Design of risk prediction and early warning system of coal mine enterprises based on GIS

PENG Yujing; LIU Jian; GAO Tong; LIAO Lingsong; GAO Xiaofeng

doi:10.13272/j.issn.1671-251x.2017110031

Gong-kuang zidonghua (Jun 2018)

Design of risk prediction and early warning system of coal mine enterprises based on GIS

PENG Yujing,
LIU Jian,
GAO Tong,
LIAO Lingsong,
GAO Xiaofeng

Affiliations

PENG Yujing: 1.Communication and Information Center, State Administration of Work Safety, Beijing 100013, China；2.School of Resources and Safety Engineering, China University of Mining and Technology(Beijing), Beijing 100083, China
LIU Jian: 1.Communication and Information Center, State Administration of Work Safety, Beijing 100013, China；2.School of Resources and Safety Engineering, China University of Mining and Technology(Beijing), Beijing 100083, China
GAO Tong
LIAO Lingsong: 1.Communication and Information Center, State Administration of Work Safety, Beijing 100013, China；2.School of Resources and Safety Engineering, China University of Mining and Technology(Beijing), Beijing 100083, China
GAO Xiaofeng: 1.Communication and Information Center, State Administration of Work Safety, Beijing 100013, China；2.School of Resources and Safety Engineering, China University of Mining and Technology(Beijing), Beijing 100083, China

DOI: https://doi.org/10.13272/j.issn.1671-251x.2017110031
Journal volume & issue: Vol. 44, no. 6
pp. 96 – 100

Abstract

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In order to master risk information of coal mine timely and predict and warn risks effectively, a risk prediction and early warning system of coal mine enterprises based on GIS was designed. The system uses GIS information collection platform to collect and process hazard information effectively; uses risk early warning model to do comprehensive prediction analysis, including data mining analysis and algorithm operation analysis for collected information, and draws conclusion of the risk early warning; and uses GIS analysis and presentation platform to comprehensively visualize early warning results, so as to provide aid decision support for mine safety production and scheduling. The system can realize accurate control for risk management of coal mine enterprises.

Published in Gong-kuang zidonghua

ISSN: 1671-251X (Print)
Publisher: Editorial Department of Industry and Mine Automation
Country of publisher: China
LCC subjects: Technology: Mining engineering. Metallurgy
Website: http://www.gkzdh.cn/en.htm

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Abstract

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