CN108986234B - Terrain data fusion method and device - Google Patents
Terrain data fusion method and device Download PDFInfo
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Abstract
The application provides a terrain data fusion method and a device, and relates to the technical field of computer application, wherein the terrain data fusion method comprises the following steps: firstly, generating a matrix vector according to large-scale three-dimensional data, wherein the large-scale three-dimensional data is obtained by carrying out laser scanning on a power transmission corridor, the large-scale three-dimensional data comprises elevation feature values, then, generating an elevation block according to small-scale three-dimensional data, wherein the small-scale three-dimensional data is determined according to the position of the power transmission corridor on an electronic map, then, searching the elevation feature values in the elevation block, setting a block matched with the elevation feature values as a homonymous block, and needing to be explained, wherein the block is a part of the elevation block, then, interpolating the matrix vector into the elevation block by taking the homonymous block as an anchor point to obtain a three-dimensional model of the power transmission corridor, so that double (large-scale and small-scale three-dimensional data) searching and positioning of the position of a pole tower can be realized.
Description
Technical Field
The application relates to the technical field of computer application, in particular to a terrain data fusion method and device.
Background
The coverage area of the transmission lines in the whole country is very wide, and correspondingly, the number of towers arranged between the transmission lines is very large. A tower is a support in an overhead power transmission line for supporting the power transmission line, which is one of the basic devices in an overhead power distribution line. The tower is mostly made of steel or reinforced concrete, and is a main supporting structure of the overhead transmission line. According to the materials, the wood rod, the cement rod and the metal rod can be divided.
Equipment operation and maintenance personnel need to regularly overhaul the pole tower and the like. However, when the towers are in a field environment, particularly in some areas with relatively complex terrains, the positions of the towers are difficult to find only according to the map in the power system department. Currently, equipment operators use map application software (e.g., google maps) as an aid to find tower locations. Although the map application software can perform three-dimensional display, due to the large data scale difference with the map, it is still difficult to accurately position the tower position in the power system.
In summary, there is no effective solution to the problem that the position of the tower cannot be found accurately.
Disclosure of Invention
In view of the above, an object of the embodiments of the present application is to provide a terrain data fusion method and apparatus, which improves the accuracy of finding the position of a tower by generating a three-dimensional model of a power transmission corridor according to large-scale three-dimensional data and small-scale three-dimensional data.
In a first aspect, an embodiment of the present application provides a terrain data fusion method, including:
generating a matrix vector according to large-scale three-dimensional data, wherein the large-scale three-dimensional data is obtained by carrying out laser scanning on a power transmission corridor, and the large-scale three-dimensional data comprises elevation characteristic quantities;
generating an elevation block according to small-scale three-dimensional data, wherein the small-scale three-dimensional data is determined according to the position of a power transmission corridor on an electronic map;
searching the elevation characteristic quantity in the elevation block, and setting a block matched with the elevation characteristic quantity as a same-name block, wherein the block is a part of the elevation block;
and taking the homonymous block as an anchor point, and interpolating the matrix vector into the elevation block to obtain the three-dimensional model of the power transmission corridor.
With reference to the first aspect, an embodiment of the present application provides a first possible implementation manner of the first aspect, where the step of generating a matrix vector according to the large-scale three-dimensional data includes:
continuously carrying out laser scanning on a power transmission corridor to obtain a plurality of large-scale three-dimensional data, wherein each large-scale three-dimensional data comprises longitude information, latitude information and elevation information;
generating a longitude vector, a latitude vector and an elevation vector according to the space coordinate position formed by the longitude information, the latitude information and the elevation information;
the matrix vector is generated from the longitude vector, the latitude vector, and the elevation vector.
With reference to the first aspect, the embodiment of the present application provides a second possible implementation manner of the first aspect, where the step of generating an elevation block according to the small-scale three-dimensional data includes:
extracting the small-scale three-dimensional data from an electronic map where the power transmission corridor is located;
performing spatial interpolation on the small-scale three-dimensional data, and shortening the contour lines and the encryption lines obtained after the interpolation;
and generating an elevation block from the small-scale three-dimensional data after shortening.
