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A framework of indicators for assessing construction automation and robotics in the sustainability context

机译:在可持续性背景下评估建筑自动化和机器人技术的指标框架

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"Building production" technology, i.e. construction automation and robotics (CAR), is on a worldwide level increasingly recognized as stating a key element of the future of construction, although CAR up to date has never experienced large-scale real-world implementation. However, the recent significantly growing demand for sustainability has the potential to serve as the necessitated trigger for CAR's large-scale deployment. In that context, systematic guidance for the construction industry is however missing, and there have been limited attempts to thoroughly investigate the impacts of utilizing CAR with regard to the sustainability performance of construction and buildings. The research presented in this paper makes a first step to fill this research gap by reviewing and investigating the available CAR strategies and technologies and developing for the first time a consistent framework of indicators for assessing the sustainability performance of utilizing CAR for buildings. The overall goal of the research is to develop, through this framework, a robust and reliable assessment method that can be used in the industrial context to assess the sustainability of building construction projects that consider using CAR. Beyond the development of the indicator framework, the research plan adopting the V-Model approach foresees to translate the framework into an assessment method which will then in several iteration cycles be verified and validated in real world. (C) 2018 Elsevier Ltd. All rights reserved.
机译:尽管“建筑生产”技术(即建筑自动化和机器人技术(CAR))已在全球范围内得到越来越多的认可,这表明其是建筑未来的关键要素,尽管迄今为止CAR从未经历过大规模的实际应用。但是,最近对可持续性的需求显着增长,有可能成为CAR大规模部署的必然触发因素。但是,在这种情况下,缺少对建筑行业的系统性指导,并且进行了有限的尝试来彻底调查利用CAR对建筑和建筑物的可持续性性能的影响。本文中提出的研究通过审查和研究可用的CAR策略和技术,并首次开发出用于评估将CAR用于建筑物的可持续性性能的指标框架,从而填补了这一研究空白。研究的总体目标是通过该框架开发一种可靠的可靠评估方法,该方法可在工业环境中用于评估考虑使用CAR的建筑项目的可持续性。除了指标框架的开发之外,采用V模型方法的研究计划还可以将框架转换为评估方法,然后在多个迭代周期中对它们进行现实的验证。 (C)2018 Elsevier Ltd.保留所有权利。

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