WO2015083284A1 - Dispositif de traitement de données pour mesure granulométrique, dispositif de mesure granulométrique pourvu de celui-ci, procédé de traitement de données pour mesure granulométrique, et programme de traitement de données pour mesure granulométrique - Google Patents

Dispositif de traitement de données pour mesure granulométrique, dispositif de mesure granulométrique pourvu de celui-ci, procédé de traitement de données pour mesure granulométrique, et programme de traitement de données pour mesure granulométrique Download PDF

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WO2015083284A1
WO2015083284A1 PCT/JP2013/082804 JP2013082804W WO2015083284A1 WO 2015083284 A1 WO2015083284 A1 WO 2015083284A1 JP 2013082804 W JP2013082804 W JP 2013082804W WO 2015083284 A1 WO2015083284 A1 WO 2015083284A1
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particle size
distribution data
refractive index
size distribution
light intensity
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PCT/JP2013/082804
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English (en)
Japanese (ja)
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俊幸 河野
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株式会社島津製作所
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Priority to PCT/JP2013/082804 priority Critical patent/WO2015083284A1/fr
Priority to JP2015551355A priority patent/JP6065127B2/ja
Publication of WO2015083284A1 publication Critical patent/WO2015083284A1/fr

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/02—Investigating particle size or size distribution
    • G01N15/0205—Investigating particle size or size distribution by optical means
    • G01N15/0211—Investigating a scatter or diffraction pattern
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/02—Investigating particle size or size distribution
    • G01N2015/0277—Average size only

