Power transmission line entry into equipotential dangerous point automatic marking system and method
By using 3D point cloud data and simulated electric field analysis technology, combined with VR display and real-time detection modules, the equipotential danger points of transmission lines are automatically marked, solving the problems of low efficiency and insufficient accuracy of traditional manual marking, and realizing efficient and safe equipotential work.
Patent Information
- Application Number
- CN202411570855.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-06
- Publication Date
- 2025-11-28
- Estimated Expiration
- 2044-11-06
AI Technical Summary
Traditional methods of marking equipotential hazard points on power transmission lines rely on manual statistics, which are inefficient and inaccurate, and cannot promptly remind workers to avoid dangerous locations and actions.
Using 3D point cloud data and simulated electric field analysis technology, combined with VR display and real-time detection modules, dangerous locations and actions are automatically marked, and warnings are alerted to workers through vibration and playback.
It improved the efficiency and accuracy of hazard point marking, enhanced operational safety, reduced the likelihood of accidents, and improved the work efficiency and safety protection level of operators.
Smart Images

Figure CN119763116B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of power transmission lines, in particular to a power transmission line entering an equipotential dangerous point automatic marking system and method. BACKGROUND
[0002] A power transmission line is a device that uses a transformer to step up the power generated by a generator and then connects it to the power transmission line through control devices such as circuit breakers. The structure is divided into overhead power transmission lines and cable lines. Overhead power transmission lines are composed of line towers, conductors, insulators, line fittings, stay wires, tower foundations, and grounding devices, and are erected above the ground. According to the nature of the transmitted current, power transmission is divided into alternating current transmission and direct current transmission.
[0003] A notable feature of current live-line work on power transmission lines is the use of equipotential work, that is, the worker enters the high-voltage conductor through an insulating tool and is at the same potential. The key to equipotential work is to choose the right entry path and method, and it must be ensured that the worker's personal safety is ensured when entering and leaving the equipotential.
[0004] However, when the worker enters the high-voltage conductor through the insulating tool, several matters need to be noted, such as not going to dangerous locations and not doing dangerous actions. The matters to be noted are generally counted manually, and thus there is a low efficiency. Therefore, the power transmission line entering the equipotential dangerous point automatic marking method is invented. SUMMARY
[0005] In view of the above problems, the present application is proposed.
[0006] Therefore, the technical problem solved by the present application is that traditional power transmission line equipotential dangerous point marking relies on manual counting and marking, which is not only time-consuming but also prone to omissions or errors. The present application greatly improves the marking efficiency through automatic marking.
[0007] The accuracy of manual marking is greatly affected by subjective factors, and consistency cannot be ensured. The present application uses three-dimensional point cloud data, simulation electric field analysis and other technologies to accurately mark dangerous positions and actions, ensuring the accuracy of the marking.
[0008] During the equipotential work on high-voltage power transmission lines, the worker needs to avoid approaching dangerous positions or performing dangerous actions. The traditional method is difficult to remind the worker of the safety risk in time. The present application uses a VR display, real-time detection and reminder module to issue a vibration and play a warning when the worker enters a dangerous area or performs a dangerous action, significantly improving the safety of the work.
[0009] To solve the above technical problems, the present application provides the following technical solutions: a power transmission line entering an equipotential dangerous point automatic marking system, comprising:
[0010] The three-dimensional point cloud model establishing module, the analysis module, the marking module, the VR glasses, the storage module and the detection module;
[0011] The three-dimensional point cloud model establishing module is used for constructing a three-dimensional model of the power transmission tower according to point cloud data of the power transmission tower;
[0012] The analysis module is used for analyzing the distribution of the simulated electric field and information of the point cloud according to the three-dimensional model;
[0013] The marking module is used for marking information containing danger according to data analyzed by the analysis module;
[0014] The VR glasses are used for displaying data marked by the marking module;
[0015] The storage module is used for storing data marked by the marking module;
[0016] The detection module is used for detecting and analyzing behaviors of the operating personnel to analyze whether the operating personnel is in a dangerous environment.
[0017] As a preferred scheme of the power transmission line entering equipotential dangerous point automatic marking system, the three-dimensional point cloud model establishing module comprises a point cloud data acquisition module, an analysis module and a model constructing module;
[0018] The point cloud data acquisition module is used for acquiring point cloud data of the power transmission tower;
[0019] The analysis module is used for analyzing the distribution of the simulated electric field and information of the point cloud according to the three-dimensional model;
[0020] The model constructing module is used for constructing a three-dimensional model of the power transmission tower according to data analyzed by the analysis module.
