CN111707587A - Particle size statistical method - Google Patents
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- CN111707587A CN111707587A CN202010498936.7A CN202010498936A CN111707587A CN 111707587 A CN111707587 A CN 111707587A CN 202010498936 A CN202010498936 A CN 202010498936A CN 111707587 A CN111707587 A CN 111707587A
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- 239000002245 particle Substances 0.000 title claims abstract description 48
- 238000007619 statistical method Methods 0.000 title abstract description 7
- 238000000034 method Methods 0.000 claims abstract description 20
- 239000011435 rock Substances 0.000 claims abstract description 15
- 229910052500 inorganic mineral Inorganic materials 0.000 claims description 14
- 239000011707 mineral Substances 0.000 claims description 14
- 230000003287 optical effect Effects 0.000 claims description 14
- 238000004364 calculation method Methods 0.000 claims description 4
- YBJHBAHKTGYVGT-ZKWXMUAHSA-N (+)-Biotin Chemical compound N1C(=O)N[C@@H]2[C@H](CCCCC(=O)O)SC[C@@H]21 YBJHBAHKTGYVGT-ZKWXMUAHSA-N 0.000 claims description 3
- 238000005498 polishing Methods 0.000 claims description 3
- FEPMHVLSLDOMQC-UHFFFAOYSA-N virginiamycin-S1 Natural products CC1OC(=O)C(C=2C=CC=CC=2)NC(=O)C2CC(=O)CCN2C(=O)C(CC=2C=CC=CC=2)N(C)C(=O)C2CCCN2C(=O)C(CC)NC(=O)C1NC(=O)C1=NC=CC=C1O FEPMHVLSLDOMQC-UHFFFAOYSA-N 0.000 claims description 3
- 239000000463 material Substances 0.000 abstract description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008021 deposition Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000003921 particle size analysis Methods 0.000 description 1
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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
- G01N15/0227—Investigating particle size or size distribution by optical means using imaging; using holography
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/40—Image enhancement or restoration using histogram techniques
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- Dispersion Chemistry (AREA)
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Abstract
The invention belongs to the technical field of rock and ore identification, and particularly relates to a particle size statistical method for rock and ore. The invention comprises the following steps: step 1, calculating a scale factor; step 2, counting the diameters of the particles obtained by shooting; and 3, counting the actual diameter of the particles according to the scale factor determined in the step 1. The method has simple operation steps, can be completed on the basis of the existing equipment, and is convenient to realize; the statistical efficiency is high, and manpower and material resources are saved; the error is not easy to occur, and the accuracy is high; and the computer is taken as an auxiliary means, so that the later-stage review is facilitated.
Description
Technical Field
The invention belongs to the technical field of rock and ore identification, and particularly relates to a particle size statistical method for rock and ore.
Background
The particle size analysis of rock minerals is an important content of rock and ore identification, and has important significance for analysis of the cause, the deposition environment and the like of rocks. Currently, the judgment of the particle size of rock mineral particles mainly depends on a flake method, namely, the particle size of the particles is measured by a manual method under a microscope by using a cross wire with scales, the particle size is recorded in a paper table, and finally, the statistics is manually carried out. The method not only consumes time and energy and has low efficiency, but also is easy to generate statistical errors and has great difficulty in later-stage review.
Disclosure of Invention
The invention aims to provide a granularity statistical method which is simple in operation steps, high in statistical efficiency, not prone to error and convenient for later-stage review.
The technical scheme for realizing the purpose of the invention is as follows:
a method for particle size statistics, comprising the steps of:
step 1, calculating a scale factor; step 2, counting the diameters of the particles obtained by shooting; and 3, counting the actual diameter of the particles according to the scale factor determined in the step 1.
The step 1 comprises the following steps:
step 1.1, putting a graduated scale on a microscope objective table.
Step 1.2, shooting a picture of the graduated scale through an eyepiece of the microscope by using a digital camera or a video camera, and importing the picture into a computer;
and 1.3, calculating a scale factor.
In step 1.3, the calculation method of the scale factor S is as follows:
s is actual scale length/image scale length.
The step 2 comprises the following steps:
step 2.1, cutting, sticking and polishing the rock mineral specimen to prepare an optical slice, and placing the optical slice on a polarizing microscope objective table;
step 2.2, shooting a photo of the optical slice through an eyepiece of the microscope by using a digital camera or a video camera, and importing the photo into a computer;
step 2.3, drawing a straight line along the maximum diameter of the particles in the photo slice photos by using a straight line tool in vector drawing software, wherein the length of the straight line is equal to the length of the maximum diameter of the particles, and each photo is used for drawing the diameter of at least 300 mineral particles;
and 2.4, utilizing computer language programming to count the lengths L of all the straight lines.
The thickness of the scale needs to be the same as the thickness of the optical sheet.
In step 2.3, the vector software used is coreldaw and must include a VBA module.
In step 2.4, the computer language program used is VBA, and the obtaining code of the length l (i) of the ith straight line is as follows:
L(i)=ActiveSelectedRange.shapes(i).curve.length。
the step 3 comprises the following steps:
step 3.1, converting the actual diameter R of the particles by using a scale factor;
and 3.2, counting the actual diameter.
In the step 3.1, the calculation method of the actual particle size R is as follows:
R=L×S
in the step 3.2, the statistics of the diameter is performed by using a probability histogram of Excel.
