Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

December 30, 2023


Pages


DOI

Article

Construction of Reliability Evaluation Model of Cigarette Quality Supervision Measuring Instrument Based on Random Forest Algorithm

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Authors

Jia Wang Affiliation:
Zhangjiakou Cigarette Factory Co., Ltd., Zhangjiakou, Hebei, 075000, China.
, Xiayi Wang Affiliation:
Zhangjiakou Cigarette Factory Co., Ltd., Zhangjiakou, Hebei, 075000, China.
, Xuan lv Affiliation:
Zhangjiakou Cigarette Factory Co., Ltd., Zhangjiakou, Hebei, 075000, China.
, Zijuan Li Affiliation:
Zhangjiakou Cigarette Factory Co., Ltd., Zhangjiakou, Hebei, 075000, China.
, Haiyang Zhao Affiliation:
Zhangjiakou Cigarette Factory Co., Ltd., Zhangjiakou, Hebei, 075000, China.
, Fang Wang Affiliation:
Zhangjiakou Cigarette Factory Co., Ltd., Zhangjiakou, Hebei, 075000, China.
, Jixiang Li Affiliation:
College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin, 300222, China.
and Shiming Wang Affiliation:
College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin, 300222, China.


Abstract

This paper combines the cigarette quality supervision measurement project, summarizes the key instruments for cigarette quality supervision, constructs the reliability evaluation model of cigarette quality supervision measurement instruments, adopts the random forest method and carries out model optimization so as to solve the weights of quality evaluation indexes of cigarette quality supervision measurement instruments. The QTM comprehensive test bench is selected to measure the quality and circumference of the traceability comparison stick of cigarette physical inspection equipment and combined with the Random Forest optimization algorithm to analyze the impact of measurement repeatability on the moisture content of cigarettes. Using the normalized deviation evaluation method, we can compare the consistency of the detection results of the evaluation model of this paper with the detection results of the parent company. It is analyzed that the maximum permissible error of cigarette circumference is ±0.05, and the maximum permissible deviation of comparison Dmax is ±0.06. The circumference deviation of sample A is 0.04<0.06, the sample is qualified, and it is consistent with the testing results of the parent company.


Keywords

Random forest method, Comprehensive test bench, Measuring instrument, Evaluation model, 00A71


Citation

Wang, J., Wang, X., lv, X., Li, Z., Zhao, H., Wang, F., Li, J., & Wang, S. (2023). Construction of reliability evaluation model of cigarette quality supervision measuring instrument based on random forest algorithm. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.01705

Published by: Engineering Journals

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