CN115455616A - Power transmission line path optimization line selection method and device based on multi-source remote sensing data - Google Patents
Power transmission line path optimization line selection method and device based on multi-source remote sensing data Download PDFInfo
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Abstract
The invention provides a power transmission line path optimization line selection method and device based on multi-source remote sensing data. The optimization line selection method comprises the following steps: obtaining multidimensional data of an area where a path of a power transmission line passes, wherein the multidimensional data comprise: satellite remote sensing data, oblique photography data and laser point cloud data; determining an initial path of the power transmission line and tower pole information in the initial path based on the satellite remote sensing data and the oblique photography data; the tower pole information comprises tangent tower information and corner tower information; calculating path parameters of the initial path based on the laser point cloud data and the tower pole information in the initial path; and fine-tuning the tower pole in the initial path, recalculating the path parameters of the path after fine tuning, and determining final path information based on the initial path information and the path parameters of the path after fine tuning. The method can realize effective utilization of multi-source remote sensing data, optimize the power transmission line path and improve the refinement degree of the power transmission line path.
Description
Technical Field
The invention relates to the technical field of power supply and distribution, in particular to a power transmission line path optimization line selection method and device based on multi-source remote sensing data.
Background
The electric power optimization line selection is used as an important link of electric power engineering construction, and the progress and the quality of the whole electric power engineering are influenced by the quality of line design. The most widely applied method is the optimized line selection method based on the stereo image matching technology. The method is based on the orthoimage and the stereo matching image pair, a three-dimensional model is constructed, and a designer is assisted in positioning the tower.
With the increasing development of aerial remote sensing technology, the means for acquiring remote sensing data of a power transmission channel are continuously abundant, such as satellite remote sensing, aerial remote sensing, oblique photogrammetry, laser radars and the like, the data acquired by different technical means have different use values, the overall profile of the channel can be acquired by adopting a satellite image in the initial setting stage of a circuit, the aerial remote sensing image can construct high-resolution topographic data to assist in fine design, the oblique photogrammetry result has the characteristics of fineness, objectification, measurability and the like, a designer can observe surface information from multiple angles, path selection can be more intuitively carried out, and laser point cloud can more accurately describe the spatial relationship of all the features of the power transmission channel. How to fully utilize multi-source remote sensing data and exert the advantages of various data sources is a problem to be faced by the path optimization route selection of the current overhead transmission line.
Disclosure of Invention
The invention provides a power transmission line path optimization line selection method and device based on multi-source remote sensing data, which can realize effective utilization of the multi-source remote sensing data, optimize a power transmission line path and improve the refinement degree of the power transmission line path.
In a first aspect, the invention provides a power transmission line path optimization line selection method based on multi-source remote sensing data, which comprises the following steps: obtaining multidimensional data of an area where a path of the power transmission line passes, wherein the multidimensional data comprise: satellite remote sensing data, oblique photography data and laser point cloud data; determining an initial path of the power transmission line and tower pole information in the initial path based on the satellite remote sensing data and the oblique photography data; the tower pole information comprises tangent tower information and corner tower information; calculating path parameters of the initial path based on the laser point cloud data and tower pole information in the initial path, wherein the path parameters comprise three-line section information, cross spanning information, construction feasibility information, ground verification information, line windage yaw information and erection cost information; and fine-tuning the tower pole in the initial path, recalculating the path parameters of the path after fine tuning, and determining final path information based on the initial path information and the path parameters of the path after fine tuning.
The invention provides a power transmission line path optimization line selection method based on multi-source remote sensing data, which comprises the steps of determining an initial path of a power transmission line and tower information in the initial path through satellite remote sensing data and oblique photography data; then, calculating path parameters of the initial path based on the laser point cloud data and tower information in the initial path; and finally, fine-tuning the tower pole in the initial path, recalculating the path parameters of the path after fine tuning, and determining final path information based on the initial path information and the path parameters of the path after fine tuning. The oblique photography data has the characteristics of refinement, objectification, measurability and the like, and the initial path of the power transmission line can be more accurately determined after the oblique photography data is combined with the satellite remote sensing data. And the laser point cloud data cloud can describe spatial relations of all ground objects of the power transmission channel more accurately, and the path is finely adjusted on the basis of the primary path, so that the path of the power transmission line can be finely adjusted, the path of the power transmission line is optimized while multi-source remote sensing data are effectively utilized, and the refinement degree of the path of the power transmission line is improved.
In one possible implementation manner, determining an initial path of the power transmission line and tower information in the initial path based on the satellite remote sensing data and the oblique photography data includes: determining a plurality of paths between a starting point and an end point of the power transmission line based on the satellite remote sensing data and the oblique photography data; calculating the erection cost, the obstacle influence degree coefficient and the erection difficulty coefficient of each path, wherein the erection cost comprises the material cost, the construction cost and the removal cost, the obstacle influence degree coefficient is used for representing the influence degree of the obstacles in the path on the path erection, and the erection difficulty coefficient is used for representing the construction difficulty degree; selecting one path from the multiple paths as an initial path based on the erection cost, the obstacle influence degree coefficient and the erection difficulty coefficient, and determining tower pole information in the initial path.