With reference to the first aspect, an embodiment of the present application provides a third possible implementation manner of the first aspect, where the step of searching the elevation feature quantity in the elevation block, and setting a block matching with the elevation feature quantity as a homonymy block includes:
extracting the elevation feature quantity from the large-scale three-dimensional data;
searching Gao Chengliang, in the elevation block, for similarity with the elevation feature quantity exceeding a preset threshold value;
dividing the elevation block into a plurality of different blocks according to a preset size;
the numbers of Gao Chengliang included in the blocks are compared, and the block with the largest number is set as the same-name block.
With reference to the first aspect, an embodiment of the present application provides a fourth possible implementation manner of the first aspect, where the step of interpolating the matrix vector into the elevation block with the homonymous block as an anchor point to obtain a three-dimensional model of the power transmission corridor includes:
taking the lower left corner of the same-name block as an anchor point;
interpolating the matrix vector into the elevation block with the anchor point as a starting point;
and obtaining the three-dimensional model of the power transmission corridor after the matrix vectors are all interpolated into the elevation block.
With reference to the first aspect, an embodiment of the present application provides a fifth possible implementation manner of the first aspect, where after the step of interpolating the matrix vector into the elevation block with the homonymous block as an anchor point to obtain a three-dimensional model of the power transmission corridor, the method further includes:
transferring the three-dimensional model of the power transmission corridor to a GIS platform;
extracting track information of the three-dimensional model of the power transmission corridor on the GIS platform;
and displaying the track information outwards.
With reference to the first aspect, the embodiment of the present application provides a sixth possible implementation manner of the first aspect, wherein the large-scale three-dimensional data is distributed in a band shape.
In a second aspect, an embodiment of the present application provides a terrain data fusion apparatus, including:
the system comprises a matrix vector generation module, a matrix vector generation module and a matrix vector generation module, wherein the matrix vector generation module is used for generating matrix vectors according to large-scale three-dimensional data, the large-scale three-dimensional data are obtained by carrying out laser scanning on a power transmission corridor, and the large-scale three-dimensional data comprise elevation characteristic quantities;
the elevation block generation module is used for generating an elevation block according to small-scale three-dimensional data, wherein the small-scale three-dimensional data are determined according to the position of the power transmission corridor on the electronic map;
the same-name block setting module is used for searching the elevation characteristic quantity in the elevation block and setting a block matched with the elevation characteristic quantity as a same-name block, wherein the block is a part of the elevation block;
and the three-dimensional model generation module is used for interpolating the matrix vector into the elevation block by taking the homonymy block as an anchor point to obtain a three-dimensional model of the power transmission corridor.
In a third aspect, an embodiment of the present application further provides a terminal, including a memory for storing a program supporting the processor to perform the terrain data fusion method provided in the above aspect, and a processor configured to execute the program stored in the memory.
In a fourth aspect, embodiments of the present application also provide a computer readable storage medium having a computer program stored thereon, which when executed by a processor performs the steps of the method of any of the above.
The terrain data fusion method and device provided by the embodiment of the application, wherein the terrain data fusion method comprises the following steps: firstly, generating a matrix vector according to large-scale three-dimensional data, wherein the large-scale three-dimensional data is obtained after laser scanning is carried out on a power transmission corridor, the large-scale three-dimensional data comprises elevation feature values, then, generating an elevation block according to small-scale three-dimensional data, wherein the small-scale three-dimensional data is determined according to the position of the power transmission corridor on an electronic map, and the precision of the large-scale three-dimensional data is different from that of the small-scale three-dimensional data.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the above objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present application, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 shows a first flowchart of a terrain data fusion method provided by an embodiment of the present application;
FIG. 2 shows a second flowchart of a terrain data fusion method provided by an embodiment of the present application;
FIG. 3 shows a third flowchart of a terrain data fusion method provided by an embodiment of the present application;
fig. 4 shows a structural connection diagram of a terrain data fusion device according to an embodiment of the present application.
Icon: 1-a matrix vector generation module; 2-an elevation block generation module; 3-a homonymy block setting module; 4-a three-dimensional model generation module.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present application.
Towers are a common support structure in power transmission systems, and towers are often used in field environments to support power transmission lines and the like. In order to ensure that the transmission line through the towers is normal, the towers need to be maintained regularly. However, in some areas with relatively complex terrains, it is difficult to find the location of the tower based on the map in the power system department alone. Currently, equipment operators use map application software as an auxiliary means to find the tower position. Although map application software is capable of three-dimensional display, it is still difficult to accurately locate the tower location within the power system.
