Method and device for automatically measuring parameters of point cloud tower model and computer equipment

Abstract

The invention relates to the technical field of power transmission line measurement, and discloses an automatic parameter measurement method and device for a point cloud tower model, and computer equipment. The method mainly comprises the following steps: acquiring point cloud information and index information of the power transmission line, wherein the index information comprises tower number information of the power transmission line and longitude and latitude positions of each tower; a target tower is selected, a reference plane is generated according to the index information, and the original point of the reference plane is the longitude and latitude position of the target tower; according to the reference plane, constructing a target three-dimensional bounding box of the target tower; nesting the target three-dimensional bounding box with the initial point cloud data to generate a point cloud model of the target tower; measuring the point cloud model of the target tower according to a preset frame length, and calculating structural parameters of the target tower; and generating a measurement result of the target pole tower according to the structure parameters of the target pole tower, the pole tower number information of the power transmission line and the number.

Description

Technical Field

[0001] The invention relates to the field of transmission line measurement, and in particular to a method for automatically measuring parameters of a point cloud tower model. Background Art

[0002] At present, when calculating the shielding failure and back flashover rate of the line and evaluating the lightning damage risk level of the line, the input of various parameters of the tower structure mainly relies on manual input. The tower engineering documents are used as reference materials, combined with CAD drawings and plane drawings, to find the tower type and its corresponding number, and record the tower structure parameter information in a table. However, this method of obtaining tower parameters is traditional and needs to be filled in manually. Not only is the workload large, but it is also inevitable that there will be omissions. If parameter compliance detection and correction are performed, the workload will be further increased, thereby greatly reducing Work efficiency is affected by factors such as sag, tower type, conductor arrangement, jumper, etc. The line structure at different positions inside the actual tower span is constantly changing, and parameters such as the lightning protection angle and the height difference of the ground conductor are also changing accordingly. The tower structure size is an important factor that causes differences in the shielding effect and shielding risk of the lightning conductor, and is the basis for simulation modeling. If parameters such as tower height and conductor center distance are reported incorrectly, the calculated result of the lightning trip rate will deviate greatly from the actual value, thereby causing an error in the calculated result of the lightning trip rate and affecting the final evaluation result.

[0003] Therefore, in order to more accurately evaluate the risk level of lightning damage to towers, it is necessary to propose a more efficient and accurate method for obtaining tower structural parameters in order to address the problems of easy errors in input of tower structural parameters, low input and output efficiency, and inaccurate data. This method can improve the measurement accuracy and efficiency of tower structural parameters, make the calculation of the lightning resistance level of the line and the assessment of the lightning damage risk level more accurate, and provide more reliable guidance for the lightning protection design of the line. Summary of the invention

[0004] The purpose of the present invention is to provide a method for automatically measuring parameters of a point cloud tower model, aiming to solve the problem of inefficiency in manual measurement of tower structure parameters in the prior art.

[0005] The present invention is implemented in this way. In a first aspect, the present invention provides a method for automatically measuring parameters of a point cloud tower model, comprising:

[0006] Acquire point cloud information and index information of the transmission line, wherein the index information includes tower number information of the transmission line and the longitude and latitude positions of each tower;

[0007] Selecting a target pole tower, and generating a reference plane according to the index information, wherein the origin of the reference plane is the longitude and latitude position of the target pole tower;

[0008] According to the reference plane, construct a target three-dimensional bounding box of the target tower;

[0009] Nesting the target three-dimensional bounding box with the initial point cloud data to generate a point cloud model of the target tower;

[0010] Measuring the point cloud model of the target tower according to a preset frame length, and calculating the structural parameters of the target tower;

[0011] The measurement result of the target tower is generated by numbering according to the structural parameters of the target tower and the tower numbering information of the transmission line.

[0012] Optionally, the point cloud information of the transmission line includes at least insulator point cloud data and tower point cloud data of the transmission line.

[0013] Optionally, the selecting a target tower and generating a reference plane according to the index information includes:

[0014] Selecting a target tower, and confirming the longitude and latitude positions of the front and rear towers adjacent to the target tower number according to the index information;

[0015] A reference plane is constructed according to the angle bisector of the line connecting the front and rear towers.

