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Sewage treatment process energy-saving optimization control method based on quantum genetic algorithm

A quantum genetic algorithm and optimization control technology, which is applied in the field of energy-saving optimization control of sewage treatment process based on quantum genetic algorithm, can solve the problems of poor sedimentation of suspended solids, increased energy consumption, and poor effluent quality.

Active Publication Date: 2016-05-11
SUN YAT SEN UNIV
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Problems solved by technology

Excessively high dissolved oxygen will accelerate the consumption of organic matter in sewage, causing microorganisms to age due to lack of nutrients. Long-term excessively high dissolved oxygen will reduce the flocculation performance and adsorption capacity of activated sludge, increase energy consumption, and cause suspended solids Settling property becomes poor, effluent water quality deteriorates; the level of dissolved oxygen is too low, which will reduce the activity of sludge, which will inhibit the degradation of organic matter by organisms and cause sludge bulking. Therefore, the optimal control of DO concentration is realized, and the effect of sewage treatment and running costs are very meaningful

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  • Sewage treatment process energy-saving optimization control method based on quantum genetic algorithm
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  • Sewage treatment process energy-saving optimization control method based on quantum genetic algorithm

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Embodiment Construction

[0075] The drawings are for illustrative purposes only, and should not be construed as limitations on this patent; in order to better illustrate this embodiment, some parts in the drawings will be omitted, enlarged or reduced, and do not represent the size of the actual product;

[0076] For those skilled in the art, it is understandable that some well-known structures and descriptions thereof may be omitted in the drawings. The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0077] The present invention obtains a quantum genetic algorithm-based energy-saving optimization control method for sewage treatment process. The control method dynamically optimizes and controls the underlying fuzzy neural network controller by comprehensively considering effluent water quality, aeration and pumping energy consumption, and sludge waste treatment costs. The set values ​​of sludge concentration a...

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Abstract

The invention belongs to the environmental protection technical field and control field and specifically relates to a sewage treatment process energy-saving optimization control method based on a quantum genetic algorithm. The method is characterized in that, with effluent quality, aeration, pumping energy consumption and sludge and waste treatment cost being taken into overall consideration, quantum state vector expression is introduced to genetic encoding to express chromosomes, and evolutionary search is achieved by utilizing quantum gate effect and update so as to optimize operating cost of sludge and waste treatment, backflow and aeration energy consumption and the like of a sewage treatment system; and aeration intensity of an air blower and sludge pump backflow amount are adjusted by a fuzzy neural network controller in real time based on a set value after optimization so as to realize optimization control of the sewage treatment process, thereby reducing the operating cost while ensuring the effluent quality, reducing the sewage treatment cost and promoting efficient and stable operation of a sewage treatment factory.

Description

technical field [0001] The invention relates to the field of environmental protection control, and more specifically, to an energy-saving optimization control method for sewage treatment process based on quantum genetic algorithm. It comprehensively considers the effluent water quality, aeration and pumping energy consumption and sludge waste treatment cost, and dynamically optimizes the operating costs of sludge waste treatment, backflow and aeration energy consumption of the sewage treatment system, and is adjusted in real time by the fuzzy neural network controller Blower aeration rate and sludge pump return rate to achieve optimal control of the sewage treatment process. Background technique [0002] With the rapid development of economy and society, water pollution is becoming more and more serious, which has threatened the survival of all living things. Research and promotion of efficient, stable and economical new sewage treatment technologies have attracted great att...

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/04
Inventor 黄明智林凯荣陈晓宏章涛阮菊俊
Owner SUN YAT SEN UNIV
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