基于大数据分析的船舶航迹拟合研究

Research on ship track fitting based on big data analysis

依据AIS设备获取船舶航迹AIS数据,并统一化处理AIS数据,结合船舶航迹数据特征,应用大数据分析技术(数据挖掘算法)提取船舶航迹拟合需求数据,依据相邻时刻航向角差值将船舶航迹划分为直线阶段与曲线阶段,采用线性拟合法与最小二乘曲线拟合法分别拟合直线阶段与曲线阶段的船舶航迹,获取精确的船舶航迹线。实验数据表明:应用本文方法获得的航迹拟合需求数据提取时延小于给定最大限值,船舶航迹拟合结果与实际船舶航迹几乎保持一致,证实了本文方法航迹拟合效果较佳。

Obtain the ship track AIS data based on the AIS equipment, and process the AIS data in a unified manner.Combined with the ship track data characteristics, the big data analysis technology(data mining algorithm) is applied to extract the ship track fitting demand data. The ship track is divided into a straight line stage and a curve stage, and the linear fitting method and the least squares curve fitting method are used to fit the ship track in the straight stage and the curve stage respectively to obtain the accurate ship track line. The experimental data show that the data extraction delay of the track fitting requirement obtained by the proposed method is less than the given maximum limit, and the ship track fitting result is almost consistent with the actual ship track, which fully confirms the track fitting effect of the proposed method. better.