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一个矿床有几种矿石类型时,或者矿床含有多种有用或有害成分时,如何从各个取样点的小样中确定适当的比例来组合成大样,其计算的工作量是十分巨大的,而且很难达到要求。作者们根据线性规划理论,建立了最优化配样计算的数学模型,并编制了计算程序,可以由电子计算机迅速计算出各个小样的比例,组合成代表性强的综合大样,使选矿试验的结果更接近将来的生产实际。
When a deposit has several types of ore or when the deposit contains a variety of useful or harmful components, how to determine the appropriate ratio from each sampling point to assemble a large sample, the computational workload is very large, and very Difficult to meet the requirements. According to the linear programming theory, the authors established the mathematical model of the optimal fitting calculation and compiled the calculation program, which can quickly calculate the proportion of each sample by the electronic computer to form a comprehensive large sample with strong representativeness so that the beneficiation test The result is closer to the actual production in the future.