面向海洋空间规划(MSP)的AIS数据可视化

Michele Fiorini , Andrea Capata , Domenico D. Bloisi
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引用次数: 51

摘要

海上交通的不断增加和开发海洋区域的需求的同时增长(例如,安装海上风力发电厂)需要一个适当的规划战略来管理高交通量。海洋空间规划(MSP)是公共发展的一个分配计划的过程,在空间和时间上分配人类活动在海洋区域。通过整合船上和岸上的海事信息,采用电子导航是改善海上安全和安保的一种可能的解决方案。自动识别系统(AIS)数据是一个基本的信息来源,因为对AIS数据的分析可以突出显示拥挤地区的存在以及非法行为,如走私、污染和未经授权的网络钓鱼。事实上,这些活动的特点往往是可以通过分析船只的路线来识别的异常操作。然而,需要处理的AIS数据的巨大维度要求采用谨慎的数据可视化策略。在本文中,我们提出了一个完整的管道,用于从原始AIS数据中可视化船舶航线,这是开展重要的基于AIS的航线分析的基本先决条件,并描述了一个真实的案例研究,其中9000万条AIS记录,对应于一个月的全球观测,仅使用开源软件进行可视化。
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AIS Data Visualization for Maritime Spatial Planning (MSP)

The constant increase in marine traffic and the simultaneous growth of the demand for exploiting marine areas (e.g., installing offshore wind power plants) require an adequate planning strategy for managing high traffic volumes. Maritime Spatial Planning (MSP) is the process of public development of an allocation plan for distributing, both spatially and temporally, human activities in marine areas. The adoption of e-Navigation is a possible solution for improving safety and security at sea by integrating maritime information on board and ashore. Automatic Identification System (AIS) data represents a fundamental source of information, since the analysis of AIS data can highlight the presence of congested areas as well as of illegal actions, such as smuggling, pollution, and unauthorized phishing in protected areas. Indeed, those activities are often characterized by abnormal manoeuvres that can be recognized by analyzing the routes of the vessels. However, the huge dimension of the AIS data to process requires the adoption of careful strategies for the data visualization. In this paper, we present a complete pipeline for visualizing ship routes from raw AIS data, which is a fundamental pre-requisite for carrying out a significant AIS-based route analysis, and describe a real case study, where 90 million AIS records, corresponding to one month of world-wide observations, are visualized using only open-source software.

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