Power transmission and transformation equipment high-precision positioning method and system fusing remote sensing and GIS technology

Abstract

The application discloses a kind of high-precision positioning method and system of power transmission and transformation equipment fusing remote sensing and GIS technology, comprising: obtaining power transmission and transformation equipment remote sensing image, based on the established power transmission and transformation equipment feature library, the identification of power transmission and transformation equipment in image is realized by image recognition;The identification result of equipment is compared with the field equipment operation account, and the coordinate information of the identified power transmission and transformation equipment is obtained;Extract power transmission and transformation equipment feature information, combine the coordinate information of power transmission and transformation equipment, according to equipment function, hierarchical, realize the classified display of layer information.The application is based on GIS and remote sensing technology, using the storage and processing function of GIS platform to geographic space data, the huge number of power transmission and transformation equipment can be intuitively displayed on the map, which makes up for the shortcomings of conventional table account invisibility.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power transmission and transformation equipment positioning, and in particular to a power transmission and transformation equipment high-precision positioning method and system fusing remote sensing and GIS technology. BACKGROUND

[0002] The statements in this section merely provide background information related to the present application and do not necessarily constitute the prior art.

[0003] At present, the power grid facilities are large in scale, the power transmission lines are long, cross each other frequently and large in number, and such a large number of power transmission and transformation equipment causes great trouble to the device operation and maintenance and effective management of the power grid.

[0004] In recent years, the GIS technology developed has a good application prospect, can directly realize visualization of a large number of data information with spatial information, and intuitively displays data information and geographical position and the like, and well solves the disadvantages that the conventional power transmission and transformation station account only displays position coordinates and cannot be converted into spatial data. However, the power transmission and transformation equipment is various in type, and the GIS technology cannot quickly obtain the spatial position information of the power transmission and transformation equipment, and needs to consume a large amount of manpower to process the related data;

[0005] Meanwhile, the remote sensing technology has the characteristics of fast information acquisition speed, short cycle and wide range, and can quickly and efficiently realize identification and positioning of ground object information, but cannot intuitively display spatial position information. SUMMARY

[0006] In order to solve the above problems, the present application provides a power transmission and transformation equipment high-precision positioning method and system fusing remote sensing and GIS technology, which fuses the advantages of the GIS platform for huge data information and complex line station account, and utilizes the remote sensing method to accurately and quickly realize positioning of the power transmission and transformation equipment.

[0007] In some embodiments, the following technical scheme is adopted:

[0008] A power transmission and transformation equipment high-precision positioning method fusing remote sensing and GIS technology, comprising:

[0009] Obtaining remote sensing images of power transmission and transformation equipment, identifying the power transmission and transformation equipment in the images through image recognition based on an established power transmission and transformation equipment feature library;

[0010] Comparing the identification result of the equipment with the field equipment operation station account to obtain coordinate information of the identified power transmission and transformation equipment;

[0011] Extracting feature information of the power transmission and transformation equipment, combining the coordinate information of the power transmission and transformation equipment, layering according to the equipment function to realize classified display of layer information.

[0012] As an optional implementation, the process of establishing the power transmission and transformation equipment feature library is specifically:

[0013] According to the power transmission and transformation equipment features, representative power transmission and transformation equipment sample data is selected, and the power transmission and transformation equipment boundary is outlined and the sample of pure pixels is selected to obtain the texture features, spectral features and backscattering features of the power transmission equipment.

[0014] Based on the features of the sample data, the feature library of different power transmission and transformation equipment is established.

[0015] As an optional implementation, based on the established power transmission and transformation equipment feature library, the recognition of the power transmission and transformation equipment in the image is realized through image recognition; specifically including:

[0016] According to the classification experiment effect, the optimal classification method is selected, and the optimal classification method is optimized according to the equipment remote sensing image of the to-be-measured region to obtain the optimal classifier suitable for the power transmission and transformation equipment of the to-be-measured region.

