人工智能应用
生产力
工程类
人工智能
工业4.0
盈利能力指数
建筑业
资源效率
机器人学
经济短缺
工程管理
计算机科学
风险分析(工程)
制造工程
建筑工程
业务
机器人
政府(语言学)
哲学
经济
嵌入式系统
宏观经济学
财务
生物
语言学
生态学
作者
Sofiat Abioye,Lukumon O. Oyedele,Lukman Akanbi,Anuoluwapo Ajayi,Juan Manuel Dávila Delgado,Muhammad Bilal,Olúgbénga O. Akinadé,Ashraf Ahmed
标识
DOI:10.1016/j.jobe.2021.103299
摘要
The growth of the construction industry is severely limited by the myriad complex challenges it faces such as cost and time overruns, health and safety, productivity and labour shortages. Also, construction industry is one the least digitized industries in the world, which has made it difficult for it to tackle the problems it currently faces. An advanced digital technology, Artificial Intelligence (AI), is currently revolutionising industries such as manufacturing, retail, and telecommunications. The subfields of AI such as machine learning, knowledge-based systems, computer vision, robotics and optimisation have successfully been applied in other industries to achieve increased profitability, efficiency, safety and security. While acknowledging the benefits of AI applications, numerous challenges which are relevant to AI still exist in the construction industry. This study aims to unravel AI applications, examine AI techniques being used and identify opportunites and challenges for AI applications in the construction industry. A critical review of available literature on AI applications in the construction industry such as activity monitoring, risk management, resource and waste optimisation was conducted. Furthermore, the opportunities and challenges of AI applications in construction were identified and presented in this study. This study provides insights into key AI applications as it applies to construction-specific challenges, as well as the pathway to realise the acrueable benefits of AI in the construction industry.
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