A method for physical acceptance of transmission projects based on the Cesium platform

Abstract

The present invention provides a method for physical acceptance of transmission projects based on the Cesium platform, belonging to the field of transmission and substation project construction. With the goal of improving the means of physical acceptance of transmission projects, the GIM power grid information model of the transmission project is imported into the Cesium geographic information platform as the design standard data; a three-dimensional laser scanner is used to scan the construction site of the transmission project to obtain laser point cloud data, and after processing in units of span, a laser point cloud model of the transmission project is established; then the entire line of the GIM model of the transmission project is traversed to find the GIM model that matches each laser point cloud model; points are manually selected in the point cloud data to measure various parameters to be accepted, and compared with the standard values to obtain construction errors. The present invention has the advantages of high automation, no need for on-site measurement by staff, and a wide variety of acceptance items, reducing the workload of acceptance personnel to a certain extent and effectively improving the quality and efficiency of the acceptance work of transmission projects.

Description

Technical Field

[0001] The present invention belongs to the field of transmission and transformation project construction, and particularly relates to a method for physical acceptance of transmission projects based on the Cesium platform. Background Art

[0002] With the increasing scale of transmission line construction in China year by year, a large number of power transmission project completion acceptance works are inevitably faced. However, there are still many deficiencies in the current acceptance work. For example, the acceptance of key projects such as the upper part of the iron tower, conductors, ground wires, and accessory fittings all need to be completed by means of high-altitude operation or telescopes. This method not only has safety risks, but also the authenticity of the data is questionable. Moreover, the work form is mainly based on 2D drawings, but 2D drawings are not conducive to the staff's spatial imagination. Some researchers have counted that 60% of construction errors come from the staff's misunderstanding of construction drawings. Therefore, it is urgent to introduce new methods and new technologies to improve the current situation of physical acceptance of transmission projects. Summary of the Invention

[0003] In order to overcome the deficiencies of the above-mentioned prior art, the present invention provides a method for physical acceptance of transmission projects based on the Cesium platform.

[0004] In order to achieve the above object, the present invention provides the following technical solutions:

[0005] A method for physical acceptance of transmission projects based on the Cesium platform includes the following steps:

[0006] Based on the positions of each power equipment in the transmission project to be detected, import the GIM grid information model of each power equipment into the Cesium platform to generate a GIM model of the transmission project;

[0007] Obtain the laser point cloud data of each power equipment in the transmission project to be detected in units of span, and generate a laser point cloud model by using the laser point cloud data of each power equipment in the transmission project to be detected;

[0008] Taking the difference between the heights and horizontal distances of two towers in each span as the judgment basis, traverse each span in the GIM model of the transmission project to realize the matching of the laser point cloud model and the GIM model of the transmission project;

[0009] Import the matched laser point cloud model into the Cesium platform to obtain the measured values of the acceptance parameters of the transmission project to be detected, and combine the transmission project acceptance specifications to judge the construction quality of the transmission project to be accepted.

[0010] Preferably, the step of generating the GIM model of the transmission project is as follows:

[0011] Traverse the entry file, CBM file, FAM file, DEV file, and PHM file in the GIM model step by step to obtain the longitude and latitude, altitude, and transformation matrix information of each power equipment;

[0012] Based on the longitude and latitude, altitude, and transformation matrix information of each power equipment, import the GIM model of each power equipment into the Cesium platform to generate the GIM model of the transmission project.

[0013] Preferably, when reading the PHM file, if the pointed file of the PHM file is an STL file:

[0014] Read the vertex coordinate data of each triangular face of each power equipment in the STL file, and save the data as a glTF file with the triangular face as the data unit.

[0015] Preferably, the data rendering method in the glTF file is TRIANGLES.

[0016] Preferably, when reading the PHM file, if the pointed file of the PHM file is a MOD file:

[0017] Read the node coordinate information of each power equipment and the connection relationship between each node in the MOD file, and save each node as a data unit as a glTF file according to the connection relationship.

[0018] Preferably, the data rendering method in the glTF file is LINES.

