Power grid equipment disaster damage analysis method and system based on remote sensing data

Abstract

The invention relates to a power grid equipment disaster damage analysis method and system based on remote sensing data. The method comprises the following steps: constructing a spatial index of power grid equipment data based on geographic coordinates of power grid equipment; remote sensing interpretation result data are obtained and analyzed, and polygonal remote sensing interpretation result data including the disaster influence range are obtained; constructing a spatial index of polygon remote sensing interpretation result data; performing disaster damage analysis on the spatial index of the power grid equipment data and the spatial index of the polygon remote sensing interpretation result data by utilizing a GIS spatial overlay analysis technology to obtain an analysis result which comprises disaster-affected power grid equipment in a disaster influence range and corresponding attribute information; and carrying out visual display on the analysis result.

Description

Technical Field

[0001] This invention relates to the field of power grid equipment disaster loss analysis technology, and mainly to a power grid equipment disaster loss analysis method and system based on remote sensing data. Background Technology

[0002] Currently, the industry has the technical capability to construct spatial models of disaster impact ranges based on remote sensing image data. It can accurately delineate the core areas, buffer zones, and outer areas of natural disasters such as wildfires, floods, and typhoons by combining auxiliary data such as topography and meteorology.

[0003] In existing technologies, specialized geographic information software is typically used to conduct fusion analysis of multi-source heterogeneous remote sensing data and power grid equipment data. Specifically, the disaster area vector layer and power grid equipment vector layer obtained from remote sensing interpretation are imported separately, disaster damage correlation analysis is performed using software, and the analysis results are then exported and imported into the power grid business system to help determine the condition of power grid equipment (such as poles, transformers, etc.) within the disaster impact range.

[0004] However, existing technologies suffer from the following problems: First, low data fusion and analysis efficiency. Existing technologies lack efficient preprocessing mechanisms for massive amounts of power grid equipment data, requiring temporary data matching and analysis after a disaster, making it difficult to quickly respond to disaster damage assessment needs. Second, lack of direct fusion and analysis capabilities. Existing processes rely on specialized geographic information software as an intermediary to process remote sensing data and power grid equipment data separately, failing to achieve direct fusion and analysis of the two types of data. Data needs to be repeatedly imported and exported between the software and the power business system, which is cumbersome and prone to data loss or deviation. Third, insufficient spatial index support. Existing technologies lack dedicated spatial indexes for power grid equipment data and remote sensing interpretation results. When facing spatial matching and correlation queries of massive amounts of data, computational efficiency is low, making it difficult to meet the actual needs of quickly and accurately identifying damaged equipment after a disaster. Summary of the Invention

[0005] To address the problems existing in the prior art, this invention proposes a method and system for analyzing power grid equipment damage based on remote sensing data.

[0006] The technical solution of the present invention is as follows: On the one hand, this invention proposes a method for disaster damage analysis of power grid equipment based on remote sensing data, the method comprising: Construct a spatial index for power grid equipment data based on the geographic coordinates of the equipment. Acquire and parse remote sensing interpretation data to obtain polygonal remote sensing interpretation data including the disaster impact range; construct a spatial index for the polygonal remote sensing interpretation data. Using GIS spatial overlay analysis technology, the spatial index of power grid equipment data and the spatial index of polygon remote sensing interpretation results data are used to conduct disaster damage analysis, and the analysis results are obtained, including the affected power grid equipment within the disaster impact range and the corresponding attribute information. The analysis results are visualized.

[0007] Preferably, the remote sensing interpretation result data comes from vector data generated after extracting disaster information from satellite remote sensing images, and its format includes shp, geojson or kml format.

[0008] Preferably, the remote sensing interpretation results data are acquired and analyzed, and the specific steps are as follows: Satellite remote sensing technology was used to analyze the remote sensing interpretation data to identify and delineate multiple disaster-stricken areas; Each disaster-stricken area corresponds to a polygonal remote sensing interpretation result data.