[0021] As a preferred scheme of the power transmission line entering equipotential dangerous point automatic marking system, the analysis module comprises a simulated electric field analysis module and a point cloud analysis module;
[0022] The simulated electric field analysis module is used for analyzing the distribution of the simulated electric field according to the three-dimensional model;
[0023] The point cloud analysis module is used for analyzing information of the point cloud according to the three-dimensional model.
[0024] As a preferred scheme of the power transmission line entering equipotential dangerous point automatic marking system, the marking module comprises a dangerous position marking module, a human body action marking module and a dangerous gap marking module;
[0025] The dangerous position marking module is used for marking the dangerous position on the three-dimensional model according to the distribution of the simulated electric field and the information of the point cloud thereof;
[0026] The human action marking module is used for marking the dangerous action capable of causing danger according to the distribution of the simulated electric field and the information of the point cloud thereof;
[0027] The dangerous gap marking module is used for marking the point on the three-dimensional model which does not satisfy the safety standard according to the distribution of the simulated electric field and the information of the point cloud thereof.
[0028] As a preferred scheme of the power transmission line entering equipotential dangerous point automatic marking system, the detection module comprises an image acquisition module, a comparison module and a reminding module;
[0029] The image acquisition module is used for acquiring the position and action of the worker;
[0030] The comparison module is used for comparing the data acquired by the image acquisition module with the data stored in the storage module;
[0031] The reminding module is used for reminding the worker.
[0032] As a preferred scheme of the power transmission line entering equipotential dangerous point automatic marking system, the reminding module comprises a vibration module and a playing module;
[0033] The vibration module is used for enabling the worker to feel the vibration;
[0034] The playing module is used for playing the data compared by the comparison module.
[0035] As a preferred scheme of the power transmission line entering the equipotential dangerous point automatic marking system, the three-dimensional point cloud model establishing module is connected with the analysis module; the analysis module is connected with the marking module; the marking module is connected with the VR glasses; the marking module is connected with the storage module; the storage module is connected with the detection module; the detection module is arranged on the VR glasses; the point cloud data acquisition module is connected with the analysis module; the analysis module is connected with the model construction module; the model construction module is connected with the simulation electric field analysis module; the simulation electric field analysis module is connected with the point cloud analysis module; the point cloud analysis module is connected with the dangerous position marking module; the dangerous position marking module is connected with the human body action marking module; the human body action marking module is connected with the dangerous gap marking module; the dangerous gap marking module is connected with the VR glasses; the image acquisition module is connected with the comparison module, the comparison module is connected with the reminding module, and the comparison module is also connected with the storage module; the dangerous gap marking module is also connected with the storage module; the comparison module is connected with the vibration module, and the vibration module is connected with the playing module.
[0036] Another object of the present application is to provide a power transmission line entering an equipotential dangerous point automatic marking method, which solves the problems of existing power transmission line equipotential dangerous point marking methods, such as dependence on manual statistics, low marking efficiency, and insufficient marking accuracy due to human factors, and optimizes the problem of how to remind the operating personnel to avoid dangerous positions and dangerous actions in real time in high-voltage power transmission operations to improve the safety of the operation.
[0037] To solve the above technical problems, the present application provides the following technical scheme: a power transmission line entering an equipotential dangerous point automatic marking method, comprising: acquiring point cloud data of a power transmission tower through a point cloud data acquisition module, then analyzing the data acquired by the point cloud data acquisition module through an analysis module, and then constructing a three-dimensional model of the power transmission tower according to the data analyzed by the analysis module through a model construction module;
[0038] analyzing the distribution of the simulation electric field according to the three-dimensional model through a simulation electric field analysis module, and then analyzing the information of the point cloud according to the three-dimensional model through a point cloud analysis module;
[0039] The dangerous position is marked on the three-dimensional model according to the distribution of the simulation electric field and the information of the point cloud thereof by the dangerous position marking module, then, the dangerous action capable of causing danger is marked according to the distribution of the simulation electric field and the information of the point cloud thereof by the human action marking module, and then, the point of the gap not meeting the safety standard is marked on the three-dimensional model according to the distribution of the simulation electric field and the information of the point cloud thereof by the dangerous gap marking module;
[0040] The data marked by the marking module is displayed through the VR glasses, and the data marked by the marking module is stored through the storage module.
