遇见数据集

建筑形变健康诊断与风险前瞻性监测系统数据集

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本数据集面向大型文化遗产场馆建筑本体的“形变健康诊断与风险前瞻性监测”需求构建,以故宫午门等重点区域为典型对象,依托三维数字孪生平台与建筑沉降监测数据,实现毫米级形变可视化、风险量化评估与趋势预测。通过接口与文件方式获取故宫博物院与北京建筑大学提供的建筑沉降监测数据及沉降风险预测结果,经标准化处理与坐标转换后接入 UE5 平台,实现建筑形变、沉降趋势及风险指标的三维可视化展示。数据集主要包含系统软件部署包与后台数据库结构以及相关使用说明文档,可为文物建筑预防性保护、建筑健康诊断方法研究以及数字孪生驱动的智慧文博建设提供基础支撑。

This dataset is developed to address the requirements of "deformation-based health diagnosis and proactive risk monitoring" for the building structures of large-scale cultural heritage venues, taking key areas such as the Meridian Gate of the Palace Museum as typical research subjects. Relying on 3D digital twin platforms and building settlement monitoring data, it enables millimeter-scale deformation visualization, quantitative risk assessment and trend prediction. The building settlement monitoring data and settlement risk prediction results provided by the Palace Museum and Beijing University of Civil Engineering and Architecture are acquired via interfaces and file formats. After standardization processing and coordinate transformation, these data are integrated into the UE5 platform to realize 3D visual display of building deformation, settlement trends and risk indicators. The dataset mainly includes system software deployment packages, backend database structures and relevant user instruction documents, which can provide fundamental support for preventive protection of cultural relic buildings, research on building health diagnosis methods, and smart cultural heritage construction driven by digital twins.

搜集汇总
数据集介绍
建筑形变健康诊断与风险前瞻性监测系统数据集 数据集图片
背景与挑战
背景概述
该数据集针对大型文化遗产建筑如故宫午门的形变健康诊断与风险前瞻性监测需求,基于三维数字孪生平台和沉降监测数据,实现了毫米级形变可视化、风险量化评估与趋势预测。它包含系统软件部署包、数据库结构及相关文档,为文物建筑预防性保护和智慧文博建设提供基础支撑。
以上内容由遇见数据集搜集并总结生成
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