[0017] As an optional implementation, the recognition result of the equipment is compared with the on-site equipment operation account to obtain the coordinate information of the recognized power transmission and transformation equipment, specifically including:

[0018] The recognition result of the equipment is compared with the on-site equipment operation account to determine the relative position of different power transmission and transformation equipment; based on the set base point, the coordinates of the power transmission and transformation equipment in the Beidou navigation positioning system are measured.

[0019] Based on the coordinates of the power transmission and transformation equipment in the Beidou navigation positioning system and the coordinates in the on-site equipment operation account, difference calculation is performed; based on the difference, the offset of the power transmission and transformation equipment is evaluated, so as to evaluate the accuracy of the account.

[0020] As an optional implementation, multi-source remote sensing data is obtained to interpret the power transmission and transformation engineering line and tower equipment, and the power transmission and transformation engineering account and GIS platform are combined to review the engineering account, and the specific review process is:

[0021] According to the interpretation of different voltage grade towers, taking the remote sensing interpretation result as the reference, the attribute information of the existing power transmission and transformation engineering account is assigned to the corresponding power transmission line on the spatial position to generate the power transmission and transformation account data with accurate position and detailed attributes;

[0022] According to the coordinates of the tower point and the general survey account file, it is converted into a spatial visual vector file, and the line equipment number sequence is connected into a power transmission line; two-by-two comparison is performed to obtain the line and tower information that needs to be checked on site.

[0023] As an optional implementation, the equipment is layered according to the function to realize the classified display of layer information, specifically including:

[0024] The power transmission and transformation equipment is layered according to different voltage levels, and is displayed respectively according to different line names at different levels.

[0025] As an optional implementation, the method further includes determining the area boundary of the power transmission and transformation equipment, and positioning and labeling the boundary.

[0026] In some other embodiments, the following technical solutions are adopted:

[0027] A high-precision positioning system of power transmission and transformation equipment fusing remote sensing and GIS technology, comprising:

[0028] An equipment identification module is configured to acquire remote sensing images of the power transmission and transformation equipment, and identify the power transmission and transformation equipment in the images through image recognition based on the established feature library of the power transmission and transformation equipment.

[0029] A coordinate positioning module is configured to compare the identification result of the equipment with the on-site equipment operation account, and acquire the coordinate information of the identified power transmission and transformation equipment.

[0030] An equipment display module is configured to extract feature information of the power transmission and transformation equipment, combine the coordinate information of the power transmission and transformation equipment, and realize classified display of layer information according to the equipment function.

[0031] In some other embodiments, the following technical solutions are adopted:

[0032] A terminal device comprising a processor and a memory, wherein the processor is configured to implement instructions, and the memory is configured to store a plurality of instructions adapted to be loaded and executed by the processor to implement the high-precision positioning method of the power transmission and transformation equipment fusing remote sensing and GIS technology.

[0033] In some other embodiments, the following technical solutions are adopted:

[0034] A computer-readable storage medium, wherein a plurality of instructions are stored in the computer-readable storage medium, and the instructions are adapted to be loaded and executed by a processor of a terminal device to implement the high-precision positioning method of the power transmission and transformation equipment fusing remote sensing and GIS technology.

[0035] Compared with the prior art, the present application has the following advantages:

[0036] (1) The present application is based on GIS and remote sensing technology, and uses the storage and processing functions of the GIS platform for geographic spatial data to visually display a large number of power transmission and transformation equipment on a map, thereby making up for the invisibility of conventional table accounts.

[0037] (2) The present application acquires the position information of the power transmission and transformation equipment on the remote sensing images, and according to the content of the feature library, uses the remote sensing recognition method to identify and count the basic information of the power transmission and transformation equipment. This avoids a large amount of manual work and improves the efficiency and convenience of the work.

[0038] (3) The application corrects the existing power transmission and transformation station account according to the identified power transmission and transformation equipment information, selects several base points, obtains accurate coordinates of the equipment by using the Beidou positioning system, finally accurately corrects the positions of all power transmission and transformation equipment, and obtains high-precision position information of the power transmission and transformation equipment.