Definitions

  • the present invention includes a data processing device for particle size distribution measurement for generating particle size distribution data based on light intensity distribution data obtained by receiving diffraction scattered light from a sample with a plurality of light receiving elements, and the same.
  • the present invention relates to a particle size distribution measuring apparatus, a particle size distribution measuring data processing method, and a particle size distribution measuring data processing program.
  • a particle size distribution measuring device for generating particle size distribution data by measuring the relationship between the particle size and the amount of particles contained in a sample is known (for example, see Patent Document 1 below).
  • the diffraction scattered light of the light irradiated on the sample is received by a plurality of light receiving elements, and the light intensity distribution data obtained thereby is calculated using a refractive index. Particle size distribution data can be generated.
  • the refractive index as described above is generally preset by an operator. In order to obtain accurate particle size distribution data, it is necessary to set the refractive index accurately. However, if the operator does not know the refractive index, it is difficult to set the refractive index accurately. Even if the operator obtains the refractive index according to the particle material from the literature, the diffraction scattered light changes even if the refractive index is the same depending on the particle shape, etc. It is not always accurate.
  • Patent Document 1 proposes a technique for automatically determining a refractive index range by performing calculation using a plurality of refractive indexes for one light intensity distribution data. Specifically, by performing calculation using a plurality of refractive indexes for one light intensity distribution data, the particle size distribution data corresponding to each refractive index is converted, and then the particle size distribution data is converted into the light intensity distribution. The refractive index range is automatically determined based on the degree of coincidence between the inversely converted light intensity distribution data and the original light intensity distribution data.
  • the optimum refractive index range is surely determined. Not limited to this, when the same sample is measured a plurality of times, different refractive index ranges may be determined.
  • the refractive index range determined by each measurement may be different.
  • the refractive index range determined by the measurement may be different.
  • the present invention has been made in view of the above circumstances, and a data processing device for particle size distribution measurement capable of determining a more optimal refractive index, a particle size distribution measuring device including the same, and data for particle size distribution measurement
  • An object is to provide a processing method and a data processing program for particle size distribution measurement.
  • the particle size distribution measuring apparatus includes a data input receiving unit, a particle size distribution data generating unit, and a refractive index determining unit.
  • the data input receiving unit receives input of a plurality of light intensity distribution data obtained by receiving diffraction scattered light from the same sample a plurality of times by a plurality of light receiving elements.
  • the particle size distribution data generation unit generates particle size distribution data corresponding to each refractive index by performing an operation using a plurality of refractive indexes on the plurality of light intensity distribution data.
  • the refractive index determination unit determines an optimal refractive index based on a plurality of refractive indexes used when generating particle size distribution data.
  • particle size distribution data corresponding to each refractive index is generated by performing calculations using a plurality of refractive indexes on a plurality of light intensity distribution data obtained from the same sample.
  • the optimum refractive index can be determined based on the plurality of refractive indexes used at that time.
  • a more optimal refractive index can be determined by determining the refractive index based on a plurality of light intensity distribution data instead of a single light intensity distribution data.
  • the particle size distribution data generation unit performs a calculation using a plurality of common refractive indexes on the plurality of light intensity distribution data, thereby obtaining a particle size corresponding to the plurality of refractive indexes for each light intensity distribution data.
  • Distribution data may be generated.
  • the particle size distribution measuring apparatus may further include a data comparison unit that compares particle size distribution data calculated from different light intensity distribution data using a common refractive index.
  • the refractive index determination unit may determine an optimal refractive index from the plurality of refractive indexes based on a comparison result by the data comparison unit.
  • a calculation using a plurality of common refractive indexes is performed, and by comparing each particle size distribution data generated thereby, a plurality of An optimum refractive index can be determined from the refractive indexes.
  • the particle size distribution data calculated from different light intensity distribution data using a common refractive index are compared, and for example, the refractive index used when generating the particle size distribution data having the highest degree of coincidence is used as the optimum refractive index. Therefore, a more optimal refractive index can be determined.
  • the particle size distribution data generation unit performs an operation on the plurality of light intensity distribution data using a plurality of refractive indexes selected within a predetermined numerical value range, thereby obtaining the light intensity distribution data for each light intensity distribution data. Particle size distribution data corresponding to a plurality of refractive indexes may be generated.
  • calculation is performed on a plurality of light intensity distribution data using only a plurality of refractive indexes selected within a predetermined numerical range according to components in the sample.
  • the optimum refractive index can be determined based on the plurality of refractive indexes used in the above. Since the numerical range of the refractive index is determined to some extent depending on the components in the sample, the optimum refractive index can be efficiently determined by using only a plurality of refractive indexes selected within the numerical range.
  • the particle size distribution measuring apparatus may further include a refractive index calculating unit that automatically calculates a refractive index corresponding to each of the plurality of light intensity distribution data.
  • the particle size distribution data generation unit uses a plurality of refractive indexes including a refractive index corresponding to each light intensity distribution data calculated by the refractive index calculation unit, for the plurality of light intensity distribution data. By performing the calculation, particle size distribution data corresponding to the plurality of refractive indexes may be generated for each light intensity distribution data.
