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Intelligent control method for A2O biological tank process

An intelligent control, biological pool technology, applied in water treatment parameter control, chemical instruments and methods, biological water/sewage treatment, etc., can solve the problems of increased investment, operation cost, lack of scientific management and control, etc., to reduce The effect of process operating costs

Pending Publication Date: 2022-01-28
KUNMING UNIV OF SCI & TECH
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  • Abstract
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Problems solved by technology

Therefore, at present, most sewage treatment plants lack scientific management and control in terms of design and operation and maintenance, resulting in increased investment and operating costs

Method used

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  • Intelligent control method for A2O biological tank process
  • Intelligent control method for A2O biological tank process
  • Intelligent control method for A2O biological tank process

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Embodiment Construction

[0105] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to illustrate the present invention, not to limit the present invention.

[0106] figure 1 shows the A provided by an embodiment of the present invention 2 The flow chart of O biopool process intelligent control method (such as figure 1 shown), the method includes the following steps:

[0107] Step 1, set the input parameters;

[0108] Specifically, the input parameters include the bio-pool influent flow q 0 , sludge return flow Return flow of mixed liquid Mud discharge q w , the structure volume and the concentration of the influent components of the biological pool; the concentration of the influent components of the biological pool includes the chemical oxy...

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Abstract

The invention discloses an intelligent control method for an A2O biological tank process. The method comprises the following steps: setting input parameters required by modeling; establishing an ASM2D model of the A2O biological tank; establishing an ASM3 mathematical model of the secondary sedimentation tank; establishing a sedimentation process mathematical model of the secondary sedimentation tank; the models are compiled by adopting a C language and are converted into S functions which can be called by software and are used for simulating an A2O process; performing steady-state simulation on the models, correcting parameters of each model, and simulating and adjusting the effluent quality; performing deep learning adaptive control and adaptive correction are carried out, and screening target control parameters; outputting optimal control parameters after model simulation; and outputting the optimal control parameters to a PLC control platform to control the process. Technical guidance can be provided for transformation and optimization of an intelligent control system of a sewage treatment plant, higher sewage treatment efficiency is achieved, the operation energy consumption of the sewage treatment plant is reduced, and the operation cost is saved.

Description

technical field [0001] The invention belongs to the technical field of sewage treatment, in particular to a 2 O biological pool process intelligent control method. Background technique [0002] At present, in the sewage treatment industry, the intelligent water affairs developed by scientific and technological means, mature technology and exposed problems make the optimal control technology in the sewage treatment process an urgent problem to be solved. The water treatment process derived from the activated sludge method is mature and stable, and the treatment effect is good; however, it still adopts empirical or semi-empirical methods in terms of process design and operation and maintenance. Therefore, at present, most sewage treatment plants lack scientific management and control in terms of design and operation and maintenance, resulting in an increase in investment and operation costs. [0003] A 2 O (Anaerobic-Anoxic-Oxic) process, that is, anaerobic-anoxic-aerobic p...

Claims

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Application Information

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IPC IPC(8): C02F3/30C02F3/34C02F9/14G06F30/28
CPCC02F3/30C02F3/34C02F9/00G06F30/28C02F2209/22C02F2101/16C02F2101/30C02F2209/40C02F1/5209C02F2001/007
Inventor 施宇震郭保秀关清卿
Owner KUNMING UNIV OF SCI & TECH