Lasso regression method for inverting particle size distribution by virtue of light scattering method

Abstract

The invention discloses a lasso regression method for inverting particle size distribution by virtue of a light scattering method. According to the lasso regression method, the particle size distribution of particles in a measured region is obtained by virtue of known information including laser wavelength, relative index of refraction and scattered light intensity data and the like. The lasso regression method mainly aims at situations that the distribution data of the scattered light intensity in an actual measurement system can be obtained by virtue of a measuring device, and the particle sizes are unknown and need to be inverted in the dust particle detection by virtue of a light scattering method. The lasso regression method mainly aims at ill-posed problem that the search calculation in the inversion of the particle sizes for the measurement of the particle sizes is easily caught in local optimum and optical energy distribution coefficient matrixes. Under the condition of inadequate prior information, compared with a traditional inversion method, the method has the advantage that the result obtained through inversion is relatively reliable.

Description

Technical field [0001] The invention relates to the field of light scattering detection signal detection for small particles, in particular to a holster regression method for inversion of particle size distribution by light scattering method. Background technique [0002] With the development of industry, the dense urban population, and the rapid increase in the use of fossil fuels such as coal and oil, the quality of the air environment is deteriorating day by day, and air pollution has become one of the main hazards affecting the world environment and human health. A large number of studies have shown that the degree of correlation between smaller particles and human health hazards is significantly higher than that of larger particles, and that fine particles and ultrafine particles are far more harmful to human health than coarse particles. Inhalable particulate matter (PM10, PM2.5) as the culprit of haze weather has become the main indicator of daily air quality. Inhalable p...

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Problems solved by technology

At present, there is no analytical solution to this kind of problem at home and abroad, so the inversion algorithm is the core of particle measurement. A linear equation system is used to characterize the relationship between the diffraction light intensity distribution and the particle size distribution. Due to its serious , the condition number is large, it is difficult to use conventional algorithms to solve

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