动力煤选煤厂分级重选产品结构优化  

Product structure optimization for classified gravity separation in steam coal preparation plant

作　　者：李科[1] 朱云峰[2] 王章国[1] 李云飞[1] 桑凯[1] 孙磊 

机构地区：[1]中国矿业大学化工学院,江苏徐州221116 [2]兖州煤业股份有限公司选煤管理中心,山东兖州273500 [3]山东唐口煤业公司选煤厂,山东济宁272155

出　　处：《工矿自动化》2015年第6期35-39,共5页Journal Of Mine Automation

基　　金：国家自然科学基金资助项目(51304195)

摘　　要：通过分析多工艺动力煤选煤厂各分选系统,建立了产品结构优化模型;通过平移分配曲线,求得在不同分选密度下的产品结构公式;改变原煤的入洗方案,在不同的原煤入洗率情况下,预测各初级产品的产率和灰分,进而计算吨原煤经济效益;采用差分进化算法求解在取得最大经济效益时的各分选密度及入洗率,得到最优产品结构。应用结果表明,基于差分进化算法的动力煤选煤厂分级重选产品结构优化模型的计算结果符合实际情况。Each separation system of multi-process steam coal preparation plant was analyzed and an optimization model of product structure was established. By translating distribution curve, product structure formulas under different separation density were obtained. Productivity and ash of primary product were predicted under the condition of different coal washing rate of raw coal, then economic benefits of raw coal per ton was calculated. Separating density and washing rate were obtained at the maximum economic benefits by using differential evolution algorithm, so as to get the optimum product structure. The application show that result calculated by the product structure optimization model for classified gravity separation in steam coal preparation plant based on differential evolution algorithm can meet with the actual one.

关 键 词：动力煤选煤厂 分级重选 产品结构优化 差分进化算法 最大经济效益 

分 类 号：TD928.9[矿业工程—选矿]