Integrated Mobile-BIM System for Optimised Construction Process: A Big Data Analytics for Simulation, Visualization and Real-time Updates of On-site Activities
Integrated Mobile-BIM System for Optimised Construction Process: A Big Data Analytics for Simulation, Visualization and Real-time Updates of On-site Activities
批准号:
102061
负责人:
金额:
$144.58万
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --
中文摘要
成本和时间超支在建筑业很普遍。这是造成利益攸关方不满的最关键因素(CI,2011年)。为了更好地满足项目交付,目前正在使用BIM。然而,承包商没有一个虚拟仿真平台,可用于模拟和基准他们的施工交付过程,沿着不同的施工技术,材料,厂房和设备以及人员,可以导致最佳的BIM交付模型。除此之外,还有过多的文书工作、手工方法、低水平的协作、高水平的重复工作、浪费和错误。现有BIM工具(即ArchiCAD、Revit等)在解决这些运营效率低下的问题上做得不够。该项目的总体目标是开发一个集成的移动BIM系统,该系统包括(i)优化的BIM模拟工具,以及(ii)3个移动的应用程序(App),这些应用程序将使用大数据分析生成并使用云计算技术集成在一起。除了帮助实现施工交付流程数字化和消除运营效率低下外,该项目还将实现英国政府2016年2级BIM目标。
英文摘要
Cost and time overruns are rife in construction. It is the most critical factor causing stakeholders’ dissatisfaction (CI, 2011). To better meet project deliverables, BIM is being currently used. However, contractors do not have a virtual simulation platform that can be used to simulate & benchmark their construction delivery processes, along with different construction techniques, materials, plant & equipment and personnel that can lead to optimum BIM delivery model. This is addition to excessive paperwork, artisanal approach, low levels of collaboration, high levels of repetition of effort, waste and errors. Existing BIM tool (i.e. ArchiCAD, Revit etc.) are not doing enough to tackle these operational inefficiencies. The overall aim of this project is to develop an integrated Mobile-BIM system that comprises of (i) Optimised BIM Simulation tool, and (ii) 3 Mobile Applications (Apps) that will be produced using Big Data Analytics and integrated together using Cloud Computing Technologies. Apart from helping to digitise the construction delivery process & eliminating operational ineffciencies, this project will enable attainment of UK Government’s 2016 target for Level 2 BIM.
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批准号:2020A151501586
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项目类别:省市级项目
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资助金额:10.0万元
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批准年份:2020
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负责人:曲久鑫
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依托单位:
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批准号:60873037
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项目类别:面上项目
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资助金额:32.0万元
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批准年份:2008
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负责人:张健沛
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依托单位:
基于支持向量机的Mobile Agent系统中数据分类方法研究
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批准号:60673131
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项目类别:面上项目
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资助金额:8.0万元
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批准年份:2006
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负责人:张健沛
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依托单位: