CN112307733A - Pyrophyllite ore stacking method convenient for ore blending - Google Patents
Pyrophyllite ore stacking method convenient for ore blending Download PDFInfo
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Abstract
The invention discloses a pyrophyllite ore stacking method convenient for ore blending, which comprises the following steps: s1: the pyrophyllite ore before entering the factory is sampled, the content of ore elements is determined through chemical examination data, and the pyrophyllite ore element measurement data is gathered into an electronic form; s2: extracting an original measurement data spreadsheet for recording pyrophyllite ore element measurement data; s3: calculating and performing iterative computation by using an element background value of SPSS statistical analysis software based on the original measurement data worksheet to obtain a condition data worksheet for screening pyrophyllite ore element measurement data; according to the different contents of elements contained in pyrophyllite ore, the pyrophyllite ore heap with different grades is divided into a plurality of ore heaps with different grades, such as a high-aluminum pyrophyllite ore heap, a high-potassium-sodium pyrophyllite ore heap, a high-magnesium pyrophyllite ore heap, a high-calcium pyrophyllite ore heap and the like, and the ore heaps are combined with the topography of an ore piling field, so that the three-stage stepped pyrophyllite ore heaping method is designed to ensure the ordered and efficient implementation of the next ore blending process.
Description
Technical Field
The invention relates to the technical field of pyrophyllite ore blending, in particular to a pyrophyllite ore stacking method convenient for ore blending.
Background
The major mineral phase of pyrophyllite is pyrophyllite, kaolinite, dickite, the minor mineral phase is quartz, and the minor impurities are alunite, illite, montmorillonite, pyrite, kyanite, andalusite, and corundum. The quartz content fluctuates greatly, and some pyrophyllites contain more than 25% of stone pods, generally 5% -15%. When the quartz content is more than 25%, the pyrophyllite is singly used, and the wire drawing operation is abnormal; a small amount of impurities cannot be ignored, and when the amount of the impurities exceeds a certain amount, the viscosity fluctuation is easy to cause, and the flying of the wire drawing operation is increased. In order to improve the utilization rate of the pyrophyllite and reduce pollution, various pyrophyllites are matched for use. Two kinds of pyrophyllite are used together according to a certain proportion. If necessary, three or four pyrophyllite are matched.
However, the pyrophyllite is often piled together after entering a factory, the content of each element of an ore pile needs to be measured during ore blending, and then ore blending can be carried out in a matching manner, so that the ore blending efficiency of the pyrophyllite is greatly reduced by the ore blending manner.
Disclosure of Invention
The invention provides a pyrophyllite ore stacking method convenient for ore blending, which aims to solve the problem that the pyrophyllite needs to be measured before ore blending in the background technology.
The invention provides a pyrophyllite ore stacking method convenient for ore blending, which comprises the following steps:
s1: the pyrophyllite ore before entering the factory is sampled, the content of ore elements is determined through chemical examination data, and the pyrophyllite ore element measurement data is gathered into an electronic form;
s2: extracting an original measurement data spreadsheet for recording pyrophyllite ore element measurement data;
s3: calculating and performing iterative computation by using an element background value of SPSS statistical analysis software based on the original measurement data worksheet to obtain a condition data worksheet for screening pyrophyllite ore element measurement data; screening the pyrophyllite ore element measurement data by using the condition data worksheet to obtain a target pyrophyllite ore element measurement data set;
s4: compiling by using SPSS statistical analysis software based on the condition data worksheet to obtain a background value calculation worksheet for automatic iterative calculation; performing iterative computation on the target pyrophyllite ore element measurement data set by using the background value computation worksheet to obtain a background value computation result;
s5: compiling based on the original measurement data worksheet, the condition data worksheet and the background value calculation worksheet to obtain a statistical data worksheet;
s6: the method is divided into a high-aluminum pyrophyllite ore heap, a high-potassium-sodium pyrophyllite ore heap, a high-magnesium pyrophyllite ore heap and a high-calcium pyrophyllite ore heap according to element content, and each pyrophyllite ore heap is piled in a step shape in a mode of decreasing the element content.
