基于大数据技术和集中监控平台的风机状态分析与检修  

Wind Turbine Status Analysis and Maintenance Based on Big Data and Centralized Monitoring Technology

作　　者：牛博 NIU Bo

机构地区：[1]国电投河南新能源有限公司,河南郑州450000

出　　处：《电力系统装备》2025年第1期131-133,共3页Electric Power System Equipment

摘　　要：随着风力发电技术的不断发展,风电机组的可靠性和运维效率成为风电行业关注的重点.文章探讨了基于大数据技术和集中监控平台的风机状态分析与检修方法,通过大数据技术收集和分析风电机组的运行数据,结合集中监控平台实现实时监测和预警,从而提高风机的运维效率和可靠性.With the continuous development of wind power generation technology,the reliability and operation and maintenance efficiency of wind turbines have become the focus of attention in the wind power industry.This paper discusses the wind turbine condition analysis and maintenance method based on big data technology and centralized monitoring platform.The operation data of wind turbines is collected and analyzed by big data technology,and real-time monitoring and early warning are realized by combining the centralized monitoring platform,so as to improve the operation and maintenance efficiency and reliability of wind turbines.

关 键 词：大数据技术 集中监控 风机状态分析 检修决策 风电运维 

分 类 号：TM614[电气工程—电力系统及自动化]