Search

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. [ABSTRACT FROM AUTHOR]

Sugar Boiling is a most important link in producing sugar. The quality of it direct influence product. Its production line is a complicated chemistry and physics processes. The super saturation and Brix of confection in sugar boiling process, sugar boiling bowl’s temperature, press...etc. Various factor effects mutually and hard to reasonable control. This paper makes use of the technique of virtual apparatus to set up on-line detection and control system of sugar boiling process, making use of the high definition of the virtual apparatus and the characteristics of easy to progress data handling, making the monitor system to have strong data amendment and analyzed processing abilities. At the same time the super saturation of confection is used as the detection and the control objects in the article, which to research the method to eliminate Brix and temperature effect of confection when measures the super saturation with method of conductance in sugar boiling process. Adopt the artificial neural network method to deal with the output of super saturation sensor by data fusion method. Using the measured value of electrical-conductivity sensor, measured value of Brix and temperatures as the inputs, the network is trained by improvement BP algorithm to achieve the comparatively precision and stabilization 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 temperatures has influenced on the super saturation. Combine virtual technique of apparatus and data fusion techniques can useful exaltation the on-line detection and control techniques in sugar boiling process, carry out its process optimization control. [ABSTRACT FROM AUTHOR]