Sewage processing process dynamic multi-target optimization control method

Abstract

The invention discloses a sewage processing process dynamic multi-target optimization control method, belongs to the field of water research and also belongs to the field of intelligent control, for simultaneously optimizing energy consumption and water quality indexes under the condition that the water quality reaches the standard. First of all, a sewage processing process multi-target optimization model is constructed through a nerve network online modeling method for solving the problem of lack of accurate mathematic description between an optimization variable and a performance index; secondly, based on the established optimization model, a Pareto optimal solution of the problem is obtained through a multi-target optimization algorithm, and according to decision information, one satisfactory optimization solution is determined from a Pareto solution set, i.e., optimization set values of a dissolved oxygen concentration and a nitrate nitrogen concentration; and finally, a bottom controller realizes a tracking task of the optimization set value. The method provided by the invention can effectively reduce the energy consumption and the operation cost of a sewage processing process under the condition that the water quality reaches the standard.

Description

technical field [0001] The present invention proposes a dynamic multi-objective optimization control method for sewage treatment process based on neural network and non-dominant elite genetic algorithm NSGA-II, which simultaneously optimizes two important and conflicting performance indicators of sewage treatment process energy consumption and water quality, and realizes Dynamic optimization of dissolved oxygen concentration in aerobic zone and nitrate nitrogen concentration in anaerobic zone. The optimal control of sewage treatment is an important research topic in the field of water treatment, which belongs to the field of water research and also belongs to the field of intelligent control. Background technique [0002] The sewage treatment process is a complex process industrial system with high energy consumption. Its operation runs continuously and it is necessary to ensure that the quality of the effluent water meets the standard. With the country's requirements for e...

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Problems solved by technology

In the existing multi-objective optimization control methods for sewage treatment at home and abroad, the main problems are: considering the multi-objective optimization characteristics of the sewage process, but the optimization algorithm still treats it as a single-objective optimization problem; the main problem is to optimize the design parameters of the treatment plant The multi-objective optimization method, which adopts offline optimization mode, is not suitable for online optimization control; under the framework of model predictive control, the conflict characteristics of control performance indicators are considered, but the optimization of economic indicators such as water quality and energy consumption is not considered.

In addition, the problem of multi-objective optimal control of energy consumption and water quality in the sewage treatment process is difficult to establish the model of energy consumption-water quality-optimized set value

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