Power transmission line terrain analysis method and equipment based on grid communication, and storage medium

Abstract

The invention relates to the technical field of power transmission line terrain analysis, in particular to a power transmission line terrain analysis method and device based on grid communication and a storage medium. The method comprises the following steps: firstly, acquiring digital elevation data of a power transmission line path area, and establishing a grid network by taking a certain point in the area as a rectangular corner point; taking any point in the grid as a starting point, setting a calculation radius, extracting terrain elevation data in the range, and calculating the maximum height difference with the starting point; and dividing the discrete network according to the height difference based on engineering technical and economic definition, and determining a terrain classification result of the initial grid. And iteratively calculating the terrain classification of each grid in the path region through a preset sampling step length, and communicating the grids of the same type. And according to a preset filtering area threshold value, filtering out grids of which the area is smaller than the threshold value, and obtaining a final terrain analysis result. According to the method, terrain analysis of the long-distance and large-span power transmission line can be realized, model selection errors caused by subjective judgment or low-precision data are avoided, and the design efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of terrain analysis of power transmission lines, and in particular to a method, device and storage medium for terrain analysis of power transmission lines based on grid interconnection. Background Art

[0002] Transmission line design is a complex system engineering project with large investment, long time consumption and high requirements. It includes path selection, tower positioning, electrical design, mechanical calculation, foundation design, tower design, hardware design, protection design, etc. Among them, transmission line path selection is the core of the entire transmission line design, and its result directly affects other subsequent design work, and has a great impact on line investment and comprehensive benefits.

[0003] In the traditional transmission line path selection process, designers select lines based on topographic maps and existing thematic data, such as meteorological conditions, planning areas, mining areas, existing power lines, and topographic conditions. The transmission line path design plan is based on designers' experience to analyze geographic information, draw it on the map, and make corrections through on-site surveys. However, high-voltage transmission lines often have long paths and complex and diverse geographic information in the areas they pass through. Manual design based on experience cannot take into account a large amount of spatial information of various types, and it is difficult to ensure the economy and scientificity of the design results. Therefore, due to the experience of each designer, different designers select different paths, and the final selected path may not be the best.

[0004] In the selection of transmission lines, altitude, topography, wind speed, ice area, high-span forest area, manpower transportation distance, cross-span, etc. will affect the project cost and thus affect the line selection. Among them, the calculation of manpower transportation distance is directly subject to the results of topography analysis. According to the definition of engineering technology, topography can be divided into: plains; hills; mountains; high mountains; steep mountains; swamps; river networks; deserts. Among them, plains, hills, mountains, high mountains, and steep mountains are divided according to the regional terrain undulation. The traditional method of topography division is to extract geomorphic information through geographic information data, which has poor quantification and low accuracy. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides a grid-connected transmission line terrain analysis method, comprising the following steps:

[0006] S1. Obtain the transmission line path area, obtain digital elevation data in the path area, and establish a grid network with a point in the area as a rectangular corner point;

[0007] S2. Taking any grid in the grid network as the starting calculation grid, taking the vertex of the starting calculation grid as the origin to determine the calculation radius, extracting the terrain elevation data within the radius, obtaining the elevation values ​​of each calculation grid in the path area, and traversing and calculating to obtain the difference between the maximum height value within the range and the starting calculation grid;

[0008] S3. Based on the definition of engineering technology, the discrete network is divided according to the difference in height values, and the terrain and geomorphology analysis is performed to determine the terrain classification result of the starting calculation grid;

[0009] S4. Iterate the calculation for each computational grid in the path area to obtain the terrain classification result of each computational grid in the path area, and connect the computational grids with the same terrain classification type to obtain connected grids with the same terrain classification;

[0010] S5. According to the preset path area filtering area threshold St, the grids whose areas are smaller than the threshold area in the connected grids are filtered to obtain the terrain analysis result.

[0011] Furthermore, in step S1, the transmission line path area is a rectangular area with a length of L and a width of D as a boundary.

[0012] Furthermore, the grid network is delineated according to a preset sampling step length K as the grid side length, thereby obtaining a grid network composed of a plurality of computational grids.

[0013] Furthermore, the calculation radius in step S2 is determined by taking the starting calculation grid vertex as the origin and taking an integer multiple of the preset sampling step length K as the length. The calculation radius length can be expressed as:

[0014] R = n × K, (n>0)

[0015] Where R is the calculation radius, K is the sampling step, and n is any integer multiple.

