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作 者:汪晨 孙伟 郑蓓 吕灯明 WANG Chen;SUN Wei;ZHENG Bei;LYU Dengming(State Grid Wuhu Electric Power Supply Company,Wuhu 241000,China)
机构地区:[1]国网安徽省电力有限公司芜湖供电公司,安徽芜湖241000
出 处:《微电子学与计算机》2023年第12期53-60,共8页Microelectronics & Computer
基 金:国网芜湖供电公司科技项目(B312C022000H)。
摘 要:工作人员与变电站周界相互位置关系多变,监测与维护工作量大,针对系统干扰性较弱、误报率和漏报率较高、违章行为图像清晰度较低的问题,研究机器视觉的变电站数字化违章行为三维虚拟周界监测方法.在变电站作业区域安装激光器和摄像头,构建闭环区域,通过激光器预警作业人员违章行为,抓拍作业人员违章行为图像,经图像对比度增强、分割、匹配处理后,将静态违章行为图像变为三维动态图像,经卷积层的卷积处理,强化三维动态违章行为图像特征,通过子采样层、池化层、全连接层的特征降维、压缩、整合后,通过Softmax层识别作业人员违章行为,对作业人员实施违章行为周界监测.实验证明,周界探测装置具备灵敏度高、检测距离远、抗干扰性强、误报率和漏报率较低等优势,并数字化呈现监测结果,保护作业人员人身安全.The relationship between the staff and the perimeter of the substation is changeable,and the workload of monitoring and maintenance is heavy.Aiming at the problems of strong system interference,high false alarm rate and missing alarm rate,and low image clarity of violations,a three-dimensional virtual perimeter monitoring method for digital violations of the substation based on machine vision is studied.The laser and camera are installed in the operation area of the substation to build a closed loop area.The laser alerts operators'violations and captures the images of operators'violations.After image contrast enhancement,segmentation and matching,the static violations are transformed into three-dimensional dynamic images.After convolution processing of the convolution layer,the characteristics of three-dimensional dynamic violations are strengthened.Through sub sampling layer,pooling layer after dimension reduction,compression and integration of the characteristics of the full connection layer,the Softmax layer is used to identify violations of operators and monitor the perimeter of violations of operators.The experiment proves that the perimeter detection device has the advantages of high sensitivity,long detection distance,strong anti-interference,low false alarm rate and missing alarm rate,and digitally presents the monitoring results to protect the personal safety of operators.
关 键 词:数字变电站 机器视觉 违章行为 激光器 静态图像 卷积神经网络 周界监测
分 类 号:TP183[自动化与计算机技术—控制理论与控制工程]
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