Routing inspection scene based unmanned aerial vehicle patrol path planning method

A path planning and machine patrol technology, applied in the direction of genetic models, genetic rules, navigation calculation tools, etc., can solve the problem of short flight distance, achieve the effect of reducing workload and difficulty, and reducing the amount of collection

Inactive Publication Date: 2018-11-20
广东电网有限责任公司机巡作业中心
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AI Technical Summary

Problems solved by technology

Due to the constraints of the UAV's own physical performance, some flight actions and paths cannot be completed, and the maximum inspection distance and time are limited. UAVs need to traverse the best shooting points when patrolling and shooting. In order to improve the inspection efficiency, planning is required. An optimal shooting path, that is, according to the shooting path, the drone passes each shooting point once and only once, and the total flight distance is the shortest

Method used

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  • Routing inspection scene based unmanned aerial vehicle patrol path planning method
  • Routing inspection scene based unmanned aerial vehicle patrol path planning method
  • Routing inspection scene based unmanned aerial vehicle patrol path planning method

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings. The accompanying drawings are only for illustrative purposes and should not be construed as limitations on this patent.

[0031] Such as figure 1 As shown, a method for planning a machine patrol path based on a patrol inspection scene includes the following steps:

[0032] S1: Obtain inspection scene information: obtain real-time inspection scene information including inspection line information and inspection weather information. The inspection line information includes line grade, pole tower, and wire model split number; inspection weather information includes coordinate information, altitude Altitude, air temperature, wind speed, wind direction, atmospheric pressure. Among them, the inspection line information is connected to the data by the production system, and the inspection meteorological information is connected to the data by the meteorological information int...

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Abstract

The invention relates to the technical field of power routing inspection, more specifically, and relates to a routing inspection scene based unmanned aerial vehicle patrol path planning method. Basedon quasi-real-time meteorological environment information tracking analysis and unmanned aerial vehicle patrol work plan intelligent making, appropriate constraint conditions can be selected by adopting a combination of improved genetic algorithm thought and unmanned aerial vehicle transmission line routing inspection path planning problems, routing inspection path planning functions can be established, and the optimal routing inspection path can be found. The collection amount of unmanned aerial vehicle video pictures can be effectively reduced, and the workloads and difficulties of artificial image analysis and fault identification can be reduced.

Description

technical field [0001] The present invention relates to the technical field of electric power inspection, and more specifically, to a method for planning a machine inspection path based on an inspection scene. Background technique [0002] Transmission lines are distributed in a wide range, and the environment is generally harsh, so they will inevitably be damaged. If the problem cannot be found and dealt with in time, it will bring great hidden dangers to the stable operation of transmission lines. UAV inspections can reduce inspection costs, minimize losses caused by line failures, and ensure the normal operation of transmission lines. [0003] The path planning in UAV transmission line inspection plays an important role in the safe operation of the line and the emergency treatment of sudden line failures. Due to the constraints of the UAV's own physical performance, some flight actions and paths cannot be completed, and the maximum inspection distance and time are limite...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/20G06N3/12
CPCG01C21/20G06N3/126
Inventor 张峰彭炽刚陈浩翟瑞聪柳亦钢许志海王年孝廖如超耿大庆张武英
Owner 广东电网有限责任公司机巡作业中心
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