Digital Twins in Architecture, Engineering, Construction and Operations: A Brief Review and Analysis

Ramy Al-Sehrawy*, Bimal Kumar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

41 Citations (Scopus)

Abstract

Advances in and pervasiveness of technologies like Internet of Things (IoT), Big Data (BD) and Big Data Analytics (BDA), Artificial Intelligence (AI), Cloud Computing (CC) and Cyber Physical Systems (CPS) have allowed for the dissemination of intelligence and innovative solutions across different industries including Architecture, Engineering, Construction and Operation (AECO). Recently, the ideas behind “Digital Twin″ (DT) have been gaining ground in the AECO sector. This paper briefly reviews and analyzes relevant literature to discover the origins of the DT idea; crystallizes a clear definition; identifies DT’s key features; highlights some case studies carried out so far and outlines some of the key applications and the challenges for wider adoption.

Original languageEnglish
Title of host publicationProceedings of the 18th International Conference on Computing in Civil and Building Engineering
Subtitle of host publicationICCCBE 2020
Place of PublicationCham, Switzerland
PublisherSpringer
Pages924-939
Number of pages16
Edition1st
ISBN (Electronic)9783030512958
ISBN (Print)9783030512941, 9783030512972
DOIs
Publication statusPublished - 14 Jul 2020

Publication series

NameLecture Notes in Civil Engineering
PublisherSpringer
Volume98
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

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