In one possible implementation, determining a plurality of paths between a start point and an end point of the power transmission line based on the satellite remote sensing data and the oblique photography data includes: performing aerial triangulation calculation based on satellite remote sensing data to obtain a DOM model, a DEM model and a stereopair model; based on oblique photography data, performing exterior orientation element calculation, aerial triangulation calculation and model reconstruction editing to obtain a three-dimensional model; and performing initial route selection between the starting point and the end point of the power transmission line based on the DOM model, the DEM model, the stereopair model and the three-dimensional model to obtain a plurality of routes.
In one possible implementation, determining the tower information in the initial path includes: determining a corner point in the initial path as the position of a corner tower in the initial path; determining the position of a tangent tower in the initial path based on the obstacle information of the area where the initial path is located; the obstacle information includes the kind and position of the obstacle; and determining the type of the tangent tower and the type of the corner tower in the initial path based on the erection cost and the erection difficulty of the initial path.
In one possible implementation, calculating path parameters of the initial path based on the laser point cloud data and the tower information in the initial path includes: calibrating tower pole information in the initial path based on the laser point cloud data; calculating three-line section information based on the calibrated tower pole information; determining the elevation information of the obstacle and the elevation information of the tower pole in the initial path based on the laser point cloud data and the calibrated tower pole information; determining cross-over information based on the elevation information of the obstacles in the initial path, the elevation information of the tower pole and the three-line section information; determining the construction environment and the construction difficulty of the tangent tower and the corner tower based on the calibrated tower pole information; determining construction feasibility information based on the construction environment and the construction difficulty; determining an erection model of the power cable based on the calibrated tower pole information; determining the ground distance of the power cable and determining ground checking information based on the type, position and elevation information of the obstacle and an erection model of the power cable; calculating the windage yaw distance of the power cable based on the erection model of the power cable; and determines line windage yaw information based on the windage yaw distance.
In one possible implementation, fine-tuning a tower in an initial path, recalculating path parameters of the fine-tuned path, and determining final path information based on the initial path information and the path parameters of the fine-tuned path includes: weighting and summing the values of all path parameters of the initial path and the weight values corresponding to all path parameters to obtain an evaluation coefficient of the initial path; carrying out weighted summation based on the values of the path parameters of the path after fine tuning and the weighted values corresponding to the path parameters to obtain the evaluation coefficient of the path after fine tuning; and finely adjusting the tower pole in the initial path until the minimum value of the evaluation coefficient is determined, determining the tangent tower position and the corner tower position corresponding to the minimum value of the evaluation coefficient, and determining final path information.
In one possible implementation, fine-tuning the tower in the initial path includes: determining the path parameter with the maximum product of the value and the weight value in each path parameter; determining the direction of decreasing product of the value and the weight value in the path parameter; the position of the tower is finely adjusted in that direction.
In a second aspect, an embodiment of the present invention provides a power transmission line path optimization line selection device based on multi-source remote sensing data, including: the communication module is used for acquiring multidimensional data of an area where a path of the power transmission line passes, and the multidimensional data comprise: satellite remote sensing data, oblique photography data and laser point cloud data; the processing module is used for determining an initial path of the power transmission line and tower pole information in the initial path based on the satellite remote sensing data and the oblique photography data; the tower pole information comprises tangent tower information and corner tower information; the processing module is further used for calculating path parameters of the initial path based on the laser point cloud data and tower pole information in the initial path, wherein the path parameters comprise three-line section information, cross spanning information, construction feasibility information, ground verification information, line windage yaw information and erection cost information; the processing module is further used for carrying out fine adjustment on the tower pole in the initial path, recalculating the path parameters of the path after fine adjustment, and determining the final path information based on the initial path information and the path parameters of the path after fine adjustment.
In a possible implementation manner, the processing module is specifically configured to determine multiple paths between a starting point and an end point of the power transmission line based on the satellite remote sensing data and the oblique photography data; calculating the erection cost, the obstacle influence degree coefficient and the erection difficulty coefficient of each path, wherein the erection cost comprises the material cost, the construction cost and the removal cost, the obstacle influence degree coefficient is used for representing the influence degree of the obstacles in the path on the path erection, and the erection difficulty coefficient is used for representing the construction difficulty degree; selecting one path from the multiple paths as an initial path based on the erection cost, the obstacle influence degree coefficient and the erection difficulty coefficient, and determining tower pole information in the initial path.
In a possible implementation manner, the processing module is specifically configured to perform aerial triangulation calculation based on satellite remote sensing data to obtain a DOM model, a DEM model, and a stereopair model; based on oblique photography data, performing exterior orientation element calculation, aerial triangulation calculation and model reconstruction editing to obtain a three-dimensional model; and performing initial route selection between the starting point and the end point of the power transmission line based on the DOM model, the DEM model, the stereopair model and the three-dimensional model to obtain a plurality of routes.
In a possible implementation manner, the processing module is specifically configured to determine a corner point in the initial path as a position of a corner tower in the initial path; determining the position of a tangent tower in the initial path based on the obstacle information of the area where the initial path is located; the obstacle information includes the kind and position of the obstacle; and determining the type of the tangent tower and the type of the corner tower in the initial path based on the erection cost and the erection difficulty of the initial path.
