Soft Sensing and Optimization of Pesticide Waste Incinerator

  title={Soft Sensing and Optimization of Pesticide Waste Incinerator},
  author={Zhengbing Yan and Xinggao Liu},
  journal={2011 International Symposium on Advanced Control of Industrial Processes (ADCONIP)},
Three soft sensor models (RBF, SVM, ICA-SVM) are proposed to infer the Chemical Oxygen Demand (COD) of quench water produced from pesticide waste incinerator respectively. An optimization model of COD is further proposed based on the above soft sensor models. Furthermore, chaos genetic algorithm is introduced to solve the optimization model. The procedure is demonstrated and discussed for practical industrial cases, where the mean relative error of the proposed ICA-SVM model is 0.16% for COD… CONTINUE READING

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