CN117316306A - Cement raw material limestone quality back calculation method - Google Patents
Cement raw material limestone quality back calculation method Download PDFInfo
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- CN117316306A CN117316306A CN202311298204.3A CN202311298204A CN117316306A CN 117316306 A CN117316306 A CN 117316306A CN 202311298204 A CN202311298204 A CN 202311298204A CN 117316306 A CN117316306 A CN 117316306A
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- limestone
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- 235000019738 Limestone Nutrition 0.000 title claims abstract description 65
- 239000006028 limestone Substances 0.000 title claims abstract description 65
- 239000002994 raw material Substances 0.000 title claims abstract description 52
- 238000004364 calculation method Methods 0.000 title claims abstract description 30
- 239000004568 cement Substances 0.000 title claims abstract description 30
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims abstract description 56
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 claims abstract description 28
- 229910052782 aluminium Inorganic materials 0.000 claims abstract description 28
- 229910052742 iron Inorganic materials 0.000 claims abstract description 28
- 239000000463 material Substances 0.000 claims abstract description 27
- 239000002210 silicon-based material Substances 0.000 claims abstract description 12
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 claims description 46
- 229910052681 coesite Inorganic materials 0.000 claims description 23
- 229910052906 cristobalite Inorganic materials 0.000 claims description 23
- 239000000377 silicon dioxide Substances 0.000 claims description 23
- 235000012239 silicon dioxide Nutrition 0.000 claims description 23
- 229910052682 stishovite Inorganic materials 0.000 claims description 23
- 229910052905 tridymite Inorganic materials 0.000 claims description 23
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 claims description 15
- JEIPFZHSYJVQDO-UHFFFAOYSA-N iron(III) oxide Inorganic materials O=[Fe]O[Fe]=O JEIPFZHSYJVQDO-UHFFFAOYSA-N 0.000 claims description 15
- 229910052710 silicon Inorganic materials 0.000 claims description 15
- 239000010703 silicon Substances 0.000 claims description 15
- 238000000034 method Methods 0.000 claims description 13
- 239000004575 stone Substances 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 5
- 238000012216 screening Methods 0.000 claims description 3
- BYFGZMCJNACEKR-UHFFFAOYSA-N aluminium(i) oxide Chemical compound [Al]O[Al] BYFGZMCJNACEKR-UHFFFAOYSA-N 0.000 claims 10
- 229910052586 apatite Inorganic materials 0.000 description 4
- VSIIXMUUUJUKCM-UHFFFAOYSA-D pentacalcium;fluoride;triphosphate Chemical compound [F-].[Ca+2].[Ca+2].[Ca+2].[Ca+2].[Ca+2].[O-]P([O-])([O-])=O.[O-]P([O-])([O-])=O.[O-]P([O-])([O-])=O VSIIXMUUUJUKCM-UHFFFAOYSA-D 0.000 description 4
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C10/00—Computational theoretical chemistry, i.e. ICT specially adapted for theoretical aspects of quantum chemistry, molecular mechanics, molecular dynamics or the like
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/20—Identification of molecular entities, parts thereof or of chemical compositions
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/90—Programming languages; Computing architectures; Database systems; Data warehousing
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- Theoretical Computer Science (AREA)
- Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Computational Biology (AREA)
- Chemical & Material Sciences (AREA)
- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Crystallography & Structural Chemistry (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Analysing Materials By The Use Of Radiation (AREA)
Abstract
The invention discloses a cement raw material limestone quality back calculation method, which comprises the following steps: step one, determining that the cement raw material mainly comprises the following raw materials: limestone, aluminum material, silicon material and iron material; the raw materials mainly comprise the following components: siO2, al2O3, fe2O3, caO and MgO; step two, determining the proportion interval of each raw material in the step one according to actual conditions; step three, generating a password library through a software system; step four, reversely calculating the limestone component according to the test values before and after grinding; compared with the prior art, the invention has the advantages that: the invention adopts a data retrieval mode, can rapidly and accurately calculate the quality of cement raw material limestone, and is convenient for quality departments to confirm the quality of limestone and adjust the raw material proportion.
Description
Technical Field
The invention relates to the technical field of cement raw material limestone quality back calculation, in particular to a cement raw material limestone quality back calculation method.
