Prediction Of Effluent Quality And Multi-objective Optimal Control In Sewage Treatment Process

Wastewater treatment process has the characteristics of non-linear,large lag,strong coupling and so on.It is difficult to measure the quality of effluent in time,which results in the control of most sewage treatment plants is not timely and the efficiency of sewage treatment is low.In order to make the effluent quality meet the standard,measures such as increasing aeration rate are often adopted to improve the effluent quality,but these measures will lead to serious power consumption in the sewage treatment process.Therefore,based on the actual project of a sewage treatment plant in Changsha,this paper studies the intelligent optimization control algorithm to optimize the control variables in the sewage treatment process,so as to achieve the balance between water quality and energy consumption.Aiming at the difficulty of on-line monitoring of effluent quality,in order to obtain the feedback of effluent quality in time,this paper uses the related parameters of influent water quality as auxiliary variables,and uses support vector machine(SVM)to predict the effluent ammonia nitrogen and total nitrogen.The parameters of SVM were optimized by improved particle swarm optimization(IPSO),and the crossover and mutation ideas of genetic algorithm(GA)were combined.Finally,the prediction model of effluent ammonia nitrogen and effluent total nitrogen based on IPSO-GA-SVM was established.Simulation results show that IPSO-GA-SVM model is better than PSO-SVM and IPSO-SVM model,and has good prediction accuracy.Dissolved oxygen(DO)concentration in aeration process and nitrate nitrogen(NO)concentration in anoxic tank are important factors affecting power consumption in wastewater treatment process.In this paper,based on the optimization of effluent water quality and effluent water quality,the improved MOPSO algorithm is proposed to reduce the effluent water quality and energy consumption.The optimal control effect of nitrogen and nitrogen is set as one hour.According to the requirements of the process control system of the sewage plant,the three-layer control system is designed according to the actual process requirements.After completing the hardware configuration,host computer configuration and control program writing,the communication between MATLAB control optimization station and Win CC is established by OPC technology to realize the on-site operation of DO and NO settings optimized by IMOPSO.Field operation results show that the dynamic set point adjustment strategy can reduce the energy consumption of wastewater treatment process.