基于大数据分析的风电智慧化巡检系统研究与建设

Research and Construction of the Intelligent Inspection System for Wind Farms Based on Big Data Analysis

为了有效解决风电场巡检难度大、效率低等问题,设计了一种风电场智慧化巡检系统,通过数据采集与监视控制系统(SCADA),结合机器人、无人机智慧巡检技术获取风机机组设备状态信息,并利用Hadoop大数据分析技术、智能算法及评估模型对设备的健康度、寿命等进行智能评价,为管理人员决策提供数据支持,旨在提高风电场巡检数字化、智慧化水平,可为风电场智慧化巡检建设提供参考。

In order to effectively solve the problems of high difficulty and low efficiency in the inspection of wind farms,this paper designs an intelligent inspection system for wind farms,which can obtain the status information of the wind turbine equipment by means of data acquisition and the supervisory control and data acquisition system(SCADA),in combination with the robot and drone intelligent inspection technologies.In addition,the Hadoop big data analysis technology,intelligent algorithms and evaluation models are used to intelligently evaluate the health and lifespan of the equipment,to give data support for decision-making of the management,aiming to enhance the levels of digitization and intelligence of wind farm inspections as well as providing reference for the construction of intelligent inspections in wind farms.