基于数字孪生的海上风电场智能运维体系

Intelligent Operation and Maintenance System for Offshore Wind Farms Based on Digital Twins

针对传统运维船巡检、直升机搭载巡检人员及人工遥控操作无人机巡检存在的成本高、依赖人工操作、巡检信息有限等缺点,发展无人机智能巡检,可提高效率、减少停机时间,是未来海上风电场巡检的发展趋势。文章基于数字孪生技术对深远海风电场及故障模型进行建模,并构建了基于云边协同的数据采集与治理及基于Web的风电机组三维可视化监控,同时构建了基于数字孪生的风电机组故障识别与预警系统。

In response to the shortcomings of high cost,reliance on manual operation,and limited inspection information in traditional operation and maintenance ship inspections,helicopter carrying inspection personnel,and manual remote control unmanned aerial vehicle inspections,the development of unmanned aerial vehicle intelligent inspections can improve efficiency and reduce downtime,which is the future trend of offshore wind farm inspections.This article models far-reaching offshore wind farms and fault models based on digital twin technology,and constructs data collection and governance based on cloud edge collaboration,as well as three-dimensional visualization monitoring of wind turbines based on Web.A wind turbine fault identification and warning system based on digital twin technology is constructed.