[0016] Furthermore, in step S2, the elevation value is the altitude of the center point of the calculation grid.

[0017] Furthermore, in step S3, the terrain is divided into flat points, hilly points, mountainous points, high mountain points and steep mountain points based on engineering technology, specifically:

[0018] Flat point: Take any calculation grid in the path area as the center, extract the elevation data of all calculation grids within a diameter of 1000m, and if the difference between the height values ​​of different calculation grids is ≤10m, the point is judged as a flat point;

[0019] Hilly point: With any calculation grid in the path area as the center, extract the elevation data of all calculation grids within a diameter of 1000m. If the difference between the height values ​​of different calculation grids is ≤50m, the point is judged to be a hilly point.

[0020] Hill point: Taking any calculation grid in the path area as the center, extract the elevation data of all calculation grids within a diameter of 250m. If the difference between the height values ​​of different calculation grids is 50 to 150 meters, the point is judged to be a hill point.

[0021] High mountain point: Take any calculation grid in the path area as the center, extract the elevation data of all calculation grids within a diameter of 250m, and if the difference between the height values ​​of different calculation grids is 150-250m, then the point is judged as a high mountain point;

[0022] Steep mountain point: With any calculation grid in the path area as the center, extract the elevation data of all calculation grids within a diameter of 250m. If the difference between the height values ​​of different calculation grids is >250m, the point is judged to be a steep mountain point.

[0023] The terrain category to which the maximum elevation difference of the starting calculation grid belongs is determined according to the engineering technical definition as the terrain category of the starting calculation grid.

[0024] Furthermore, in step S4, the terrain type of each computing unit is calculated progressively, the terrain determination of each computing unit in the path area is completed, and the computing unit grids with the same terrain are connected to obtain connected grids with the same terrain classification.

[0025] Furthermore, in step S5, the grid areas whose connected grid areas are smaller than the threshold area are merged into the terrain category of the surrounding area, and the grid areas whose areas are larger than the threshold area are retained in the original partition, thereby forming the final topographic calculation result of the research scope.

[0026] The present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the grid-connected power transmission line terrain analysis method described above are implemented.

[0027] The present invention also provides a storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the above-mentioned method for terrain analysis of power transmission lines based on grid interconnection are implemented.

[0028] The beneficial effects of the present invention are:

[0029] It can realize the topographic calculation and judgment of long-distance and large-span transmission lines, avoid line selection errors caused by subjective judgment or other images with poor accuracy, improve the work efficiency of line designers, and promote the development of digital transmission lines:

[0030] (1) Optimize the errors caused by long-distance line selection based solely on image information, and improve the accuracy and reliability of line terrain type determination;

[0031] (2) It provides reliable data support for the calculation of manpower transport distance for engineering and technical personnel. After obtaining the terrain category according to the algorithm of the present invention, the line construction cost is determined in combination with the manpower transport distance coefficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 , a flow chart of the grid-connected transmission line terrain analysis method of the present invention.

[0033] Figure 2 , a schematic diagram of grid calculation of a grid-connected transmission line terrain analysis method according to an embodiment of the present invention.

[0034] Figure 3 , a schematic diagram of interconnected grids with the same terrain classification according to an embodiment of the present invention.

[0035] Figure 4 , a schematic diagram of the merged grid interconnection area according to an embodiment of the present invention.

[0036] Figure 5 , a schematic diagram of the topography calculation results of an embodiment of the present invention.

[0037] Figure 6 , a schematic diagram of the internal structure of the computer device of the present invention.

[0038] Figure 7 , a schematic diagram of the storage medium of the present invention. DETAILED DESCRIPTION

[0039] In order to enable those skilled in the art to better understand the content of the present invention and make the purpose, technical solution and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with the embodiments and drawings. The illustrative embodiments of the present invention and their description are only used to explain the present invention and are not intended to further limit the present invention.

[0040] Embodiment 1:

[0041] like Figure 1 As shown, an embodiment of the present invention provides a method for terrain analysis of a power transmission line based on grid interconnection, which performs terrain analysis on a transmission line path with mountainous terrain as the main terrain, including the following steps:

[0042] S1. The transmission line path area is obtained as a rectangular area with a length of L = 40 km and a width of D = 20 km. This rectangular area is determined as the research range Ra in this embodiment, and the digital elevation data within the research range Ra is obtained. The area is gridded with a preset sampling step length of K = 50 m as the side length. The specific number of grids can be expressed as:

[0043]

[0044] Since the elevation data in the rectangular area is a plurality of discrete points, the elevation data of part of the rectangular area may be missing. Therefore, the elevation value of the center point of the grid can be estimated by interpolation. When the elevation data of the grid points is incomplete or unevenly distributed, the elevation values ​​of these grid points are estimated by interpolation to ensure the accuracy of the grid calculation.

