Open AccessStudy on Dust Measurement Technology by Oscillating Balance Method
Author(s) -
Yanbo Tu,
Renyuan Tong,
Qing Li
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/440/4/042072
Subject(s) - signal (programming language) , reliability (semiconductor) , inductive sensor , inductance , harmonic balance , control theory (sociology) , oscillation (cell signaling) , harmonic , system of measurement , acoustics , interference (communication) , phase (matter) , modulation (music) , noise (video) , electronic engineering , electrical engineering , physics , voltage , computer science , power (physics) , engineering , channel (broadcasting) , control (management) , quantum mechanics , nonlinear system , artificial intelligence , astronomy , biology , image (mathematics) , genetics , programming language
By comparing the advantages and disadvantages of various dust measurement methods, the oscillating balance method is chosen to measure dust. According to the measuring principle of the oscillating balance method, a particle weighing device based on the oscillating balance method is developed. The device avoids the interference of temperature, humidity and mutual inductance to the magneto-electric speed sensor, improves the amplitude of the magneto-electric speed sensor to receive the oscillation signal, and improves the signal-to-noise ratio of the system as much as possible. According to the phase-frequency characteristics of the oscillating system, an overall structure of the system is designed. The system consists of a drive module, harmonic oscillator, measurement module, and phase-locked loop automatic phase modulation circuit and frequency measurement module. These five modules constitute a system that can automatically adjust the natural frequency. And the list confirms the accuracy of the frequency that is measured by FPGA and STM32 processor. The dust mass is calculated according to the formula. Finally, the reliability of the device is confirmed by a parallel comparison with the internationally recognized filter membrane weighing method. The reliability of the device is confirmed.