Abstract
In order to explore the relationship between the process parameters of the super return section of the silk production line and the outlet temperature and moisture, and improve the process quality, the 2022 hard shell Yuxi formula tobacco leaf was used as the raw material. Temperature and moisture, and improve the process quality, the 2022 hard shell Yuxi formula tobacco leaf was used as the raw material. Based on Pearson correlation coefficient, the linear correlation between the super return section thin sheet flow rate, circulating air temperature, hot air temperature, steam flow rate, circulating air humidity, steam flow rate zone 1, steam flow rate zone 2, and the outlet temperature and moisture was analyzed, Then, according to the OOB estimation method of the Random forest algorithm, the importance of the six characteristic parameters is evaluated Then, according to the OOB estimation method of the Random forest algorithm, the importance of the six characteristic parameters is evaluated, and a Random forest prediction model is established to predict the outlet temperature and moisture of the super return section. Goodness of fit of the model is 84.3%, 71.3%, and the fitting effect is good, which can provide a certain reference value for in-depth research on the super return section of the silk production process.
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References
Liu, X., Chen, Z., Chen, J., et al.: Research on human-computer interaction interface design of tobacco filament production line. Electr. Autom. 42(2), 116–118 (2020)
Yan, S., Wang, X., Li, R., et al.: Research progress on the uniformity and influencing factors of cigarette charging process. Light Ind. Sci. Technol. 39(02), 28–32+71 (2023)
Wu, G.-Z.: Research and application of internal deflector device of leaf filament dosing machine. Equip. Manuf. Technol. (8), 159–160 (2014)
Wu, G.C., Ke, C.H.: A kind of rake nail inside the drum of leaf filament charging equipment, China. CN201320066636.7 (2013)
Wu, G.-Z., Zhang, X.-J.: A steam heating device for tobacco leaf filament dosing equipment, China, CN201320065179.X (2013)
Wang, X., Shin, X., Liu, Z., et al.: Evaluation of tobacco flavouring uniformity based on principal component analysis. China Tobacco J. 19(05), 33–42 (2013)
Zhou, C., Huang, G.: Design of ultra-low tar cigarettes. In: Proceedings of the National Symposium on Scientific and Technological Achievements in Reducing the Harmful Constituents of Cigarettes (Tobacco), China Tobacco Association, pp. 41–48. State Tobacco Monopoly Administration, Bei**g (1997)
Hu, J., Zhou, J., **ong, Y., et al.: Study on the effect of drying process parameters on the quality of post-drying leaf silk. China Tobacco J. 06, 24–29 (2007)
Wang, Z.-Y., Wang, J.-M., Wang, H.-N., et al.: Impact of roller drying process parameters on leaf silk quality based on uniform design. Tobacco Sci. Technol. (08), 5–8+26 (2011)
Liu, J.H., Xu, L., Ma, X.L., et al.: Influence weight analysis of filament making process parameters based on random forest regression. Tobacco Sci. Technol. 50(02), 63–71 (2017)
Zhang, X., Lai, X., Sun, J.: Research on the correlation analysis of tobacco roasting equipment parameter data based on random forest. Manuf. Autom. 41(08), 145–148 (2019)
Lu, P., Tian, Q., Li, R., et al.: Optimisation of leaf beating process parameters based on random forest algorithm. Anhui Agric. Sci. 50(20), 162–165 (2022)
**, J., Wang, Y., Zhang, P., et al.: Random forest and DE-ELM for the prediction of inlet moisture content of silk dryer. Control. Eng. 27(03), 532–539 (2020)
Breiman, L.: Out-of-bag estimation (2010). https://www.stat.berkeley.edu/~breiman/OOBestimation.pdf
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Ma, X., Hu, J., Lu, M., Chang, W., Huang, Y., Wen, J. (2024). Prediction and Research of Temperature and Humidity at the Outlet of Super Return Based on Random Forest Algorithm. In: Wang, Y., Yu, T., Wang, K. (eds) Advanced Manufacturing and Automation XIII. IWAMA 2023. Lecture Notes in Electrical Engineering, vol 1154. Springer, Singapore. https://doi.org/10.1007/978-981-97-0665-5_82
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DOI: https://doi.org/10.1007/978-981-97-0665-5_82
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