Intelligent optimization control of wastewater treatment process based on two-stage neighborhood search
In order to better balance the relationship between effluent quality and energy consumption in the wastewater treatment process,an intelligent optimization control method for wastewater treatment process based on two-stage neigh-borhood search is proposed.First,a multi-objective optimization model with energy consumption and effluent quality as targets is established.Secondly,strength Pareto evolutionary algorithm 2 based on two-stage neighborhood search(2-NS-SPEA2)is proposed to optimize the constructed model.Through the two-stage neighborhood search around the sparse solution of the external archive,and the replacement strategy is used to update the external archive,so as to improve the op-timization performance of the algorithm and obtain better quality of the optimal set-points of nitrate nitrogen concentration and dissolved oxygen concentration.Finally,the PID controller is used to track and control the determined optimal set-points to ensure the accurate implementation of the optimization method.The operation optimization control experiment of wastewater treatment process shows that the proposed algorithm can effectively purify the water quality and reduce the energy consumption in the wastewater treatment process under the premise of ensuring that the effluent quality meets the discharge standards.
万方数据
维普