[0045] S2. Determine the starting calculation grid G1 within the research range Ra, take the altitude of the center point of G1 as the elevation value H1 of G1, take the grid vertex of G1 as the center of the circle, and determine the calculation radius R according to the integer multiple of the sampling step length K = 50m, which can be expressed as:

[0046] R = n × K, (n = 5)

[0047] The calculated radius is 250m, and a circle C1 is drawn based on the determined calculated radius. Within the radius of C1, all grids within the radius are selected. Assuming there are n grids within the range, calculate the elevation Hi of each grid Gi, and find the maximum elevation difference H max , the calculation process is:

[0048]

[0049] H max =max(ΔH 1 ,ΔH 2 ,…,ΔH n )

[0050] Among them, H max is the maximum elevation difference, ΔH i is the elevation difference between each grid, i is the current calculation grid, and n is the total number of grids.

[0051] S3. Based on the definition of engineering technology, the discrete network is divided according to the difference in height values, and the terrain and geomorphology analysis is performed to determine the terrain classification result of the starting calculation grid.

[0052] Specifically, the terrain is divided into flat points, hilly points, mountainous points, high mountain points and steep mountain points. The classification standards are:

[0053] Flat point: Take any calculation grid in the rectangular area as the center, extract the elevation data of all calculation grids within a diameter of 1000m, if the difference between the height values ​​of different calculation grids is ≤10m, then the point is judged as a flat point;

[0054] Hilly point: Take any calculation grid in the rectangular area as the center, extract the elevation data of all calculation grids within a diameter of 1000m, and if the difference between the height values ​​of different calculation grids is ≤50m, the point is judged to be a hilly point;

[0055] Hill point: Take any calculation grid in the rectangular area as the center, extract the elevation data of all calculation grids within a diameter of 250m, and if the difference between the height values ​​of different calculation grids is 50 to 150 meters, then the point is judged as the hill point;

[0056] High mountain point: Take any calculation grid in the rectangular area as the center, extract the elevation data of all calculation grids within a diameter of 250m, if the difference between the height values ​​of different calculation grids is 150-250m, then the point is judged as a high mountain point;

[0057] Steep mountain point: With any calculation grid in the rectangular area as the center, extract the elevation data of all calculation grids within a diameter of 250m. If the difference between the height values ​​of different calculation grids is >250m, the point is judged to be a steep mountain point.

[0058] Determine the maximum elevation difference H of G1 according to the definition max The terrain category it belongs to, as the terrain category of G1.

[0059] When the center elevation of the starting grid G1 is 1200 meters, the maximum elevation difference H max When it is 120 meters, the grid is classified as a "hill point".

[0060] S4. Preset the sampling step length K = 50m, perform iterative calculations on each calculation grid Gi in the rectangular area, obtain the terrain classification results of each calculation grid in the rectangular area, and connect the calculation grids with the same terrain classification type to obtain connected grids with the same terrain classification to form terrain contour lines;

[0061] S5. Preset rectangular area filter area threshold St = 2000000m 2 , by merging the grids whose connected grid area is smaller than the threshold area into the terrain category of the surrounding grids, the merged grid connected area is obtained;

[0062] S6. The merged grid areas with an area larger than the threshold area retain the original partitions to form the final topographic calculation results of the research scope.

[0063] Embodiment 2:

[0064] According to the grid-connected power transmission line terrain analysis method described in Example 1, a topographic analysis is performed on a power transmission line path with mountains as the main terrain.

[0065] like Figure 3 As shown, according to the sampling step K = 50m, each calculation grid Gi in the rectangular area is iteratively calculated to obtain the terrain classification result of each calculation grid in the rectangular area, and the calculation grids with the same terrain classification type are connected to obtain connected grids with the same terrain classification to form terrain contour lines.

[0066] like Figure 4 As shown, set the rectangular area filter area threshold St = 2000000m 2 , by merging the grids whose connected grid area is smaller than the threshold area into the terrain category of the surrounding grids, the merged grid connected area is obtained.

