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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
Copyright: © 2023 |Pages: 29
ISBN13: 9781668475485|ISBN10: 1668475480|EISBN13: 9781668475492
DOI: 10.4018/978-1-6684-7548-5.ch023
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MLA

Codinhoto, Ricardo, et al. "BIM Bin: Waste Management Through BIM and Digital Twin." Research Anthology on BIM and Digital Twins in Smart Cities, edited by Information Resources Management Association, IGI Global, 2023, pp. 504-532. https://doi.org/10.4018/978-1-6684-7548-5.ch023

APA

Codinhoto, R., Becher, O., Heron, J. N., & Donato, V. (2023). BIM Bin: Waste Management Through BIM and Digital Twin. In I. Management Association (Ed.), Research Anthology on BIM and Digital Twins in Smart Cities (pp. 504-532). IGI Global. https://doi.org/10.4018/978-1-6684-7548-5.ch023

Chicago

Codinhoto, Ricardo, et al. "BIM Bin: Waste Management Through BIM and Digital Twin." In Research Anthology on BIM and Digital Twins in Smart Cities, edited by Information Resources Management Association, 504-532. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-7548-5.ch023

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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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