multi-dimensional auxiliary management is achieved, and panoramic display of different levels of a power grid is achieved.

Description

Technical Field

[0001] The present application relates to the field of visualization of global resources of a power grid, and in particular to a plug-in visualization data processing method for global resources of a power grid. Background Art

[0002] Grid visualization is a hot topic in current research. As the construction of new power systems is accelerated, the structure, mechanism, and ecosystem of the power industry are undergoing profound changes.

[0003] In the related technologies, the traditional single power map can no longer meet the application requirements. In the power industry, the traditional map resource element publishing usually parses the data file in a specific standard format and stores it in the power grid GIS data center, and publishes and displays it through the power grid Geographic Information System (GIS) feature layer.

[0004] However, in the related art, there is no integrated content display system and corresponding supporting display method for publishing and displaying visualization content based on GIS feature layers. Summary of the invention

[0005] The present application is about a plug-in visualization data processing method for global resources of a power grid, which can provide visualization data of power grid resources in the global scope. The method is applied in a computer device, and the method includes: Obtaining power grid resource data, which is power grid operation-related data classified based on resource types; Determine a visualization resource image type corresponding to the power grid resource data, wherein the visualization resource image includes data-based visualization information corresponding to the power grid resource data; Based on the power grid resource data and the visualization resource image type, the power grid resource visualization data is generated.

[0006] In an optional embodiment, the power grid resource data includes at least one of power grid resource data, power grid asset data, power grid topology data, and visualized resource image data.

[0007] In an optional embodiment, determining the type of visualization resource image corresponding to the power grid resource data further includes: Based on the power grid resource data, a static grid framework of power grid data corresponding to the range of the power grid resource data is constructed; The type of visualized resource image corresponding to the power grid resource data is determined based on the static grid structure of the power grid data.

[0008] In an optional embodiment, acquiring power grid data includes: Determine the resource data type of the power grid resource data, the resource data type includes dynamic type and static type; In response to the resource data type of the power grid resource data being a static type, determining a data acquisition interval corresponding to the power grid resource data; Update power grid resource data according to data acquisition interval, In response to the resource data type of the power grid resource data being dynamic, generating a resource data interface corresponding to the power grid resource data; Obtain power grid resource data from the resource data interface.

[0009] In an optional embodiment, the method further comprises: Standardize and convert power grid resource data and perform data verification processing.

[0010] In an optional embodiment, the resource data interface is implemented as at least one of a meteorological center interface, a measurement center interface, a resource business platform interface, and a map interface.

[0011] In an optional embodiment, determining the type of visualization resource image corresponding to the power grid resource data includes: Based on the data type of the power grid resource data, determine the power grid data resource layer corresponding to the power grid resource data, the power grid data resource layer being a superimposable layer; The type of the visualization resource image is determined based on the resource layer of the power grid resource data, and the visualization resource image indicated by the visualization resource image type includes at least one layer.

[0012] In an optional embodiment, generating power grid resource visualization data based on power grid resource data and visualization resource image type includes: Bind the power grid resource data to the corresponding power grid data resource layer; Based on the power grid data resource layer after binding the power grid resource data, power grid resource visualization data is generated.

[0013] In an optional embodiment, after generating the power grid resource visualization data based on the power grid resource data and the visualization resource image type, the following steps are included: Publish power grid resource visualization data through the power grid resource visualization data publishing interface.

[0014] The beneficial effects of the technical solution provided by this application include at least: (1) Enable multi-dimensional presentation of power grid resource information, integrated business management, and multi-dimensional auxiliary management to achieve a panoramic display of different levels of the power grid; (2) Meet specific business needs such as power grid lines, regulation equipment, load characteristics, flow trends, and power grid planning, improve work efficiency, and enable the digital twin system to support power grid management more accurately, comprehensively, and intelligently. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0016] Figure 1 A flow chart of a method for processing plug-in visualization data of global resources of a power grid provided by an exemplary embodiment of the present application is shown.

[0017] Figure 2 A flow chart of another method for processing plug-in visualization data of global resources of a power grid provided by an exemplary embodiment of the present application is shown. DETAILED DESCRIPTION

[0018] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.

[0019] Figure 1 A flow chart of a method for processing global grid resource plug-in visualization data provided by an exemplary embodiment of the present application is shown. The method is described by taking the application of the method in a computer device as an example. The method includes: Step 101, obtaining power grid resource data.

