Method and device for measuring the content of oversize particles in a sample of particles based on a laser particle sizer

Abstract

The present application relates to a method for measuring the content of oversize particles in a particle sample based on a laser particle size analyzer, by presetting the minimum particle size of oversize particles, calculating the peak position of the light energy distribution of the minimum particle size, that is, the sequence number I of the detection unit corresponding to the peak, based on the sequence number I of the detection unit, finding the signal containing oversize particles in N frames of light energy distribution signals, separating the signal containing oversize particles from the N frames of light energy distribution signals, and respectively calculating the particle size distribution corresponding to the signal containing oversize particles and the signal not containing oversize particles, based on the percentage particle size D 90 The proportion of oversize particles in the particle size distribution corresponding to the signal containing oversize particles is calculated, and the content of oversize particles is finally calculated. The calculation method of the present application can effectively distinguish the signal containing oversize particles first, and then calculate the content of oversize particles in the signal containing oversize particles, which can avoid the problem of low sensitivity in detecting the content of oversize particles in the prior art.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of laser particle size analyzers, and in particular to a method and device for measuring the content of super-large particles in a particle sample based on a laser particle size analyzer. BACKGROUND

[0002] A laser particle size analyzer is a scientific instrument for measuring the particle size distribution of various particle samples according to the principle of laser diffraction (static light scattering), and has the advantages of convenient use, fast measurement speed, and good repeatability, and has been widely used in industrial production and scientific research. However, the existing commercial laser particle size analyzers have a disadvantage: they cannot reliably give the content of particles with a particle size outside the main peak of the particle size distribution, and with a low content (for example, 0.1%). In the actual application of particle materials, the average particle size and the distribution width (uniformity of particle size) shown by the main peak of the particle size distribution are very important, and sometimes the content of particularly coarse particles (hereinafter referred to as "super-large particles") outside the main peak of the particle size distribution has a great impact on the safety of the application of the particle material. For example, super-large particles in polishing powder can scratch the workpiece being polished, resulting in the workpiece being scrapped; super-large particles in the positive electrode material of a power battery can grow into dendrites during repeated charging and discharging, and pierce the battery separator. How to quantitatively measure the content of super-large particles in a particle material is a technical problem in the field of particle size measurement, and is also a problem that current laser particle size analyzers have not solved.

[0003] The principle will now be analyzed as follows:

[0004] The working principle of a laser particle size analyzer is shown in the accompanying Figure 1 The laser beam emitted from the laser 1 becomes a pure parallel light after passing through the beam processing unit 2, and propagates towards the Fourier lens 5. When the particles 14 to be measured flow through the measurement area, the laser beam will irradiate the particles, and light scattering occurs. The scattered light is focused on the same point of the detector array 6 after passing through the Fourier lens 5. Each unit of the detector array 6 independently and linearly converts the received scattered light into an electrical signal, and transmits it to the data acquisition card 7. The data acquisition card 7 has the functions of signal amplification and A / D conversion. The number of channels is the same as the number of independent units of the detector array, and they correspond one-to-one. The data acquisition card 7 converts the analog electrical signals transmitted by the detector 6 into digital signals, and then transmits them to the computing device 8. The ordered arrangement (from small angle to large angle) of the signals output by each channel represents the distribution of the scattered light energy of the particles in the measurement area 9. The data acquisition card 7 adopts a parallel sampling mode for each channel, so any group of signals (hereinafter referred to as "a frame") output by the data acquisition card 7 represents the distribution of the scattered light produced by all the particles in the measurement area 9 at a certain moment, denoted as

[0005] (s 1,j ,s 2,j ,…,s M,j)

[0006] where M represents the total number of detection units of the detector array 6, j = 1, 2,..., N represents the frame number, and N represents the total number of frames of signals collected for measuring one particle sample. In a conventional laser particle size analyzer, the average scattered light energy distribution of N frames of signals is first calculated and denoted as

[0007]

[0008] where

[0009]

[0010] The average value of the scattered light energy distribution can be written in vector form as

[0011]

[0012] The full particle size range of the instrument is divided into L particle size sections, denoted as

[0013] d0~d1, d1~d2,..., d L-1 ~d L

[0014] The computing device 8 calculates the scattering matrix S of the instrument in advance according to the optical parameters of the laser particle size analyzer and the refractive indices of the measured particles and the dispersion medium.

