A real-time monitoring method for ships underway based on information fusion of ais and vts

Abstract

The invention provides a method for monitoring an underway ship in real time based on AIS and VTS information integration. The method comprises the steps of collecting signals; acquiring AIS static information, AIS dynamic information, information related to the voyage number and information about the security of a target ship through an AIS; detecting VTS dynamic information of the target ship through a VTS, and reflecting information about the size and the shape of the target by using VTS radar target echoes; building a D-S evidence theory identification framework through analyzing the difference between the AIS dynamic information and the VTS dynamic information acquired by the AIS and the VTS radar respectively; and constructing a focal element confidence function based on a Kalman prediction algorithm, carrying out evidence synthesis within the D-S evidence theory identification framework, and judging monitoring results. The method provided by the invention is based on the two existing real-time monitoring modes for ships, utilizes the D-S evidence theory identification framework, and constructs the focal element confidence function based on the Kalman prediction algorithm so as to achieve more accurate monitoring results.

Description

technical field

[0001] The invention relates to a remote monitoring technology, in particular to a real-time monitoring method for ships underway based on information fusion of AIS and VTS. Background technique

[0002] In the modern supervision of inland ships, the monitoring system has become a common management method, usually using a variety of monitoring methods for monitoring. However, neither AIS nor VTS radar can replace the other to monitor the ship, and the information collected by a single sensor device is difficult to accurately and comprehensively reflect the target information of the ship. If the ship target data of AIS and VTS can be fused, the accurate position of the target ship to be identified can be obtained, laying a good foundation for the accurate identification of ship types. In this field where the real-time requirements for data fusion are very high, it is a problem that many scholars in the field of data fusion are currently researching on the tim...

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