[0016] Optionally, measuring the point cloud model of the target tower according to a preset frame length to calculate the structural parameters of the target tower includes:

[0017] According to preset density parameters, the target three-dimensional bounding box is nested with the point cloud model of the target tower to generate a target grid model;

[0018] The structural parameters of the target grid model are measured according to the preset border length.

[0019] Optionally, the method further comprises:

[0020] The precision parameter of the target tower is obtained, and the preset density parameter is set according to the precision parameter.

[0021] Optionally, the method further comprises: generating a tower structure parameter table of the transmission line according to measurement results of the plurality of target towers.

[0022] Optionally, the obtaining the accuracy parameter of the target tower includes:

[0023] Selecting a continuous point cloud space in the point cloud model of the target tower as a reference space, wherein the point cloud density of the reference space is at least three times the density parameter;

[0024] Calculating the electrical grade of the target tower according to the profile and height of the reference space;

[0025] According to the electrical grade of the target tower, the accuracy parameter of the target tower is set.

[0026] A second aspect of the present invention provides an automatic parameter measurement device for a point cloud tower model, comprising:

[0027] An acquisition unit, used to acquire point cloud information and index information of a transmission line, wherein the index information includes tower number information of the transmission line and longitude and latitude positions of each tower;

[0028] A selection unit, used for selecting a target pole tower and generating a reference plane according to the index information, wherein the origin of the reference plane is the longitude and latitude position of the target pole tower;

[0029] A construction unit, used for constructing a target three-dimensional bounding box of a target tower according to the reference plane;

[0030] A generating unit, used for nesting the target three-dimensional bounding box with the initial point cloud data to generate a point cloud model of the target tower;

[0031] A calculation unit, used to measure the point cloud model of the target tower according to a preset frame length, and calculate the structural parameters of the target tower;

[0032] The measuring unit is used to generate the measurement result of the target tower by numbering according to the structural parameters of the target tower and the tower numbering information of the transmission line.

[0033] The third aspect of the present invention provides a computer device, comprising: a processor and a memory; the processor is connected to the memory; the processor executes any one of the automatic parameter measurement methods of the point cloud tower model as described in the first aspect above stored in the memory.

[0034] Compared with the prior art, the present invention uses the index information of the transmission line to index and parse the complex point cloud tower model in two-dimensional space, and then maps the point cloud information to the index space corresponding to each tower for three-dimensional modeling and measurement, which simplifies the measurement process of the tower structural parameters in the transmission line and quickly obtains the measurement results of each tower, so that engineers from different work sections and teams can quickly check the measurement data of the tower with the corresponding number. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a flow chart of a method for automatically measuring parameters of a point cloud tower model provided by an embodiment of the present invention;

[0036] Figure 2It is a flow chart of a method for automatically measuring parameters of a point cloud tower model provided by another embodiment of the present invention;

[0037] Figure 3 It is a flow chart of a method for automatically measuring parameters of a point cloud tower model provided by another embodiment of the present invention;

[0038] Figure 4 It is a structural schematic diagram of a parameter automatic measurement device for a point cloud tower model provided by an embodiment of the present invention;

[0039] Figure 5 It is a structural schematic diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0041] The same or similar numbers in the drawings of this embodiment correspond to the same or similar parts; in the description of the present invention, it should be understood that if the terms "upper", "lower", "left", "right" and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, it is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction. Therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes and cannot be understood as limitations on this patent. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0042] The implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0043] Figure 1 This is a preferred embodiment of the method for automatically measuring parameters of a point cloud tower model of the present invention, and the embodiment mainly includes the following steps:

[0044] 101. Obtaining point cloud information and index information of a transmission line, wherein the index information includes tower number information of the transmission line and longitude and latitude positions of each tower;

[0045] The point cloud information of the transmission line is obtained. The point cloud data may be the original point cloud data of the laser radar or the point cloud data after filtering or other preprocessing operations. The point cloud information of the transmission line is obtained by measuring the point cloud information of the entire transmission line, and is not marked or distinguished. In the present invention, the point cloud data of the tower and the point cloud data of the insulator in the point cloud information of the transmission line do not need to be distinguished and can be measured and input together.