  • calculation is performed on a plurality of light intensity distribution data using only a plurality of refractive indexes including a refractive index corresponding to each light intensity distribution data calculated automatically, and used at that time.
  • An optimum refractive index can be determined based on a plurality of refractive indexes.
  • the refractive index determination unit may determine an average refractive index value corresponding to each light intensity distribution data calculated by the refractive index calculation unit as an optimal refractive index.
  • the average refractive index value corresponding to each automatically calculated light intensity distribution data is determined as the optimum refractive index.
  • the refractive index values can be narrowed down to some extent, and by calculating the average value thereof, the optimal refractive index can be determined efficiently.
  • the refractive index determination unit may determine the refractive index having the highest appearance frequency as the optimum refractive index among the refractive indexes corresponding to the respective light intensity distribution data calculated by the refractive index calculation unit.
  • the refractive index having the highest appearance frequency among the refractive indexes corresponding to each light intensity distribution data automatically calculated is determined as the optimal refractive index.
  • the value of the refractive index can be narrowed down to some extent, so by selecting the refractive index with the highest appearance frequency from among them, the optimal refractive index can be determined efficiently. it can.
  • a particle size distribution measuring apparatus includes a light source that irradiates a sample with light, a plurality of light receiving elements that receive diffraction scattered light from the sample, and the data processing apparatus for particle size distribution measurement.
  • the particle size distribution data processing method includes a data input reception step, a particle size distribution data generation step, and a refractive index determination step.
  • the data input receiving step input of a plurality of light intensity distribution data obtained by receiving diffraction scattered light from the same sample by a plurality of light receiving elements a plurality of times is received.
  • the particle size distribution data generation step particle size distribution data corresponding to each refractive index is generated by performing an operation using a plurality of refractive indexes on the plurality of light intensity distribution data.
  • an optimum refractive index is determined based on a plurality of refractive indexes used when generating the particle size distribution data.
  • the particle size distribution data processing program causes a computer to function as a data input receiving unit, a particle size distribution data generating unit, and a refractive index determining unit.
  • the data input receiving unit receives input of a plurality of light intensity distribution data obtained by receiving diffraction scattered light from the same sample a plurality of times by a plurality of light receiving elements.
  • the particle size distribution data generation unit generates particle size distribution data corresponding to each refractive index by performing an operation using a plurality of refractive indexes on the plurality of light intensity distribution data. In the refractive index determination, an optimum refractive index is determined based on a plurality of refractive indexes used when generating the particle size distribution data.
  • the present invention it is possible to determine a more optimal refractive index by determining the refractive index based on a plurality of light intensity distribution data instead of one light intensity distribution data.
  • FIG. 1 is a diagram showing a configuration example of a particle size distribution measuring apparatus according to the first embodiment of the present invention.
  • This particle size distribution measuring apparatus is for generating particle size distribution data by measuring the relationship between the particle size and the amount of particles of a particle group contained in a sample, and is a measuring unit 1 for measuring a sample. It has.
  • the measurement unit 1 includes a light source 11, a condensing lens 12, a spatial filter 13, a collimator lens 14, a flow cell 15, a condensing lens 16, a photodiode array 17, and the like.
  • a sample to be measured is supplied to the flow cell 15 from a supply source such as a circulation sampler 2 in which an ultrasonic transducer is incorporated.
  • the light source 11 is composed of, for example, a laser light source, and the measurement light emitted from the light source 11 becomes parallel light by passing through the condenser lens 12, the spatial filter 13, and the collimator lens 14.
  • the measurement light thus converted into parallel light is applied to the flow cell 15 to which the sample is supplied, diffracted and scattered by the particle group included in the sample in the flow cell 15, and then passed through the condenser lens 16 to obtain a photo.
  • Light is received by the diode array 17.
  • the photodiode array 17 constitutes a detector for detecting diffraction scattered light from the sample.
  • a plurality of (for example, 64) light receiving elements in which ring-shaped or semi-ring-shaped detection surfaces having different radii are formed are arranged concentrically around the optical axis of the condenser lens 16.
  • the detection signal of each light receiving element of the photodiode array 17 represents the intensity of light at each diffraction scattering angle.
  • the detection signals of the respective light receiving elements of the photodiode array 17 are converted from analog signals to digital signals by the A / D converter 3 and then input to the data processing device 5 via the communication unit 4. .
  • light intensity distribution data in which the element number of each light receiving element of the photodiode array 17 is associated with the detected intensity in each light receiving element is input to the data processing device 5.
  • the data processing device 5 constitutes a data processing device for particle size distribution measurement for processing data when measuring the particle size distribution of the sample.
  • the data processing device 5 is configured by a computer, for example, and includes a control unit 51, an operation unit 52, a display unit 53, a storage unit 54, and the like.
  • the control unit 51 includes, for example, a CPU (Central Processing Unit), and each unit such as an operation unit 52, a display unit 53, and a storage unit 54 is electrically connected.
  • the operation unit 52 includes, for example, a keyboard and a mouse, and the user can perform input work and the like by operating the operation unit 52.
  • the display unit 53 can be configured by, for example, a liquid crystal display, and the user can work while confirming the display content of the display unit 53.
