基于大数据的航标配布优化效果评估方法

Evaluating method of buoy adjustment based on ship trajectory big data

为了研究航标配布优化调整效果,评估在特定水域不同水情条件下航标调整对不同船型船舶的引导作用,提出基于MongoDB非关系型数据库,根据范围、时段和船型等参数,从海量数据中快速提取指定船舶轨迹的方法,并基于WebGL在前端可视化展示;开发船舶轨迹大数据分析系统,并选取南京长江大桥作为试验河段,分析2017年航标优化调整前后两季的航行轨迹大数据。系统显示航标优化调整后,洪水期下水通过大桥六孔的船舶航迹与桥轴线法线夹角减小,达到了预期效果。结果表明,该方法可实现快速自动提取并展示船舶大数据,可用于辅助优化航标配布。

In order to study the effect of navigation aids optimization and evaluate the guiding effect of navigation mark adjustment on different ship types under different water conditions in specific water areas,we propose the method of quickly extracting the specified ship trajectory in the data based on the non-relational database MongoDB and according to parameters such as range,time zone and ship type,and visualize it on the front end based on WebGL,and develop the ship trajectory big data analysis system.Selecting the Nanjing Yangtze River Bridge as the test river section,we analyze the trajectory big data of the two seasons before and after the voyage optimization adjustment in 2017.The system reveals that after the navigation mark optimization and adjustment,the ship is launched through the six holes of the bridge during the flood period,and the angle between the track and the normal axis of the bridge axis is reduced,thus the expected effect is achieved.The results show that the method can quickly and automatically extract and display ships’big data,which can be used to assist in optimizing the navigation mark distribution.