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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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。
In order to solve the problem that secondary protection platen in substations is still mainly read and checked manually,which has the risk of misoperation and restricts the improvement of intelligent level,a novel re-cognition method of protection platen based on image processing and morphological feature analysis for smart substation is proposed. In this method,the cabinet image collected by mobile terminal is first processed and converted into a binary image containing valid platen regions and background interference regions. Then extraction of connected regions is achieved through eight-connection pattern and the morphological features of all regions are analyzed,accor-ding to which the valid platen regions are extracted. Finally,the platen's on/off state is determined based on the direction angle of the valid platen region respectively. Meanwhile,the order of valid platens on the cabinet is determined according to the center of gravity in each region,thus the identification sequence indicating the on/off state of the platens on the cabinet is obtained. The results of different collected image scenes and resolutions show that the proposed method possesses better applicability.
In order to solve the problem that secondary protection platen in substations is still mainly read and checked manually,which has the risk of misoperation and restricts the improvement of intelligent level,a novel re-cognition method of protection platen based on image processing and morphological feature analysis for smart substation is proposed. In this method,the cabinet image collected by mobile terminal is first processed and converted into a binary image containing valid platen regions and background interference regions. Then extraction of connected regions is achieved through eight-connection pattern and the morphological features of all regions are analyzed,accor-ding to which the valid platen regions are extracted. Finally,the platen's on/off state is determined based on the direction angle of the valid platen region respectively. Meanwhile,the order of valid platens on the cabinet is determined according to the center of gravity in each region,thus the identification sequence indicating the on/off state of the platens on the cabinet is obtained. The results of different collected image scenes and resolutions show that the proposed method possesses better applicability.
引文
[1] 陈福锋,俞春林,张尧,等.变电站继电保护就地化整体解决方案研究[J].电力自动化设备,2017,37(10):204-210.CHEN Fufeng,YU Chunlin,ZHANG Yao,et al.Research on integrated solution of on-site substation relay protection[J].Electric Power Automation Equipment,2017,37(10):204-210.
[2] 王玉磊,应黎明,陶海洋,等.基于效能-成本的智能变电站二次设备运维策略优化[J].电力自动化设备,2016,36(6):182-188.WANG Yulei,YING Liming,TAO Haiyang,et al.Operation-maintenance strategy optimization based on efficiency-cost sensitivity ana-lysis for secondary equipment of intelligent substation[J].Electric Power Automation Equipment,2016,36(6):182-188.
[3] 卜强生,高磊,闫志伟,等.智能变电站继电保护软压板防误操作策略及实现[J].电力自动化设备,2016,36(12):156-160.BU Qiangsheng,GAO Lei,YAN Zhiwei,et al.Strategy and implementation of soft-clamp misoperation prevention for smart substation protections[J].Electric Power Automation Equipment,2016,36(12):156-160.
[4] 笃峻,叶翔,葛立青,等.智能变电站继电保护在线运维系统关键技术的研究及实现[J].电力自动化设备,2016,36(7):163-168.DU Jun,YE Xiang,GE Liqing,et al.Key technologies of online main-tenance system for relay protections in smart substation and its implementation[J].Electric Power Automation Equipment,2016,36(7):163-168.
[5] 牛志刚,贾腾飞,徐庆录,等.智能压板系统在齐齐哈尔冯屯500 kV变电站中的应用[J].电力系统保护与控制,2010,38(23):219-222.NIU Zhigang,JIA Tengfei,XU Qinglu,et al.The application of intelligent platen system in Qiqihar Fengtun 500 kV substation[J].Power System Protection and Control,2010,38(23):219-222.
[6] 邓应松,段秦刚,宋小松.基于图像识别的保护压板投退状态辨识方法[J].陕西电力,2015,43(10):49-53.DENG Yingsong,DUAN Qingang,SONG Xiaosong.State identification of relaying plate based on image recognition[J].Shaanxi Electric Power,2015,43(10):49-53.
[7] 许超,陈昊,刘少情,等.基于模型聚类匹配和形态特征识别的保护压板状态辨识技术[J].陕西电力,2017,45(1):32-36.XU Chao,CHEN Hao,LIU Shaoqing,et al.Relaying plate condition recognition technology based on model-based cluster matching and morphological characteristics recognition[J].Shaanxi Electric Power,2017,45(1):32-36.
