CN108536997A - A kind of sinter Sintering Model based on material gene determines method and system - Google Patents
A kind of sinter Sintering Model based on material gene determines method and system Download PDFInfo
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Abstract
The present invention relates to a kind of sinter Sintering Models based on material gene to determine method and system.The method includes：Obtain raw materials for sintering gene database, sintering process parameter gene database and sinter gene database；The correlation model of raw materials for sintering sintering process parameter sinter is determined according to the raw materials for sintering gene database, the sintering process parameter gene database and the sinter gene database；The sintering process parameter gene data in the raw materials for sintering gene data and the sintering process parameter gene database in the raw materials for sintering gene database optimized in the correlation model is determined according to the performance requirement of sinter；Sintering Model is determined according to the sinter gene data of performance requirement and the raw materials for sintering gene data, the sintering process parameter gene data of optimization that indicate the sinter.Technical scheme of the present invention can be directed to the optimal sintering process of sintering performance demand rapid development, ensure the quality of sinter.
Description
Technical field
The present invention relates to chemical metallurgy technical fields, and in particular to a kind of sinter Sintering Model based on material gene is true
Determine method and system.
Background technology
Due to the rapid development of steel and iron industry in recent years, ore type in the market is more and more, existing for mine point minute
It dissipates, small scale, in addition the management of ore supplier is more extensive, causes that the ore raw materials type that steel plant use is more, ingredient
Unstable, sintering character differs greatly, this causes harmful effect to stable sintering and ironmaking production.In addition, at present mainly " to fry
Conventional sintering research and development pattern based on dish method (trial-and-error method) " is unfavorable for the prediction and regulation and control of blast furnace sinter mineral amount.
Invention content
In order to for the optimal sintering process of sintering performance demand rapid development, ensure the quality of sinter, the present invention
A kind of sinter Sintering Model based on material gene is provided and determines method and system.
On the one hand, the present invention provides a kind of sinter Sintering Models based on material gene to determine method, this method packet
It includes：
Step 1, raw materials for sintering gene database, sintering process parameter gene database and sinter gene data are obtained
Library；
Step 2, according to the raw materials for sintering gene database, the sintering process parameter gene database and the sintering
Mine gene database determines the correlation model of raw materials for sintering-sintering process parameter-sinter；
Step 3, the raw materials for sintering gene number optimized in the correlation model is determined according to the performance requirement of sinter
According to the sintering process parameter gene data in the raw materials for sintering gene data and the sintering process parameter gene database in library；
Step 4, former according to the sintering of the sinter gene data for the performance requirement for indicating the sinter and optimization
Material gene data, the sintering process parameter gene data determine Sintering Model.
On the other hand, the present invention provides a kind of sinter Sintering Models based on material gene to determine system, the system
Including：
Acquisition module, for obtaining raw materials for sintering gene database, sintering process parameter gene database and sinter base
Because of database；
Processing module, for according to the raw materials for sintering gene database, the sintering process parameter gene database and
The sinter gene database determines the correlation model of raw materials for sintering-sintering process parameter-sinter；
And the raw materials for sintering gene data optimized in the correlation model is determined according to the performance requirement of sinter
The sintering process parameter gene data in raw materials for sintering gene data and the sintering process parameter gene database in library；
And the raw materials for sintering of the sinter gene data and optimization according to the performance requirement for indicating the sinter
Gene data, the sintering process parameter gene data determine Sintering Model.
Sinter Sintering Model provided by the invention based on material gene determines that the advantageous effect of method and system is, by
The sinter of different qualities can be formed after sintering process in the raw materials for sintering of different qualities, with different sintering process to a variety of burnings
Knot raw material is sintered, and is obtained the sinter of multiple performance, is obtained separately including raw materials for sintering gene data, agglomerant in detection
After the gene database of skill parameter gene data and sinter gene data, the corresponding gene data in each gene database are utilized
The correlation model that characterization raw materials for sintering-sintering process parameter-sinter correlation can be established, can effectively integrate above-mentioned reality in this way
Test gene data.Then the raw materials for sintering gene data needed for the performance requirement of sinter constantly adjustment and sintering process are joined
Number gene data, obtains the optimal raw materials for sintering and sintering process parameter gene data that can reach sintering performance demand, according to this
Determine the Sintering Model of the sinter of available optimal characteristics parameter.By the efficient utilization to gene data, in actual production
In, after determining the performance requirement of sinter, it can be quickly obtained corresponding sintering process, to instruct sintering production, ensure sintering
Mineral amount.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Some bright embodiments for those of ordinary skill in the art without having to pay creative labor, can be with
Obtain other attached drawings according to these attached drawings.
