水运大数据开发与应用研究——以船舶自动识别系统(AIS)为例

Development and Application of Big Data in the Waterborne Transportation--A Case Study of the Ship Automatic Identification System

为推进水运大数据开发与应用,支撑水运行业高质量发展,对船舶自动识别系统(AIS)数据及其应用问题进行研究。首先分析水运大数据的来源、内涵与特征,以及AIS数据的优势及不足。然后基于AIS大数据,对全球船舶运营状况、船舶靠港情况和港口作业效率进行统计分析。最后,从船舶安全、优化航线和绿色航运等角度对AIS大数据的应用场景进行展望。

To promote the development and application of big data and support the high-quality development of waterborne transportation,the ship automatic identification system(AIS)data and its application are mainly invetigated.Firtly,the connotation and characteristics of big data in waterborne transportation are analyzed.The advantages and disadvantages of AIS data are summarized.Secondly,based on the AIS data,statistical analysis is conducted on global ship operation status,ship docking status and port operation efficiency.Finally,the application prospect of AIS big data is discussed from the aspects of navigational safety,ship route optimization and green shipping.