232 / 2018-05-05 12:44:43
Prediction method study of Chinese coal mine accidents using ARIMA model
Safety,Coal mine accidents,Prediction,ARIMA model
Draft Accepted
Jian Liu / University of Science and Technology Beijing
Jinxin Gao / University of Science and Technology Beijing
Jing Han / University of Science and Technology Beijing
Liu Qing / The University of Science and Technology Beijing
jingjing Wang / University of Science and Technology Beijing
Ziming Song / University of Science and Technology Beijing
In China, coal mine is one of economic sectors with high incidence of accidents, where workers can suffer injuries and death. Utilizing a set of data composed of 10,442 coal mine accidents investigated in the decade 2006-2015 in China, the paper studied a kind of method for forecasting the trend of coal mine accidents. To carry out the study, Autoregressive Integrated Moving Average Model (ARIMA) had been applied. And the predictions have been performed using EViews software. As a result, we set up three ARIMA models for the trend. From this study, the prediction method is obtained which can help managers to forecast the coal mine accident trend and make the right judgment to reduce the rate of accident occurrence, injuries and death.
Important Date
  • Conference Date

    Oct 22

    2018

    to

    Oct 24

    2018

  • May 31 2018

    Abstract Submission Deadline

  • Jul 05 2018

    Draft paper submission deadline

  • Aug 10 2018

    Draft Paper Acceptance Notification

  • Oct 24 2018

    Registration deadline

Sponsored By
University of Science and Technology Beijing
McGill University
China University of Mining and Technology (Beijing)
Henan Polytechnic University
Notheastern University
Chongqing University
China University of Mining and Technology
Laurentian University
University of Wollongong
Liaoning Technical University
Xi’an University of Science and Technology
North China University of Technology
Jiangxi University of Science and Technology
Heilongjiang University of Science and Technology
Supported By
中国职业安全健康协会
中国安全生产科学研究院
煤炭信息研究院
中安安全工程研究院
International Journal of Mining Science and Technology
Safety Science
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