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Ship wandering detection method based on AIS data

A detection method and technology for ships, applied in the field of big data analysis, can solve problems such as time-consuming, labor-intensive, and poor detection targeting, and achieve the effect of promoting safety, ensuring safe navigation, and enhancing safety

Active Publication Date: 2021-01-05
NANJING BEIDOU INNOVATION & APPL TECH RES INST CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

The traditional detection of ship loitering behavior is not highly targeted, and cannot classify and detect abnormal ship behavior, such as approximately elliptical ship loitering trajectories, ship repeated round-trip trajectories, etc.
The analysis and processing of ship trajectory data also lacks a processing method for massive data. The whole process is time-consuming and labor-intensive, and the data processing results lack objectivity and reliability.

Method used

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  • Ship wandering detection method based on AIS data
  • Ship wandering detection method based on AIS data
  • Ship wandering detection method based on AIS data

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Embodiment Construction

[0024] The present invention will be further described below in conjunction with accompanying drawing:

[0025] The present invention assumes that in the research area, the numbers of rows and columns of the spatial grid are respectively p and q, and before identifying the abnormal wandering behavior of the ship, it is necessary to define the relevant variables:

[0026] (1) Grid count variable n(u, v), the number of track points contained in the grid. u is the row number of the grid, and v is the column number of the grid. The default value of n(u, v) is 0. When the track point falls into the grid, the grid count variable changes accordingly. The grid count variable indicates the repeatability of the trajectory in the grid. If the trajectories of the same ship within a certain time range intersect or the trajectories are dense, multiple trajectory points will be queried in the grid.

[0027] (2) The number of effective grids n (effective), if the count variable of the grid ...

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Abstract

The invention discloses a ship wandering detection method based on AIS data, and the method can achieve the detection of the wandering behaviors of a ship according to the obtained AIS track data of the ship and the massive track data, classifies the wandering behaviors of the ship, and summarizes the relation between the tracks of four types of typical abnormal motion behaviors of the ship and adefined variable. According to the relationship between the ship motion trail characteristics and the statistical parameters, analysis is performed and the abnormal wandering behavior of the ship is detected according to the trail distribution condition in the grid. After the ship AIS track is filtered and smoothened, a global space-time grid index is established, gridding processing is conductedon the ship track, ship abnormal motion is detected according to ship abnormal behavior track characteristics, and abnormal classification alarming is conducted on ship motion behavior track abnormity. The ship wandering behavior detection can provide decision support for marine safety supervision, enhances marine traffic safety, ensures safe sailing of the ship, and has important significance forpromoting marine transportation to be safe, efficient and smooth.

Description

technical field [0001] The invention relates to the field of big data analysis, in particular to a ship loitering detection method based on AIS data. Background technique [0002] In recent years, with the continuous increase in the number and density of ships at sea, the ship trajectory data has increased on a large scale. At the same time, the difficulty of maritime traffic safety management has also increased. It is necessary to conduct deeper analysis and processing of ship track data in order to enhance the safety of maritime traffic. . At present, more and more scholars use the data information provided by the equipment of the ship automatic identification system to conduct research on maritime traffic. [0003] According to the behavior of the ship's trajectory, when non-fishing ships have approximate loitering behavior, these abnormal behaviors are often related to drunk driving, hijacking, illegal fishing, piracy, and illegal measurement. Then its trajectory lengt...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/29
CPCG06F16/29B60R25/102B60R2025/1016
Inventor 朱欣焰闫保奇呙维樊亚新
Owner NANJING BEIDOU INNOVATION & APPL TECH RES INST CO LTD
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