OAM-RC

Abstract

To improve the photoelectric detection sensitivity and testing precision of industrial dust concentration, this paper proposes a new testing dust concentration method by using multi-laser photoelectric detection principle, establishes the multi-laser photoelectric detection testing model and gives the calculation function of dust concentration. According to the scattering characteristic of dust particles and the output current of photoelectric receiver, research and set up the bit error rate model of dust concentration testing system, analyze the relation of the signal to noise ratio and bit error rate; From the scattering radiation flux of dust particle and output current of photoelectric receiver in the dust concentration testing system of using multi-wavelength of laser, give the correlative function of actual dust concentration and bit error rate. Through the calculation and experiment analysis, the results shows that the bigger the wavelength of laser, the higher the signal to noise rate of photoelectric receiver, the smaller the bit error rate, and the more precise the testing data of dust concentration. By analyzing the experimental data of dust concentration in different detection distances and bit error rates, the results indicate the established bit error rate model is effective and reasonable in the short-distance dust concentration testing system..

Keywords

Dust concentration, Photoelectric detection sensitivity, Bit error rate, Testing precision.

Citation

XIAOQIAN ZHANG, ZHIYONG LEI, Dust concentration photoelectric detection bit error rate model and performance analysis, Optoelectronics and Advanced Materials - Rapid Communications, 12, 3-4, March-April 2018, pp.151-157 (2018).

Submitted at: Oct. 16, 2017

Accepted at: April 5, 2018