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基于智能技术的配电柜接线快速检测方法
引用本文:丁家皓,李柏岩,刘晓强,涂文奇,郑佳明.基于智能技术的配电柜接线快速检测方法[J].计算机测量与控制,2022,30(8):44-49.
作者姓名:丁家皓  李柏岩  刘晓强  涂文奇  郑佳明
作者单位:东华大学,,,,
摘    要:配电柜是电气系统中不可或缺的设备之一;在配电柜制作过程中,线路接线的正确性检测是一个繁琐、耗时、易出错的工作,难以实现自动化;目前配电柜接线的检测工作主要由人工完成,由专业技术人员根据电路接线图查找器件、接线端子进行检测;为降低接线检测人员的工作强度,提高检测工作效率,设计并实现了一种智能接线检测辅助系统;提出了一种用虚实结合的分层面板接线布局图来引导检测人员快速定位检测点的方法,减少了检测点查找时间,提高了工作效率;针对系统中面板接线布局图绘制问题,设计并实现了一个人机交互绘制界面,并结合计算机视觉领域技术,提出一种基于YOLOX的电子器件检测方法,通过对配电柜上的常用电子器件进行识别和定位,实现了面板接线布局图的快速生成,提高了配线质量检测工作的效率。

关 键 词:智能制造  计算机视觉  配电柜面板  接线检测  目标检测算法
收稿时间:2022/2/21 0:00:00
修稿时间:2022/3/29 0:00:00

A fast detection method of distribution cabinet wiring based on Intelligent Technology
Abstract:Distribution cabinet is one of the indispensable equipment in electrical system; In the manufacturing process of distribution cabinet, the correctness detection of line wiring is a cumbersome, time-consuming and error prone work, which is difficult to realize automation; At present, the detection of the wiring of the distribution cabinet is mainly completed manually, and the professional technicians find the devices and wiring terminals according to the circuit wiring diagram for detection; In order to reduce the work intensity of wiring inspection personnel and improve the inspection efficiency, an intelligent wiring inspection auxiliary system is designed and implemented; A method of using the hierarchical panel wiring layout with the combination of virtual and real to guide the inspectors to quickly locate the detection points is proposed, which reduces the search time of the detection points and improves the work efficiency; Aiming at the problem of panel wiring layout drawing in the system, a man-machine interactive drawing interface is designed and implemented. Combined with the technology in the field of computer vision, an electronic device detection method based on YOLOX is proposed. By identifying and locating the common electronic devices on the distribution cabinet, the rapid generation of panel wiring layout drawing is realized and the efficiency of wiring quality detection is improved.
Keywords:Intelligent manufacturing  computer vision  Distribution cabinet panel  Wiring inspection  Target detection algorithm
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