南京师范大学仙林北区CIM数据集(NNU-Mini CIM)

NNU-Mini CIM数据集选取南京师范大学北区作为研究范围，该区域具有较为丰富的自然环境（山体、植被、水系）与人工建构筑物（道路、建筑、桥梁等）。NNU-Mini CIM模型数据包含了1-7层级，全部采用了人工精修模型。内容包含地形、行政区、城市房屋建筑、市政设施、园林绿化设施、交通设施、水系水利设施、地质和传感器数据。<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;OpenCIM2的所有文档和源代码都已经发布（https://gitee.com/zhoulch/open-cim2）。除了核心SDK以外，还包括了解析IFC构建ACIM、解析OSGB构建ACIM、解析ACIM转成OSGB可视化、解析ACIM转为知识图谱的相关工具，均提供了可供编译的源码和测试数据。<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;本数据集及软件工具是国家重点研发计划项目“城市信息模型（CIM）数据结构化治理关键技术”（2022YFC3803600）的主要研究成果。<br>

NNU-Mini CIM Dataset takes the North Campus of Nanjing Normal University as its research scope, which features abundant natural environments (mountains, vegetation, water systems) and man-made constructions (roads, buildings, bridges, etc.). The NNU-Mini CIM model data covers levels 1 to 7, all of which are manually refined models. The content includes topography, administrative districts, urban housing buildings, municipal facilities, landscaping facilities, transportation facilities, water conservancy facilities, geological data and sensor data.

All documents and source code of OpenCIM2 have been released (https://gitee.com/zhoulch/open-cim2). In addition to the core SDK, it also provides relevant tools for parsing IFC to construct ACIM, parsing OSGB to construct ACIM, converting ACIM to OSGB for visualization, and converting ACIM into a knowledge graph. Compilable source code and test data are available for all these tools.

This dataset and software tools are the primary research outcomes of the National Key R&D Program project "Key Technologies for Structured Governance of Urban Information Model (CIM) Data" (2022YFC3803600).

搜集汇总

背景与挑战

背景概述

该数据集是一个针对南京师范大学仙林校区北区的城市信息模型数据集，数据量为6.02 GB，包含2023年采集的1-7层级人工精修三维模型，覆盖地形、建筑、市政设施、自然环境及传感器数据等多类要素。数据集基于国家CIM标准规范构建，精度可靠，并提供了配套的开源软件工具OpenCIM2，支持CIM模型生成、解析和可视化等研究与应用。