摘要
为了解决输电线路运行出现故障对电网造成大量损失问题,设计了输电线路运行故障分析系统。通过采用可移动的故障检测装置对输电线路运行状态进行自动检测,采用图像处理技术和模式识别技术对视频监控平台进行智能化的改进,实现对输电线路运行状态进行实时监控。将采集到的输电线路运行图像数据传输至监控主站平台,利用变分模态分解和排列熵相结合的算法来实现输电线路运行故障诊断。实验结果表明,该系统在进行故障检测装置图像监控的有效性高达96%,在进行对故障分析的准确性测试时,故障分析的准确性高达98%。
In order to solve the problem of large losses caused by transmission line operation faults to the power grid,a transmission line operation fault analysis system is designed.The transmission line operation state is automatically detected by using a movable fault detection device,and the video monitoring platform is intelligently improved by using image processing technology and pattern recognition technology,so as to realize the real-time monitoring of the transmission line operation state.The collected transmission line operation image data are transmitted to the monitoring master station platform,and the transmission line operation fault diagnosis is realized by using the algorithm of variational modal decomposition and permutation entropy.The experimental results show that the effectiveness of the system in image monitoring of fault detection device is as high as 96%,and the accuracy of fault analysis is as high as 98%.
作者
郭炳楠
GUO Bingnan(Construction Company of State Grid Ningxia Electric Power Co.,Ltd.,Yinchuan 750004,China)
出处
《微型电脑应用》
2024年第1期228-232,共5页
Microcomputer Applications
关键词
多信息交互
输电线路
故障分析
变分模态分解
排列熵
multiple information interaction
transmission line
fault analysis
variational modal decomposition
permutation entropy