CN108549788A - A kind of pellet production method and pellet based on genetic characteristics - Google Patents

A kind of pellet production method and pellet based on genetic characteristics Download PDF

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CN108549788A
CN108549788A CN201810175109.7A CN201810175109A CN108549788A CN 108549788 A CN108549788 A CN 108549788A CN 201810175109 A CN201810175109 A CN 201810175109A CN 108549788 A CN108549788 A CN 108549788A
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pellet
information
gene
feed
correlation model
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王炜
郑恒
徐润生
周进东
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Wuhan University of Science and Engineering WUSE
Wuhan University of Science and Technology WHUST
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    • C22METALLURGY; FERROUS OR NON-FERROUS ALLOYS; TREATMENT OF ALLOYS OR NON-FERROUS METALS
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    • C22B1/00Preliminary treatment of ores or scrap
    • C22B1/14Agglomerating; Briquetting; Binding; Granulating
    • C22B1/16Sintering; Agglomerating
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    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
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    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
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Abstract

The present invention relates to a kind of pellet production method and pellet based on genetic characteristics, this method include establishing pellet feed gene database;Gene sequencing is carried out to the pellet that each pellet feed respectively obtains under the conditions of different roasting techniques, establishes pellet gene database and corresponding roasting technique gene database, and determine the correspondence between pellet feed, roasting technique and pellet performance;According to above-mentioned database and correspondence, the correlation model of pellet feed gene roasting technique parameter pellet gene is established;According to performance and correlation model needed for target pellet, the first pellet feed and the first roasting technique are determined, and the first pellet production is carried out based on the first pellet feed and the first roasting technique.The present invention realizes effectively integrating for a large amount of data of pellet research field, production practice data etc. by establishing correlation model so that numerous studies data are efficiently utilized, while improving pellet production efficiency.

Description

A kind of pellet production method and pellet based on genetic characteristics
Technical field
The present invention relates to chemical metallurgy technical field more particularly to a kind of pellet production method based on genetic characteristics and Pellet.
Background technology
Modern pelletizing is more extensive to the accommodation of raw material, initially, produces the raw material used in iron ore pellets and is only limitted to magnetic Iron ore concentrate.In recent years, hematite concentrates, brown iron ore concentrate, bulk concentrate and high-grad iron ore deposit powder are all largely used as pellet feed.Absolutely Most of iron-bearing material is natural iron ore or rich ore powder, or by lean ore through concentrate obtained from ore dressing.Raw material comes Source is increased, and such as Brazilian iron ore concentrate of collocation import high grade iron concentrate, Chilean magnetite concentrate in production practice, have also obtained Successful experience.In addition, with blast furnace enlargement, new requirement is proposed to pellet performance.
It is existing for mine point relatively dispersion, small scale, the extensive management of supplier, cause the ore raw materials that steel plant use at It is point unstable, performance difference is larger, this causes harmful effect to the steady production of pellet, and then influences entire ironmaking processes. Therefore the prediction of blast furnace pellet quality and the reasonable of control technique and pellet raw material utilize the need for being current blast furnace ironmaking The critical issue urgently to solve." gene " this concept is introduced field of inorganic materials by the rise of material genome plan, together When Chinese version " material genome plan " started to start, change material development based on " cooking method (trial-and-error method) " and pass System pattern realizes the unconventional speed development of field of new materials.
Currently, a large amount of roasting technique data of pellet research field, production practice data and researcher obtain Experimental data etc. do not effectively integrated, it is even more impossible to efficiently be utilized, pellet raw material genetic characteristics are not goed deep into Systematic research, test and summary can not change traditional research and development pattern based on trial-and-error method, realize pelletizing area research It is fast-developing.
Invention content
The technical problem to be solved by the present invention is to solve the above shortcomings of the prior art and to provide one kind being based on genetic characteristics Pellet production method and pellet.
