A knowledge-based cyber-physical system (CPS) architecture for informed decision making in construction

Yihai Fang, Nazila Roofigari-Esfahan, Chimay Anumba

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

2 Citations (Scopus)

Abstract

Most decision making in construction projects is accomplished by human beings based on manually collected information. This process is labor-intensive, error-prone, and heavily reliant on the knowledge and experience of the decision makers as well as the quality and reliability of the available information. Cyber-physical systems (CPS) offer the potential to transform traditional data collection approach and strengthen the coordination between cyber models and physical assets in a construction project. This paper describes a knowledge-based CPS architecture that aims at augmenting human decision making in construction. Domain knowledge, such as site policies, safety rules, and workflow logic, is elicited and compiled in an ontology-based knowledge hub. With the support of bi-directional cyber-physical communication, the knowledge hub inquiries relevant data from cyber models and physical assets, integrates real-time project data, and synthesizes context-specific information to facilitate human decision-making. This paper outlines the key challenges and technical requirements for creating the knowledge hub and its linkages with traditional CPS systems. It also presents two deployment scenarios in highway and building construction projects to demonstrate the realization a knowledge-based cyber-physical system and its potential in facilitating coordination and improving project performances in safety and efficiency.

Original languageEnglish
Title of host publicationConstruction Research Congress 2018
Subtitle of host publicationConstruction Information Technology - Selected Papers from the Construction Research Congress 2018
EditorsChao Wang, Charles Berryman, Rebecca Harris, Christofer Harper, Yongcheol Lee
PublisherAmerican Society of Civil Engineers
Pages662-672
Number of pages11
ISBN (Electronic)9780784481264
DOIs
Publication statusPublished - 1 Jan 2018
EventConstruction Research Congress 2018 - New Orleans, United States of America
Duration: 2 Apr 20184 Apr 2018

Publication series

NameConstruction Research Congress 2018: Construction Information Technology - Selected Papers from the Construction Research Congress 2018
Volume2018-April

Conference

ConferenceConstruction Research Congress 2018
Abbreviated titleCRC 2018
CountryUnited States of America
CityNew Orleans
Period2/04/184/04/18

Cite this

Fang, Y., Roofigari-Esfahan, N., & Anumba, C. (2018). A knowledge-based cyber-physical system (CPS) architecture for informed decision making in construction. In C. Wang, C. Berryman, R. Harris, C. Harper, & Y. Lee (Eds.), Construction Research Congress 2018: Construction Information Technology - Selected Papers from the Construction Research Congress 2018 (pp. 662-672). (Construction Research Congress 2018: Construction Information Technology - Selected Papers from the Construction Research Congress 2018; Vol. 2018-April). American Society of Civil Engineers. https://doi.org/10.1061/9780784481264.065
Fang, Yihai ; Roofigari-Esfahan, Nazila ; Anumba, Chimay. / A knowledge-based cyber-physical system (CPS) architecture for informed decision making in construction. Construction Research Congress 2018: Construction Information Technology - Selected Papers from the Construction Research Congress 2018. editor / Chao Wang ; Charles Berryman ; Rebecca Harris ; Christofer Harper ; Yongcheol Lee. American Society of Civil Engineers, 2018. pp. 662-672 (Construction Research Congress 2018: Construction Information Technology - Selected Papers from the Construction Research Congress 2018).
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abstract = "Most decision making in construction projects is accomplished by human beings based on manually collected information. This process is labor-intensive, error-prone, and heavily reliant on the knowledge and experience of the decision makers as well as the quality and reliability of the available information. Cyber-physical systems (CPS) offer the potential to transform traditional data collection approach and strengthen the coordination between cyber models and physical assets in a construction project. This paper describes a knowledge-based CPS architecture that aims at augmenting human decision making in construction. Domain knowledge, such as site policies, safety rules, and workflow logic, is elicited and compiled in an ontology-based knowledge hub. With the support of bi-directional cyber-physical communication, the knowledge hub inquiries relevant data from cyber models and physical assets, integrates real-time project data, and synthesizes context-specific information to facilitate human decision-making. This paper outlines the key challenges and technical requirements for creating the knowledge hub and its linkages with traditional CPS systems. It also presents two deployment scenarios in highway and building construction projects to demonstrate the realization a knowledge-based cyber-physical system and its potential in facilitating coordination and improving project performances in safety and efficiency.",
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Fang, Y, Roofigari-Esfahan, N & Anumba, C 2018, A knowledge-based cyber-physical system (CPS) architecture for informed decision making in construction. in C Wang, C Berryman, R Harris, C Harper & Y Lee (eds), Construction Research Congress 2018: Construction Information Technology - Selected Papers from the Construction Research Congress 2018. Construction Research Congress 2018: Construction Information Technology - Selected Papers from the Construction Research Congress 2018, vol. 2018-April, American Society of Civil Engineers, pp. 662-672, Construction Research Congress 2018, New Orleans, United States of America, 2/04/18. https://doi.org/10.1061/9780784481264.065