In one possible implementation, the processing module is specifically configured to calibrate tower information in the initial path based on the laser point cloud data; calculating three-line section information based on the calibrated tower pole information; determining the elevation information of the obstacle and the elevation information of the tower pole in the initial path based on the laser point cloud data and the calibrated tower pole information; determining cross-over information based on the elevation information of the obstacles in the initial path, the elevation information of the tower pole and the three-line section information; determining the construction environment and the construction difficulty of the tangent tower and the corner tower based on the calibrated tower pole information; determining construction feasibility information based on the construction environment and the construction difficulty; determining an erection model of the power cable based on the calibrated tower pole information; determining the ground distance of the power cable and determining ground checking information based on the type, position and elevation information of the obstacle and an erection model of the power cable; calculating the windage yaw distance of the power cable based on the erection model of the power cable; and determining line windage yaw information based on the windage yaw distance.
In a possible implementation manner, the processing module is specifically configured to perform weighted summation based on a value of each path parameter of the initial path and a weight value corresponding to each path parameter, so as to obtain an evaluation coefficient of the initial path; carrying out weighted summation based on the values of the path parameters of the path after fine tuning and the weighted values corresponding to the path parameters to obtain the evaluation coefficient of the path after fine tuning; and finely adjusting the tower pole in the initial path until the minimum value of the evaluation coefficient is determined, determining the tangent tower position and the corner tower position corresponding to the minimum value of the evaluation coefficient, and determining final path information.
In a possible implementation manner, the processing module is specifically configured to determine a path parameter with a largest product of a value and a weight value in each path parameter; determining the direction of decreasing product of the value and the weight value in the path parameter; the position of the tower is finely adjusted in that direction.
In a third aspect, an embodiment of the present invention provides electronic equipment, where the electronic equipment includes a memory and a processor, where the memory stores a computer program, and the processor is configured to call and execute the computer program stored in the memory to perform the steps of the method according to any one of the foregoing first aspect and possible implementation manners of the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored, where the computer program is configured to, when executed by a processor, implement the steps of the method according to the first aspect and any one of the possible implementation manners of the first aspect.
For technical effects brought by any one of the implementation manners of the second aspect to the fourth aspect, reference may be made to technical effects brought by a corresponding implementation manner of the first aspect, and details are not described here.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the embodiments or the prior art description will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings may be obtained according to these drawings without inventive labor.
Fig. 1 is a schematic flow chart of a power transmission line path optimization line selection method based on multi-source remote sensing data according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a power transmission line path optimization line selection device based on multi-source remote sensing data according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In the description of the present invention, "/" means "or" unless otherwise specified, for example, a/B may mean a or B. "and/or" herein is merely an association describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. Further, "at least one" or "a plurality" means two or more. The terms "first", "second", and the like do not necessarily limit the number and execution order, and the terms "first", "second", and the like do not necessarily limit the difference.
In the embodiments of the present application, words such as "exemplary" or "for example" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "such as" is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present relevant concepts in a concrete fashion for ease of understanding.
Furthermore, the terms "including" and "having," and any variations thereof, as referred to in the description of the present application, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or modules is not limited to the listed steps or modules, but may alternatively include other steps or modules not listed or inherent to such process, method, article, or apparatus.
To make the objects, technical solutions and advantages of the present invention more apparent, the following description will be made by way of specific embodiments in conjunction with the accompanying drawings of the present invention.
Fig. 1 is a schematic flow chart of a power transmission line path optimization line selection method based on multi-source remote sensing data according to an embodiment of the present invention. The optimized execution subject of the power transmission line path is a power transmission line path optimized line selection device, and the optimized line selection method comprises the steps of S101-S104.
S101, obtaining multidimensional data of an area where a path of the power transmission line passes.
In an embodiment of the present application, the multidimensional data includes: satellite remote sensing data, oblique photography data and laser point cloud data.
As a possible implementation mode, the optimized line selection device can acquire satellite remote sensing data by communicating with a satellite and an aircraft.
As another possible implementation manner, the optimized line selection device may perform oblique photogrammetry on a region where a path of the transmission line passes through by using the aircraft, so as to obtain oblique photogrammetry data of the region where the path passes through. The oblique photography data may include raw imagery, camera files, POS data, field control points, and base station data, among others.
As another possible implementation manner, the optimization line selection device may perform laser point cloud shooting on an area where a path of the power transmission line passes through a laser radar to obtain laser point cloud data.
S102, determining an initial path of the power transmission line and tower pole information in the initial path based on the satellite remote sensing data and the oblique photography data.
The tower pole information comprises tangent tower information and corner tower information.
In some embodiments, the tangent tower information includes the location and type of the tangent tower.
In some embodiments, the turret information includes the location and type of the turret.
Exemplary types of tower poles include a gabled tower, a wine glass tower, a cat-head tower, a dry-type tower, a gabled tower, a drum tower, a gantry tower, and a vee tower.
As a possible implementation manner, the optimization line selection device may determine the initial path of the transmission line and the tower information in the initial path based on steps A1-A3.
And A1, determining a plurality of paths between the starting point and the end point of the power transmission line based on the satellite remote sensing data and the oblique photography data.