[0041] The position and action of the operating personnel are collected through the image collection module, then, the data collected by the image collection module is compared with the data stored in the storage module through the comparison module, if the operating personnel is about to be in a dangerous position or about to perform a dangerous action, the operating personnel can feel the vibration through the vibration module, and the data compared by the comparison module is played through the playing module, so that the operating personnel can be reminded.
[0042] A computer device comprising a memory and a processor, the memory stores a computer program, and the processor implements the steps of the power transmission line entering equipotential dangerous point automatic marking method when executing the computer program.
[0043] A computer readable storage medium having a computer program stored thereon, the computer program is executed by a processor to implement the steps of the power transmission line entering equipotential dangerous point automatic marking method.
[0044] The power transmission line entering equipotential dangerous point automatic marking system provided by the present application can automatically identify and mark dangerous positions, dangerous actions and unsafe gaps through the automatic processing of three-dimensional point cloud model establishment, simulation electric field and point cloud analysis, thereby reducing manual operation, improving marking efficiency and accuracy.
[0045] The position and action of the operating personnel are collected through the image collection module, then, the data collected by the image collection module is compared with the data stored in the storage module through the comparison module, if the operating personnel is about to be in a dangerous position or about to perform a dangerous action, the operating personnel can feel the vibration through the vibration module, and the data compared by the comparison module is played through the playing module, so that the operating personnel can be reminded.
[0046] The automatic marking and real-time detection reminding functions are integrated, which reduces manual intervention, enables the operating personnel to focus on the work itself, and improves the work efficiency and safety protection level. BRIEF DESCRIPTION OF DRAWINGS
[0047] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and all other drawings obtained by those skilled in the art without creative effort based on these drawings should also fall within the protection scope of the present application.
[0048] Figure 1 The overall structural diagram of the power transmission line entering isopotential dangerous point automatic marking system provided by an embodiment of the present application is shown in FIG. 1. DETAILED DESCRIPTION
[0049] In order to make the above-mentioned purposes, features and advantages of the present application more apparent and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative effort should also fall within the protection scope of the present application.
[0050] In the following description, many specific details are set forth in order to provide a thorough understanding of the present application. However, the present application can be practiced in other manners different from those described herein, and those skilled in the art can make similar generalizations without departing from the spirit and scope of the present application. Therefore, the present application is not limited to the specific embodiments disclosed below.
[0051] Embodiment 1, with reference to Figure 1 For an embodiment of the present application, a power transmission line entering isopotential dangerous point automatic marking method is provided, which comprises the following steps:
[0052] The three-dimensional point cloud model establishing module 100, the analysis module 200, the marking module 300, the VR glasses 400, the storage module 500 and the detection module 600;
[0053] The three-dimensional point cloud model establishing module 100 is configured to construct a three-dimensional model of the power transmission tower according to the point cloud data of the power transmission tower;
[0054] The analysis module 200 is configured to analyze the distribution of the simulated electric field and the information of the point cloud according to the three-dimensional model;
[0055] The marking module 300 is configured to mark the information containing the danger according to the data analyzed by the analysis module;
[0056] The VR glasses 400 are configured to display the data marked by the marking module;
[0057] The storage module 500 is configured to store the data marked by the marking module;
[0058] The detection module 600 is used for detecting and analyzing the behavior of the worker to analyze whether the worker is in a dangerous environment.
[0059] The three-dimensional point cloud model establishing module 100 comprises a point cloud data acquisition module 101, an analysis module 102 and a model constructing module 103.
[0060] The point cloud data acquisition module 101 is used for acquiring the point cloud data of the power transmission tower.
[0061] The analysis module 102 is used for analyzing the data acquired by the point cloud data acquisition module.
[0062] The model constructing module 103 is used for constructing the three-dimensional model of the power transmission tower according to the data analyzed by the analysis module.
[0063] The analysis module 200 comprises a simulated electric field analysis module 201 and a point cloud analysis module 202.
[0064] The simulated electric field analysis module 201 is used for analyzing the distribution of the simulated electric field according to the three-dimensional model.
[0065] The point cloud analysis module 202 is used for analyzing the information of the point cloud according to the three-dimensional model.
[0066] The marking module 300 comprises a dangerous position marking module 301, a human body action marking module 302 and a dangerous gap marking module 303.
[0067] The dangerous position marking module 301 is used for marking the dangerous position on the three-dimensional model according to the distribution of the simulated electric field and the information of the point cloud.