[0020] In the embodiment of the present application, the power grid resource data is power grid operation-related data classified based on resource type. Under the power grid architecture, power grid-related asset equipment will generate power grid resource data during power grid production work, and the power grid resource data can characterize the environmental conditions and working status of the power grid during operation. In one example, the power grid resource data is data related to equipment management, or the power grid resource data is data related to power grid development planning, or the power grid resource data is data related to customer marketing, or the power grid resource data is data related to safety monitoring of power grid infrastructure equipment. Step 102: Determine the type of visualized resource image corresponding to the power grid resource data.

[0021] In an embodiment of the present application, the visualization resource image includes data-based visualization information corresponding to the power grid resource data. Corresponding to the specific contents of different visualization resource images, the visualization resource images need to be classified. Optionally, the types of visualization resource images include meteorological types, equipment status types, resource configuration types, etc. The present application does not limit the specific types of visualization resource images.

[0022] Step 103: Generate power grid resource visualization data based on the power grid resource data and the visualization resource image type.

[0023] In an embodiment of the present application, the power grid resource visualization data is used to enable a computer device to output corresponding visualization information. Optionally, the power grid resource visualization data is implemented as power grid content. Optionally, the power grid resource visualization data will be displayed on a display screen image.

[0024] Figure 2 Another method for processing global grid resource plug-in visualization data provided by an exemplary embodiment of the present application is shown. The method is described by taking the method applied in a computer device as an example. The method includes: Step 201: Determine the resource data type of power grid resource data.

[0025] In the embodiment of the present application, the resource data type includes dynamic type and static type. When the resource data type is dynamic type, the data will be updated in real time during the final visualization data realization process. When the resource data type is static type, the data will remain unchanged within a preset time period during the final visualization data realization process, or only change at a preset time.

[0026] In an embodiment of the present application, the power grid resource data includes at least one of power grid resource data, power grid asset data, power grid topology data, and visualized resource image data.

[0027] Step 202: In response to the resource data type of the power grid resource data being a static type, determine a data acquisition interval corresponding to the power grid resource data.

[0028] In the embodiment of the present application, static data can be obtained from a database interface, or static data is data received periodically by a computer device.

[0029] Step 203: Update the power grid resource data according to the data acquisition interval.

[0030] In this case, the grid resource data is updated according to a preset time interval.

[0031] Step 204 : in response to the resource data type of the power grid resource data being dynamic, generating a resource data interface corresponding to the power grid resource data.

[0032] In the embodiment of the present application, the dynamic data communicates data in response to the setting of the data interface. Optionally, the resource structure comes from different power grid resource business platforms and data platforms.

[0033] Step 205: Acquire power grid resource data from the resource data interface.

[0034] Step 206: Perform standardization conversion and data verification processing on the power grid resource data.

[0035] Optionally, the process is a conventional processing and conversion process for power grid resource data.

[0036] Step 207: determining a power grid data resource layer corresponding to the power grid resource data based on the data type of the power grid resource data.

[0037] In the embodiment of the present application, the power grid data resource layer is a superimposable layer.

[0038] Step 208: Determine the type of visualized resource image based on the power grid resource data resource layer.

[0039] In the embodiment of the present application, the visual resource image indicated by the visual resource image type includes at least one layer.

[0040] In the embodiment of the present application, a layered and hierarchical plug-in processing mechanism is adopted to realize the flexible superposition of layers such as power grid structure, real-time measurement, meteorological environment, and business information, and publish more than 100 standard interfaces / components such as layer rendering, positioning, and display, and superimpose the Siji map service to support the rapid construction of business application graphics.

[0041] Step 209, binding the power grid resource data to the corresponding power grid data resource layer.

[0042] In an embodiment of the present application, the data to be superimposed is bound to the layer data, and the defined layer data is published so that other business applications can reference it.

[0043] Step 210, generating power grid resource visualization data based on the power grid data resource layer after binding the power grid resource data.

[0044] Step 211, publishing the power grid resource visualization data through the power grid resource visualization data publishing interface.