Fig. 1 is that a kind of sinter Sintering Model based on material gene of the embodiment of the present invention determines the flow signal of method
Figure；
Fig. 2 is a kind of schematic diagram determining method based on the sinter Sintering Model of material gene of the embodiment of the present invention；
Fig. 3 is a kind of structural frames determining system based on the sinter Sintering Model of material gene of the embodiment of the present invention
Figure.
Specific implementation mode
The principle and features of the present invention will be described below with reference to the accompanying drawings, and the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the present invention.
As shown in Figure 1, a kind of sinter Sintering Model based on material gene of the embodiment of the present invention determines that method includes：
Step 1, raw materials for sintering gene database, sintering process parameter gene database and sinter gene data are obtained
Library.
Step 2, according to the raw materials for sintering gene database, the sintering process parameter gene database and the sintering
Mine gene database determines the correlation model of raw materials for sintering-sintering process parameter-sinter.
Step 3, the raw materials for sintering gene number optimized in the correlation model is determined according to the performance requirement of sinter
According to the sintering process parameter gene data in the raw materials for sintering gene data and the sintering process parameter gene database in library.
Step 4, former according to the sintering of the sinter gene data for the performance requirement for indicating the sinter and optimization
Material gene data, the sintering process parameter gene data determine Sintering Model.
The rise of material genome plan by " gene " this concept introduce field of inorganic materials, by the characteristic of material with
The form of " gene " database shows, and more possibilities are provided for the research of inorganic material.
In the present embodiment, since the raw materials for sintering of different qualities can form the sintering of different qualities after sintering process
Mine is sintered a variety of raw materials for sintering with different sintering process, obtains the sinter of multiple performance, is wrapped respectively in detection
After the gene database of gene data containing raw materials for sintering, sintering process parameter gene data and sinter gene data, using each
Corresponding gene data in gene database can establish the pass of characterization raw materials for sintering-sintering process parameter-sinter correlation
Gang mould type can effectively integrate above-mentioned experimental gene data in this way.Then needed for the performance requirement of sinter constantly adjustment
Raw materials for sintering gene data and sintering process parameter gene data obtain the optimal raw materials for sintering that can reach sintering performance demand
With sintering process parameter gene data, the Sintering Model of the sinter of available optimal characteristics parameter is determined according to this.By to base
Because of the efficient utilization of data, in actual production, after determining the performance requirement of sinter, corresponding agglomerant can be quickly obtained
Skill ensures sinter quality to instruct sintering production.
Preferably, the raw materials for sintering gene database is obtained according to following steps：
Step 1.1, the microscopic feature of different raw materials for sintering is extracted respectively, is situated between and is seen feature and gross feature as raw materials for sintering
Gene data.
Step 1.2, the raw materials for sintering gene database is determined according to the raw materials for sintering gene data.
Include the raw materials for sintering gene database of the microscopic feature of a variety of difference raw materials for sintering, the sight feature and gross feature that be situated between
It can comprehensively reflect that raw materials for sintering to the effect characteristics parameter of sinter, helps accurately to establish model.
Preferably, as shown in Fig. 2, the microscopic feature of the raw materials for sintering include Iron Ore Powder, fuel, flux it is main
Molecular structure, chemical composition, and by first principle simulation calculate each mine phase molecule of Iron Ore Powder physical property, record
For Gene A 1.
The sight feature of giving an account of of the raw materials for sintering includes Iron Ore Powder, fuel, the mineral composition of flux, percentage composition and shows
Micro-structure is recorded as gene B1.
The gross feature of the raw materials for sintering include Iron Ore Powder, fuel, the size distribution of flux, molten iron it is anabolic and
Liquid phase flowability is recorded as gene C 1.
Specifically, for raw materials for sintering gene database.