[0046] The index information records the longitude and latitude positions of each tower in the transmission line, and has simply numbered each tower in sequence.

[0047] 102. Select a target tower and generate a reference plane according to the index information, wherein the origin of the reference plane is the longitude and latitude position of the target tower;

[0048] Select a target tower from the transmission line, and create a reference plane containing the target tower according to the longitude and latitude of the target tower. The reference plane selects the longitude and latitude of the target tower as the origin so that measurement can be performed around it.

[0049] 103. Construct a target three-dimensional bounding box of the target tower according to the reference plane;

[0050] The reference plane is vertically extended to form a three-dimensional space, and a target three-dimensional bounding box is constructed for nesting with the point cloud data of the target tower. The three-dimensional space may not have a height limit, but in some embodiments, the upper limit may be less than the tower height of the highest voltage level according to the electrical safety regulations of various countries.

[0051] 104. Nesting the target three-dimensional bounding box with the initial point cloud data to generate a point cloud model of the target tower;

[0052] The target three-dimensional bounding box is nested with the original point cloud data to obtain the point cloud model of the target tower. At this time, the point cloud of the target tower falls into the spatial grid of the target three-dimensional bounding box.

[0053] 105. Measure the point cloud model of the target tower according to the preset frame length, and calculate the structural parameters of the target tower;

[0054] Using a neural network, a window space with a preset border length is used to slide vertically or horizontally to calculate the structural parameters of the target tower with a certain step length. The step length depends on the accuracy requirements of the measurement. If not specified, it is usually a default fixed value, preferably 10 cm.

[0055] 106. According to the structural parameters of the target tower and the tower numbering information of the transmission line, the measurement result of the target tower is generated by numbering.

[0056] According to the tower number in the index information, the structural parameters of the target tower measured in step 105 are stored by number. In some embodiments, the measurement result also records the longitude and latitude position of the target tower.

[0057] It can be seen that this method abandons the traditional manual intervention steps and relies on deep learning algorithms and three-dimensional model analysis to realize the automatic matching of laser point cloud information and transmission line structure. The entire process no longer requires human intervention, which significantly improves the measurement accuracy and efficiency. At the same time, it greatly shortens the data processing cycle and provides strong technical support for large-scale transmission line monitoring.

[0058] based on Figure 1 In a specific embodiment of the present invention, a specific method for selecting a reference plane is illustrated. Figure 1 In the embodiment, step 102 specifically includes:

[0059] 1021. Select a target pole tower, and confirm the longitude and latitude positions of the front and rear pole towers adjacent to the target pole tower number according to the index information;

[0060] Select a tower as the target tower in the transmission line, and then find the longitude and latitude positions of the other two towers adjacent to the target tower according to the number from the index information.

[0061] 1022. Construct a reference plane based on the angle bisector of the line connecting the front and rear towers.

[0062] Taking the center point of the target tower as the origin, draw the angular bisector of the line connecting the target tower and the two towers in front and behind as the maximum cross section, and construct a grid plane based on the maximum cross section as the reference plane.

[0063] based on Figure 1 For the example shown, see Figure 2 In another embodiment of the present invention, by integrating the structural parameters of multiple towers, the present invention can calculate the structural parameters of the towers on the entire transmission line separately and then integrate and output them. This embodiment includes:

[0064] 201. Obtaining point cloud information and index information of a transmission line, wherein the index information includes tower number information of the transmission line and longitude and latitude positions of each tower;

[0065] 202. Select a target tower and generate a reference plane according to the index information, wherein the origin of the reference plane is the longitude and latitude position of the target tower;

[0066] 203. Construct a target three-dimensional bounding box of the target tower according to the reference plane;

[0067] 204. Nesting the target three-dimensional bounding box with the initial point cloud data to generate a point cloud model of the target tower;

[0068] 205. Measuring the point cloud model of the target tower according to the preset frame length, and calculating the structural parameters of the target tower;

[0069] 206. Generate measurement results of the target tower by numbering according to the structural parameters of the target tower and the tower numbering information of the transmission line;

[0070] Steps 201 to 306 are similar to the above Figure 1 Steps 101 to 106 of the illustrated embodiment are similar and will not be described in detail here. For details, please refer to the aforementioned embodiment.

