一种适用于海上风机监测数据实时处理的方法研究

Study on the approach to dealing with the abnormal data in real-time monitoring of the offshore wind turbine

海上风机监测异常数据实时处理,对于风机结构体系功能与安全状态的分析评价,具有十分重要的意义。但现阶段对于异常数据实时处理方法的研究还有待完善。本文结合风机实时监测数据特点,采用具有自动调整参数功能的AR(n)模型预测算法进行异常数据实时处理,对处理机制进行了分析。应用该方法对某海上风机实时采集风速及多种传感器监测数据进行了处理,讨论了该方法的精度及处理效率,验证了该方法对于处理风机异常监测数据的有效性和适用性。

It has very important significance for the fan structure function analysis and evaluation of the se- curity state to disposes the monitoring data of the offshore wind turbine in real-time. At the present stage, the methods for processing abnormal data in real-time should be improved. In this paper, the general rules of the monitoring data and the corresponding characteristics of abnormal data are obtained by analyzing the characteristics of monitoring data of the fan in real-time. The abnormal data is processed through the AR （n） prediction model, and the processing mechanism of this model is analyzed. Through appling this meth- od to process the monitoring data of the wind speed and a variety of sensors, it has been proved that the method is effective and applicable for dealing with the anomaly monitoring data.