Extract microscopic feature：Raw materials for sintering gene data is by using high resolution transmission electron microscope (HRTEM), X
The experimental methods such as X-ray photoelectron spectroscopy X (XPS) are detected Iron Ore Powder essential molecular structure, chemical composition, mineral composition；
Pass through FindIt crystallographic datas library lookup to the cell parameter of each mine phase crystal of pellet feed, such as bloodstone；It uses
Materials studio software CASTEP modules use the PBE functionals in generalized gradient approximation (GGA) to the pellet mine phase
Crystal structure mineral structure cell carries out structure optimization；It is physical by their ground state of Analysis functional analyses in CASTEP modules
Matter and mechanical property.Above-mentioned raw materials for sintering microscopic feature is recorded as Gene A 1.
Extraction, which is situated between, sees feature：The microstructure of Iron Ore Powder is analyzed using scanning electron microscope (SEM) and light microscope,
Bloodstone, magnetic iron ore, calcium ferrite, silicate mine phase morphology and content in such as Iron Ore Powder；Analyze coke moisture and content of ashes,
Reactivity and micro mechanical property detection of tissue etc..Above-mentioned raw materials for sintering Jie is seen into feature and is recorded as gene B1.
Extraction macroscopic view sees feature：Choose the sieve of grain size 8mm, 6.3mm, 5mm, 3.2mm, 2.5mm, 1.25mm, 0.5mm grain size
Son carries out size distribution experiment to Iron Ore Powder, fuel, flux；The anabolic detection of Iron Ore Powder, Iron Ore Powder mobility-detected etc..It will
Above-mentioned raw materials for sintering gross feature is recorded as gene C 1.
By gained A1, B1, C1 data storage, as a complete genome sequence in raw materials for sintering gene database, A1,
B1, C1 can also become three independent raw materials for sintering genetic fragment databases.It repeats the above steps, other raw materials for sintering is carried out
The microcosmic, sight that is situated between, gross feature extraction, set up A2B2C2 gene orders.It constantly adds new data and enters gene database acquisition
More gene order AnBnCn.
Preferably, the sintering process parameter gene database includes matching as the sintering of sintering process parameter gene data
Bed depth, firing temperature when granulation characteristic, moisture and the mixed carbon comtent and sintering operation of composition proportion, raw material when material
And suction pressure, above-mentioned parameter is recorded as gene α.
Specifically, by experimental simulation be sintered and collect integrate sintering plant processing parameter, to certain sintering process into
Row records and is denoted as gene α.Composition proportion, the granulation characteristic of raw material when gene α includes dispensing, moisture, mixed carbon comtent；Sintering behaviour
Bed depth, firing temperature, suction pressure when making etc..A certain raw materials for sintering can correspond to multiple sintering process, i.e. sintering is former
Material gene order can be directed toward multiple sintering process genes, by constantly experimental simulation and collect sintering plant parameter, enrich sintering
Technique gene database α n.
Including the sintering process parameter gene database of a variety of difference sintering process parameters can comprehensively reflect agglomerant
Skill helps accurately to establish model to the effect characteristics parameter of sinter.
Preferably, the sinter gene database is obtained according to following steps：
Step 1.3, the microcosmic spy after different raw materials for sintering are sintered with different sintering process parameter conditions is extracted respectively
Sign is situated between and sees feature and gross feature as sinter gene data.
Step 1.4, the sinter gene database is determined according to the sinter gene data.
Including the microscopic feature of a variety of difference sinters, be situated between see the sinter gene database of feature and gross feature can be with
The characteristic parameter for comprehensively reflecting sinter, helps accurately to establish model, and according to the burning for the performance requirement for indicating sinter
It ties mine gene data and quickly determines suitable sintering processing technology.
Preferably, the microscopic feature of the sinter includes essential molecular structure, chemical composition and microstructure, with
And the physical property of each mine phase molecule of sinter calculated by first principle simulation, it is recorded as gene a1.
The sight feature of giving an account of of the sinter includes the variation in mineral phase structure, air hole structure and reduction process, record
For gene b1.
The gross feature of the sinter include size distribution, tumbler index, reproducibility, low temperature reduction degradation index and
Reflow conductor roll is recorded as gene c1.
