摘要
针对目前智能变电站缺乏有效的故障预警方法,提出了基于大数据挖掘的智能变电站故障追踪架构。设计了以大数据为基础的变电站故障信息架构,并分析了故障诊断与追踪程序。对智能变电站故障追踪的架构进行分析,设计了巡检任务管理和图像监控等硬件模块和相应的软件模块。软件模块主要包括视频监控、隔离开关、环境监测、智能巡检、远程控制等模块,并且实现了大数据平台预测模型的设计。通过实际使用结果表明,该架构能够提高智能变电站的故障诊断精准率,及时发现其中存在的故障,促进变电站的良好发展。
Aiming at the lack of effective fault early warning methods in intelligent substation,an intelligent substation fault tracking architecture based on big data mining is proposed.The substation fault information architecture based on big data is designed,and the fault diagnosis and tracking program is analyzed.The architecture of intelligent substation fault tracking is analyzed,and the hardware modules and corresponding software modules such as patrol task management and image monitoring are designed.The software module mainly includes video monitoring,disconnector,environmental monitoring,intelligent patrol inspection,remote control and other modules,and realizes the design of prediction model of big data platform.The actual application results show that the architecture can improve the fault diagnosis accuracy of intelligent substation,find the existing faults in time,and promote the good development of substation.
作者
刘胜强
杨峰
LIU Shengqiang;YANG Feng(Foshan Power Supply Bureau,Guangdong Power Grid Co.,Ltd.,Foshan 528000,China)
出处
《电子设计工程》
2022年第3期54-57,共4页
Electronic Design Engineering
关键词
大数据挖掘
智能变电站
故障追踪
预测模型
big data mining
intelligent substation
fault tracking
prediction model
