文章基本信息

标题：An assessment on the parallel impacts of building information modeling and big data on project operation and maintenance
本地全文：下载
作者：Masoud Shayganmehr ; Ehsan Saghatforoush
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2019
卷号：276
DOI：10.1051/matecconf/201927602002
语种：English
出版社：EDP Sciences
摘要：Operation and maintenance challenges have always been pronounced in construction projects. Many solutions have been proposed to mitigate the common problems but the solution are not sufficient to get over the challenges, therefore, many software-based concepts such as Building Information Modeling have been unveiled to evaluate the construction prior to initiating the project and envision the potential challenges which exist on the way. For higher accuracy IT solutions can be accompanied with Building Information Modeling to leverage the performance and precision of modeling such as Big Data, data mining and even RFID tags, this paper aims to carry out an in-depth literature review on how BIM alongside with Big Data solutions have parallel impacts into higher efficiency and performance of operation and maintenance in construction projects.