Content area
In Building Information Modeling (BIM)-driven collaboration, the workflow for information management utilizes a Common Data Environment (CDE). The core idea of a CDE is to serve as a single source of truth, enabling efficient coordination among diverse stakeholders. Nevertheless, investigations into employing CDEs to manage projects reveal that procuring commercial CDE solutions is too expensive and functionally redundant for small and medium-sized enterprises (SMEs) and small research organizations, and there is a lack of experience in using CDE tools. Consequently, this study aimed to provide a cheap and lightweight alternative. It proposes a three-layered CDE framework: decentralized databases enabling work in distinct software environments; resource description framework (RDF)-based metadata facilitating seamless data communication; and microservices enabling data collection and reorganization via standardized APIs and query languages. We also apply the CDE framework to structural life cycle assessment (LCA). The results show that a lightweight CDE solution is achievable using tools like the bcfOWL ontology, RESTful APIs, and ASP.NET 6 Clean architecture. This paper offers a scalable framework that reduces infrastructure complexity while allowing users the freedom to integrate diverse tools and APIs for customized information management workflows. This paper’s CDE architecture surpasses traditional commercial software in terms of its flexibility and scalability, facilitating broader CDE applications in the construction industry.
Details
Metadata;
Linked Data;
Datasets;
Collaboration;
Data communication;
Workflow;
Architecture;
Semantic web;
Software upgrading;
Life cycle analysis;
Data collection;
Life cycle assessment;
Query languages;
Construction industry;
Infrastructure;
Life cycles;
Information processing;
Resource Description Framework-RDF;
Information management;
Building information modeling;
Information sources;
Architects;
Software;
Semantics
1 State Key Laboratory of Structural Analysis Optimization and CAE Software for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024, China; [email protected]
2 BIM for Smart Engineering Centre, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK; [email protected]