[0019] Preferably, the steps of generating a lidar point cloud model using the lidar point cloud data of each power equipment in the transmission project to be detected include:

[0020] Segment the lidar point cloud data of the transmission project in units of span, and save the lidar point cloud data of each span as a LAS file;

[0021] Filter out the ground feature points according to the classification number information in each LAS file;

[0022] For each LAS file after filtering out the ground feature points, classify the tower point cloud data and power line point cloud data based on the feature that the tower point cloud data in the elevation direction changes the most, and all the classified LAS files form the lidar point cloud model.

[0023] Preferably, the steps of obtaining the height and horizontal distance of two towers corresponding to the lidar point cloud model of each span of the transmission project include:

[0024] Calculate the height of the two towers respectively according to the point cloud data of each tower in the lidar point cloud model of the transmission project,

[0025]

[0026] Wherein, TH is the height of the pole tower, is the maximum value of the pole tower point cloud data in the Z-axis direction, is the minimum value of the pole tower point cloud data in the Z-axis direction;

[0027] Calculate the horizontal distance DIS between two pole towers according to the point cloud data of the two pole towers,

[0028]

[0029] Wherein, is the mean value of all coordinate points of the point cloud data of one pole tower in the X-axis direction, is the mean value of all coordinate points of the point cloud data of one pole tower in the Y-axis direction, is the mean value of all coordinate points of the point cloud data of the other pole tower in the X-axis direction, is the mean value of all coordinate points of the point cloud data of the other pole tower in the Y-axis direction.

[0030] Preferably, the step of importing the matched laser point cloud model into the Cesium platform includes:

[0031] Obtain the longitude, latitude and altitude data of the two pole towers in the corresponding span GIM model;

[0032] Calculate the longitude, latitude and altitude data of the center point of each span through the longitude, latitude and altitude data of the two pole towers in each span,

[0033]

[0034]

[0035]

[0036] Wherein, J0 is the longitude of the center point, J1 is the longitude of one pole tower, J2 is the longitude of the other pole tower, W0 is the latitude of the center point, W1 is the latitude of one pole tower, W2 is the latitude of the other pole tower, H0 is the altitude of the center point, H1 is the altitude of one pole tower, and H2 is the altitude of the other pole tower;

[0037] Taking the center point of each span as the coordinate origin, calculate the plane coordinates of the two pole towers in each span by using the Miller projection method;

[0038] Perform de-mean processing on the point cloud data of this span;

[0039] Calculate the plane coordinates of the two pole towers in the laser point cloud data;

[0040] Obtain the rotation matrix according to the corresponding relationship between the plane coordinates of two poles and towers in the GIM model and the plane coordinates of two poles and towers in the laser point cloud;

[0041] Perform the corresponding rotation matrix transformation on the laser point cloud data, and generate a pnts file with the center point of the laser point cloud data as the origin coordinate; wherein, the information recorded in the pnts file includes: the three-dimensional coordinates of each point and the classification information;

[0042] Import the pnts file into the Cesium platform.

[0043] The transmission project physical acceptance method based on the Cesium platform provided by the present invention has the following beneficial effects: The present invention provides a transmission project physical acceptance method, which simultaneously imports the three-dimensional laser point cloud data of the transmission project and the GIM design model into the Cesium three-dimensional geographical environment, and obtains the measurement results of various acceptance parameters from the laser point cloud data. Combining the "Code for Construction and Acceptance of 110kV - 750kV Overhead Transmission Lines" in China and the GIM design data, the construction quality of current various power equipment is learned, and to a certain extent, the deficiencies such as high operation intensity and easy error in the existing acceptance methods are improved. The present invention has the advantages of visualization and standardization, effectively improves the quality of transmission project construction, provides guarantee for the "zero defect" operation of the transmission project, and has good application prospects. Description of the Drawings

[0044] In order to more clearly illustrate the embodiments of the present invention and its design scheme, the accompanying drawings required for this embodiment will be briefly introduced below. The accompanying drawings in the following description are only partial embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0045] Figure 1 It is the flowchart of the transmission project acceptance method based on the Cesium platform in Embodiment 1 of the present invention;

[0046] Figure 2 It is the flowchart of the GIM model parsing algorithm in Embodiment 1 of the present invention;

[0047] Figure 3 It is an example diagram of the transmission project laser point cloud data in Embodiment 1 of the present invention;

[0048] Figure 4 It is an example diagram of the sag measurement of the transmission project in Embodiment 1 of the present invention. Detailed Embodiments

[0049] To enable those skilled in the art to better understand the technical solution of the present invention and be able to implement it, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. The following embodiments are only used to more clearly illustrate the technical solution of the present invention and should not be used to limit the protection scope of the present invention.