Based on the above, the embodiment of the application provides a terrain data fusion method and device, and the description is given below through the embodiment.
Example 1
Referring to fig. 1, 2 and 3, the terrain data fusion method provided in the embodiment specifically includes the following steps:
step S101: the matrix vector is generated according to the large-scale three-dimensional data, and the large-scale three-dimensional data is obtained by carrying out laser scanning on a power transmission corridor and comprises elevation characteristic quantities.
Step S102: the elevation block is generated according to the small-scale three-dimensional data, and the small-scale three-dimensional data are determined according to the position of the power transmission corridor on the electronic map.
Step S103: the elevation feature quantity is searched in the elevation block, and the block matched with the elevation feature quantity is set as a homonym block, wherein the block is a part of the elevation block.
Step S104: and taking the homonymous block as an anchor point, and interpolating the matrix vector into the elevation block to obtain the three-dimensional model of the power transmission corridor.
The following describes each step in detail, and step S101 includes the steps of generating a matrix vector according to the large-scale three-dimensional data, including:
step S1011: the power transmission corridor is continuously scanned by laser to obtain a plurality of large-scale three-dimensional data, and the explanation is that each large-scale three-dimensional data comprises longitude information, latitude information and elevation information.
Firstly, the laser scanning is to measure the size and shape of the target by means of scanning technology, in the process of laser scanning, when the light beam is reflected by the polygon edge gauge driven by the motor to form a scanning light beam, the polygon edge gauge is positioned on the front focal plane of the scanning lens, then the angle of incidence of the laser beam to the reflecting mirror is changed continuously by uniform rotation, so that the angle of reflection is changed continuously, and a parallel and continuous scanning line is formed from top to bottom by the action of the scanning lens. In this embodiment, after laser scanning is continuously performed on the power transmission corridor, a plurality of large-scale three-dimensional data are obtained, and the precision of the plurality of large-scale three-dimensional data is not high, but each large-scale three-dimensional data includes longitude information, latitude information and elevation information. I.e. the specific direction of the laser scan is along the X-axis, the Y-axis and the Z-axis, respectively.
In addition, the large-scale three-dimensional data are distributed in a strip shape, so that identification and searching are facilitated, namely on the premise of strip-shaped distribution of longitude information, latitude information and elevation information, the association searching between the large-scale three-dimensional data and the next large-scale three-dimensional data can be performed through a homonymous strip self-adaptive searching method.
Step S1012: and generating a longitude vector, a latitude vector and an elevation vector according to the space coordinate position formed by the longitude information, the latitude information and the elevation information.
In order to better describe the specific position of the power transmission corridor, in this embodiment, the spatial coordinate position is generated according to the result of the laser scanning, and in a specific implementation, the longitude vector is generated according to the spatial coordinate position of the longitude information (i.e. along the Y-axis direction), the latitude vector is generated according to the spatial coordinate position of the latitude information (i.e. along the X-axis direction), and the elevation vector is generated according to the spatial coordinate position of the elevation information (i.e. along the Z-axis direction).
Step S1013: matrix vectors are generated from the longitude vectors, latitude vectors, and elevation vectors.
After generating the plurality of longitude vectors, latitude vectors, and elevation vectors, the respective longitude vectors, latitude vectors, and elevation vectors are integrated together to generate a matrix vector.
Step S102 is a step of generating an elevation block according to the small-scale three-dimensional data, including:
step S1021: and extracting small-scale three-dimensional data from the electronic map where the power transmission corridor is located.
Because, before searching the power transmission corridor, that is, when the power transmission corridor is set, the interior of the power system is electronically mapped to each power transmission corridor, and an electronic map is generated accordingly. In the implementation process, small-scale three-dimensional data are extracted from an electronic map where the power transmission corridor is located, and compared with large-scale three-dimensional data, the accuracy of the small-scale three-dimensional data is higher.
Step S1022: and performing spatial interpolation on the small-scale three-dimensional data, and shortening the contour lines and the encryption lines obtained after the interpolation.