  • the storage unit 54 can be configured by, for example, a ROM (Read Only Memory), a RAM (Random Access Memory), a hard disk, and the like.
  • FIG. 2 is a block diagram for explaining a specific configuration of the data processing device 5 of FIG.
  • the control unit 51 includes a data input reception unit 511, a particle size distribution data generation unit 512, a refractive index selection unit 513, a data comparison unit 514, a refractive index determination unit 515, and a display process when the CPU executes a program. It functions as the unit 516 or the like.
  • a light intensity distribution data storage unit 541 and a particle size distribution data storage unit 542 are allocated to the storage unit 54.
  • the light intensity distribution data storage unit 541 stores light intensity distribution data input from the measurement unit 1.
  • the control unit 51 generates a plurality of particle size distribution data based on the plurality of light intensity distribution data stored in the light intensity distribution data storage unit 541, and stores the particle size distribution data in the particle size distribution data storage unit 542.
  • a plurality of light intensity distribution data are obtained by performing measurement a plurality of times by the measurement unit 1. Specifically, an operation of introducing a sample into the circulation sampler 2 and performing measurement a plurality of times (for example, three times) using the sample is performed a plurality of times (for example, by replacing the same sample with the circulation sampler 2). 3 times) Repeatedly. As a result, diffracted and scattered light from the same sample is received by the light receiving elements of the photodiode array 17 a plurality of times, and a plurality (9 in this example) of light intensity distribution data is stored in the light intensity distribution data storage unit 541.
  • the measurement unit 1 Specifically, an operation of introducing a sample into the circulation sampler 2 and performing measurement a plurality of times (for example, three times) using the sample is performed a plurality of times (for example, by replacing the same sample with the circulation sampler 2). 3 times) Repeatedly.
  • diffracted and scattered light from the same sample is received by the light receiving elements of the
  • the data input receiving unit 511 receives input of a plurality of light intensity distribution data stored in the light intensity distribution data storage unit 541 when generating the particle size distribution data.
  • the particle size distribution data generation unit 512 generates particle size distribution data corresponding to each refractive index by performing a calculation using a plurality of refractive indexes on the plurality of light intensity distribution data.
  • the generated plurality of particle size distribution data is stored in the particle size distribution data storage unit 542.
  • the refractive index selection unit 513 selects a plurality of refractive indexes used when the particle size distribution data generation unit 512 generates the particle size distribution data.
  • the refractive index selection unit 513 selects a plurality of refractive indexes within a predetermined numerical range, and the particle size distribution data generation unit 512 generates particle size distribution data using these refractive indexes. ing.
  • the refractive index selection unit 513 can select a plurality of refractive indexes by, for example, extracting a refractive index at predetermined intervals within the above numerical range.
  • the numerical range may be, for example, a numerical range input by operating the operation unit 52 or a numerical range determined based on a component in the sample input by operating the operating unit 52. Good.
  • s, q and A are represented by the following formulas (2) to (4).
  • the s is light intensity distribution data (vector).
  • the q is particle size distribution data (vector) expressed as a frequency distribution%.
  • the particle size range to be measured maximum particle size is x 1 , minimum particle size is x n + 1
  • each particle size interval is [x j , x j + 1 ]
  • J 1, 2,..., N
  • A is a coefficient matrix for converting the particle size distribution data q into the light intensity distribution data s.
  • each element a i, j in A can be theoretically calculated in advance using the refractive index.
  • the particle diameter is sufficiently larger than the wavelength of the measurement light from the light source 11 (for example, 10 times or more), it can be calculated using Fraunhofer diffraction theory.
  • the particle diameter is about the same as or smaller than the wavelength of the measurement light from the light source 11, it can be calculated using Mie scattering theory.
  • the particle size distribution data q can be obtained by the following equation (6) based on the equation (1).
  • AT is a transposed matrix of A.
  • FIG. 3 is a diagram for explaining an aspect when generating particle size distribution data.
  • calculation using a plurality of common refractive indexes A, B, C,... Is performed for a plurality of light intensity distribution data a, b,.
  • the data comparison unit 514 compares the particle size distribution data calculated from different light intensity distribution data using a common refractive index.
  • the particle size distribution data a-1, b-1,... Calculated from the different light intensity distribution data a, b,.
  • the particle size distribution data a-2, b-2,... Calculated from the different light intensity distribution data a, b,.
  • the particle size distribution data a-3, b-3,... Calculated from the different light intensity distribution data a, b,.
  • Such processing is performed for all the refractive indexes A, B, C.
  • the refractive index determination unit 515 determines an optimum refractive index based on the plurality of refractive indexes A, B, C... Used when generating the particle size distribution data.
  • an optimum refractive index can be determined from a plurality of refractive indexes A, B, C... Based on the comparison result by the data comparison unit 514. For example, if the data comparison unit 514 is configured to calculate the degree of coincidence between the particle size distribution data to be compared, the refractive index used when generating the particle size distribution data having the highest degree of coincidence is set to the optimum refraction. What is necessary is just to determine as a rate.
  • the display processing unit 516 controls display on the display unit 53.
  • the display processing unit 516 may cause the display unit 53 to display the optimal refractive index determined by the refractive index determination unit 515, and display the particle size distribution data corresponding to the determined optimal refractive index on the display unit 53. It may be displayed.
  • FIG. 4 is a flowchart showing an example of processing by the control unit 51 when determining the refractive index.
  • each light intensity distribution data obtained from the same sample is input from the light intensity distribution data storage unit 541 (step S101: data input receiving step).
  • particle size distribution data corresponding to each refractive index is generated by performing calculation using a plurality of refractive indexes for each light intensity distribution data (step S102: particle size distribution data generation step).
