工程多态数据语义解析、场景理解与时空推演技术数据集
收藏国家基础学科公共科学数据中心2026-01-10 收录
下载链接:
https://nbsdc.cn/general/dataDetail?id=695d3199195d2667940e4c8b&type=1
下载链接
链接失效反馈官方服务:
资源简介:
本数据集来源于国家重点研发计划项目课题“工程多态数据语义解析、场景理解与时空推演技术”,面向复杂施工场景中多目标特征解析、施工要素关系分析、场景理解与三维建模、空间映射及多模态数据融合研究需求。数据集系统收集工程过程文档、三维点云及施工图像视频等信息,形成涵盖施工规范与工程文档的语义抽取结果、构件级三维点云及实例语义标注,以及目标检测与像素级语义分割标注的综合数据资源。经多层质量控制、格式规范及语义一致性校验,保证数据可靠、完整且可解释。该数据集可支持施工知识图谱构建、多模态语义理解、点云与图像分析、目标检测、语义分割及数字孪生建模,为智能建造与建筑行业数字化转型提供关键数据基础。
This dataset originates from the project topic 'Technologies for Semantic Parsing of Multimodal Engineering Data, Scene Understanding and Spatiotemporal Deduction' under the National Key R&D Program of China. It is developed to meet the research requirements of multi-objective feature parsing, construction element relationship analysis, scene understanding and 3D modeling, spatial mapping and multimodal data fusion in complex construction scenarios. The dataset systematically collects information such as engineering process documents, 3D point clouds, construction images and videos, forming a comprehensive data resource including semantic extraction results of construction specifications and engineering documents, component-level 3D point clouds and instance-level semantic annotations, as well as object detection and pixel-level semantic segmentation annotations. After multi-layer quality control, format standardization and semantic consistency verification, the dataset ensures reliable, complete and interpretable data. This dataset can support construction knowledge graph construction, multimodal semantic understanding, point cloud and image analysis, object detection, semantic segmentation and digital twin modeling, providing a key data foundation for intelligent construction and the digital transformation of the construction industry.
提供机构:
同济大学
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集源自国家重点研发计划项目,针对复杂施工场景,系统整合了工程文档、三维点云、施工图像视频等多模态数据,并提供了语义抽取、实例标注及分割标注。经过严格质量控制,数据可靠完整,可用于施工知识图谱构建、多模态语义理解、目标检测与数字孪生建模,为建筑行业智能化转型提供数据支撑。
以上内容由遇见数据集搜集并总结生成