And then, carrying out spatial interpolation on the extracted small-scale three-dimensional data so as to enable the small-scale three-dimensional data to be continuous as much as possible, so as to be fused with the large-scale three-dimensional data. And then shortening the contour lines and the encrypted lines obtained after the interpolation. Here, the purpose of the shortening process is to reduce the influence of the contour lines, encryption lines, and the like on the small-scale three-dimensional data, that is, to eliminate the limitation of the contour lines, encryption lines, and the like.
Step S1023: and generating an elevation block from the small-scale three-dimensional data after shortening.
And then, generating an elevation block from the shortened small-scale three-dimensional data. In specific implementation, the plurality of small-scale three-dimensional data are divided in a block form to generate an elevation block.
Step S103 searches for an elevation feature quantity in an elevation block, and sets a block matching the elevation feature quantity as a homonymous block, comprising:
(1) And extracting elevation characteristic quantity from the large-scale three-dimensional data.
Because the large-scale three-dimensional data includes the elevation feature quantity, in this embodiment, the large-scale three-dimensional data and the small-scale three-dimensional data are fused together by using the elevation feature quantity as the association identifier. In the specific implementation, the elevation characteristic quantity is extracted from the large-scale three-dimensional data.
(2) The altitude block is searched for Gao Chengliang having similarity to the altitude feature exceeding a predetermined threshold.
Then, searching parameters closely related to the elevation feature quantity in the small-scale three-dimensional data, and searching Gao Chengliang, which is higher than a preset threshold value, of the similarity between the parameters and the elevation feature quantity in an elevation block in the implementation process, wherein the preset threshold value is the minimum value of the preset similarity, namely Gao Chengliang, which is higher than the preset threshold value, of the similarity between the parameters and the elevation feature quantity in the elevation block generated by the small-scale three-dimensional data.
(3) The elevation block is divided into a plurality of different blocks according to a preset size.
The method comprises the steps of obtaining a plurality of elevation amounts after searching, and additionally describing that when the plurality of elevation amounts cannot be obtained after searching is finished, the numerical value of the preset threshold value needs to be reduced so as to ensure that the plurality of elevation amounts can be obtained after searching is finished.
It is also necessary to divide the height Cheng Oukuai into a plurality of different blocks according to a predetermined size. The predetermined size may be flexibly set according to the actual use condition. Generally, the number of divided blocks depends on the coverage of the elevation block.
(4) The numbers of Gao Chengliang included in the respective blocks are compared, and the block having the largest number is set as the same-name block.
Since a plurality of elevation amounts have been searched in the previous step, after the elevation block is divided into a plurality of different blocks, the number of Gao Chengliang included in each block is counted in turn, the number of Gao Chengliang included in each block is compared one by one, and then the block with the largest number is set as the same-name block.
Step S104 is to take the same name block as an anchor point, interpolate the matrix vector into the elevation block to obtain the three-dimensional model of the power transmission corridor, and the step comprises the following steps:
(1) The lower left corner of the same name block is taken as an anchor point. It should be noted here that an anchor is a type of hyperlink in web page production. Anchors are, like a quick locator, hyperlinks within a page, and are quite popular to use. Markers may be set in the document using anchors, which are typically placed at or on top of a particular topic of the document. Links to these anchors may then be created, which may quickly bring the visitor to the specified location. In this embodiment, the lower left corner of the same-name block is used as an anchor point, so that the starting point of the topographic data is planned more clearly.
(2) The matrix vector is interpolated into the elevation block starting from the anchor point.
After determining the starting point, the obtained matrix vector is interpolated into the elevation block, so that the whole area where the starting point is located can extend according to the specific azimuth and numerical value of the matrix vector, and the whole matrix vector is interpolated into the elevation block, namely, a closed coordinate is established in the Z-axis direction.
(3) And obtaining the three-dimensional model of the power transmission corridor after the matrix vectors are completely interpolated into the elevation blocks.
Thus, when all matrix vectors are interpolated into the elevation blocks, a three-dimensional model of the power transmission corridor is obtained.
