[1]傅博,姜勇,王洪光,等.输电线路巡检图像智能诊断系统[J].智能系统学报编辑部,2016,(1):70-77.[doi:10.11992/tis.201503043]
 FU Bo,JIANG Yong,WANG Hongguang,et al.Intelligent diagnosis system for patrol check images of power transmission lines[J].CAAI Transactions on Intelligent Systems,2016,(1):70-77.[doi:10.11992/tis.201503043]
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输电线路巡检图像智能诊断系统(/HTML)
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《智能系统学报》编辑部[ISSN:1673-4785/CN:23-1538/TP]

卷:
期数:
2016年1期
页码:
70-77
栏目:
出版日期:
2016-02-25

文章信息/Info

Title:
Intelligent diagnosis system for patrol check images of power transmission lines
作者:
傅博1 姜勇1 王洪光1 姜文东2 宋屹峰1 王灿灿3 初金良3 赵彦平4
1. 中国科学院沈阳自动化研究所机器人学国家重点实验室, 辽宁沈阳 110016;
2. 国家电网浙江省电力公司, 浙江杭州 310007;
3. 国网浙江省电力公司丽水供电公司, 浙江丽水 323000;
4. 国网山西省电力公司检修分公司, 山西太原 030000
Author(s):
FU Bo1 JIANG Yong1 WANG Hongguang1 JIANG Wendong2 SONG Yifeng1 WANG Cancan3 CHU Jinliang3 ZHAO Yanping4
1. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China;
2. State Grid Zhejiang Electric Power Company, Hangzhou 310007, China;
3. Lishui Power Supply Company, Lishui 323000, China;
4. State Grid Shanxi Electric Power Maintenance Company, Taiyuan 030000, China
关键词:
机器人输电线路巡检智能诊断图像处理批量检测数据库分层软件结构
Keywords:
robotpatrol check for power transmission lineintelligent diagnosisimage processingbatch detectiondatabaselayered software structure
分类号:
TP311.1
DOI:
10.11992/tis.201503043
摘要:
随着电网系统对安全性的要求不断提高,机器人等自动化设备越来越多地应用到电力巡检中,人工手段对设备采集的图像进行缺陷检测存在效率低、检测结果不稳定的缺点。为此提出并开发了一种输电线路巡检图像智能诊断系统。在系统中构建了分层软件结构,基于Visual Studio 2010开发环境,开发了图像导入、数据库访问、文本输出等功能模块,使用了多种检测算法,且利用ADO技术以实现对数据库的访问和修改。软件测试的结果表明该系统具有工作效率高、错误率低、界面友好等优点,适用于输电线路巡检图像的检测工作。
Abstract:
With the growing demand for safety in power systems, more automatic equipment is being used for power inspection. The manual detection of defects from equipment-collected images has a number of drawbacks, including low efficiency and unreliable detection results. In this study, we propose an intelligent diagnosis system for patrol check images of power transmission lines. In the proposed system, we constructed a layered software structure, and using the Visual Studio 2010 development environment, we developed an image importing module, a database access module, and a text output module. We also applied various diagnostic algorithms in the system. Based on Microsoft’s ADO technology, we entered access and modification operations into the database. The software test results show that the system has a number of advantages, including high efficiency, a low error rate, and a user-friendly interface. It is readily applicable for detection of defects in patrol check images of power transmission lines.

参考文献/References:

