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Proceedings Paper

Data fusion of the super saturation sensor of magma in sugar boiling process
Author(s): Jianjun Su; Yanmei Meng; Haiying Yuan
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Paper Abstract

The super saturation of magma, a main parameter in the boiling process control, usually is measured by electrical conductivity, but the output of sensor is influenced with the pure degree and temperature of magma. To eliminate that interference, the output would be done with by data fusion method based on the neural network. Using the measured value of electrical-conductivity sensor, syrup's Brix and temperature as the inputs, the network is trained by BP algorithm to achieve the fused output. The results of test shows that the data fusion method based on the artificial neural network could effectively eliminate the change of Brix and temperature has influenced on the supersaturation, and then could attain precise and stable output value.

Paper Details

Date Published: 2 May 2006
PDF: 6 pages
Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 604220 (2 May 2006); doi: 10.1117/12.664638
Show Author Affiliations
Jianjun Su, Guangxi Univ. (China)
Yanmei Meng, Guangxi Univ. (China)
Haiying Yuan, Guangxi Univ. of Technology (China)


Published in SPIE Proceedings Vol. 6042:
ICMIT 2005: Control Systems and Robotics
Yunlong Wei; Kil To Chong; Takayuki Takahashi; Shengping Liu; Zushu Li; Zhongwei Jiang; Jin Young Choi, Editor(s)

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