GOLD-CONTAINING ORES COMPLEX ENRICHMENT PROCESS AUTOMATIC MONITORING AND CONTROL METHOD Russian patent published in 2019 - IPC B03B13/00 

FIELD: technological processes.

SUBSTANCE: invention relates to the field of gold ores enrichment and can be used for the mining industry technological processes control optimization. Gold ores complex enrichment automatic monitoring and control method includes supplied for the processing ore and the enrichment products elemental composition analysis, technological processes input effects and internal parameters measurement, supplied for the processing ore grade assessment, on the basis of the obtained data the information archive formation, characterizing the production process efficiency for different grades of ore, the information archives moving update, current data set identification with the available archival data for the ore grades similar to the current one and ensuring the specified performance criteria achievement, and based on this procedure the control systems tasks formation. Additionally, estimating the gold content in the source ore by the gold content on the associated indicator elements correlation dependences construction, taking into account of the gold content calculated value and the found component elemental composition ratio, evaluating supplied for the processing ore grade. For the processed ore current grade, calculating the mutual correlation functions of the elemental composition components contents ratio, which have the greatest significance in the ore pretreatment processing feeding, enrichment, the enrichment products hydrometallurgical finishing with their contents in output products, finding the τ1max, τ2max and τ3max measurements phase shift times, ensuring the mutual correlation functions maxima achievement, equivalent to the processes flowing average duration, setting the processing plant as a whole efficiency evaluation criteria. Setting the each of the technological conversions efficiency evaluation criteria, analyzing the gold content in the flotation tailings liquid phase at their cyanidation stage in the hydrometallurgical refinement process. Given the found enrichment process τ2max duration forming the data set characterizing the gold content in the enrichment redistribution feed dependence on the solid phase elemental composition and the gold content in its tailings liquid phase. Based on the generated data sets, constructing the multiple regression equation, using the found multiple regression equation estimating the gold content in the flotation feed, and calculating the gold recovery % into the concentrate. Next, analyzing the gold content in the industrial enrichment product hydrometallurgical finishing tailings liquid phase, taking into account of the found τ3max enrichment process duration forming the data set characterizing the gold content in the tailings solid phase dependence on the solid phase elemental composition, the gold content in the processing enrichment tailings liquid phase and the gold content in the tailings liquid phase. Based on the generated data sets, constructing the multiple regression equation, according to the found multiple regression equation, estimating the gold content in the tailings solid phase, calculating the gold total loss in the tailings liquid and solid phases is, calculating the gold recovery % into the hydrometallurgical processing concentrate. Taking into account the obtained data, calculating the gold from the original ore total extraction. In case of the processing complex as a whole efficiency specified performance criteria achievement, forming the processes input actions and internal parameters sets, synchronized in time taking into account of the found τ1max, τ2max and τ3max processes performance average durations, and recording the redistribution all components local performance indicators, after the completion of the formation of archives of sets of input effects, internal process parameters for the process ore grades entire observed spectrum and the required amount of information accumulation performing the Shewhart control charts construction. In case of the processing complex as a whole location in the statistical controllability zone, leaving the process mode unchanged. In case of a negative result, sequentially for the all processes analyzing the current indicators compliance with the local performance criteria, for inefficiently working processes, comparing the specified values to the control circuits with those formed according to the control algorithm. In case of their coincidence, comparing the specified to the control circuits values with the parameters current values and, if deviations are detected, generating the alarm message, and in the absence of deviations, initiating the archives moving updating cycle.

EFFECT: increase in the gold ore dressing process automatic monitoring and control efficiency.

7 cl, 3 dwg