The technical solution that the present invention solves above-mentioned technical problem is as follows:A kind of pellet producer based on genetic characteristics Method, including:
Step 1 establishes pellet feed gene database;
Step 2 divides the pellet feed gene database corresponding each pellet feed under the conditions of different roasting techniques The pellet not obtained carries out gene sequencing, establishes pellet gene database roasting technique gene database corresponding with its, And determine the correspondence between pellet feed, roasting technique and pellet performance;
Step 3, according to the pellet feed gene database, the pellet gene database, the roasting technique base Because of database and the correspondence, the correlation model of pellet feed gene-roasting technique parameter-pellet gene is established;
Step 4, according to performance needed for target pellet and the correlation model, determine the first pellet feed and the first roasting Technique, and the first pellet production is carried out based on first pellet feed and first roasting technique.
The beneficial effects of the invention are as follows:By establishing pellet feed gene-roasting technique parameter-pellet gene association mould Type realizes the reality that a large amount of roasting technique data of pellet research field, production practice data and researcher obtain Test effectively integrating for data etc., performance needed for combining target pellet, you can quickly determine corresponding raw material and roasting technique, make Numerous studies data are obtained efficiently to be utilized.By to pellet raw material genetic characteristics, pellet gene information and roasting technique Parameter information carries out going deep into systematic research, test and summary, has changed the material based on " cooking method (trial-and-error method) " and has ground Traditional mode is sent out, the fast development of pelletizing area research is realized.
Based on the above technical solution, the present invention can also be improved as follows:
Further, the pellet feed gene information in the pellet feed gene database is to have an impact to pellet performance Information, including:
The microscopic information of pellet feed;
Jie of pellet feed sees information;
The macroscopic information of pellet feed.
The present invention further advantageous effect be:Based on the above-mentioned technical proposal, analysis and summary pellet feed it is microcosmic, be situated between see and Substantive characteristics in macro-scale, using as the foundation with pellet property relationship, to be better anticipated and analyze pellet Can, and for instructing pellet produced on-site.
Further, the microscopic information of the pellet feed includes:Chemical composition information, microstructure information, passes through first The reducing power information and mechanical property information of each ingredient in the pellet feed that property principle is calculated;
Jie of the pellet feed sees information:Mineral composition and percentage composition information, particle surface topographical information, Grain specific surface area information, particle surface hydrophily information, particle surface electrical potential information;
The macroscopic information of the pellet feed includes:Granularity and granularmetric composition information.
Further, the parameter information in the roasting technique gene database includes:Pelletizing parameter information and baking operation Parameter information.
Further, the pelletizing parameter information includes:Material chemical component information, material water content information, additive kind Class and dosage information, degree of mixedness information;
The baking operation parameter information includes:Green-ball drying temperature and temporal information, preheating temperature and temporal information, roasting Burn temperature and heating rate information, calcination atmosphere and roasting time information.
The present invention further advantageous effect be:Based on the above-mentioned technical proposal, each roasting technique parameter information of analysis and summary With the relationship of pellet feed and pellet performance, as production pellet foundation, for instructing pellet produced on-site, so as to Pellet needed for fast and efficient production.
Further, the pellet gene information in the pellet gene database includes:
The microscopic information of pellet;
Jie of pellet sees information;
The macroscopic information of pellet.
Further, the microscopic information of the pellet includes:Chemical composition information, microstructure information, passes through the primary The reducing power information and mechanical property information of each simple mine phase in the pellet sample that principle is calculated, pass through the primary The reducing power information and mechanical property information of each complicated ore phase for the pellet sample that principle is calculated;
Jie of the pellet sees information:Mineral composition and percentage composition information, particle surface topographical information, particle Specific surface area information, particle surface hydrophily information, particle surface electrical potential information;
The macroscopic information of the pellet includes:Size distribution information, reduction characteristic information, compression strength information, low temperature Reduction and pulverization ratio information, reduction swellability rate information.