[0015]

[0016] Each column of the matrix represents the scattered light energy distribution of one particle size section. Assuming that the particle size distribution (i.e., the particle volume content in each particle size section) of the measured particle sample is

[0017] V L =(v1, v2,..., v L )

[0018] Then, there are

[0019]

[0020] where and are the transpose matrices of S M and V L , respectively. After obtaining the average value S M of the scattered light energy distribution of the measured particle sample, the particle size distribution V L of the measured sample can be obtained through equation (2) and an inversion algorithm.

[0021] The content of the super large particles in the sample to be measured is very low. The probability of the super large particles appearing in the measuring area is very low during the sampling of the scattered light of the particles in the measuring area 9 by the laser particle size analyzer, so the number of times that the scattered light of the super large particles is captured by the data acquisition card is also very small. The signal of the super large particles is easily ignored when the signal is processed according to the conventional method.

[0022] The following is an example:

[0023] Suppose that there is a sample with a particle size distribution complying with the normal logarithmic law, and the distribution curve is as shown in Figure 2 D 50 is 6.05 μm, D 10 and D 90 are 2.98 μm and 12.25 μm respectively. The size of the cross section diameter 11 of the measuring beam is 8 mm, the width 10 of the particle flow is 4 mm, and the area of the measuring area 9 is about 28 mm 2 . Suppose that the refractive index of the particles is 1.52, and the dispersion medium is air (i.e. dry measurement), so the scattering coefficient of the particles is about 2. Suppose that the light shielding ratio during the measurement is typically 10%, so the projected area of the particles in the measuring area is

[0024]

[0025] The number of particles in the measuring area 9 can be calculated as 1.61 x 10 5 , and the total volume of the particles in the measuring area 9 is 4.86 x 10 -3 mm 3 . Suppose that there is a super large particle 13 in the measuring area, and the diameter of the super large particle is 50 μm, so the volume of the super large particle is 6.54 x 10 -5 mm 3 , and the ratio of the volume of the super large particle to the total volume of the particles in the measuring area 9 is 1.33%. Under a reasonable instrument structure, the scattered light energy collected by the instrument is proportional to the volume of the particles, so the signal strength of the super large particle accounts for 1.33% of the total scattered light intensity. If the volume content of the super large particles is one ten-thousandth, the probability of the super large particles appearing in the measuring area is

[0026]

[0027] That is, on average, only once in 133 times of data sampling can the data of the large particles be sampled. After the scattered light signals of all frames are averaged by using formula (1), the signal strength of the super large particles accounts for 0.75% x 1.33% = 0.0001, i.e. one ten-thousandth, of the total scattered light intensity. The instrument cannot recognize the scattered signal of the super large particles which is so weak. SUMMARY

[0028] The present application aims to at least solve one of the deficiencies of the prior art, to provide a method and device for measuring the content of oversized particles in a particle sample based on a laser particle size analyzer.

[0029] To achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0030] Specifically, a method for measuring the content of oversized particles in a particle sample based on a laser particle size analyzer is proposed, which comprises the following steps:

[0031] Step 110, N effective samplings are performed to obtain N frames of scattered light energy distribution signals, ensuring that the data acquisition card can sample each unit of the photodetector in parallel, and the frame frequency is high enough to ensure that all particles flow through the measurement area at least once;

[0032] Step 120, the minimum particle size of oversized particles is preset, and the peak position of the scattered light energy distribution of the minimum particle size, i.e. the detection unit serial number corresponding to the peak, is calculated, denoted as I;