[0039] Other features and advantages of the present application will be in part apparent and in part pointed out hereinafter in the description of the application. BRIEF DESCRIPTION OF DRAWINGS

[0040] Figure 1 The flow chart of the high-precision positioning method of the power transmission and transformation equipment by fusing remote sensing and GIS technology in the embodiment of the application. DETAILED DESCRIPTION

[0041] It should be noted that the following detailed description is illustrative only and is intended to provide further description of the application. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0042] It should be noted that the terms used herein are only for the purpose of describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present application. As used herein, the singular form is intended to include the plural form unless the context clearly indicates otherwise, and it should also be understood that when the terms "comprise" and / or "include" are used in the specification, there is a presence of the features, steps, operations, devices, components and / or combinations thereof.

[0043] Embodiment one

[0044] In one or more embodiments, a high-precision positioning method of power transmission and transformation equipment by fusing remote sensing and GIS technology is disclosed, which solves the problems of large number of power grid equipment and difficult management, applies remote sensing technology, establishes an image feature library of power transmission and transformation equipment, performs machine recognition, and compares with the station account information to determine the position information of the power transmission and transformation equipment in the designated area. The selected base points are used as the reference for accurate positioning of Beidou, high-precision coordinates are obtained, and the positions of all power transmission and transformation equipment are corrected. Finally, the fusion of remote sensing information and GIS platform is realized, and the feature information of the power transmission and transformation equipment is classified and displayed on the platform.

[0045] Specifically combined Figure 1 The method of the embodiment includes the following processes:

[0046] (1) Obtain remote sensing images of power transmission and transformation equipment, and realize the recognition of power transmission and transformation equipment in the images by image recognition based on the established feature library of power transmission and transformation equipment;

[0047] In this embodiment, a power transmission equipment feature library is established, based on a large amount of power transmission equipment sample data, implicit information is extracted for analysis and research, corresponding image recognition is carried out, and identification of power transmission equipment in the image is realized.

[0048] Step (1.1) selection of power transmission equipment sample data and feature analysis

[0049] Based on high-resolution remote sensing images, combined with the collected information of the location of the power transmission equipment, the power transmission equipment is manually identified, and a large number of representative power transmission equipment sample data are selected according to the characteristics of the power transmission equipment, including the boundary sketching of the power transmission equipment and the selection of pure pixel samples.

[0050] The Canny edge detection method is used to calculate the convolution of the image and the Gaussian smoothing filter, and the formula is as follows:

[0051] S[i, j] = G[I, J; sigma] * I[I, J]

[0052] Two arrays P and Q of partial derivatives are calculated using first-order finite differences:

[0053] P[i, j] ≈ (S[i, j+1] - S[i, j] + S[i+1, j+1] - S[i+1, j]) / 2

[0054] Q[i, j] ≈ (S[i, j] - S[i+1, j] + S[i, j+1] - S[i+1, j+1]) / 2

[0055] The magnitude and orientation angle of the gradient are:

[0056]

[0057] θ[i, j] = arctan(Q[i, j] / P[i, j])

[0058] The two arrays P and Q of partial derivatives calculated by first-order finite differences are used to calculate the magnitude and orientation angle of the gradient, and the calculation of the magnitude and orientation angle of the gradient is the premise of applying non-maximum suppression. Through non-maximum suppression, the ridge band in the magnitude image can be thinned, and only the points with the largest local change in magnitude are retained; finally, a double-threshold algorithm is used to detect and connect the edges.

[0059] In this embodiment, the unique texture features of the power transmission equipment are extracted by the Canny edge detection method, the spectral features of the power transmission equipment are obtained through the optical features, and the backscattering features of the power transmission equipment are extracted after Insar preprocessing.