[0050] Embodiment 1

[0051] Refer to Figure 1 , a method for physical acceptance of a transmission project based on the Cesium platform, comprising the following steps: Based on the positions of each power equipment in the transmission project to be detected, import the GIM grid information model of each power equipment into the Cesium platform to generate a transmission project GIM model; Obtain the laser point cloud data of each power equipment in the transmission project to be detected in units of span, and generate a laser point cloud model using the laser point cloud data of each power equipment in the transmission project to be detected; Based on the difference between the heights and horizontal distances of two towers in each span, traverse each span in the transmission project GIM model to achieve the matching of the laser point cloud model and the transmission project GIM model; Import the matched laser point cloud model into the Cesium platform to obtain the measured values of the acceptance parameters of the transmission project to be detected, and combine the transmission project acceptance specifications to judge the construction quality of the transmission project to be accepted.

[0052] In this embodiment, the steps of generating the transmission project GIM model are as follows: Traverse the entry file, CBM file, FAM file, DEV file, and PHM file in the GIM model level by level to obtain the longitude, latitude, altitude, and transformation matrix information of each power equipment; Based on the longitude, latitude, altitude, and transformation matrix information of each power equipment, import the GIM model of each power equipment into the Cesium platform to generate a transmission project GIM model. When reading the PHM file, if the pointing file of the PHM file is an STL file, read the vertex coordinate data of each triangular face of each power equipment in the STL file, and save the data as a glTF file with the triangular face as the data unit, and set the data rendering mode in the glTF file in this form to TRIANGLES. When reading the PHM file, if the pointing file of the PHM file is a MOD file, read the node coordinate information of each power equipment and the connection relationship between each node in the MOD file, and save each node as a data unit according to the connection relationship as a glTF file, and set the data rendering mode in the glTF file in this form to LINES.

[0053] In this embodiment, the steps of generating a laser point cloud model using the laser point cloud data of the power transmission project to be detected include: segmenting the laser point cloud data of the power transmission project in units of span, and saving the laser point cloud data of each span as a LAS file; filtering out the ground object points according to the classification number information in each LAS file; for each LAS file after filtering out the ground object points, classifying the tower pole point cloud data and the power line point cloud data based on the feature that the change of the laser point cloud data of the tower pole in the elevation direction is the largest, and all the classified LAS files constitute the laser point cloud model.

[0054] In this embodiment, the steps of realizing the matching between the laser point cloud model and the GIM model of the power transmission project include:

[0055] Calculating the heights TH1 and TH2 of two tower poles and the horizontal distance DIS between the two tower poles in the point cloud data of this span. The calculation formula for the tower pole height in the point cloud data is as follows:

[0056]

[0057] In the formula, TH is the height of the tower pole, is the maximum value of the tower pole point cloud data in the Z-axis direction, is the minimum value of the tower pole point cloud data in the Z-axis direction.

[0058] The calculation formula for the horizontal distance DIS between two tower poles in the point cloud data is as follows:

[0059]

[0060] In the formula, is the mean value of all coordinate points of the point cloud data of one tower pole in the X-axis direction, is the mean value of all coordinate points of the point cloud data of one tower pole in the Y-axis direction, is the mean value of all coordinate points of the point cloud data of the other tower pole in the X-axis direction, is the mean value of all coordinate points of the point cloud data of the other tower pole in the Y-axis direction.

[0061] Reading the GIM model in units of span in sequence until the entire power transmission line is traversed, obtaining the heights G_TH1 and G_TH2 of two tower poles and the horizontal distance G_DIS between the two tower poles in each span. If the differences between TH1 and G_TH1, TH2 and G_TH2, and DIS and G_DIS are less than the set threshold, the two models are successfully matched, and the size of the threshold is determined by the scanning accuracy of the laser scanner.

