基于未确知测度模型的硫化矿山炸药自爆危险性评价新方法  

Risk assessment on self-blasting of explosive in sulfide mine based on uncertainty measurement model

作　　者：罗凯[1,2] 阳富强[3] 吴超[1] 

机构地区：[1]中南大学资源与安全工程学院,湖南长沙410083 [2]江西理工大学建筑与测绘学院,江西赣州341000 [3]福州大学环境与资源学院,福建福州350108

出　　处：《中南大学学报（自然科学版）》2014年第8期2817-2823,共7页Journal of Central South University:Science and Technology

基　　金：国家自然科学基金资助项目(51304051);江西省教育厅资助项目(2013GJJ13404);江西省自然科学基金资助项目(20132BAB203021);福建省自然科学基金资助项目(2012J05088);福州大学科技发展基金资助项目(2013-XQ-18)

摘　　要：基于未确知测度理论,建立硫化矿山开采过程中炸药自爆的危险性评价模型。以硫化矿石中的水溶性Fe2++Fe3+含量、硫化矿石的含水量、硫化矿石水分的pH、硫化矿石中黄铁矿的含量、采场的环境温度、炮孔温度、安全装药技术、炸药类型、装药时间、采场的通风条件,以及现场管理水平等11项因子作为判别指标。基于实测数据建立各个指标的未确知测度函数,利用信息熵理论计算出各对应指标的权重,并依据置信度识别准则进行等级划分。将该方法运用于国内4座典型高硫矿山的炸药自爆危险性评价中。研究结果表明:所得评价结果与矿山实际情况基本相符,并解决了评价中的某些不确定性问题,表明这种新方法可以有效地评价硫化矿山生产过程中炸药自爆的危险性。Based on uncertainty measurement theory, self-blasting of explosive assessment model in sulfide mines was established. 11 main factors that influence self-blasting of explosive were taken into account, including water soluble Fe2＋＋Fe3＋, water content, water pH, pyrite content of ores, environmental temperature in mining stope, temperature in blasting hole, explosive-filling technology, explosive types, explosive-filling time, ventilation conditions, and locale management level. The uncertainty measurement function was obtained based on the in-situ data; entropy theory was used to calculate the index weight of all indexes, and the assessment results were obtained by using the rules of credible recognition criteria. The self-blasting of explosive risk in four typical high-sulfur mines was evaluated. The results show that assessment results are consistent with the actual instances; this new risk assessment method can solve some uncertainty problems in self-blasting of explosive risk assessment on sulfide mines, and can be usefully applied to evaluate the self-blasting of explosive risk quantitatively in any place containing sulfide ores.

关 键 词：未确知测度模型 硫化矿山 炸药自爆 危险性评价 

分 类 号：TD75[矿业工程—矿井通风与安全]