지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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Around the world, there is an increasing interest in Digital Twin cities. Although geospatial data is critical for building a digital twin city, currently-established spatial data cannot be used directly for its implementation. Integration of geospatial data is vital in order to construct and simulate the virtual space. Existing studies for data integration have focused on data transformation. The conversion method is fundamental and convenient, but the information loss during this process remains a limitation. With this, standardization of the data model is an approach to solve the integration problem while hurdling conversion limitations. However, the standardization within indoor space data models is still insufficient compared to 3D building and city models. Therefore, in this study, we present a comparative analysis of data models commonly used in indoor space modeling as a basis for establishing a generic indoor space feature model. By comparing five models of IFC (Industry Foundation Classes), CityGML (City Geographic Markup Language), AIIM (ArcGIS Indoors Information Model), IMDF (Indoor Mapping Data Format), and OmniClass, we identify essential elements for modeling indoor space and the feature classes commonly included in the models. The proposed generic model can serve as a basis for developing further indoor feature models through specifying minimum required structure and feature classes.
목차
Abstract
1. Introduction
2. Related Works
3. Framework for Comparing Indoor Data Models
4. Comparative Analysis of Indoor Feature Models
5. Establishing Guidelines for Proposing a Generic Indoor Feature Model
6. Conclusion
References
참고문헌 (21)
참고문헌 신청
Apple Inc. (2020), Indoor Mapping Data Format, v1.0.0, https://register.apple.com/resources/imdf/ (last date accessed: 1 September 2021).
BuildingSMART (2018), IFC specification v. 4.1.0.0, https://standards.buildingsmart.org/IFC/RELEASE/IFC4_1/FINAL/HTML/ (last date accessed: 14 September 2021).
Deng, Y., Cheng, J.C.P, and Anumba, C. (2016), Mapping between BIM and 3D GIS in different levels of detail using schema mediation and instance comparison, Automatic in Construction, Vol. 67, pp. 1-21.
El-Mekawy, M. and Östman. A. (2010), Semantic mapping: an ontology engineering method for integrating building models in IFC and CityGML, 3rd ISDE Digital Earth Summit, 12-14 June, Nessebar, Bulgaria.
El-Mekaway, M., Östman, A., and Shahzad, K. (2011), Towards interoperating CityGML and IFC building models: a unified model based approach, In: Kolbe, T., König, G., Nagel, C. (eds.), Advances in 3D Geo-Information Sciences, Springer, Berlin, Heidelberg, pp. 79-93.
BuildingSMART (2018), IFC specification v. 4.1.0.0, https://standards.buildingsmart.org/IFC/RELEASE/IFC4_1/FINAL/HTML/ (last date accessed: 14 September 2021).
Deng, Y., Cheng, J.C.P, and Anumba, C. (2016), Mapping between BIM and 3D GIS in different levels of detail using schema mediation and instance comparison, Automatic in Construction, Vol. 67, pp. 1-21.
El-Mekawy, M. and Östman. A. (2010), Semantic mapping: an ontology engineering method for integrating building models in IFC and CityGML, 3rd ISDE Digital Earth Summit, 12-14 June, Nessebar, Bulgaria.
El-Mekaway, M., Östman, A., and Shahzad, K. (2011), Towards interoperating CityGML and IFC building models: a unified model based approach, In: Kolbe, T., König, G., Nagel, C. (eds.), Advances in 3D Geo-Information Sciences, Springer, Berlin, Heidelberg, pp. 79-93.
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