Towards a Holistic, Self-Organised Safety Framework for Construction

Christos Chronopoulos; Karsten W. Johansen; Jochen Teizer; Carl Peter Leslie Schultz; Lukas Esterle

doi:10.1109/ACSOS-C52956.2021.00060

Towards a Holistic, Self-Organised Safety Framework for Construction

Christos Chronopoulos, Karsten W. Johansen, Jochen Teizer, Carl Peter Leslie Schultz, Lukas Esterle

Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review

Abstract

In this short vision paper we outline a framework incorporating multi-modal sensory information into so-called digital twins in construction sites. Starting from a first-order principle model (i.e., the construction plan), we enrich the digital twin during runtime with additional information such as work plans, identified and mitigated hazard zones, and current location of workers, resources, and mobile equipment. Utilising this information in the digital twin allows executing simulations to predict potentially dangerous situations for workers. Feedback mechanisms allow us to inform workers accordingly but also improve the construction site and the corresponding digital twin during the building process in an autonomous and self-organised fashion.

Originalsprog	Engelsk
Titel	Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021
Antal sider	6
Forlag	IEEE
Publikationsdato	18 nov. 2021
Sider	238-243
ISBN (Elektronisk)	978-1-6654-4393-7
DOI	https://doi.org/10.1109/ACSOS-C52956.2021.00060
Status	Udgivet - 18 nov. 2021
Begivenhed	2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) - Virtual, Washington DC Varighed: 27 sep. 2021 → 1 okt. 2021 https://conf.researchr.org/home/acsos-2021

Konference

Konference	2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)
Lokation	Virtual, Washington DC
Periode	27/09/2021 → 01/10/2021
Internetadresse	https://conf.researchr.org/home/acsos-2021

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10.1109/ACSOS-C52956.2021.00060

https://ieeexplore.ieee.org/document/9599316/authors#authors

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Citationsformater

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title = "Towards a Holistic, Self-Organised Safety Framework for Construction",

abstract = "In this short vision paper we outline a framework incorporating multi-modal sensory information into so-called digital twins in construction sites. Starting from a first-order principle model (i.e., the construction plan), we enrich the digital twin during runtime with additional information such as work plans, identified and mitigated hazard zones, and current location of workers, resources, and mobile equipment. Utilising this information in the digital twin allows executing simulations to predict potentially dangerous situations for workers. Feedback mechanisms allow us to inform workers accordingly but also improve the construction site and the corresponding digital twin during the building process in an autonomous and self-organised fashion.",

keywords = "Construction, Digital twin, Safety, Self-organisation",

author = "Christos Chronopoulos and Johansen, {Karsten W.} and Jochen Teizer and Schultz, {Carl Peter Leslie} and Lukas Esterle",

year = "2021",

month = nov,

day = "18",

doi = "10.1109/ACSOS-C52956.2021.00060",

language = "English",

pages = "238--243",

booktitle = "Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021",

publisher = "IEEE",

note = "2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) ; Conference date: 27-09-2021 Through 01-10-2021",

url = "https://conf.researchr.org/home/acsos-2021",

}

Chronopoulos, C, Johansen, KW, Teizer, J, Schultz, CPL & Esterle, L 2021, Towards a Holistic, Self-Organised Safety Framework for Construction. i Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021. IEEE, s. 238-243, 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), 27/09/2021. https://doi.org/10.1109/ACSOS-C52956.2021.00060

Towards a Holistic, Self-Organised Safety Framework for Construction. / Chronopoulos, Christos; Johansen, Karsten W.; Teizer, Jochen et al.
Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021. IEEE, 2021. s. 238-243.

Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - Towards a Holistic, Self-Organised Safety Framework for Construction

AU - Chronopoulos, Christos

AU - Johansen, Karsten W.

AU - Teizer, Jochen

AU - Schultz, Carl Peter Leslie

AU - Esterle, Lukas

PY - 2021/11/18

Y1 - 2021/11/18

N2 - In this short vision paper we outline a framework incorporating multi-modal sensory information into so-called digital twins in construction sites. Starting from a first-order principle model (i.e., the construction plan), we enrich the digital twin during runtime with additional information such as work plans, identified and mitigated hazard zones, and current location of workers, resources, and mobile equipment. Utilising this information in the digital twin allows executing simulations to predict potentially dangerous situations for workers. Feedback mechanisms allow us to inform workers accordingly but also improve the construction site and the corresponding digital twin during the building process in an autonomous and self-organised fashion.

AB - In this short vision paper we outline a framework incorporating multi-modal sensory information into so-called digital twins in construction sites. Starting from a first-order principle model (i.e., the construction plan), we enrich the digital twin during runtime with additional information such as work plans, identified and mitigated hazard zones, and current location of workers, resources, and mobile equipment. Utilising this information in the digital twin allows executing simulations to predict potentially dangerous situations for workers. Feedback mechanisms allow us to inform workers accordingly but also improve the construction site and the corresponding digital twin during the building process in an autonomous and self-organised fashion.

KW - Construction

KW - Digital twin

KW - Safety

KW - Self-organisation

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U2 - 10.1109/ACSOS-C52956.2021.00060

DO - 10.1109/ACSOS-C52956.2021.00060

M3 - Article in proceedings

SP - 238

EP - 243

BT - Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021

PB - IEEE

T2 - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)

Y2 - 27 September 2021 through 1 October 2021

ER -

Towards a Holistic, Self-Organised Safety Framework for Construction

Abstract

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