Risk Assessment of Floor Water Inrush in Deep Mine Based on Grey System Theory
- DOI
- 10.2991/mining-14.2014.42How to use a DOI?
- Keywords
- deep mine; floor water inrush; Grey system theory; risk assessment
- Abstract
In the paper, the comprehensive research was composed of main controlling factors of floor water inrush in deep mine, method of floor water inrush risk assessment and risk assessment system, which was carried on three aspects of the deep seam mining floor water inrush factors analysis, the mathematical model establishment and system programming, based on the Grey system theory. Using the investigation, data assessment, statistical analysis and numerical analysis method, it got the influent factors of floor water inrush in deep mine; By the analytic hierarchy process (AHP), it determined the main controlling factors and their weights. It also determined the accuracy of the main controlling factors and verified their weights of these factors by the Grey relevance analysis. It set up deep mine’s floor water inrush risk assessment model through the establishment of membership and the membership function of each main controlling factors deal with information data, according to the Grey matter-element model. And it was tested by practical engineering samples to gain the reliability degree of the established model, which can provide guidance and basis for mining safety
- Copyright
- © 2014, 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 - Weitao Liu AU - Xiaofeng Pan AU - Huan Liu AU - Jianjun Shen PY - 2014/10 DA - 2014/10 TI - Risk Assessment of Floor Water Inrush in Deep Mine Based on Grey System Theory BT - Proceedings of the Taishan Academic Forum – Project on Mine Disaster Prevention and Control PB - Atlantis Press SP - 288 EP - 293 SN - 2352-5401 UR - https://doi.org/10.2991/mining-14.2014.42 DO - 10.2991/mining-14.2014.42 ID - Liu2014/10 ER -