A Real-time AIS Data Computing Platform Based on Flink

Ship AIS (automatic identification system) data is an important part of water traffic perception data. It covers the core elements of ship navigation, including the dynamic information about geographical location and the static information of ship. Only in in the Yangtze River Basin, tens of millions of AIS data are generated every day. The traditional way is to store AIS data by offline processing and analysis. With the application of smart maritime, more and more applications need to master the ship dynamics in real-time. In order to realize the real-time processing and analysis of AIS data, a real-time AIS data processing and analysis platform based on the streaming computing framework is proposed. Flink is an open-source distributed stream computing framework with high throughput and low latency. It is used to realize the operations of AIS data De duplication, analysis, statistics in real-time. Through the data visualization technology, the computing results are displayed in real-time. It realizes the effective tracking of ship status and the real-time statistics of ships under the jurisdiction. It is of practical significance to improve the efficiency of ship supervision and maritime management.