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作 者:赵汀[1] 刘超[1] 周凤英[1] 张艳[1] 闫强[1] 闫睿哲 赵海云 ZHAO Ting;LIU Chao;ZHOU Fengying;ZHANG Yan;YAN Qiang;YAN Ruizhe;ZHAO Haiyun(MNR Key Laboratory of Metallogeny and Mineral Resource Assessment,Institute of Mineral Resources,Chinese Academy of Geological Sciences,Beijing 100037,China;School of Computer Science and Technology,Donghua University,Shanghai 201620,China;Beijing Saving Water Office,Beijing 100038,China)
机构地区:[1]中国地质科学院矿产资源研究所自然资源部成矿作用与资源评价重点实验室,北京100037 [2]东华大学计算机科学与技术学院,上海201620 [3]北京市节约用水办公室,北京100038
出 处:《中国矿业》2021年第11期56-61,共6页China Mining Magazine
基 金:地质矿产调查评价项目“矿产资源国情调查数据集成与动态更新”资助(编号:DD20190613);国家自然科学基金基础科学中心项目“数字经济时代的资源环境管理理论与应用”资助(编号:72088101);“全国特种煤资源综合评价与信息系统建设”项目资助(编号:DD20160189);“国内外三稀资源信息集成”项目资助(编号:1212011220807);“中国能源与矿产资源安全动态评价与决策支持系统建设”项目资助(编号:121201103000150014)。
摘 要:煤化工产业是一个高度依赖煤炭资源和水资源的资源型产业,其选址布局的优劣将很大程度上决定其后运营的成本和效益。在煤化工用煤特征研究基础上,提出了一套基于多指标线性规划算法的煤化工产业智能优化选址方法,通过分析满足煤化工工艺要求的煤质关键指标,建立一套含煤质、水资源、运输、环境等多参数约束方程和目标函数的智能优化选址模型,基于我国第一轮矿产资源国情调查煤炭成果数据库和大量企业调研,采集矿山煤质参数、运输途径、水资源、环保等多目标参数,融入GIS智能优化模型软件,通过不断迭代优选煤化工选厂位置,循环试错发现生产所需要素配置最优化布局方案。以准东、伊利、五彩湾三个煤炭富集区为研究对象,运用此方法进行智能选址评价获得最优化方案。The coal chemical industry is a resource-based industry that is highly dependent on coal and water resources.The pros and cons of its location and layout will largely determine the costs and benefits of subsequent operations.Based on the study of coal characteristics of coal chemical industry,a set of intelligent optimization site selection methods for coal chemical industry based on multi-index linear programming algorithm is proposed.By analyzing the key indicators of coal quality that meet the requirements of coal chemical industry,a set of coal quality,the intelligent optimization site selection model of multi-parameter constraint equations and objective functions for water resources,transportation,environment,etc.,based on the coal results database of China s first round of national survey of mineral resources and a large number of enterprise surveys,collecting mine coal quality parameters,transportation routes,water resources,multi-objective parameters such as environmental protection are integrated into the intelligent optimization model software,and the location of the coal chemical preparation plant is optimized through continuous iteration,and the optimal layout plan for the configuration of the elements required for production is found through trial and error.Taking the three coal enrichment areas of Zhundong,Yili and Wucai Bay as the research objects,this method is used to conduct intelligent site selection evaluation to obtain the optimal plan.
分 类 号:TQ53[化学工程—煤化学工程] F407.21[经济管理—产业经济]
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