Method for forecasting sludge volume index in sewage treatment process

A technology of sludge bulking and prediction method, which is applied in the field of water treatment, can solve problems such as difficult measurement, difficulty in obtaining sludge bulking information, etc., and achieve the effect of saving investment and operating costs

Active Publication Date: 2014-12-03
BEIJING UNIV OF TECH
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Problems solved by technology

The key indicator of SVI is difficult to measure. In the actual operation of sewage treatment plants, it is obtained by manual testing, and its analysis and measurement cycle generally takes several hours.
The measurement frequency of SVI in most sewage treatment plants is 1-2 times a week, and it is difficult to obtain sludge bulking information in time by relying on the manual test value of SVI

Method used

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  • Method for forecasting sludge volume index in sewage treatment process
  • Method for forecasting sludge volume index in sewage treatment process
  • Method for forecasting sludge volume index in sewage treatment process

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Experimental program
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Embodiment Construction

[0049] The present invention selects and predicts the auxiliary variable Q of SVI in , DO, pH, COD, TN, BOD, where Q in is the influent flow, DO is the dissolved oxygen concentration in the aeration tank, pH is the pH of the water in the aeration tank, COD is the chemical oxygen demand of the effluent, TN is the total nitrogen concentration of the effluent, and BOD is the biochemical demand of the effluent Oxygen, but BOD is difficult to measure, and it needs to be predicted by the first part of the integrated neural network neural network; Q in The unit is m 3 / day, pH has no unit, other units are mg / L;

[0050] The experimental data comes from the 2008 water quality analysis daily report of a sewage treatment plant. After the experimental samples are preprocessed, 160 sets of data are left, and all 160 sets of data samples are divided into two parts: 100 sets of data are used as training samples, and the remaining 60 sets of data are used as test samples. The test sample ...

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Abstract

The invention relates to a method for forecasting sludge volume index in the sewage treatment process and belongs to the field of sewage treatment. The sewage treatment process is severe in production condition and serious in random interference and has the features of being strong in nonlinearity, large in time varying and severe in hysteresis. Sludge volume of different degrees exists in almost all of the municipal sewage plants and most of industrial sewage treatment plants in China every year. The main features of the sludge volume are that sludge settleability is worsened, the sludge volume index (SVI) represents the parameter of the sludge settleability, but the SVI which is criticality index is difficultly measured online. In order to solve the problem that the SVI in the sewage treatment process cannot be measured online, the forecasting method based on an integrated nerve network is adopted to achieve real-time forecasting of the SVI in the sewage treatment process, and good effect is obtained.

Description

technical field [0001] The invention utilizes the integrated neural network to realize the prediction of the sludge bulking index SVI in the process of sewage treatment. The concentration of SVI directly determines the information of sludge settlement in the process of sewage treatment, which has an important impact on the normal operation of sewage treatment; the prediction method is applied to The sewage treatment system can not only save investment and operating costs, but also monitor the relevant parameters of sewage treatment in time, so as to promote the efficient and stable operation of sewage treatment plants; as an important part of sewage treatment, SVI monitoring is an important branch of advanced manufacturing technology. The field of control belongs to the field of water treatment. Background technique [0002] The issue of water resources has become the primary concern of governments around the world. The United Nations "World Water Resources Comprehensive Ass...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N33/18
Inventor 韩红桂乔俊飞任东红袁喜春
Owner BEIJING UNIV OF TECH
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