The Research On Predictive Control Of Oxidation Tank Temperature Biometallurgy In Alpine Region

Temperature is one of the important factors in the biometallurgical oxidation pretreatment process,which affects the activity and reproduction rate of bacteria,and is related to the oxidation rate.It is also an important indicator to characterize the biochemical reaction in the pretreatment process.Therefore,by controlling the temperature in the oxidation tank,the temperature of the oxidation tank is stably maintained within the temperature range suitable for bacterial reproduction and activity,so that the bacterial metabolic process is beneficial to the enrichment of the target product,and is a prerequisite for maintaining a high oxidation rate for the entire organism.The metallurgical oxidation pretreatment process plays an important role.Especially in the high-altitude and high-altitude areas,the environment is complex and variable,which often causes the heat loss on the outer wall of the oxidation tank to be severe,the temperature in the tank changes drastically,the bacterial activity decreases,and the biochemical reaction process is restricted,which makes the production efficiency and resource utilization rate of the pretreatment process change.Low(the oxidation rate of a gold mine in Xinjiang during normal production is 98%,and the windy and wind-blown weather is only 60%).Therefore,in view of the violent temperature change of the oxidation tank in the alpine region,it is impossible to maintain the high resource utilization problem.The temperature change of the oxidation tank and the mechanism of the temperature are analyzed in depth,and the temperature control method of the oxidation tank is further studied.Metallurgical issues are of considerable importance.This article now makes the following arrangements:Firstly,in view of the influence of external environmental factors,the heat loss of the oxidation tank wall is serious.This paper uses the knowledge of heat transfer and fluid mechanics to analyze the heat transfer process of the oxidation tank equipment in detail,and establish the heat transfer mechanism model of the oxidation tank.Secondly,in view of the uneven temperature distribution of the oxidation tank,the finite element simulation software Workbench is used to study the temperature field distribution of the oxidation tank affected by external factors,and then optimize the oxidation tank equipment to provide support for the oxidation tank temperaturecontrol scheme.Thirdly,aiming at the temperature control problem of oxidation tank in complex environment,a nonlinear model predictive control method is proposed to predict and control the temperature of oxidation tank.Among them,the nuclear extreme learning machine(KELM)is selected as the prediction model and the modified whale optimization algorithm(EWOA)is used to optimize the parameters of the nuclear extreme learning machine(KELM)to improve the accuracy of the prediction model.The improved hybrid leapfrog algorithm is used to the objective function.Roll optimization.The simulation results show that the proposed method can effectively control the temperature of the oxidation tank.Therefore,this method provides an effective guide for temperature control problems in the process.