The present invention further advantageous effect be:Based on the above-mentioned technical proposal, analysis and summary pellet it is microcosmic, be situated between see and it is macro Substantive characteristics on scale is seen, using as the foundation with pellet feed genetic characteristics and roasting technique relationship, for instructing pellet Produced on-site.
Further, the step 3 includes:
The pellet feed gene database, pellet gene database and roasting technique gene are handled using machine learning Database, and in conjunction with the correspondence between the pellet feed, roasting technique and pellet performance, establish pellet feed base Cause-roasting technique parameter-pellet gene association model.
Further, before the step 4, the method further includes:
Step 5, basis preset pellet performance and the correlation model, determine the second pellet feed and the second roasting work Skill, and the second pellet production is carried out based on second pellet feed and second roasting technique, and to second ball Nodulizing carries out gene sequencing and obtains new correlation model to be modified optimization to the correlation model;
Or,
According to novel pellet raw material and the correlation model, third roasting technique is determined, and former based on the novel pellet Material and the third roasting technique carry out third pellet production, and carry out gene sequencing to the third pellet, with to institute It states correlation model and is modified optimization, obtain new correlation model;
Or,
According to default pellet performance and the correlation model, the second pellet feed and the second roasting technique, and base are determined The second pellet production is carried out in second pellet feed and second roasting technique, and second pellet is carried out Gene sequencing obtains the first correlation model to be modified optimization to the correlation model, further according to novel pellet raw material and institute The first correlation model is stated, determines third roasting technique, and carry out based on the novel pellet raw material and the third roasting technique Third pellet produces, and carries out gene sequencing to the third pellet, excellent to be modified to first correlation model Change, obtains new correlation model;
Or,
According to novel pellet raw material and the correlation model, third roasting technique is determined, and former based on the novel pellet Material and the third roasting technique carry out third pellet production, and carry out gene sequencing to the third pellet, with to institute It states correlation model and is modified optimization, obtain the second correlation model, mould is associated with described second further according to default pellet performance Type, determines the second pellet feed and the second roasting technique, and based on second pellet feed and second roasting technique into The second pellet of row produces, and carries out gene sequencing to second pellet, to be modified to second correlation model Optimization, obtains new correlation model,
Then, step 4 is specially:
According to performance needed for target pellet and the new correlation model, first pellet feed and described are determined One roasting technique, and the first pellet production is carried out based on first pellet feed and first roasting technique.
The present invention further advantageous effect be:Based on pellet feed gene-roasting technique parameter-pellet gene association Model optimizes the production of existing pellet with pellet performance requirement, such as rational to select pellet feed and roasting work Skill, and by experimental verification, correlation model is advanced optimized, the quasi- accuracy of correlation model is improved, to instruct pellet efficient Production.
The present invention also provides a kind of pellets, are given birth to by a kind of above-mentioned pellet production method based on genetic characteristics Production obtains.
Description of the drawings
Fig. 1 is a kind of flow chart element of the pellet production method based on genetic characteristics provided by one embodiment of the present invention Figure;
Fig. 2 is a kind of flow chart element for pellet production method based on genetic characteristics that another embodiment of the present invention provides 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.
Embodiment one
A kind of pellet production method 100 based on genetic characteristics, as shown in Figure 1, including:
Step 110 establishes pellet feed gene database.
Step 120, each pellet feed corresponding to pellet feed gene database are distinguished under the conditions of different roasting techniques Obtained pellet carries out gene sequencing, establishes pellet gene database roasting technique gene database corresponding with its, and Determine the correspondence between pellet feed, roasting technique and pellet performance.
Step 130, according to pellet feed gene database, pellet gene database, roasting technique gene database and Correspondence establishes the correlation model of pellet feed gene-roasting technique parameter-pellet gene.
Step 140, according to performance and correlation model needed for target pellet, determine the first pellet feed and the first roasting work Skill, and the first pellet production is carried out based on the first pellet feed and the first roasting technique.
