Evaluation of Thermal Environment in Mine Based on Support Vector Machines

Author

Wang Zhijun ; Gao Jianliang ; Cheng Lei

Author_Institution

Sch. of Safety Sci. & Eng., Henan Polytech. Univ., Jiaozuo, China

fYear

2011

fDate

25-27 April 2011

Firstpage

514

Lastpage

517

Abstract

Considering shortage of data and many complicated influence factors about heat harm in mine, an estimation model of thermal environment in mine based on support vector machine is put forward in this paper. Theory of support vector machine regression is analyzed. The influence factors about heat harm in mine are summarized. Four main influence factors are proposed as evaluation indexes of thermal environment. Learning samples are constructed on the basis of practical data from some mines in China. Leave one out cross validation shows accuracy of the estimation method. Experiment shows that the method is highly operational with high accuracy.

Keywords

learning (artificial intelligence); mining; occupational health; occupational safety; regression analysis; support vector machines; China; estimation model; evaluation index; heat harm; learning samples; mine; support vector machine regression analysis; thermal environment; Heating; Humidity; Orbits; Support vector machines; Temperature; Temperature measurement; Temperature sensors; evaluation; heat harm; support vector machine; thermal environment;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Computing (ICIC), 2011 Fourth International Conference on

Conference_Location

Phuket Island

Print_ISBN

978-1-61284-688-0

Type

conf

DOI

10.1109/ICIC.2011.62

Filename

5954618