[0060] Step (1.2) establishment of the power transmission equipment feature library of the image

[0061] Based on the sample feature analysis results, a unique feature analysis sample library of power transmission equipment is established. On the basis of classification experiments, an optimized classification method is used to perform optimization calculation using Momentum:

[0062] m t = μ * m r-1 + g r

[0063] Δθ t = - η * m t

[0064] wherein m t is the first order momentum, μ is the momentum factor, g t is the gradient of the objective function, Δθ t is the model parameter, and η is the learning rate.

[0065] The characteristics of the power transmission equipment in the sample area are obtained, and finally the power transmission equipment feature library based on remote sensing images in the specified area is obtained.

[0066] Step (1.3) classifier design and optimization

[0067] According to the classification experiment effect, the optimal classification method is selected, the classification test area is selected, the optimal classification method is tested, and according to the test area effect, the classification method is continuously optimized, and finally the optimal classifier suitable for the power transmission equipment in the specified area is obtained.

[0068] (2) Compare the identification result of the equipment with the on-site equipment operation account to obtain the coordinate information of the identified power transmission and transformation equipment; wherein the on-site equipment operation account information includes line name, voltage level and equipment number, etc.

[0069] Step 2.1, obtain high-precision coordinates

[0070] Combined with the equipment identification result in the image, and compared with the on-site equipment operation account, the relative positions of different power transmission and transformation equipment are determined. Based on the positioning principle, several base points are selected to measure the accurate coordinates in the Beidou navigation positioning system, and the accurate coordinates of the power transmission and transformation equipment are obtained. According to the Beidou positioning and the engineering account, the position difference value is calculated:

[0071]

[0072] The difference calculation is to check the accuracy of the account, and the difference between the accurate positioning of the Beidou equipment and the account data is calculated to evaluate the offset of the power transmission and transformation equipment, so as to evaluate the accuracy of the account; wherein x i , y i , z i are the coordinates obtained by the Beidou equipment, x j , y j , zj Coordinates of the power transmission and transformation equipment in the account book.

[0073] Step 2.2, power transmission and transformation geographic information system process

[0074] Interpret the power transmission and transformation project line and tower equipment by acquiring water system data, DEM data, fused images and other multi-source remote sensing data, review the project account book in combination with the power transmission and transformation project account book and GIS platform, and finally realize high-precision positioning of the power transmission and transformation equipment by using Beidou positioning equipment to form a power transmission and transformation geographic information system process.

[0075] The specific review process is as follows:

[0076] First, according to the different voltage grade towers, the remote sensing interpretation results are taken as the basis, and the line name, equipment number and other attribute information of the existing power transmission and transformation project account book are assigned to the corresponding power transmission line on the spatial position according to different voltage grades, to generate a power transmission and transformation account book data with accurate position and detailed attributes; secondly, according to the "tower point coordinates" and "general survey account book" files, they are converted into spatial visual vector files, and the power transmission and transformation line is connected according to the sequence of the line equipment number; finally, compare them two by two to obtain the line and tower information that needs to be checked in the field.

[0077] (3) Extract the feature information of the power transmission and transformation equipment, combine the coordinate information of the power transmission and transformation equipment, and perform layering according to the equipment function to realize the classified display of layer information.

[0078] According to the power grid geographic information system, the feature information of the power transmission and transformation equipment is extracted, fused with remote sensing images, and layered according to the function to realize the classified display of layer information. For example: the power transmission and transformation equipment is divided into 110kV, 220kV, 500kV, ±660kV, ±800kV and 1000kV according to voltage grade, and is displayed under different levels according to different line names.

[0079] According to the operation requirements of power transmission towers, substations and other facilities, the regional boundary of the facility is determined, and the boundary is positioned and labeled.

[0080] Embodiment two

[0081] In one or more embodiments, a high-precision positioning system for power transmission and transformation equipment is disclosed, which fuses remote sensing and GIS technology, comprising:

[0082] The equipment identification module is used to acquire power transmission and transformation equipment remote sensing images, and to realize the identification of the power transmission and transformation equipment in the images through image recognition based on the established power transmission and transformation equipment feature library;

[0083] The coordinate positioning module is used to compare the identification result of the equipment with the field equipment operation account book, and to acquire the coordinate information of the identified power transmission and transformation equipment.

