Design and Implementation of Paper Number Measurement Based on Improved Least Square Method
- DOI
- 10.2991/acsr.k.191223.013How to use a DOI?
- Keywords
- least square method, Sinusoidal curve fitting, oscillation frequency, STM32F103RCT6
- Abstract
In view of the weak capacitance generated by placing paper between two copper clad plates and the interference of strong parasitic capacitance around the wires connecting the measured capacitance and the measuring circuit, this paper proposes a design of measuring the number of paper based on improved least square method. The capacitance value is converted into oscillation frequency by 555 oscillation circuit, and the frequency is measured accurately by STM32F103RCT6 microcontroller. And an anti-interference unit is designed to eliminate parasitic capacitance interference, The paper frequency track was recorded in the early learning stage to eliminate the interference of temperature and humidity on the paper dielectric constant. According to the experimental data, the number and frequency relationship model was obtained by using the two-parameter sinusoidal curve fitting algorithm. The measured frequency in the current environment was recorded at the learning stage, and the paper number prediction model was constructed by parametric fitting of the relationship model according to the improved least square method. In the measurement stage through the frequency value accurately determine the number of paper.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jingli Li AU - Shiyao Cui AU - Jianhang Sun AU - Xinyue Zhou PY - 2019 DA - 2019/12/24 TI - Design and Implementation of Paper Number Measurement Based on Improved Least Square Method BT - Proceedings of the 2019 International Conference on Big Data, Electronics and Communication Engineering (BDECE 2019) PB - Atlantis Press SP - 55 EP - 58 SN - 2352-538X UR - https://doi.org/10.2991/acsr.k.191223.013 DO - 10.2991/acsr.k.191223.013 ID - Li2019 ER -