[0071] 207. Generate a tower structure parameter table of the transmission line based on the measurement results of multiple target towers.

[0072] According to the above method, after measuring the structural parameters of multiple target towers respectively, the structural parameters of these target towers are stored in a csv format spreadsheet file according to the number, so as to be called in the maintenance of the transmission line, lightning protection transformation and other projects.

[0073] In order to simplify the measurement process and reduce the amount of computing resources occupied, in one embodiment of the present invention, step 205 is also improved based on Figure 2 In some specific implementations, step 205 may include:

[0074] 2051. According to preset density parameters, the target three-dimensional bounding box is nested with the point cloud model of the target tower to generate a target mesh model;

[0075] According to the preset parameter density, the target 3D bounding box is nested with the point cloud model to generate a target grid model corresponding to the target tower.

[0076] 2052. According to the preset border length, measure the structural parameters of the target grid model.

[0077] Using a window space with a preset border length, slide in the vertical or horizontal direction, and measure the parameters of the target grid model with a certain step length as the structural parameters of the target tower. Compared with directly measuring the point cloud model of the target tower, by converting the point cloud model into a grid model for parameter measurement, the regularity of the grid structure can be effectively utilized, data redundancy can be reduced, the amount of calculation can be significantly reduced, and the allocation of computing resources can be optimized.

[0078] Based on the aforementioned Figure 1 and Figure 2 In some embodiments, the present invention can also set the preset density parameter according to the corresponding precision parameter according to different measurement precision requirements. Figure 3 , the embodiment comprises:

[0079] 301. Obtaining point cloud information and index information of a transmission line, wherein the index information includes tower number information of the transmission line and longitude and latitude positions of each tower;

[0080] 302. Select a target tower and generate a reference plane according to the index information, wherein the origin of the reference plane is the longitude and latitude position of the target tower;

[0081] 303. Construct a target three-dimensional bounding box of the target tower according to the reference plane;

[0082] 304. Nesting the target three-dimensional bounding box with the initial point cloud data to generate a point cloud model of the target tower;

[0083] Steps 301 to 304 are similar to the above Figure 1 Steps 201 to 204 of the illustrated embodiment are similar and will not be described in detail here.

[0084] 305. Obtain the accuracy parameters of the target tower, and set the preset density parameters according to the accuracy parameters.

[0085] Obtain the accuracy parameters required for measuring the target tower in order to set the corresponding preset density parameters and reduce the amount of data required to generate the target grid model in the subsequent steps. The accuracy parameter is positively correlated with the preset density parameter. The smaller the accuracy parameter, the smaller the preset density parameter, and the number of points contained in the target grid model will also increase in a power form.

[0086] 306. According to a preset density parameter, the target three-dimensional bounding box is nested with the point cloud model of the target tower to generate a target mesh model;

[0087] 307. According to the preset border length, measure the structural parameters of the target grid model;

[0088] Steps 306 and 307 are the same as above. Figure 2 Steps 2051 and 2052 of the illustrated embodiment are similar and will not be described in detail here.

[0089] 308. According to the structural parameters of the target tower and the tower numbering information of the transmission line, the measurement result of the target tower is generated by numbering.

[0090] 309. Generate a tower structure parameter table of the transmission line based on the measurement results of multiple target towers.

[0091] Steps 308 and 309 are the same as above. Figure 2 Steps 206 and 207 of the illustrated embodiment are similar and will not be described in detail here.

