Fishing boat track abnormity detection method based on Beidou satellite transmission data

Abstract

The invention relates to a fishing boat track abnormity detection method based on Beidou satellite transmission data. A traditional ship track anomaly detection algorithm is mainly used for carrying out anomaly detection on position information of a ship track. Inherent motion attributes such as the speed and direction of the ship are ignored. On the basis of a TRAOD algorithm, motion characteristics such as fishing boat course, navigational speed and the like are added into track abnormity detection. Fishing boat track abnormity is detected from multiple aspects of fishing boat position information and behavior characteristics, modeling is carried out on multiple track abnormity influence factors, fishing boat track abnormity trend scores under all track characteristics are calculated, and the reliability and effectiveness of fishing boat track abnormity detection are improved. The combination of the component abnormal trend scores is realized by using a weighted cumulative sum mode,the component weight can be changed according to the effectiveness of different component abnormal detection, and the problem that the final abnormal trend score depends too much on a certain component is avoided.

Description

technical field [0001] The invention relates to the technical field of fishing boat track abnormality detection, and more specifically relates to a fishing boat track abnormality detection method based on Beidou satellite transmission data. Background technique [0002] The traditional ship trajectory anomaly detection methods mainly include ship trajectory anomaly detection method based on Kalman filter, ship trajectory anomaly detection method based on trajectory clustering, etc. These methods are to cluster the historical trajectories of ships, establish the normal trajectory model of the ship, and then calculate the distance between the current ship trajectory and the normal trajectory model, and compare it with the abnormal threshold defined by the user to judge the abnormal state of the ship. [0003] Traditional ship track anomaly detection methods need to ensure that the behavior patterns of ships in the current sea area are consistent during the clustering process o...

AI Technical Summary

Problems solved by technology

[0005] Traditional ships generally only have a sailing state during sea movement, while fishing boats have two states of sailing and fishing during movement, but the traditional trajectory anomaly detection method mainly uses trajectory position information to detect trajectory anomalies, so the traditional trajectory anomaly detection The method cannot directly perform anomaly detection on fishing boat trajectories

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