NDLI: Analysis of the influencing factors for the practical application of BIM in combination with AI in Germany

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Analysis of the influencing factors for the practical application of BIM in combination with AI in Germany

Content Provider	Scilit
Author	Shamreeva, A. Doroschkin, A.
Copyright Year	2021
Description	By using Building Information Modeling (BIM) methodology in the architecture, engineering and construction (AEC) sector, construction participants create digital building models and produce large amounts of information during the entire life cycle of a building. This generated digital data may also be used for further evaluation, analysis and simulation of machine intelligence. The integration of AI methods into the construction process is feasible in various application areas, such as building design, industrial prefabrication, planning on the construction site and project management. The aim of this study was to identify the factors that influence the practical application of BIM in combination with AI in the German construction industry. In the course of this research, the most important aspects of the country-specific AI initiation relating to BIM data were gathered and evaluated, and, based on this analysis, the potential application-oriented goals of BIM and AI methods can be carried for AEC. Book Name: ECPPM 2021 – eWork and eBusiness in Architecture, Engineering and Construction
Related Links	https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/9781003191476-72&type=chapterpdf
Ending Page	543
Page Count	8
Starting Page	536
DOI	10.1201/9781003191476-72
Language	English
Publisher	Informa UK Limited
Publisher Date	2021-07-22
Access Restriction	Open
Subject Keyword	Book Name: Ecppm 2021 – Ework and Ebusiness in Architecture, Engineering and Construction Building Models Bim Digital Aec Construction Ai Methods Practical Application Influencing
Content Type	Text
Resource Type	Chapter

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