Method for calculating human body surface electric field intensity in equipotential hot-line work based on laser point cloud

Abstract

The equipotential hot-line work human body surface electric field intensity calculation method based on the laser point cloud comprises the steps of obtaining point cloud data of a to-be-operated line; the obtained line point cloud is preprocessed; establishing a tower three-dimensional model for the pre-processed tower point cloud; establishing a wire three-dimensional model; establishing an operator three-dimensional model; and constructing an electric field simulation model, and calculating the body surface electric field intensity of the operator. According to the method, the electric field simulation model is automatically and quickly constructed through the point cloud data of the power transmission line, the surface electric field intensity of the human body is further calculated, and reference can be provided for safety assessment of equipotential hot-line work and selection of shielding clothes.

Description

Technical Field

[0001] The present invention relates to the field of electric field calculation for live working at equipotential on transmission lines, and particularly to a method for calculating the electric field strength on the human body surface for live working at equipotential based on laser point cloud. Background Technique

[0002] At present, live working at equipotential has become an important means for the maintenance and repair of transmission lines without power interruption. During the operation, the electric field strength on the body surface of the operator, as an important factor for safety assessment, needs to be calculated by constructing an electric field simulation model. The construction of the electric field simulation model requires establishing three-dimensional models of towers, conductors, and operators based on the line design drawings, which is time-consuming and requires a large amount of labor costs. In recent years, lidar has been widely used in transmission projects. The unmanned aerial vehicle (UAV) equipped with a lidar system flies around the line for scanning to obtain its high-precision point cloud data. The point cloud data represents the spatial position information of the line, and the electric field simulation model can be automatically modeled using this as the data source.

[0003] The Chinese patent "A method and system for calculating the equipotential of strong electric field applicable to point cloud data" (application number: 202410686210.4) proposes a numerical calculation method for the electric potential on the human body surface for live working at equipotential based on laser point cloud. This method constructs an electric field simulation model through the line and human body point cloud to calculate the electric potential on the body surface when the operator is at different positions. However, this method does not construct a three-dimensional model of the tower based on the point cloud, which will cause certain deviations in the calculation results of the electric potential on the body surface when the operator is at specific positions (inside the tower window, near the tower body side of the conductor). Summary of the Invention

[0004] Aiming at the problems such as the long time-consuming and low efficiency in constructing the simulation model when calculating the electric field strength on the human body surface for live working at equipotential currently. The present invention provides a method for calculating the electric field strength on the human body surface for live working at equipotential based on laser point cloud. Through the point cloud data of the transmission line, an electric field simulation model is automatically and quickly constructed, and then the electric field strength on the human body surface is calculated, which can provide a reference for the safety assessment of live working at equipotential and the selection of shielding clothing.

[0005] The technical solution adopted by the present invention is as follows:

[0006] A method for calculating the electric field strength on the human body surface for live working at equipotential based on laser point cloud, comprising the following steps:

[0007] Step 1: Obtain the point cloud data of the line to be operated;

[0008] Step 2: Preprocess the line point cloud obtained in Step 1;

[0009] Step 3: Establish a three-dimensional model of the tower for the tower point cloud obtained by preprocessing in Step 2;

[0010] Step 4: Establish a 3D model of the wire

[0011] Step 5: Establish a 3D model of the operator

[0012] Step 6: Construct an electric field simulation model and calculate the electric field intensity on the surface of the operator

[0013] In the said Step 1, the unmanned aerial vehicle is equipped with an airborne lidar system and repeats the surrounding scan around the tower to be operated to obtain point cloud data with high density and high precision

[0014] In the said Step 2, the line point cloud obtained in Step 1 is redirected and semantically segmented in sequence

[0015] The redirection refers to performing rotation and translation transformations on the line point cloud in sequence so that the wire direction is parallel to the x-axis direction and the center of the tower bottom is the origin of the coordinate system; the semantic segmentation refers to separately segmenting the redirected line point cloud into ground, vegetation, tower, transmission wire, lightning protection wire, and insulator string point clouds based on the PointNet++ transmission line semantic segmentation network. In the said Step 3, establishing the 3D model of the tower includes: tower body and tower head segmentation, establishing the 3D model of the tower body, and establishing the 3D model of the tower head

