硫化矿床开采中炸药自爆危险性的云模型分析  

Analysis of Cloud Model of Explosive Self-detonation Hazard during Exploitation of Sulfide Deposits

作　　者：阳富强[1] 赖勇 李伟 Yang Fuqiang;Lai Yong;Li Wei(College of Environment and Resources,Fuzhou University,Fuzhou 350116,China)

机构地区：[1]福州大学环境与资源学院,福建福州350116

出　　处：《金属矿山》2018年第9期176-180,共5页Metal Mine

基　　金：国家自然科学基金项目(编号:51741402);福建省自然科学基金项目(编号:2016J01224)

摘　　要：为了科学判定硫化矿山开采中炸药自爆危险性的等级,选取水溶性铁离子含量、硫化矿石的含水量、黄铁矿的含量、矿石水分的p H、采场的环境温度、炮孔温度、炸药类型、装药时间等影响因素,建立基于云模型的炸药自爆危险性评价模型。将硫化矿山炸药自爆测定指标与分级标准转化为正态云分级标准,采用熵权法对各指标的实测值进行权重计算;以模糊子集B的最大隶属度原则为依据,判定各矿山的炸药自爆危险性等级。利用国内4个硫化矿山的实际生产条件对该模型进行可行性检验,所得的分类结果与矿山实际生产情况相符。该模型能够提高硫化矿山自爆危险性等级划分的准确性,并为指导硫化矿山炸药自爆的防治工作提供了一种新方法。In order to scientifically determine the explosives＇ risk level in exploration of sulphide mines,and taking the water-soluble iron ion content,the water content of the sulfide ore,the content of the pyrite,the p H of the ore moisture,the temperature of the stope environment,the blasthole temperature,the type of explosives,and time to install explosives as factors,the explosive risk assessment model for explosives based on the cloud model was established. The indicators and grading standards for self-detonation of sulphide dynamite explosives were converted to the normal cloud grading standards. The entropy weight method was used to calculate the weight of the measured value for each indicator. Based on the principle of maximum membership degree of fuzzy subset B,the explosive hazard rating of each mine was determined. The feasibility of the model was tested by using the actual production conditions of four sulfide mines in China,and the classification results obtained were in accordance with the actual production of the mine. The model can improve the accuracy of the classification at the risk of self-detonation in sulphide mines,and provides a new method for guiding the prevention and control of explosions in sulphide mines.

关 键 词：硫化矿山 炸药自爆 云模型 熵权法 

分 类 号：TD75[矿业工程—矿井通风与安全]