CN107392488A - Slime filter cake moisture influence element assessment method based on grey correlation analysis - Google Patents
Slime filter cake moisture influence element assessment method based on grey correlation analysis Download PDFInfo
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- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
A kind of slime filter cake moisture influence element assessment method based on grey correlation analysis, methods described is the influence factor and factor level of slime filter cake moisture clear and definite first, the test data of filter cake moisture under each factor level is measured, with Grey Incidence Analysis, try to achieve the Deng Shi degree of association of each factor to slime filter cake moisture, by the sequence of degree of association size, the principal element clearly influenceed on filter cake moisture.This method is simple and practical, and amount of calculation is small, and result of calculation is accurate, effectively determines conspicuousness of each factor to slime filter cake moisture, and theoretical foundation is provided effectively to reduce filter cake moisture.
Description
Technical field
It is especially a kind of based on grey correlation point the present invention relates to a kind of analysis method of slime filter cake moisture influence factor
The evaluation method of the slime filter cake moisture influence factor of analysis.
Background technology
Increasingly serious with coal situation, requirement of the people to Coal Quality also gradually steps up, and numerous in coal
In quality index, moisture has very important status.With the development of coal preparation technology, in most of coal preparation plants, wet method choosing
Coal occupies main status, and the problem of thus bringing is that the moisture in final coal product needs to remove.The moisture of final coal
It is too high, extra financial burden can be not only carried out to conveyer belt, it is estimated that it is up to a million that China wastes transport power due to moisture height every year
Ton；If in cold district, coal icing phenomenon can be also caused, influences to unload, even results in railway carriage bursting by freezing, causes certain warp
Ji loss；In addition, moisture excessive in coal can also increase the load of boiler in combustion, the loss of heat is caused,
Largely reduce Coal Quality.According to the data study, moisture of cleaned coal often rises 1%, coking duration increase 10-
20 min, coke output reduce 3%-4%.From this, the moisture for reducing marketable coal is most important.
However, with feed coal Bed for Fine Coal be on the increase, in washing operation the difficulty of product dehydrate increasingly increases.
Meanwhile the unstable difficulty also brought to dehydration of feed coal property.So each factor is studied to slime filter cake moisture
Influence degree it is very necessary, influenceing final slime filter cake moisture has factors, including particle characteristics, coal slurry characteristic
With regime of agent etc..Luo Xiao tinkling of pieces of jade et al. is in " the drainage research that surfactant is dehydrated to coal slime centrifugal filtration（《Coal dressing
With comprehensive utilization》, 2015 (9):26-28）" in have studied under different centrifugal factors, neopelex, imidazoline two
The filtrating aid function that kind surfactant is dehydrated to coal slime centrifugal filtration, result of the test show that two kinds of activating agents can significantly drop
The filter cake moisture of low coal slime centrifugal filtration.Feng Li into et al. in " carefully viscous feed separation new technology experimental study（《Chemical fertilizer industry》,
2004 , 31 (3) :32-34）" propose in the separating experiment of thin viscous material, it instead of traditional slurry mistake with Multistep feeding
Used dosing method during filter, i.e., so-called concentration difference filtering, reduces final filter cake moisture.Often province et al. exists stone
" effect of the flocculant in filter-press dehydration（《Coal preparation technology》 , 2003 (3) :19-21）" in analyze in pressure-filtering process
Flocculant role, and by contrasting using the press filtration effect before and after filter aid, added into fine particle stage material
A certain amount of flocculant, it can largely reduce the moisture of filter cake.Chen Chen is " hydrophobically modified is to coal preparation plant's coal slime press filtration
The influence research of characteristic（《Anhui University of Science and Technology》 , 2015）" result of study show, with the drop of sample coarse granule content
Low, particle size fraction develops to fine fraction direction, and the moisture of filter cake totally shows a rising trend obtained by press filtration.Bergins C et al. are tested
As a result show, application mechanical force can effectively remove the moisture in low rank coal at high temperature.
But existing research is that one or several factors for influenceing filter cake moisture are studied respectively, draw each
Factor all has a certain impact to filter cake moisture, does not propose influence degree of each factor to filter cake moisture, it is contemplated that
It is proposed it is a kind of can obtain method of each factor to the influence degree of filter cake moisture, and then effectively determine each factor to filter cake moisture
Percentage contribution, provide theoretical foundation targetedly to reduce filter cake moisture in production practices in the future.
