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

DOI

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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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  - 10.2991/iccahe-16.2016.67
ID  - Gao2016/10
ER  -