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油田电力线路无人机自动巡检技术研究

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针对油田电力公司架空线路跨越地形复杂、巡检人员老龄化、无人机操作人员短缺等问题,研究油田电力线路无人机自动巡检技术.依托超清矩阵拍摄和自动航线路径巡检功能,设计无人机自动巡检方案.使用蚁群算法和A-Star算法融合的方式,进行航线路径优化.通过试验,确认采用无人机自动巡检技术,可以减轻劳动强度,提高工作效率,为油田电力线路的巡检提供新方法.
In response to issues such as the complex terrain crossed by the overhead power line of the oilfield power company,the aging of inspection personnel,and the shortage of UAV operator,the UAV automatic inspection technology for oilfield power line was investigated.Leveraging ultra-high-definition matrix imaging and automatic flight path inspection functions,the automatic inspection scheme for UAV was designed.The Ant Colony Algorithm and A-Star Algorithm were combined for flight path optimization.Through experiment,it is confirmed that the adoption of UAV automatic inspection technology can reduce labor intensity,improve work efficiency,and provide a new method for the inspection of oilfield power line.

OilfieldPower LineUAVInspectionResearch

李凡、严川、荣伟、魏弘毅

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胜利石油管理局有限公司电力分公司 山东东营 257000

胜利石油管理局有限公司经营管理部 山东东营 257000

天津科技大学机械工程学院 天津 300222

油田 电力线路 无人机 巡检 研究

2024

上海电气技术
上海电气(集团)总公司

上海电气技术

影响因子:0.232
ISSN:1674-540X
年,卷(期):2024.17(4)