Ship trajectory data screening method and device

Abstract

The invention belongs to the field of ship data management, particularly relates to a ship trajectory data screening method and device, and aims at solving the problems that in an existing method, thejudgment precision of trajectory points is not high, and important trajectory points can be lost. According to the method, ship trajectory data stored in a period of time is used as to-be-screened data, a ship moving trajectory is used as a first to-be-tested curve, and a retention point of the first to-be-tested curve is determined through a Douglas algorithm; the ship moving track between two adjacent reserved points is taken as a second to-be-measured curve, and the reserved points are determined for each second to-be-measured curve through a method based on an angle limit value; and the information data of the track points corresponding to the reserved points obtained twice are taken as a data screening result. According to the method, the track compression precision is improved, andtrack points with large spatial feature information amount are greatly reserved; when the data in the track segment is screened, a multi-thread parallel computing method is adopted, so that the algorithm execution time is shortened, and the real-time data processing requirement is met.

Description

technical field [0001] The application belongs to the field of ship data management, and specifically relates to a method and device for screening ship trajectory data. Background technique [0002] During the operation of the ship, a large amount of spatio-temporal trajectory data will be generated. Since the ship's AIS, radar and other equipment are in a continuous working state, the data collected by the equipment will be returned within a very short working cycle (generally at the millisecond level), so in A ship's voyage will generate an unusually large data scale, but the movement of the ship generally follows certain rules, so the adjacent track points returned by the ship's equipment have extremely high redundant information in time and space. These redundant information will bring enormous pressure to the storage and analysis of data. Therefore, eliminating or reducing the existence of these redundant information is conducive to improving the storage efficiency of t...

AI Technical Summary

Problems solved by technology

The data compression algorithm is based on a single feature to judge the amount of information of the track point, so as to determine whether the track point is retained, but the accuracy of the existing method on the track point is not high, and some important track points will be lost, resulting in subsequent data compression. error

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