[0092] This method aims to make the final mesh model generated by engineers compatible with other lightning protection software to the greatest extent possible. A larger density parameter is conducive to reducing memory usage and shortening the generation time of the mesh model; while for lines with higher accuracy requirements, a lower density parameter helps the mesh model to more accurately reflect the actual contours of each tower. In specific applications, the setting of accuracy parameters and preset density parameters needs to take into account multiple factors, including the complexity of the measurement environment, the level of detail of the required model, and compatibility with other software systems. A larger preset density parameter means that the node spacing of the mesh model is larger, thereby reducing the number of calculation nodes, which is suitable for application scenarios with relatively low accuracy requirements. For transmission lines that require high-precision measurements, a lower preset density parameter is more suitable. Under low density parameters, the node spacing of the mesh model is reduced, allowing the model to capture more subtle structural details and complex geometric features. This improvement in accuracy helps to improve the realism and accuracy of the tower model, thereby meeting the needs of high-precision lightning protection and other engineering applications.

[0093] Usually, the accuracy parameter is set by the engineers according to the project requirements, and the towers of the entire transmission line are measured according to the same accuracy parameter. However, in some transmission lines, there are towers of various electrical grades, and the measurement accuracy requirements are different. Therefore, based on Figure 3 In the illustrated embodiment, in some specific implementations, step 306 includes:

[0094] 3061. Select a continuous point cloud space in the point cloud model of the target tower as the reference space, and the point cloud density of the reference space is at least 3 times the density parameter;

[0095] Due to the structural characteristics of the tower, the insulators of the tower will be continuously distributed in the point cloud data. In the point cloud model of the target tower, a filter is used to find a continuous point cloud space, and the point cloud space of this space is used as the reference space. This reference space generally contains the point cloud data of the insulators on the target tower.

[0096] 3062. Calculate the electrical grade of the target tower based on the profile and height of the reference space;

[0097] Specifically, using high-precision matching algorithms and pattern recognition technology, the point cloud data in the reference space is compared point by point with the standard insulator model in the database to accurately identify the number of insulators. Subsequently, by analyzing the height information of the reference space and applying a multi-level electrical grade assessment model, the electrical grade corresponding to the target tower is determined. Generally speaking, the more insulators there are and the greater the height of the reference space, the higher the electrical grade.

[0098] 3063. Set the accuracy parameters of the target tower according to the electrical grade of the target tower.

[0099] In combination with pre-set standards, corresponding accuracy parameters are set for different electrical levels.

[0100] Towers with higher electrical grades usually carry higher voltages, and require higher precision for their structures. Therefore, their precision parameters need to be set smaller. This setting method ensures that towers with different electrical grades can be calculated differently according to their electrical grades during the construction of digital models. Through this refined setting, more computing resources can be allocated to towers with complex structures or large line capacities, ensuring high-precision modeling and reliable analysis of these key nodes, thereby improving the operational stability and safety of the entire transmission system.

[0101] See also Figure 4 The present invention also provides a device for automatically measuring parameters of a point cloud tower model, comprising:

[0102] An acquisition unit 401 is used to acquire point cloud information and index information of a transmission line, wherein the index information includes tower number information of the transmission line and the longitude and latitude positions of each tower;

[0103] A selection unit 402 is used to select a target tower and generate a reference plane according to the index information, wherein the origin of the reference plane is the longitude and latitude position of the target tower;

[0104] A construction unit 403 is used to construct a target three-dimensional bounding box of the target tower according to the reference plane;

[0105] A generating unit 404 is used to embed the target three-dimensional bounding box with the initial point cloud data to generate a point cloud model of the target tower;

[0106] The calculation unit 405 is used to measure the point cloud model of the target tower according to the preset frame length and calculate the structural parameters of the target tower;

[0107] The measurement unit 406 is used to generate a measurement result of the target tower according to the structural parameters of the target tower and the tower number information of the transmission line.

[0108] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working process of the automatic parameter measurement device and computer equipment of the point cloud tower model described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here. Figure 5The computer device may include one or more central processing units (CPU) 501 and a memory 505, in which one or more application programs or data are stored. The memory 505 may be a volatile storage or a persistent storage. The program stored in the memory 505 may include one or more modules, and each module may include a series of instruction operations on the business server. Furthermore, the central processor 501 may be configured to communicate with the memory 505 to execute a series of instruction operations in the memory 505 on the computer device. The computer device may also include one or more power supplies 502, one or more wired or wireless network interfaces 503, one or more input and output interfaces 504, and / or one or more operating systems, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc. The central processor 501 may execute the aforementioned Figures 1 to 3 The corresponding operations of any of the illustrated embodiments will not be described in detail here.

