In response to the growing demand of drone power inspections and overcome the defects of ex-isting inspection methods,this paper proposes and studies a multi-stage drone dock site selection meth-od.First,the CIPS method is used to identify candidate sites.Secondly,a multi-objective and multi-stage drone dock location model was established considering the stage-opening characteristics of the nest.Fi-nally,the NSGA-Ⅲ algorithm is applied to solve this model using the real world case of Xuzhou City.Re-sults show that the demand coverage rate of the final site selection plan is as high as 94.7％,and the de-mand duplication coverage rate is only 14.5％.Therefore,the location problem proposed in this article can achieve optimal coverage of inspection,while saving construction costs,which is of some practical val-ue for the electric power inspection department in the nest location.
关键词
无人机巡检/机巢布点/多阶段选址/多目标优化/NSGA-Ⅲ算法
Key words
drone inspection/drone dock location/multi-stage location/multi-objective optimization/NS-GA-Ⅲ algorithm
维普
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