By establishing pellet feed gene-roasting technique parameter-pellet gene association model, pellet research is realized The experimental data that a large amount of roasting technique data in field, production practice data and researcher obtain etc. effectively integrates, Performance needed for combining target pellet, you can quickly determine corresponding raw material and roasting technique so that numerous studies data obtain Efficiently utilize.By carrying out going deep into system to pellet raw material genetic characteristics, pellet gene information and roasting technique parameter information Research, test and the summary of system have changed the material development traditional mode based on " cooking method (trial-and-error method) ", have realized ball The fast development of group's area research.
Embodiment two
On the basis of embodiment one, the pellet feed gene information in pellet feed gene database is to pellet The influential information of energy, including:The microscopic information of pellet feed;Jie of pellet feed sees information;The macroscopic information of pellet feed.
Based on the above-mentioned technical proposal, analysis and summary pellet feed it is microcosmic, be situated between see and macro-scale on substantive characteristics, using as With the foundation of pellet property relationship, to be better anticipated and analyze pellet performance, and it is used to that pellet scene to be instructed to give birth to Production.
Embodiment three
On the basis of embodiment two, the microscopic information of pellet feed includes:Chemical composition information, microstructure information, The reducing power information and mechanical property information of each ingredient in the pellet feed obtained by first-principles calculations.
Jie of pellet feed sees information:Mineral composition and percentage composition information, particle surface topographical information, particle ratio Surface area information, particle surface hydrophily information, particle surface electrical potential information.
The macroscopic information of pellet feed includes:Granularity and granularmetric composition information.
Specifically, establishing pellet feed gene database:
Microscopic feature is extracted, by using high resolution transmission electron microscope (HRTEM), x-ray photoelectron spectroscopy (XPS), the experimental methods such as X-ray diffraction analysis (XRD) to pellet feed essential molecular structure, chemical composition, crystalline structure into Row detection.Pass through FindIt crystallographic datas library lookup to the cell parameter of each mine phase crystal of pellet feed, such as bloodstone;Make With Materials studio software CASTEP modules using the PBE functionals in generalized gradient approximation (GGA) to the pellet mine Phase crystal structure mineral structure cell carries out structure optimization;Pass through their ground state physics of Analysis functional analyses in CASTEP modules Property and mechanical property simulate CO reduction reactions to obtained structure cell section, calculate its reaction energy potential barrier.By being somebody's turn to do for extraction Kind pellet feed microscopic feature is denoted as Gene A1
Extraction Jie sees feature and each mineral composition of raw material and percentage composition is determined, such as bloodstone, magnet by constituent analysis Mine, silica, calcium oxide equal size determine the surface shape of pellet feed particle by scanning electron microscope (SEM), light microscope Looks feature measures the specific surface area of pellet feed particle, surface hydrophilic respectively using BET, shape image analysis method, electrophoresis Property and surface potential.This kind of pellet feed Jie of extraction is seen into feature and is denoted as gene B1
Extraction gross feature determines granularity and the granularmetric composition of pellet feed particle by the method for sizing, such as- The content of 325 mesh (- 0.045mm), -200 mesh (- 0.074mm), -65 mesh (- 0.2mm).By this kind of pellet feed macroscopic view of extraction Feature is denoted as gene C1
By gained A1B1C1Data storage, as a complete genome sequence in pellet feed gene database, A1、B1、 C1Also it can become three independent pellet feed genetic fragment databases, certain pellet feeds have identical genetic fragment.Weight Multiple above-mentioned steps carry out the microcosmic, sight that is situated between, gross feature extraction to another pellet feed, set up A2B2C2Gene order, constantly It enriches pellet feed gene database and obtains more gene order AnBnCn.When retrieving certain pellet feed, can show therewith Corresponding AxBxCxGene order;When retrieving certain raw material genetic fragment feature, such as individually retrieval A5, then can show comprising A5It is special All pellet feed genes of sign.
