Journal of South China University of Technology (Natural Science Edition) ›› 2005, Vol. 33 ›› Issue (12): 42-45.

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ANN-Based Dynamic M odeling of Wastewater Treatment Process in Paper M aking by W aste Paper

Li Di1  Tang Hui1  Wan Jin-quan2  Ma Yong-wen2   

  1. 1.College of Mechanical Engineering,South China Univ.of Tech.,Guangzhou 510640,Guangdong,China;2.College of Resource Science and Paper-Making Engineering,South China Univ.of Tech.,Guangzhou 510640,Guangdong,China
  • Received:2005-02-28 Online:2005-12-25 Published:2005-12-25
  • Contact: 李迪(1965-)，女，教授，主要从事过程智能监测及控制 E-mail:itdili@scut.edu.cn
  • About author:李迪(1965-)，女，教授，主要从事过程智能监测及控制
  • Supported by:

    广东省科技厅重大专项(2003A3040406)；广州市科技计划项目(2004Z3-D0271)

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Abstract:

This paper aims at exploring the possibility of building a dynamic model by artificial neural network for the wastewater treatment process in the paper making by waste paper.During the investigation,the error BP(Back Proragation)neural network is used to establish a dynamic model and describe the complex relationship among the COD of the influent wastewater,the dosage of the added medicament,the flowrate of the influent,the historical COD of the efluent and the predictive COD of the efluent.Different training methods for the network are then com-pared and discussed,demonstrating that the training method with dynamic adjustment results in good consistency between the calculated ouputs and the practical ouputs.The proposed model is finally applied to the wastewater treatment of a paper mill,with the results verifying the effectiveness of the BP model for the dynamic description of
wastewater treatment.This model lays a foundation for the further investigation into the on-line intelligent control of the wastewater treatment system.

Key words: paper making, wastewater treatment, artificial neural network, dynamic modeling