[0068] The human body action marking module 302 is used for marking the dangerous action that can cause danger according to the distribution of the simulated electric field and the information of the point cloud.
[0069] The dangerous gap marking module 303 is used for marking the point that does not meet the safety standard in the gap on the three-dimensional model according to the distribution of the simulated electric field and the information of the point cloud.
[0070] The detection module 600 comprises an image acquisition module 601, a comparison module 602 and a reminding module 603.
[0071] The image acquisition module 601 is used for acquiring the position and action of the worker.
[0072] The comparison module 602 is used for comparing the data acquired by the image acquisition module with the data stored in the storage module.
[0073] The reminding module 603 is used for reminding the operating personnel.
[0074] The reminding module 603 includes a vibration module 603a and a playing module 603b.
[0075] The vibration module 603a is used for allowing the operating personnel to feel vibration.
[0076] The playing module 603b is used for playing the data compared by the comparison module.
[0077] The three-dimensional point cloud model establishing module 100 is connected with the analysis module 200. The analysis module 200 is connected with the labeling module 300. The labeling module 300 is connected with the VR glasses 400. The labeling module 300 is connected with the storage module 500. The storage module 500 is connected with the detection module 600. The detection module 600 is arranged on the VR glasses. The point cloud data acquisition module 101 is connected with the analysis module 102. The analysis module 102 is connected with the model construction module 103. The model construction module 103 is connected with the simulation electric field analysis module 201. The simulation electric field analysis module 201 is connected with the point cloud analysis module 202. The point cloud analysis module 202 is connected with the dangerous position labeling module 301. The dangerous position labeling module 301 is connected with the human body action labeling module 302. The human body action labeling module 302 is connected with the dangerous gap labeling module 303. The dangerous gap labeling module 303 is connected with the VR glasses 400. The image acquisition module 601 is connected with the comparison module 602. The comparison module 602 is connected with the reminding module 603. The comparison module 602 is also connected with the storage module 500. The dangerous gap labeling module 303 is also connected with the storage module 500. The comparison module 602 is connected with the vibration module 603a. The vibration module 603a is connected with the playing module 603b.
[0078] Embodiment 2
[0079] For an embodiment of the present application, a power line entry equipotential dangerous point automatic labeling method is provided, which comprises the following steps:
[0080] Step one: the point cloud data acquisition module is used to acquire the point cloud data of the power tower. After the acquisition, the analysis module is used to analyze the data acquired by the point cloud data acquisition module. After the analysis, the model construction module is used to construct the three-dimensional model of the power tower according to the data analyzed by the analysis module.
[0081] The construction process of the three-dimensional model is as follows:
[0082] Process 1: Data preprocessing: Before constructing the 3D model, the point cloud data needs to be preprocessed, including denoising, filtering, sampling, etc., to improve the efficiency and accuracy of subsequent processing.
[0083] Process 2: Surface reconstruction: Surface reconstruction is the core step of constructing the 3D model, common algorithms include:
[0084] Delaunay triangulation: Connect the points in the point cloud data into a triangular mesh to approximate the surface of the original object.
[0085] Alpha Shape algorithm: Define a shape parameter α to identify the core area of the point cloud and construct the surface model of the area.
[0086] Moving Least Squares (MLS): Smooth the point cloud data by locally fitting planes or surfaces, and construct a smoother surface model.
[0087] Process 3: Model optimization: After surface reconstruction, the model needs to be optimized, including smoothing, hole filling, feature extraction, etc., to improve the quality and usability of the model.
[0088] Step 2: Analyze the distribution of the simulation electric field based on the three-dimensional model through the simulation electric field analysis module, specifically, analyze the distribution of high-voltage conductors in the three-dimensional model based on the distribution of high-voltage conductors in the power transmission line, and then analyze the point cloud information based on the three-dimensional model through the point cloud analysis module, specifically, analyze the high-voltage conductor point cloud data in the three-dimensional model based on the high-voltage conductor point cloud data in the power transmission line.
[0089] Step 3: Label the dangerous positions on the three-dimensional model based on the distribution of the simulation electric field and its point cloud information through the dangerous position labeling module, specifically, label the corresponding dangerous positions on the three-dimensional model based on the dangerous positions in the power transmission line, then label the dangerous actions that can cause danger based on the distribution of the simulation electric field and its point cloud information through the human action labeling module, specifically, store the actions that cannot be made when passing through the dangerous position and mark them on the three-dimensional model, so that when passing through the dangerous position, the stored actions cannot be made when the VR glasses display at the dangerous position, then label the points that do not meet the safety standards in the gap on the three-dimensional model through the dangerous gap labeling module based on the distribution of the simulation electric field and its point cloud information, specifically, store the minimum gap distance when passing through the dangerous position and mark it on the three-dimensional model.