Example IV
In embodiment one to embodiment three on the basis of any embodiment, the parameter letter in roasting technique gene database Breath includes:Pelletizing parameter information and baking operation parameter information.
Embodiment five
On the basis of example IV, pelletizing parameter information includes:Material chemical component information, material water content information, Additive types and dosage information, degree of mixedness information.
Baking operation parameter information includes:Green-ball drying temperature and temporal information, preheating temperature and temporal information, roasting temperature Degree and heating rate information, calcination atmosphere and roasting time information.
Specifically, establishing roasting technique gene database:
It is roasted and is collected by experimental simulation and integrate pelletizing plant's processing parameter, to the roasting technique of certain pellet feed It is recorded and is denoted as gene αm.Gene α includes moisture content of material, additive types and dosage, degree of mixedness, green-ball drying The parameters such as temperature and time and preheating temperature and time, calcination temperature and heating rate, calcination atmosphere and roasting time.It is a certain Pellet feed can correspond to multiple roasting techniques, i.e. pellet feed gene order can be directed toward multiple roasting technique genes, but have and Only there are one the optimal roasting techniques that roasting technique gene is the pellet feed.By constantly experimental simulation and collect pelletizing plant Parameter enriches roasting technique gene database αn
Based on the above-mentioned technical proposal, the pass of analysis and summary each roasting technique parameter information and pellet feed and pellet performance System, as the foundation of production pellet, for instructing pellet produced on-site, so as to the pellet needed for fast and efficient production.
Embodiment six
In embodiment one to embodiment five on the basis of any embodiment, the pellet base in pellet gene database Because information includes:The microscopic information of pellet;Jie of pellet sees information;The macroscopic information of pellet.
Embodiment seven
On the basis of embodiment six, the microscopic information of pellet includes:Chemical composition information, microstructure information are led to The reducing power information and mechanical property information of each simple mine phase in the pellet sample that first-principles calculations obtain are crossed, is led to Cross the reducing power information and mechanical property information of each complicated ore phase for the pellet sample that first-principles calculations obtain.
Jie of pellet sees information:Mineral composition and percentage composition information, particle surface topographical information, particle compare table Area information, particle surface hydrophily information, particle surface electrical potential information.
The macroscopic information of pellet includes:Size distribution information, reduction characteristic information, compression strength information, low-temperature reduction Pulverization rate information, reduction swellability rate information.
Specifically, establishing pellet gene database:Certain pellet feed obtains difference under different roasting technique parameters Gained pellet when the finished ball nodulizing of performance, i.e. certain pellet feed gene order are directed toward different roasting technique gene orders.
Extract microscopic feature:Using high resolution transmission electron microscope (HRTEM), x-ray photoelectron spectroscopy (XPS), X X ray diffraction analysis x (XRD) experimental method is detected finished ball nodulizing molecular structure, chemical composition, crystalline structure;It will carry This kind of pellet microscopic feature taken is denoted 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 pellet is mutually tied Structure, air hole structure.The pelletizing ore sample that granularity is Φ 14mm is chosen, carries out hot insert with XQ-2B mounting press after tentatively polishing, then 20min is polished on P-2 type polishing machines to pellet surface without apparent cut.Then, which is determined by scanning electron microscope Different mine phases is formed with element.With a series of two-dimentional displaing micro pictures of optics microscope photographing pellet tomography, picture is spliced Connect fusion after obtain the micro- panorama sketch of pellet tomography, repeat the above process, obtain 80 layer by layer spacing be 3 μm of pellet tomographies Sequence two dimension micro-structure diagram, and obtain pellet volume rendering three-dimensional reconstruction figure using 3D Slicer softwares.Selection granularity is Φ The pellet of 12-14mm, under reducing atmosphere, such as volume fraction:20%CO, 20%CO2, 60%N2, in entire experimental period Between, the standard state flow of reducing gas is 15L/min, and the pellet after reaction is scanned in tomography X equipment Imaging, and image is handled in MATLAB, obtain the pore structure and crack structtire of pellet;By this kind of pelletizing of extraction Mine Jie sees feature and is denoted as b1
