人工智能和机器学习在建筑行业的项目生命周期中的应用:全面审查
Shuvo Dip Datta1, Mobasshira Islam1, Md Habibur Rahman Sobuz1
1Department of Building Engineering and Construction Management, Khulna University of Engineering & Technology, Khulna-9203, Bangladesh.
Heliyon
|March 6, 2024
概括
人工智能 (AI) 和机器学习 (ML) 为成本超支等建筑挑战提供了解决方案. 本研究将人工智能和机器学习应用在整个建筑项目生命周期中分类,确定当前的用途和未来的机会.
科学领域:
- 建设管理建设管理.
- 建筑环境中的数字化
- 人工智能和机器学习应用程序
背景情况:
- 建筑行业面临着重大挑战,包括时间表延迟,成本超支,生产率问题和劳动力短缺.
- 建筑业的数字化采用落后于其他行业,尽管人工智能 (AI) 和机器学习 (ML) 的变革潜力.
- 在整个建筑项目生命周期中系统地对AI和ML应用进行分类存在差距.
研究的目的:
- 在各种建筑项目阶段对AI和ML部署进行彻底评估.
- 为建筑行业有效整合AI和ML系统提供有价值的见解.
- 根据建筑项目的生命周期,系统地对AI和ML应用进行分类.
主要方法:
- 进行了全面的文献审查,以确定建筑行业中现有的AI和ML应用.
- 根据建筑项目生命周期的不同阶段,分析和分类AI和ML应用程序.
- 现有文献进行了批判性审查,以确定趋势和机会.
主要成果:
- 目前,人工智能和机器学习应用在项目规划和施工阶段最为普遍.
- 该研究提出了与建筑项目生命周期相一致的AI和ML应用的分类.
- 确定并讨论了在其他项目阶段部署AI和ML的机会.
结论:
- 人工智能和机器学习有很大的潜力通过解决行业挑战来彻底改变建筑行业.
- 根据项目阶段对AI和ML应用程序进行系统的分类对于有效的整合至关重要.
- 进一步的研究和开发可以在所有建筑阶段释放智能系统的全部潜力.
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