Abstract
Digital twin's anticipated value proposition is deemed to be focussed on its capability of generating new understanding and insights into an asset at all stages of its lifecycle exploiting diverse data sets from a multitude of sources and professions, in real or near real-time. However, there is still significant debate about the delineation ( communalities and differences) between digital twin and other related concepts, particularly Building In-formation Modelling (BIM) and Cyber-Physical Systems (CPS). To date, this debate has been confined to social media discussions, insights blogs and position papers. This paper addresses this challenge using a systematic review approach.
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