摘要
依据统计数据和专家经验 ,应用层次分析法确定各影响因素对突出强度的贡献度权重 ,采用定性数据定量化方法确定各因素的隶属度 ,采用二级模糊综合评判方法和“加权平均型”评判数学模型 ,建立了煤与瓦斯突出强度预测模糊综合评判方法 ,实现了煤与瓦斯突出强度的定量预测。
Based on a great many statistical data, the present paper has analyzed the complicated relations between the coal and gas outburst scales and various factors, such as mining depth, tunnel types, geological structures, outburst signs, coal seam thickness and the ways of exploitation, thus finding the general regularities of the outburst scales. As is known, once the hierarchy analysis model of coal and gas outburst scales is established and the weight of each factor contribution grade for the outburst scales has been accounted for through the hierarchy analysis process. As the membership grades are subordinated to the outburst scales: large scales (scales ≥500 T), medium-sized (scales between 100 T to 500 T) and small ones (scales <100 T) are determined by the methods of the quantitative analysis on the qualitative data, a two-stage fuzzy synthesis evaluation method and the average weight mathematical model, i.e. the method for predicating coal and gas outburst scales, can be set up so that the validation for the quantitative predication on coal and gas outburst scales in Limin mine and Hongshandian mine of Lianshao Coal (Group) Co. can be actualized. The methods are expediently developed into computer managing system and applied to daily technique management in coalmines of coal and gas outburst. The results of trial application in this research have lent a highly important means for preventing coal and gas outbursts.
出处
《安全与环境学报》
CAS
CSCD
2004年第2期54-56,共3页
Journal of Safety and Environment
关键词
矿山安全
煤与瓦斯突出
模糊综合评判
强度预测
层次分析
隶属度
mine safety
coal and gas outburst
fuzzy synthesis evaluation
scales predication
hierarchy analysis
membership grade
