煤炭微生物浸出脱硫效果的灰色预测  

Grey-Model Forecast of Coal Desulphurization Efficiency with Microorganism Leaching

作　　者：张东晨[1] 张明旭[1] 陈清如[2] 

机构地区：[1]安徽理工大学材料科学与工程系,安徽淮南232001 [2]中国矿业大学化工学院,江苏徐州221116

出　　处：《中国矿业大学学报》2007年第6期764-767,共4页Journal of China University of Mining & Technology

基　　金：国家自然科学基金项目(50344037);高等学校博士学科点专项科研基金项目(20020290006)

摘　　要：生物浸出法是煤炭微生物脱硫的一种重要方法.利用煤系与非煤系氧化亚铁硫杆菌生物浸出脱除煤炭中黄铁矿硫,在试验基础上,根据灰色系统理论,建立了煤炭微生物浸出脱硫效果的GM(1,1)灰色预测模型.预测模型经后验差方法检验,精度为一级.实际煤炭浸出脱硫率与预测模型计算值相比较,短期预测虽有一定误差,但长期预测结果具有较好的一致性.研究表明,灰色预测法是对煤炭微生物脱硫效果预测的一种有效方法,灰色模型GM(1,1)适合于煤炭生物浸出脱硫效果的长期预测.Bioleaching is an important method of coal microorganism desulfurization. The coalserial and non-coal-serial Thiobacillus ferrooxidans were utilized to bioleach the pyrite sulfur from coal. Based on the experimental result and grey system theory, a grey forecast model for microorganism leaching pyrite from coal was proposed. The forecast accuracy of GM（1,1） is the highest through checkout. Compared with the actual coal leaching desulfurization rates, the calculated desulfurization rates using the grey model have some error for short-term forecast, but coincident for long-term forecast. The results show that the gray forecast method is a valid method to estimate coal microorganism desulfurization efficiency and GM（1,1） may be used to predict coal bio-leaching desulfurization efficiency for a long period.

关 键 词：煤炭 脱硫 氧化亚铁硫杆菌 灰色模型 预测 

分 类 号：TD925.5[矿业工程—选矿]