[0009] Preferably, the spatial index of the polygon remote sensing interpretation result data is constructed, and the specific steps are as follows: The polygon remote sensing interpretation results are stored in a relational database that supports spatial indexing. A spatial index is created for the polygon remote sensing interpretation results data in the relational database.

[0010] Preferably, disaster loss analysis is performed using GIS spatial overlay analysis technology, which combines the spatial index of power grid equipment data and the spatial index of polygon remote sensing interpretation results data. The specific steps are as follows: Match and analyze the geographic coordinates of power grid equipment with polygon remote sensing interpretation results; Determine whether the current power grid equipment is located within the polygon remote sensing interpretation result data based on distance analysis or topological relationships; If the current power grid equipment is located within the polygon remote sensing interpretation result data, then the current power grid equipment is recorded and its attribute information is associated.

[0011] Preferably, the attribute information includes: device type, device ID, management unit, installation address, latitude and longitude coordinates, operating status, and historical maintenance records.

[0012] Preferably, the visualization includes: The disaster-affected area, the damaged power grid equipment, and the specific location of the damaged power grid equipment are displayed in the same map view; Provide a list of affected power grid equipment and display the disaster areas of different impact levels and the status of the corresponding affected power grid equipment on a map.

[0013] On the other hand, the present invention also provides a power grid equipment disaster damage analysis system based on remote sensing data, the system comprising: The spatial index building module constructs a spatial index for power grid equipment data based on the geographical coordinates of the power grid equipment. Acquire and parse remote sensing interpretation data to obtain polygonal remote sensing interpretation data including the disaster impact range; construct a spatial index for the polygonal remote sensing interpretation data. The disaster analysis module uses GIS spatial overlay analysis technology to perform disaster damage analysis by combining the spatial index of power grid equipment data and the spatial index of polygon remote sensing interpretation results data. The analysis results include the affected power grid equipment within the disaster impact range and its corresponding attribute information. The visualization module displays the analysis results in a visual format.

[0014] In another aspect, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method described in the present invention.

[0015] In another aspect, the present invention also provides a computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the method described in the present invention.

[0016] The present invention has the following beneficial effects: 1. This invention provides a method and system for power grid equipment disaster damage analysis based on remote sensing data. Based on the principle of spatial index construction, it utilizes the rapid positioning characteristics of spatial index to construct a spatial index for power grid equipment data in advance. Simultaneously, it stores the polygonal data generated by remote sensing interpretation in a relational database that supports spatial index and constructs a spatial index for it. This solves the query latency problem when matching massive amounts of power grid equipment data with disaster area data, improves the computational efficiency of disaster damage analysis, enhances the emergency response speed after a disaster, and strengthens the system processing capabilities in massive data scenarios. 2. This invention provides a method and system for power grid equipment disaster damage analysis based on remote sensing data. It adopts a dual algorithm of topological relationship judgment and distance analysis, and uses GIS spatial overlay technology to accurately match the coordinates of power grid equipment with disaster polygon data. At the same time, it associates with the equipment attribute database, which solves the problems of fuzzy identification of disaster-affected equipment and incomplete attribute association in traditional analysis. This improves the identification accuracy of disaster-affected power grid equipment, enhances the reliability of disaster damage assessment results, and strengthens the comprehensiveness of disaster damage analysis. 3. This invention provides a method and system for analyzing power grid equipment damage based on remote sensing data, which displays the disaster-affected area, power grid equipment structure, and location of damaged equipment in the same view; at the same time, it links the list of damaged equipment, improving the efficiency of emergency decision-making and enhancing the accuracy of resource scheduling. Attached Figure Description

[0017] Figure 1 This is a detailed flowchart of an embodiment of the present invention. Detailed Implementation

[0018] 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. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] It should be understood that the step numbers used in the text are for ease of description only and are not intended to limit the order in which the steps are performed.

[0020] It should be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0021] The terms “comprising” and “including” indicate the presence of the described feature, whole, step, operation, element and / or component, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0022] The term “and / or” refers to any combination of one or more of the associated listed items, as well as all possible combinations, and includes these combinations.

