| 基于蚁群算法的煤矿矿井水处理厂址优化配置 |
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| 引用本文： | 王心义,李占五,夏大平,刘白宙,王兴富,张占全. 基于蚁群算法的煤矿矿井水处理厂址优化配置[J]. 环境工程学报, 2010, 4(12): 2897-2900 |
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| 作者姓名： | 王心义 李占五 夏大平 刘白宙 王兴富 张占全 |
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| 作者单位： | 河南理工大学资源环境学院，焦作 454000,郑州煤炭工业集团公司超化煤矿，新密 452300,河南理工大学能源科学与工程学院，焦作 454000,焦作煤业集团公司，焦作 454100,郑州煤炭工业集团公司超化煤矿，新密 452300,焦作煤业集团公司，焦作 454100 |
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| 基金项目： | 国家自然科学基金重点项目（40638040）;国家自然科学基金面上项目（40972164）；“十一五”国家科技支撑计划重点项目（2007BAK24B04） |
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| 摘 要： | 针对焦作矿区矿井水处理厂址选择问题,根据焦作矿区中马矿、演马矿、九里山矿三矿井的涌水量、地理条件、人口分布和工农业生产布局等特点,以煤矿矿井水处理费用最小为目标函数,采用蚁群算法模型对煤矿矿井水处理厂址进行优化配置,保证在中马矿、演马矿、九里山矿所围区域内建立的矿井水处理厂的建设费用和运行成本最低。
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| 关 键 词： | 煤矿矿井水 水处理厂 最小费用 蚁群算法 |
Optimal allocation of coal mine water treatment plants based on ant colony algorithm |
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| Wang Xinyi,Li Zhanwu,Xia Daping,Liu Baizhou,Wang Xingfu and Zhang Zhanquan. Optimal allocation of coal mine water treatment plants based on ant colony algorithm[J]. Techniques and Equipment for Environmental Pollution Control, 2010, 4(12): 2897-2900 |
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| Authors: | Wang Xinyi Li Zhanwu Xia Daping Liu Baizhou Wang Xingfu Zhang Zhanquan |
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| Affiliation: | Institute of Resources and Environment, Henan Polytechnic University, Jiaozuo 454000,Chin,Chaohua Mine, Zhengzhou Coal Industrial Group Corporation Ltd., Xinmi 452300,China,School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454000,China,Jiaozuo Coal Group Corporation Ltd., Jiaozuo 454100,China,Chaohua Mine, Zhengzhou Coal Industrial Group Corporation Ltd., Xinmi 452300,China and Jiaozuo Coal Group Corporation Ltd., Jiaozuo 454100,China |
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| Abstract: | Directing to the problem of water treatment plant site selection in Jiaozuo mining area, according to the characteristics which contains mine water quantity, geographical conditions, population distribution, layout of industry and agriculture etc in Yanma mine, Zhongma mine and Jiulishan mine, objective function is established with minimum water processing cost and the sites of mine water purification plant are optimized by ant colony algorithm method. The results indicate that the costs of construction and operation are the lowest. |
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