[0033] Step 130, based on the detection unit serial number I, the signals containing oversized particles in the N frames of scattered light energy distribution signals are found out, assuming that there are U frames in total, then the signals not containing oversized particles have N-U frames in total, the average scattered light energy distribution of the U frames of signals is calculated respectively, and is denoted as and the average scattered light energy distribution of the N-U frames of signals is denoted as

[0034] Step 140, based on the inverse calculation of the particle size distribution corresponding to the signals containing oversized particles based on the inverse calculation of the particle size distribution corresponding to the signals not containing oversized particles

[0035] Step 150, the percentage particle size D is calculated 90 , based on the calculation result, the oversized particle ratio δ in is calculated, and the volume content of oversized particles in the particle sample is

[0036] Further, specifically, in the step 130, the method for finding out the signals containing oversized particles in the N frames of scattered light energy distribution signals based on the detection unit serial number I comprises,

[0037] the average value of the N frames of scattered light energy distribution signals is calculated to obtain the average scattered light energy distribution of the N frames of scattered light energy distribution signals

[0038]

[0039] Each frame of the N-frame scattered light energy distribution signal is compared with its average scattered light energy distribution. When the value of the first and subsequent units of any frame signal is higher than the value of the same unit in the average scattered light energy distribution, the frame signal is considered to contain a super-large particle signal. Based on this, all signals containing super-large particles in the N-frame scattered light energy distribution signal are found.

[0040] Furthermore, specifically, the sampling frame rate should be at least greater than 1kHz.

[0041] Furthermore, specifically, calculations based on the calculation results The proportion of ultra-large particles δ in the content includes,

[0042] In the design calculation results Percentage particle size D 90 If it falls within the k-th particle size range, it is calculated using the following formula. The proportion of ultra-large particles δ in the middle

[0043]

[0044] in and All of them have been normalized, that is

[0045] Furthermore, the method also includes calculating the particle size distribution of the ultra-large particles based on the proportion δ of ultra-large particles. The value of each element is

[0046]

[0047] Where i = 1, 2, ..., L,

[0048] Calculate the overall particle size distribution V of the sample. L The value of each element is

[0049]

[0050] Where i = 1, 2, ..., L.

[0051] This invention also proposes a device for measuring the content of ultra-large particles in particulate samples based on a laser particle size analyzer, comprising:

[0052] The sampling data acquisition module is used to enable the laser particle size analyzer to perform N effective samplings to obtain N frames of scattered light energy distribution signals, ensuring that the data acquisition card can sample each unit of the photodetector in parallel, and that the acquisition frame frequency is high enough to ensure that all particles are sampled at least once when they flow through the measurement area.

[0053] The peak detection unit calculation module is used to obtain the minimum particle size of the preset ultra-large particles, and calculate the peak position of the scattered light energy distribution of the minimum particle size based on the minimum particle size, that is, the detection unit number corresponding to the peak, denoted as I;

[0054] The average scattered light energy calculation module is used to find signals containing super-large particles in N frames of signals based on the detector unit number I. Assuming there are U frames in total, there are NU frames containing signals without super-large particles. The average scattered light energy distribution of each of the U frames is calculated and denoted as a vector. The average scattered light energy distribution of the NU frame signal is denoted in vector form as follows:

[0055] The first particle size distribution calculation module is used to calculate the particle size distribution based on the above. Inversion calculation of the particle size distribution corresponding to the signal containing ultra-large particles Based on the above Inversion calculation of the particle size distribution corresponding to the signal without ultra-large particles

[0056] The ultra-large particle content calculation module is used to calculate... Percentage particle size D 90 Calculate based on the calculation results If the proportion of ultra-large particles is δ, then the volume content of ultra-large particles is:

[0057] Furthermore, specifically, the average scattered light energy calculation module includes,

[0058] The ultra-large particle signal determination unit is used to calculate the average value of the N frames of scattered light energy distribution signals, and obtain the average scattered light energy distribution of the N frames of scattered light energy distribution signals.

[0059]

[0060] Each frame of the N-frame scattered light energy distribution signal is compared with its average scattered light energy distribution. When the value of the first and subsequent units of any frame signal is higher than the value of the same unit in the average scattered light energy distribution, the frame signal is considered to contain a super-large particle signal. Based on this, the super-large particle signal in the N-frame scattered light energy distribution signal is found.

