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BIM Bin: Waste Management Through BIM and Digital Twin

BIM Bin: Waste Management Through BIM and Digital Twin

Ricardo Codinhoto, Olivia Becher, Jonathan Neil Heron, Vincenzo Donato
ISBN13: 9781799870913|ISBN10: 179987091X|ISBN13 Softcover: 9781799870920|EISBN13: 9781799870937
DOI: 10.4018/978-1-7998-7091-3.ch013
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MLA

Codinhoto, Ricardo, et al. "BIM Bin: Waste Management Through BIM and Digital Twin." Handbook of Research on Developing Smart Cities Based on Digital Twins, edited by Matteo Del Giudice and Anna Osello, IGI Global, 2021, pp. 265-294. https://doi.org/10.4018/978-1-7998-7091-3.ch013

APA

Codinhoto, R., Becher, O., Heron, J. N., & Donato, V. (2021). BIM Bin: Waste Management Through BIM and Digital Twin. In M. Del Giudice & A. Osello (Eds.), Handbook of Research on Developing Smart Cities Based on Digital Twins (pp. 265-294). IGI Global. https://doi.org/10.4018/978-1-7998-7091-3.ch013

Chicago

Codinhoto, Ricardo, et al. "BIM Bin: Waste Management Through BIM and Digital Twin." In Handbook of Research on Developing Smart Cities Based on Digital Twins, edited by Matteo Del Giudice and Anna Osello, 265-294. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-7091-3.ch013

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Abstract

A groundswell of opinion exist about the present and future use of smart cities and digital twin technologies and processes and, despite increasing use of information modelling, artificial intelligence, and internet of things, many challenges remain in designing and implement integrated smart systems in large scale contexts. Often, the big picture is shadowed by fragmented processes, and there is a disconnect between the problem and the solution. This chapter aims to address this inverted approach, based on a solution looking for a problem by focusing on the problems of developing integrated solutions for smart cities based on digital twins. The narrative in this chapter is informed by a research project exploring the digitalisation of facilities management processes in Bath, UK. The conclusion is that the development of digital twins goes far beyond linking digital models to sensors.

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