[0109] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0110] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0111] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0112] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, read-only memory), random access memory (RAM, random access memory), disk or optical disk and other media that can store program code.

Claims

1. A method for automatically measuring parameters of a point cloud tower model, characterized in that: include: Acquire point cloud information and index information of the transmission line, wherein the index information includes tower number information of the transmission line and the longitude and latitude positions of each tower; Selecting a target pole tower, and generating a reference plane according to the index information, wherein the origin of the reference plane is the longitude and latitude position of the target pole tower; According to the reference plane, construct a target three-dimensional bounding box of the target tower; Nesting the target three-dimensional bounding box with the initial point cloud data to generate a point cloud model of the target tower; Measuring the point cloud model of the target tower according to a preset frame length, and calculating the structural parameters of the target tower; The measurement result of the target tower is generated by numbering according to the structural parameters of the target tower and the tower numbering information of the transmission line.

2. The automatic parameter measurement method of the point cloud tower model according to claim 1 is characterized in that: The point cloud information of the transmission line includes at least insulator point cloud data and tower point cloud data of the transmission line.

3. The automatic parameter measurement method of the point cloud tower model according to claim 1 is characterized in that: The step of selecting a target tower and generating a reference plane according to the index information includes: Selecting a target tower, and confirming the longitude and latitude positions of the front and rear towers adjacent to the target tower number according to the index information; A reference plane is constructed according to the angle bisector of the line connecting the front and rear towers.

4. The automatic parameter measurement method of the point cloud tower model according to claim 1 is characterized in that: The step of measuring the point cloud model of the target tower according to the preset frame length and calculating the structural parameters of the target tower includes: According to preset density parameters, the target three-dimensional bounding box is nested with the point cloud model of the target tower to generate a target grid model; The structural parameters of the target grid model are measured according to the preset border length.

5. The automatic parameter measurement method of the point cloud tower model according to claim 4 is characterized in that: The method further comprises: The precision parameter of the target tower is obtained, and the preset density parameter is set according to the precision parameter.

6. The method for automatically measuring parameters of a point cloud tower model according to claim 1, characterized in that: The method further includes: generating a tower structure parameter table of the transmission line according to the measurement results of the plurality of target towers.

7. The automatic measurement method of point cloud model parameters according to claim 5, characterized in that: The obtaining of the accuracy parameter of the target tower includes: Selecting a continuous point cloud space in the point cloud model of the target tower as a reference space, wherein the point cloud density of the reference space is at least three times the density parameter; Calculating the electrical grade of the target tower according to the profile and height of the reference space; According to the electrical grade of the target tower, the accuracy parameter of the target tower is set.

8. An automatic parameter measurement device for a point cloud tower model, characterized in that: include: An acquisition unit, used to acquire point cloud information and index information of the transmission line, wherein the index information includes tower number information of the transmission line and the longitude and latitude positions of each tower; A selection unit, used for selecting a target pole tower and generating a reference plane according to the index information, wherein the origin of the reference plane is the longitude and latitude position of the target pole tower; A construction unit, used for constructing a target three-dimensional bounding box of a target tower according to the reference plane; A generating unit, used for nesting the target three-dimensional bounding box with the initial point cloud data to generate a point cloud model of the target tower; A calculation unit, used to measure the point cloud model of the target tower according to a preset frame length, and calculate the structural parameters of the target tower; The measuring unit is used to generate the measurement result of the target tower by numbering according to the structural parameters of the target tower and the tower numbering information of the transmission line.

9. A computer device, characterized in that: include: A processor and a memory; the processor is connected to the memory; The processor executes the automatic parameter measurement method of the point cloud tower model according to any one of claims 1 to 7 stored in the memory.

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