Specifically, for sinter gene database.Choose the known raw materials for sintering of suitable size and the burning of sintering process
Ore sample is tied, corresponding sinter gene order is then measured.
Extract microscopic feature：Hot insert is carried out with XQ-2B mounting press after sinter is tentatively polished, is then polished in P-2 types
20min is polished on machine to specimen surface without apparent cut, then uses scanning electron microscope (Nova 400nm) and X-ray
Diffraction analysis checks the internal structure and ingredient of sample, then in crystallographic data library lookup to each mine phase crystal of the sinter
Cell parameter, for example, Fe2O3, Fe3O4, CaOFe2O3, CaO2Fe2O3, Ca2.5Fe15.5O25, CaOSiO2,
Ca3Mg (SiO4) 2 etc.；Using Materials studio software CASTEP modules, to sinter, the mine phase crystal structure mineral are brilliant
Born of the same parents carry out structure optimization；Pass through their ground state physical property and mechanical property of Analysis functional analyses in CASTEP modules
Energy.Above-mentioned sinter microscopic feature is recorded as gene a1.
Extraction, which is situated between, sees feature：Using scanning electron microscope, light microscope and three-dimensionalreconstruction software, determine that the mine of sinter is mutually tied
Structure and percentage composition, and measure using microhardness tester the microhardness of each mine phase；Sintering difference is determined by reduction experiment
Change procedure during mine phase.Above-mentioned sinter Jie is seen into feature and is recorded as gene b1.
Extraction macroscopic view sees feature：Sinter reduction degree is measured using national standard GB/T13241-91, national standard GB/8209-87 is surveyed
Measure sintered ore rotary drum strength, national standard GB/T24235-2009 measures sinter cryogenic reducting powder index, measures sinter softening
Temperature and softening section, fusion zone gas permeability.Above-mentioned sinter gross feature is recorded as gene c1.
By gained a1, b1, c1 data storage, as a complete genome sequence in sinter gene database, and will
The raw materials for sintering and sintering process data of the sinter establish the link, while a1, b1, c1 can also become three independent sinters
Genetic fragment database.It repeats the above steps, the microcosmic, sight that is situated between is carried out to other sinters, gross feature is extracted, establishment a2b2c2
Gene order constantly enriches sintering gene database and obtains more gene order anbncn.
When retrieving certain sinter, corresponding axbxcx gene orders can be shown, while showing to include to be somebody's turn to do
The corresponding raw materials for sintering gene of sinter and sintering process parameter gene.It is such as single when retrieving the corresponding gene expression characteristics of certain performance
Solely retrieval c5, then can show raw materials for sintering gene and sintering process parameter gene comprising c5 features.
Preferably, the step 2 is implemented as：Using machine learning method to the raw materials for sintering gene data
Gene data in library, the sintering process parameter gene database and the sinter gene database is analyzed, and is built
The correlation model of relationship between vertical expression raw materials for sintering performance, sintering process parameter and sintering performance.
Specifically, raw materials for sintering gene database, sintering process parameter gene database and sinter gene data are arranged
Library is analyzed and is modeled to the data in above-mentioned database with data mining using machine learning, and raw materials for sintering, sintering are found
Contacting between technique and sintering performance establishes raw materials for sintering-sintering process parameter-sinter correlation model.
Preferably, the step 3 is implemented as：Comparison is in identical raw materials for sintering, different sintering process parameter conditions
Under sinter calibration gene data, determination can optimize it is described calibration gene data the sintering process parameter gene number
According to；Or identical sintering process parameter is compared, the calibration gene data of the sinter under different sintering raw material conditions, determination can optimize
The raw materials for sintering gene data of the calibration gene data.
Specifically, with the subitem of gross feature in sinter, for low temperature reduction degradation index.Compare identical raw materials for sintering item
Under part, the low temperature reduction degradation index under different sintering process conditions determines the agglomerant for advantageously reducing low temperature reduction degradation index
Skill parameter gene；It compares under identical sintering process conditions, the low temperature reduction degradation index under different sintering raw material conditions, determines advantageous
In the raw materials for sintering gene for reducing low temperature reduction degradation index.