[0061] Furthermore, specifically, calculations based on the calculation results The proportion of ultra-large particles δ in the content includes,

[0062] In the design calculation results Percentage particle size D 90 If it falls within the k-th particle size range, it is calculated using the following formula. The proportion of ultra-large particles δ in the middle

[0063]

[0064] wherein and are normalized, i.e.

[0065] Further, the device further comprises,

[0066] a second particle size distribution calculation module, configured to calculate a particle size distribution of the oversized particles based on the oversized particle proportion δ,

[0067] the value of each element of which is

[0068]

[0069] wherein i = 1, 2, …, L,

[0070] calculate the particle size distribution V of the sample population L the value of each element of which is

[0071]

[0072] wherein i = 1, 2, …, L.

[0073] The application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps of the method for measuring the content of oversized particles in a particle sample based on a laser particle size analyzer according to any one of the above.

[0074] The application has the following beneficial effects:

[0075] The application calculates the peak position of the light energy distribution of the minimum particle size of the oversized particles according to the minimum particle size of the oversized particles preset by the user, i.e. the peak value corresponding to the detection unit sequence number I, finds the signal containing the oversized particles in the N frames of light energy distribution signals based on the detection unit sequence number I, separates the signal containing the oversized particles from the N frames of light energy distribution signals, and calculates the particle size distribution corresponding to the signal containing the oversized particles and the signal not containing the oversized particles respectively, calculates the oversized particle proportion in the particle size distribution corresponding to the signal containing the oversized particles based on the percentage particle size D 90 of the particle size distribution corresponding to the signal not containing the oversized particles, and finally calculates the content of the oversized particles, the particle size distribution of the oversized particles, and the overall particle size distribution of the particle sample containing the oversized particles. The application can avoid the problem that the sensitivity of the detection of the content of the oversized particles in the prior art is not high. BRIEF DESCRIPTION OF DRAWINGS

[0076] ​To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of this application. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0077] Figure 1 The diagram shown illustrates the working principle of the laser particle size analyzer mentioned in the background section of the present invention's method for measuring the content of ultra-large particles in a particle sample using a laser particle size analyzer.

[0078] Figure 2 The figure shown is an example of the distribution curve of a sample whose particle size distribution conforms to the normal logarithmic law in the method of measuring the content of ultra-large particles in a particle sample based on a laser particle size analyzer according to the present invention.

[0079] Figure 3 The figure shown is a graph of the scattered light energy of a signal containing an ultra-large particle in Example 1 of the method for measuring the content of ultra-large particles in a particle sample based on a laser particle size analyzer according to the present invention.

[0080] Figure 4 The figure shown is a scattered light distribution curve of a 50μm particle in the field of view in Example 1 of the method for measuring the content of ultra-large particles in a particle sample based on a laser particle size analyzer according to the present invention.

[0081] Figure 5 The figure shown is a particle size distribution curve of ultra-large particles in the field of view in Example 1 of the method for measuring the content of ultra-large particles in a particle sample based on a laser particle size analyzer according to the present invention.

[0082] Figure 6 The flowchart shown is a method for measuring the content of ultra-large particles in a particle sample based on a laser particle size analyzer, according to the present invention. Detailed Implementation

[0083] The following will provide a clear and complete description of the concept, specific structure, and technical effects of the present invention in conjunction with embodiments and accompanying drawings, so as to fully understand the purpose, solution, and effects of the present invention. It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. The same reference numerals used throughout the accompanying drawings indicate the same or similar parts.

[0084] Reference Figure 1 as well as Figure 6 Example 1: This invention proposes a method for measuring the content of ultra-large particles in particulate samples based on a laser particle size analyzer, comprising the following:

[0085] Step 110: Perform N effective samplings to obtain N frames of scattered light energy distribution signals, ensuring that the data acquisition card can sample each unit of the photodetector in parallel, and that the acquisition frame frequency is high enough to ensure that all particles are sampled at least once when they flow through the measurement area.