The invention has the beneficial technical effects that:
(1) the method for counting the particle size of the rock mineral provided by the invention has the advantages that the operation steps are simple, the method can be completed on the basis of the existing equipment, and the realization is convenient;
(2) the method for counting the particle size of the rock mineral provided by the invention has high counting efficiency and saves manpower and material resources;
(3) the method for counting the particle size of the rock mineral is not easy to make mistakes and has high accuracy;
(4) the particle size statistical method for rock minerals provided by the invention takes a computer as an auxiliary means, and is convenient for later-stage review.
Detailed Description
The present invention will be described in further detail with reference to examples.
The invention provides a particle size statistical method, which comprises the following steps:
step 1, placing a graduated scale on a microscope objective table;
step 2, shooting a picture of the graduated scale through an eyepiece of the microscope by using a digital camera or a video camera, and importing the picture into a computer;
step 3, calculating a scale factor;
step 4, cutting, sticking and polishing the rock mineral specimen to prepare a light slice, and placing the light slice on an objective table of a polarizing microscope;
step 5, shooting a photo of the optical slice through an eyepiece of the microscope by using a digital camera or a video camera, and importing the photo into a computer;
step 6, drawing a straight line along the maximum diameter of the mineral particles in the photo of the light slice by using a straight line tool in vector drawing software, wherein the length of the straight line is equal to the length of the maximum diameter of the particles, and the diameter of at least 300 mineral particles needs to be drawn in each photo;
step 7, utilizing computer language programming to count the lengths of all straight lines drawn in the step 6;
8, converting the actual diameter of the particles by using a scale factor;
and 9, counting the actual diameter.
The specific operation method comprises the following steps:
step 1, placing a graduated scale (the minimum scale is 1mm) with the thickness basically the same as that of the optical thin slice on an objective table of a microscope;
step 2, shooting a picture of the graduated scale through an eyepiece of the microscope by using a digital camera or a video camera, and importing the picture into a computer;
step 3, calculating a scale factor S which is the actual scale length/the image scale length;
step 4, placing the optical slice on a polarizing microscope objective table;
step 5, shooting a photo of the optical slice through an eyepiece of the microscope by using a digital camera or a video camera, and importing the photo into a computer;
step 6, opening CorelDRAW, importing the photo of the optical sheet, drawing a straight line along the maximum diameter of the particles in the photo of the optical sheet by using a straight line tool, wherein the length of the straight line is equal to the length of the maximum diameter of the particles, and the diameter of at least 300 minerals is drawn in each photo;
step 7, a VBA programmer of CorelDRAW is replaced, and the following codes are written:
For i=1to ActiveSelectedRange.shapes.count
L(i)=ActiveSelectedRange.shapes(i).curve.length
Next i
in step 8, calculating the actual diameter of the particle by using R ═ L × S;
in step 9, particle size statistics is performed by using the probability histogram of Excel.
The present invention has been described in detail with reference to the embodiments, but the present invention is not limited to the embodiments, and various changes can be made without departing from the gist of the present invention within the knowledge of those skilled in the art. The prior art can be adopted in the content which is not described in detail in the invention.
Claims (9)
1. A method for particle size statistics, comprising: the method comprises the following steps:
step 1, calculating a scale factor; step 2, counting the diameters of the particles obtained by shooting; and 3, counting the actual diameter of the particles according to the scale factor determined in the step 1.
2. A method of particle size statistics according to claim 1, characterized by: the step 1 comprises the following steps:
step 1.1, putting a graduated scale on a microscope objective table.
Step 1.2, shooting a picture of the graduated scale through an eyepiece of the microscope by using a digital camera or a video camera, and importing the picture into a computer;
and 1.3, calculating a scale factor.
3. A method of particle size statistics according to claim 2, characterized by: in step 1.3, the calculation method of the scale factor S is as follows:
s is actual scale length/image scale length.
4. A method of particle size statistics according to claim 3, characterized by: the step 2 comprises the following steps:
step 2.1, cutting, sticking and polishing the rock mineral specimen to prepare an optical slice, and placing the optical slice on a polarizing microscope objective table;
step 2.2, shooting a photo of the optical slice through an eyepiece of the microscope by using a digital camera or a video camera, and importing the photo into a computer;
step 2.3, drawing a straight line along the maximum diameter of the particles in the photo slice photos by using a straight line tool in vector drawing software, wherein the length of the straight line is equal to the length of the maximum diameter of the particles, and each photo is used for drawing the diameter of at least 300 mineral particles;
and 2.4, utilizing computer language programming to count the lengths L of all the straight lines.
5. A method of particle size statistics according to claim 4, characterized by: the thickness of the scale needs to be the same as the thickness of the optical sheet.
6. A method of particle size statistics according to claim 4, characterized by: in step 2.3, the vector software used is coreldaw and must include a VBA module.
7. A method of particle size statistics according to claim 4, characterized by: in step 2.4, the computer language program used is VBA, and the obtaining code of the length l (i) of the ith straight line is as follows:
L(i)=ActiveSelectedRange.shapes(i).curve.length。
8. a method of particle size statistics according to claim 4, characterized by: the step 3 comprises the following steps:
step 3.1, converting the actual diameter R of the particles by using a scale factor;
and 3.2, counting the actual diameter.
9. A method of particle size statistics according to claim 8, characterized by: in the step 3.1, the calculation method of the actual particle size R is as follows:
R=L×S
in the step 3.2, the statistics of the diameter is performed by using a probability histogram of Excel.
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