[0016] The said tower body and tower head segmentation refers to obtaining the elevation of the interface between the tower body and the tower head according to the elevation-length-width ratio characteristics of the tower point cloud, regarding the part below the interface as the tower body point cloud, and the part above as the tower head point cloud, as Figure 1 shown, so as to realize the segmentation of the tower body and tower head of the tower point cloud

[0017] Perform equidistant slicing on the tower point cloud in the elevation direction. At the same time, calculate the length-width ratio p of each slice. The elevation-length-width ratio characteristic means that starting from the bottom slice of the tower, as the elevation increases, p remains stable until the slice reaches the boundary between the tower body and the tower head, and p changes suddenly for the first time. Through the above analysis, it can be known that the average elevation of all points in the slice corresponding to the first sudden change of p can be regarded as the elevation z of the interface between the tower body and the tower head s , specifically as Figure 2 shown

[0018] The calculation formula of the length-width ratio p is as follows

[0019]

[0020] In the formula, x max , x min are respectively the maximum and minimum values of the x coordinates in the slice point set, and y max , y min are respectively the maximum and minimum values of the y coordinates in the slice point set

[0021] The establishment of the tower body three-dimensional model includes: based on the segmented tower body point cloud, respectively extracting the length, width, tower height, and tower foot height at the bottom and top of the tower body, and then obtaining the three-dimensional coordinates of each key point of the tower body. Finally, combined with the given point and surface topological structure, the tower body three-dimensional model as shown in Figure 3 is established.

[0022] The given point and surface topological structure refers to the topological relationship between the key points and the plane that is pre-constrained for the same type of model. For example, Figure 3 in, the key points 1, 2, 3, and 4 of the tower body point cloud form a quadrilateral grid in the counterclockwise direction, thus obtaining a tower body plane.

[0023] Based on the segmented tower head point cloud, a tower head three-dimensional model is established.

[0024] The establishment of the tower head three-dimensional model includes three steps: extraction of the outer contour of the front view projection point set, calculation of the two-dimensional coordinates of the key points on the front view, and calculation of the three-dimensional coordinates of the key points of the tower head;

[0025] The method for extracting the outer contour of the front view projection point set is: project the tower head point cloud onto the front view (YZ plane) to obtain the front view projection point set, and extract its outer contour points based on the Alpha Shape algorithm, specifically as shown in Figure 4 shown.

[0026] The method for calculating the two-dimensional coordinates of the key points on the front view is:

[0027] First, establish a two-dimensional parametric model of the front view of the tower head. The parametric model determines the two-dimensional coordinates of the key points on the front view of the tower head through a specific parameter set θ, and then the geometric positions of its outer contour line segments can be obtained. Taking the cat head tower as an example, the parametric model is as shown in Figure 5 shown.

[0028] Taking the minimum fitting deviation between the extracted outer contour points and the parametric model as the goal, an optimization model is established. Its objective function, that is, the fitting deviation, is calculated by the following formula:

[0029]

[0030] In the formula: n is the number of tower head outer contour points, d i represents the distance between the i-th point p i of the outer contour and the nearest line segment in the outer contour line segment set of the parametric model. The calculation principle is as shown in Figure 6 shown.

[0031] Continuously optimize the parameter set θ of the parametric model to make its fitting deviation with the outer contour points the lowest, specifically as shown in Figure 7 shown.

[0032] At this time, the parameter set of the parametric model is the front view parameters of the actual tower head, and then the two-dimensional coordinates of each key point on the front view can be obtained. In Figure 5 , taking the key point No. 1 as an example, after obtaining the optimal parameter set θ{l 1 , l 2 , l 3 , l 4 , l 5 , l 6 , l 7 , h 1 , h 2 , h 3 , h 4 , h 5 , h 6}), the coordinates of the key point No. 1 are (l 1 , h 2 + H), where H is the height of the tower body.

[0033] The calculation method for the three-dimensional coordinates of the tower head key points is as follows:

[0034] Each two-dimensional key point on the front view corresponds to two three-dimensional key points, the front and the rear, in the tower head point cloud. Their y and z coordinates are the same as those of the two-dimensional key point. To obtain its x coordinate, the tower head width at the corresponding position needs to be calculated. To achieve the above purpose, the K-neighborhood point set of each two-dimensional key point in the front view projection points is obtained, that is, the point set composed of its k nearest points. See Figure 8(a) for details. The tower head width W at the corresponding position of each key point is the difference between the maximum value and the minimum value of the x coordinates of its K-neighborhood point set, as shown in Figure 8(b). Since the coordinate origin is located at the center of the bottom of the tower pole, the x coordinates of the two three-dimensional key points, the front and the rear, are W / 2 and -W / 2 respectively.

