China Safety Science Journal ›› 2025, Vol. 35 ›› Issue (4): 165-172.doi: 10.16265/j.cnki.issn1003-3033.2025.04.0474

• Safety engineering technology • Previous Articles     Next Articles

Downward layered mining based on G1-RF combined empowerment cloud model evaluation of filling stability

HE Yuzhen1(), WANG Wenjie1, CHEN Zhongjie2   

  1. 1 School of Resources and Environmental Engineering, Wuhan University of Science and Technology, Wuhan Hubei 430081, China
    2 No.2 Mine Area, Jinchuan Group Nickel and Cobalt Co., Ltd., Jinchang Gansu 737100, China
  • Received:2024-11-21 Revised:2025-02-13 Online:2025-04-28 Published:2025-10-28

Abstract:

In order to solve the index ambiguity problem in the risk assessment process of downward layered mining filling body stability, the filling body stability assessment model was constructed. Firstly, 12 factors affecting the stability of the filling body, such as cohesion, exposed area, stress ratio, etc., were selected as risk evaluation indicators to establish the evaluation index system. Secondly, the cloud model theory was introduced to calculate the cloud digital characteristics of each indicator, and the comprehensive weight was obtained by using G1-RF, and a comprehensive evaluation model of the stability of layered mining filler was constructed based on the G1-RF combined empowerment cloud model to determine the stability risk level of the mine filler. Finally, the evaluation method was applied to the stability analysis of the mine filler in the actual project. The results show that the comprehensive evaluation method can effectively solve the problems of indicator ambiguity and weak relevance in the process of risk assessment, more accurately and quickly evaluate the stability of the filling body, and realize the visualization of the risk level.

Key words: order relationship analysis method (G1), random forest(RF), portfolio empowerment, cloud model, downward layered mining, stability of the filling body

CLC Number: