Silver Ore-dressing Model and Performance Analysis Based on ANFIS

Abstract

The aim of mineral ore-dressing technology research and ore-dressing production technology management is to improve the utilization rate of resources, reduce environmental pollution and costs, and improve efficiency and get higher profits. The main purpose of the mineral ore-dressing is the pursuit of higher resource recovery, in order to make maximum use of resources. Ore recovery rate is determined by analyzing ore, concentrate grade is calculated, and ore dressing recovery rate of high and low, the concentrate grade is related.Arhada Lead and Zinc concentrator, for example, analyze the influence on ore-dressing recovery rate, find what factors influencing the ore-dressing recovery rate of the larger, get the effect and correlation of general law, to guide the reasonable control of mineral ore-dressing technology research and Industrial production control, determine the beneficiation technology in the economic indicators plays an important role. Therefore, it is very necessary to explore analysis correlation between grade and ore-dressing recovery rate. In this paper, by integrating a total of 6 months of daily report from Arhada Lead and Zinc concentrator, 484 sets of data, based on controlling screening of these data and eliminating abnormal data, carrying out based on the mathematical relations between common 11 kinds of a metadata model of data statistics, correlation analysis and statistical test, through the comparison of all kinds of models, silver ore-dressing recovery rate and concentrate grade is established the unprocessed ore grade optimal data model.