The content of the invention
It is an object of the invention to provide a kind of slime filter cake moisture influence element assessment method based on grey correlation analysis,
This method is simple and reliable, it is not necessary to substantial amounts of test sample number, can effectively determine shadow of each factor to slime filter cake moisture
The degree of sound, theoretical foundation is provided to reduce filter cake moisture.
To realize above-mentioned technical purpose, technical solution of the invention is as follows.
A kind of slime filter cake moisture influence element assessment method based on grey correlation analysis, methods described is by following step
Suddenly carry out：
（1）Determine that influence factor selected by slime filter cake moisture influence factor and acquisition is horizontal；
（2）It is determined that the filter cake moisture test data under each each level of influence factor；
（3）With Grey Incidence Analysis, filter cake moisture and correlative factor behavior sequence feature reference vectors space are determined, and
Incidence coefficient of each factor to filter cake moisture is tried to achieve according to incidence coefficient matrix formula；
（4）By each incidence coefficient sequence of gained, each factor is obtained to filter cake moisture degree of association size, so that it is determined that influenceing coal slime
The principal element of filter cake moisture.
Further it is technically characterized in that：The slime filter cake moisture influence factor includes coal sample degree of metamorphism, particle
Degree, coal-water fluid concentration, coal slurry pH, AlCl3Dosage and CPAM dosages；The filter cake moisture and correlative factor behavior sequence feature reference
Sequence is switched to positive correlation by the negatively correlated relation of vector, side using inverseization operator；To physical significance and dimension in methods described
Each factor differed is standardized；In methods described with the computation model of grey correlation degree size be Deng Shi association
Degree；The specific of the Grey Incidence Analysis is calculated as follows：
（a）Using filter cake moisture as reference sequences X, the correlative factor behavior sequence Y of system is by coal sample degree of metamorphism, particle
Degree, coal-water fluid concentration, coal slurry pH, AlCl3Six parameter compositions of dosage and CPAM；
（b）Index series is standardized, nondimensionalization processing is carried out using the cost type conversion in multi objective,
That is basis
Obtain matrixWith；
（c）ObtainWithDifference matrix, and the two level for obtaining difference matrix is maximum poorAnd lowest difference；
（d）Utilize Deng Shi calculation of relationship degree models
In formulaFor resolution ratio, take, try to achieve incidence coefficient matrix；
（e）Utilize
Try to achieve the Deng Shi degree of association sizes of each factor.
Above-mentioned a kind of the provided slime filter cake moisture influence element assessment method based on grey correlation analysis of the present invention,
Compared with prior art, its advantage is with good effect：First, by the invention, targetedly determine each factor to coal slime
The influence degree of filter cake moisture, theoretical foundation is provided effectively to reduce filter cake moisture in production practices in the future；Second, this method pair
The quantitative requirement of sample is low, and amount of calculation is smaller；Third, the typical regularity of distribution need not be met between data, scope is tried out
It is wider；Fourth, the result of this method and the qualitative analysis can compared with coincide, according to the similar or phase of developing state between factor
DRS degree weighs close degree between factor, so that it is determined that the primary and secondary of factor.
Brief description of the drawings
Fig. 1 is the result of the test table figure of the lower filter cake moisture of each factor change of the present invention.
Fig. 2 is the Deng Shi association table figures that each factor of the present invention influences on filter cake moisture.
Embodiment
The embodiment of the present invention is further illustrated below.
A kind of above-mentioned the provided slime filter cake moisture influence element assessment based on grey correlation analysis of present invention is provided
Method, methods described follow these steps to carry out：
（1）Determine that influence factor selected by slime filter cake moisture influence factor and acquisition is horizontal；
（2）It is determined that the filter cake moisture test data under each each level of influence factor；
（3）With Grey Incidence Analysis, filter cake moisture and correlative factor behavior sequence feature reference vectors space are determined, and
Incidence coefficient of each factor to filter cake moisture is tried to achieve according to incidence coefficient matrix formula；
（4）By each incidence coefficient sequence of gained, each factor is obtained to filter cake moisture degree of association size, so that it is determined that influenceing coal slime
The principal element of filter cake moisture.
