CN105277473B - Bulky grain recognition methods in a kind of laser particle analyzer - Google Patents
Bulky grain recognition methods in a kind of laser particle analyzer Download PDFInfo
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- CN105277473B CN105277473B CN201510639750.8A CN201510639750A CN105277473B CN 105277473 B CN105277473 B CN 105277473B CN 201510639750 A CN201510639750 A CN 201510639750A CN 105277473 B CN105277473 B CN 105277473B
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Abstract
The present invention relates to bulky grain recognition methods in a kind of laser particle analyzer, comprise the following steps：By the laser intensity I/O signal and the scattered signal of each passage in the laser particle analyzer continuous acquisition stipulated time, and sequentially it is numbered；IO attenuation curves after being sorted from big to small according to the decay intensity of I/O signal, and recorded the original numbering of sorted signal；IO attenuation curves after sequence are handled, particle size distribution data is calculated.The inventive method is measured as proposing first, is corrected by the combination of light extinction method principle and Mie scattering method principles, then by mathematical measure for bulky grain, ensures the accuracy and repeatability during test, improves the accuracy of coarse granule measurement.
Description
Technical field
The present invention relates to a kind of laser particle analyzer identification technology, bulky grain identifies in specifically a kind of laser particle analyzer
Method.
Background technology
Laser particle analyzer uses laser diffraction analysis technology, grain size analysis measurement is carried out to sample particle, and measurement is tied
Fruit feeds back to control system in time, so as to realize the real-time analysis to particle size distribution and control.
Generally there is big in the deficiency in some sensitivity, especially sample for the measurement of bulky grain in laser particle analyzer
Scattered signal is caused discontinuously to occur when granule content is seldom, these signals are easy to by follow-up data filtering, data averagely etc.
Processing is ignored, and causes follow-up Inversion Calculation not have the information of bulky grain, also just cannot get the granularity distribution result of bulky grain.
The content of the invention
Sensitivity deficiency be present for measurement of the laser particle analyzer in the prior art to bulky grain, scattered signal discontinuously occurs
The deficiencies of, the technical problem to be solved in the present invention is to provide it is a kind of ensure test when accuracy with repeatability laser particle size
Bulky grain recognition methods in instrument.
In order to solve the above technical problems, the technical solution adopted by the present invention is：
Coarse granule recognition methods in a kind of laser particle analyzer of the present invention, comprises the following steps：
By the laser intensity I0 signals and the scattered signal of each passage in the laser particle analyzer continuous acquisition stipulated time,
And sequentially it is numbered；
I0 attenuation curves after being sorted from big to small according to the decay intensity of I0 signals, and after the good sequence of record
The original numbering of signal；
I0 attenuation curves after sequence are handled, particle size distribution data is calculated.
I0 attenuation curves after sequence are handled, calculates and comprises the following steps：
Interception sorted signal curve starts the signal data at flex point；
The part signal data of interception are done subtraction by the number order of its original next numbering signal adjacent thereto,
Obtain a series of signal difference, including scattered signal difference GDiff [m] [n] and deamplification difference I0Diff [m]；Wherein m is
Sampling number, n are detector quantity；
Granularity data accumulator ACC [x] .x0 ... xi, corresponding grain size grading section numbering are set；Xi accumulates for multichannel
Device, i≤n；
Take scattered signal difference GDiff [m] [n] and deamplification difference I0Diff [m]；
When m is not reaching to maximum, least square fitting is carried out to GDiff [m] [n], calculates its particle size distribution data,
Then volumetric concentration data are calculated with I0Diff [m] again；
According to volumetric concentration data and particle size distribution data, the particle diameter number of each particle size interval is calculated, it is corresponding to be added to
In granularity data accumulator ACC [x], particle size distribution data is obtained；
M=m+1, return takes scattered signal difference GDiff [m] [n] and deamplification difference I0Diff [m] step, until m
Reach maximum, terminate single treatment, calculating process.
The curve depth of I0 attenuation curves represents coarse granule particle size range, and curve depth is bigger to represent the upper of coarse granule particle diameter
Limit is bigger；The laser I0 deamplifications and the separation of fluctuation signal, coarse granule content are not got over that representative is fluctuated at point of inflexion on a curve
The deamplification fluctuated more is more, and the flex point of sorted signal is more rearward；Otherwise coarse granule content is fewer, and sorted signal turns
Point is more forward.
The invention has the advantages that and advantage：
1. the inventive method is measured as proposing first for bulky grain, by light extinction method principle and Mie scattering method principles
With reference to, then be corrected by mathematical measure, ensure the accuracy and repeatability during test.
2. coarse granule signal is all high-frequency signal before, is all filtered out after often filtering, and coarse granule test is inaccurate, and
The present invention filters without signal, to the independent processing of high-frequency signal, makes coarse granule information be fully retained, improves coarse granule
The accuracy of measurement.
Brief description of the drawings
Fig. 1 is the I0 attenuation curve figures being related in the inventive method；
Fig. 2 is the inventive method flow chart.
Embodiment
With reference to Figure of description, the present invention is further elaborated.
When bulky grain passes through laser particle analyzer detection zone, it is larger to block the area of light due to particle, can cause laser
Original light intensity I0 has an obvious decay, and the degree of particle diameter differential declines is different.This attenuation degree includes particle size
Information.
In the present embodiment, the scattering of one group of laser intensity I0 signal of continuous acquisition and each passage within a certain period of time is believed
Number, this group of signal is sorted from big to small according to I0 decay intensities, the I0 attenuation curves after being sorted.
As shown in figure 1, curve depth represents coarse granule particle size range, the bigger upper limit for representing coarse granule particle diameter of curve depth
Bigger, because laser attenuation value caused by the bigger particle of particle diameter is bigger, signal is higher, embodies on the curve after sequence
It is exactly that depth is bigger.
