.png){kind=icon}
返回
Towards big data driven construction industry
.png){kind=icon}
PRE
AI
DOI：10.1016/j.jii.2023.100483.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The construction industry is currently going through an intelligent revolution. The profound transformation of the Industry 4.0 era is made possible by contemporary technologies such as Internet of Things (IoT), cloud computing, and robotics. Essentially, the vast amount of diverse big data from many sources should be properly utilized to enhance the entire life-cycle construction process. Construction efficiency can be enhanced while material waste and construction expenses are reduced, planning and decision-making processes can be improved while errors are lowered, and applications of big data in construction analytics will make construction sites safer. This article not only offers a comprehensive review of the advantages of associated big data approaches, but it also assesses the current state of the art in the construction industry. Several unresolved difficulties are also discussed. In the end, we express our thoughts on the potential future of big data in the construction industry.
Keyword:
Construction
Big data
Data analytics
Data engineering
期刊
IF:
11.6
论文数:
916
被引数:
4.4K
机构
引用论文
Use of scid mice to identify and quantitate lymphoid-restricted stem cells in long-term bone marrow cultures.png)
Blood
OAAI
BloodIF0
OAAI分享收藏分享收藏A deep learning-based method for detecting non-certified work on construction sites一种基于深度学习的建筑工地非认证工作检测方法
PREAI
分享收藏Wearable sensors for monitoring on-duty and off-duty worker physiological status and activities in construction可穿戴传感器，用于监测施工中的值班和下班工人的生理状态和活动
PREAI
分享收藏A Global Manufacturing Big Data Ecosystem for Fault Detection in Predictive Maintenance用于预测性维护中故障检测的全球制造大数据生态系统
PREAI
分享收藏Big Data in the construction industry: A review of present status, opportunities, and future trends建筑行业的大数据: 现状，机遇和未来趋势的回顾
PREAI
分享收藏
查看更多内容