Proceedings of the 2016 5th International Conference on Civil, Architectural and Hydraulic Engineering (ICCAHE 2016)

Study on early warning model of construction safety accident based on support vector machine

Authors
H.Q. Gao
Corresponding Author
H.Q. Gao
Available Online October 2016.
DOI
https://doi.org/10.2991/iccahe-16.2016.67How to use a DOI?
Keywords
Construction safety; cause analysis; early warning system; support vector machine
Abstract

In view of the problem that the occurrence rate of construction safety accidents is higher, questionnaires, on-site interviews and other research methods had been applied to analyze the present situation of construction safety production management in our country. Summary up the main factors that lead to the occurrence of construction safety accidents, like human factor, material factor, environment factor and management factor. Construction safety accident early warning model had been established based on support vector machine. Then analyze the practical feasibility of early warning model. It not only provides a new method for the accurate early warning of safety accidents, but also provides a theoretical support for the prevention of safety accidents.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 5th International Conference on Civil, Architectural and Hydraulic Engineering (ICCAHE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-250-3
ISSN
2352-5401
DOI
https://doi.org/10.2991/iccahe-16.2016.67How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - H.Q. Gao
PY  - 2016/10
DA  - 2016/10
TI  - Study on early warning model of construction safety accident based on support vector machine
BT  - Proceedings of the 2016 5th International Conference on Civil, Architectural and Hydraulic Engineering (ICCAHE 2016)
PB  - Atlantis Press
SP  - 378
EP  - 386
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccahe-16.2016.67
DO  - https://doi.org/10.2991/iccahe-16.2016.67
ID  - Gao2016/10
ER  -