As a possible implementation manner, the optimized line selection device can perform aerial triangulation calculation based on satellite remote sensing data to obtain a DOM model, a DEM model and a stereopair model; based on oblique photography data, performing exterior orientation element calculation, aerial triangulation calculation and model reconstruction editing to obtain a three-dimensional model; and based on the DOM model, the DEM model, the stereopair model and the three-dimensional model, performing initial route selection between the starting point and the end point of the power transmission line to obtain a plurality of routes.
For example, the optimized line selection device can perform preprocessing such as distortion correction, dodging and color evening on satellite remote sensing data, and realize aerial triangulation of the satellite remote sensing data and check aerial triangulation result accuracy by combining operations such as relative orientation, control point sprint changing, adjustment resolving and the like of ground control points. On the premise of meeting the precision requirement, DTM production is carried out, namely a three-dimensional model of the aerial triangulation result is constructed, a DTM matching strategy is set to achieve DTM automatic matching, the DTM result is obtained, and DTM precision is checked. Carrying out editing processing such as filtering and cutting on the DTM on the premise of meeting the precision requirement, thereby obtaining a DEM model; and finally, performing orthorectification on the images after light and color uniformization by using external orientation elements output by the aerial triangles and the DEM, and generating a DOM (document object model) and a stereopair model through splicing treatment.
Illustratively, the optimized line selector may preprocess the oblique photography data. Preprocessing comprises POS data resolving and image distortion correction; and then extracting the air triangulation processing such as connection points and integral adjustment of the region, and performing model reconstruction and editing after the precision is checked to be qualified. The model reconstruction and editing comprises the steps of multi-view image dense matching, three-dimensional TIN grid construction, white three-dimensional model creation, automatic texture mapping and the like, and finally, the output model is edited to obtain the three-dimensional model.
And A2, calculating the erection cost, the obstacle influence degree coefficient and the erection difficulty coefficient of each path.
In some embodiments, the erection costs include material costs, construction costs, and removal costs.
For example, the optimized route selector may determine the pole cost of any path based on the type, number, and material of the poles in that path. The optimization route selection device determines the cost of the power cable based on the length of the path. The optimization route selector can sum the tower cost and the cost of the power cable to determine the material cost of the path.
For example, the optimized route selection device may determine the construction cost of any route based on the type and number of towers in the route and the degree of influence of obstacles on the towers. For example, the optimized route selection device may determine a construction influence factor of the route based on the influence degree of the obstacle on the tower, where a larger construction influence factor indicates a larger influence degree of the obstacle on the tower, and the construction cost is higher. The optimization route selection device may determine preliminary construction costs based on the type and number of poles, and determine the product of the preliminary construction costs and the construction impact factors as construction costs.
For example, the optimized route selection device may determine whether an obstacle to be removed exists in the obstacles based on the type of the obstacle and the degree of influence of the obstacle on the tower pole, and calculate the removal cost caused by the obstacle to be removed.
It should be noted that, the path traveled by the transmission line is different, which may cause different removal situations of the obstacle. For example, the number of obstacles to be removed in the first path is 5. The number of obstacles to be removed in the second path is 2. The third path does not need to remove the obstacles, that is, the number of the obstacles in the third path that need to be removed is 0.
In some embodiments, the obstacle impact level coefficient is used to characterize the impact level of obstacles in the path on the erection of the path.
For example, for any route, the optimal route selection device may determine the type and elevation of obstacles in the route. And determining an obstacle influence degree coefficient of the path based on the type and the elevation of the obstacle. For example, the optimal route selection device may calculate a product of a score corresponding to the kind of the obstacle and a score corresponding to the elevation, and determine the product as the obstacle influence degree coefficient.
In some embodiments, the erection difficulty factor is used to characterize the construction difficulty level.
For example, the optimized route selection device may determine the assumed difficulty coefficient based on the type and the elevation of the obstacle and the relative position relationship between the tower and the obstacle. For example, if the obstacle is a tree, the height is 10 meters, and the tower is located on one side of the obstacle, the obstacle has a small influence on the construction of the tower, and the assumed difficulty coefficient is small.
And A3, selecting one path from the multiple paths as an initial path based on the erection cost, the obstacle influence degree coefficient and the erection difficulty coefficient, and determining tower pole information in the initial path.
As one possible implementation manner, the optimization route selection device may perform weighted summation on the erection cost, the obstacle influence degree coefficient, and the erection difficulty coefficient, calculate the erection evaluation value corresponding to each route, and determine the route with the smallest erection evaluation value as the initial route.
As a possible implementation manner, the optimization line selection device may determine the corner point in the initial path as the position of the corner tower in the initial path; determining the position of a tangent tower in the initial path based on the obstacle information of the area where the initial path is located; the obstacle information includes the kind and position of the obstacle; and determining the type of the tangent tower and the type of the corner tower in the initial path based on the erection cost and the erection difficulty of the initial path.
It should be noted that, since the satellite remote sensing data can construct high-resolution topographic data, the oblique photography data has the characteristics of refinement, objectification, measurability and the like, the combination of the oblique photography data and the satellite remote sensing data can construct refined, objectified and measurable topographic data, so that the initial path of the power transmission line can be determined more accurately, and the accuracy of the initial construction of the power transmission line is improved.
S103, calculating path parameters of the initial path based on the laser point cloud data and the tower information in the initial path.