Preferably, in S1, the pyrophyllite ore elementary measurement data includes sampling region, sampling type, and field data of pyrophyllite ore component participation calculation.
Preferably, the method of assaying data at S1 comprises;
s11: firstly, crushing raw ore, then finely grinding the raw ore in selective ore grinding equipment to separation granularity, and then roughly classifying and separating coarse concentrate and primary tailings by adopting a conventional wet method;
s12: sorting the rough concentrate and filtering to obtain bauxite concentrate;
s13: and performing secondary fine classification on the primary tailings to separate out final tailings and scavenging concentrate, and returning the scavenging concentrate to the coarse classification circulation.
Preferably, the raw ore crushing step described in S11 crushes the raw ore to 40 to 70 mesh using conventional equipment; fine grinding to 100-160 meshes in selective ore grinding equipment.
Preferably, the concentration of the coarse fraction in the S13 is 15-37%, and the separation particle size is 5-15 μm.
The pyrophyllite ore stacking method convenient for ore blending has the beneficial effects that: the pyrophyllite ore stacking method convenient for ore blending is divided into a plurality of ore piles with different grades, such as a high-aluminum pyrophyllite ore pile, a high-potassium-sodium pyrophyllite ore pile, a high-magnesium pyrophyllite ore pile, a high-calcium pyrophyllite ore pile and the like according to different contents of elements contained in the pyrophyllite ores, and a three-level step pyrophyllite ore stacking method is designed by combining the topography of a ore stacking field so as to ensure the orderly and efficient implementation of the next ore blending process.
Detailed Description
The invention is further illustrated by the following examples.
Example 1
The invention provides a pyrophyllite ore stacking method convenient for ore blending, which comprises the following steps:
s1: the pyrophyllite ore before entering a factory is sampled, the content of ore elements is determined through chemical examination data, and pyrophyllite ore element measurement data are gathered into an electronic form;
the method of assaying data comprises;
s11: firstly, crushing raw ore, then finely grinding the raw ore in selective ore grinding equipment to separation granularity, and then roughly classifying and separating coarse concentrate and primary tailings by adopting a conventional wet method;
the raw ore crushing step adopts conventional equipment to crush the raw ore to 40 meshes; finely grinding the mixture in selective ore grinding equipment to 100 meshes;
s12: sorting the rough concentrate and filtering to obtain bauxite concentrate;
s13: the primary tailings are subdivided and classified to separate out final tailings and scavenging concentrate, and the scavenging concentrate is returned to the coarse classification circulation; the coarse grading concentration is 15%, and the separation particle size is 5 μm
S2: extracting an original measurement data spreadsheet for recording pyrophyllite ore element measurement data;
s3: calculating and performing iterative computation by using an element background value of SPSS statistical analysis software based on the original measurement data worksheet to obtain a condition data worksheet for screening pyrophyllite ore element measurement data; screening the pyrophyllite ore element measurement data by using the condition data worksheet to obtain a target pyrophyllite ore element measurement data set;
s4: compiling by using SPSS statistical analysis software based on the condition data worksheet to obtain a background value calculation worksheet for automatic iterative calculation; performing iterative computation on the target pyrophyllite ore element measurement data set by using the background value computation worksheet to obtain a background value computation result;
s5: compiling based on the original measurement data worksheet, the condition data worksheet and the background value calculation worksheet to obtain a statistical data worksheet;
s6: the method is divided into a high-aluminum pyrophyllite ore heap, a high-potassium-sodium pyrophyllite ore heap, a high-magnesium pyrophyllite ore heap and a high-calcium pyrophyllite ore heap according to element content, and each pyrophyllite ore heap is piled in a step shape in a mode of decreasing the element content.
