Artificial intelligence for deconstruction: Current state, challenges, and opportunities

被引:2
|
作者
Balogun, Habeeb [1 ]
Alaka, Hafiz [1 ]
Demir, Eren [2 ]
Egwim, Christian Nnaemeka [1 ]
Olu-Ajayi, Razak [1 ]
Sulaimon, Ismail [1 ]
Oseghale, Raphael [1 ]
机构
[1] Univ Hertfordshire, Big Data Technol & Innovat Lab, Hatfield, England
[2] Univ Hertfordshire, Business Analyt & Stat Grp, Business Sch, Hatfield, England
关键词
Artificial intelligence; Deconstruction; Sustainability; Challenges; Opportunities; FAILURE PREDICTION; DAMAGE PREDICTION; CIRCULAR ECONOMY; BIG DATA; CONSTRUCTION; MODEL; PERFORMANCE; BUILDINGS; BUSINESS; JOURNALS;
D O I
10.1016/j.autcon.2024.105641
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Artificial intelligence and its subfields, such as machine learning, robotics, optimisation, knowledge-based systems, reality capture and extended reality, have brought remarkable advancements and transformative changes to various industries, including the building deconstruction industry. Acknowledging AI's benefits for deconstruction, this paper aims to investigate AI applications within this domain. A systematic review of existing literature focused on AI applications for planning, implementation and post-implementation activities within the context of deconstruction was carried out. Furthermore, the challenges and opportunities of AI for deconstruction activities were identified and presented in this paper. By offering insights into AI's application for key deconstruction activities, this paper paves the way for realising AI's potential benefits for this sector.
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页数:15
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