  • step S103 data comparison step
  • step S104 the particle size distribution data having the highest degree of coincidence
  • step S105 refractive index determination step
  • a plurality of refractive indexes A, B, C,... are obtained for a plurality of light intensity distribution data a, b,.
  • particle size distribution data corresponding to each refractive index A, B, C... Is generated, and optimum based on a plurality of refractive indexes A, B, C.
  • the refractive index can be determined.
  • a more optimal refractive index can be determined.
  • calculation is performed on a plurality of light intensity distribution data a, b,... Using a plurality of common refractive indexes A, B, C.
  • an optimum refractive index can be determined from among a plurality of refractive indexes A, B, C.
  • the particle size distribution data calculated from different light intensity distribution data using a common refractive index is compared, and the refractive index used when generating the particle size distribution data having the highest degree of coincidence is set to the optimum refractive index.
  • a more optimal refractive index can be determined.
  • a plurality of light intensity distribution data using only a plurality of refractive indexes A, B, C... Selected within a predetermined numerical range according to, for example, components in the sample. .. are calculated, and an optimum refractive index can be determined based on a plurality of refractive indexes A, B, C... used at that time. Since the numerical range of the refractive index is determined to some extent according to the components in the sample, the optimum refractive index can be efficiently obtained by using only a plurality of refractive indexes A, B, C... Selected within the numerical range. Can be well determined.
  • FIG. 5 is a block diagram for explaining a specific configuration of the data processing device 5 according to the second embodiment of the present invention.
  • the control unit 51 executes a program executed by the CPU, so that the data input reception unit 511, the particle size distribution data generation unit 512, the data comparison unit 514, the refractive index determination unit 515, the display processing unit 516, and the refractive index calculation. It functions as the section 517 and the like.
  • the particle size distribution data generation unit 512 performs a calculation using a plurality of refractive indexes on a plurality of light intensity distribution data received from the light intensity distribution data storage unit 541 by the data input reception unit 511. Thus, particle size distribution data corresponding to each refractive index is generated. At this time, by using the relationship of the above formula (6), the particle size distribution data can be generated in the same manner as in the first embodiment.
  • the refractive index calculation unit 517 automatically calculates a refractive index corresponding to each of the plurality of light intensity distribution data based on the particle size distribution data generated by the particle size distribution data generation unit 512. Specifically, by using the same coefficient matrix A as the coefficient matrix A corresponding to each refractive index when generating the particle size distribution data, the relationship of the above formula (1) is used to convert each particle size distribution data into light. It converts into intensity distribution data, and compares the converted light intensity distribution data with the original light intensity distribution data. As a result, the refractive index corresponding to the coefficient matrix A used when converting the light intensity distribution data having the highest degree of coincidence is automatically calculated as the refractive index corresponding to the light intensity distribution data.
  • the particle size distribution data generation unit 512 uses the refractive index corresponding to each light intensity distribution data calculated by the refractive index calculation unit 517 to perform an operation on each light intensity distribution data again, thereby obtaining each refractive index. Generate particle size distribution data corresponding to. Also in this case, by using the relationship of the above formula (6), the particle size distribution data can be generated in the same manner as in the first embodiment. The generated plurality of particle size distribution data is stored in the particle size distribution data storage unit 542.
  • the particle size distribution data generation unit 512 is not limited to a configuration that generates particle size distribution data using only the refractive index corresponding to each light intensity distribution data calculated by the refractive index calculation unit 517. That is, the particle size distribution data generation unit 512 uses a plurality of refractive indexes including a refractive index corresponding to each light intensity distribution data calculated by the refractive index calculation unit 517 and other refractive indexes, to obtain particle size distribution data. May be configured to generate.
  • FIG. 6 is a diagram for explaining the process of automatically calculating the refractive index in the second embodiment.
  • light intensity distribution data a is obtained by performing calculations using a plurality of refractive indexes for a plurality of light intensity distribution data a, b,. , B,..., Particle size distribution data corresponding to a plurality of refractive indexes is generated.
  • the generated particle size distribution data is converted by using each refractive index when generating the particle size distribution data, and the converted light intensity distribution data and the original light intensity distribution data a and b are converted. , ... are compared.
  • the refractive indexes A, B,... Corresponding to the light intensity distribution data a, b,.
  • a ′, A ′′, and the like represent refractive index candidates that are used as comparison targets when the optimum refractive index A is automatically found from the light intensity distribution data a.
  • the refractive indexes A, B,... Automatically calculated in this way are used for processing by the particle size distribution data generation unit 512.
  • the particle size distribution data generation unit 512 generates particle size distribution data in the same manner as in FIG. 3 using the refractive indexes A, B,.
  • the data comparison unit 514 compares the particle size distribution data in the same manner as in FIG. 3, and the refractive index used when generating the particle size distribution data having the highest degree of coincidence is optimized by the refractive index determination unit 515.
  • the refractive index is determined.
  • FIG. 7 is a flowchart showing an example of processing by the control unit 51 in the second embodiment.
  • each light intensity distribution data obtained from the same sample is input from the light intensity distribution data storage unit 541 (step S201: data input receiving step).
  • particle size distribution data corresponding to each refractive index is generated by performing calculation using a plurality of refractive indexes for each light intensity distribution data (step S202: particle size distribution data generation step).