Background
The quality test of the cement raw material limestone is difficult to sample, the sample is not representative, and the like, so that the test result often has no reference significance. When the quality of the limestone is manually calculated, the EXCEL formula is usually utilized for trial-and-error, and the trial-and-error result is inaccurate and time-consuming due to different experience of the inspector.
Normally, before the cement raw materials enter a mill, laboratory staff can manually sample and test the proportion of components such as SiO2, A l2O3, fe2O3, caO, mgO and the like in each raw material; laboratory personnel can test the proportion of components such as SiO2, A l2O3, fe2O3, caO, mgO and the like of the raw material after the raw material is worn out. After grinding, the raw materials are ground and mixed, so that the ratio of components such as SiO2 and the like is relatively accurate and can be referred. However, the limestone before grinding is not representative of the assayed components such as SiO2 due to sampling.
Disclosure of Invention
The technical problem to be solved by the invention is to overcome the technical defects, and provide a cement raw material limestone quality back calculation method which adopts a data retrieval mode, can quickly and accurately back calculate the cement raw material limestone quality, and is convenient for a quality department to confirm the limestone quality and adjust the raw material proportion.
In order to solve the problems, the technical scheme of the invention is that the cement raw material limestone mass back calculation method comprises the following steps: the method comprises the following steps:
step one, determining that the cement raw material mainly comprises the following raw materials: limestone, aluminum material, silicon material and iron material; the raw materials mainly comprise the following components: si O2, A l2O3, fe2O3, caO and MgO;
step two, determining the proportion interval of each raw material in the step one according to actual conditions;
step three, generating a password library through a software system;
and step four, reversely calculating the limestone component according to the test values before and after grinding.
Further, in the second step, the sum of the components of limestone, aluminum material, silicon material and iron material is 100%, the range of 79-91% of limestone is determined, the range of aluminum material is 0-15%, the range of silicon material is 0-15%, and the range of iron material is 0-10%.
Further, the code generated by the password library in the third step is as follows:
further, the code uses nested loops and conditional sentences, values of variables a, b, c and d (abcd represents four raw material ratios of limestone, aluminum material, silicon material and iron material respectively) are calculated iteratively in a specified range and step length, whether the sum of the values is equal to 100 is judged, if so, the combination of the variables is added into a code library, and after the code library is generated, each component in the limestone is calculated reversely according to test values before and after actual grinding.
Further, the calculation formula of the ratio of each component after grinding in the fourth step is as follows:
(1) Total SiO2% = a×in-grinding limestone SiO2% + b×in-grinding aluminum Si O2% + c×in-grinding silicon SiO2% + d×in-grinding iron SiO2%;
(2) Total mill out A l O3% = a x in-mill limestone A l O3% + b x in-mill aluminum A l O3% + c x in-mill silicon A l O3% + d x in-mill iron A l O3%;
(3) Total Fe2O3% = a×in-grinding limestone Fe2O3% + b×in-grinding aluminum Fe2O3% + c×in-grinding silicon Fe2O3% + d×in-grinding iron Fe2O3%;
(4) Total cao% out of mill =a×in-grinding limestone CaO% +b×in-grinding aluminum CaO% +c×in-grinding silicon CaO% +d×in-grinding iron CaO);
(5) Total mgo% of mill =a×in-mill limestone MgO% +b×in-mill aluminum MgO% +c×in-mill silicon MgO% +d×in-mill iron MgO%.
Furthermore, in the formula, a, b, c, d and the inlet apatite SiO2%, the inlet apatite CaO and the inlet apatite MgO% are unknown, and are calculation targets, only a, b, c, d in the (2) and (3) are unknown variables, firstly traversing the password library one by one, screening out all results which can meet the formulas (2) and (3), substituting the screened out results into the formulas (1), (4) and (5), so as to obtain the proportions of all components which meet the results, namely the proportions of the components of SiO2, caO and MgO in the inlet apatite, and finally obtaining a plurality of groups of possible results, and then giving a target value of a, b, c, d, and finding out a result which is the smallest in difference with the target value of the laboratory after traversing the system one by one.
Further, there is also provided an electronic apparatus including: at least one processor; and a memory communicatively coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.
Further, a non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-6 is also included.
Further, a computer program product is comprised, which, when being executed by a processor, implements the method according to any of claims 1-6.
