Research on Optimal Control of Sewage Recycling Treatment System Based on Immune Algorithm
In order to reduce the energy consumption of sewage recycling treatment system,an optimization control model of sew-age recycling treatment process based on artificial immune network algorithm of combinatorial optimization was proposed.First,deter-mine the objective function,starting time and optimization cycle of optimization,then use the artificial immune network algorithm of combinatorial optimization to obtain the initial antibody population,evaluate antibody affinity,clone and clone inhibition,and realize antibody mutation.Finally,combined with the sewage treatment simulation model,apply the artificial immune network algorithm of combinatorial optimization to the sewage recycling treatment process,and analyze the effluent index and total energy consumption of sewage recycling treatment.The simulation results show that the proposed optimization control achieves energy-saving control of sew-age recycling treatment.Compared to conventional control and open-loop control,the energy consumption of the control strategy is significantly reduced,and the water quality control indicators of sewage recycling treatment can be achieved.The total energy con-sumption of combinatorial optimization artificial immune network algorithm is 3 784.4 kW·h/d,the total energy consumption of open-loop control is 4 066.7 kW·h/d,and the total energy consumption of conventional control is 3 935.5 kW·h/d,which can provide theoretical support for energy conservation and emission reduction of sewage recycling treatment.
immune algorithmsewage treatmentenergy savingcircular processingBSM1 model
万方数据
维普
