Backward elastic scattering spectral measurement analysis system and method for online detection of size distribution of small particles in suspension

Abstract

The invention discloses a backward elastic scattering spectral measurement analysis system and method for online detection of size distribution of small particles in a suspension. A linear array fiber probe and an off-axis parabolic reflector are used to construct a multi-angle spectral measurement system, and a spectral analysis method based on wavelet multi-scale analysis is utilized to provide quick and accurate acquisition for the size distribution of particles. The method may be used for real-time monitoring of the production of standard particle, detection of oil-in-water pollutants, granularity detection for milk products, study on particle structure in biological cells and the like. The system is simple, and analytical results are accurate.

Description

technical field [0001] The spectrum measurement and analysis method proposed by the invention belongs to the field of elastic scattering spectrum research and practical application of tiny particles. The existing spectrum acquisition methods are different, but the spectrum analysis method is basically the same, that is, the particle size and refractive index information can be obtained by comparing the measured spectrum with the theoretically calculated Mie scattering spectrum. Similar related technologies can be used for the quality inspection of standard particles, the study of particle structure in biological cells, and the detection of particle pollutants in aqueous solutions. Background technique [0002] The photoelastic scattering spectrum of tiny spherical medium particles has an analytical solution form, namely the Mie scattering formula, which can obtain accurate numerical results by common calculation programs. Therefore, comparing the measurement results with the...

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Problems solved by technology

These methods all need to establish a database with the average particle size and distribution variance as variables. Due to the large database, the calculation and analysis time is too long, so it is difficult to achieve the purpose of real-time analysis and measurement.

In addition, some of these analysis methods have similar spectral shapes and spectral distributions, and there will be large deviations when extracting particle sizes.

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