Extract gross feature:The size distribution of pellet is measured using sieve method;It is measured using national standard GB/T13242-91 Cryogenic reducting powder index, the reduction degree of pellet, reduction swellability rate;Adopt international standards ISO4700-1983 measure pellet Compression strength.This kind of pellet gross feature of extraction is denoted as gene c1
By gained a1b1c1Data storage, as a complete genome sequence in pellet gene database, a1、b1、c1 Also it can become three independent pellet genetic fragment databases, certain pellets have identical genetic fragment.It repeats above-mentioned Step carries out the microcosmic, sight that is situated between to another pellet, gross feature is extracted, establishment a2b2c2Gene order constantly enriches pelletizing Raw material gene database obtains more gene order anbncn
When retrieving certain pellet, corresponding a can be shownxbxcxGene order, while showing comprising the base Because of the pellet feed gene and roasting technique gene of sequence or genetic fragment;When retrieving certain pellet genetic fragment feature, As individually retrieved a5, then can show comprising a5All pellet feed genes and roasting technique corresponding with raw material gene of feature Gene.
Based on the above-mentioned technical proposal, analysis and summary pellet it is microcosmic, be situated between see and macro-scale on substantive characteristics, using as with The foundation of pellet feed genetic characteristics and roasting technique relationship, for instructing pellet produced on-site.
Embodiment eight
In embodiment one to embodiment seven on the basis of any embodiment, as shown in Fig. 2, step 130 includes:
Utilize machine learning processing pellet feed gene database, pellet gene database and roasting technique gene data Library, and the correspondence between pellet feed, roasting technique and pellet performance is combined, establish pellet feed gene-roasting work Skill parameter-pellet gene association model.
Specifically, establishing pellet feed gene-roasting technique parameter-pellet gene association model, pellet feed is arranged Gene database, roasting technique gene database and pellet gene database, using machine learning with data mining to above-mentioned Data in database are analyzed and are modeled, it is established that between pellet feed gene-roasting technique parameter-pellet performance Relationship, and then establish pellet feed gene-roasting technique parameter-pellet gene association model, AxBxCxαxaxbxcxIt can table Show pellet production from raw material to roasting technique and all information of finished ball nodulizing.
Embodiment nine
In embodiment one to embodiment eight on the basis of any embodiment, before step 140, method 100 further includes:
Step 150, basis preset pellet performance and correlation model, determine the second pellet feed and the second roasting technique, And the second pellet production is carried out based on the second pellet feed and the second roasting technique, and gene survey is carried out to the second pellet Sequence obtains new correlation model to be modified optimization to correlation model;
Or,
According to novel pellet raw material and correlation model, third roasting technique is determined, and be based on novel pellet raw material and third Roasting technique carries out third pellet production, and carries out gene sequencing to third pellet, excellent to be modified to correlation model Change, obtains new correlation model;
Or,
According to default pellet performance and correlation model, the second pellet feed and the second roasting technique are determined, and based on the Two pellet feeds and the second roasting technique carry out the second pellet production, and carry out gene sequencing to the second pellet, with to closing Gang mould type is modified optimization, obtains the first correlation model, further according to novel pellet raw material and the first correlation model, determines third Roasting technique, and third pellet production is carried out based on novel pellet raw material and third roasting technique, and to third pellet into Row gene sequencing obtains new correlation model to be modified optimization to the first correlation model;
Or,
According to novel pellet raw material and correlation model, third roasting technique is determined, and be based on novel pellet raw material and third Roasting technique carries out third pellet production, and carries out gene sequencing to third pellet, excellent to be modified to correlation model Change, obtains the second correlation model, further according to default pellet performance and the second correlation model, determine the second pellet feed and second Roasting technique, and the second pellet production is carried out based on the second pellet feed and the second roasting technique, and to the second pellet into Row gene sequencing obtains new correlation model to be modified optimization to the second correlation model,
Then, step 140 is specially:
According to performance needed for target pellet and new correlation model, the first pellet feed and the first roasting technique are determined, And the first pellet production is carried out based on the first pellet feed and the first roasting technique.
