Nanoparticle concentration and particle size estimation method and device

Abstract

The invention provides a nanoparticle concentration and particle size estimation method and device. The method comprises the following steps: according to the temperature of target nanoparticles and extinction coefficients under various wavelengths, determining first input information of a neural network model; inputting the first input information into the neural network model, and outputting the concentration and particle sizes of the target nanoparticles, wherein the neural network model is obtained by training, on the basis of second input information that is determined according to the temperature of sample nanoparticles and the extinction coefficients under various wavelengths, and an actual concentration and actual particle sizes of the sample nanoparticles. According to the method and the device, the input information of the neural network model is determined by combining the temperature of the target nanoparticles and the extinction coefficients under various wavelengths, and the neural network model can estimate the concentration and the particle sizes through the learned nonlinear relationship among the temperature, the extinction coefficients, the concentration and the particle sizes, so that the estimation efficiency is high, and the concentration and the particle sizes of the target nanoparticles can be accurately and conveniently obtained.

Description

technical field [0001] The invention relates to the technical field of dust particle measurement, in particular to a method and device for estimating the concentration and particle size of nanoparticles. Background technique [0002] With the rapid development of modern industrial society, nanoparticle technology has been widely used. However, with the increase of powder products in nanoparticles, the potential danger of dust explosion is greatly increased. How to reduce and prevent dust explosion accidents is a hot issue of global concern. Among them, real-time monitoring of dust concentration and particle size is the most direct and effective method to reduce and prevent dust explosion accidents, and response prevention measures can be given according to dust concentration and particle size. Therefore, rapid and accurate quantitative analysis of dust particle concentration and particle size is the focus of reducing and preventing dust explosion accidents. [0003] At pr...

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Problems solved by technology

[0005] The invention provides a method and device for estimating the concentration and particle size of nanoparticles, which is used to solve the problem that the multi-function least square method fitting in the prior art can only fit the linearity among the dust particle concentration, particle size and extinction coefficient. relationship, leading to low calculation accuracy defects, to achieve accurate estimation of nanoparticle concentration and particle size

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