Building Information Modeling (BIM) has been widely adopted in the Architecture, Engineering, and Construction (AEC) industry for information modeling and project-level based on information collected from multiple sources. Unfortunately, multi-scale building information is often organized in different formats according to different data management protocols, making it a challenge to extract the data needed for effective decision-making by different project participants. This study proposed a method for the effective exchanges of multi-scale information through BIM, This method includes establishing an information management protocol between microscale and mesoscale through format conversion, standard unification, and contract constraint, and establishing an information management protocol between mesoscale and macroscale through model analysis, data integration, and institutional guarantee. The three paths of model, data, and management are used to link up the collaborative management of information in the three dimensions of individual, group, and region. The authors validated the proposed method using a case study of a project in Xiong’an New District in China as an example. Results show that the proposed method could help with the transmission and utilization of multi-scale building information using BIM for effective project management, which in turn enables the urban planners to have overall control over the information of urban construction projects.

The As-built Building Information Model (BIM) serves as a carrier of lifecycle information for the physical building and is a critical component of project handover. Despite the issuance of numerous delivery standards globally, efficient methods for reviewing information completeness remain insufficient, hindering the timely and effective delivery of project information. To address this gap, this research employs ontology technology as its core to develop a method for reviewing information completeness in as-built architectural engineering BIMs. An ontological model is constructed using Protégé, Semantic Web Rule Language (SWRL) rules for Completeness Review are defined, and a Revit data extraction add-in is developed to store model data in a database and map it to an ontological knowledge base. An integrated review system for As-built BIM information completeness is subsequently built. This system automates the entire review workflow, encompassing data import, semantic conversion, rule-based reasoning, and result output. Validated through a teaching building case study, the system successfully and accurately identified missing attributes and documents within the model, demonstrating high accuracy and review efficiency. The proposed method and its accompanying review system provide a scalable, rule-driven solution for ensuring BIM integrity, effectively supporting digital delivery in the architecture, engineering, and construction (AEC) industry.