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Spatial distribution of coal quality parameters with respect to production requirements: an adaptive neuro-fuzzy application for the Can coal field (Turkey)

机译:相对于生产要求的煤质量参数的空间分布:Can煤田(土耳其)的自适应神经模糊应用

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摘要

Determination of spatial distribution of coal quality parameters can ease management of the operations in coal mines. In this study, in order to provide guidance for the excavations, Can coal mine production map showing regions having suitable coal parameters as feed coals for a power plant and also for public sale was prepared using adaptive neuro-fuzzy inference system tool. Statistical relationships among calorific value, ash content and sulphur content were evaluated using the data obtained from boreholes opened in the mine between 2006 and 2009. According to the obtained production map, coals of Can mine are not suitable for public sale because of their high sulphur content and hence they should be blended with low sulphur coals to meet the requirements, before sale.
机译:确定煤炭质量参数的空间分布可以简化煤矿的运营管理。在这项研究中,为了为挖掘提供指导,使用自适应神经模糊推理系统工具制作了Can煤矿生产地图,该地图显示了具有合适煤参数的区域,作为发电厂和公开销售的供煤。利用2006年至2009年从该矿井眼中获取的数据评估了热值,灰分和硫含量之间的统计关系。根据获得的生产图,Can矿井的煤由于含硫量高而不适合公开销售。含量,因此在销售前应将其与低硫煤混合以满足要求。

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