Trajectory Mining Method And Framework Construction Based On Ship Data

Under the background of the rapid development of the global economy,the international mutual trade is increasing at present,and the maritime traffic is increasingly complicated.With the increase of the number of ships in the ocean and the increasing complexity of water traffic,maritime authorities are more stringent in the supervision of ships,so it is very important to strengthen the management of maritime traffic.The purpose of this paper is to simulate,the communication between ship and shore-based to large Numbers of AIS to parse and maritime data storage,and through large amounts of data mining and analysis,get the dense regions of ship motion in the specific waters,sea lanes to build for the future,with the help of providing the basis of the auxiliary shipping route planning,and through the AIS data to identify possible abnormal behavior of the ship,Then enhance the maritime supervision capacity and efficiency.By analyzing the development status of trajectory clustering,trajectory similarity discrimination and other directions at home and abroad,this paper explores the direction that can be optimized for AIS message application and clustering model,and makes improvements by combining existing mainstream big data and machine learning technologies.Based on streaming computing technology,a new AIS message parsing framework is proposed and verified by experiments to provide data support for subsequent experiments.Aiming at the optimization problem of clustering model,this paper studies the parameter setting problem of density clustering,and proposes a parameter adaptive method,which avoids the problem of too many human intervention on model parameter setting.The improved trajectory compression algorithm is used to improve the overall performance of the clustering framework,and the clustering experiment is used to analyze and mine the dense areas of ship movement in a specific sea area,and the abnormal screening of ship data is carried out,the ship data that may have abnormal behavior is recorded,and the data support is provided for maritime supervision and main channel planning.