[0035] After calculating the three-dimensional coordinates of the tower head key points, combined with the established topological structure of points and surfaces, the three-dimensional model of the tower head can be established, as Figure 9 shown.

[0036] In step 4 described above, according to the semantic segmentation result in step 2, the connection points of the transmission line and the insulator string are extracted. Based on the coordinates of this point, with the x-axis direction as the wire direction, given the split number, split radius, split sub-conductor radius, and wire length, the corresponding three-dimensional wire model is established, as Figure 10 shown.

[0037] In step 5 described above, according to the working postures, including kneeling, crawling, and sitting postures, the pre-built three-dimensional human model is called, and based on the actual working position, the three-dimensional human model is translated, so as to establish the three-dimensional model of the operator located at the actual position, as Figure 11 shown.

[0038] In step 6, a Matlab-COMSOL Multiphysics co-simulation platform is built. After automatically establishing 3D models of the tower pole, conductors, and human body based on the point cloud data in Matlab, the COMSOL Multiphysics is called to construct the corresponding electric field simulation model, assign material properties, and set boundary conditions, and calculate the surface electric field strength of the operator at any position.

[0039] A method for calculating the surface electric field strength of a live working person at equal potential based on laser point cloud according to the present invention has the following technical effects: 1) In step 2 of the present invention, a local coordinate system of the tower pole is constructed by redirection, where the coordinate origin is set at the center of the bottom of the tower pole, and the x-axis direction is parallel to the conductor direction, which provides convenience for the subsequent construction of the tower pole and conductor models; in addition, based on the PointNet++ point cloud semantic segmentation network, automatic extraction of the tower pole point cloud is realized, avoiding the manual segmentation process.

[0040] 2) Based on the elevation-length-width ratio feature of the tower pole, step 3 of the present invention realizes the automatic segmentation of the tower body and tower head point clouds. For the relatively simple tower body part, a method of directly extracting key parameters is used for 3D modeling; for the complex tower head part, the front view parameters are obtained through a model matching algorithm, and the 3D spatial coordinates of the key points of the tower head are calculated accordingly, and finally the 3D model of the tower head is constructed. This method realizes the accurate 3D reconstruction of the tower body and tower head point cloud data through a differentiated processing strategy.

[0041] 3) In step 4 of the present invention, based on the extracted connection point positions of the conductors and insulator strings, and combined with the artificially set conductor length, split number, split radius, and sub-conductor radius, the automatic establishment of the conductor 3D model is realized by parametric modeling, avoiding the cumbersome manual editing process and improving the modeling efficiency.

[0042] 4) In step 5 of the present invention, according to the actual working posture and position, a 3D model of the operator is selected and generated from the pre-constructed human model library, thus avoiding the repeated modeling of complex human models and improving the modeling efficiency and applicability.

[0043] 5) In step 6 of the present invention, a Matlab-COMSOL Multiphysics co-simulation platform is built. 3D models of the tower pole, conductors, and human body are constructed through Matlab, and the COMSOL Multiphysics is called to assemble the models, assign material properties, and set boundary conditions. Finally, an electric field simulation model is obtained and simulation calculations are carried out. This platform realizes the full-automatic modeling calculation of the surface electric field strength of a live working person at equal potential.

[0044] 6) The method automatically constructs an electric field simulation model through the laser point cloud data of the line to be operated, eliminating a large number of manual modeling steps and significantly improving the calculation efficiency compared with the traditional method for calculating the surface field strength of operators. Description of the Drawings

[0045] The present invention will be further described below in conjunction with the drawings and examples;

[0046] Figure 1 It is the rendering of the tower body and tower head segmentation.

[0047] Figure 2 It is the schematic diagram of the principle of tower body and tower head segmentation.

[0048] Figure 3 It is the three-dimensional model of the tower body.

[0049] Figure 4 It is the rendering of the extraction of the outer contour of the projection point set on the front view of the tower head.

[0050] Figure 5 It is the two-dimensional parameter model of the front view of the tower head.

[0051] Figure 6 It is the schematic diagram of fitting deviation calculation.

[0052] Figure 7 It is the rendering of parameter optimization.