Compared with the prior art, the invention has the advantages that: by adopting a data retrieval mode, the quality of cement raw material limestone can be calculated quickly and accurately, and the quality department can conveniently confirm the quality of the limestone and adjust the raw material proportion.
Drawings
FIG. 1 is an interface diagram of a cement raw material limestone mass back calculation method of the present invention.
Figure 2 is a set of possible data for the results of a cement raw limestone mass back calculation method of the present invention.
FIG. 3 is a graph of data with minimal target value phase difference for a cement raw material limestone mass calculation method of the present invention.
FIG. 4 is a graph showing the results of a cement raw material limestone mass back calculation method according to the present invention.
Detailed Description
In order to make the contents of the present invention more clearly understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below in connection with the embodiments of the present invention.
As shown in fig. 1-4, the cement raw material limestone mass back calculation method comprises the following steps:
step one, determining that the cement raw material mainly comprises the following raw materials: limestone, aluminum material, silicon material and iron material; the raw materials mainly comprise the following components: si O2, A l2O3, fe2O3, caO and MgO;
step two, determining the proportion interval of each raw material in the step one according to actual conditions;
step three, generating a password library through a software system;
and step four, reversely calculating the limestone component according to the test values before and after grinding.
Because the sum of the components of limestone, aluminum material, silicon material and iron material is 100%, and each raw material has a certain range according to actual conditions, the method comprises the following steps: 79-91% of limestone, 0-15% of aluminum material, 0-15% of siliceous material and 0-10% of iron material.
Generating a password library in advance according to the requirements of the complaints for subsequent back calculation, wherein the generation method comprises the following steps:
the code uses nested loops and conditional sentences, values of variables a, b, c and d (abcd represents four raw material ratios of limestone, aluminum material, silicon material and iron material respectively) are calculated iteratively in specified ranges and step sizes, then whether the sum of the values is equal to 100 is judged, and if so, the combination of the variables is added into a password library.
The calculation formula of the proportion of each component after grinding is as follows:
(1) Total SiO2% = a×in-grinding limestone SiO2% + b×in-grinding aluminum SiO2% + c×in-grinding silicon SiO2% + d×in-grinding iron SiO2%;
(2) Total mill out A l O3% = a x in-mill limestone A l O3% + b x in-mill aluminum A l O3% + c x in-mill silicon A l O3% + d x in-mill iron A l O3%;
(3) Total Fe2O3% = a×in-grinding limestone Fe2O3% + b×in-grinding aluminum Fe2O3% + c×in-grinding silicon Fe2O3% + d×in-grinding iron Fe2O3%;
(4) Total cao% out of mill =a×in-grinding limestone CaO% +b×in-grinding aluminum CaO% +c×in-grinding silicon CaO% +d×in-grinding iron CaO);
(5) Total mgo% of mill =a×in-mill limestone MgO% +b×in-mill aluminum MgO% +c×in-mill silicon MgO% +d×in-mill iron MgO%.
In the formula, a, b, c, d and the inlet grinding stone SiO2%, the inlet grinding stone CaO and the inlet grinding stone MgO are unknown, are calculation targets, only a, b, c, d in the (2) and the (3) are unknown variables, firstly traversing the password library one by one, screening out all results meeting the formulas (2) and (3), substituting the screened out results into the formulas (1), (4) and (5), obtaining all component proportions meeting the results, namely the component proportions of S iO2, caO and MgO in the inlet grinding stone, finally obtaining a plurality of groups of possible obtained results, giving a target value of a, b, c, d, finding out a result which is the smallest in phase difference with the target value of a laboratory by one by the result obtained before traversing the system, as shown in the figure 3,
as shown in fig. 4, data: back-calculation adjustment ratio 84.5, 2.7, 5.5, 7.3;
S IO2：5.21
CaO：49.53
MgO 1.45 is the final calculation result.
According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.
An electronic device, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method as provided in the above embodiments.
In an exemplary embodiment, the readable storage medium may be a non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method according to the embodiments provided above.
In an exemplary embodiment, the computer program product comprises a computer program which, when executed by a processor, implements a method according to the embodiments provided above.
