Construction Productivity Graph: a comprehensive methodology based on BIM and AI techniques to enhance productivity and safety on construction sites

IF 1 Q3 URBAN STUDIES
Francesco Livio Rossini, Gabriele Novembri
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引用次数: 0

Abstract

The construction sector is characterised by distinctive issues, such as product uniqueness, the reluctance to introduce innovation, player fragmentation leading to a low productivity level and a related high level of risk intended due to the increased likelihood of damages and injuries, and the consequences on construction productivity. The common European Union regulatory framework provides strict regulations about on-site working activities, but there is still no standard for the environmental and social sustainability of construction sites. Productivity assumes a crucial role in reducing the environmental impact of construction and positively influences workers’ safety due to higher levels of organisation, reducing time, costs, resource consumption and wasted time. This paper presents a methodology developed by augmenting BIM systems capabilities using Agent-based simulation techniques to simulate and optimise on-site work. The augmented BIM model allows analysis of site conditions in terms of space utilisation and resource allocation, resulting in the ‘Construction Productivity Graph – CPG’. This graphic representation synthesises the results obtained, making it possible to visualise the work progression in different working areas with the resources employed, allowing for the management of productivity rates and the verification of work safety conditions.
建筑生产力图:基于BIM和人工智能技术的综合方法,以提高建筑工地的生产力和安全性
建筑行业的特点是存在一些独特的问题,如产品的独特性、不愿引入创新、玩家分裂导致低生产力水平,以及由于损坏和受伤的可能性增加而导致的相关高风险水平,以及对建筑生产力的影响。欧盟共同监管框架对现场工作活动提供了严格的规定,但对建筑工地的环境和社会可持续性仍然没有标准。生产力在减少建筑对环境的影响方面起着至关重要的作用,由于更高的组织水平,减少了时间、成本、资源消耗和浪费时间,对工人的安全产生了积极的影响。本文提出了一种方法,通过使用基于代理的仿真技术来模拟和优化现场工作,从而增强BIM系统的功能。增强的BIM模型允许在空间利用和资源分配方面分析现场条件,从而产生“建筑生产力图- CPG”。这种图形表示综合了所获得的结果,使不同工作区域的工作进度与所使用的资源可视化成为可能,允许生产率管理和工作安全条件的验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.70
自引率
35.30%
发文量
0
审稿时长
4 weeks
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