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作 者:胡健[1] 胡青璞 HU Jian;HU Qing-Pu(School of Electrical Engineering,Yellow River Conservancy Technical Institute,Kaifeng 475000,China)
机构地区:[1]黄河水利职业技术学院电气工程学院,河南开封475004
出 处:《长江信息通信》2024年第8期125-127,共3页Changjiang Information & Communications
摘 要:线损指的是在电力传输过程中因线路阻抗和其他因素导致的能量损失。传统的线损检测方法依赖于物理检测工具和人工巡检,但这些方法既耗时又费力,且无法实时监测线路状态。近年来,图像识别技术的发展为输电线路的线损检测提供了新的解决方案。文章综合考察了输电线路线损检测的影响因素,并详细分析了基于图像识别技术的线损检测方法,包括线损提取、线路断裂检测以及线损原因的识别,展示了这些技术在实际系统中的测试结果,验证了图像识别在输电线路线损检测中的有效性,并为未来的研究和应用提供参考。Line loss refers to the energy loss caused by line impedance and other factors in the process of power transmission.Traditional line loss detection methods rely on physical detection tools and manual inspection,but these methods are time-consuming and laborious,and can not monitor the status of the line in real timc.In rcent years,the development of image recognition technology provides a new solution for line loss detection of transmission lines.In this paper,the influence factors of transmission line loss detection are comprehensively investigated,and the line loss detection methods based on image recognition technology are analyzed in detail,including line loss extraction,line break detection and line loss cause identification.The test results of these technologies in actual systems are shown,and the effectiveness of image recognition in transmission line loss detection is verified.It also provides reference for future research and application.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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