港口数字孪生系统运行数据

港口数字孪生系统运行数据主要面向智慧港口水、陆域生产作业系统三维实时重构与动态还原系统相关研究。数据主要用于开展大型港口静态与运行势态下的实时三维重构、数据深度挖掘、多维互联信息动态解译研究；建立智慧港口建设中三维建模技术体系；构建“可汇聚、可展示、可分析、可调度、可预测、可决策、可指挥、可持续”的大型港口数字重构实时三维运行系统。数据主要来源于传感器感知和仿真模拟。其中移动信息主要以时间序列的形式记录了设备编号、设备属性、实时三维坐标、设备操作的集装箱信息等；统计信息主要包括港区交通状况、内集卡信息、堆场堆存量等统计数据样例；点击设备产生信息主要包括集装箱船、岸桥、场桥、内集卡、外集卡、集装箱等设备的自身属性样例。数据大小5.49M。

The operating data of the Port Digital Twin System is primarily targeted at research related to 3D real-time reconstruction and dynamic restoration systems for water and land production operation systems of smart ports. This dataset is mainly used for studies including real-time 3D reconstruction of large ports under static and operational states, in-depth data mining, and dynamic interpretation of multi-dimensional interconnected information; to establish a 3D modeling technology system for smart port construction; and to build a real-time 3D operating system for large-scale port digital reconstruction that features eight core capabilities: "gatherable, displayable, analyzable, schedulable, predictable, decision-supportable, commandable, and sustainable".
The data is mainly collected from sensor perception and simulation. Among them, the mobile operation data records equipment ID, equipment attributes, real-time 3D coordinates, container information associated with equipment operations, etc., in the form of time series. The statistical data mainly includes statistical samples such as port area traffic conditions, internal container truck information, and yard stock volume. The information generated by equipment operations covers attribute samples of various equipment such as container ships, quay cranes, yard cranes, internal container trucks, external container trucks, and containers. The total size of this dataset is 5.49 MB.

搜集汇总

背景与挑战

背景概述

港口数字孪生系统运行数据主要用于智慧港口的三维实时重构与动态还原研究，包含传感器感知和仿真模拟数据，涉及设备编号、属性、三维坐标等信息。数据格式为csv和docx，大小为5.49MB。