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输电线路巡检图像智能诊断系统
Alternative TitleIntelligent diagnosis system for patrol check images of power transmission lines
傅博; 姜勇; 王洪光; 姜文东; 宋屹峰; 王灿灿; 初金良; 赵彦平
Department空间自动化技术研究室
Source Publication智能系统学报
ISSN1673-4785
2016
Volume11Issue:1Pages:70-77
Indexed ByCSCD
CSCD IDCSCD:5662523
Contribution Rank1
Keyword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
Abstract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。
Other AbstractWith 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.
Language中文
Citation statistics
Cited Times:1[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/17823
Collection空间自动化技术研究室
Corresponding Author傅博
Affiliation1.中国科学院沈阳自动化研究所机器人学国家重点实验室
2.国家电网浙江省电力公司
3.国网浙江省电力公司丽水供电公司
4.国网山西省电力公司检修分公司
Recommended Citation
GB/T 7714
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,2016,11(1):70-77.
APA 傅博.,姜勇.,王洪光.,姜文东.,宋屹峰.,...&赵彦平.(2016).输电线路巡检图像智能诊断系统.智能系统学报,11(1),70-77.
MLA 傅博,et al."输电线路巡检图像智能诊断系统".智能系统学报 11.1(2016):70-77.
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