Roof Falling and Rib Spalling Accidents Forecasting and Evaluating Based on Bayesian Network in Metal Mine
Huang Jun · Nonferrous Metals · 2011
The accidents by roof falling and rib spalling did a great deal of economic loss with some casualties,which make a strong impact on the normal production safety.These accidents are uncertainty and probabilities,which affected by a variety of control factors.Cope with this problem,a forecasting and evaluation model is used to forecast the accidents by roof falling and rib spalling is built based on the theory of Bayesian network in this paper.Applications in practical engineering have shown that this forecasting and evaluation model has a powerful inferring ability,and is appropriate to judge and reason the uncertainty of knowledge and information.This model can forecast the probability of accidents,and evaluate the importance of the basic events.It provides an scientific proof for prevention and safety management on the accidents by roof falling and rib spalling in metal mining.