[0067] like Figure 5 As shown, the merged grid areas with an area larger than the threshold area retain the original partitions to form the final topographic calculation results of the research scope.

[0068] In the attached Figure 3 , Attachment Figure 4 With attached Figure 5 In the figure, the green part represents the hilly terrain as described in Example 1, the yellow part represents the mountainous terrain as shown in Example 1, the red part represents the high mountain terrain as described in Example 1, and the purple part represents the steep mountain terrain as described in Example 1.

[0069] It should also be noted that the colors used in this embodiment only refer to the terrain analyzed in the current embodiment. Some terrains that do not appear in this embodiment can be defined according to specific application scenarios.

[0070] Further, as a preferred implementation scheme of this embodiment, a terminal device for a grid-connected power transmission line terrain analysis method is proposed, such as Figure 6 The terminal device 200 includes at least one memory 210, at least one processor 220, and a bus 230 connecting different platform systems.

[0071] The memory 210 may include a readable medium in the form of a volatile memory, such as a random access memory (RAM) 211 and / or a cache memory 212 , and may further include a read-only memory (ROM) 213 .

[0072] Among them, the memory 210 also stores a computer program, and the computer program can be executed by the processor 220, so that the processor 220 executes any of the above-mentioned grid-connected transmission line terrain analysis methods in the embodiments of the present application, and its specific implementation method is consistent with the implementation method and the technical effect achieved in the above-mentioned embodiments, and some contents are not repeated. The memory 210 can also include a program / utility 214 having a set (at least one) of program modules 215, such program modules include but are not limited to: an operating system, one or more application programs, other program modules, and program data, each of these examples or some combination may include the implementation of a network environment.

[0073] Accordingly, the processor 220 may execute the above-mentioned computer programs, and may execute the program / utility 214 .

[0074] Bus 230 may be a bus representing one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures.

[0075] The terminal device 200 may also communicate with one or more external devices 240 such as keyboards, pointing devices, Bluetooth devices, etc., and may also communicate with one or more devices that can interact with the terminal device 200, and / or communicate with any device (such as a router, a modem, etc.) that enables the terminal device 200 to communicate with one or more other computing devices. Such communication may be performed through an input / output (I / O) interface 250. In addition, the terminal device 200 may also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN) and / or a public network, such as the Internet) through a network adapter 260. The network adapter 260 may communicate with other modules of the terminal device 200 through a bus 230. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the terminal device 200, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms, etc.

[0076] Further, as a preferred implementation scheme of this embodiment, a computer-readable storage medium for a grid-connected power transmission line terrain analysis method is proposed, and the computer-readable storage medium stores instructions, and when the instructions are executed by the processor, any of the above-mentioned grid-connected power transmission line terrain analysis methods is implemented. The specific implementation method is consistent with the implementation method and the technical effect achieved in the above-mentioned embodiment, and some contents are not repeated here.

[0077] like Figure 7As shown, the program product 300 provided in this embodiment for implementing the above-mentioned grid-connected transmission line terrain analysis method can adopt a portable compact disk read-only memory (CD-ROM) and include program code, and can be run on a terminal device, such as a personal computer. However, the program product 300 of the present invention is not limited to this. In this document, the readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it. The program product 300 can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of readable storage media (non-exhaustive list) include: an electrical connection with one or more wires, a portable 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0078] Computer-readable storage media may include data signals propagated in baseband or as part of a carrier wave, wherein readable program codes are carried. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The readable storage medium may also be any readable medium other than the readable storage medium, which may send, propagate, or transmit a program used by or in combination with an instruction execution system, an apparatus, or a device. The program code contained on the readable storage medium may be transmitted with any appropriate medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the above. The program code for performing the operation of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., and also conventional procedural programming languages ​​such as "C" language or similar programming languages. The program code may be executed entirely on a user computing device, partially on a user device, as an independent software package, partially on a user computing device, partially on a remote computing device, or entirely on a remote computing device or server. Where a remote computing device is involved, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., through the Internet using an Internet service provider).

[0079] The present invention is explained from the viewpoints of purpose of use, efficiency, progress and novelty, and the practical progress it has is in line with the functional enhancement and use requirements emphasized by the Patent Law. The above description and drawings of this application are only preferred embodiments of this application, and are not intended to limit this application. Therefore, all structures, devices, features, etc. that are similar or identical to those of this application, that is, all equivalent replacements or modifications made in accordance with the scope of the patent application of this application, should fall within the scope of protection of the patent application of this application.

