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基于无人机自主巡检技术的抽水蓄能站巡检任务规划模型

毛鹏飞 刘晔 张杰 杨晓宇 谢晓君

微型电脑应用2026,Vol.42Issue(2):163-167,5.
微型电脑应用2026,Vol.42Issue(2):163-167,5.

基于无人机自主巡检技术的抽水蓄能站巡检任务规划模型

A Planning Model for Inspection Tasks of Pumped Storage Stations Based on Autonomous Inspection Technology of Unmanned Aerial Vehicles

毛鹏飞 1刘晔 1张杰 1杨晓宇 1谢晓君1

作者信息

  • 1. 内蒙古电力(集团)有限责任公司航检分公司,内蒙古,呼和浩特 010020
  • 折叠

摘要

Abstract

In order to improve the inspection effectiveness of pumped storage stations,this paper designs a planning model for the inspection tasks of pumped storage stations based on autonomous inspection technology of unmanned aerial vehicles(UAV).Taking the minimum cost and maximum coverage as the objective function,and endurance time,number of UAVs,closed loop of UAV flight routes and variables as constraints,an improved ant colony optimization algorithms is used to solve the optimal solution of the inspection task planning model of the pumped storage station based on UAV autonomous inspection technology,that is,the optimal planning scheme of the inspection tasks of pumped storage station based on UAV autonomous inspection technology,so as to realize the inspection of pumped storage station.The experimental results show that the pro-posed method has strong robustness in both simple and complex environments,can achieve convergence in a short time,and has clear directionality,has a high search ability for UAV flight paths and can quickly obtain the optimal UAV path.To complete the inspection task of the pumped storage station,it is necessary to arrange at least four UAVs to inspect the inspection target area of the pumped storage station,with an average coverage rate of 90.34%,which can effectively improve the planning effect of inspection tasks for pumped storage stations.

关键词

无人机/自主巡检技术/抽水蓄能站/巡检任务/规划模型/改进蚁群算法

Key words

unmanned aerial vehicles/autonomous inspection technology/pumped storage station/inspection tasks/planning model/improved ant colony algorithm

分类

信息技术与安全科学

引用本文复制引用

毛鹏飞,刘晔,张杰,杨晓宇,谢晓君..基于无人机自主巡检技术的抽水蓄能站巡检任务规划模型[J].微型电脑应用,2026,42(2):163-167,5.

微型电脑应用

1007-757X

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