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本文提出了建立矿床模型的特征标识法。将矿体边界线送入计算机后,成了一系列离散的点,矿石和岩石关于这些点的方位关系就难以确定,从而给建立矿床模型计算模块中矿石的面积带来了障碍。特征标识法就是在不人工设置矿岩关于边界点关系的情况下,由计算机自动确定矿岩关系,同时自动辨别纯矿石块和纯岩石块,大大提高了处理速度和计算精度。用特征标识法建立的Dpost系统自动化程度高,节省人力,己成功地用在几个矿山的建模实践中。
In this paper, a method of feature identification for establishing a deposit model is proposed. After the ore body boundary line is fed into the computer, it becomes a series of discrete points. The orientation relation between ore and rock about these points is difficult to be determined, which hinders the establishment of ore model in the model. The feature identification method is to automatically determine the relationship between the rock and mineral by the computer without automatically setting the relationship between the ore rock and the boundary point, and automatically distinguish between the pure ore block and the pure rock block, thereby greatly improving the processing speed and accuracy. The Dpost system, built using the signature method, is highly automated and labor-saving and has been successfully used in the modeling practices of several mines.