In some embodiments, the laser point cloud data comprises: ground point cloud data and obstacle point cloud data, the obstacle includes shaft tower, power line, trees and building.
For example, the optimization line selection device can preprocess the laser point cloud data, and the preprocessing mainly comprises POS data resolving, image distortion correction, point cloud data coordinate conversion and calibration; and then, carrying out filtering denoising, gross error elimination and other processing on the laser point cloud data, classifying the laser point cloud data, and adding the classified laser point cloud data to the DEM model.
In the embodiment of the application, the path parameters comprise three-line section information, cross spanning information, construction feasibility information, ground verification information, line windage yaw information and erection cost information;
in some embodiments, the three-wire profile information includes profile information of a left edge, a right edge and a middle wire in the power transmission line. Exemplary, the distances between the left and middle lines, and the right and middle lines may be 15 meters, 30 meters, and 75 meters.
As a possible implementation manner, the optimization line selection device can calibrate the tower pole information in the initial path based on the laser point cloud data; and calculating the three-line section information based on the calibrated tower pole information.
For example, the optimized line selection device may determine coordinate information of the left sideline, the right sideline and the middle line based on the calibrated tower pole information, and calculate the three-line section information based on the coordinate information of the left sideline, the right sideline and the middle line.
In some embodiments, the crossing information includes a height difference when the power line crosses other lines and a height difference when the power line crosses an obstacle.
As a possible implementation manner, the optimized line selection device may determine elevation information of an obstacle and elevation information of a tower pole in an initial path based on the laser point cloud data and the calibrated tower pole information; and determining cross-over information based on the elevation information of the obstacles in the initial path, the elevation information of the tower pole and the three-line section information.
In some embodiments, the construction feasibility information is used for the difficulty level of the power transmission line assumption.
As a possible implementation manner, the optimized line selection device can determine the construction environment and the construction difficulty of the tangent tower and the corner tower based on the calibrated tower pole information; and determining construction feasibility information based on the construction environment and the construction difficulty.
In some embodiments, the ground check information is used for characterizing whether the distance between the transmission line and the ground table meets the safety requirement. The optimization line selection device can calculate the vertical distance between the power transmission line and the obstacle or the ground, and compares the vertical distance with the safe distance range to obtain the ground verification information.
As a possible implementation manner, the optimized line selection device may determine an erection model of the power cable based on the calibrated tower pole information; and determining the ground distance of the power cable and determining ground verification information based on the type, position and elevation information of the obstacles and the erection model of the power cable.
For example, the optimized line selection device may obtain three-dimensional coordinates of a line and an obstacle between two adjacent towers, calculate a height difference based on the three-dimensional coordinates of the line and the obstacle, and compare the height difference with a safe distance range to determine whether the distance from the earth surface of the power transmission line meets safety requirements.
In some embodiments, the line windage yaw information is used to characterize whether the windage yaw distance of the power transmission line meets safety requirements.
As a possible implementation manner, the optimization line selection device may calculate a windage yaw distance of the power cable based on an erection model of the power cable; and determining line windage yaw information based on the windage yaw distance.
For example, the optimization line selection device may dynamically simulate windage yaw of the power transmission line in the three-dimensional model, and determine the power transmission channel of the power transmission line based on the amplitude of the yaw. And determining obstacle information in the range of the power transmission channel, such as house and forest information, by combining the laser point cloud data. The degree of influence of the obstacle on the power transmission channel is determined. And if the obstacle has no influence on the power transmission channel, determining that the line windage yaw information is safe. And if the obstacle has influence on the power transmission channel, calculating an influence degree coefficient of the obstacle on the power transmission channel, and determining the line windage yaw information according to the influence degree coefficient.
In some embodiments, the erection cost information includes material costs, construction costs, and removal costs.
As a possible implementation, the optimized route selection device may determine the pole cost of the initial path based on the type, number, and material of the poles in the path. The optimization route selection device determines the cost of the power cable based on the length of the path. The optimization route selector may sum the cost of the tower and the cost of the power cable to determine the material cost of the path.
And S104, fine-tuning the tower pole in the initial path, recalculating the path parameters of the path after fine tuning, and determining final path information based on the initial path information and the path parameters of the path after fine tuning.
As a possible implementation manner, the optimized route selection device may determine the final path information based on steps S1041-S1043.
S1041, carrying out weighted summation based on the values of all path parameters of the initial path and the weighted values corresponding to all path parameters to obtain an evaluation coefficient of the initial path;
s1042, carrying out weighted summation based on the values of the path parameters of the fine-tuned path and the weighted values corresponding to the path parameters to obtain an evaluation coefficient of the fine-tuned path;
and S1043, finely adjusting the tower pole in the initial path until the minimum value of the evaluation coefficient is determined, determining the tangent tower position and the corner tower position corresponding to the minimum value of the evaluation coefficient, and determining final path information.
As a possible implementation manner, the optimization route selection device may determine a path parameter with the largest product of the value and the weight value in each path parameter; determining the direction of decreasing product of the value and the weight value in the path parameter; the position of the tower is finely adjusted in that direction.
As another possible implementation manner, the optimization route selection device may determine a direction in which the value of any path parameter decreases, and perform fine adjustment on the position of the tower pole in the direction.