[0053] Figure 8(a) shows the K-neighborhood point set of the two-dimensional key points in the front view projection plane.

[0054] Figure 8(b) is the schematic diagram of tower head width calculation.

[0055] Figure 9 It is the three-dimensional model of the tower head.

[0056] Figure 10 It is the schematic diagram of wire model establishment.

[0057] Figure 11 It is the three-dimensional model of the operator.

[0058] Figure 12 It is the flow chart of the calculation method of the present invention.

[0059] Figure 13(a) is the original high-precision point cloud data map of the line;

[0060] Figure 13(b) is the point cloud data map after preprocessing.

[0061] Figure 14 It is the three-dimensional model of the pole tower, line and operator.

[0062] Figure 15 It is the interface of the joint simulation platform.

[0063] Figure 16(a) shows the calculation result of the electric field strength on the surface of the operator (at a distance of 0 m from the wire suspension point);

[0064] Figure 16(b) shows the calculation result of the electric field strength on the surface of the operator (at a distance of 10 m from the wire suspension point). Specific implementation mode

[0065] To efficiently calculate the electric field strength on the surface of the operator during live working at equal potential, the present invention proposes a method for calculating the electric field strength on the human body surface based on laser point cloud. At the same time, a joint simulation platform of Matlab - COMSOL Multiphysics is built. The unmanned aerial vehicle is equipped with a lidar system to obtain high-precision point cloud data of the line to be worked. According to the obtained point cloud data, a three-dimensional model of the tower, wire, and human body is automatically established based on Matlab, and then COMSOL Multiphysics is called to construct an electric field simulation model to calculate the electric field strength on the surface of the operator at any position.

[0066] As Figure 12 shown, it includes the following steps:

[0067] Step (1): Obtaining high-precision point cloud of the working line;

[0068] Step (2): Preprocessing of the point cloud;

[0069] Step (3): Automatically establishing the three-dimensional model of the tower;

[0070] Step (4): Automatically establishing the three-dimensional model of the wire;

[0071] Step (5): Automatically establishing the three-dimensional model of the operator;

[0072] Step (6): Constructing an electric field simulation model and calculating the electric field strength on the surface of the operator.

[0073] The preprocessing in step (2) refers to sequentially performing redirection and semantic segmentation processing on the original point cloud of the working line obtained in step (1).

[0074] The automatic establishment of the three-dimensional model of the tower in step (3) includes three steps: automatic segmentation of the tower body and tower head, establishment of the three-dimensional model of the tower body, and establishment of the three-dimensional model of the tower head.

[0075] When establishing the three-dimensional model of the wire in step (4), the parameters that need to be extracted based on the point cloud are the connection point coordinates of each wire and the insulator string, and the split number, split radius, split sub-conductor radius, and wire length all need to be given manually.

[0076] When establishing the 3D model of the operator in step (5), it is necessary to determine their working posture and location (the distance from the insulator string when on the conductor), so as to call the human model in the corresponding posture and perform a translation transformation to establish the 3D model of the operator at the actual position.

[0077] In step (6), a Matlab-COMSOL Multiphysics co-simulation platform is built, which can automatically construct an electric field simulation including towers, conductors, and humans based on the line point cloud, and there is no need to manually assign materials and set boundary conditions.

[0078] Specific example:

[0079] Taking a 330 kV AC transmission line as an example, the tower type is a wine glass tower, the three-phase conductors are arranged horizontally, the conductor model is LGJ-400 / 35, 3-split erection is adopted, the split radius is 0.4 m, and the radius of the split sub-conductor is 1.56 cm. The DJI M350 RTK drone equipped with the Zenmuse L2 lidar system repeatedly scans around the tower to obtain its high-precision point cloud data as shown in Fig. 13(a). The horizontal accuracy and vertical accuracy of this lidar system are 5 cm and 4 cm respectively. The number of points in the obtained point cloud is 4269805, and the average distance between each point and its nearest neighbor point is 0.075 m.

[0080] Redirect it so that the conductor direction is parallel to the x-axis direction. Based on the PointNet++ transmission line semantic segmentation network, the redirected line point cloud is separately segmented into tower, ground, transmission conductor, lightning protection wire, and insulator string point clouds, as shown in Fig. 13(b).

