ArticleName |
Two options for calculating the technological balance
of processing plants |

ArticleAuthorData |
Ural State Mining University (Ekaterinburg, Russia)
**Kozin V. Z.**, Dean, Doctor of Engineering Sciences, Professor, **gmf.dek@ursmu.ru**
**Komlev A. S.**, Senior Researcher, Candidate of Engineering Sciences, **tails2002@inbox.ru**
**Vodovozov K. A.**, Senior Lecturer, **gmf.opi@ursmu.ru** |

Abstract |
Plant performance reports contain calculated data for processing plant indicators that cannot be directly measured and are widely used in industrial environments. This article discusses two available calculation options: compilation of a system of balance equations based on the relevant product testing data, and development of a mass balance equation based on the relevant weighing results. The quality of any plant performance data depends on the errors in establishing the known quantities included in the equations. In the first option, these include sampling errors for the ore, concentrate, and tailings, as well as ore amenability errors; in the second option, these are weighing errors for the ore and concentrates, as well as errors in establishing the masses of products in containers included in the performance data calculation scope. The most suitable performance data calculation option is selected depending on the magnitude and ratio of these errors specific to a particular processing plant. The two options are equivalent for a plant with high ore amenability and a simple system of balance equations (two to three equations) without a thickener in the calculation scope. For plants with low amenability and a more complex system of equations, the second option (a mass balance of the weighed products) is preferable. Only the second option should be used for plants with ore amenability indices of less than 2; with or without dry concentrate mass weighing in a thickener (for dry processes), it is advisable to use the second option at all plants. The relative random error formulas for the plant performance data calculation options allow selecting the applicable option for other situations beyond those discussed in the article.
**The study was supported by the Ministry of Science and Higher Education ****of the Russian Federation (No. 0833-2023-0004) under the ****state assignment for the Ural State Mining University.** |

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