  • each particle size distribution data is converted, and the converted light intensity distribution data is compared with the original light intensity distribution data, so that the refractive index corresponding to each light intensity distribution data is automatically calculated based on the comparison result.
  • Step S203 Refractive index calculation step.
  • the subsequent processing is the same as the processing after step S102 in FIG.
  • the refractive index by determining the refractive index based on a plurality of light intensity distribution data a, b,.
  • the rate can be determined.
  • the particle size distribution data calculated from different light intensity distribution data using a common refractive index are compared, and the refraction used when generating the particle size distribution data having the highest degree of coincidence.
  • an optimum refractive index can be determined based on the plurality of refractive indexes A, B,.
  • the refractive index value can be narrowed down to some extent, so that the optimum refractive index can be efficiently determined from them.
  • FIG. 8 is a block diagram for explaining a specific configuration of the data processing device 5 according to the third embodiment of the present invention.
  • the control unit 51 in the present embodiment functions as a data input reception unit 511, a particle size distribution data generation unit 512, a refractive index determination unit 515, a display processing unit 516, a refractive index calculation unit 517, and the like when the CPU executes a program. To do.
  • the refractive index determining unit 515 determines the average value of the refractive index corresponding to each light intensity distribution data calculated by the refractive index calculating unit 517 as an optimal refractive index.
  • the data input reception unit 511, the particle size distribution data generation unit 512, the processing by the display processing unit 516 and the refractive index calculation unit 517, the data stored in the light intensity distribution data storage unit 541 and the particle size distribution data storage unit 542, etc. Is the same as in the case of the second embodiment. Therefore, about the same structure, the same code
  • FIG. 9 is a diagram for explaining the process of calculating the average value of the refractive index in the third embodiment.
  • calculations using a plurality of refractive indexes are performed on a plurality of light intensity distribution data a, b,.
  • the generated particle size distribution data is converted, and the converted light intensity distribution data is compared with the original light intensity distribution data a, b,.
  • Refractive indexes A, B,... Corresponding to the data a, b,.
  • a ′, A ′′, and the like represent refractive index candidates that are used as comparison targets when the optimum refractive index A is automatically found from the light intensity distribution data a.
  • B ′, B ′′, etc. This is a candidate for a refractive index to be compared when automatically finding the optimum refractive index B from the light intensity distribution data b.
  • the refractive indexes A, B,... Automatically calculated in this way are used for processing by the refractive index determining unit 515.
  • the refractive index determination unit 515 determines the average value of the refractive indexes A, B,. By automatically calculating the refractive indexes A, B,..., The refractive index values can be narrowed down to some extent. By calculating the average value thereof, the optimum refractive index can be determined efficiently. it can.
  • FIG. 10 is a flowchart showing an example of processing by the control unit 51 in the third embodiment.
  • each light intensity distribution data obtained from the same sample is input from the light intensity distribution data storage unit 541 (step S301: data input receiving step).
  • particle size distribution data corresponding to each refractive index is generated by performing calculation using a plurality of refractive indexes for each light intensity distribution data (step S302: particle size distribution data generation step).
  • each particle size distribution data is converted, and the converted light intensity distribution data is compared with the original light intensity distribution data, so that the refractive index corresponding to each light intensity distribution data is automatically calculated based on the comparison result.
  • Step S303 Refractive index calculation step
  • step S304 refractive index determination step
  • FIG. 11 is a flowchart showing an example of processing by the control unit 51 of the data processing device 5 according to the fourth embodiment of the present invention.
  • the processing by the refractive index determination unit 515 is different from the third embodiment, and the other processing and configuration are the same as those of the third embodiment.
  • each light intensity distribution data obtained from the same sample is input from the light intensity distribution data storage unit 541 (step S401: data input receiving step).
  • particle size distribution data corresponding to each refractive index is generated by performing calculation using a plurality of refractive indexes for each light intensity distribution data (step S402: particle size distribution data generation step).
  • each particle size distribution data is converted, and the converted light intensity distribution data is compared with the original light intensity distribution data, so that the refractive index corresponding to each light intensity distribution data is automatically calculated based on the comparison result.
  • Step S403 Refractive index calculation step.
  • the refractive index having the highest appearance frequency is determined as the optimal refractive index (step S404: refractive index determination step).
  • the optimum refractive index can be efficiently obtained by selecting the refractive index having the highest appearance frequency from among them. Can be well determined.
  • the appearance frequency means a ratio calculated as, for example, a refractive index value, and a refractive index value itself with a high calculated ratio may be determined or calculated as an optimal refractive index. An optimum refractive index may be determined within the range of the refractive index having a high ratio.
  • the configuration in which the data processing device 5 for generating the particle size distribution data is provided in the particle size distribution measuring device has been described.
  • the configuration is not limited to such a configuration, and a configuration in which the data processing device 5 is provided separately from the particle size distribution measuring device may be used.
  • the data output from the measuring unit 1 of the particle size distribution measuring device may be configured to be input to the data processing device 5 via wired communication or wireless communication, or may be a storage medium (not shown). The data may be once stored in () and then input to the data processing device 5 from the storage medium.
  • the computer functions as the data processing device for particle size distribution measurement.
  • the program may be provided in a state stored in a storage medium, or may be configured such that the program itself is provided via wired communication or wireless communication. .