[0062] Further, the steps of importing the matched laser point cloud model into the Cesium platform include: obtaining the longitude, latitude, and altitude data of two towers in the corresponding pitch GIM model. Calculating the longitude, latitude, and altitude data of the center point of each pitch through the longitude, latitude, and altitude data of the two towers in each pitch.

[0063]

[0064]

[0065]

[0066] In the formula, J0 is the longitude of the center point, J1 is the longitude of one tower, J2 is the longitude of the other tower, W0 is the latitude of the center point, W1 is the latitude of one tower, W2 is the latitude of the other tower, H0 is the altitude of the center point, H1 is the altitude of one tower, and H2 is the altitude of the other tower. Taking the center point of each pitch as the coordinate origin, the plane coordinates of the two towers in each pitch are calculated using the Miller projection method. The mean value of the laser point cloud data of this pitch is removed. Calculate the plane coordinates of the two towers in the laser point cloud data. Obtain the rotation matrix according to the correspondence between the plane coordinates of the two towers in the GIM model and the plane coordinates of the two towers in the laser point cloud. Perform the corresponding rotation matrix transformation on the laser point cloud data, generate a pnts file with the center point of the laser point cloud data as the origin coordinate, and import the pnts file into the Cesium platform.

[0067] In this embodiment, the steps of judging the construction quality of the power transmission project to be accepted according to the measured values of the acceptance parameters include: importing the "Code for Construction and Acceptance of 110kV - 750kV Overhead Transmission Lines" of our country to obtain the items of parameters to be accepted; manually selecting points in the laser point cloud data of each pitch of the power transmission project to measure each parameter to be accepted as the measured value; calling out the parameters of each power equipment in the GIM model matched with the laser point cloud data as the design standard value; calculating the error between the measured value and the design standard value, and judging whether the error is within the allowable range according to the "Code for Construction and Acceptance of 110kV - 750kV Overhead Transmission Lines" of our country. If it is within the allowable range, the construction of this power facility meets the requirements; highlight the GIM models of the power equipment with unqualified construction, and generate an acceptance report according to the acceptance results.

[0068] Taking the completion acceptance of the Qizhuang - Yinghu 220kV line project in Suqian City, Jiangsu Province as an example, the implementation process of the present invention will be described in detail below.

[0069] (1) Based on the positions of various power equipment in the transmission project, import the GIM models (Grid Information Model) of each power equipment into the Cesium platform to generate the transmission project GIM model. The specific steps are as follows: Among them, read the GIM model of the Qizhuang - Yinghu 220kV line project, and traverse the CBM files, FAM files, DEV files, and PHM files in the transmission project GIM model step by step in the order of first - level full - line, second - level section, third - level system, and fourth - level equipment group to obtain the longitude and latitude, altitude, and transformation matrix information of each power equipment. The specific implementation process is as Figure 2 shown; and sequentially convert the STL file or MOD file pointed to by the PHM file into a glTF file and import it into the Cesium platform to construct a complete visualization model of the transmission project GIM.

[0070] (2) Obtain the laser point cloud data of the transmission project in units of span, and generate a laser point cloud model using the laser point cloud data of the transmission project. Use a ground - type or airborne three - dimensional laser scanner to scan and obtain the laser point cloud data of the Qizhuang - Yinghu 220kV line project. During scanning, keep the Z - axis direction of the laser scanner consistent with the plumb direction, and segment the point cloud in units of span, and save the point cloud data of each span as the LAS format; process the laser point cloud data of one - span transmission project. Filter out the ground feature points in the laser point cloud data of the transmission project according to the classification number information in the LAS file. The ground point classification number is 2, and the classification numbers of vegetation points and building points are 3 - 9 (in this invention, the points with classification numbers 2 - 9 are filtered out); classify the tower pole point cloud and the power line point cloud according to the characteristic that the tower pole point cloud changes greatly in the elevation direction, and save each tower pole and each section of the power line point cloud as a LAS file respectively. Among them, the tower pole point cloud is saved in red, and the power line point cloud is saved in blue.