[0081] Then, based on the segmented tower point cloud, a 3D model of the tower is established, as Figure 14 shown. It can be seen that the matching degree between the obtained model and the original tower point cloud is relatively high. Then, locate the connection points of the conductor and the insulator string, ignore the influence of the sag on the conductor, and establish a 3D model of the conductor with the x-axis direction as the conductor direction. Finally, according to the actual working position, that is, the distance between the operator on the conductor and the conductor suspension point, a 3D model of the operator is established.

[0082] To realize the automatic calculation of the surface electric field intensity of the operator during live working at equal potential, a Matlab-COMSOL Multiphysics co-simulation platform is built, and its interface is as Figure 15 shown. Users can import the original point cloud file of the line to be worked on this platform, and at the same time set the conductor parameters and the working position and posture. The platform will automatically construct an electric field simulation model and calculate the surface electric field intensity of the operator.

[0083] When the distances between the operators on the conductor and the conductor suspension points are 0 m and 10 m respectively, the contour maps of the body surface electric field distribution calculated by this platform are shown in Figure 16. The operators at both positions are in the equipotential state, the distribution characteristics of the body surface electric field are the same, and the points with the maximum field strength are both at the shoulders of the operators. However, when the distance between the operator and the conductor suspension point is 0 m, the operator is inside the tower window, and the maximum value of the body surface field strength is 871 kV / m, slightly greater than the body surface field strength when the distance between the operator and the suspension point is 10 m (outside the tower window). It can be seen that the tower has a certain influence on the body surface field strength of the operator in the equipotential state. In addition, when calculating the electric field strength by this platform, the time for the entire modeling and calculation is less than 20 s, which greatly improves the calculation efficiency compared with the traditional method.

Claims

1. A method for calculating the electric field strength on the human body surface during equipotential live working based on laser point cloud, characterized in that The following steps are involved: Step 1: Obtain the point cloud data of the line to be operated; Step 2: Preprocess the line point cloud obtained in step 1; Step 3: Building a three-dimensional tower model based on the tower point cloud obtained by preprocessing in step 2; Step 4: Establish a three-dimensional model of the conductor; Step 5: Establish a three-dimensional model of the operator; Step 6: Construct an electric field simulation model to calculate the electric field strength on the operator's body surface.

2. According to the method for calculating the electric field intensity on the surface of the human body during equipotential live working based on laser point cloud in claim 1, it is characterized by: In step 1, the drone is equipped with an airborne laser radar system, which repeatedly scans around the tower to be operated to obtain point cloud data with high density and accuracy.

3. According to the method for calculating the electric field intensity on the surface of the human body during equipotential live working based on laser point cloud in claim 1, it is characterized by: In the step 2, the route point cloud obtained in step 1 is redirected and semantically segmented in sequence; The redirection refers to rotating and translating the line point cloud in sequence, so that the conductor direction is parallel to the x-axis direction and the center of the tower bottom is the origin of the coordinate system; The semantic segmentation refers to segmenting the redirected line point cloud into ground, vegetation, towers, transmission lines, lightning conductors and insulator string point clouds based on the PointNet++ transmission line semantic segmentation network.

4. According to the method for calculating the electric field intensity on the surface of the human body during equipotential live working based on laser point cloud in claim 1, it is characterized by: In the step 3, establishing the three-dimensional model of the tower includes: segmenting the tower body and the tower head, establishing the three-dimensional model of the tower body and the three-dimensional model of the tower head; The tower body and tower head segmentation refers to obtaining the elevation of the interface between the tower body and the tower head according to the elevation-aspect ratio characteristics of the tower point cloud, and treating the part below the interface as the tower body point cloud and the part above the interface as the tower head point cloud, thereby realizing the tower body and tower head segmentation of the tower point cloud; The three-dimensional model of the tower body is established by extracting the length and width of the bottom and top of the tower body and the height of the tower and the height of the tower foot based on the segmented tower body point cloud, thereby obtaining the three-dimensional coordinates of each key point of the tower body, and finally establishing the three-dimensional model of the tower body by combining the established point and surface topological structure; Based on the tower head point cloud obtained by segmentation, a three-dimensional model of the tower head is established.

