AIS (Automatic Identification System) trajectory big data-based ship traffic environment reconstruction method

Abstract

The invention discloses an AIS (Automatic Identification System) trajectory big data-based ship traffic environment reconstruction method. The method includes the following steps that: step 1-1, a time interval parameter is segmented so as to be divided into various time segments, the trajectory data of all ships in a specified geographical range within a time segment are only requested each time;step 1-2, a web front end temporarily stores the trajectory data in the step 1-1, preprocesses the trajectory data, and calculates and reconstructs the spatial relationship of the trajectory data; step 1-3, the web front end periodically requests new trajectory data from a server and performs dynamic update; and the step 1-1, 1-2, and 1-3 are repeated, so that the continuous reconstruction of a traffic environment can be realized at the web front-end. With the method adopted, an AIS data-based visualization technological means is provided for shipborne equipment and the equipment of a maritime supervision department, and inland navigation can be smoother, more orderly, safer and more efficient, and obvious economic and social benefits can be brought about.

Description

technical field [0001] The invention relates to a big data processing method, in particular to a traffic environment reconstruction method based on AIS track big data. Background technique [0002] Under the new situation and new policies, inland shipping has received unprecedented attention and development. In the huge inland shipping information system, the automatic identification system (Automatic Identification System, AIS) plays an important role. Ships can identify each other through AIS equipment to avoid collisions. , to ensure navigation safety. At the same time, the shore-based AIS network receives the dynamic information of all ships and monitors the traffic status of the entire waterway, so as to carry out effective traffic management and services. With the mandatory installation of AIS, almost all ships are sending their position and other movement information through AIS all the time. It is estimated that more than 100 million pieces of AIS data can be recei...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the defects existing in the prior art, and the problem that the AIS data update interval of the ship track point in the actual use of the AIS system is uneven and the track data of the ship is incomplete after data cleaning, the present invention provides an AIS track big data-based The ship traffic environment reconstruction method improves the time-space accuracy of the reconstruction through exception and optimization processing, so as to restore the evolution of the traffic environment composed of ship activities as realistically as possible, and realize dynamic update and continuous evolution

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