Entire correlation model is perfect in continuous experiment and pelletizing plant's production practices.On the one hand, according to default pellet Performance and pellet feed gene-roasting technique parameter-pellet gene association model select pellet feed, formulate roasting technique, Pellet production is carried out, and gene sequencing is carried out to the pellet, genetic test result is obtained, according to correlation model, to score The data in the genetic test result and correlation model are analysed, to be modified optimization to the correlation model, obtain new association mould Type.On the other hand, according to novel pellet raw material and pellet feed gene-roasting technique parameter-pellet gene association model, system Determine roasting technique, carries out pellet production, and gene sequencing is carried out to the pellet, genetic test result is obtained, according to described Correlation model, the data obtained by data and experimental result in comparative analysis pellet gene pool, carries out the correlation model Optimization is corrected, new correlation model is obtained.
The verification of above-mentioned both sides can only carry out one such, can also be performed simultaneously or execute successively.When executing successively When, two kinds of no sequencings of verification, but it should be recognized that rear primary verification, which is further corrects, optimizes previous test Demonstrate,prove the new correlation model obtained.
Based on pellet feed gene-roasting technique parameter-pellet gene association model, with pellet performance requirement to existing Some pellet production optimizes, such as rational to select pellet feed and roasting technique, and by experimental verification, further excellent Change correlation model, the quasi- accuracy of correlation model is improved, to instruct pellet efficiently to produce.
Embodiment ten
A kind of pellet is based on genetic characteristics by one kind described in any embodiment in embodiment one to embodiment nine Pellet production method produce to obtain.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all the present invention spirit and Within principle, any modification, equivalent replacement, improvement and so on should all be included in the protection scope of the present invention.

Claims (10)

1. a kind of pellet production method based on genetic characteristics, which is characterized in that including:
Step 1 establishes pellet feed gene database;
Step 2 obtains the corresponding each pellet feed of the pellet feed gene database respectively under the conditions of different roasting techniques The pellet arrived carries out gene sequencing, establishes pellet gene database roasting technique gene database corresponding with its, and really Determine the correspondence between pellet feed, roasting technique and pellet performance;
Step 3, according to the pellet feed gene database, the pellet gene database, the roasting technique gene number According to library and the correspondence, the correlation model of pellet feed gene-roasting technique parameter-pellet gene is established;
Step 4, according to performance needed for target pellet and the correlation model, determine the first pellet feed and the first roasting work Skill, and the first pellet production is carried out based on first pellet feed and first roasting technique.
2. a kind of pellet production method based on genetic characteristics according to claim 1, which is characterized in that the pelletizing Pellet feed gene information in raw material gene database be on the influential information of pellet performance, including:
The microscopic information of pellet feed;
Jie of pellet feed sees information;
The macroscopic information of pellet feed.
3. a kind of pellet production method based on genetic characteristics according to claim 2, which is characterized in that the pelletizing The microscopic information of raw material includes:Chemical composition information, microstructure information, the pellet feed obtained by first-principles calculations In each ingredient reducing power information and mechanical property information;
Jie of the pellet feed sees information:Mineral composition and percentage composition information, particle surface topographical information, particle ratio Surface area information, particle surface hydrophily information, particle surface electrical potential information;
The macroscopic information of the pellet feed includes:Granularity and granularmetric composition information.
4. a kind of pellet production method based on genetic characteristics according to claim 1, which is characterized in that the roasting Parameter information in technique gene database includes:Pelletizing parameter information and baking operation parameter information.
