煤矿安全2017，Vol.48Issue(8)：242-245,4.DOI:10.13347/j.cnki.mkaq.2017.08.066
基于矿工不安全行为的煤矿安全预测评价模型
Model of Coal Safety Prediction and Evaluation Based on Miners' Unsafe Behavior
摘要
Abstract
This paper conducts a study on the issue of human unsafe behavior and constructs miners' unsafe behavior indicators system from three aspects of design and use,management and behavioral mistakes.Combined with the expert consultation and the actual situation of coal mine,this paper tries to use the genetic algorithm to optimize neural network and constructs a coal mine safety prediction and evaluation model based on miners' unsafe behavior.Sample learning and empirical analysis is made based on real-time monitoring data collected from large-scale coal mines in Shandong,Henan and some other places.The results show that a short-term prediction results is consistent with the actual situation and able to predict the coal mine safety situation in advance.It is feasible to use genetic neural network algorithm to predict the overall safety of coal mine in real time and the feedback of results may provide decision support for managers for sure.关键词
行为失误/不安全行为/遗传神经网络/预测评价模型/决策支持Key words
behavioral mistake/unsafe behavior/genetic neural network/model of prediction and evaluation/decision support分类
矿业与冶金引用本文复制引用
李爽,刘海洋,杨勇..基于矿工不安全行为的煤矿安全预测评价模型[J].煤矿安全,2017,48(8):242-245,4.基金项目
国家自然科学基金资助项目(71573256) （71573256）