At point of inflexion on a curve represent be fluctuation laser I0 deamplifications and the separation of fluctuation signal, coarse granule do not contain
The deamplification of the more fluctuations of amount is more, is embodied in the flex point of sorted signal more rearward.Otherwise coarse granule content is fewer, row
The flex point of signal is more forward after sequence.
Acquisition process and parsing to signal curve and obtain particle size distribution data method flow it is as follows：
As shown in Fig. 2 bulky grain recognition methods comprises the following steps in laser particle analyzer of the present invention：
By the laser intensity I0 signals and the scattered signal of each passage in the laser particle analyzer continuous acquisition stipulated time,
And sequentially it is numbered；
I0 attenuation curves after being sorted from big to small according to the decay intensity of I0 signals, and after the good sequence of record
The original numbering of signal；
Interception sorted signal curve starts the signal data at flex point, is ready for granularity data calculating；
The part signal data of interception are done subtraction by the number order of its original next numbering signal adjacent thereto,
Obtain a series of signal difference, including scattered signal difference GDiff [m] [n] and deamplification difference I0Diff [m]；Scattering letter
Number difference is two-dimensional array, because scattered signal includes the data of multiple scattering angles, m is sampling number, and n is detector number
Amount；
Granularity data accumulator ACC [x] .x0 ... xi, corresponding grain size grading section numbering are set；
Take scattered signal difference GDiff [m] [n] and deamplification difference I0Diff [m]；
Judge whether m reaches maximum
Least square fitting is carried out to GDiff [m] [n], calculates its particle size distribution data, is then counted again with I0Diff [m]
Calculation obtains volumetric concentration data；
According to volumetric concentration data and particle size distribution data, the particle diameter number of each particle size interval is calculated, it is corresponding to be added to
In granularity data accumulator ACC [x], particle size distribution data is obtained.
The inventive method will overcome two defects in actual application, and one is position of the particle by detection zone light beam
When putting different, I0 attenuation degree is different, because the Gaussian Profile that laser light intensity is unevenly distributed.Another is per a period of time
Carving may be different by the bulky grain quantity of detection zone and particle diameter, caused by I0 attenuation degrees be also different.In order to overcome this two
Individual defect, present invention employs I0 decay intensities and scattered light intensity method of comparison, also scattering letter in curve solution procedure
Number Least squares inversion limit method, two methods solve two above-mentioned defects well in combination with use.
Claims (2)
1. bulky grain recognition methods in a kind of laser particle analyzer, it is characterised in that comprise the following steps：
By the laser intensity I0 signals and the scattered signal of each passage in the laser particle analyzer continuous acquisition stipulated time, and press
Sequencing is numbered；
I0 attenuation curves after being sorted from big to small according to the decay intensity of I0 signals, and recorded sorted signal
Original numbering；
I0 attenuation curves after sequence are handled, particle size distribution data is calculated；
I0 attenuation curves after sequence are handled, calculates and comprises the following steps：
Interception sorted signal curve starts the signal data at flex point；
The part signal data of interception are done subtraction by the number order of its original next numbering signal adjacent thereto, obtained
A series of signal difference, including scattered signal difference GDiff [m] [n] and deamplification difference I0Diff [m]；Wherein m is sampling
Number, n are detector quantity；
Granularity data accumulator ACC [x] .x0 ... xi, corresponding grain size grading section numbering are set；Xi is multichannel accumulator, i≤
n；
Take scattered signal difference GDiff [m] [n] and deamplification difference I0Diff [m]；
When m is not reaching to maximum, least square fitting is carried out to GDiff [m] [n], calculates its particle size distribution data, then
Volumetric concentration data are calculated with I0Diff [m] again；
According to volumetric concentration data and particle size distribution data, the particle diameter number of each particle size interval is calculated, it is corresponding to be added to granularity
In data accumulator ACC [x], particle size distribution data is obtained；
M=m+1, return takes scattered signal difference GDiff [m] [n] and deamplification difference I0Diff [m] step, until m reaches
Maximum, terminate single treatment, calculating process.
2. bulky grain recognition methods in the laser particle analyzer as described in claim 1, it is characterised in that：The curve of I0 attenuation curves
Depth represents coarse granule particle size range, and the upper limit of the bigger expression coarse granule particle diameter of curve depth is bigger；Represented at point of inflexion on a curve
The laser I0 deamplifications of fluctuation and the not separation of fluctuation signal, the deamplification of the more fluctuations of coarse granule content is more, row
The flex point of signal is more rearward after sequence；Otherwise coarse granule content is fewer, and the flex point of sorted signal is more forward.
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| CN105277473B true CN105277473B (en) | 2018-02-02 |
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| CN114235649A (en) * | 2021-12-20 | 2022-03-25 | 珠海真理光学仪器有限公司 | Particle diameter-thickness ratio measuring method and device based on laser particle sizer and storage medium |
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| JPH0786455B2 (en) * | 1986-07-18 | 1995-09-20 | 興和株式会社 | Particle measuring method and apparatus |
| JPS63259435A (en) * | 1987-04-15 | 1988-10-26 | Shimadzu Corp | Particle size distribution measurement |
| JP2862077B2 (en) * | 1996-08-28 | 1999-02-24 | 株式会社島津製作所 | Particle size distribution analyzer |
| CN103308432B (en) * | 2013-07-05 | 2015-06-24 | 河北工业大学 | Continuous spectrum scattering type particle measurement method |
| CN107101917A (en) * | 2014-12-16 | 2017-08-29 | 南京市计量监督检测院 | A kind of grain graininess and concentration light scattering measurements |
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