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Intelligent detection method for water permeability of MBR membrane based on deep belief network (DBN)

A deep belief network and detection method technology, applied in the field of intelligent detection of MBR membrane water permeability based on deep belief network, can solve the problems of MBR sewage treatment capacity reduction, water permeability hysteresis, water permeability can not be directly measured, etc.

Active Publication Date: 2019-03-15
BEIJING DRAINAGE TECH CO LTD
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Problems solved by technology

[0004] ①Reduce the sewage treatment capacity of MBR
[0005] ②Increased investment cost and operating cost
Water permeability cannot be directly measured, and water plants generally use calculation methods to estimate the water permeability, which leads to a serious hysteresis in the water permeability and cannot achieve accurate online prediction of membrane fouling

Method used

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  • Intelligent detection method for water permeability of MBR membrane based on deep belief network (DBN)
  • Intelligent detection method for water permeability of MBR membrane based on deep belief network (DBN)
  • Intelligent detection method for water permeability of MBR membrane based on deep belief network (DBN)

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Embodiment Construction

[0073] Attached below Figure 1-5 The intelligent detection method of MBR membrane water permeability based on the deep belief network of the present invention is described in detail.

[0074] A kind of MBR membrane water permeability intelligent detection method based on depth belief network, it is characterized in that: this detection method comprises the steps:

[0075] (1) Determine the characteristic variables and target variables; take the MBR membrane sewage treatment process as the research object, analyze the characteristics of the water quality data, extract the water flow rate, water pressure, single-cell membrane scrubbing gas volume, anaerobic zone reduction potential ORP and good The nitrate in the oxygen zone is used as the characteristic variable, and the five variables correspond to the five input neurons of the DBN, which are used as the five inputs of the DBN; the effluent permeability is used as the target variable;

[0076] (2) Design a soft sensor model ...

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Abstract

The invention relates to an intelligent detection method for the water permeability of an MBR membrane based on the deep belief network (DBN), and the method comprises the steps: (1), determining a target variable and a characteristic variable; (2), designing a soft measurement model of membrane water permeability, and using the DBN to establish a soft measurement model for predicting the water permeability of the membrane; (3), correcting the built soft measurement model for predicting the water permeability of the membrane, and obtaining a simulation error graph and a prediction result graph; (4), predicting the water permeability. Based on the DBN, the soft measurement model for predicting the water permeability of the membrane is established, which reduces the computational complexityof water permeability, realizes on-line accurate measurement and real-time correction of water permeability, and provides an effective method for predicting the pollution state of the membrane in wastewater treatment, and improves the working efficiency and economic benefits of the MBR membrane wastewater treatment process.

Description

technical field [0001] The invention relates to the technical field of online detection of sewage treatment water quality, in particular to an intelligent detection method of MBR membrane water permeability based on a deep belief network. Background technique [0002] In recent years, the number and sewage treatment capacity of my country's sewage treatment plants have gradually increased, the growth rate of sewage treatment capacity is higher than the increase rate of sewage treatment capacity, and the operating load rate has also increased rapidly, indicating that the demand for sewage treatment has increased rapidly. At the same time, the national development plan proposes to study and promote low energy consumption and high-efficiency sewage treatment technology. The average annual growth rate of the total output value of the membrane industry is greater than or equal to 20%, and it is predicted to reach 200-250 billion yuan by 2020. MBR membrane plays an important role ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16Z99/00G06N3/04G06N3/08
CPCG06N3/084G06N3/088G06N3/045
Inventor 王晓爽常江王佳伟赵帅付玲王浩冀春苗
Owner BEIJING DRAINAGE TECH CO LTD
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