Operation Optimization Model of the Heat Dispersion System Based on RF-SEGA Hybrid Algorithm
The thermal dispersion system is an important process unit for the reuse of waste paper in the pulping and papermaking process,and the effect of thermal dispersion treatment has a significant impact on the operating performance of the paper machine and the quality of pa-per products.Due to the performance variation of different waste papers,key indicators such as the content and size of adhesive,and fiber morphology in pulp cannot be quantified.The thermal dispersion system is difficult to achieve optimal operation,and there are some prob-lems such as large energy consumption,chemical waste,and pulp performance fluctuations.This study established an optimization model for the operation of a thermal dispersion system,based on the types and basis weight of paper for classification to establish an optimization mode database.The energy efficiency optimization model was established using the Random Forest(RF)algorithm and the Segregative Genetic Al-gorithm(SEGA).The results of actual production data verification showed that after model optimization,the optimization ranges of the oper-ating parameters of the thermal dispersion system were:torque 0～3%,temperature 0～4℃,and thermal dispersion machine power 0～50 kW.The optimization results were in line with the process adjustment range,indicating that the optimized model had good stability.After parame-ters adjusting for 4 times according to the model optimization values,the cumulative amount of adhesive decreased by about 6.36%,5.17%,4.25%,and 7.82%,respectively,compared to that before parameter adjustment;the comprehensive cost per ton of dry pulp had been re-duced by approximately 4.62%,3.55%,4.43%,and 4.36%,respectively.The results indicated that the optimized operation model of the thermal dispersion system was in line with actual production conditions,which could improve the dispersion effect of pulp and reduce the en-ergy consumption cost of thermal dispersion process.
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