{"title":"Analysis of a building collaborative platform for Industry 4.0 based on Building Information Modelling technology","authors":"Chungang Ding, Rashi Kohli","doi":"10.1049/cim2.12036","DOIUrl":null,"url":null,"abstract":"<p>Technology and revolutions have powered the growth of Industry 4.0, the fourth industrial uprising. Industry 4.0 inspires progress and expansion through its efficiency capacity, as given in the literature. To improve the design quality and design efficiency of construction engineering units, this study adopts Building Information Modelling technology concepts. The implementation of Building Information Modelling in construction developments includes the digital demonstration of the fleshly and efficient features of the constituents that organise a production project. The centre for International Finance Corporation Standards' research is to achieve the goal of collaborative work in the whole life cycle of buildings and the Building Information Modelling technology building collaboration platform. Current challenges and limitations of the typical Building Information Modelling architectural collaboration platform based on the Building Information Modelling application are discussed in detail with some possible suggestions. The research shows that the development of a Building Information Modelling architectural collaboration platform based on the Building Information Modelling application software is very critical. The construction collaboration platform based on Building Information Modelling technology can achieve a higher degree of data sharing and strengthen the coordination of the work of various agencies in construction engineering.</p>","PeriodicalId":33286,"journal":{"name":"IET Collaborative Intelligent Manufacturing","volume":"3 3","pages":"233-242"},"PeriodicalIF":2.5000,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/cim2.12036","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Collaborative Intelligent Manufacturing","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/cim2.12036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 8
Abstract
Technology and revolutions have powered the growth of Industry 4.0, the fourth industrial uprising. Industry 4.0 inspires progress and expansion through its efficiency capacity, as given in the literature. To improve the design quality and design efficiency of construction engineering units, this study adopts Building Information Modelling technology concepts. The implementation of Building Information Modelling in construction developments includes the digital demonstration of the fleshly and efficient features of the constituents that organise a production project. The centre for International Finance Corporation Standards' research is to achieve the goal of collaborative work in the whole life cycle of buildings and the Building Information Modelling technology building collaboration platform. Current challenges and limitations of the typical Building Information Modelling architectural collaboration platform based on the Building Information Modelling application are discussed in detail with some possible suggestions. The research shows that the development of a Building Information Modelling architectural collaboration platform based on the Building Information Modelling application software is very critical. The construction collaboration platform based on Building Information Modelling technology can achieve a higher degree of data sharing and strengthen the coordination of the work of various agencies in construction engineering.
期刊介绍:
IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly.
The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).