Example 2
The invention provides a pyrophyllite ore stacking method convenient for ore blending, which comprises the following steps:
s1: the pyrophyllite ore before entering a factory is sampled, the content of ore elements is determined through chemical examination data, and pyrophyllite ore element measurement data are gathered into an electronic form;
the method of assaying data comprises;
s11: firstly, crushing raw ore, then finely grinding the raw ore in selective ore grinding equipment to separation granularity, and then roughly classifying and separating coarse concentrate and primary tailings by adopting a conventional wet method;
the raw ore crushing step adopts conventional equipment to crush the raw ore to 55 meshes; finely grinding the mixture to 130 meshes in selective ore grinding equipment;
s12: sorting the rough concentrate and filtering to obtain bauxite concentrate;
s13: and performing secondary fine classification on the primary tailings to separate out final tailings and scavenging concentrate, and returning the scavenging concentrate to the coarse classification circulation. The concentration of the coarse fraction in the S13 is 21%, and the separation particle size is 10 μm;
s2: extracting an original measurement data spreadsheet for recording pyrophyllite ore element measurement data;
s3: calculating and performing iterative computation by using an element background value of SPSS statistical analysis software based on the original measurement data worksheet to obtain a condition data worksheet for screening pyrophyllite ore element measurement data; screening the pyrophyllite ore element measurement data by using the condition data worksheet to obtain a target pyrophyllite ore element measurement data set;
s4: compiling by using SPSS statistical analysis software based on the condition data worksheet to obtain a background value calculation worksheet for automatic iterative calculation; performing iterative computation on the target pyrophyllite ore element measurement data set by using the background value computation worksheet to obtain a background value computation result;
s5: compiling based on the original measurement data worksheet, the condition data worksheet and the background value calculation worksheet to obtain a statistical data worksheet;
s6: the method is divided into a high-aluminum pyrophyllite ore heap, a high-potassium-sodium pyrophyllite ore heap, a high-magnesium pyrophyllite ore heap and a high-calcium pyrophyllite ore heap according to element content, and each pyrophyllite ore heap is piled in a step shape in a mode of decreasing the element content.
Example 3
The invention provides a pyrophyllite ore stacking method convenient for ore blending, which comprises the following steps:
s1: the pyrophyllite ore before entering a factory is sampled, the content of ore elements is determined through chemical examination data, and pyrophyllite ore element measurement data are gathered into an electronic form;
the method of assaying data comprises;
s11: firstly, crushing raw ore, then finely grinding the raw ore in selective ore grinding equipment to separation granularity, and then roughly classifying and separating coarse concentrate and primary tailings by adopting a conventional wet method;
the raw ore crushing step adopts conventional equipment to crush the raw ore to 70 meshes; finely grinding the mixture in selective ore grinding equipment to 160 meshes;
in that
S12: sorting the rough concentrate and filtering to obtain bauxite concentrate;
s13: subdividing said primary tailings to separate final tailings and scavenged concentrate, returning scavenged concentrate to said coarse classification cycle, said coarse classification concentration in S13 being 37%, and the separation size being 15 μm;
s2: extracting an original measurement data spreadsheet for recording pyrophyllite ore element measurement data;
s3: calculating and performing iterative computation by using an element background value of SPSS statistical analysis software based on the original measurement data worksheet to obtain a condition data worksheet for screening pyrophyllite ore element measurement data; screening the pyrophyllite ore element measurement data by using the condition data worksheet to obtain a target pyrophyllite ore element measurement data set;
s4: compiling by using SPSS statistical analysis software based on the condition data worksheet to obtain a background value calculation worksheet for automatic iterative calculation; performing iterative computation on the target pyrophyllite ore element measurement data set by using the background value computation worksheet to obtain a background value computation result;
s5: compiling based on the original measurement data worksheet, the condition data worksheet and the background value calculation worksheet to obtain a statistical data worksheet;