5. a kind of pellet production method based on genetic characteristics according to claim 4, which is characterized in that the pelletizing Parameter information includes:Material chemical component information, material water content information, additive types and dosage information, degree of mixedness letter Breath;
The baking operation parameter information includes:Green-ball drying temperature and temporal information, preheating temperature and temporal information, roasting temperature Degree and heating rate information, calcination atmosphere and roasting time information.
6. a kind of pellet production method based on genetic characteristics according to claim 1, which is characterized in that the pelletizing Pellet gene information in mine gene database includes:
The microscopic information of pellet;
Jie of pellet sees information;
The macroscopic information of pellet.
7. a kind of pellet production method based on genetic characteristics according to claim 6, which is characterized in that the pelletizing The microscopic information of mine includes:Chemical composition information, microstructure information, the pellet sample obtained by first-principles calculations In each simple mine phase reducing power information and mechanical property information, the pellet sample obtained by first-principles calculations Each complicated ore phase reducing power information and mechanical property information;
Jie of the pellet sees information:Mineral composition and percentage composition information, particle surface topographical information, particle compare table Area information, particle surface hydrophily information, particle surface electrical potential information;
The macroscopic information of the pellet includes:Size distribution information, reduction characteristic information, compression strength information, low-temperature reduction Pulverization rate information, reduction swellability rate information.
8. a kind of pellet production method based on genetic characteristics according to any one of claims 1 to 7, feature exist In the step 3 includes:
The pellet feed gene database, pellet gene database and roasting technique gene data are handled using machine learning Library, and in conjunction with the correspondence between the pellet feed, roasting technique and pellet performance, establish pellet feed gene-roasting Firing technique parameter-pellet gene association model.
9. a kind of pellet production method based on genetic characteristics according to any one of claims 1 to 7, feature exist In before the step 4, the method further includes:
Step 5, basis preset pellet performance and the correlation model, determine the second pellet feed and the second roasting technique, and Carry out the second pellet production based on second pellet feed and second roasting technique, and to second pellet into Row gene sequencing obtains new correlation model to be modified optimization to the correlation model;
Or,
According to novel pellet raw material and the correlation model, determine third roasting technique, and based on the novel pellet raw material and The third roasting technique carries out third pellet production, and carries out gene sequencing to the third pellet, with to the pass Gang mould type is modified optimization, obtains new correlation model;
Or,
According to default pellet performance and the correlation model, the second pellet feed and the second roasting technique are determined, and be based on institute It states the second pellet feed and second roasting technique carries out the second pellet production, and gene is carried out to second pellet Sequencing, to be modified optimization to the correlation model, obtains the first correlation model, further according to novel pellet raw material and described the One correlation model determines third roasting technique, and carries out third based on the novel pellet raw material and the third roasting technique Pellet produces, and carries out gene sequencing to the third pellet and obtained with being modified optimization to first correlation model To new correlation model;
Or,
According to novel pellet raw material and the correlation model, determine third roasting technique, and based on the novel pellet raw material and The third roasting technique carries out third pellet production, and carries out gene sequencing to the third pellet, with to the pass Gang mould type is modified optimization, obtains the second correlation model, further according to default pellet performance and second correlation model, really Fixed second pellet feed and the second roasting technique, and carry out second based on second pellet feed and second roasting technique Pellet produces, and carries out gene sequencing to second pellet and obtained with being modified optimization to second correlation model To new correlation model,
Then, step 4 is specially:
According to performance needed for target pellet and the new correlation model, first pellet feed and first roasting are determined Firing technique, and the first pellet production is carried out based on first pellet feed and first roasting technique.
10. a kind of pellet, which is characterized in that by as claim 1~9 any one of them it is a kind of based on genetic characteristics Pellet production method produces to obtain.
CN201810175109.7A 2018-03-02 2018-03-02 A kind of pellet production method and pellet based on genetic characteristics Pending CN108549788A (en)

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