大数据技术在变电运检远程故障诊断系统中的应用  

Application of Big Data Technology in Remote Fault Diagnosis System for Substation Maintenance

作　　者：杨眉 吴亚美 何伟 YANG Mei;WU Yamei;HE Wei(State Grid Gansu Electric Power Company Lanzhou Power Supply Company,Gansu 730046,China;Guodian Nanrui Nanjing Control System Co.,Ltd.,Jiangsu 210031,China.)

机构地区：[1]国网甘肃省电力公司兰州供电公司,甘肃730046 [2]国电南瑞南京控制系统有限公司,江苏210031

出　　处：《电子技术(上海)》2025年第1期312-313,共2页Electronic Technology

摘　　要：阐述基于多源数据融合设计完整的系统架构,结合分布式存储与数据湖技术,实现大规模数据的高效存储与管理,提升数据处理能力。在故障诊断方面,引入机器学习与深度学习算法构建故障预测模型,有效提高了故障识别准确性。系统采用云计算与边缘计算相结合的方式,显著提升了实时监测与远程诊断的响应速度和系统稳定性。This paper expounds the design of a complete system architecture based on multi-source data fusion,which combines distributed storage and data lake technology to achieve efficient storage and management of large-scale data.In terms of fault diagnosis,it introduces machine learning and deep learning algorithms to construct a fault prediction model,significantly improving the accuracy of fault recognition.The system adopts the combination of cloud computing and edge computing to improve the response speed and stability of real-time monitoring and remote diagnosis.

关 键 词：大数据技术 远程故障诊断 多源数据融合 机器学习 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置] TP311.13[自动化与计算机技术—控制科学与工程] TM63[电气工程—电力系统及自动化]