Step S105 takes the same-name block as an anchor point, interpolates the matrix vector into the elevation block, and further includes, after the step of obtaining the three-dimensional model of the power transmission corridor:
(1) And transferring the three-dimensional model of the power transmission corridor to a GIS platform. Here, the geographic information system GIS (english holly Geographic Information System) is a specific spatial information system. The GIS collects, stores, manages, computes, analyzes, displays and describes the related geographic distribution data in the whole or part of the earth surface space under the support of a computer hardware and software system, so that the space information can be analyzed and processed, and the unique visual effect and geographic analysis function of the map are integrated with the operation of a general database.
In this embodiment, the three-dimensional model of the power transmission corridor is transferred to the GIS platform, so that the large-scale three-dimensional data and the small-scale three-dimensional data can be effectively fused, and the GIS platform is utilized to perform effective description, analysis and the like.
(2) And then, extracting the track information of the three-dimensional model of the power transmission corridor on a GIS platform, wherein the extracted track information can be highlighted for more obvious display, and can be further marked by filling colors and the like.
(3) And then, displaying the track information outwards, so that related staff can obtain clear indication.
In summary, the terrain data fusion method provided in this embodiment includes: firstly, generating a matrix vector according to large-scale three-dimensional data, wherein the large-scale three-dimensional data is obtained after laser scanning is performed on a power transmission corridor, the large-scale three-dimensional data comprises elevation feature values, then, generating an elevation block according to small-scale three-dimensional data, wherein the small-scale three-dimensional data is determined according to the position of the power transmission corridor on an electronic map, then, searching the elevation feature values in the elevation block, setting a block matched with the elevation feature values as a homonymous block, wherein the block is a part of the elevation block, then, interpolating the matrix vector into the elevation block by using the homonymous block as an anchor point to obtain a power transmission corridor three-dimensional model, and through the arrangement, carrying out double searching and positioning on the large-scale three-dimensional data and the small-scale three-dimensional data respectively on the position of a pole tower, organically combining the large-scale three-dimensional data and the small-dimensional data to form the power transmission corridor three-dimensional model, so that the position of the pole tower can be accurately positioned, and the efficiency of searching the position of the pole tower is improved.
Example 2
Referring to fig. 4, the present embodiment provides a terrain data fusion apparatus including:
the matrix vector generation module 1 is used for generating matrix vectors according to large-scale three-dimensional data, wherein the large-scale three-dimensional data are obtained by carrying out laser scanning on a power transmission corridor, and the large-scale three-dimensional data comprise elevation feature quantities;
the elevation block generation module 2 is used for generating an elevation block according to small-scale three-dimensional data, wherein the small-scale three-dimensional data is determined according to the position of the power transmission corridor on the electronic map;
the same-name block setting module 3 is used for searching the elevation characteristic quantity in the elevation block, and setting the block matched with the elevation characteristic quantity as the same-name block, wherein the block is a part of the elevation block;
and the three-dimensional model generation module 4 is used for interpolating the matrix vector into the elevation block by taking the homonymy block as an anchor point to obtain the three-dimensional model of the power transmission corridor.
The terrain data fusion device provided by the embodiment of the application has the same technical characteristics as the terrain data fusion method provided by the embodiment, so that the same technical problems can be solved, and the same technical effects can be achieved.
The embodiment of the application also provides a terminal, which comprises a memory and a processor, wherein the memory is used for storing a program for supporting the processor to execute the method of the embodiment, and the processor is configured to execute the program stored in the memory.
The embodiment of the application also provides a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and the computer program executes the steps of the method of any one of the above steps when being executed by a processor.
It should be noted that, in the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described as different from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other. The terrain data fusion method and apparatus provided by the embodiments of the present application have the same implementation principle and technical effects as those of the foregoing method embodiments, and for brevity description, reference may be made to corresponding contents in the foregoing method embodiments where the apparatus embodiment portion is not mentioned.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The apparatus embodiments described above are merely illustrative, for example, of the flowcharts and block diagrams in the figures that illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules or units in the embodiments of the present application may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions, nor should they be construed as indicating or implying any relative importance. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application. It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (9)
1. The terrain data fusion method is characterized by comprising the following steps of:
generating a matrix vector according to large-scale three-dimensional data, wherein the large-scale three-dimensional data is obtained by carrying out laser scanning on a power transmission corridor, and the large-scale three-dimensional data comprises elevation characteristic quantities;
generating an elevation block according to small-scale three-dimensional data, wherein the small-scale three-dimensional data is determined according to the position of a power transmission corridor on an electronic map;
searching the elevation characteristic quantity in the elevation block, and setting a block matched with the elevation characteristic quantity as a same-name block, wherein the block is a part of the elevation block;
taking the homonymous block as an anchor point, and interpolating the matrix vector into the elevation block to obtain a three-dimensional model of the power transmission corridor;
the step of searching the elevation feature quantity in the elevation block and setting the block matched with the elevation feature quantity as a same-name block comprises the following steps:
extracting the elevation feature quantity from the large-scale three-dimensional data;
searching Gao Chengliang, in the elevation block, for similarity with the elevation feature quantity exceeding a preset threshold value;
dividing the elevation block into a plurality of different blocks according to a preset size;
the numbers of Gao Chengliang included in the blocks are compared, and the block with the largest number is set as the same-name block.