Preferably, the method further includes：
Step 5, it determines that the experiment of sinter cup or sintering plant are tested according to the Sintering Model, obtains experimental result, and lead to
Cross the prediction result for comparing the Sintering Model and Sintering Model described in the experiment show.
Specifically, the result of Sintering Model prediction is namely according to the acquisition of the performance requirement of sinter as a result, pass through burning
It ties mine cup or sintering plant experiment carries out Detailed Experimental detection, comparative analysis prediction result and experimental result to sintering ore sample, with
Sintering process after verification and optimization sinter optimization.
Meanwhile it being based on required sintering performance, based on above-mentioned correlation model, comparison is in theoretical different sintering process items
Finished product sinter gene under part, sintering process parameter and raw materials for sintering corresponding to sintering performance needed for screening theory, if
Sintered cup experiment is counted, the gene of parsing experiment finished product sinter instructs sintering production.New sintering experiment data are constantly collected,
Abundant raw materials for sintering and sinter gene database, improve raw materials for sintering-sintering process parameter-sinter correlation model.
As shown in figure 3, a kind of sinter Sintering Model based on material gene of the embodiment of the present invention determines that system includes：
Acquisition module, for obtaining raw materials for sintering gene database, sintering process parameter gene database and sinter base
Because of database.
Processing module, for according to the raw materials for sintering gene database, the sintering process parameter gene database and
The sinter gene database determines the correlation model of raw materials for sintering-sintering process parameter-sinter.
And the raw materials for sintering gene data optimized in the correlation model is determined according to the performance requirement of sinter
The sintering process parameter gene data in raw materials for sintering gene data and the sintering process parameter gene database in library.
And the raw materials for sintering of the sinter gene data and optimization according to the performance requirement for indicating the sinter
Gene data, the sintering process parameter gene data determine Sintering Model.
Preferably, the processing module is specifically used for：Using machine learning method to the raw materials for sintering gene database,
Gene data in the sintering process parameter gene database and the sinter gene database is analyzed, and establishes table
Show the correlation model of relationship between raw materials for sintering performance, sintering process parameter and sintering performance.
Preferably, the processing module is specifically additionally operable to：Comparison is in identical raw materials for sintering, different sintering process parameter conditions
Under sinter calibration gene data, determination can optimize it is described calibration gene data the sintering process parameter gene number
According to；Or identical sintering process parameter is compared, the calibration gene data of the sinter under different sintering raw material conditions, determination can optimize
The raw materials for sintering gene data of the calibration gene data.
Preferably, the system also includes authentication module, the authentication module, which is used to be determined according to the Sintering Model, to be burnt
The experiment of mine cup or sintering plant experiment are tied, obtains experimental result, and pass through the prediction result for comparing the Sintering Model and the reality
Test Sintering Model described in result verification.
The sinter Sintering Model based on material gene that the embodiment of the present invention is provided determines method and system, contributes to
After raw materials for sintering changes, accelerates to find Iron Ore Matching in Sintering scheme, provide convenience for smooth operation of furnace and subsequent detection.Meanwhile it grinding
The genetic characteristics guidance for studying carefully various ores is made with miner, can play the advantage of various ores and suitable sintering process, production
Go out High-quality Sinters to use for blast furnace, and sinter is made to obtain preferable metallurgical effect in blast fumance.
Reader should be understood that in the description of this specification reference term " one embodiment ", " is shown " some embodiments "
The description of example ", " specific example " or " some examples " etc. mean specific features described in conjunction with this embodiment or example, structure,
Material or feature are included at least one embodiment or example of the invention.In the present specification, above-mentioned term is shown
The statement of meaning property need not be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described
It may be combined in any suitable manner in any one or more of the embodiments or examples.In addition, without conflicting with each other, this
The technical staff in field can be by the spy of different embodiments or examples described in this specification and different embodiments or examples
Sign is combined.
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example
Property, it is not considered as limiting the invention, those skilled in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, changes, replacing and modification.
