Ship track abnormity detection method based on navigation channel model

Abstract

The invention discloses a ship track abnormity detection method based on a navigation channel model. The ship track abnormity detection method comprises the following steps: 1, obtaining historical AIS data in a selected time interval; 2, preprocessing the historical AIS data; 3, respectively extracting waypoints and air routes of the channel model from the preprocessed AIS data, and respectivelytaking the waypoints and the air routes as vertexes and edges of a graph in a graph theory to form the channel model: step 4, weighting the channel model according to time factors to obtain a final channel model; and 5, comparing the final channel model with the to-be-detected track, and judging whether the track is abnormal according to whether the to-be-detected track appears in the final channel model. According to the method, the advantages of a point-based algorithm and a track-based algorithm are fused, the historical law of navigation in a hot spot area is fully mined, and the behaviormode and space-time information left by a navigation track are obtained; short-term abnormity monitoring can be carried out, and long-term abnormity monitoring can also be carried out.

Description

technical field [0001] The invention relates to the technical field of ship data processing, in particular to a ship track abnormality detection method based on a channel model. Background technique [0002] In the context of the era of world economic globalization, trade among countries and regions has increased, and the maritime transportation industry has achieved prosperity and development. At the same time, the hidden dangers of maritime navigation safety have gradually become prominent. On the one hand, the current number of ships in the world is huge and increasing day by day, the variety of ships and the complex routes make it difficult to predict the movement behavior of ships, and there are unstable factors in the safety environment; on the other hand, due to the limited capacity of terminals and waterways, waterway traffic Congestion, overburdened routes, and the contradiction between the increasing number of ships have emerged, and the criss-crossing channels and...

AI Technical Summary

Problems solved by technology

[0013] Generally speaking, it is easy to implement anomaly monitoring for ships with complete trajectories, but due to the changeable marine environment, especially in remote sea areas, the communication mechanism is not smooth, and real-time and continuous AIS data cannot be obtained, most algorithms are difficult. To achieve a satisfactory application effect

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