[8] 郭佳,刘晓玉,吴冰,等.一种光照不均匀图像的二值化方法[J].计算机应用与软件,2014,31(3):183-186.GUO Jia,LIU Xiaoyu,WU Bing,et al.Binarisation method for images acquired under non-uniform illumination[J].Computer Applica-tions and Software,2014,31(3):183-186.
[9] OTSU N.A threshold selection method from gray-level histograms[J].IEEE Transactions on Systems Man & Cybernetics,1979,9(1):62-66.
[10] 林玉池,崔彦平,黄银国.复杂背景下边缘提取与目标识别方法研究[J].光学精密工程,2006,14(3):509-512.LIN Yuchi,CUI Yanping,HUANG Yinguo.Study on edge detection and target recognition in complex background[J].Optics and Precision Engineering,2006,14(3):509-512.
[2] 王玉磊,应黎明,陶海洋,等.基于效能-成本的智能变电站二次设备运维策略优化[J].电力自动化设备,2016,36(6):182-188.WANG Yulei,YING Liming,TAO Haiyang,et al.Operation-maintenance strategy optimization based on efficiency-cost sensitivity ana-lysis for secondary equipment of intelligent substation[J].Electric Power Automation Equipment,2016,36(6):182-188.
[3] 卜强生,高磊,闫志伟,等.智能变电站继电保护软压板防误操作策略及实现[J].电力自动化设备,2016,36(12):156-160.BU Qiangsheng,GAO Lei,YAN Zhiwei,et al.Strategy and implementation of soft-clamp misoperation prevention for smart substation protections[J].Electric Power Automation Equipment,2016,36(12):156-160.
[4] 笃峻,叶翔,葛立青,等.智能变电站继电保护在线运维系统关键技术的研究及实现[J].电力自动化设备,2016,36(7):163-168.DU Jun,YE Xiang,GE Liqing,et al.Key technologies of online main-tenance system for relay protections in smart substation and its implementation[J].Electric Power Automation Equipment,2016,36(7):163-168.
[5] 牛志刚,贾腾飞,徐庆录,等.智能压板系统在齐齐哈尔冯屯500 kV变电站中的应用[J].电力系统保护与控制,2010,38(23):219-222.NIU Zhigang,JIA Tengfei,XU Qinglu,et al.The application of intelligent platen system in Qiqihar Fengtun 500 kV substation[J].Power System Protection and Control,2010,38(23):219-222.
[6] 邓应松,段秦刚,宋小松.基于图像识别的保护压板投退状态辨识方法[J].陕西电力,2015,43(10):49-53.DENG Yingsong,DUAN Qingang,SONG Xiaosong.State identification of relaying plate based on image recognition[J].Shaanxi Electric Power,2015,43(10):49-53.
[7] 许超,陈昊,刘少情,等.基于模型聚类匹配和形态特征识别的保护压板状态辨识技术[J].陕西电力,2017,45(1):32-36.XU Chao,CHEN Hao,LIU Shaoqing,et al.Relaying plate condition recognition technology based on model-based cluster matching and morphological characteristics recognition[J].Shaanxi Electric Power,2017,45(1):32-36.
[8] 郭佳,刘晓玉,吴冰,等.一种光照不均匀图像的二值化方法[J].计算机应用与软件,2014,31(3):183-186.GUO Jia,LIU Xiaoyu,WU Bing,et al.Binarisation method for images acquired under non-uniform illumination[J].Computer Applica-tions and Software,2014,31(3):183-186.
[9] OTSU N.A threshold selection method from gray-level histograms[J].IEEE Transactions on Systems Man & Cybernetics,1979,9(1):62-66.
[10] 林玉池,崔彦平,黄银国.复杂背景下边缘提取与目标识别方法研究[J].光学精密工程,2006,14(3):509-512.LIN Yuchi,CUI Yanping,HUANG Yinguo.Study on edge detection and target recognition in complex background[J].Optics and Precision Engineering,2006,14(3):509-512.