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Abstract

Selon la présente invention, des données granulométriques correspondant à chacun d'une pluralité d'indices de réfraction (A, B …) sont générées en effectuant un calcul en utilisant les indices de réfraction (A, B …) sur chacune d'une pluralité de données de distribution d'intensité lumineuse (a, b …) obtenues à partir du même échantillon. Un indice de réfraction optimal est déterminé sur la base de la pluralité d'indices de réfraction (A, B …) qui ont été utilisés. La détermination d'indice de réfraction sur la base d'une pluralité de données de distribution d'intensité lumineuse (a, b …) de cette manière plutôt que sur la base d'une donnée de distribution d'intensité lumineuse unique permet d'optimiser davantage un indice de réfraction.
PCT/JP2013/082804 2013-12-06 2013-12-06 Dispositif de traitement de données pour mesure granulométrique, dispositif de mesure granulométrique pourvu de celui-ci, procédé de traitement de données pour mesure granulométrique, et programme de traitement de données pour mesure granulométrique WO2015083284A1 (fr)

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PCT/JP2013/082804 WO2015083284A1 (fr) 2013-12-06 2013-12-06 Dispositif de traitement de données pour mesure granulométrique, dispositif de mesure granulométrique pourvu de celui-ci, procédé de traitement de données pour mesure granulométrique, et programme de traitement de données pour mesure granulométrique
JP2015551355A JP6065127B2 (ja) 2013-12-06 2013-12-06 粒度分布測定用データ処理装置及びこれを備えた粒度分布測定装置、並びに、粒度分布測定用データ処理方法及び粒度分布測定用データ処理プログラム

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WO2020073862A1 (fr) 2018-10-10 2020-04-16 深圳市塔吉瑞生物医药有限公司 Composé de dihydroimidazopyrazinone, composition le comprenant et son utilisation

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JP2012063169A (ja) * 2010-09-14 2012-03-29 Shimadzu Corp 粒度分布測定装置

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JP3633169B2 (ja) * 1997-01-08 2005-03-30 株式会社島津製作所 回折／散乱光の光強度分布データの比較方法、および粒度分布測定装置
JP5088288B2 (ja) * 2008-10-21 2012-12-05 株式会社島津製作所 粒度分布測定装置および粒度分布測定プログラム

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012063169A (ja) * 2010-09-14 2012-03-29 Shimadzu Corp 粒度分布測定装置

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020073862A1 (fr) 2018-10-10 2020-04-16 深圳市塔吉瑞生物医药有限公司 Composé de dihydroimidazopyrazinone, composition le comprenant et son utilisation

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