Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges

Искусственный интеллект в строительной отрасли: обзор современного состояния, возможностей и будущих вызовов
Juan Manuel Dávila Delgado, Lukumon O. Oyedele, Muhammad Bilal, Olúgbénga O. Akinadé, Anuoluwapo Ajayi, Ashraf Ahmed, Sofiat Abioye, Lukman Akanbi
2021-10-06

Artificial intelligenceComputer visionConstruction industryMachine learningRisk management
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.
1
AI offers opportunities to improve construction profitability, efficiency, safety, security, and productivity while addressing cost overruns, delays, and labor shortages.
2
It examines machine learning, knowledge-based systems, computer vision, robotics, and optimization techniques used in construction applications.
3
The construction industry remains comparatively under-digitized, limiting its ability to adopt and benefit from AI technologies.
4
The review identifies AI applications addressing construction challenges including activity monitoring, risk management, and resource and waste optimization.
5
The review identifies implementation challenges and presents a pathway for realizing AI’s potential benefits in construction.

Artificial Intelligence applications in the construction industry

The applications, techniques, opportunities, benefits, and challenges of artificial intelligence for addressing construction-specific challenges

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2021-10-06
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Juan Manuel Dávila Delgado
Lukumon O. Oyedele
Muhammad Bilal
Olúgbénga O. Akinadé
Anuoluwapo Ajayi
Ashraf Ahmed
Sofiat Abioye
Lukman Akanbi
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