[0090] Step four: display the data labeled by the labeling module through the VR glasses, and store the data labeled by the labeling module through the storage module;
[0091] Step five: collect the position and action of the worker through the image collection module, and then compare the data collected by the image collection module with the data stored in the storage module through the comparison module, specifically, compare the action of the worker at this time with the stored dangerous action to analyze whether the action of the worker at this time is the precursor of making a dangerous action, if the worker is about to be in a dangerous position or about to make a dangerous action, the worker will feel the vibration through the vibration module, and the data compared by the comparison module will be played through the playing module, thus the worker can be reminded.
[0092] Embodiment 3
[0093] One embodiment of the present application is different from the previous two embodiments:
[0094] If the function is realized in the form of a software function 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 solutions of the present application essentially or the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.
[0095] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered a list of executable instructions for implementing logical functions, and can be specifically embodied in any computer-readable medium for use by an instruction execution system, device or apparatus, such as a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, device or apparatus, or in conjunction with these instructions execution system, device or apparatus. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transport programs for use by an instruction execution system, device or apparatus, or in conjunction with these instruction execution system, device or apparatus.
[0096] More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection (electronic) having one or more wires, a portable computer diskette (magnetic), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can also be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, for example, via an optical scanner, then compiled, interpreted, or otherwise processed, and stored in a computer memory in a form that is then reproducible into a computer readable medium.
[0097] It should be understood that aspects of the application can be implemented in hardware, software, firmware or combinations thereof. In the embodiments described above, various steps or methods can be implemented, for example in software or firmware, stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, and in another embodiment, any of the following technologies, known in the art, or combinations thereof, can be used: discrete logic circuitry having logic gates for implementing logic functions on data signals, application specific integrated circuits having appropriate combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), and the like.
[0098] Embodiment 4
[0099] For an embodiment of the present application, a power line entry isopotal dangerous point automatic labeling method is provided. In order to verify the beneficial effects of the present application, a simulation experiment is carried out for scientific demonstration.
[0100] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and are not limiting. Although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical solutions of the present application, and they should be covered in the scope of the claims of the present application.
Claims
1. A method for automatically marking equipotential danger points of transmission lines, characterized in that, include: The point cloud data of the transmission tower is obtained through the point cloud data acquisition module. After acquisition, the data is parsed by the parsing module. After parsing, the three-dimensional model of the transmission tower is constructed by the model building module based on the data parsed by the parsing module. The simulation electric field analysis module analyzes the distribution of the simulated electric field based on the 3D model, and the point cloud analysis module analyzes the information of the point cloud based on the 3D model. The dangerous location marking module marks dangerous locations on the 3D model based on the distribution of the simulated electric field and its point cloud information. This includes marking the dangerous locations in the transmission line on the 3D model accordingly. Next, the human action marking module marks dangerous actions that could cause danger based on the distribution of the simulated electric field and its point cloud information. This includes storing actions that cannot be performed when passing through a dangerous location and marking them at the dangerous location in the 3D model. This ensures that when passing through a dangerous location, the VR glasses will display that the stored actions cannot be performed at that dangerous location. After that, the dangerous gap marking module marks points where the gap does not meet the safety standards on the 3D model based on the distribution of the simulated electric field and its point cloud information. This includes storing the minimum gap distance to be passed when passing through a dangerous location and marking it at the dangerous location in the 3D model. The data annotated by the annotation module is displayed through VR glasses, and the data annotated by the annotation module is stored through the storage module. The image acquisition module captures the position and movements of the workers. After acquisition, the comparison module compares the data captured by the image acquisition module with the data stored in the storage module. This includes comparing the workers' current movements with stored dangerous movements to analyze whether the workers' current movements are a prelude to performing dangerous actions. If the workers are about to be in a dangerous position or about to perform a dangerous action, the vibration module will make the workers feel vibrations, and the playback module will play the data compared by the comparison module. In this way, the workers can be alerted.
