A Data Integration and Simplification Framework for Improving Site Planning and Building Design

Site planning and building design results are generally managed in Geographic Information System (GIS) and Building Information Modeling/Model (BIM) separately. The incompatibility of data has brought potential challenges for the assessment and delivery of the results. A data integration and simplif...

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Autores principales:	Shuo Leng, Jia-Rui Lin, Sun-Wei Li, Zhen-Zhong Hu
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	BIM-GIS integration building design geometric optimization site planning Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/f1539fe5fb434af6b3dd20bb1e4572a5
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id	oai:doaj.org-article:f1539fe5fb434af6b3dd20bb1e4572a5
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spelling	oai:doaj.org-article:f1539fe5fb434af6b3dd20bb1e4572a52021-11-18T00:10:58ZA Data Integration and Simplification Framework for Improving Site Planning and Building Design2169-353610.1109/ACCESS.2021.3124010https://doaj.org/article/f1539fe5fb434af6b3dd20bb1e4572a52021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9592771/https://doaj.org/toc/2169-3536Site planning and building design results are generally managed in Geographic Information System (GIS) and Building Information Modeling/Model (BIM) separately. The incompatibility of data has brought potential challenges for the assessment and delivery of the results. A data integration and simplification framework for improving site planning and building design is proposed in this paper. A BIM-GIS integrated model with a multi-scale data structure is developed to link the results of site planning and building design together. Geometric optimization algorithms are then designed to generate simplified building models with different levels of details (LODs) based on the information required at each scale. This paper provides a feasible way to integrate planning and design data from different sources to enhance the evaluation and delivery of the results. The proposed approach is validated by a village construction project in east China, and results show that the method is capable to integrate site planning and building design results from different platforms and support seamless visualization of multi-scale geometric data. It is also found that a seamless database facilitates understanding of planning and design results and improves communication efficiency. Currently, the main limitation of this paper is the limited access to 3D real-world data, and data collection techniques like point cloud are expected to solve the problem.Shuo LengJia-Rui LinSun-Wei LiZhen-Zhong HuIEEEarticleBIM-GIS integrationbuilding designgeometric optimizationsite planningElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 148845-148861 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	BIM-GIS integration building design geometric optimization site planning Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	BIM-GIS integration building design geometric optimization site planning Electrical engineering. Electronics. Nuclear engineering TK1-9971 Shuo Leng Jia-Rui Lin Sun-Wei Li Zhen-Zhong Hu A Data Integration and Simplification Framework for Improving Site Planning and Building Design
description	Site planning and building design results are generally managed in Geographic Information System (GIS) and Building Information Modeling/Model (BIM) separately. The incompatibility of data has brought potential challenges for the assessment and delivery of the results. A data integration and simplification framework for improving site planning and building design is proposed in this paper. A BIM-GIS integrated model with a multi-scale data structure is developed to link the results of site planning and building design together. Geometric optimization algorithms are then designed to generate simplified building models with different levels of details (LODs) based on the information required at each scale. This paper provides a feasible way to integrate planning and design data from different sources to enhance the evaluation and delivery of the results. The proposed approach is validated by a village construction project in east China, and results show that the method is capable to integrate site planning and building design results from different platforms and support seamless visualization of multi-scale geometric data. It is also found that a seamless database facilitates understanding of planning and design results and improves communication efficiency. Currently, the main limitation of this paper is the limited access to 3D real-world data, and data collection techniques like point cloud are expected to solve the problem.
format	article
author	Shuo Leng Jia-Rui Lin Sun-Wei Li Zhen-Zhong Hu
author_facet	Shuo Leng Jia-Rui Lin Sun-Wei Li Zhen-Zhong Hu
author_sort	Shuo Leng
title	A Data Integration and Simplification Framework for Improving Site Planning and Building Design
title_short	A Data Integration and Simplification Framework for Improving Site Planning and Building Design
title_full	A Data Integration and Simplification Framework for Improving Site Planning and Building Design
title_fullStr	A Data Integration and Simplification Framework for Improving Site Planning and Building Design
title_full_unstemmed	A Data Integration and Simplification Framework for Improving Site Planning and Building Design
title_sort	data integration and simplification framework for improving site planning and building design
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/f1539fe5fb434af6b3dd20bb1e4572a5
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A Data Integration and Simplification Framework for Improving Site Planning and Building Design

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