Data fusion of the super saturation sensor of magma in sugar boiling process

Jianjun Su; Yanmei Meng; Haiying Yuan

doi:10.1117/12.664638

2 May 2006 Data fusion of the super saturation sensor of magma in sugar boiling process

Jianjun Su, Yanmei Meng, Haiying Yuan

Proceedings Volume 6042, ICMIT 2005: Control Systems and Robotics; 604220 (2006) https://doi.org/10.1117/12.664638
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China

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.

Citation Download Citation

Jianjun Su, Yanmei Meng, and Haiying Yuan "Data fusion of the super saturation sensor of magma in sugar boiling process", Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 604220 (2 May 2006); https://doi.org/10.1117/12.664638

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