Soft-measurement of black liquor baume degree & its implementation

Wei Tang, Junmei Huang, Dan Liu, Mengxiao Wang
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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.
黑液甜度的软测量及其实现
针对黑液浓度值在线测量问题,提出了一种基于高斯核支持向量机(GSVM)的黑液浓度值软测量方案。该模型以蒸汽压力和白酒温度作为次要变量来预测黑液污染程度。以西门子S7-300为硬件和软件开发平台,设计了一种基于黑液泡度软测量技术的DCS系统。结果表明,该方法能较好地监测碱回收过程蒸发段黑液的变色程度,有效地控制鲜蒸汽的利用率,成功地达到降低造纸工业能耗的目的。
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