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基于传感器数据采集的接地刀闸机械位置检测

苏淑敏 杜珂 于树海 梁元清 王斌

机械与电子2023,Vol.41Issue(12):38-42,5.
机械与电子2023,Vol.41Issue(12):38-42,5.

基于传感器数据采集的接地刀闸机械位置检测

Mechanical Position Detection of Grounding Knife Switch Based on Sensor Data Acquisition

苏淑敏 1杜珂 1于树海 1梁元清 1王斌1

作者信息

  • 1. 广西电网公司南宁供电局,广西南宁 530000
  • 折叠

摘要

Abstract

Position detection is an indispensable technology in the normal operation of grounding switch machinery,but the position detection process is easily disturbed by problems such as mechanical configuration,sensor performance and noise.In order to solve the above problems,a method for detecting the mechanical position of the grounding knife switch based on sensor data acquisition is proposed.The method firstly uses a hybrid morphological filter to perform noise reduction processing on the mechanical data of the grounding switch collected by the sensor,so as to avoid the influence of noise on the position de-tection result.Secondly,the denoised data is clustered by the improved k-means algorithm.Finally,the preprocessed grounding switch mechanical data is input into the structural support vector machine,and the optimal solution of the structural support vector machine is obtained through the plane cutting algorithm to complete the position detection of the grounding switch machinery.The experimental results show that the proposed method has high position detection efficiency,high accuracy,strong anti-noise ability and good position detection effect.

关键词

形态学滤波器/聚类中心/结构支持向量机/重叠函数/最大分类间隔

Key words

morphological filter/cluster center/structural support vector machines/overlapping func-tion/maximum classification interval

分类

信息技术与安全科学

引用本文复制引用

苏淑敏,杜珂,于树海,梁元清,王斌..基于传感器数据采集的接地刀闸机械位置检测[J].机械与电子,2023,41(12):38-42,5.

机械与电子

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