[0086] Step 120: Obtain the minimum particle size of the preset ultra-large particles, and calculate the peak position of the scattered light energy distribution of the minimum particle size, i.e., the detection unit number corresponding to the peak, denoted as I;

[0087] Step 130: Based on the detection unit number I, find the signals containing super-large particles in the N frames of scattered light energy distribution signals. Let there be a total of U frames, then there are a total of NU frames containing signals without super-large particles. Calculate the average scattered light energy distribution of the U frame signals for each frame, denoted as a vector. And the average scattered light energy distribution of the NU frame signal, denoted in vector form as

[0088] Step 140, based on the above Inversion calculation of the particle size distribution corresponding to the signal containing ultra-large particles Based on the above Inversion calculation of the particle size distribution corresponding to the signal without ultra-large particles When performing the inversion here, equation (2) mentioned in the background art can be used for the inversion calculation;

[0089] Step 150, Calculation Percentage particle size D 90 Calculate based on the calculation results If the proportion of ultra-large particles is δ, then the volume content of ultra-large particles is:

[0090] In this embodiment 1, the actual effect of the present invention is demonstrated through the following specific simulation experiments.

[0091] As shown in the attached document Figure 1 The laser particle size analyzer with the shown optical structure has a beam cross-sectional diameter (11) of 8 mm. The particles being measured flow rapidly from top to bottom through the measurement area. The width (10) of the particle flow is 4 mm, and the area of ​​the measurement area (9) is approximately 28 mm². Assume the particle size distribution of the main body of the particles being measured (excluding oversized particles) is as follows... Figure 2 As shown, D50 is 6.05 μm, D10 and D90 are 2.98 μm and 12.25 μm, respectively. The particle refractive index is 1.52, and the dispersion medium is air (i.e., dry method measurement). A 300 mm sample was used for measurement. 3The particle sample is placed on the hopper 3 of the sampler. The light-blocking ratio is adjusted to approximately 10% by regulating the feed rate and the pressure of the dispersing airflow 4. The instrument's data sampling frame rate is 10kHz, and the measurement is completed within 20 seconds. Therefore, calculations show that the time required for the particles to pass through the measurement area is approximately 3.24 × 10⁻⁶. -4 Each particle has a chance to capture scattered light 3.24 times. If the measured 300mm... 3 If the sample contains 100 ultra-large particles with a diameter of 50 μm, then the scattered light energy distribution signal containing these ultra-large particles will have a maximum of 324 frames (assuming no two ultra-large particles are captured simultaneously), while the total number of frames in the light energy distribution signal is 2.00 × 10⁻⁶. 5 In a frame, meaning the total number of frames of scattered light energy distribution signals acquired by the instrument, only 0.162% contain ultra-large particle signals. The scattered light curves that do not contain ultra-large particle information are shown below. Figure 3 The dashed line in the image shows the scattered light energy curve containing a super-large particle in the signal, as shown in the image. Figure 3 As shown by the solid line in the middle.

[0092] Calculate the scattered light distribution curve of a 50 μm particle (see...) Figure 4 From this, we can see that the peak position is at unit 15. By comparing the light energy values ​​from units 1 to 15, it is easy to identify the scattered light energy curve containing the super-large particles, totaling 324 frames. Averaging all the scattered light distribution data containing the super-large particles yields the average scattered light distribution containing the super-large particles. Using equation (2) mentioned in the background technology and inversion calculation, particle size distribution data containing ultra-large particles are obtained. Curve Figure 5 The average scattered light distribution data without superlarge particles is obtained by averaging all scattered light distribution data. Using equation (2) and inversion calculation, particle size distribution data excluding ultra-large particles are obtained. Curve Figure 2 . use and Based on the numerical value and formula (3), the volume content of ultra-large particles in a frame containing ultra-large particles can be calculated to be 1.33%. The total volume content of ultra-large particles in the sample is...

[0093]

[0094] It is evident that this invention has extremely high sensitivity for measuring ultra-large particles.