[0045] Optionally, the visualization data of power grid resources will be published through the corresponding application program interface. Finally, combined with the resources, assets, topology, graphics and other services of the power grid resource business platform, a static grid of all voltage levels is constructed to support the panoramic display, map switching, layer overlay and other functions of static power grid layout and power grid thematic maps (system map, ring network map, single line map, etc.), so as to achieve smooth browsing of static one network and multi-form graphics display.

[0046] To sum up, the method provided in the embodiment of the present application enables multi-dimensional and stereoscopic presentation of power grid resource information, integrated business management, and multi-dimensional auxiliary management, thereby realizing a panoramic display of different levels of the power grid; at the same time, it meets the specific business needs of power grid lines, regulation equipment, load properties, flow trends, power grid planning, etc., improves work efficiency, and allows the digital twin system to more accurately, comprehensively, and intelligently support the management of the power grid.

[0047] The embodiment of the present application has a wide range of application scenarios. Optionally, it can realize the deep integration of power grid with meteorological, environmental and other multi-source data. For example, it can access the display of environmental meteorological data such as weather forecast, abnormal weather warning, typhoon path, lightning distribution, etc., realize typhoon warning, lightning analysis and other applications, and predict the impact of abnormal weather on equipment and users: and complete the display of eight types of thematic maps such as wind zone, bird nest, bird droppings, wildfire, pollution zone, dancing, ice zone, ground lightning, etc., to provide accurate judgment for the formulation of inspection and maintenance plans.

[0048] In the embodiment of the present application, a layered and hierarchical plug-in processing mechanism is adopted to realize the flexible superposition of layers such as power grid framework, real-time measurement, meteorological environment, and business information, and publish more than 100 standard interfaces / components such as layer rendering, positioning, and display. The Siji map service is superimposed to support the rapid construction of business application graphics, greatly reducing the threshold for application development.

[0049] The above are only optional embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A plug-in visualization data processing method for global resources of a power grid, characterized in that: The method is applied in a computer device, and the method comprises: Acquire power grid resource data, wherein the power grid resource data is power grid operation related data classified based on resource types; Determining a visualization resource image type corresponding to the power grid resource data, wherein the visualization resource image includes data-based visualization information corresponding to the power grid resource data; Based on the power grid resource data and the visualized resource image type, power grid resource visualization data is generated.

2. The method according to claim 1, characterized in that The power grid resource data includes at least one of power grid resource data, power grid asset data, power grid topology data and visualized resource image data.

3. The method according to claim 2, characterized in that The determining of the type of visualization resource image corresponding to the power grid resource data further includes: Based on the power grid resource data, constructing a power grid data static grid framework corresponding to the range of the power grid resource data; A visualization resource image type corresponding to the power grid resource data is determined based on the power grid data static grid.

4. The method according to claim 3, characterized in that The obtaining of power grid data comprises: Determine a resource data type of the power grid resource data, wherein the resource data type includes a dynamic type and a static type; In response to the resource data type of the power grid resource data being a static type, determining a data acquisition interval corresponding to the power grid resource data; updating the power grid resource data according to the data acquisition interval, In response to the resource data type of the power grid resource data being dynamic, generating a resource data interface corresponding to the power grid resource data; The power grid resource data is acquired from the resource data interface.

5. The method according to claim 4, characterized in that The method further comprises: The power grid resource data is subjected to standardized conversion and data verification processing.

6. The method according to claim 4, characterized in that The resource data interface is implemented as at least one of a meteorological center interface, a measurement center interface, a resource business platform interface, and a map interface.

7. The method according to claim 4, characterized in that The determining of the type of visualization resource image corresponding to the power grid resource data comprises: Based on the data type of the power grid resource data, determining a power grid data resource layer corresponding to the power grid resource data, wherein the power grid data resource layer is a superimposable layer; The visual resource image type is determined based on the power grid resource data resource layer, and the visual resource image indicated by the visual resource image type includes at least one layer.

8. The method according to claim 6, characterized in that The generating of power grid resource visualization data based on the power grid resource data and the visualization resource image type includes: Binding the power grid resource data corresponding to the power grid data resource layer; The power grid resource visualization data is generated based on the power grid data resource layer after binding the power grid resource data.

9. The method according to claim 7, characterized in that: After generating the power grid resource visualization data based on the power grid resource data and the visualization resource image type, the method includes: The power grid resource visualization data is published through the power grid resource visualization data publishing interface.

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