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基于直线检测法的变电站开关状态图像识别系统的研究

Research on Substation Switch State Image Recognition System Based on Line Detection

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【作者】 孟令枫杨兴于晓春邓梅于永进

【Author】 Meng Ling-feng;Yang Xing;Yu Xiao-chun;Deng Mei;Yu Yong-jin;College of Electrical Engineering and Automation,Shandong University of Science and Technology;State Grid Shandong Huangdao Qingdao Electric Power Company;

【机构】 山东科技大学电气与自动化工程学院国网山东省电力公司青岛市黄岛区供电公司

【摘要】 为了克服人工现场确认开关位置状态的缺点,实现断路器、隔离开关位置的自动识别,提高变电站的开关设备远程监管能力,设计研究了一套远程变电站开关设备状态图像识别系统,该系统以SIFT、图像灰度法、二值法、霍夫变换等理论算法为核心,借助高速的DSP芯片为平台,对CCD摄像头采集到的开关图像进行分、合状态识别,然后通过以太网将监视图片上传至远方监控室。试验表明该识别系统开关状态分辨准确迅速,可极大地提高开关设备监控安全和效率,具有很高的推广价值。

【Abstract】 In order to overcome the shortcomings of the artificial site to confirm the position of the switch,realize the automatic identification of the circuit breaker and the isolation switch,improve the remote supervision ability of the switch equipment,a set of remote substation switch equipment state image recognition system is designed and studied.The system is based on SIFT,image gray method,two value method,hough transform theory algorithm as the core,and identify the switch state of images collected by CCD with the high speed DSP chip,and then through the Ethernet upload monitor pictures to the remote control room.The test results show that the switch state of the recognition system can be resolved quickly and accurately,which can greatly improve the safety and efficiency of safety supervision of switchgear,and has a high value of promotion.

【基金】 国家自然科学基金(61503224)项目资助
  • 【文献出处】 电子质量 ,Electronics Quality , 编辑部邮箱 ,2017年04期
  • 【分类号】TP391.41
  • 【被引频次】7
  • 【下载频次】220
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