Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)

Hardware Design of Intelligent Management System of Construction Site Based on Internet of Things

Authors
Xiao-wen Bian, Zhao-jun Ren
Corresponding Author
Xiao-wen Bian
Available Online July 2017.
DOI
https://doi.org/10.2991/iccse-17.2017.18How to use a DOI?
Keywords
Construction site, The Internet of things, Intelligent management system, Hardware design
Abstract
Intelligent management of building construction site based on Internet of things is an inevitable trend of construction site management in china. In this paper, the hardware is designed based on IOT technology. The hardware could realize construction in site management, construction site crane operation real-time monitoring, environmental and safety monitoring, fire monitoring aspects of the perception layer, transport layer and application layer. Through testing the hardware, the results show that it could meet the requests of construction site management, and has achieved the design objective. The application of the new hardware can be more efficient, more convenient and could get the real-time understanding of construction site personnel, equipment, environment, etc. It could be also used in the safety security, fire protection, construction safety, green and environmental protection.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 International Conference on Computational Science and Engineering(ICCSE 2017)
Part of series
Advances in Computer Science Research
Publication Date
July 2017
ISBN
978-94-6252-404-0
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccse-17.2017.18How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiao-wen Bian
AU  - Zhao-jun Ren
PY  - 2017/07
DA  - 2017/07
TI  - Hardware Design of Intelligent Management System of Construction Site Based on Internet of Things
BT  - 2017 International Conference on Computational Science and Engineering(ICCSE 2017)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-17.2017.18
DO  - https://doi.org/10.2991/iccse-17.2017.18
ID  - Bian2017/07
ER  -