Research On Optimal Control Algorithm Of High Oxidation Rate In Biometallurgy In High Altitude Area

Biometallurgical technology is a mixed system composed of several substances such as micro-materials,water and air,and is a typical hydrometallurgical process.As a pretreatment technology for refractory gold ore,the bio-oxidation metallurgy process has the advantages of high recovery rate,low production cost,and light pollution.It has become a very competitive "green metallurgy" process in the 21 st century.The biological oxidation pretreatment process is the most important step in the biometallurgical process,and the decisive role in it is the oxidation rate of minerals,and the efficiency of gold extraction is also affected by this.Therefore,in order to ensure the quality of the bio-oxidation metallurgical process,the use of optimized control technology to increase the oxidation rate of minerals is of great significance to the actual production process.In high-altitude areas,the rate of mineral oxidation is the main target factor that affects the process control and operation optimization of bio-oxidation metallurgy.In the actual process,in the pretreatment process of bio-oxidation metallurgy,the strong nonlinearity and coupling between some data will change.Excessive changes in any factor in the oxidation process will affect the changes in other control variables,and then affect Mineral oxidation rate.In addition,due to the lag in the detection of the mineral oxidation rate,the oxidation rate cannot be directly measured,and the control of the mineral oxidation rate cannot be achieved.In response to the above problems,this paper uses a high-altitude gold mine as the research background,and aims to optimize the oxidation rate control and obtain high mineral oxidation rates,and propose a high oxidation rate optimization control plan.This article first introduces the biological oxidation metallurgical process and characteristics in depth.The pretreatment process of biological oxidation metallurgy has high requirements on the oxidation rate of minerals.In-depth study increases the controllability of the oxidation rate by analyzing the changes in the oxidation rate affected by other factors.;Then on the basis of the mineral oxidation rate influencing factors,combined with the process site control requirements,according to the actual process data accumulated,using the GA-BP neural network algorithm,according to the relationship between the mineral oxidation rate and different factors,build the mineral oxidation rate The prediction model realizes the online prediction of mineral oxidation rate.Finally,under the conditions of ensuring the stable operation of the bio-oxidation metallurgical pretreatment process,aiming at the problem of obtaining high oxidation rate in the shortest possible time and reducing energy consumption as much as possible,the mineral oxidation rate influence factor is proposed as a control parameter.The multi-objective optimization control algorithm establishes an optimization strategy for the pretreatment process of bio-oxidation metallurgy in high-altitude mining areas,improves the mineral oxidation rate,and provides theoretical guidance for the research of bio-oxidation metallurgy in high-altitude areas.