2. A system employing the automatic marking method for equipotential danger points of transmission lines as described in claim 1, characterized in that, include: The system includes a 3D point cloud model building module (100), an analysis module (200), an annotation module (300), VR glasses (400), a storage module (500), and a detection module (600). The three-dimensional point cloud model building module (100) is used to build a three-dimensional model of the transmission tower based on the point cloud data of the transmission tower; The analysis module (200) is used to analyze the distribution of the simulated electric field and its point cloud information based on the three-dimensional model; The annotation module (300) is used to annotate information containing hazards based on the data analyzed by the analysis module; The VR glasses (400) are used to display the data annotated by the annotation module; The storage module (500) is used to store the data annotated by the annotation module; The detection module (600) is used to detect and analyze the behavior of the workers in order to analyze whether the workers are in a dangerous environment.
3. The system as described in claim 2, characterized in that: The three-dimensional point cloud model building module (100) includes a point cloud data acquisition module (101), a parsing module (102), and a model building module (103). The point cloud data acquisition module (101) is used to acquire point cloud data of the transmission tower; The parsing module (102) is used to parse the data acquired by the point cloud data acquisition module; The model building module (103) is used to build a three-dimensional model of the transmission tower based on the data parsed by the parsing module.
4. The system as described in claim 3, characterized in that: The analysis module (200) includes a simulation electric field analysis module (201) and a point cloud analysis module (202); The simulation electric field analysis module (201) is used to analyze the distribution of the simulation electric field based on the three-dimensional model; The point cloud analysis module (202) is used to analyze the information of the point cloud based on the three-dimensional model.
5. The system as described in claim 4, characterized in that: The labeling module (300) includes a danger location labeling module (301), a human action labeling module (302), and a danger gap labeling module (303). The dangerous location marking module (301) is used to mark dangerous locations on the three-dimensional model according to the distribution of the simulated electric field and the information of its point cloud; The human motion annotation module (302) is used to annotate dangerous actions that may cause danger based on the distribution of the simulated electric field and the information of its point cloud. The dangerous gap marking module (303) is used to mark the points on the three-dimensional model where the gap does not meet the safety standard according to the distribution of the simulated electric field and the information of its point cloud.
6. The system as described in claim 5, characterized in that: The detection module (600) includes an image acquisition module (601), a comparison module (602), and an alert module (603); The image acquisition module (601) is used to acquire the position and movements of the workers; The comparison module (602) is used to compare the data acquired by the image acquisition module with the data stored in the storage module; The reminder module (603) is used to remind the workers.
7. The system as described in claim 6, characterized in that: The reminder module (603) includes a vibration module (603a) and a playback module (603b). The vibration module (603a) is used to allow workers to feel the vibration; The playback module (603b) is used to play the data compared by the comparison module.
8. The system as described in claim 7, characterized in that: The three-dimensional point cloud model building module (100) is connected to the analysis module (200); the analysis module (200) is connected to the annotation module (300); the annotation module (300) is connected to the VR glasses (400); the annotation module (300) is connected to the storage module (500); the storage module (500) is connected to the detection module (600); the detection module (600) is mounted on the VR glasses; the point cloud data acquisition module (101) is connected to the parsing module (102); the parsing module (102) is connected to the model building module (103); the model building module (103) is connected to the simulation electric field analysis module (201); the simulation electric field analysis module (201) is connected to the point cloud analysis module (202); the point cloud analysis module (202) is connected to the analysis module (202); the analysis module (200) is connected to the analysis module (202); the analysis module (200) is connected to the analysis module (202); the analysis module (200) is connected to the analysis module (202); the analysis module (200) is connected to the analysis module (202); the analysis module (200) is connected to the analysis module (202); the analysis module (200) is connected to the analysis module (202); the analysis module (200) is connected to the analysis module (202); the analysis module (202 ... 02) Connected to the danger location marking module (301); the danger location marking module (301) is connected to the human body action marking module (302); the human body action marking module (302) is connected to the danger gap marking module (303); the danger gap marking module (303) is connected to the VR glasses (400); the image acquisition module (601) is connected to the comparison module (602), the comparison module (602) is connected to the reminder module (603), the comparison module (602) is also connected to the storage module (500); the danger gap marking module (303) is also connected to the storage module (500); the comparison module (602) is connected to the vibration module (603a), the vibration module (603a) is connected to the playback module (603b).
9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the automatic marking method for power transmission lines entering equipotential danger points as described in claim 1.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the automatic marking method for power transmission lines entering equipotential danger points as described in claim 1.
Citation Information
Patent Citations
Method and system for detecting dangerous point of overhead transmission line
CN109087034A
Three-dimensional map reconstruction system and method based on instant positioning and map construction
CN112233221A