[0095] In a preferred embodiment of the present invention, specifically, step 130, the method for finding signals containing ultra-large particles in N frames of scattered light energy distribution signals based on the detection unit number I, includes:

[0096] Calculate the average value of the N frames of scattered light energy distribution signals to obtain the average scattered light energy distribution of the N frames of scattered light energy distribution signals (the average value of the N frames of scattered light energy distribution signals can be calculated using equation (1) mentioned in the background art).

[0097]

[0098] Each frame of the N-frame scattered light energy distribution signal is compared with its average scattered light energy distribution. When the value of the first and subsequent units of any frame signal is higher than the value of the same unit in the average scattered light energy distribution, the frame signal is considered to contain a super-large particle signal. Based on this, the super-large particle signal in the N-frame scattered light energy distribution signal is found.

[0099] In a preferred embodiment of the present invention, the sampling frame rate should be at least greater than 1 kHz.

[0100] As a preferred embodiment of the present invention, specifically, calculation is performed based on the calculation results. The proportion of ultra-large particles δ in the content includes,

[0101] In the design calculation results Percentage particle size D 90 If it falls within the k-th particle size range, it is calculated using the following formula. The proportion of ultra-large particles δ in the middle

[0102]

[0103] in and All of them have been normalized, that is

[0104] In a preferred embodiment of the present invention, the method further includes, based on the ultra-large particle ratio δ,

[0105] Calculate the particle size distribution of ultra-large particles The value of each element is

[0106]

[0107] Where i = 1, 2, ..., L,

[0108] Calculate the overall particle size distribution V of the sample. L The value of each element is

[0109]

[0110] Where i = 1, 2, ..., L.

[0111] Example 2: This invention also proposes a device for measuring the content of ultra-large particles in a particle sample based on a laser particle size analyzer, comprising:

[0112] The sampling data acquisition module is used to enable the laser particle size analyzer to perform N effective samplings to obtain N frames of scattered light energy distribution signals, ensuring that the data acquisition card can sample each unit of the photodetector in parallel, and that the acquisition frame frequency is high enough to ensure that all particles are sampled at least once when they flow through the measurement area.

[0113] The peak detection unit calculation module is used to obtain the minimum particle size of the preset ultra-large particles and calculate the peak position of the scattered light energy distribution of the minimum particle size, that is, the detection unit number corresponding to the peak, denoted as I;

[0114] The average scattered light energy calculation module is used to find signals containing super-large particles in N frames of scattered light energy distribution signals based on the detector unit number I. Assuming there are U frames in total, there are NU frames containing signals without super-large particles. The module then calculates the average scattered light energy distribution of each of the U frames, denoted as a vector. And the average scattered light energy distribution of the NU frame signal, denoted in vector form as

[0115] The first particle size distribution calculation module is used to calculate the particle size distribution based on the above. Inversion calculation of the particle size distribution corresponding to the signal containing ultra-large particles Based on the above Inversion calculation of the particle size distribution corresponding to the signal without ultra-large particles

[0116] The ultra-large particle content calculation module is used to calculate... Percentage particle size D 90 Calculate based on the calculation results If the proportion of ultra-large particles is δ, then the volume content of ultra-large particles is:

[0117] In this second embodiment, an apparatus corresponding to the method of the present invention is proposed. The method of the present invention is presented in the form of a hardware structure. When this apparatus is run, it can achieve the same purpose as the method of the present invention.

[0118] In a preferred embodiment of the present invention, specifically, the average scattered light energy calculation module includes,

[0119] The ultra-large particle signal determination unit is used to calculate the average value of the N frames of scattered light energy distribution signals, and obtain the average scattered light energy distribution of the N frames of scattered light energy distribution signals.

[0120]

[0121] Each frame of the N-frame scattered light energy distribution signal is compared with its average scattered light energy distribution. When the value of the first and subsequent units of any frame signal is higher than the value of the same unit in the average scattered light energy distribution, the frame signal is considered to contain a super-large particle signal. Based on this, the super-large particle signal in the N-frame scattered light energy distribution signal is found.

