基于无人机和图像缺陷识别算法的输电线路巡检系统研究
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摘要
人工巡检输电线路具有效率低、危险性高等问题,文中基于无人机和图像缺陷识别算法,设计并开发了一套输电线路巡检系统。该系统利用无人机巡检输电线路,在自主避障的同时,将高清图像传输回地面站;地面站通过图像缺陷识别算法,经过图像预处理、特征分析、识别等操作,智能识别输电线路的散股、绝缘子自爆等缺陷。经过长期反复测试,该系统运行稳定、操作简单、检测效果良好,能够有效提高输电线路巡检的效率,并降低巡检难度及危险性,具有一定的实用价值。
The manual inspection of transmission lines has the problems of low efficiency and high risk.Herein,a transmission line inspection system is designed and developed based on the UAV and image defect recognition algorithm. The system uses the UAV which has the ability to autonomously avoid the obstacle to inspect the transmission line,and transmits the high-definition image back to the ground station. The ground station uses the image defect recognition algorithm to intelligently identify the transmission line through image preprocessing,features analysis and recognizing defects such as selfdestructive insulators and scattered stocks. After long-term repeated testing,the system is found out to operate stable with advantages of simple handling and accurate detection,which can effectively improve the efficiency of transmission line inspection,reduce the difficulty and the danger,and have certain practical value in the areas of transmission line inspection.
The manual inspection of transmission lines has the problems of low efficiency and high risk.Herein,a transmission line inspection system is designed and developed based on the UAV and image defect recognition algorithm. The system uses the UAV which has the ability to autonomously avoid the obstacle to inspect the transmission line,and transmits the high-definition image back to the ground station. The ground station uses the image defect recognition algorithm to intelligently identify the transmission line through image preprocessing,features analysis and recognizing defects such as selfdestructive insulators and scattered stocks. After long-term repeated testing,the system is found out to operate stable with advantages of simple handling and accurate detection,which can effectively improve the efficiency of transmission line inspection,reduce the difficulty and the danger,and have certain practical value in the areas of transmission line inspection.
引文
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[2]王时哲,毛吉贵,王波,等.架空输电线路自主巡检机器人规划设计[J].宁夏电力,2012(3):44-49.
[3] Zhao J Q,Yao Y,Qiu W H,et al. Study on intelligent early warning system based on transmission line on-line inspection system[J].Power System Protection&Control,2013,41(23):49-54.
[4] Wang Z H,Huang X N,Liang K,et al. Study on the Transmission Line Inspection System Based on Quadrotor UAVs[J]. Electric Power,2012.
[5]杨成顺,杨忠,葛乐,等.基于多旋翼无人机的输电线路智能巡检系统[J].济南大学学报:自然科学版,2013,27(4):358-362.
[6]安楠.多旋翼无人机在输电线路巡检中的应用[J].工程技术:文摘版,2016(6):146-146.
[7]吴飞龙,林韩,汤明文,等.多种中继方式在大型无人机输电线路巡检中的应用[J].中国电力,2015,48(2):104-110.
[8]姚佳,唐国红,谌玲.基于压缩感知的输电线路状态监视图像传输[J].电子科技,2014,27(4):159-161.
[9]张少平.输电线路典型目标图像识别技术研究[D].南京:南京航空航天大学,2012.
[10]仝卫国,苑津莎,李宝树.图像处理技术在直升机巡检输电线路中的应用综述[J].电网技术,2010(12):204-208.
[11]MichawlOtey,PaulContea,Otey,等. SQL Server2000开发指南[M].北京:清华大学出版社,2002.
[12]杨蔚,周辉,杨生兰,等.输电线路巡检绝缘子跟踪与测距技术[J].电子科技,2017,30(5):124-127.
[13]安宁.多尺度的绝缘子图像跟踪技术研究[D].成都:电子科技大学,2015.
[14]马伟,吴靖,章玮明,等.基于多源信息的输电线路故障定位新方案[J].浙江电力,2017,36(8):24-28.
[15]薛波.基于多源信息的配电网故障定位[D].济南:山东大学,2014.
[16]韩冰,尚方.面向无人机输电线路巡检的电力杆塔检测框架模型[J].浙江电力,2016,35(4):6-11.