基于机器视觉的拆回电能表自动分选系统设计  

Design of Automatic Sorting System Based on Machine Vision

作　　者：叶柱辉 YE Zhuhui(Guangdong Power Grid Co.,Ltd.Dongguan Power Supply Bureau,Dongguan 523000,China)

机构地区：[1]广东电网有限责任公司东莞供电局,广东东莞523000

出　　处：《电工技术》2025年第2期89-91,共3页Electric Engineering

摘　　要：拆回电能表数量逐年增加,人工分选费时费力,因此采用生产线的形式,设计一条拆回电能表自动分选系统。该系统硬件部分主要包括高清相机、图像采集卡及视觉传感器,软件部分首先通过图像采集获取拆回电能表的图像,随后利用机器视觉算法提取图像中的关键特征,最后依托相似度系统自动输出分选结果,实现对拆回电能表的分类。测试结果表明,系统对多项关键信息的识别准确率接近100%,且批次标签打印与粘贴任务实现零错误,充分展示了其高可靠性、准确性及高效自动化处理能力。The number of dismantled energy meters is increasing year by year,and manual sorting and breaking is time-consuming and laborious.Therefore,an automatic sorting and breaking line system for dismantled energy meters is designed in the form of production line.The system hardware part focuses on three kinds of devices:high-definition cameras,image capture cards,and vision sensors.The software part first obtains the image of the dismantled energy meter through image acquisition,and then extracts the key features in the image by using machine vision algorithm.Finally,according to the similarity system,the sorting results are automatically output to realize the classification of the dismantled watt-hour meter.The test results show that the system′s recognition accuracy of a number of key information is close to 100%,and the batch label printing and pasting tasks achieve zero errors,fully demonstrating the system′s high reliability,accuracy and efficient automatic processing capabilities.

关 键 词：机器视觉 拆回电能表 分选 

分 类 号：TM933.4[电气工程—电力电子与电力传动]