[0084] The device display module is used to extract feature information of power transmission and transformation equipment, combine coordinate information of the power transmission and transformation equipment, perform layering according to equipment functions, and realize classified display of layer information.

[0085] It should be noted that the specific implementation method of each module has been described in Embodiment One, which will not be described in detail here.

[0086] Embodiment Three

[0087] In one or more embodiments, a terminal device is disclosed, which comprises a server, the server comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the power transmission and transformation equipment high-precision positioning method of fusing remote sensing and GIS technology in Embodiment One when executing the program. For brevity, this will not be described here.

[0088] It should be understood that in the embodiments, the processor can be a central processing unit CPU, and the processor can also be other general-purpose processors, digital signal processors DSP, application-specific integrated circuits ASIC, ready-to-program gate arrays FPGA or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0089] The memory can include read-only memory and random access memory, and provide instructions and data to the processor, and a portion of the memory can also include non-volatile random access memory. For example, the memory can also store device type information.

[0090] In the implementation process, each step of the above method can be completed by integrated logic circuits of hardware in the processor or instructions in the form of software.

[0091] Embodiment Four

[0092] In one or more embodiments, a computer-readable storage medium is disclosed, wherein a plurality of instructions are stored, the instructions being adapted to be loaded and executed by a processor of a terminal device to implement the power transmission and transformation equipment high-precision positioning method of fusing remote sensing and GIS technology in Embodiment One.

[0093] The above describes the specific embodiments of the application in combination with the drawings, but is not a limitation on the protection scope of the application. Those skilled in the art should understand that various modifications or changes made by those skilled in the art on the basis of the technical solutions of the application without creative labor are still within the protection scope of the application.

Claims

1. A high-precision positioning method for power transmission and transformation equipment by fusing remote sensing and GIS technologies, characterized in that, The method comprises the following steps: Obtaining remote sensing images of power transmission and transformation equipment, and identifying the power transmission and transformation equipment in the images based on the established feature library of the power transmission and transformation equipment through image recognition. The process of establishing the feature library of the power transmission and transformation equipment is specifically as follows: According to the characteristics of the power transmission and transformation equipment, representative sample data of the power transmission and transformation equipment are selected, the boundaries of the power transmission and transformation equipment are outlined, and sample selection of pure pixels is performed to obtain the texture features, spectral features and backscattering features of the power transmission and transformation equipment. Based on the features of the sample data, the feature library of different power transmission and transformation equipment is established. The recognition result of the equipment is compared with the on-site equipment operation account to obtain the coordinate information of the recognized power transmission and transformation equipment. The recognition result of the equipment is compared with the on-site equipment operation account to obtain the coordinate information of the recognized power transmission and transformation equipment, specifically including: The recognition result of the equipment is compared with the on-site equipment operation account to determine the relative positions of different power transmission and transformation equipment; based on a set base point, the coordinates of the power transmission and transformation equipment in the Beidou navigation positioning system are determined. Based on the coordinates of the power transmission and transformation equipment in the Beidou navigation positioning system and the coordinates of the power transmission and transformation equipment in the on-site equipment operation account, difference calculation is performed, the offset of the power transmission and transformation equipment is evaluated based on the difference, and thus the accuracy of the account is evaluated. The feature information of the power transmission and transformation equipment is extracted, the coordinate information of the power transmission and transformation equipment is combined, the equipment is layered according to the function, and classified display of layer information is realized.

2. The high-precision positioning method for power transmission and transformation equipment integrating remote sensing and GIS technologies as described in claim 1, characterized in that, Based on the established feature library of the power transmission and transformation equipment, the power transmission and transformation equipment in the images is identified through image recognition, specifically including: According to the classification experimental effect, the optimal classification method is selected, the optimal classification method is optimized according to the equipment remote sensing images of the to-be-tested region, and the optimal classifier suitable for the power transmission and transformation equipment of the to-be-tested region is obtained.

