[1]于学均１,闵 诚１,李振龙１,等.机器视觉及激光轮廓扫描的电流互感器外观信息自动识别算法[J].机械与电子,2021,(07):75-80.
　YU Xuejun,MIN Cheng,LI Zhenlong,et al.Automatic Recognition Algorithm of Current Transformer Appearance Information Based on Machine Vision and Laser Contour Scan[J].Machinery & Electronics,2021,(07):75-80.
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机器视觉及激光轮廓扫描的电流互感器外观信息自动识别算法()
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机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2021年07期
页码:
75-80
栏目:
智能工程
出版日期:
2021-07-19

文章信息/Info

Title:
Automatic Recognition Algorithm of Current Transformer Appearance Information Based on Machine Vision and Laser Contour Scan
文章编号:
１００１-２２５７ ( ２０２１ ) ０７-００７５-０６
作者:
于学均１; 闵 诚１; 李振龙１; 郑际俊２
１．国网天津营销服务中心(计量中心),天津 ３００２０２ ;?
２．元启工业技术有限公司,山东 青岛 ２６６０４１
Author(s):
YU Xuejun１; MIN Cheng１; LI Zhenlong１; ZHENG Jijun２
( １．Tianjin Marketing Service Center of State Grid ( Measurement Center ), Tianjin ３００２０２ , China ;
２．Yuanqi Industrial Technology Co., Ltd., Qingdao ２６６０４１ , China )
关键词:
机器视觉; 激光轮廓扫描; 电流互感器; 外观信息; 自动识别; 点云数据
Keywords:
machine vision ;  laser profile scanning ;  current transformer ;  appearance information ;  automatic identification ;  point cloud data
分类号:
TH１３３ ; TP３９１.４１
文献标志码:
A
摘要:
为了提高电流互感器外观信息的识别精度,对基于机器视觉及激光轮廓扫描的电流互感器外观信息自动识别算法进行了研究.利用线激光轮廓传感器获取了电流互感器外观轮廓的三维点云数据,依据三维点云数据重构了电流互感器外观轮廓图像,丰富了外观细节信息.按照外观图像形状信息特征参数,采用二叉决策树分类器识别了污渍与裂纹等外观形状信息.利用形态学字符定位方法与垂直投影法,自动识别外观图像空间信息即字符信息.实验结果表明,该算法识别电流互感器外观信息的准确率高于９９％ ,识别速率为 １．０１ 个/ s ,具备较好的自动识别性能.
Abstract:
In order to recognize the accuracy of the appearance information of the current transformer , an automatic recognition algorithm for the appearance information of the current transformer based on machine vision and laser profile scanning is studied．The line laser profile sensor is used to obtain the three-dimensional point cloud data of the appearance contour of the current transformer , and the appearance contour image of the current transformer is reconstructed according to the three-dimensional point cloud data , which enriches the appearance detail information．According to the characteristic parameters of the appearance image shape information , a binary decision tree classifier was used to identify the appearance shape information such as stains and cracks．Using the morphological character positioning method and the vertical projection method , the spatial information of the appearance image is automatically recognized , that is , the character information．Experiments show that the accuracy of the algorithm for identifying the appearance information of current transformers is higher than ９９％ , and the recognition rate is １.０１ piece / s , which has good automatic recognition performance．

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备注/Memo

备注/Memo:
收稿日期: ２０２１-０２-２５
作者简介:于学均 ( １９８２－ ),男,山东烟台人,硕士,高级工程师,主要研究方向为电力系统及其自动化等;闵 诚 ( １９７２－ ),男,天津人,高级技师,主要研究方向为电力信息采集等;李振龙 ( １９９１－ ),男,河北邯郸人,硕士,主要研究方向为电力系统通信等;郑际俊 ( １９８１－ ),男,山东东阿人,工程师,主要研究方向为电气自动化及仪器仪表等.
更新日期/Last Update: 2021-07-19