Using AI as a support tool for bridging construction informal sector mechanisms to sustainable development requirements

IF 2.8 Q2 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Journal of Decision Systems Pub Date : 2022-05-18 DOI:10.1080/12460125.2022.2073859
Fandjio Yonzou Cédric Cabral, Mbiada Mbiada Patrick Joël, Pettang Nana Ursula Joyce Merveilles, Manjia Marcelline Blanche, Kouamou Georges Edouard, Pettang Chrispin
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引用次数: 1

Abstract

ABSTRACT Over 85% of Cameroonians use building informal sector mechanisms which involve a disorganized and varied workforce, types and qualities of materials from various origins with unclear supply networks, supported by a wide range of funding sources. Although previous work enabled us to master these mechanisms, their complexity is accentuated by sustainable development requirements and sanitary measures. Sustainability concept deals with fields to respond to social, economic and environmental challenges but its operationality in building encounters many difficulties due to informal mechanisms complexity. Dealing with this environment recommend taking advantage of Building Information Modeling, especially the assets of artificial intelligence (AI) to get appropriate, rapid, and diversified assistance. In this paper, we propose a concept of intelligent building sites management combining knowledge base, information system capitalizing on previous best practices and achievements to organize several construction sites in real-time with all requirements including those of SD goals and covid-19.
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利用人工智能作为辅助工具,将建筑非正规部门机制与可持续发展要求衔接起来
超过85%的喀麦隆人正在建立非正规部门机制,这些机制涉及无组织和多样化的劳动力,来自不同来源的材料类型和质量,供应网络不明确,由广泛的资金来源支持。虽然以前的工作使我们能够掌握这些机制,但可持续发展要求和卫生措施使其更加复杂。可持续性概念涉及应对社会、经济和环境挑战的领域,但由于非正式机制的复杂性,其在建筑中的可操作性遇到了许多困难。应对这种环境建议利用建筑信息模型,特别是人工智能(AI)的资产来获得适当、快速和多样化的帮助。在本文中,我们提出了一种结合知识库和信息系统的智能建筑工地管理概念,利用以往的最佳实践和成果,实时组织多个建筑工地,满足可持续发展目标和covid-19的所有要求。
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来源期刊
Journal of Decision Systems
Journal of Decision Systems OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
6.30
自引率
23.50%
发文量
55
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