Standard Device Design for Matter Moisture Content Measurement Based on KNN Algorithm

LI Zi-he, LIU Sui-jun, LIU Ying, LIU Lei, LI Shao-hua, LIU Bin, YIN Xin, SHEN Xiao-yan, HU Jia-cheng

Packaging Engineering ›› 2023 ›› Issue (15) : 194-201.

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Packaging Engineering ›› 2023 ›› Issue (15) : 194-201. DOI: 10.19554/j.cnki.1001-3563.2023.15.025

Standard Device Design for Matter Moisture Content Measurement Based on KNN Algorithm

  • LI Zi-he1, SHEN Xiao-yan1, HU Jia-cheng1, LIU Sui-jun2, LIU Ying2, LIU Lei2, LI Shao-hua2, LIU Bin2, YIN Xin2
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Abstract

The work aims to design a standard device for matter moisture content measurement based on the short time drying method, in order to solve the problems of poor timeliness and improper installation of standard oven on production site. The device was mainly composed of a mobile chassis, a box, a moisture analyzer, a rechargeable battery, a power distribution board, an industrial touch screen computer and PC software. The prediction model of matter moisture content based on K-nearest neighbor (KNN) algorithm was established, and the correction relationship between the prediction results and the measurement results of standard oven method was obtained. The measurement experiment was carried out to the device with tobacco samples provided by the cigarette factory. When the measurement time was 30 min, the expanded uncertainty of the moisture content measurement result by the device was no more than 0.5%. This device can replace the oven method to monitor the moisture content of matters, and can also be used for the in-situ calibration of online moisture analyzer.

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LI Zi-he, LIU Sui-jun, LIU Ying, LIU Lei, LI Shao-hua, LIU Bin, YIN Xin, SHEN Xiao-yan, HU Jia-cheng. Standard Device Design for Matter Moisture Content Measurement Based on KNN Algorithm[J]. Packaging Engineering. 2023(15): 194-201 https://doi.org/10.19554/j.cnki.1001-3563.2023.15.025
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