西安科技大学学报2011，Vol.31Issue(6)：780-785,6.
BP神经网络在煤矿本质安全评价模型中的应用
Application of BP neural networks to coal mine intrinsic safety assessment model
高晓旭 1董丁稳 2杨日丽2
作者信息
- 1. 西安科技大学能源学院,陕西西安 710054
- 2. 西部开采及灾害防治重点实验室,陕西西安 710054
- 折叠
摘要
Abstract
Coal mines are man-machine-environment systems with complex structure. Based on the theory of man-machine-environment-management, relevant elements of coal mines are studied which leading to feasible principles for application of the Intrinsic safety concept to coal mines. Based on the theory of human behavior, a Man Assessment Index Model of Intrinsic safety is founded; Through ergonomics analysis and reliability analysis, Machine Assessment Index Model is founded; The environment of coal mines, being classified as working environment and geological environment, the Environment Assessment Index Model was founded; Based on the principles of occupation health and safety management and the System of National Industrial Safety Management, The Management Assessment Index Model is founded. As the system of man-machine-environment-management being thoroughly studied, an overall Evaluation Index System of coal mines is put forward. With the theory of Back Propagation Neural Networks, the Assessment Model is established. The research on the sustainable safety in the certain Coal Mine of Shaanxi Province leads to the establishment of the Intrinsic Safety Management System, and the evaluation model verification. The concept of Intrinsic Safety in coal mines safety management which will promote the improvement of safety management and safety control standard in coal mines to build a safer and more productive industry.关键词
人-机-环境-管理/本质安全/BP神经网络Key words
man-machine-environment-management/ intrinsic safety/ back propagation neural networks分类
矿业与冶金引用本文复制引用
高晓旭,董丁稳,杨日丽..BP神经网络在煤矿本质安全评价模型中的应用[J].西安科技大学学报,2011,31(6):780-785,6.