For example, the optimized route selection device may determine a direction in which the value of the cross-over information decreases, and fine-tune the position of the tower pole in the direction. Thereby reducing the degree of cross-over in the path of the transmission line.
As another example, the optimization route selection device may determine a direction in which the value of the construction feasibility information decreases, and fine-tune the position of the tower pole in the direction. Thereby reducing the construction difficulty of the transmission line in the construction process.
The invention provides a power transmission line path optimization line selection method based on multi-source remote sensing data, which determines an initial path of a power transmission line and tower information in the initial path through satellite remote sensing data and oblique photography data; then, calculating path parameters of the initial path based on the laser point cloud data and tower information in the initial path; and finally, fine-tuning the tower pole in the initial path, recalculating the path parameters of the path after fine tuning, and determining final path information based on the initial path information and the path parameters of the path after fine tuning. The oblique photography data has the characteristics of refinement, objectification, measurability and the like, and the initial path of the power transmission line can be more accurately determined after the oblique photography data is combined with the satellite remote sensing data. And the laser point cloud data cloud can describe spatial relations of all ground objects of the power transmission channel more accurately, and the path is finely adjusted on the basis of the primary path, so that the path of the power transmission line can be finely adjusted, the path of the power transmission line is optimized while multi-source remote sensing data are effectively utilized, and the refinement degree of the path of the power transmission line is improved.
Optionally, the method for optimizing and selecting a power transmission line path based on multi-source remote sensing data according to the embodiment of the present invention further includes, after step S104: the optimization line selection device can superimpose path schemes, tower symbols, contour lines and other information on the all-digital topographic map of the transmission line channel after the optimization of the transmission line path is completed, and output a path result map; meanwhile, a house distribution diagram, a tower footing section diagram and the like can be automatically generated by utilizing the laser point cloud, and the result is finally output according to the drawing specification requirement.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
The following are embodiments of the apparatus of the invention, reference being made to the corresponding method embodiments described above for details which are not described in detail therein.
Fig. 2 shows a schematic structural diagram of an optimized line selection device for a transmission line path according to an embodiment of the present invention. The optimized line selection device 200 comprises a communication module 201 and a processing module 202.
A communication module 201, configured to obtain multidimensional data of an area where a path of a power transmission line passes, where the multidimensional data includes: satellite remote sensing data, oblique photography data and laser point cloud data
The processing module 202 is used for determining an initial path of the power transmission line and tower information in the initial path based on the satellite remote sensing data and the oblique photography data; the tower information includes tangent tower information and corner tower information.
The processing module 202 is further configured to calculate path parameters of the initial path based on the laser point cloud data and tower information in the initial path, where the path parameters include three-line section information, cross-over information, construction feasibility information, ground verification information, line windage yaw information, and erection cost information.
The processing module 202 is further configured to perform fine adjustment on the tower pole in the initial path, recalculate the path parameters of the fine-adjusted path, and determine final path information based on the initial path information and the path parameters of the fine-adjusted path.
In one possible implementation, the processing module 202 is specifically configured to determine multiple paths between a start point and an end point of the power transmission line based on the satellite remote sensing data and the oblique photography data; calculating the erection cost, the obstacle influence degree coefficient and the erection difficulty coefficient of each path, wherein the erection cost comprises the material cost, the construction cost and the removal cost, the obstacle influence degree coefficient is used for representing the influence degree of the obstacles in the path on the path erection, and the erection difficulty coefficient is used for representing the construction difficulty degree; selecting one path from the multiple paths as an initial path based on the erection cost, the obstacle influence degree coefficient and the erection difficulty coefficient, and determining tower pole information in the initial path.
In a possible implementation manner, the processing module 202 is specifically configured to perform aerial triangulation calculation based on satellite remote sensing data to obtain a DOM model, a DEM model, and a stereopair model; based on oblique photography data, performing exterior orientation element calculation, aerial triangulation calculation and model reconstruction editing to obtain a three-dimensional model; and performing initial route selection between the starting point and the end point of the power transmission line based on the DOM model, the DEM model, the stereopair model and the three-dimensional model to obtain a plurality of routes.
In a possible implementation manner, the processing module 202 is specifically configured to determine a corner point in the initial path as a position of a corner tower in the initial path; determining the position of a tangent tower in the initial path based on the obstacle information of the area where the initial path is located; the obstacle information includes the kind and position of the obstacle; and determining the type of the tangent tower and the type of the corner tower in the initial path based on the erection cost and the erection difficulty of the initial path.
In a possible implementation manner, the processing module 202 is specifically configured to calibrate tower information in an initial path based on laser point cloud data; calculating three-line section information based on the calibrated tower pole information; determining the elevation information of the obstacle and the elevation information of the tower pole in the initial path based on the laser point cloud data and the calibrated tower pole information; determining cross-over information based on the elevation information of the obstacles in the initial path, the elevation information of the tower pole and the three-line section information; determining the construction environment and the construction difficulty of a tangent tower and a corner tower based on the calibrated tower pole information; determining construction feasibility information based on the construction environment and the construction difficulty; determining an erection model of the power cable based on the calibrated tower pole information; determining the ground distance of the power cable and determining ground checking information based on the type, position and elevation information of the obstacle and an erection model of the power cable; calculating the windage yaw distance of the power cable based on the erection model of the power cable; and determines line windage yaw information based on the windage yaw distance.
