Fuzzy control method and system for oxygen content in biological tank

Abstract

The invention discloses fuzzy control method and system for oxygen content in a biological tank. The method comprises the steps of S1, determining whether reaching the sampling time; if so, performing step S2; S2, acquiring the current oxygen content d of the biological tank, and calculating the fuzzy error value E and the fuzzy variation rate Ec according to the current oxygen content d; S3, querying a fuzzy control table according to the fuzzy error value E and the fuzzy variation rate Ec to obtain fuzzy control quantity U; S4, obtaining the actual output value u according to the fuzzy control quantity U, so as to control the oxygen content of the biological tank. According to the method and system, the fuzzy control technology is carried out to control the oxygen content in the biological tank, thus the problems of low survival rate of unit microorganisms in the biological tank, large energy consumption of an air blower and high production cost can be solved, and the economic benefit and environmental benefit are obviously increased.

Description

technical field [0001] The invention relates to the field of sewage treatment, in particular to a fuzzy control method and system for the oxygen content of a biological pool. Background technique [0002] In the process of modern urban sewage treatment, the biological pool reaction unit is the core part. The operation control of this part is directly related to the operation status of the entire sewage treatment plant. The principle of biochemistry is to use the metabolism of microorganisms to reduce organic pollution. The dissolved oxygen DO (Dissovled Oxygen) is a very critical index parameter in the biological reaction process. [0003] At present, most of the existing domestic oxygen aeration systems for biological pools adopt traditional closed-loop or semi-closed-loop PID, open-loop control system, manual control and other schemes. Closed-loop PID control is based on the feedback of oxygen-containing data and proportional, integral, and differential control modules to...

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Problems solved by technology

[0004] Traditional closed-loop PID control often produces adverse effects such as long rise time, excessive overshoot, and system oscillation for some process parameters with large time lag, such as temperature, flow, and liquid level, and it is difficult to establish a mathematical model for the traditional PID control system , it is difficult to obtain the transfer function

Therefore, the control effect on the inertial lag parameter of oxygen content in the biological pool is not good; the open-loop control lacks the dissolved oxygen inspection sensor, and only relies on laboratory test data to adjust, and the real-time control is not strong; although manual control saves equipment costs, However, a large amount of labor costs are added, and manual adjustment may cause a large number of anaerobic microorganisms in the biological pool to die due to operational errors

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