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输电线路巡检图像智能诊断系统

花匠小妙招
2024-11-12 17:24

[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,2016,11(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,2016,11(1):70-77.[doi:10.11992/tis.201503043]

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《智能系统学报》编辑部[ISSN 1673-4785/CN 23-1538/TP] 卷: 11 期数: 2016年第1期页码: 70-77 栏目: 学术论文—智能系统出版日期: 2016-02-25

Title: Intelligent diagnosis system for patrol check images of power transmission lines 作者: 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: robot; patrol check for power transmission line; intelligent diagnosis; image processing; batch detection; database; layered 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.

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.