[0071] (3) Match the laser point cloud models of each span with the transmission project GIM model by traversing, and import the matched laser point cloud model into the Cesium platform. In this example, take the spans where the second and third tower poles in the Qizhuang - Yinghu 220kV line project are located as an example for calculation. The tower height of tower pole 1 is 41.195m, the tower height of tower pole 2 is 49.8275m, and the horizontal distance between the two tower poles is 303.485m, as Figure 3As shown in the figure. Since a drone-mounted three-dimensional laser scanner is used in this embodiment for scanning, the measurement error of the scanner at 100 m can reach up to 5 cm at most. Additionally, considering the influence of the fluctuations of the drone itself, the threshold is set to ten times this error here, that is, 0.5 m. After matching, only one span in the entire line meets the requirements. The designed tower heights of the two towers in this span are 41.055 m and 49.7 m respectively, and the designed span is 303.521 m, which are exactly the second and third towers in this line project. In this embodiment, the longitude, latitude, and altitude of tower 1 are 33.46329075, 118.27942184, and 15.6 m respectively, and the longitude, latitude, and altitude of tower 2 are 33.46315316, 118.28268946, and 16.3 m respectively. The calculated longitude, latitude, and altitude of the center point O are 33.463221955, 118.28105565, and 15.95 m respectively. Convert the longitude and latitude coordinates in the GIM model of this span to plane coordinates, that is, taking the center point O as the coordinate origin, and using the Miller projection method to calculate the plane coordinates of tower 1 and tower 2 as G1(-151.44 m, 9.8 m, 0 m) and G2(151.44 m, -9.8 m, 0 m). The calculated center point coordinates of the two towers in the point cloud P are L1(-148.44 m, 31.5 m, 0 m) and L2(148.44 m, -31.5 m, 0 m). The rotation matrix T can be calculated from the corresponding relationships between L1 and G1, and L2 and G2. Perform the transformation of matrix T on the point cloud P to obtain the point cloud P'. Finally, taking point O as the center point, generate the pnts file supported by the Cesium platform for the point cloud P'. The information recorded in the pnts file includes: the three-dimensional coordinates of each point and the classification information.

[0072] (4) Measure the parameters to be accepted, and in combination with the acceptance specifications of transmission projects in our country, judge the construction quality of the transmission project to be accepted according to the measured values of the acceptance parameters. Manually select points in the laser point cloud data of the transmission project to measure various acceptance parameters as the measured value m. The acceptance parameters include tower height, call height, tower inclination, and sag, etc., as Figure 4 The schematic diagram of sag measurement of the conductor is shown as follows. Taking the sag measurement as an example, the sag acceptance results generated according to the sag measurement results within the current span are shown in Table 1.

[0073] Table 1 Sag acceptance results

[0074]

[0075] The above embodiments are only preferred specific implementation manners of the present invention, and the protection scope of the present invention is not limited thereto. Any simple changes or equivalent replacements of the technical solutions that can be obviously obtained by those skilled in the art within the technical scope disclosed by the present invention all belong to the protection scope of the present invention.

Claims

1. A method for physical acceptance of a power transmission project based on the Cesium platform, characterized in that, The steps include: Based on the positions of each power equipment in the transmission project to be detected, import the GIM grid information model of each power equipment into the Cesium platform to generate a transmission project GIM model; Obtain the laser point cloud data of each power equipment in the transmission project to be detected in units of span, and generate a laser point cloud model using the laser point cloud data of each power equipment in the transmission project to be detected; Based on the difference between the heights and horizontal distances of two towers in each span, traverse each span in the transmission project GIM model to achieve the matching of the laser point cloud model and the transmission project GIM model; Obtain the longitude, latitude and altitude data of two towers in the GIM model of the corresponding span; Calculate the longitude, latitude and altitude data of the center point of each span through the longitude, latitude and altitude data of two towers in each span; Taking the center point of each span as the coordinate origin, use the Miller projection method to calculate the plane coordinates of two towers in each span; perform de-mean processing on the laser point cloud data of this span; calculate the plane coordinates of two towers in the laser point cloud data; Obtain the rotation matrix according to the corresponding relationship between the plane coordinates of two towers in the GIM model and the plane coordinates of two towers in the laser point cloud; Perform the corresponding rotation matrix transformation on the laser point cloud data, and generate a pnts file with the center point of the laser point cloud data as the origin coordinate; among them, the information recorded in the pnts file includes: the three-dimensional coordinates and classification information of each point; Import the pnts file into the Cesium platform to obtain the measured values of the acceptance parameters of the transmission project to be detected, and combine with the transmission project acceptance specifications to judge the construction quality of the transmission project to be accepted.

