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作 者:刘隆晨 杨玥坪 陈少卿 张鹏[2] 曹运龙 余人 LIU Longchen;YANG Yueping;CHEN Shaoqing;ZHANG Peng;CAO Yunlong;YU Ren(Electric Power Research Institute,State Grid Sichuan Electric Power Company,Chengdu 610041,China;Ultra High Voltage DC Center,State Grid Sichuan Electric Power Company,Chengdu 610000,China;Power Internet of Things Key Laboratory of Sichuan Province,Chengdu 610041,China)
机构地区:[1]国网四川省电力公司电力科学研究院,成都610041 [2]国网四川省电力公司特高压直流中心,成都610000 [3]电力物联网四川省重点实验室,成都610041
出 处:《电源学报》2024年第3期272-280,共9页Journal of Power Supply
基 金:国网四川省电力公司科技项目(52199723000B);四川省自然科学基金资助项目(2023NSFSC0818)。
摘 要:随着特高压直流输电技术飞速发展,换流阀阀基电子VBE(valve base electronics)设备的稳定性对于保障直流输电的可靠性和效率至关重要。VBE设备电路板缺陷,如短路和失效元件,直接影响直流系统稳定性,而现有的检测方法,包括人工显微镜检查和自动检测算法,常受限于效率低和准确性不足。针对该问题,提出一种基于点模式匹配的自动视觉检测方法,通过生成代表关键区域的点模式并进行匹配来提高检测的效率和准确率。通过实验验证,所提方法在检测速度和准确性方面相较于传统方法有显著提升,适合于生产线上的快速质量控制,为提高直流输电设备的质量提供了有效的技术方案。With the rapid development of ultra high voltage direct current(DC)power transmission technology,the stability of valve base electronics(VBE)device is crucial for ensuring the reliability and efficiency of DC power tra-nsmission.The defects in VBE device circuit boards,such as short circuits and failed components,directly affect the system stability.However,the existing detection methods including manual microscopic inspection and automatic detection algorithms are often limited by their low efficiency and insufficient accuracy.In this paper,an automatic visual inspection method based on point pattern matching is proposed to address these challenges.This method significantly improves its detection accuracy and efficiency by generating point patterns that represent key areas and further matching them,which is particularly suitable for rapid quality control on production lines.Experimental validation shows that the proposed method significantly outperforms the traditional methods in terms of detection speed and accuracy,providing an effective technical solution for improving the quality of DC power transmission equipment and demonstrating important practical value.
关 键 词:阀基电子设备 缺陷检测 点模式匹配方法 图像数据分析
分 类 号:TM23[一般工业技术—材料科学与工程]
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