| 基于图像处理与形态特征分析的智能变电站保护压板状态识别 |
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| 引用本文： | 付文龙,谭佳文,吴喜春,陈铁,胡文斌,钟浩.基于图像处理与形态特征分析的智能变电站保护压板状态识别[J].电力自动化设备,2019,39(7). |
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| 作者姓名： | 付文龙 谭佳文 吴喜春 陈铁 胡文斌 钟浩 |
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| 作者单位： | 三峡大学电气与新能源学院,湖北宜昌443002;三峡大学梯级水电站运行与控制湖北省重点实验室,湖北宜昌443002;国网湖北省电力有限公司宜昌供电公司,湖北宜昌,443000 |
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| 基金项目： | 国家自然科学基金资助项目(51741907)；梯级水电站运行与控制湖北省重点实验室开放基金资助项目(2017KJX06)；湖北省技术创新重大专项(2017AAA132)；宜昌市科技局应用基础研究项目(A17-302-a12) |
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| 摘 要： | 针对目前变电站二次保护压板仍多由人工进行位置读取和核对操作，存在误操作风险且制约着智能化水平提升的问题，提出了一种基于图像处理与形态特征分析的智能变电站保护压板状态识别方法。该方法首先对移动终端采集到的屏柜图像进行图像处理，将其转化为包含有效压板区域和背景干扰区域的二值图，进而采用8连通的方式进行连通区域提取并对所有区域进行形态特征分析，再依据形态特征从中提取出有效压板区域，最后依据有效压板区域方向角确定压板投退状态，同时结合各区域的重心确定屏柜上的有效压板顺序，进而得到表征屏柜压板投退状态的标识序列。不同场景和分辨率下的保护压板状态识别实例结果表明，所提方法具有较好的适用性。
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| 关 键 词： | 智能变电站 保护压板 图像处理 二值图 形态特征分析 投退状态 |
| 收稿时间： | 2018/5/24 0:00:00 |
| 修稿时间： | 2019/5/13 0:00:00 |
Protection platen status recognition based on image processing and morphological feature analysis for smart substation |
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| FU Wenlong,TAN Jiawen,WU Xichun,CHEN Tie,HU Wenbin and ZHONG Hao.Protection platen status recognition based on image processing and morphological feature analysis for smart substation[J].Electric Power Automation Equipment,2019,39(7). |
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| Authors: | FU Wenlong TAN Jiawen WU Xichun CHEN Tie HU Wenbin and ZHONG Hao |
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| Affiliation: | College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China; Hubei Key Laboratory of Cascaded Hydropower Stations Operation & Control, China Three Gorges University, Yichang 443002, China,College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China; Hubei Key Laboratory of Cascaded Hydropower Stations Operation & Control, China Three Gorges University, Yichang 443002, China,Yichang Power Supply Company, State Grid Hubei Electric Power Co.,Ltd.,Yichang 443000, China,College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China; Hubei Key Laboratory of Cascaded Hydropower Stations Operation & Control, China Three Gorges University, Yichang 443002, China,College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China; Hubei Key Laboratory of Cascaded Hydropower Stations Operation & Control, China Three Gorges University, Yichang 443002, China and College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China; Hubei Key Laboratory of Cascaded Hydropower Stations Operation & Control, China Three Gorges University, Yichang 443002, China |
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| Abstract: | |
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| Keywords: | smart substations protection platen image processing binary image morphological feature analysis on/off state |
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