COD soft sensing process

A technology of soft measurement and prediction model, applied in the field of COD soft measurement, which can solve problems such as difficulty in COD measurement

Inactive Publication Date: 2008-12-31
BEIJING UNIV OF TECH
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Problems solved by technology

[0005] The purpose of the present invention is to solve the difficult problem of COD online measurement, according to the nonlinear characteristics of the sewage treatme

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Experimental program
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Embodiment Construction

[0059] The experimental data comes from the daily report of water quality analysis in a sewage treatment plant. figure 1 A COD neural network prediction model is given, the input is mixed liquid suspended solids (MLSS), oil, pH, ammonia nitrogen, and the output is the COD of the effluent in the process of sewage treatment. Among them, MLSS refers to the weight of dry sludge contained in the mixed liquid of the biochemical tank per unit volume; pH reflects the acidity and alkalinity of the influent water quality; oil refers to the content of oil pollutants in the influent water; ammonia nitrogen represents the content of ammonia nitrogen in the influent water. COD refers to the amount of oxygen required by the oxidizable substances in wastewater when they are oxidized by chemical oxidants. Except for pH, the above units are mg / L. The 4-32-1 connection method is adopted, that is, 4 input neurons, 32 hidden layer neurons, and 1 output neuron, see figure 1 . There are 100 train...

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Abstract

The invention discloses a COD soft measurement method which belongs to the sewage treatment field. Water quality indicators are difficult to carry out the on-line measurement due to the non-linearity, the time-varying property and the complexity of the sewage biological treatment process, but the water quality indicators are often important for the sewage treatment. The COD soft measurement method is designed against the problem of difficult COD on-line measurement and provides the method which applies the rapid EFAST method for pruning redundant neurons, simplifying the neural network structure and carrying out the soft measurement of COD according to the characteristic of the non-linearity of the sewage treatment process. A great deal of materials matching for processing the biochemical reactions of an aeration tank are timely adjusted according to the soft measurement result, thereby facilitating the better removal of the COD and avoiding complicated projects for research and development of sensors. The method can also be expanded to carry out the research of other water quality indicators for guiding the actual production and operation.

Description

technical field [0001] The invention relates to a soft measurement method for effluent water quality indicators in the sewage treatment process, in particular to a soft measurement method for COD by using a fast EFAST method to simplify the neural network structure. Background technique [0002] Sewage treatment, in essence, is to adopt the necessary treatment methods and processes to separate the pollutants in the sewage or convert them into harmless substances, so that the sewage can be purified. According to its mechanism of action, modern sewage treatment methods can be divided into four categories: physical treatment, chemical treatment, physicochemical treatment and biochemical treatment. Among them, biochemical treatment is the most commonly used sewage treatment method. Its main function is to use the metabolism of microorganisms to convert dissolved and colloidal organic pollutants in sewage into stable and harmless substances. It has the advantages of high removal...

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Application Information

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IPC IPC(8): G01N33/18G06F19/00
Inventor 乔俊飞李淼
Owner BEIJING UNIV OF TECH
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