基于线性规划算法的我国煤化工产业智能优化选址方法研究与应用

Research and application of intelligent optimization location method of China coal chemical industry based on linear programming algorithm

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.