Abstract

The mining of iron ore, an essential raw material for iron and steel industry, is of prime importance among all mining activities undertaken by any country. Therefore it is important that the iron ore mining should be environment-friendly and sustainable. Ripper Dozer combination is one of the most commonly used excavation methods in Iron ore mines of Goa because of the presence of soft and friable rock mass and also it can bring the mining project more productivity, accuracy, safety and the additional option of selective mining. Improper selection of ripper dozer and unscientific deployment can lead to high production cost. So, performance prediction is an important issue for successful ripper application which deals with exposed rock mass properties and ripper machine parameters. Ripper production prediction using multiple linear regression analysis (MLR) and artificial neural network (ANN) is performed to estimate ripper production in the lateritic rock formation.

中文翻译：

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铁矿砂岩开挖的裂土器产量预测

摘要

铁矿石是钢铁工业的重要原材料，在任何国家开展的所有采矿活动中都至关重要。因此，重要的是铁矿石开采应该是环境友好的和可持续的。松土推土机组合是果阿铁矿最常用的挖掘方法之一，因为存在松软易碎的岩体，它可以为采矿项目带来更高的生产率、准确性、安全性和选择性开采的附加选项。松土推土机选型不当，部署不科学，会导致生产成本高。因此，性能预测是裂土器成功应用的重要问题，裂土器处理暴露的岩体特性和裂土器机器参数。