Methods and Application of Archeological Cloud Platform for Grand Sites Based on Spatio-Temporal Big Data

Abstract

Grand sites are important witnesses of human civilization. The archeology of grand sites has the characteristics of a long period, interdisciplinary study, irreversibility and uncertainties. Because of the lack of effective methods and valid tools, large amounts of archeological data cannot be properly processed in time, which creates many difficulties for the conservation and use of grand sites. This study provides a method of integrating spatio-temporal big data of grand sites, including classification and coding, spatial scales and a spatio-temporal framework, through which the integration of archeological data of multiple sites or different archeological excavations is realized. A system architecture was further proposed for an archeological information cloud platform for grand sites. By providing services such as data, visualization, standardizations, spatial analysis, and application software, the archeological information cloud platform of grand sites can display sites, ruins, and relics in 2D and 3D according to their correlation. It can also display the transformation of space and time around archeological cultures, and restored ruins in a 3D virtual environment. The platform provides increased support to interdisciplinary study and the dissemination of research results. Taking the Origin of Chinese Civilization Project as a case study, it shows that the method for data aggregation and fusion proposed in this study can efficiently integrate multi-source heterogeneous archeological spatio-temporal data of different sites or different periods. The archeological information cloud platform has great significance to the study of the origin of Chinese civilization, dissemination of Chinese civilization, and the public participation in archeology, which would promote the sustainable development of the conservation and use of grand sites.

Cultural Cognition and Analytical Methods of Chinese and Korean Envoys in Ming Dynasty Based on Big Data Analysis Technology

“…Wu et al proposed a method to integrate spatio-temporal big data of large sites, including classification coding, spatial scale, and spatio-temporal framework, and realized the integration of archaeological data from multiple sites or different archaeological excavations through this method. The system architecture of large-scale archaeological information cloud platform is further proposed [19].…”

Impact of Digital Twins and Metaverse on Cities: History, Current Situation, and Application Perspectives

“…The spatiotemporal information database consists of spatiotemporal information data, IoT node address data, a spatiotemporal information database management system, and a support environment. Moreover, a spatiotemporal information cloud platform can provide geographic information, IoT, and node location and develop functional software and interfaces for ubiquitous application environments via visualized fine geographic information and temporal geographic information covering the whole society [45][46][47]. Compared with geographic information public platforms, spatiotemporal information cloud platforms have better experience, real-time mobility, controllability, and automation.…”