A knowledge-based cyber-physical system (CPS) architecture for informed decision making in construction. / Fang, Yihai; Roofigari-Esfahan, Nazila; Anumba, Chimay.

Construction Research Congress 2018: Construction Information Technology - Selected Papers from the Construction Research Congress 2018. ed. / Chao Wang; Charles Berryman; Rebecca Harris; Christofer Harper; Yongcheol Lee. American Society of Civil Engineers, 2018. p. 662-672 (Construction Research Congress 2018: Construction Information Technology - Selected Papers from the Construction Research Congress 2018; Vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

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AU - Anumba, Chimay

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N2 - Most decision making in construction projects is accomplished by human beings based on manually collected information. This process is labor-intensive, error-prone, and heavily reliant on the knowledge and experience of the decision makers as well as the quality and reliability of the available information. Cyber-physical systems (CPS) offer the potential to transform traditional data collection approach and strengthen the coordination between cyber models and physical assets in a construction project. This paper describes a knowledge-based CPS architecture that aims at augmenting human decision making in construction. Domain knowledge, such as site policies, safety rules, and workflow logic, is elicited and compiled in an ontology-based knowledge hub. With the support of bi-directional cyber-physical communication, the knowledge hub inquiries relevant data from cyber models and physical assets, integrates real-time project data, and synthesizes context-specific information to facilitate human decision-making. This paper outlines the key challenges and technical requirements for creating the knowledge hub and its linkages with traditional CPS systems. It also presents two deployment scenarios in highway and building construction projects to demonstrate the realization a knowledge-based cyber-physical system and its potential in facilitating coordination and improving project performances in safety and efficiency.

AB - Most decision making in construction projects is accomplished by human beings based on manually collected information. This process is labor-intensive, error-prone, and heavily reliant on the knowledge and experience of the decision makers as well as the quality and reliability of the available information. Cyber-physical systems (CPS) offer the potential to transform traditional data collection approach and strengthen the coordination between cyber models and physical assets in a construction project. This paper describes a knowledge-based CPS architecture that aims at augmenting human decision making in construction. Domain knowledge, such as site policies, safety rules, and workflow logic, is elicited and compiled in an ontology-based knowledge hub. With the support of bi-directional cyber-physical communication, the knowledge hub inquiries relevant data from cyber models and physical assets, integrates real-time project data, and synthesizes context-specific information to facilitate human decision-making. This paper outlines the key challenges and technical requirements for creating the knowledge hub and its linkages with traditional CPS systems. It also presents two deployment scenarios in highway and building construction projects to demonstrate the realization a knowledge-based cyber-physical system and its potential in facilitating coordination and improving project performances in safety and efficiency.

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A2 - Harris, Rebecca

A2 - Harper, Christofer

A2 - Lee, Yongcheol

PB - American Society of Civil Engineers

ER -

Fang Y, Roofigari-Esfahan N, Anumba C. A knowledge-based cyber-physical system (CPS) architecture for informed decision making in construction. In Wang C, Berryman C, Harris R, Harper C, Lee Y, editors, Construction Research Congress 2018: Construction Information Technology - Selected Papers from the Construction Research Congress 2018. American Society of Civil Engineers. 2018. p. 662-672. (Construction Research Congress 2018: Construction Information Technology - Selected Papers from the Construction Research Congress 2018). https://doi.org/10.1061/9780784481264.065