Multi-platform data search and access method to compose digital twins using metadata

Various real-world applications are implemented to make life comfortable, convenient, and safe. Data and applications are tightly coupled. Application implementation costs are high because the data reusability is low. Data reusability is increased by implementing a mechanism that collects data according to the requirements of the real-world application to be implemented, builds a digital twin from the collected data, and combines the data with real-world applications. Therefore, platforms that provide data to creating digital twins are emerging. However, digital twin data platforms have the following problems: As digital twin data platforms proliferate, they are being distributed across multiple platforms. Consequently, obtaining data to create digital twin is difficult for real-world application implementers. Data reprocurement increases application implementation costs. In this study, methods for solving data reusability problems are proposed. A function to output metadata representing the spatial structure was implemented on spatial data platforms. Data delivery interfaces are implemented in data platforms that manage data related to spatial data. The method for accessing related data is described in the Metadata section. In this study, prototype systems for BIM data were implemented based on the proposed method. The IFC model server, which exports metadata, was implemented. The API Server, which manages the building of the 3D model data, was implemented. An endpoint for accessing the 3D data API server is described in the metadata.