3. The high-precision positioning method for power transmission and transformation equipment integrating remote sensing and GIS technologies as described in claim 1, characterized in that, Further comprising: obtaining multi-source remote sensing data to interpret the power transmission and transformation engineering lines and tower equipment, combining the power transmission and transformation engineering account and the GIS platform to review the engineering account, and the specific review process is as follows: According to the interpretation of different voltage grade towers, taking the remote sensing interpretation results as the reference, the attribute information of the existing power transmission and transformation engineering account is assigned to the corresponding power transmission lines on the spatial position, and the position accurate and attribute detailed power transmission account data is generated; According to the coordinates of the tower points and the general survey account file, the file is converted into a spatial visual vector file, and the power transmission lines are connected according to the sequence of the line equipment numbers; Two-by-two comparison is performed to obtain the line and tower information that needs to be checked on site.

4. The high-precision positioning method for power transmission and transformation equipment integrating remote sensing and GIS technologies as described in claim 1, characterized in that, According to the function of the equipment, the equipment is layered, and classified display of layer information is realized, specifically including: The power transmission and transformation equipment is layered according to different voltage grades, and is displayed respectively according to different line names at different levels.

5. The high-precision positioning method for power transmission and transformation equipment integrating remote sensing and GIS technologies as described in claim 1, characterized in that, Further comprising: The region boundary of the power transmission and transformation equipment is determined, and the boundary is positioned and labeled.

6. A high-precision positioning system for power transmission and transformation equipment by fusing remote sensing and GIS technologies, characterized in that, The method comprises the following steps: The device recognition module is used to obtain remote sensing images of power transmission and transformation equipment, and identify the power transmission and transformation equipment in the images based on the established feature library of the power transmission and transformation equipment through image recognition. The process of establishing the feature library of the power transmission and transformation equipment is specifically as follows: According to the characteristics of the power transmission and transformation equipment, representative sample data of the power transmission and transformation equipment are selected, the boundaries of the power transmission and transformation equipment are outlined, and sample selection of pure pixels is performed to obtain the texture features, spectral features and backscattering features of the power transmission and transformation equipment. Based on the characteristics of the sample data, a feature library of different power transmission and transformation equipment is established; The coordinate positioning module is used to compare the recognition result of the equipment with the field equipment operation account, and obtain the coordinate information of the recognized power transmission and transformation equipment; The recognition result of the equipment is compared with the field equipment operation account, and the coordinate information of the recognized power transmission and transformation equipment is obtained, which specifically includes: The recognition result of the equipment is compared with the field equipment operation account, and the relative position of different power transmission and transformation equipment is determined; based on the set base point, the coordinates of the power transmission and transformation equipment in the Beidou navigation positioning system are determined; Based on the coordinates of the power transmission and transformation equipment in the Beidou navigation positioning system and the coordinates in the field equipment operation account, difference calculation is performed, the offset of the power transmission and transformation equipment is evaluated based on the difference, and the accuracy of the account is evaluated; The device display module is used to extract the feature information of the power transmission and transformation equipment, combine the coordinate information of the power transmission and transformation equipment, layer according to the equipment function, and realize the classified display of the layer information.

7. A terminal device comprising a processor and a memory, the processor configured to implement instructions; the memory configured to store a plurality of instructions, the terminal device characterized by, The instructions are suitable for being loaded and executed by the processor to perform the high-precision positioning method of the power transmission and transformation equipment integrating remote sensing and GIS technology according to any one of claims 1-5.

8. A computer-readable storage medium having stored therein a plurality of instructions, wherein the instructions, when executed by a processor, cause the processor to perform operations comprising: The instructions are suitable for being loaded and executed by the processor of the terminal equipment to perform the high-precision positioning method of the power transmission and transformation equipment integrating remote sensing and GIS technology according to any one of claims 1-5.

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