5. According to the method for calculating the electric field intensity on the surface of the human body during equipotential live working based on laser point cloud in claim 4, it is characterized by: Slice the tower point cloud equidistantly in the elevation direction and calculate the aspect ratio p of each slice; The height-aspect ratio characteristic means that starting from the slice at the bottom of the tower, as the height increases, p remains stable until the slice reaches the boundary between the tower body and the tower head, and p changes for the first time. Through the above analysis, it can be seen that the elevation mean of all points in the slice corresponding to the first mutation of p can be regarded as the elevation z of the interface between the tower body and the tower head. s ; The calculation formula of aspect ratio p is as follows: In the formula, x max 、x min are the maximum and minimum x-coordinates of the slice points, and y max ,y min are the maximum and minimum y coordinates of the slice point set, respectively.

6. According to claim 4, the method for calculating the electric field intensity on the surface of the human body during equipotential live working based on laser point cloud is characterized by: The predetermined point and surface topological structure refers to the topological relationship between key points and planes that are pre-constrained for the same type of model; key points 1, 2, 3, and 4 of the tower point cloud form a quadrilateral grid in a counterclockwise direction, thereby obtaining a tower plane.

7. The method for calculating the electric field intensity on the surface of the human body during equipotential live working based on laser point cloud according to claim 1, characterized in that: The tower head three-dimensional model establishment includes three steps: extracting the outer contour of the front view projection point set, calculating the two-dimensional coordinates of the front view key points, and calculating the three-dimensional coordinates of the tower head key points; The method for extracting the outer contour of the front view projection point set is as follows: projecting the tower head point cloud onto the front view surface to obtain the front view projection point set, and extracting its outer contour points based on the Alpha Shape algorithm; The calculation method of the two-dimensional coordinates of the key points of the front view surface is: Firstly, a two-dimensional parameter model of the front view of the tower head is established. The parameter model determines the two-dimensional coordinates of the key points of the front view of the tower head through a specific parameter set θ, and then the geometric position of its outer contour line segment can be obtained. The optimization model is established with the goal of minimizing the fitting deviation between the extracted outer contour points and the parameter model. Its objective function, i.e., the fitting deviation, is calculated by the following formula: Where: n is the number of points on the outer contour of the tower head, d i Represents the i-th point p of the outer contour i The distance between the nearest line segment in the outer contour line segment set of the parameter model; The parameter set θ of the parameter model is continuously optimized to minimize the fitting deviation with the outer contour points; at this time, the parameter set of the parameter model is the front view parameters of the actual tower head, and the two-dimensional coordinates of each key point of the front view surface can be obtained; The calculation method of the three-dimensional coordinates of the key points of the tower head is: Each two-dimensional key point on the front view surface corresponds to the front and rear three-dimensional key points in the tower head point cloud, and its y and z coordinates are consistent with the two-dimensional key points. In order to obtain its x coordinate, the width of the tower head at the corresponding position needs to be calculated; to achieve the above purpose, the K-neighborhood point set of each two-dimensional key point in the front view surface projection point is obtained, that is, the point set composed of the k points closest to it. The tower head width W at the corresponding position of each key point is the difference between the maximum and minimum values ​​of the x coordinates of its K-neighborhood point set. Since the coordinate origin is located at the center of the bottom of the tower, the x coordinates of the front and rear two three-dimensional key points are W / 2 and -W / 2 respectively; after calculating the three-dimensional coordinates of the tower head key points, the three-dimensional model of the tower head can be established in combination with the established topological structure of points and surfaces.

8. According to claim 1, the method for calculating the electric field intensity on the surface of the human body during equipotential live working based on laser point cloud is characterized by: In step 4, according to the semantic segmentation result in step 2, the connection point between the transmission line and the insulator string is extracted, and based on the coordinates of the point, the x-axis direction is taken as the direction of the line, and the number of splits, split radius, split sub-line radius and line length are given to establish a corresponding line three-dimensional model.

9. The method for calculating the electric field intensity on the surface of the human body during equipotential live working based on laser point cloud according to claim 1, characterized in that: In step 5, according to the working posture, including kneeling, crawling, and sitting, the pre-built three-dimensional human body model is called, and the three-dimensional human body model is translated and transformed based on the actual working position, so as to establish a three-dimensional model of the operator at the actual position.

10. The method for calculating the electric field intensity on the surface of a human body during equipotential live working based on laser point cloud according to claim 1, characterized in that: In step 6, a Matlab-COMSOL Multiphysics joint simulation platform is built, and after automatically establishing a three-dimensional model of the tower, conductor and human body based on the point cloud data and Matlab, COMSOL Multiphysics is called to build a corresponding electric field simulation model, assign material properties and set boundary conditions, and calculate the surface electric field strength when the operator is at any position.

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