基于云边缘协作的自主可控安全集装箱变电站设备状态监测方法

Yingwei Zhu, Dong Liu, Yinqiang Huang, Lixiang Ruan
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引用次数: 0

摘要

为了解决当前变电站设备状态分析方法实时性低、准确性不足的问题,本文提出了一种基于云边缘协作模式的独立可控安全集装箱变电站设备状态监测方法。该方法将边缘计算技术与云计算技术相结合,构建了电力设备状态分析的云边缘协同架构;在边缘端,基于相关分析方法实现数据的有序处理,提供可靠、完整的数据支持;在主站云端,基于C4.5决策树算法实现电力设备动态状态分析。仿真实验以SF6断路器为例。实验结果表明,该方法的状态识别准确率在95%以上,具有良好的状态分析性能。
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Independent and controllable security container substation equipment condition monitoring method based on cloud edge cooperation
In order to solve the problems of low real-time and insufficient accuracy of the current substation equipment state analysis methods, this paper proposes an independent and controllable security container substation equipment state monitoring method based on cloud edge cooperation mode. This method combines edge computing technology with cloud computing technology to build a cloud edge collaborative architecture for power equipment state analysis; On the edge side, the ordered processing of data is realized based on correlation analysis method to provide reliable and complete data support; On the cloud side of the master station, dynamic power equipment state analysis is realized based on C4.5 decision tree algorithm. The simulation experiment takes SF6 circuit breaker as an example. The experimental results show that the state recognition accuracy of the proposed method is more than 95% and has good state analysis performance.
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