In a possible implementation manner, the processing module 202 is specifically configured to perform weighted summation based on a value of each path parameter of the initial path and a weight value corresponding to each path parameter, so as to obtain an evaluation coefficient of the initial path; carrying out weighted summation based on the values of the path parameters of the path after fine tuning and the weighted values corresponding to the path parameters to obtain the evaluation coefficient of the path after fine tuning; and finely adjusting the tower pole in the initial path until the minimum value of the evaluation coefficient is determined, determining the tangent tower position and the corner tower position corresponding to the minimum value of the evaluation coefficient, and determining final path information.
In a possible implementation manner, the processing module 202 is specifically configured to determine a path parameter with a largest product of a value and a weight value in each path parameter; determining the direction of decreasing product of the value and the weight value in the path parameter; the position of the tower is finely adjusted in that direction.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. As shown in fig. 3, the electronic apparatus 300 of this embodiment includes: a processor 301, a memory 302 and a computer program 303 stored in said memory 302 and executable on said processor 301. The processor 301, when executing the computer program 303, implements the steps in the above-described method embodiments, such as the steps 101 to 104 shown in fig. 1. Alternatively, the processor 301 executes the computer program 303 to realize the functions of the modules/units in the device embodiments, for example, the functions of the communication module 201 and the processing module 202 shown in fig. 2.
Illustratively, the computer program 303 may be partitioned into one or more modules/units, which are stored in the memory 302 and executed by the processor 301 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing certain functions, which are used to describe the execution of the computer program 303 in the electronic device 300. For example, the computer program 303 may be divided into the communication module 201 and the processing module 202 shown in fig. 2.
The Processor 301 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 302 may be an internal storage unit of the electronic device 300, such as a hard disk or a memory of the electronic device 300. The memory 302 may also be an external storage device of the electronic device 300, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device 300. Further, the memory 302 may also include both an internal storage unit and an external storage device of the electronic device 300. The memory 302 is used for storing the computer programs and other programs and data required by the terminal. The memory 302 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the technical solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal and method may be implemented in other ways. For example, the above-described apparatus/terminal embodiments are merely illustrative, and for example, the division of the modules or units is only one type of logical function division, and other division manners may exist in actual implementation, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments described above may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U.S. disk, removable hard disk, magnetic diskette, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signal, telecommunications signal, and software distribution medium, etc.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A power transmission line path optimization line selection method based on multi-source remote sensing data is characterized by comprising the following steps:
obtaining multidimensional data of a region where a path of a power transmission line passes, wherein the multidimensional data comprise: satellite remote sensing data, oblique photography data and laser point cloud data;
determining an initial path of the power transmission line and tower pole information in the initial path based on the satellite remote sensing data and the oblique photography data; the tower pole information comprises tangent tower information and corner tower information;
calculating path parameters of the initial path based on the laser point cloud data and tower pole information in the initial path, wherein the path parameters comprise three-line section information, cross spanning information, construction feasibility information, ground verification information, line windage yaw information and erection cost information;
and fine-tuning the tower pole in the initial path, recalculating the path parameters of the path after fine tuning, and determining final path information based on the initial path information and the path parameters of the path after fine tuning.
2. The method for optimizing line selection according to claim 1, wherein the determining of the initial path of the transmission line and the tower information in the initial path based on the satellite remote sensing data and the oblique photography data comprises:
determining a plurality of paths between the starting point and the end point of the power transmission line based on the satellite remote sensing data and the oblique photography data;
calculating erection cost, a barrier influence degree coefficient and an erection difficulty coefficient of each path, wherein the erection cost comprises material cost, construction cost and removal cost, the barrier influence degree coefficient is used for representing the influence degree of barriers in the path on the path erection, and the erection difficulty coefficient is used for representing the construction difficulty degree;
selecting one path from the multiple paths as an initial path based on the erection cost, the obstacle influence degree coefficient and the erection difficulty coefficient, and determining tower pole information in the initial path.
3. The method for optimizing line selection according to claim 2, wherein the determining a plurality of paths between the starting point and the end point of the power transmission line based on the satellite remote sensing data and the oblique photography data comprises:
performing aerial triangulation calculation based on the satellite remote sensing data to obtain a DOM (document object model), a DEM (digital elevation model) and a stereopair model;
based on the oblique photography data, performing exterior orientation element calculation, aerial triangulation calculation and model reconstruction editing to obtain a three-dimensional model;
and performing initial route selection between the starting point and the end point of the power transmission line based on the DOM model, the DEM model, the stereopair model and the three-dimensional model to obtain a plurality of routes.
4. The method of claim 3, wherein the determining tower information in the initial path comprises:
determining a corner point in the initial path as the position of a corner tower in the initial path;
determining the position of a tangent tower in the initial path based on the obstacle information of the area where the initial path is located; the obstacle information includes the kind and position of the obstacle;
determining the type of the tangent tower and the type of the corner tower in the initial path based on the erection cost and the erection difficulty of the initial path.