[0023] Example 1: See Figure 1 This invention provides a method for power grid equipment disaster damage analysis based on remote sensing data, the method comprising: S1. Construct a spatial index for power grid equipment data based on the geographic coordinates of the power grid equipment; The power grid equipment data includes poles, transformers, etc. S2. Acquire and analyze the remote sensing interpretation results data to obtain polygonal remote sensing interpretation results data including the disaster impact range; S21. The remote sensing interpretation result data comes from vector data generated after extracting disaster information from satellite remote sensing images, and its format includes shp, geojson or kml format. S22. Utilize satellite remote sensing technology to analyze the remote sensing interpretation results data, identify and delineate multiple disaster-stricken areas; Each disaster-stricken area corresponds to a polygonal remote sensing interpretation result data; S3. Construct a spatial index for the polygon remote sensing interpretation results data; The polygon remote sensing interpretation results are stored in a relational database that supports spatial indexing. A spatial index is established in the relational database for the polygon remote sensing interpretation results data; In this embodiment, the database is a PostgreSQL database, and spatial data storage and indexing functions are implemented through a PostGIS plugin; S4. Using GIS spatial overlay analysis technology, the spatial index of power grid equipment data and the spatial index of polygon remote sensing interpretation results data are used to conduct disaster damage analysis, and the analysis results are obtained, including the affected power grid equipment within the disaster impact range and the corresponding attribute information. S41. Perform matching analysis between the geographic coordinates of the power grid equipment and the polygon remote sensing interpretation results data; The determination of whether current power grid equipment is located within the polygon remote sensing interpretation data is based on distance analysis or topological relationships, where: Topological relationship determination: Use the containment relation function of the spatial database to directly determine whether the geographic coordinates of the current power grid equipment are within the area of ​​the polygon remote sensing interpretation result data; for example, use the ST_Contains function of the PostGIS plugin; Distance analysis and judgment: Calculate the shortest distance from the geographic coordinates of the power grid equipment to the boundary of the polygon remote sensing interpretation result data; for example, use the ST_Distanc function of the PostGIS plugin to calculate the shortest distance; if the shortest distance is 0 or negative, it is determined that the current power grid equipment is located within the polygon remote sensing interpretation result data; If the current power grid equipment is located within the polygon remote sensing interpretation result data, then record the current power grid equipment and associate its attribute information; S42. The attribute information includes: device type, device ID, management unit, installation address, latitude and longitude coordinates, operating status, and historical maintenance records; S5. Visualize the analysis results; The disaster-affected area, the damaged power grid equipment, and the specific location of the damaged power grid equipment are displayed in the same map view; Provide a list of affected power grid equipment and display the disaster areas and corresponding affected power grid equipment status on a map, with different impact levels including core areas, buffer areas, and outer areas; the disaster core areas are marked in red, buffer areas in yellow, and outer areas in blue. S6. The method further includes: updating the remote sensing interpretation results data in real time after the disaster occurs, and triggering the spatial index update and disaster damage analysis process.

[0024] Example 2: This embodiment provides a power grid equipment disaster damage analysis system based on remote sensing data, the system comprising: The spatial index building module constructs a spatial index for power grid equipment data based on the geographical coordinates of the power grid equipment. Acquire and parse remote sensing interpretation data to obtain polygonal remote sensing interpretation data including the disaster impact range; construct a spatial index for the polygonal remote sensing interpretation data. The disaster analysis module uses GIS spatial overlay analysis technology to perform disaster damage analysis by combining the spatial index of power grid equipment data and the spatial index of polygon remote sensing interpretation results data. The analysis results include the affected power grid equipment within the disaster impact range and its corresponding attribute information. The visualization module displays the analysis results in a visual format.

[0025] Example 3: This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements a power grid equipment disaster damage analysis method based on remote sensing data as described in any one of Embodiment 1.

[0026] Example 4: This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements a power grid equipment disaster analysis method based on remote sensing data as described in any one of Embodiment 1.

