Non ideal particle classifying identification method based on laser Doppler measuring particle

A Doppler measurement and Doppler particle technology, applied in the field of particle measurement, can solve problems such as irregular shapes, inconsistencies in composition, and measurement errors

Inactive Publication Date: 2005-03-02
TIANJIN UNIV
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Problems solved by technology

However, the particle flow in the actual production process is mostly a mixed particle flow, its composition is inconsistent, its shape is irregular, and all the characteristic parameters of the particles can only satisfy a certain distribution. The existence of these factors may give the measurement Introduce errors, or limit the application of measurement methods and techniques

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  • Non ideal particle classifying identification method based on laser Doppler measuring particle
  • Non ideal particle classifying identification method based on laser Doppler measuring particle
  • Non ideal particle classifying identification method based on laser Doppler measuring particle

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Embodiment Construction

[0041] Table 1 is the description pattern of blood sample diameter and relative refractive index; in the table: columns represent different patterns of samples; rows represent different cell populations.

[0042] Table 1

[0043]

[0044] The blood cell identification implementation process:

[0045] 1. Use the laser Doppler measurement system to obtain particle diameter data x={x 1 , x 2 ,...,x N} and relative refractive index data y={y 1 ,y 2 ,...,y N}.

[0046]2. Establish an estimation model:

[0047] Since the particle size is mainly distributed on two diameter segments, it is assumed that the modes are respectively μ 1 ( x ) = e - ( x - x ...

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Abstract

A classified identification method of inperfect dust particle based on laser Doppler measuring particle belongs to particle measuring technique. Using laser phase Doppler particle measuring apparatus, dynamic information of characteristic parameter of moving particle is obtained, and classified identification method includes the following steps, organization of parameter of subject measured is built by measuring data to ensure fuzzy module of particle, use statistical characteristic to identify parameter of the subject, realizing classified identification method of inperfect particle by integrating several characteristic modules. Its advantages include: dispersed information of particle parameter can obtained by analyzing the data obtained from measurement using particle, result more accordant with practical characteristics of subject measured can be obtained by aiming at several characteristics of particle to do classified identification method, and inperfect characteristic of practical particle has no influence on measurement.

Description

technical field [0001] The invention relates to a non-ideal particle classification and identification method based on laser Doppler measurement particles, which belongs to the particle measurement technology. Background technique [0002] In metallurgy, chemical industry, medicine, environmental protection, meteorology, food, building materials, aerospace and many other technical fields, the characteristics of particles are directly related to work efficiency, product quality and production process. The dynamic information of its spatial distribution directly affects or even completely determines the heat, momentum and mass exchange in the process environment and the performance of various results generated therefrom. Therefore, the measurement of particle characteristics is extremely important in industrial production. There are many existing particle measurement techniques and instruments, but they all believe that the characteristics of the me...

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Application Information

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IPC IPC(8): G01N15/00G01N15/02G01N21/17
Inventor 曾周末张慧杜夏吕宏波靳世久
Owner TIANJIN UNIV
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