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无人机航迹中电力线电晕紫外探测与定位
引用本文:赵太飞,郭嘉文,李晗辰,袁麓. 无人机航迹中电力线电晕紫外探测与定位[J]. 光学精密工程, 2019, 27(2): 309-315. DOI: 10.3788/OPE.20192702.0309
作者姓名:赵太飞  郭嘉文  李晗辰  袁麓
作者单位:西安理工大学自动化与信息工程学院 ,陕西西安,710048;陕西天思信息科技有限公司 ,陕西西安,710065
基金项目:国家自然科学基金 中国民航局民航联合研究基金资助项目(No.U1433110);陕西省重点产业链创新计划资助项目(No.2017ZDCXL GY 06 01);陕西省教育厅服务地方专项计划资助项目(No.17JF024);特殊环境机器人技术四川省重点实验室开放基金资助项目(No.17kftk04);西安市科技计划资助项目(No.CXY1835(4))
摘    要:在无人机电力线巡检中,为了能快速发现并定位绝缘子产生电晕放电现象的位置,对无人机航迹中的电力线电晕探测与定位方法进行了研究。分析了电晕放电功率检测模型,并得到放电源辐射出紫外光功率的公式。设计了具有高灵敏度的电晕探测设备,提出在无人机航迹中发现绝缘子缺陷的定位方法,通过两次不同角度对电力线铁塔探测,比较两次探测结果分析出缺陷绝缘子的位置。最后根据定位方法设计了对电火花和紫外LED探测实验。结果表明,该探测设备能准确探测出电火花产生的紫外光功率,受到紫外光在空气中损耗的影响,测量值随距离的增加而逐渐减小,且在不同距离情况下相对误差在11.5%之内。在紫外LED探测实验中,探测角度选择0°和15°时测量值较为准确。该方法在微弱电晕放电探测中准确有效,能够满足无人机在航迹中对电力线缺陷绝缘子的定位要求。

关 键 词:无人机航迹  紫外光  电晕探测  定位
收稿时间:2018-08-20

Power line corona ultraviolet detection and location in UAV track
ZHAO Taifei,GUO Jiawen,LI Hanchen,YUAN Lu. Power line corona ultraviolet detection and location in UAV track[J]. Optics and Precision Engineering, 2019, 27(2): 309-315. DOI: 10.3788/OPE.20192702.0309
Authors:ZHAO Taifei  GUO Jiawen  LI Hanchen  YUAN Lu
Affiliation:1.Faculty of Automation and Information Engineering, Xi′an University of Technology, Xi′an 710048, China;2.Shaanxi Tiansi Information Technology Co., Ltd, Xi′an 710065, China
Abstract:To detect and locate the corona discharge of insulators quickly in unmanned aerial vehicle (UAV) power line inspection, a corona detection and location method for power lines in a UAVs track was investigated. First, the corona discharge power detection model was analyzed and established, and a formula for ultraviolet radiation power from a discharge source was obtained. Then, a corona detection device with high sensitivity was designed, and a positioning method for finding insulator defects in a UAVs track was developed. This method was used to detect the power line tower from two different angles. By comparing the two detection results, the position of the defective insulator could be determined. Finally, a method for electro spark and ultraviolet (UV) light emitting diode (LED) detection based on location was designed. The results show that the detector can accurately detect the ultraviolet power produced by a spark. Influenced by the loss of UV light in the air, the measured value decreases with the increase of distance, and the relative error is within 11.5% at different distances. In the UV LED detection experiment, the measured values are more accurate when the detection angles are selected as 0° and 15°. In general, the method is accurate and effective in the detection of weak corona discharge, and it can meet the positioning requirements for defective power line insulators in a UAVs track.
Keywords:unmanned aerial vehicle track   Ultraviolet   Corona detection   Location
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