A Scalable Cyber-Physical System Data Acquisition Framework for the Smart Built Environment

Xinghua Gao; Pardis Pishdad-Bozorgi; Dennis R. Shelden; Shu Tang

doi:10.1061/9780784482445.033

A Scalable Cyber-Physical System Data Acquisition Framework for the Smart Built Environment

Xinghua Gao
, Pardis Pishdad-Bozorgi
, Dennis R. Shelden
, Shu Tang

Georgia Institute of Technology

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

6 Citations (Scopus)

Abstract

With the networks of sophisticated sensors and devices, building systems have the potential to serve as the infrastructure that provides essential data for the Internet of things (IoT)-enabled smart city paradigm. However, current building systems lack inter-system connectivity or exposure to the larger networks of IoT devices. In this paper, we propose a scalable data acquisition framework for the smart built environment - smart buildings, smart communities, and smart cities - that enables the utilization of the data housed in separate building systems for innovative IoT use cases, by understanding IoT stakeholders' common data needs from buildings and identifying the overlaps between the data protocols used by different building systems. An architecture of IoT-enabled smart cities based on this data acquisition framework is also demonstrated.

Original language	English
Title of host publication	Computing in Civil Engineering 2019
Subtitle of host publication	Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019
Editors	Yong K. Cho, Fernanda Leite, Amir Behzadan, Chao Wang
Publisher	American Society of Civil Engineers (ASCE)
Pages	259-266
Number of pages	8
ISBN (Electronic)	9780784482445
DOIs	https://doi.org/10.1061/9780784482445.033
Publication status	Published - 2019
Externally published	Yes
Event	ASCE International Conference on Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience, i3CE 2019 - Atlanta, United States Duration: 17 Jun 2019 → 19 Jun 2019

Publication series

Name	Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019

Conference

Conference	ASCE International Conference on Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience, i3CE 2019
Country/Territory	United States
City	Atlanta
Period	17/06/19 → 19/06/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Access to Document

10.1061/9780784482445.033

Cite this

Gao, X., Pishdad-Bozorgi, P., Shelden, D. R., & Tang, S. (2019). A Scalable Cyber-Physical System Data Acquisition Framework for the Smart Built Environment. In Y. K. Cho, F. Leite, A. Behzadan, & C. Wang (Eds.), Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019 (pp. 259-266). (Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784482445.033

Gao, Xinghua ; Pishdad-Bozorgi, Pardis ; Shelden, Dennis R. et al. / A Scalable Cyber-Physical System Data Acquisition Framework for the Smart Built Environment. Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019. editor / Yong K. Cho ; Fernanda Leite ; Amir Behzadan ; Chao Wang. American Society of Civil Engineers (ASCE), 2019. pp. 259-266 (Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019).

@inproceedings{b8aaf7358a4e4d36a5e7b7cea871ff04,

title = "A Scalable Cyber-Physical System Data Acquisition Framework for the Smart Built Environment",

abstract = "With the networks of sophisticated sensors and devices, building systems have the potential to serve as the infrastructure that provides essential data for the Internet of things (IoT)-enabled smart city paradigm. However, current building systems lack inter-system connectivity or exposure to the larger networks of IoT devices. In this paper, we propose a scalable data acquisition framework for the smart built environment - smart buildings, smart communities, and smart cities - that enables the utilization of the data housed in separate building systems for innovative IoT use cases, by understanding IoT stakeholders' common data needs from buildings and identifying the overlaps between the data protocols used by different building systems. An architecture of IoT-enabled smart cities based on this data acquisition framework is also demonstrated.",

author = "Xinghua Gao and Pardis Pishdad-Bozorgi and Shelden, \{Dennis R.\} and Shu Tang",

note = "Publisher Copyright: {\textcopyright} 2019 American Society of Civil Engineers.; ASCE International Conference on Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience, i3CE 2019 ; Conference date: 17-06-2019 Through 19-06-2019",

year = "2019",

doi = "10.1061/9780784482445.033",

language = "English",

series = "Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019",

publisher = "American Society of Civil Engineers (ASCE)",

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booktitle = "Computing in Civil Engineering 2019",

}

Gao, X, Pishdad-Bozorgi, P, Shelden, DR & Tang, S 2019, A Scalable Cyber-Physical System Data Acquisition Framework for the Smart Built Environment. in YK Cho, F Leite, A Behzadan & C Wang (eds), Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019. Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019, American Society of Civil Engineers (ASCE), pp. 259-266, ASCE International Conference on Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience, i3CE 2019, Atlanta, United States, 17/06/19. https://doi.org/10.1061/9780784482445.033

A Scalable Cyber-Physical System Data Acquisition Framework for the Smart Built Environment. / Gao, Xinghua; Pishdad-Bozorgi, Pardis; Shelden, Dennis R. et al.
Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019. ed. / Yong K. Cho; Fernanda Leite; Amir Behzadan; Chao Wang. American Society of Civil Engineers (ASCE), 2019. p. 259-266 (Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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AB - With the networks of sophisticated sensors and devices, building systems have the potential to serve as the infrastructure that provides essential data for the Internet of things (IoT)-enabled smart city paradigm. However, current building systems lack inter-system connectivity or exposure to the larger networks of IoT devices. In this paper, we propose a scalable data acquisition framework for the smart built environment - smart buildings, smart communities, and smart cities - that enables the utilization of the data housed in separate building systems for innovative IoT use cases, by understanding IoT stakeholders' common data needs from buildings and identifying the overlaps between the data protocols used by different building systems. An architecture of IoT-enabled smart cities based on this data acquisition framework is also demonstrated.

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Gao X, Pishdad-Bozorgi P, Shelden DR, Tang S. A Scalable Cyber-Physical System Data Acquisition Framework for the Smart Built Environment. In Cho YK, Leite F, Behzadan A, Wang C, editors, Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019. American Society of Civil Engineers (ASCE). 2019. p. 259-266. (Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019). doi: 10.1061/9780784482445.033

A Scalable Cyber-Physical System Data Acquisition Framework for the Smart Built Environment

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