[0122] As a preferred embodiment of the present invention, specifically, calculation is performed based on the calculation results. The proportion of ultra-large particles δ in the content includes,

[0123] In the design calculation results Percentage particle size D 90 If it falls within the k-th particle size range, it is calculated using the following formula. The proportion of ultra-large particles δ in the middle

[0124]

[0125] in and All of them have been normalized, that is

[0126] In a preferred embodiment of the present invention, the device further includes,

[0127] The second particle size distribution calculation module is used to calculate the particle size distribution based on the aforementioned ultra-large particle ratio δ.

[0128] Calculate the particle size distribution of ultra-large particles The value of each element is

[0129]

[0130] Where i = 1, 2, ..., L,

[0131] Calculate the overall particle size distribution V of the sample. L The value of each element is

[0132]

[0133] Where i = 1, 2, ..., L.

[0134] The present invention also proposes a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method for measuring the content of ultra-large particles in a particle sample based on a laser particle size analyzer as described in any of the above.

[0135] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of the solution in this embodiment, depending on actual needs.

[0136] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0137] If the integrated module is implemented as a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electrical carrier signals and telecommunication signals.

[0138] Although the description of the invention has been quite detailed and particularly of several described embodiments, it is not intended to limit it to any of these details or embodiments or any particular embodiment, but should be considered as providing a broad possible interpretation of the claims by referring to the appended claims and taking into account the prior art, thereby effectively covering the intended scope of the invention. Furthermore, the invention has been described above with respect to embodiments foreseeable by the inventors in order to provide a useful description, and non-substantial modifications to the invention that have not yet been foreseen may still represent equivalent modifications.

[0139] The above description is merely a preferred embodiment of the present invention. The present invention is not limited to the above-described embodiments. Any embodiment that achieves the technical effects of the present invention using the same means should fall within the protection scope of the present invention. Within the protection scope of the present invention, various modifications and variations can be made to the technical solutions and / or implementation methods.

Claims

1. A method for measuring the content of ultra-large particles in a particle sample based on a laser particle size analyzer, characterized in that, Including the following: Step 110: Perform N effective samplings to obtain N frames of scattered light energy distribution signals, ensuring that the data acquisition card can sample each unit of the photodetector in parallel, and that the acquisition frame frequency is high enough to ensure that all particles are sampled at least once when they flow through the measurement area. Step 120: Calculate the peak position of the scattered light energy distribution of the minimum particle size according to the preset minimum particle size, that is, the detection unit number corresponding to the peak value, denoted as I; Step 130: Based on the detection unit number I, find the signals containing super-large particles in the N frames of scattered light energy distribution signals. Let there be a total of U frames, then there are a total of NU frames containing signals without super-large particles. Calculate the average scattered light energy distribution of each of the U frames, denoted as a vector. The average scattered light energy distribution of the NU frame signal is denoted in vector form as follows: Step 140, based on the above Inversion calculation of the particle size distribution corresponding to the signal containing ultra-large particles Based on the above Inversion calculation of the particle size distribution corresponding to the signal without ultra-large particles Step 150, Calculation Percentage particle size D 90 Calculate based on the calculation results If the proportion of ultra-large particles is δ, then the volume content of ultra-large particles in the particle sample is:

2. The method for measuring the content of ultra-large particles in a particle sample based on a laser particle size analyzer according to claim 1, characterized in that, Specifically, in step 130, the method for finding signals containing ultra-large particles in the N frames of scattered light energy distribution signals based on the detection unit number I includes: Calculate the average value of the N frames of scattered light energy distribution signals to obtain the average scattered light energy distribution of the N frames of scattered light energy distribution signals. Each frame of the N-frame scattered light energy distribution signal is compared with the average scattered light energy distribution. When the value of the first and subsequent units of any frame signal is higher than the value of the same unit in the average scattered light energy distribution, the frame signal is considered to contain a super-large particle signal. Based on this, the super-large particle signal in the N-frame scattered light energy distribution signal is found.

