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Decision making in mining operations -inaccurate timely data, accurate tardy data

机译:在采矿操作中的决策 - 及时数据,准确的迟缓数据

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Iron ore shipments need to be within tolerance of a target composition, not only in iron, but also silica, alumina and phosphorus. Ships are loaded from stockpiles, built from trainloads from the mine. Mine faces are dug each day to bring the smoothed grade back to target. This decision uses assays of material sampled when the blast holes are drilled. The assays have large errors. Assays at the port are more accurate, but too late for the selection decision. Our system uses feedback from port train assays to adjust blast hole assays for material not yet mined. This has improved the daily selection of mining faces, and thus the quality and value of shipped ore. Further improvement is discussed. The model was developed in close cooperation with users, enabling the computer to do what it is good at, releasing humans to spend more time doing what they are good at.
机译:铁矿石出货量需要在含有目标组合物的耐受性范围内,而不仅仅是铁,而且是二氧化硅,氧化铝和磷。船舶从库存建造的库存,从矿井的训练舱内建造。矿面每天都会挖出平滑等级返回目标。该决策使用在钻出喷砂孔时采样的材料的测定。测定有很大的错误。港口的测定更准确,但选择决定太迟了。我们的系统使用港口列车测定的反馈来调整尚未开采的材料的喷砂孔测定。这改善了采矿面的日常选择,从而提高了发货矿石的质量和价值。讨论了进一步的改进。该模型是与用户密切合作开发的,使计算机能够做到这一点,释放人类花费更多时间做他们擅长的事情。

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