s6: the method is divided into a high-aluminum pyrophyllite ore heap, a high-potassium-sodium pyrophyllite ore heap, a high-magnesium pyrophyllite ore heap and a high-calcium pyrophyllite ore heap according to element content, and each pyrophyllite ore heap is piled in a step shape in a mode of decreasing the element content.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (5)
1. A pyrophyllite ore stacking method convenient for ore blending is characterized by comprising the following steps:
s1: the pyrophyllite ore before entering the factory is sampled, the content of ore elements is determined through chemical examination data, and the pyrophyllite ore element measurement data is gathered into an electronic form;
s2: extracting an original measurement data spreadsheet for recording pyrophyllite ore element measurement data;
s3: calculating and performing iterative computation by using an element background value of SPSS statistical analysis software based on the original measurement data worksheet to obtain a condition data worksheet for screening pyrophyllite ore element measurement data; screening the pyrophyllite ore element measurement data by using the condition data worksheet to obtain a target pyrophyllite ore element measurement data set;
s4: compiling by using SPSS statistical analysis software based on the condition data worksheet to obtain a background value calculation worksheet for automatic iterative calculation; performing iterative computation on the target pyrophyllite ore element measurement data set by using the background value computation worksheet to obtain a background value computation result;
s5: compiling based on the original measurement data worksheet, the condition data worksheet and the background value calculation worksheet to obtain a statistical data worksheet;
s6: the method is divided into a high-aluminum pyrophyllite ore heap, a high-potassium-sodium pyrophyllite ore heap, a high-magnesium pyrophyllite ore heap and a high-calcium pyrophyllite ore heap according to element content, and each pyrophyllite ore heap is piled in a step shape in a mode of decreasing the element content.
2. The method for stacking pyrophyllite for convenient ore blending according to claim 1, wherein the method comprises the following steps: the pyrophyllite ore elementary measurement data includes sampling region, sampling type, and field data in which the pyrophyllite ore component participates in calculation in S1.
3. The method for stacking pyrophyllite for convenient ore blending according to claim 1, wherein the method comprises the following steps: the method of assaying data at S1 includes;
s11: firstly, crushing raw ore, then finely grinding the raw ore in selective ore grinding equipment to separation granularity, and then roughly classifying and separating coarse concentrate and primary tailings by adopting a conventional wet method;
s12: sorting the rough concentrate and filtering to obtain bauxite concentrate;
s13: and performing secondary fine classification on the primary tailings to separate out final tailings and scavenging concentrate, and returning the scavenging concentrate to the coarse classification circulation.
4. The method for stacking pyrophyllite for convenient ore blending according to claim 3, wherein the method comprises the following steps: the raw ore crushing step described in S11 crushes the raw ore to 40 to 70 mesh using conventional equipment; fine grinding to 100-160 meshes in selective ore grinding equipment.
5. The method for stacking pyrophyllite for convenient ore blending according to claim 3, wherein the method comprises the following steps: the concentration of the coarse fraction in the S13 is 15-37%, and the separation particle size is 5-15 μm.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1530173A (en) * | 2003-03-10 | 2004-09-22 | 中国地质科学院郑州矿产综合利用研究 | Beneficiation method for medium-low grade bauxite |
| CN101877020A (en) * | 2009-12-04 | 2010-11-03 | 煤炭科学研究总院西安研究院 | Method for drawing drilling track graph in AutoCAD by using VBA module |
| US20150254226A1 (en) * | 2014-03-06 | 2015-09-10 | Anthony A. Renshaw | Spreadsheet Tool for Dimensional Calculations |
| CN110569285A (en) * | 2019-09-09 | 2019-12-13 | 贵州省地质环境监测院(贵州省环境地质研究所) | Method and device for calculating background value of soil element |
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- 2020-10-15 CN CN202011106049.7A patent/CN112307733A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1530173A (en) * | 2003-03-10 | 2004-09-22 | 中国地质科学院郑州矿产综合利用研究 | Beneficiation method for medium-low grade bauxite |
| CN101877020A (en) * | 2009-12-04 | 2010-11-03 | 煤炭科学研究总院西安研究院 | Method for drawing drilling track graph in AutoCAD by using VBA module |
| US20150254226A1 (en) * | 2014-03-06 | 2015-09-10 | Anthony A. Renshaw | Spreadsheet Tool for Dimensional Calculations |
| CN110569285A (en) * | 2019-09-09 | 2019-12-13 | 贵州省地质环境监测院(贵州省环境地质研究所) | Method and device for calculating background value of soil element |
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