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A fault identification method for sludge bulking based on recursive rbf neural network

A neural network and fault identification technology, applied in the field of water treatment, can solve problems such as difficult to explore the cause, control measures, and no sludge bulking.

Active Publication Date: 2020-04-03
BEIJING UNIV OF TECH
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  • Claims
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AI Technical Summary

Problems solved by technology

However, the problem of sludge bulking has always been a thorny problem in the activated sludge process. Due to the abnormal separation of sludge and water, the sewage treatment process fails
It can be seen that sludge bulking is a common problem faced by sewage treatment plants at home and abroad. Scholars from various countries have done a lot of research on the prevention and control of sludge bulking. Although some progress has been made, so far, there is no research on sludge bulking. effective control measures; the point is that once sludge bulking occurs, the reason is not easy to explore, and it takes a long time to deal with the failure of the process

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  • A fault identification method for sludge bulking based on recursive rbf neural network
  • A fault identification method for sludge bulking based on recursive rbf neural network
  • A fault identification method for sludge bulking based on recursive rbf neural network

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Embodiment Construction

[0088] The present invention selects the characteristic variables of the sludge volume index SVI as the mixed suspended matter concentration MLSS, temperature T, dissolved oxygen concentration DO, chemical oxygen demand COD and total nitrogen TN, and the above units are mg / liter;

[0089] The experimental data comes from the 2014 water quality analysis daily report of a sewage treatment plant; after removing the abnormal experimental samples, there are 100 sets of available data, of which 60 sets are used as training data, and the remaining 40 sets are used as test data; the present invention adopts the following technical scheme and realization step:

[0090] The specific steps of sludge bulking fault identification algorithm based on recursive RBF neural network are as follows:

[0091] 1. A sludge bulking fault identification method based on a recursive RBF neural network, characterized in that it obtains the eigenvalue of the sludge volume index SVI through feature analysi...

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Abstract

A sludge bulking fault identification method based on a recursive RBF neural network belongs to the field of control and also belongs to the field of water treatment. Aiming at the problems that sludge bulking is difficult to accurately detect and the cause of sludge bulking is difficult to identify in the process of sewage treatment, the present invention designs a sludge bulking fault identification method based on recursive RBF neural network. The soft-sensing model of the sludge volume index SVI completes the real-time prediction of the sludge volume index SVI concentration. Once the occurrence of sludge bulking is detected, the fault variable identification CVI algorithm is used to accurately identify the fault variables that cause sludge bulking. The method can control the sewage treatment process in advance according to the fault variable, reducing the occurrence rate of sludge bulking.

Description

technical field [0001] Based on the fact that sludge bulking is easy to occur in the activated sludge process in the sewage treatment process and the cause is not easy to identify, the present invention designs a sludge bulking fault identification method by using the recursive RBF neural network, and realizes the early effective sludge bulking after fault variable identification Adjustment; sewage treatment sludge volume index SVI is an important parameter to characterize sludge bulking, the relationship between sludge volume index SVI and process variables in sewage treatment process is the basic link to realize effective prediction of sludge bulking; and, identification of sludge bulking failure It has an important impact on the stable and safe operation of sewage treatment. It is an important branch of the advanced manufacturing technology field. It belongs to both the control field and the water treatment field. Therefore, identification of sludge bulking faults is of gre...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06N3/04G06N3/08
CPCG06N3/04G06N3/08G06F30/20G06N3/088C02F2303/12C02F3/12C02F3/006Y02W10/10G06N3/048G06N3/044
Inventor 韩红桂郭亚男乔俊飞
Owner BEIJING UNIV OF TECH
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