Claims (10)
1. a kind of sinter Sintering Model based on material gene determines method, which is characterized in that the method includes：
Step 1, raw materials for sintering gene database, sintering process parameter gene database and sinter gene database are obtained；
Step 2, according to the raw materials for sintering gene database, the sintering process parameter gene database and the sinter base
Because database determines the correlation model of raw materials for sintering-sintering process parameter-sinter；
Step 3, the raw materials for sintering gene database optimized in the correlation model is determined according to the performance requirement of sinter
In raw materials for sintering gene data and the sintering process parameter gene database in sintering process parameter gene data；
Step 4, according to the raw materials for sintering base of the sinter gene data and optimization of the performance requirement for indicating the sinter
Because data, the sintering process parameter gene data determine Sintering Model.
2. the sinter Sintering Model according to claim 1 based on material gene determines method, which is characterized in that described
Raw materials for sintering gene database is obtained according to following steps：
Step 1.1, the microscopic feature of different raw materials for sintering is extracted respectively, is situated between and is seen feature and gross feature as raw materials for sintering gene
Data；
Step 1.2, the raw materials for sintering gene database is determined according to the raw materials for sintering gene data.
3. the sinter Sintering Model according to claim 2 based on material gene determines method, which is characterized in that
The microscopic feature of the raw materials for sintering includes Iron Ore Powder, fuel, the essential molecular structure of flux, chemical composition, with
And the physical property of each mine phase molecule of Iron Ore Powder calculated by first principle simulation；
The sight feature of giving an account of of the raw materials for sintering includes Iron Ore Powder, fuel, the mineral composition of flux, percentage composition and micro- knot
Structure；
The gross feature of the raw materials for sintering includes that Iron Ore Powder, fuel, the size distribution of flux, molten iron be anabolic and liquid phase
Mobility.
4. the sinter Sintering Model according to claim 1 based on material gene determines method, which is characterized in that described
Composition proportion, raw material when sintering process parameter gene database includes the sintered material as sintering process parameter gene data
Granulation characteristic, moisture and mixed carbon comtent and sintering operation when bed depth, firing temperature and suction pressure.
5. the sinter Sintering Model according to claim 1 based on material gene determines method, which is characterized in that described
Sinter gene database is obtained according to following steps：
Step 1.3, the microscopic feature after different raw materials for sintering are sintered with different sintering process parameter conditions is extracted respectively, is situated between
Feature and gross feature are seen as sinter gene data；
Step 1.4, the sinter gene database is determined according to the sinter gene data.
6. the sinter Sintering Model according to claim 5 based on material gene determines method, which is characterized in that
The microscopic feature of the sinter includes essential molecular structure, chemical composition and microstructure, and passes through first
Property principle simulation calculate each mine phase molecule of sinter physical property；
The sight feature of giving an account of of the sinter includes the variation in mineral phase structure, air hole structure and reduction process；
The gross feature of the sinter includes size distribution, tumbler index, reproducibility, low temperature reduction degradation index and soft heat
Performance.
7. the sinter Sintering Model according to any one of claims 1 to 6 based on material gene determines method, feature
It is, the step 2 is implemented as：Using machine learning method to the raw materials for sintering gene database, the sintering
Gene data in technological parameter gene database and the sinter gene database is analyzed, and it is former to establish expression sintering
The correlation model of relationship between material performance, sintering process parameter and sintering performance.
8. the sinter Sintering Model according to claim 7 based on material gene determines method, which is characterized in that described
Step 3 is implemented as：Compare the calibration gene of the sinter under the conditions of identical raw materials for sintering, different sintering process parameters
Data, determination can optimize the sintering process parameter gene data of the calibration gene data；Or the identical sintering process of comparison
Parameter, the calibration gene data of the sinter under different sintering raw material conditions, determination can optimize the institute of the calibration gene data
State raw materials for sintering gene data.
9. the sinter Sintering Model according to any one of claims 1 to 6 based on material gene determines method, feature
It is, the method further includes：
Step 5, it determines that the experiment of sinter cup or sintering plant are tested according to the Sintering Model, obtains experimental result, and by right
Prediction result than the Sintering Model and Sintering Model described in the experiment show.
