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Mapping between BIM and 3D GIS in different levels of detail using schema mediation and instance comparison
Affiliation:1. Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China;2. Department of Architectural Engineering, The Pennsylvania State University, 104 Engineering Unit A, University Park, PA 1680, USA;1. State Key Laboratory for High Performance Complex Manufacturing, Changsha 410083, China;2. College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China;3. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 100016, China;1. School of Resource and Environment Science, Wuhan University, 129 Luoyu Rd., Wuhan, 430079, China;2. Geospatial Information Science Collaborative Innovation Center of Wuhan University, 129 Luoyu Rd., Wuhan, China;3. Shenzhen Research Center of Digital City Engineering, 518034 Shenzhen, China;1. Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China;2. Australian Joint Research Centre for Building Information Modeling, School of Built Environment, Curtin University, Australia;3. School of Science, Southwest University of Science and Technology, China;1. Engineering Cluster, Singapore Institute of Technology, 10 Dover Drive, 138683 Singapore;2. EDF Lab Singapore, 738973 Singapore
Abstract:The Building Information Modeling (BIM) domain and the Geographic Information System (GIS) domain share a mutual need for information from each other. Information from GIS can facilitate BIM applications such as site selection and onsite material layout, while BIM models could help generate detailed models in GIS and achieve better utility management. The mapping between the key schemas in the BIM domain and the GIS domain is the most critical step towards interoperability between the two domains. In this study, Industry Foundation Classes (IFC) and City Geography Markup Language (CityGML) were chosen as the key schemas due to their wide applications in the BIM domain and the GIS domain, respectively. We used an instance-based method to generate the mapping rules between IFC and CityGML based on the inspection of entities representing the same component in the same model. It ensures accurate mapping between the two schemas. The transformation of coordinate systems and geometry are two major issues addressed in the instance-based method. Considering the difference in schema structure and information richness between the two schemas, a reference ontology called Semantic City Model was developed and an instance-based method was adopted. The Semantic City Model captures all the relevant information from BIM models and GIS models during the mapping process. Since CityGML is defined in five levels of detail (LoD), the harmonization among LoDs in CityGML was also developed in order to complete the mapping. The test results show that the developed framework can achieve automatic data mapping between IFC and CityGML in different LoDs. Furthermore, the developed Semantic City Model is extensible and can be the basis for other schema mappings between the BIM domain and the GIS domain.
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