2. The terrain data fusion method of claim 1, characterized in that the step of generating a matrix vector from the large-scale three-dimensional data comprises:
continuously carrying out laser scanning on a power transmission corridor to obtain a plurality of large-scale three-dimensional data, wherein each large-scale three-dimensional data comprises longitude information, latitude information and elevation information;
generating a longitude vector, a latitude vector and an elevation vector according to the space coordinate position formed by the longitude information, the latitude information and the elevation information;
the matrix vector is generated from the longitude vector, the latitude vector, and the elevation vector.
3. The terrain data fusion method of claim 1, characterized in that the step of generating an elevation block from small-scale three-dimensional data comprises:
extracting the small-scale three-dimensional data from an electronic map where the power transmission corridor is located;
performing spatial interpolation on the small-scale three-dimensional data, and shortening the contour lines and the encryption lines obtained after the interpolation;
and generating an elevation block from the small-scale three-dimensional data after shortening.
4. The terrain data fusion method of claim 1, wherein the step of interpolating the matrix vector into the elevation block with the homonymous block as an anchor point to obtain a three-dimensional model of a power transmission corridor comprises:
taking the lower left corner of the same-name block as an anchor point;
interpolating the matrix vector into the elevation block with the anchor point as a starting point;
and obtaining the three-dimensional model of the power transmission corridor after the matrix vectors are all interpolated into the elevation block.
5. The terrain data fusion method of claim 1, wherein the step of interpolating the matrix vector into the elevation block with the homonymy block as an anchor point to obtain a three-dimensional model of the power transmission corridor further comprises:
transferring the three-dimensional model of the power transmission corridor to a GIS platform;
extracting track information of the three-dimensional model of the power transmission corridor on the GIS platform;
and displaying the track information outwards.
6. The terrain data fusion method of claim 1, wherein the large-scale three-dimensional data is in a band-like distribution.
7. Topography data fusion device, its characterized in that includes:
the system comprises a matrix vector generation module, a matrix vector generation module and a matrix vector generation module, wherein the matrix vector generation module is used for generating matrix vectors according to large-scale three-dimensional data, the large-scale three-dimensional data are obtained by carrying out laser scanning on a power transmission corridor, and the large-scale three-dimensional data comprise elevation characteristic quantities;
the elevation block generation module is used for generating an elevation block according to small-scale three-dimensional data, wherein the small-scale three-dimensional data are determined according to the position of the power transmission corridor on the electronic map;
the same-name block setting module is used for searching the elevation characteristic quantity in the elevation block and setting a block matched with the elevation characteristic quantity as a same-name block, wherein the block is a part of the elevation block;
the three-dimensional model generation module is used for interpolating the matrix vector into the elevation block by taking the homonymous block as an anchor point to obtain a three-dimensional model of the power transmission corridor;
the elevation block generation module is specifically configured to:
extracting the elevation feature quantity from the large-scale three-dimensional data;
searching Gao Chengliang, in the elevation block, for similarity with the elevation feature quantity exceeding a preset threshold value;
dividing the elevation block into a plurality of different blocks according to a preset size;
the numbers of Gao Chengliang included in the blocks are compared, and the block with the largest number is set as the same-name block.
8. A terminal comprising a memory for storing a program supporting the processor to perform the method of any one of claims 1 to 6, and a processor configured to execute the program stored in the memory.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, performs the steps of the method according to any of the preceding claims 1 to 6.
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