The Quality Monitoring Technology in the Process of the Pulping Papermaking Alkaline Steam Boiling Based on Neural Network

  • Authors:

  • Jianjun Su;Yanmei Meng;Chaolin Chen;Funing Lu;Sijie Yan

  • Affiliations:

  • Guangxi University, Nanning, China 530004;Guangxi University, Nanning, China 530004;Guangxi University, Nanning, China 530004;Guangxi University, Nanning, China 530004;Guangxi University, Nanning, China 530004

  • Venue:
  • ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
  • Year:
  • 2008

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Abstract

On the status quo that being lack of the testing equipment which gives reliable and direct parameters on measuring the quality of pulp in the cooking process, this article focus on the lignin value soft-measurement technology in the pulp and papermaking process. The pulp lignin value soft-measurement model is built basing on artificial neural network; It takes cooking process temperature, cooking time and the effective alkaline concentration as network input, and an improved BP algorithm to train the network for obtaining the predictive output value of the lignin value. Utilizing online measurement of cooking process temperature, cooking time and effective alkaline concentration, the soft-measurement model can monitor the quality of pulp.