南海海区船舶姿态认知数据

该数据通过接入船舶传感系统获取，包含南海海区2000余条船舶，本次数据汇交提供2000余条船舶姿态数据，主要数据项包括横荡、纵荡、垂荡、横摇、纵摇、艏摇等。数据主要基于课题组前期其他示范应用项目，在南海海区船载终端加装了船舶姿态与操纵数据传感器及数据通信模块，通过实时接入交通运输部海事局船舶自动识别系统以及基于4G、VDES通信网络，可以将两类数据以报文格式实时传回课题研发的在航船舶安全风险动态评估与预测系统，所有数据均为船舶传感器采集，确保数据质量和数据可靠性。

This dataset is collected via shipborne sensing systems, covering over 2,000 vessels operating in the South China Sea. For this data submission, attitude data for more than 2,000 vessels is provided, with core data entries including sway, surge, heave, roll, pitch, and yaw.
This dataset is developed based on prior pilot application projects of the research team: vessel-borne terminals in the South China Sea were fitted with ship attitude and maneuvering data sensors and data communication modules. Through real-time access to the Automatic Identification System (AIS) of the China Maritime Safety Administration (CMSA) under the Ministry of Transport, and utilizing 4G and VDES communication networks, the two types of data can be transmitted back in real-time in message format to the in-service ship safety risk dynamic assessment and prediction system developed by the research project. All data is acquired by on-board ship sensors, guaranteeing data quality and reliability.

搜集汇总

背景与挑战

背景概述

该数据集包含南海海区2000余条船舶的姿态数据，主要涵盖横荡、纵荡、垂荡、横摇、纵摇、艏摇等关键运动参数，用于船舶安全风险动态评估。数据通过船舶传感器实时采集，并基于4G、VDES通信网络传输，确保高质量和可靠性，来源于国家重点研发计划项目，支持交通运输工程研究。