2. The on-site acceptance method for transmission projects based on the Cesium platform according to claim 1, characterized in that The steps of generating the transmission project GIM model are as follows: Traverse the entry file, CBM file, FAM file, DEV file and PHM file in the GIM model level by level to obtain the longitude, latitude, altitude and transformation matrix information of each power equipment; Based on the longitude, latitude, altitude and transformation matrix information of each power equipment, import the GIM model of each power equipment into the Cesium platform to generate a transmission project GIM model.

3. The method for physical acceptance of a power transmission project based on the Cesium platform according to claim 2, wherein When reading the PHM file, if the pointing file of the PHM file is an STL file: Read the vertex coordinate data of each triangular face of each power equipment in the STL file, and save the data as a glTF file with the triangular face as the data unit.

4. The method for physical acceptance of a power transmission project based on the Cesium platform according to claim 3, wherein, The data rendering method in the glTF file is TRIANGLES.

5. The method for physical acceptance of transmission projects based on the Cesium platform according to claim 2, characterized in that, When reading the PHM file, if the pointing file of the PHM file is a MOD file: Read the node coordinate information of each power equipment and the connection relationship between each node in the MOD file, and save each node as a data unit as a glTF file according to the connection relationship.

6. The method for physical acceptance of a power transmission project based on the Cesium platform according to claim 5, wherein The data rendering method in the glTF file is LINES.

7. The method for physical acceptance of a power transmission project based on the Cesium platform according to claim 1, wherein The steps of generating a laser point cloud model using the laser point cloud data of each power equipment in the transmission project to be detected include: Segment the laser point cloud data of the transmission project in units of span, and save the laser point cloud data of each span as a LAS file; Filter out the ground feature points according to the classification number information in each LAS file; For each LAS file with ground points filtered out, based on the feature with the largest change in the elevation direction of the laser point cloud data of the tower poles, classify the tower pole point cloud data and the power line point cloud data therein. All the classified LAS files form a laser point cloud model.

8. The method for physical acceptance of a power transmission project based on the Cesium platform according to claim 1, wherein The steps for obtaining the heights and horizontal distances of two tower poles corresponding to the laser point cloud model of each span of the transmission project include: Calculate the heights of the two tower poles respectively according to the point cloud data of each tower pole in the laser point cloud model of the transmission project. where TH is the height of the pole tower, is the maximum value of the pole tower point cloud data in the Z-axis direction, is the minimum value of the pole tower point cloud data in the Z-axis direction; Calculate the horizontal distance DIS between the two tower poles according to the point cloud data of the two tower poles. Wherein, is the mean value of all coordinate points in the X-axis direction in the point cloud data of a tower, is the mean value of all coordinate points in the Y-axis direction in the point cloud data of a tower, is the mean value of all coordinate points in the X-axis direction in the point cloud data of another tower, is the mean value of all coordinate points in the Y-axis direction in the point cloud data of another tower.

9. The method for physical acceptance of a power transmission project based on the Cesium platform according to claim 1, wherein The method for calculating the longitude, latitude and altitude data of the center point of each span through the longitude, latitude and altitude data of two tower poles in each span includes: In the formula, J0 is the longitude of the center point, J1 is the longitude of one tower pole, J2 is the longitude of the other tower pole, W0 is the latitude of the center point, W1 is the latitude of one tower pole, W2 is the latitude of the other tower pole, H0 is the altitude of the center point, H1 is the altitude of one tower pole, and H2 is the altitude of the other tower pole.

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