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Energy Consumption-Driven UAV Dock Deployment Planning for Power Inspection
by
Shao, Guiwei
, Wu, Shaolong
, Cai, Huanqing
, Wu, Huaxi
, Yang, Bisheng
, Chen, Chi
, Fu, Jing
, Wang, Zhiye
in
Deployment
/ Dock facilities
/ Docks
/ Energy
/ Energy consumption
/ Inspection
/ Performance indices
/ Spatial analysis
2024
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Energy Consumption-Driven UAV Dock Deployment Planning for Power Inspection
by
Shao, Guiwei
, Wu, Shaolong
, Cai, Huanqing
, Wu, Huaxi
, Yang, Bisheng
, Chen, Chi
, Fu, Jing
, Wang, Zhiye
in
Deployment
/ Dock facilities
/ Docks
/ Energy
/ Energy consumption
/ Inspection
/ Performance indices
/ Spatial analysis
2024
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Do you wish to request the book?
Energy Consumption-Driven UAV Dock Deployment Planning for Power Inspection
by
Shao, Guiwei
, Wu, Shaolong
, Cai, Huanqing
, Wu, Huaxi
, Yang, Bisheng
, Chen, Chi
, Fu, Jing
, Wang, Zhiye
in
Deployment
/ Dock facilities
/ Docks
/ Energy
/ Energy consumption
/ Inspection
/ Performance indices
/ Spatial analysis
2024
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Energy Consumption-Driven UAV Dock Deployment Planning for Power Inspection
Journal Article
Energy Consumption-Driven UAV Dock Deployment Planning for Power Inspection
2024
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Overview
As an important energy in modern society, the stable operation of electricity is the guarantee of social and economic operation, and the loss caused by the damage of power facilities is immeasurable, so the regular monitoring of power facilities is indispensable. UAVs, with flexible flight mode, have played an important role in power inspection. With the development of UAV docks, UAV inspection has entered a new stage. However, due to the fixed location of the docks and limited coverage, how to achieve the optimal deployment of the docks with the lowest cost and full coverage of power facilities through reasonable deployment is one of the important issues that need to be solved at this stage of dock construction. To solve this problem, this paper proposes an energy-driven adaptive optimization method for dock location by combining geospatial analysis with UAV performance index. The experiment results show that our method can achieve an efficient, reasonable and feasible optimal location for UAV dock deployment.
Publisher
Copernicus GmbH,Copernicus Publications
Subject
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