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首页> 外文会议>International Conference on Intelligent Systems in Production Engineering and Maintenance >Application of the Discrete Element Method (DEM) for Simulation of the Ore Flow Inside the Shaft Ore Bunker in the Underground Copper Ore Mine
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Application of the Discrete Element Method (DEM) for Simulation of the Ore Flow Inside the Shaft Ore Bunker in the Underground Copper Ore Mine

机译：离散元法（DEM）在地下铜矿矿井中矿井流动模拟的应用

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Identification of the stream of transported mine output has a great importance for the effectiveness of ore processing and for the control of mining operations. The above fact entails the growing importance of various types of scanners and on-line sensors which serve to determine the measurable parameters of a random sample and to use this information as a basis for the classification of the whole stream of mine output. An alternative method consists in effective processing of large data sets (the "big data" technology), i.e. in combining the previously generated information on the deposit (geological data), information on the locations of currently operated mine fields (mining data), and information on the flow of the stream of mined ore in the underground transportation system. The flow of mine ore is modeled with the use of simulation methods, whose reliability largely depends on how accurately a particular transportation system and its operation are reproduced in the model. Particular attention must be paid to accurate modeling of ore behavior in the nodes of the transportation system, i.e. in the bunkers. The bunkers, apart from serving a retaining function, also effect the averaging of ore parameters, as the portions of mined material subsequently added to the bunker change their position and mix. Modeling the behavior of mined ore inside the bunker is the object of tests performed with the use of Discrete Element Method (DEM). This paper includes the description of DEM and the method used for parameterizing the mined ore data (granulation, ore stream efficiency) and the bunker data (geometry, discharge technology), which are required to build a DEM model of an ore bunker following the design of an actual large-capacity shaft station bunker located in an underground copper ore mine.
机译：识别运输矿井输出流具有重要的重视矿石加工的有效性和控制采矿业务的控制。上述事实需要各种类型的扫描仪和在线传感器的重要性，这些扫描仪和在线传感器用于确定随机样本的可测量参数，并将这些信息作为整个矿井输出流分类的基础。替代方法包括有效处理大数据集（“大数据”技术），即在组合先前生成的关于存款（地质数据）的信息，关于当前操作的矿地（挖掘数据）的位置的信息有关地下运输系统中矿山流溪流流动的信息。矿井流动采用仿真方法建模，其可靠性主要取决于特定运输系统的准确性及其操作在模型中再现。必须特别注意，在运输系统的节点中准确地建模矿石行为，即在掩体中。除了服务保持功能外，碉堡还效果源于矿石参数的平均，因为随后加入掩体的矿物材料的一部分改变它们的位置并混合。建模煤层内部矿石的行为是使用离散元素方法（DEM）进行的测试对象。本文包括DEM的描述和用于参数化开采的矿石数据（造粒，矿石流效率）和烧结数据（几何，放电技术）的方法，这是在设计之后构建矿石掩体的DEM模型所必需的位于地下铜矿矿井的实际大容量轴站碉堡。

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