10. a kind of sinter Sintering Model based on material gene determines system, which is characterized in that the system comprises：
Acquisition module, for obtaining raw materials for sintering gene database, sintering process parameter gene database and sinter gene number
According to library；
Processing module, for according to the raw materials for sintering gene database, the sintering process parameter gene database and described
Sinter gene database determines the correlation model of raw materials for sintering-sintering process parameter-sinter；
And it is determined according to the performance requirement of sinter in the raw materials for sintering gene database optimized in the correlation model
Raw materials for sintering gene data and the sintering process parameter gene database in sintering process parameter gene data；
And the raw materials for sintering gene of the sinter gene data and optimization according to the performance requirement for indicating the sinter
Data, the sintering process parameter gene data determine Sintering Model.
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| CN110095464A (en) * | 2019-04-12 | 2019-08-06 | 武汉科技大学 | A kind of sinter mine of complicated composition mutually refines quantitative analysis method |
| CN110619932A (en) * | 2019-09-24 | 2019-12-27 | 北京矿冶科技集团有限公司 | Method for extracting and characterizing mineral gene data |
| CN110910270A (en) * | 2018-09-17 | 2020-03-24 | 阿里巴巴集团控股有限公司 | Treatment method, device and system for phosphoric acid production process |
| CN111341394A (en) * | 2020-02-17 | 2020-06-26 | 上海大学 | Gene feedback system of high-molecular heat conduction material and application thereof |
| CN112927764A (en) * | 2021-03-03 | 2021-06-08 | 上海大学 | Design method and system for target flame-retardant polymer composite material preparation model |
| CN112941307A (en) * | 2021-01-28 | 2021-06-11 | 山西太钢不锈钢股份有限公司 | Control method for stabilizing sintering process |
| CN113012768A (en) * | 2021-03-03 | 2021-06-22 | 上海大学 | Construction method and application of high-molecular flame-retardant composite material gene library |
| CN113643769A (en) * | 2021-10-19 | 2021-11-12 | 矿冶科技集团有限公司 | Management system and method for combining mineral gene with mineral processing technology |
| CN114117884A (en) * | 2021-10-21 | 2022-03-01 | 东北大学 | Intelligent sintering ore blending system based on big data before iron |
| CN114117884B (en) * | 2021-10-21 | 2024-05-31 | 东北大学 | Intelligent ore blending system for sintering based on pre-iron big data |
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| CN110910270A (en) * | 2018-09-17 | 2020-03-24 | 阿里巴巴集团控股有限公司 | Treatment method, device and system for phosphoric acid production process |
| CN110095464B (en) * | 2019-04-12 | 2022-01-28 | 武汉科技大学 | Fine quantitative analysis method for complex-composition sinter ore phases |
| CN110095464A (en) * | 2019-04-12 | 2019-08-06 | 武汉科技大学 | A kind of sinter mine of complicated composition mutually refines quantitative analysis method |
| CN110619932A (en) * | 2019-09-24 | 2019-12-27 | 北京矿冶科技集团有限公司 | Method for extracting and characterizing mineral gene data |
| CN111341394A (en) * | 2020-02-17 | 2020-06-26 | 上海大学 | Gene feedback system of high-molecular heat conduction material and application thereof |
| CN111341394B (en) * | 2020-02-17 | 2023-05-16 | 上海大学 | Polymer heat-conducting material gene feedback system and application thereof |
| CN112941307A (en) * | 2021-01-28 | 2021-06-11 | 山西太钢不锈钢股份有限公司 | Control method for stabilizing sintering process |
| CN113012768A (en) * | 2021-03-03 | 2021-06-22 | 上海大学 | Construction method and application of high-molecular flame-retardant composite material gene library |
| CN112927764B (en) * | 2021-03-03 | 2023-03-17 | 上海大学 | Design method and system for target flame-retardant polymer composite material preparation model |
| CN112927764A (en) * | 2021-03-03 | 2021-06-08 | 上海大学 | Design method and system for target flame-retardant polymer composite material preparation model |
| CN113643769A (en) * | 2021-10-19 | 2021-11-12 | 矿冶科技集团有限公司 | Management system and method for combining mineral gene with mineral processing technology |
| CN114117884A (en) * | 2021-10-21 | 2022-03-01 | 东北大学 | Intelligent sintering ore blending system based on big data before iron |
| CN114117884B (en) * | 2021-10-21 | 2024-05-31 | 东北大学 | Intelligent ore blending system for sintering based on pre-iron big data |
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