拖轮辅助靠离泊作业动力预测数据集

主要采集了AIS轨迹数据、流体力学数值推算数据、约束模拟测试数据、船舶操纵机理模型数据、运动状态特征数据、船模自航实验实测数据和环境数据。数据集内容包括基础监测数据、理论计算数据、实验验证数据、特征参数数据四类。其中，四类基础监测数据，主要包括从上海港拖轮获取的2022年全年AIS轨迹数据和环境记录数据，如船舶位置、速度、航向等基本信息，以及用于识别拖船不同作业状态（如自由航行、伴航、辅助靠离泊）的特征数据、船载传感器获取的水文气象信息和测试阶段利用AIS、船载雷达和风浪流传感器实时采集的作业环境及周边船舶状态信息；理论计算数据，主要包括流体力学数值推算数据和船舶操纵机理模型数据，如压力场、速度场分布、船体表面剪切应力等基础流场参数、船体运动数据、环境条件参数和船-船相互作用数据、船体质量分布、惯性力矩、水动力导数等基础动力学参数、操纵性能数据和环境作用参数；实验验证数据，主要包括约束模拟测试数据和船模自航实验实测数据，如拖缆受力特性、系泊状态限制、运动参数等基础物理量，以及测试场景环境信息、船舶静态特征参数和动态运行数据。特征参数数据，主要包括运动状态特征数据，如拖轮靠离泊过程中的基本运动学参数、运动特征参数，以及不同操纵模式下的动态表现和各作业阶段的状态变化特征。

This dataset primarily collects AIS trajectory data, hydrodynamic numerical calculation data, constrained simulation test data, ship maneuvering mechanism model data, motion state feature data, measured data from self-propelled ship model experiments, and environmental data. The dataset content falls into four categories: basic monitoring data, theoretical calculation data, experimental verification data, and feature parameter data.

Among them, the basic monitoring data mainly includes full-year 2022 AIS trajectory data and environmental record data obtained from tugs in Shanghai Port, such as basic information like ship position, speed and heading; feature data for identifying different operation states of tugs (e.g., free navigation, escorting, auxiliary berthing and unberthing); hydrometeorological information collected by on-board sensors; and real-time collected operation environment and surrounding ship status information using AIS, on-board radar and wind-wave-current sensors during the test phase.

The theoretical calculation data mainly includes hydrodynamic numerical calculation data and ship maneuvering mechanism model data, such as basic flow field parameters including pressure field, velocity field distribution and hull surface shear stress; hull motion data, environmental condition parameters and ship-ship interaction data; basic dynamic parameters such as hull mass distribution, inertial moment and hydrodynamic derivatives; as well as maneuvering performance data and environmental action parameters.

The experimental verification data mainly includes constrained simulation test data and measured data from self-propelled ship model experiments, such as basic physical quantities like towline force characteristics, mooring state constraints and motion parameters, as well as test scene environment information, ship static characteristic parameters and dynamic operation data.

The feature parameter data mainly includes motion state feature data, such as basic kinematic parameters and motion characteristic parameters during the berthing and unberthing process of tugs, dynamic performance under different maneuvering modes, and state change characteristics of each operation phase.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于拖轮辅助靠离泊作业的动力预测，主要包含2022年上海港拖轮的AIS轨迹和环境记录等基础监测数据，以及理论计算、实验验证和特征参数数据，涵盖船舶运动、流体力学和环境条件等多类信息。数据集大小为1.02GB，包含10个文件，格式包括pdf、log、csv和docx。