Research on LEC Evaluation and Optimization of Coal Mine Accident Risk Based on BERT
In order to improve the accuracy and objectivity of coal mine accident safety evaluation,aiming at the current situation that the LEC evaluation method commonly used in coal mine safety risk as-sessment may be not objective and the L value evaluation in the evaluation process is too complicated,a method based on BERT pre-training model instead of manual scoring and optimizing the evaluation index of L value is proposed.The prediction model is obtained by training the model through the accident analysis of expert scoring.The prediction model is used to predict and score the data to be evaluated,and then the score of the possibility of accident occurrence is obtained by combining the optimized L value formula.The results show that the BERT model has a good prediction effect after training,and the comprehensive coinci-dence degree with the expert judgment index is as high as 92.09%.The improved L-value judgment formula integrates environmental object factors,construction operator factors and safety management factors,and can objectively reflect the possibility of potential risks in the judgment.This study provides a new idea and method for the risk assessment of operating conditions in the coal mine industry.
LEC evaluation methodBERT pre-training modelL value optimizationcoal mine safe-ty evaluation
NETL
NSTL
万方数据
维普