[1] 王专忠, 胡晓光, 耿鑫. 一种基于图像处理的输电线路覆冰监测方法[J]. 中国测试, 2011, 37(2):1-4. WANG Zhuanzhong, HU Xiaoguang, GENG Xin. Method of monitoring icing for transmission line based on image processing[J]. China measurement & test, 2011, 37(2):1-4.
[2] 蒋兴良, 夏云峰, 张志劲, 等. 基于优化Gabor滤波器的输电导线断股图像检测[J]. 电力系统自动化, 2011, 35(15):78-83. JIANG Xingliang, XIA Yunfeng, ZHANG Zhijin, et al. Image detection for broken strand faults of transmission conductor based on optimized gabor filter[J]. Automation of electric power systems, 2011, 35(15):78-83.
[3] 单成, 吴洪潭, 石成龙, 等. 图像处理中的绝缘子缺陷检测方法[J]. 中国计量学院学报, 2010, 21(4):297-300, 304. SHAN Cheng, WU Hongtan, SHI Chenglong, et al. Defect detection method on insulators by image processing[J]. Journal of China University of metrology, 2010, 21(4):297-300, 304.
[4] PAN Lizhi, XIAO Xiaohui. Image recognition for on-line vibration monitoring system of transmission line[C]//Proceedings of the 9th International Conference on Electronic Measurement & Instruments. Beijing, China, 2009:3-1078-3-1081.
[5] LI W H, TAJBAKHSH A, RATHBONE C, et al. Image processing to automate condition assessment of overhead line components[C]//Proceedings of the 1st International Conference on Applied Robotics for the Power Industry. Montreal, QC, Canada, 2010:1-6.
[6] 刘国海, 朱珠. 图像处理技术在超高压巡检机器人视觉系统中的应用研究[J]. 计算机工程与设计, 2009, 30(1):136-140. LIU Guohai, ZHU Zhu. Application study of image processing technology applied in vision system of inspection robot on power transmission lines[J]. Computer engineering and design, 2009, 30(1):136-140.
[7] 魏振中. 超高压输电线路智能巡检机器人的视觉监控系统研究[D]. 沈阳:沈阳工业大学, 2004:60-68. WEI Zhenzhong. A visual inspection system of patrol robot for EHV power line[D]. Shenyang, China:Shenyang University of Technology, 2004:60-68.
[8] 王小朋, 胡建林, 吴彬. 输电线路覆冰图像边缘提取方法研究[J]. 高电压技术, 2008, 34(12):2687-2693. WANG Xiaopeng, HU Jianlin, WU Bin, et al. Study on edge extraction methods for image-based icing on-line monitoring on overhead transmission lines[J]. High voltage engineering, 2008, 34(12):2687-2693.
[9] 宋屹峰, 王洪光, 李贞辉, 等. 基于视觉方法的输电线断股检测与机器人行为规划[J]. 机器人, 2015, 37(2):204-211, 223. SONG Yifeng, WANG Hongguang, LI Zhenhui, et al. Vision based transmission line broken strand detection and robot behaviour planning[J]. Robot, 2015, 37(2):204-211, 223.
[10] 夏志昌, 张伟, 王吉如. 珊溪水电厂巡检数据库系统的设计与实现[J]. 制冷空调与电力机械, 2009, 30(3):85-87. XIA Zhichang, ZHANG Wei, WANG Jiru. Design and implementation of tour inspection database system for Shanxi hydropower plant[J]. Refrigeration air conditioning & electric power machinery, 2009, 30(3):85-87.
[11] 王宝祥. 基于ADO.NET的数据库访问技术研究[J]. 计算机应用与软件, 2004, 21(2):120-122. WANG Baoxiang. Study of database access technology using ADO.NET method[J]. Computer applications and software, 2004, 21(2):120-122.
[12] SUN Fengjie, LI Yuanyuan, FAN Jieqing. Monitoring method of transmission line based on video image recognition technique[C]//Proceedings of International Conference on Business Management and Electronic Information. Guangzhou, China, 2011:136-139.
[13] 李萍. 一种图像数据库管理系统的实现方法[C]//图像、仿真、信息技术第二届联合学术会议论文集. 南昌, 中国, 2002:4.
[14] 张少平, 杨忠, 黄宵宁, 等. 航拍图像中玻璃绝缘子自爆缺陷的检测及定位[J]. 太赫兹科学与电子信息学报, 2013, 11(4):609-613. ZHANG Shaoping, YANG Zhong, HUANG Xiaoning, et al. Defects detection and positioning for glass insulator from aerial images[J]. Journal of terahertz science and electronic information technology, 2013, 11(4):609-613.
[15] 金立军, 姚春羽, 闫书佳, 等. 基于航拍图像的输电线路异物识别[J]. 同济大学学报:自然科学版, 2013, 41(2):277-281. JIN Lijun, YAO Chunyu, YAN Shujia, et al. Recognition of extra matters on transmission lines based on aerial images[J]. Journal of Tongji University:natural science, 2013, 41(2):277-281.
[16] 金立军, 胡娟, 闫书佳. 基于图像的高压输电线间隔棒故障诊断方法[J]. 高电压技术, 2013, 39(5):1040-1045. JIN Lijun, HU Juan, YAN Shujia. Method of spacer fault diagnose on transmission line based on image procession[J]. High voltage engineering, 2013, 39(5):1040-1045.

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备注/Memo

备注/Memo:
收稿日期:2015-03-27;改回日期:。
作者简介:傅博,男,1987年生,研究实习员,主要研究方向为多传感器数据融合技术、软件设计;姜勇,男,1975年生,副研究员,博士,主要研究方向为机器人控制、智能控制理论与方法、嵌入式控制系统、特种机器人系统与应用等。发表学术论文20余篇;王洪光,男,1965年生,研究员,博士生导师,主要研究方向为机器人机构学、特种机器人和机电一体化技术等。发表学术论文70余篇,获得发明和实用新型专利30余项。
通讯作者:傅博.E-mail:fubo@sia.cn.
更新日期/Last Update: 1900-01-01