After the password library is generated, each component in the limestone is calculated reversely according to the test values before and after the actual grinding
The invention and its embodiments have been described above without limitation. In summary, if one of ordinary skill in the art is informed by this disclosure, a structural manner and an embodiment similar to the technical solution should not be creatively devised without departing from the gist of the present invention.
Claims (9)
1. A cement raw material limestone mass back calculation method is characterized in that: the method comprises the following steps:
step one, determining that the cement raw material mainly comprises the following raw materials: limestone, aluminum material, silicon material and iron material; the raw materials mainly comprise the following components: siO2, al2O3, fe2O3, caO and MgO;
step two, determining the proportion interval of each raw material in the step one according to actual conditions;
step three, generating a password library through a software system;
and step four, reversely calculating the limestone component according to the test values before and after grinding.
2. The cement raw material limestone mass back calculation method according to claim 1, characterized by comprising the following steps: in the second step, the sum of the components of limestone, aluminum material, silicon material and iron material is 100%, the range of 79-91% of limestone is determined, the range of aluminum material is 0-15%, the range of silicon material is 0-15%, and the range of iron material is 0-10%.
3. The cement raw material limestone mass back calculation method according to claim 1, characterized by comprising the following steps: the code generated by the password library in the third step is as follows:
4. a cement raw material limestone mass back calculation method according to claim 3, characterized in that: the code uses nested loops and conditional sentences, values of variables a, b, c and d (abcd represents four raw material ratios of limestone, aluminum material, silicon material and iron material respectively) are calculated iteratively in a specified range and step length, whether the sum of the values is equal to 100 is judged, if so, the combination of the variables is added into a code library, and each component in the limestone is calculated reversely according to test values before and after actual grinding after the code library is generated.
5. The cement raw material limestone mass back calculation method according to claim 1, characterized by comprising the following steps: the calculation formula of the proportion of each component after grinding in the fourth step is as follows:
(1) Total SiO2% = a×in-grinding limestone SiO2% + b×in-grinding aluminum SiO2% + c×in-grinding silicon SiO2% + d×in-grinding iron SiO2%;
(2) Total Al2O 3% = a×in-grinding limestone Al2O 3% + b×in-grinding aluminum Al2O 3% + c×in-grinding silicon Al2O 3% + d×in-grinding iron Al2O 3%;
(3) Total Fe2O3% = a×in-grinding limestone Fe2O3% + b×in-grinding aluminum Fe2O3% + c×in-grinding silicon Fe2O3% + d×in-grinding iron Fe2O3%;
(4) Total cao% out of mill =a×in-grinding limestone CaO% +b×in-grinding aluminum CaO% +c×in-grinding silicon CaO% +d×in-grinding iron CaO);
(5) Total mgo% of mill =a×in-mill limestone MgO% +b×in-mill aluminum MgO% +c×in-mill silicon MgO% +d×in-mill iron MgO%.
6. The cement raw material limestone mass back calculation method according to claim 5, wherein: in the formula, a, b, c, d and the inlet grinding stone SiO2%, the inlet grinding stone CaO and the inlet grinding stone MgO are unknown, are calculation targets, only a, b, c, d in the (2) and the (3) are unknown variables, firstly traversing the password library one by one, screening out all results which can meet the formulas of the (2) and the (3), substituting the screened results into the formulas of the (1), (4) and (5), obtaining all component proportions which meet the results, namely the component proportions of SiO2, caO and MgO in the inlet grinding stone, finally obtaining a plurality of groups of possible obtained results, giving a target value of a, b, c, d, and finding out a result which is the smallest in difference with the target value of a laboratory after traversing the system.
7. The cement raw material limestone mass back calculation method according to claim 1, characterized by comprising the following steps: also included is an electronic device comprising: at least one processor; and a memory communicatively coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.
8. The cement raw material limestone mass back calculation method according to claim 1, characterized by comprising the following steps: also included is a non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-6.
9. The cement raw material limestone mass back calculation method according to claim 1, characterized by comprising the following steps: also included is a computer program product which, when executed by a processor, implements the method according to any of claims 1-6.
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| CN202311298204.3A CN117316306A (en) | 2023-10-09 | 2023-10-09 | Cement raw material limestone quality back calculation method |
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| CN202311298204.3A CN117316306A (en) | 2023-10-09 | 2023-10-09 | Cement raw material limestone quality back calculation method |
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