5. The method of claim 1, wherein the calculating path parameters of the initial path based on the laser point cloud data and the tower information in the initial path comprises:
calibrating tower pole information in the initial path based on the laser point cloud data; calculating the three-line section information based on the calibrated tower pole information;
determining the elevation information of the obstacle and the elevation information of the tower pole in the initial path based on the laser point cloud data and the calibrated tower pole information; determining the cross-over information based on the elevation information of the obstacles in the initial path, the elevation information of the tower pole and the three-line section information;
determining the construction environment and the construction difficulty of the tangent tower and the angle tower based on the calibrated tower pole information; determining the construction feasibility information based on the construction environment and the construction difficulty;
determining an erection model of the power cable based on the calibrated tower pole information; determining a ground distance of the power cable and ground verification information based on the type, position and elevation information of the obstacle and an erection model of the power cable;
calculating the windage yaw distance of the power cable based on the erection model of the power cable; and determining line windage yaw information based on the windage yaw distance.
6. The method according to claim 1, wherein the fine-tuning the tower in the initial path, recalculating the path parameters of the fine-tuned path, and determining the final path information based on the initial path information and the path parameters of the fine-tuned path comprises:
weighting and summing the values of all path parameters of the initial path and the weight values corresponding to all path parameters to obtain an evaluation coefficient of the initial path;
carrying out weighted summation based on the values of the path parameters of the path after fine tuning and the weighted values corresponding to the path parameters to obtain the evaluation coefficient of the path after fine tuning;
and finely adjusting the tower pole in the initial path until the minimum value of the evaluation coefficient is determined, determining the tangent tower position and the corner tower position corresponding to the minimum value of the evaluation coefficient, and determining final path information.
7. The method for optimizing route selection according to claim 1 or 6, wherein the fine tuning of the tower pole in the initial path comprises:
determining the path parameter with the maximum product of the value and the weight value in each path parameter;
determining the direction of decreasing product of the value and the weight value in the path parameter;
and finely adjusting the position of the tower rod towards the direction.
8. The utility model provides a transmission line route optimization route selection device based on multisource remote sensing data which characterized in that includes:
the communication module is used for acquiring multidimensional data of an area where a path of the power transmission line passes, and the multidimensional data comprise: satellite remote sensing data, oblique photography data and laser point cloud data;
the processing module is used for determining an initial path of the power transmission line and tower information in the initial path based on the satellite remote sensing data and the oblique photography data; the tower pole information comprises tangent tower information and corner tower information;
the processing module is further used for calculating path parameters of the initial path based on the laser point cloud data and tower pole information in the initial path, wherein the path parameters comprise three-line section information, cross spanning information, construction feasibility information, ground verification information, line windage yaw information and erection cost information;
the processing module is further configured to perform fine adjustment on the tower pole in the initial path, recalculate the path parameters of the path after the fine adjustment, and determine final path information based on the initial path information and the path parameters of the path after the fine adjustment.
9. An electronic device, comprising a memory storing a computer program and a processor for invoking and executing the computer program stored in the memory to perform the method of any one of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116305766A (en) * | 2022-12-30 | 2023-06-23 | 北京华大九天科技股份有限公司 | Modeling method for transmission line simulation and circuit simulation system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107688818A (en) * | 2016-08-05 | 2018-02-13 | 中国电力科学研究院 | A kind of path intelligent selecting method and system based on satellite remote-sensing image signature analysis |
| CN109238242A (en) * | 2017-07-10 | 2019-01-18 | 北京正能空间信息技术有限公司 | Transmission line of electricity path optimization route selection based on three-dimensional large scene |
| CN111899332A (en) * | 2020-06-29 | 2020-11-06 | 国网辽宁省电力有限公司建设分公司 | Overhead transmission line three-dimensional design method based on oblique photogrammetry technology |
-
2022
- 2022-07-29 CN CN202210908054.2A patent/CN115455616B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107688818A (en) * | 2016-08-05 | 2018-02-13 | 中国电力科学研究院 | A kind of path intelligent selecting method and system based on satellite remote-sensing image signature analysis |
| CN109238242A (en) * | 2017-07-10 | 2019-01-18 | 北京正能空间信息技术有限公司 | Transmission line of electricity path optimization route selection based on three-dimensional large scene |
| CN111899332A (en) * | 2020-06-29 | 2020-11-06 | 国网辽宁省电力有限公司建设分公司 | Overhead transmission line three-dimensional design method based on oblique photogrammetry technology |
Non-Patent Citations (3)
| Title |
|---|
| WEI LI等: "A Preferred Method Research of Transmission Line Route Based on Intelligent Image Recognition", 《2022 5TH INTERNATIONAL CONFERENCE ON ENERGY, ELECTRICAL AND POWER ENGINEERING (CEEPE)》 * |
| 孙宏: "基于GIS技术的超高压送电线路路径优化 ————以乌海500kV变电站至乌海北500kV变电站送电线路为例", 《中国优秀硕士学位论文全文数据库 (基础科学辑)》 * |
| 翁永玲;范兴旺;胡伍生;张惠均;: "多源遥感数据及GIS技术在输电线路径优选中的应用研究", 东南大学学报(自然科学版) * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116305766A (en) * | 2022-12-30 | 2023-06-23 | 北京华大九天科技股份有限公司 | Modeling method for transmission line simulation and circuit simulation system |
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