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金属矿山 ›› 2008, Vol. 38 ›› Issue (11): 144-147.

• 安全与环保 • 上一篇    下一篇

矿井防尘管网多目标优化研究

侯晓东1,2,蒋仲安1,2   

  1. 1.北京科技大学;2.教育部金属矿山高效开采与安全重点实验室
  • 收稿日期:2008-09-17 出版日期:2008-11-15 发布日期:2011-07-12
  • 基金资助:

    北京市教育委员会共建项目建设计划项目(编号:XK 100080432)。

Multi-Objective Optimization of Water Supply Network for Dust-proofing in Mines

Hou Xiaodong1, 2,Jiang Zhongan1, 2   

  1. 1.University of Science and Technology Beijing;2.State Key Laboratory of High-Efficient Mining and Safety of Metal Mines of Ministry of Education
  • Received:2008-09-17 Online:2008-11-15 Published:2011-07-12

摘要: 为解决多水源矿井防尘供水管网优化设计问题,定义节点富余水头和管网恢复力评价管网的可靠性,建立基于经济性和可靠性考虑的多目标防尘管网优化数学模型,应用改进遗传算法求解模型。以开滦集团赵各庄矿防尘管网系统为例,根据最高时和平均时多工况用水量进行管网优化设计,验证该方法的有效性。

关键词: 防尘管网, 多水源, 可靠性, 多目标优化, 改进遗传算法, 多工况

Abstract: To realize an optimized design of the multi-source water supply network for dust-proofing in mines, the reliability of network was evaluated and defined as surplus node head and network resilience. A multi-objective optimization model for the water supply network was set up based on both economic and reliability analysis and an improved genetic algorithm (IGA) was proposed for solving the model. With the water supply network system of Zhaogezhuang mine in Kailuan Group as the instance, the network optimization was made based on the highest and the average water consumption in multiple working modes, verifying the validity of this method.

Key words: Water supply network for dust-proofing, Multiple water sources, Reliability, Multi-objective optimization, Improved genetic algorithms, Multiple working modes