首页|基于图像识别算法的变电站压板核对系统研究

基于图像识别算法的变电站压板核对系统研究

Research on Substation Voltage Board Check System Based on Image Recognition Algorithm

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目前变电站压板核对工作需要人工的方式进行现场核对,工作效率低,灵活性和准确性不高.为了解决上述问题,文章通过图像识别算法的技术给核对压板工作提供一种支撑技术手段,搭建变电站压板数据库系统,使用便携式压板核对手持平台,对改进目前的人工纸质表格核对方式问题的解决和突破具有重要意义.
At present,the verification of substation pressure plates requires manual on-site verification,which lacks work efficiency,flexibility,and accuracy.In order to solve the problems of time-consuming,low work efficiency,and high error rate in verification,we provide a support technology for the verification of pressure plates through the technology of image recognition algorithms.We build a substation pressure plate database system and use a portable pressure plate verification handheld platform,which is of great significance for improving the current manual paper form verification method and solving the problem.

pressure plate checktarget detection modelswitch class classification model

邓婧、张怡冰

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国网北京市电力公司检修分公司,北京 丰台 100073

压板核对 目标检测模型 开关类别分类模型

2024

农村电气化
中国电机工程学会

农村电气化

ISSN:1003-0867
年,卷(期):2024.(5)
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