In this paper, a whole process optimization control (WPOC) method is proposed for the wastewater treatment process (WWTP). The WPOC method is studied under the scheme of hierarchical control. First, the intelligent decision part is designed based on the data and knowledge information of the system. The optimal direction is adjusted according to the preference of decision makers and the current system performance. Then, the weight coefficients of the performance indexes are provided to the optimization layer. The NSGA-II algorithm is adopted for solving the multi-objective optimization problem. The tracking control task is finished using the neural network control method. Simulation results, based on the international benchmark simulation model no. 1 (BSM1), show that WPOC method can achieve the energy saving with meeting effluent discharge, and the comprehensive evaluation of energy consumption and effluent quality is also improved.
Whole process optimization Hierarchical control Intelligent decision Knowledge and data Wastewater treatment
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This work is supported by National Science Foundation of China under Grant 61703145, Doctor Fund Project of Henan Polytechnic University of China under Grant B2017-21.
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