风向数据在判断传感器故障方面的分析释用

Judgement of sensor fault by wind direction data

通过分析江苏省2009年1-9月Z文件中瞬时风向资料,研究各站A文件风向频率分布特征发现:绝大多数台站瞬时风向数据排列及间隔情况几乎一致,传感器异常情况下,瞬时风向数据排列后出现明显的规律性角度区间缺失;风向规律性缺失较大角度区间的台站,在最多风向附近常出现较深"频率谷",风向频率分布呈多个"W"型波动跳跃。其分析结果可作为判断风向传感器故障的直接或间接依据。

The instantaneous wind direction data in Z-files from Jan. 2009 to Sep. 2009 in Jiangsu are analyzed and the distribution characteristics of wind direction frequency in A-files are researched. We found that the arrangement and intervals of instantaneous wind direction data are almost uniform in most stations. When the sensor is under abnormal condition, there will be an obvious regularity angle interval gap after instantaneous wind direction data being arranged. The larger angle interval gaps of wind direction regularity , the deeper ＂frequency valleys＂ occur near dominant wind direction. The wind direction frequency distribution fluctuates with several of ＂W＂s. This result of the above research could be used to analyze malfunctions of wind sensors.