张桂华;戴剑勇;
ZHANG Gui-hua,DAI Jian-yong(School of Architectural Engineering,Resources and Environment,Nanhua University,Hengyang 421001,Hunan,China)

• 1:南华大学建筑工程与资源环境学院
• 2:南华大学建筑工程与资源环境学院 湖南衡阳421001
• 3:湖南衡阳421001

摘要(Abstract)：

矿山开采调度系统主要解决不同平台开采的穿孔爆破技术经济参数优化问题。本文以雪峰水泥原料矿山为例,运用自适应模糊推理系统方法构造露天矿山开采调度系统模型,用并行遗传算法解决了不确定环境条件下的复杂矿山开采调度系统模型的优化问题,取得了较好的经济效益。这不仅为生产调度系统的在线优化问题提供了新的思路,而且为穿孔爆破参数的优化提供了新的方法,对促进矿山生产系统的自动化、信息化、智能化、集约化具有重要的参考价值。
Mining Scheduling System model is mainly used for the optimization of drilling-blasting technical and economic parameters of different platforms.By taking Xuefeng cement material quarry as an example,this paper constructed strip Mining Scheduling System model with Adaptive Network-based Fuzzy Inference System,and solved optimization problem of complicated quarry Mining Scheduling System under uncertainty by Parallel Genetic Algorithms.The application of this system brought good economic benefit.The research not only provides new idea for on-line optimization problem of Mining Scheduling System,but also provides theory for optimizing drilling-blasting parameter,and furthermore,provides important reference to the automatization,informazation,intelligentization and intergration of quarry production system.

关键词(KeyWords)： 自适应模糊推理系统(ANFIS);并行遗传算法(PGA);开采调度系统(MSS)
Adaptive Network-based Fuzzy Inference System(ANFIS);Parallel Genetic Algorithms(PGA);Mining Scheduling System(MSS)

Abstract:

Keywords:

基金项目(Foundation):

作者(Authors): 张桂华;戴剑勇;
ZHANG Gui-hua,DAI Jian-yong(School of Architectural Engineering,Resources and Environment,Nanhua University,Hengyang 421001,Hunan,China)

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