基于大数据的风电设备远程故障监测与诊断系统研究

Research on remote fault monitoring and diagnosis system of wind power equipment based on big data

文章通过风电设备远程监测与故障诊断平台建设实践,从系统功能、平台建设、故障分析等层面,论述了如何基于大数据实现对风机故障预诊断,提升风力发电机组监控与管理水平。通过对机组运行状态的实时在线监测,利用系统内智能数据报警策略准确筛选机组异常,借助于人工智能分析诊断系统和远程专家的综合分析评价,滚动预测故障未来的发展趋势,帮助用户优化风机维护检修工作,减少停机损失,降低维护成本,提高风机利用率。在集控中心预检测平台建立大数据存储、处理、分析、诊断服务器,收集风场各项数据后与专业厂家存储的数据资源整合,建立各种类型风机故障模型,集控中心培训诊断分析师可通过对比找出故障曲线特点和规律,对实时数据经诊断分析后提出整改措施,提前预防风机故障的扩大,开发相关监视及报警系统,联合风机传统监控系统提高监控中心的设备管理能力。

Through the construction practice of remote monitoring and fault diagnosis platform for wind power equipment,this paper discusses how to realize the fault pre-diagnosis of wind turbine based on big data from the aspects of system function,platform construction and fault analysis,so as to improve the monitoring and management level of wind turbine. Through real-time on-line monitoring of unit operation status,using intelligent data alarm strategy in the system to accurately screen unit abnormalities,and by means of comprehensive analysis and evaluation of artificial intelligence analysis and diagnosis system and remote experts,rolling prediction of future development trend of fault can help users optimize fan maintenance and repair work and reduce downtime loss. reduce maintenance costs,improve fan utilization. The big data storage,processing,analysis and diagnosis servers are established in the pre-detection platform of the centralized control center. After collecting various data of the wind farm,the data resources stored by the professional manufacturers are integrated,and various types of wind turbine fault models are established. The training and diagnosis analyst of the control center can find out the characteristics and laws of the fault curve by comparing,put forward corrective measures after the diagnosis and analysis of the real-time data,prevent the expansion of the fan failure in advance,develop the relevant monitoring and alarm system,and improve the equipment management ability of the monitoring center with the traditional monitoring system of wind turbine.