DocumentCode :
2369882
Title :
Soft-measurement of black liquor baume degree & its implementation
Author :
Tang, Wei ; Huang, Junmei ; Liu, Dan ; Wang, Mengxiao
Author_Institution :
Dept. of Paper-making Eng., Shaanxi Univ. of Sci. & Technol., Xi´´an, China
fYear :
2010
fDate :
4-7 Aug. 2010
Firstpage :
819
Lastpage :
823
Abstract :
Aiming at the problem of on-line measurement of black liquor baume degree, a soft-measurement scheme based on GSVM (Gaussian Kernel Support Vector Machine) was proposed in this paper. The model used steam pressure and liquor temperature as the secondary variables to predict black liquor baume degree. In terms of the hardware and software development platform of SIEMENS S7-300, a DCS based on soft measurement technology of black liquor baume degree was designed. The results show that this method can monitor the black liquor baume degree in evaporation section of the alkali recovery process better, control the utilization rate of the fresh steam effectively and achieve the purpose of reducing the energy consumption of paper-making industry successfully.
Keywords :
Gaussian processes; paper industry; paper making; production engineering computing; pulp manufacture; support vector machines; water pollution measurement; Gaussian kernel support vector machine; SIEMENS S7-300; alkali recovery process; black liquor baume degree; fresh steam utilization rate; liquor temperature; paper-making industry; soft-measurement scheme; steam pressure; Computational modeling; Computers; Hardware; Kernel; Mathematical model; Predictive models; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2010 International Conference on
Conference_Location :
Xi´an
ISSN :
2152-7431
Print_ISBN :
978-1-4244-5140-1
Electronic_ISBN :
2152-7431
Type :
conf
DOI :
10.1109/ICMA.2010.5589029
Filename :
5589029
Link To Document :
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