[0027] In this application embodiment, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent the existence of A alone, A and B simultaneously, or B alone. A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one of a, b, and c can represent: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, and c can be single or multiple.

[0028] Those skilled in the art will recognize that the units and algorithm steps described in the embodiments disclosed herein can be implemented using electronic hardware, computer software, or a combination of electronic hardware and software. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0029] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0030] In the several embodiments provided in this application, any function, if implemented as a software functional unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0031] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for analyzing power grid equipment damage based on remote sensing data, characterized in that, The method includes: Construct a spatial index for power grid equipment data based on the geographic coordinates of the equipment. Acquire and parse remote sensing interpretation data to obtain polygonal remote sensing interpretation data including the disaster impact range; construct a spatial index for the polygonal remote sensing interpretation data. Using GIS spatial overlay analysis technology, the spatial index of power grid equipment data and the spatial index of polygon remote sensing interpretation results data are used to conduct disaster damage analysis, and the analysis results are obtained, including the affected power grid equipment within the disaster impact range and the corresponding attribute information; The analysis results are visualized.

2. The method for power grid equipment disaster damage analysis based on remote sensing data according to claim 1, characterized in that, The remote sensing interpretation results data are derived from vector data generated after extracting disaster information from satellite remote sensing images, and the format includes shp, geojson or kml.

3. The method for power grid equipment disaster damage analysis based on remote sensing data according to claim 1, characterized in that, The specific steps for acquiring and parsing remote sensing interpretation data are as follows: Satellite remote sensing technology was used to analyze the remote sensing interpretation data to identify and delineate multiple disaster-stricken areas; Each disaster-stricken area corresponds to a polygonal remote sensing interpretation result data.

4. The method for power grid equipment disaster damage analysis based on remote sensing data according to claim 1, characterized in that, The specific steps for constructing a spatial index for polygon remote sensing interpretation data are as follows: The polygon remote sensing interpretation results are stored in a relational database that supports spatial indexing. A spatial index is created for the polygon remote sensing interpretation results data in the relational database.

5. The method for power grid equipment disaster damage analysis based on remote sensing data according to claim 1, characterized in that, The spatial index of power grid equipment data and the spatial index of polygon remote sensing interpretation results data are used to perform disaster loss analysis using GIS spatial overlay analysis technology. The specific steps are as follows: Match and analyze the geographic coordinates of power grid equipment with polygon remote sensing interpretation results; Determine whether the current power grid equipment is located within the polygon remote sensing interpretation result data based on distance analysis or topological relationships; If the current power grid equipment is located within the polygon remote sensing interpretation result data, then record the current power grid equipment and associate its attribute information.

6. The method for power grid equipment disaster damage analysis based on remote sensing data according to claim 1, characterized in that, The attribute information includes: device type, device ID, management unit, installation address, latitude and longitude coordinates, operating status, and historical maintenance records.

7. The method for power grid equipment disaster damage analysis based on remote sensing data according to claim 1, characterized in that, The visualization includes: The disaster-affected area, the damaged power grid equipment, and the specific location of the damaged power grid equipment are displayed in the same map view; Provide a list of affected power grid equipment and display the disaster areas of different impact levels and the status of the corresponding affected power grid equipment on a map.

8. A power grid equipment disaster damage analysis system based on remote sensing data, characterized in that, The system includes: The spatial index building module constructs a spatial index for power grid equipment data based on the geographical coordinates of the power grid equipment. Acquire and parse remote sensing interpretation data to obtain polygonal remote sensing interpretation data including the disaster impact range; construct a spatial index for the polygonal remote sensing interpretation data. The disaster analysis module uses GIS spatial overlay analysis technology to perform disaster damage analysis by combining the spatial index of power grid equipment data and the spatial index of polygon remote sensing interpretation results data. The analysis results include the affected power grid equipment within the disaster impact range and its corresponding attribute information. The visualization module displays the analysis results in a visual format.

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

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