3. The method for measuring the content of ultra-large particles in a particle sample based on a laser particle size analyzer according to claim 1, characterized in that, Specifically, the sampling frame rate should be at least greater than 1kHz.

4. The method for measuring the content of ultra-large particles in a particle sample based on a laser particle size analyzer according to claim 1, characterized in that, Specifically, calculation based on the calculation results The proportion of ultra-large particles δ in the content includes, In the design calculation results Percentage particle size D 90 If it falls within the k-th particle size range, it is calculated using the following formula. The proportion of ultra-large particles δ in the middle in and All of them have been normalized, that is 5. The method for measuring the content of ultra-large particles in a particle sample based on a laser particle size analyzer according to claim 1, characterized in that, The method further includes, based on the ultra-large particle ratio δ, Calculate the particle size distribution of ultra-large particles The value of each element is Where i = 1, 2, ..., L, Calculate the overall particle size distribution V of the sample. L The value of each element is Where i = 1, 2, ..., L.

6. A device for measuring the content of ultra-large particles in a particle sample based on a laser particle size analyzer, characterized in that, include, The sampling data acquisition module is used to enable the laser particle size analyzer to perform N effective samplings to obtain N frames of scattered light energy distribution signals, ensuring that the data acquisition card can sample each unit of the photodetector in parallel, and that the acquisition frame frequency is high enough to ensure that all particles are sampled at least once when they flow through the measurement area. The peak detection unit calculation module is used to obtain the minimum particle size of the preset ultra-large particles, and calculate the peak position of the scattered light energy distribution of the minimum particle size based on the minimum particle size, that is, the detection unit number corresponding to the peak, denoted as I; The average scattered light energy calculation module is used to find signals containing super-large particles in N frames of signals based on the detector unit number I. Assuming there are U frames in total, there are NU frames containing signals without super-large particles. The average scattered light energy distribution of each of the U frames is calculated and denoted as a vector. The average scattered light energy distribution of the NU frame signal is denoted in vector form as follows: The first particle size distribution calculation module is used to calculate the particle size distribution based on the above. Inversion calculation of the particle size distribution corresponding to the signal containing ultra-large particles Based on the above Inversion calculation of the particle size distribution corresponding to the signal without ultra-large particles The ultra-large particle content calculation module is used to calculate... Percentage particle size D 90 Calculate based on the calculation results If the proportion of ultra-large particles is δ, then the volume content of ultra-large particles is:

7. The device for measuring the content of ultra-large particles in a particle sample based on a laser particle size analyzer according to claim 6, characterized in that, Specifically, the average scattered light energy calculation module includes, The ultra-large particle signal determination unit is used to calculate the average value of the N frames of scattered light energy distribution signals, and obtain the average scattered light energy distribution of the N frames of scattered light energy distribution signals. Each frame of the N-frame scattered light energy distribution signal is compared with its average scattered light energy distribution. When the value of the first and subsequent units of any frame signal is higher than the value of the same unit in the average scattered light energy distribution, the frame signal is considered to contain a super-large particle signal. Based on this, the super-large particle signal in the N-frame scattered light energy distribution signal is found.

8. The device for measuring the content of ultra-large particles in a particle sample based on a laser particle size analyzer according to claim 6, characterized in that, Specifically, calculation based on the calculation results The proportion of ultra-large particles δ in the content includes, In the design calculation results Percentage particle size D 90 If it falls within the k-th particle size range, it is calculated using the following formula. The proportion of ultra-large particles δ in the middle in and All of them have been normalized, that is 9. The device for measuring the content of ultra-large particles in a particle sample based on a laser particle size analyzer according to claim 6, characterized in that, The device also includes, The second particle size distribution calculation module is used to calculate the particle size distribution based on the aforementioned ultra-large particle ratio δ. Calculate the particle size distribution of ultra-large particles The value of each element is Where i = 1, 2, ..., L, Calculate the overall particle size distribution V of the sample. L The value of each element is Where i = 1, 2, ..., L.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1-5.

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