大型综合性博物馆数字孪生数据集

本数据集聚焦大型综合性博物馆数字化转型核心需求，面向数字孪生系统全生命周期运行场景，整合本体时空、气象环境、管理服务三大维度的多源异构数据，构建了覆盖博物馆全要素、全业务的标准化数据体系。数据集包含建筑本体、古树名木、室外陈设等核心实体的基础信息与空间数据，温度、湿度、振动等多维度环境监测数据，以及展览运营、客流统计、商业服务等管理服务数据，累计有效数据记录超1100万条，数据类型涵盖结构化属性数据、空间坐标数据、实时监测数据、业务流程数据等。
数据集严格遵循数字孪生系统 “精准映射、动态同步、智能交互”的核心要求，通过标准化采集、清洗与整合，确保数据的完整性、准确性与关联性，可直接支撑数字孪生模型的场景渲染、动态更新、预警预测与决策优化功能。其应用场景覆盖文物预防性保护、客流智能调控、展览精准运营、沉浸式公众服务等关键领域，不仅为博物馆数字孪生系统的研发与落地提供坚实数据基础，还可为文旅行业数字孪生技术创新、相关标准制定及跨领域学术研究提供统一的数据测试与验证支撑，助力推动文化遗产领域数字化、智能化发展。

This dataset focuses on the core demands of digital transformation for large comprehensive museums, targeting full-lifecycle operation scenarios of digital twin systems. It integrates multi-source heterogeneous data from three dimensions: ontological spatiotemporal data, meteorological environment data, and management service data, and constructs a standardized data system covering all elements and all businesses of museums.
The dataset includes basic information and spatial data of core entities such as building ontology, ancient and famous trees, and outdoor furnishings, multi-dimensional environmental monitoring data including temperature, humidity, vibration and other indicators, as well as management service data related to exhibition operation, passenger flow statistics, commercial services and other aspects. There are over 11 million valid data records in total, covering data types such as structured attribute data, spatial coordinate data, real-time monitoring data, and business process data.
Strictly following the core requirements of digital twin systems: "accurate mapping, dynamic synchronization, and intelligent interaction", the dataset ensures data integrity, accuracy and relevance through standardized collection, cleaning and integration, and can directly support functions of digital twin models including scene rendering, dynamic updating, early warning prediction and decision optimization.
Its application scenarios cover key fields such as preventive conservation of cultural relics, intelligent passenger flow regulation, precise exhibition operation, and immersive public services. It not only provides a solid data foundation for the research, development and implementation of museum digital twin systems, but also provides unified data testing and verification support for digital twin technology innovation, relevant standard formulation and cross-disciplinary academic research in the cultural and tourism industry, helping to promote the digital and intelligent development of the cultural heritage sector.

搜集汇总

背景与挑战

背景概述

该数据集针对大型综合性博物馆的数字孪生需求，整合了本体时空、气象环境及管理服务等多维度数据，构建了覆盖全要素的标准化体系，包含超1100万条有效记录。它旨在支撑数字孪生系统的场景渲染、预警预测等功能，应用于文物预防性保护、客流智能调控等关键领域，为博物馆数字化和智能化发展提供数据基础。