船舶相对风是指船舶在海面上系泊或航行时测风传感器所测得的风速风向，大中型船舶往往安装2个以上的测风传感器以克服单传感器的局限性。为了综合利用多个传感器的测量值，提出一种基于动态权值的数据融合算法。在此基础上为进一步提高融合数据精度，将参考基准值首先采用卡尔曼滤波进行优化处理，然后再将其代入公式参与融合计算。采用实船航行试验测风数据验证表明，该融合算法能够区分测量值的优劣，倚重更有利的测量信息，有效降低相对风的测量误差，优于目前广泛采用的算数平均值方法。
Wind relative to the ship refers to the wind speed and direction measured by wind sensor when the ship is mooring or sailing on the sea. Two or more wind sensors are usually installed in large and medium-sized ships to overcome the limitations of single sensor. In order to make comprehensive use of the measurement values of multiple sensors, a data fusion algorithm based on dynamic weight is proposed. On this basis, in order to further improve the accuracy of fusion data, the reference base value was first optimized by using Kalman filtering, and then substituted into the formula to participate in the fusion calculation. The verification of the measured wind data from the sea trial shows that the fusion algorithm can distinguish the advantages and disadvantages of the measured value, rely on more favorable measurement information, and effectively reduce the measurement error of relative wind, which is better than arithmetic mean method currently widely used.
2020,42(3): 34-39 收稿日期：2018-11-02
DOI：10.3404/j.issn.1672-7649.2020.03.008
分类号：TP273
作者简介：郭颜萍(1978-),女,高级工程师,研究方向为海洋仪器仪表及船舶气象监测技术。
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