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OA

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.