文献类型：期刊文献

中文题名：变电站二次系统设备屏柜线套标签智能识别系统

英文题名：Intelligent Identification System for Equipment Screen Cabinet Line Label of Substation Secondary System

作者：周健 李岩 张克声

第一作者：周健

机构：[1]江苏省送变电有限公司;[2]武汉映瑞电力科技有限公司;[3]贵州理工学院电气与信息工程学院

第一机构：江苏省送变电有限公司,江苏南京210000

年份：2018

卷号：36

期号：11

起止页码：67-70

中文期刊名：机械与电子

外文期刊名：Machinery & Electronics

收录：CSTPCD

语种：中文

中文关键词：变电站二次系统;屏柜端子排接线;深度学习;标签信息识别

外文关键词：Substation secondary system;screen cabinet wiring;deep learning algorithm;power supply reliability

摘要：给出了一种变电站二次系统设备屏柜线套标签智能识别系统的设计方案,阐述了构成该系统各模块之间的信号传递流程。通过基于人工智能深度学习算法的定位和识别拍摄的屏柜端子排现场接线照片,获取接线线套标签信息,将其与电子图纸中的接线标准信息进行对比,生成检查报告对运维人员进行接线错误实时警告提醒。从而减轻变电站运维人员的劳动强度,缩短操作时间,消除因接线错误所引起的变电站运行安全隐患。
We presented a design scheme of the intelligent identification system for the screen cabinet line label of secondary system equipment in a substation,and elaborated the signal transmission flow between each module of the system.Through the positioning and recognition based on the artificial intelligence deep learning algorithm,the information of the wiring line sets of the screen cabinets was compared with the wiring standard information in the electronic drawings,and an inspection report was generated to give a real time error warning on the operation and maintenance staff.As a result,the labor intensity of the operation and maintenance staff of substations can be reduced,the operation time can be shortened,and the potential safety hazards of substations caused by wiring errors can be eliminated.