[0080] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A grid-connected transmission line terrain analysis method, characterized in that: The following steps are involved: S1. Obtain the transmission line path area, obtain digital elevation data in the path area, and establish a grid network with a point in the area as a rectangular corner point; S2. Taking any grid in the grid network as the starting calculation grid, taking the vertex of the starting calculation grid as the origin to determine the calculation radius, extracting the terrain elevation data within the radius, obtaining the elevation values ​​of each calculation grid in the path area, and traversing and calculating to obtain the difference between the maximum height value within the range and the starting calculation grid; S3. Based on the definition of engineering technology, the discrete network is divided according to the difference in height values, and the terrain and geomorphology analysis is performed to determine the terrain classification result of the starting calculation grid; S4. Iterate the calculation for each computational grid in the path area to obtain the terrain classification result of each computational grid in the path area, and connect the computational grids with the same terrain classification type to obtain connected grids with the same terrain classification; S5. According to the preset path area filtering area threshold St, the grids whose areas are smaller than the threshold area in the connected grids are filtered to obtain the terrain analysis result.

2. The grid-connected power transmission line terrain analysis method according to claim 1, characterized in that: In step S1, the transmission line path area is a rectangular area with a length of L and a width of D as a boundary.

3. The grid-connected transmission line terrain analysis method according to claim 1, characterized in that: The grid network is delineated according to a preset sampling step length K as the grid side length, and a grid network composed of a plurality of computational grids is obtained.

4. The grid-connected transmission line terrain analysis method according to claim 3, characterized in that: The calculation radius in step S2 is determined by taking the starting calculation grid vertex as the origin and taking an integer multiple of the preset sampling step length K as the length. The calculation radius length can be expressed as: R = n × K, (n>0) Where R is the calculation radius, K is the sampling step, and n is any integer multiple.

5. The grid-connected transmission line terrain analysis method according to claim 1, characterized in that: In step S2, the elevation value is the altitude of the center point of the calculation grid.

6. The grid-connected transmission line terrain analysis method according to claim 1, characterized in that: In step S3, the terrain is divided into flat points, hilly points, mountainous points, high mountain points and steep mountain points based on engineering technology, specifically: Flat point: Take any calculation grid in the path area as the center, extract the elevation data of all calculation grids within a diameter of 1000m, and if the difference between the height values ​​of different calculation grids is ≤10m, the point is judged as a flat point; Hilly point: With any calculation grid in the path area as the center, extract the elevation data of all calculation grids within a diameter of 1000m. If the difference between the height values ​​of different calculation grids is ≤50m, the point is judged to be a hilly point. Hill point: Take any calculation grid in the path area as the center, extract the elevation data of all calculation grids within a diameter of 250m, and if the difference between the height values ​​of different calculation grids is 50 to 150 meters, then the point is judged as the hill point; High mountain point: With any calculation grid in the path area as the center, extract the elevation data of all calculation grids within a diameter of 250m. If the difference in height values ​​of different calculation grids is 150-250m, the point is judged to be a high mountain point. Steep mountain point: With any calculation grid in the path area as the center, extract the elevation data of all calculation grids within a diameter of 250m. If the difference in height values ​​of different calculation grids is greater than 250m, the point is judged to be a steep mountain point. The terrain category to which the maximum elevation difference of the starting calculation grid belongs is determined according to the engineering technical definition as the terrain category of the starting calculation grid.

7. The grid-connected transmission line terrain analysis method according to claim 1, characterized in that: In step S4, the terrain type of each computing unit is calculated progressively, the terrain determination of each computing unit in the path area is completed, and the computing unit grids with the same terrain are connected to obtain connected grids with the same terrain classification.

8. The grid-connected transmission line terrain analysis method according to claim 1, characterized in that: In step S5, the grid areas whose connected grid areas are smaller than the threshold area are merged into the terrain category of the surrounding area, and the grid areas whose areas are larger than the threshold area are retained in the original partition, thereby forming the final calculation result of the topography and geomorphology of the research scope.

9. A computer 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 computer program, the steps of the grid-connected power transmission line terrain analysis method according to any one of claims 1 to 8 are implemented.

10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the grid-connected power transmission line terrain analysis method according to any one of claims 1 to 8 are implemented.

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