通过尖端的人工智能方法彻底改变建筑行业:一篇回顾
Eliezer Zahid Gill1, Daniela Cardone1, Alessia Amelio2
1Department of Engineering and Geology, University "G. d'Annunzio" Chieti-Pescara, Pescara, Italy.
Frontiers in artificial intelligence
|December 27, 2024
概括
人工智能 (AI),机器学习 (ML) 和深度学习 (DL) 正在彻底改变建筑行业. 这些技术通过预测分析和实时监控来提高环境可持续性,运营效率和工人安全.
科学领域:
- 建筑工程与管理工程与管理
- 在土木工程中的人工智能.
- 可持续建筑技术 可持续建筑技术
背景情况:
- 建筑行业面临着持续的环境和运营挑战.
- 工业4.0技术,包括AI,ML和DL,提供了新的解决方案.
- 越来越需要整合先进的计算方法来提高性能和可持续性.
研究的目的:
- 审查AI,ML和DL在应对建筑行业挑战中的应用.
- 探索AI在预测空气污染,提高材料质量和监测工人安全方面的作用.
- 评估AI对建设中的网络物理系统 (CPS) 的贡献.
主要方法:
- 评估各种AI和ML模型,包括人工神经网络 (ANN) 和支持矢量机器 (SVM).
- 优化技术的评估,例如鱼和虫火焰优化.
- 关于人工智能应用在预测材料特性和监测工人健康指标方面的研究论文的审查.
主要成果:
- 人工智能模型有效地预测空气污染物水平 (PM2.5,PM10,NO2,CO,SO2,O3) 和材料压力强度.
- 人工智能增强了建筑材料的质量和实时工人安全监测 (姿势,心电图,手术表).
- 人工智能的进步,包括可解释的人工智能和培养网,正在改善建筑的CPS.
结论:
- 人工智能和机器学习技术对于当前和未来的建筑需求具有高度的适应性和有效性.
- 这些技术显示出促进可持续实践,提高运营效率和提高安全的巨大潜力.
- 为了更广泛地整合人工智能和在各种建筑环境中进行现实世界的验证,需要进一步的研究.
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