Further embodiment one is that the slime filter cake moisture influence factor includes coal sample degree of metamorphism, particle
Degree, coal-water fluid concentration, coal slurry pH, AlCl3Dosage and CPAM dosages.
Further embodiment two is that the filter cake moisture and correlative factor behavior sequence feature reference vectors are in negative
Pass relation, then sequence is switched to by positive correlation using inverseization operator.
Further embodiment three is that each factor differed in methods described to physical significance and dimension carries out standard
Change is handled.
Further embodiment four is, with the computation model of grey correlation degree size is Deng Shi associations in methods described
Degree.
Further embodiment five is that the specific of the Grey Incidence Analysis is calculated as follows：
（a）Reference sequences are used as using filter cake moisture, the correlative factor behavior sequence of systemIt is by coal sample degree of metamorphism, particle
Granularity, coal-water fluid concentration, coal slurry pH, AlCl3Six parameter compositions of dosage and CPAM；
（b）Index series is standardized, nondimensionalization processing is carried out using the cost type conversion in multi objective,
That is basis
Obtain matrixWith；
（c）ObtainWithDifference matrix, and the two level for obtaining difference matrix is maximum poorAnd lowest difference；
（d）Utilize Deng Shi calculation of relationship degree models
In formulaFor resolution ratio, take, try to achieve incidence coefficient matrix；
（e）Utilize
Try to achieve the Deng Shi degree of association sizes of each factor.
The embodiment of the present invention is further illustrated below by specific embodiment.
Implement a kind of evaluation method of the slime filter cake moisture influence factor based on grey correlation analysis, this method it is specific
Step is as follows：
This implementation grey correlation analysis chooses filter cake moisture as reference sequences X, the related factor behavior sequence of system（Also referred to as
Comparative sequences）Y is by coal sample degree of metamorphism, grain graininess, coal-water fluid concentration, coal slurry pH, AlCl3Six dosage, CPAM dosages ginsengs
Array into.Reference sequences X and comparative sequences Y are as follows：
Each lower filter cake moisture result of the test of factor change such as subordinate list Fig. 1.
By being arranged to the data in subordinate list map grid, following R-matrix X and comparator matrix Y can be obtained（If
The filter cake moisture negatively correlated relation of factor behavior sequence associated therewith, switchs to positive correlation using inverseization operator by sequence.）：
Because the physical significance between each factor and dimension are all not quite similar, it is not than sequence, therefore index series is carried out
Standardization.The data variation of this research category multi objective sequence, dimensionless is carried out using the cost type conversion in multi objective
Change is handled.That is basis
Obtain matrixWith。
ObtainWithDifference matrix, the two level for obtaining difference matrix is maximum poor
And lowest difference。
Recycle Deng Shi calculation of relationship degree models
In formulaFor resolution ratio, take, try to achieve incidence coefficient matrix.
Utilize
The Deng Shi degrees of association size of each factor is tried to achieve as shown in subordinate list Fig. 2.
The relational degree taxis of gained can be obtained, it is respectively that grain graininess, coal slurry are dense that maximum factor is influenceed on slime filter cake moisture
Degree and coal slurry pH.
Described above, simply a simple application example of the invention, not makees any to technology application of the invention
Limitation, as long as change or modification that claim under this invention and claims are done, it should all belong to patent of the present invention and contain
Within the scope of lid.
Claims (6)
1. a kind of slime filter cake moisture influence element assessment method based on grey correlation analysis, methods described is to follow these steps
Carry out：
（1）Determine that influence factor selected by slime filter cake moisture influence factor and acquisition is horizontal；
（2）It is determined that the filter cake moisture test data under each each level of influence factor；
（3）With Grey Incidence Analysis, filter cake moisture and correlative factor behavior sequence feature reference vectors space are determined, and
Incidence coefficient of each factor to filter cake moisture is tried to achieve according to incidence coefficient matrix formula；
（4）By each incidence coefficient sequence of gained, each factor is obtained to filter cake moisture degree of association size, so that it is determined that influenceing coal slime
The principal element of filter cake moisture.
2. the method as described in claim 1, the slime filter cake moisture influence factor includes coal sample degree of metamorphism, particle
Degree, coal-water fluid concentration, coal slurry pH, AlCl3Dosage and CPAM dosages.
3. the method as described in claim 1, the filter cake moisture and correlative factor behavior sequence feature reference vectors are in negative
Sequence is switched to positive correlation by pass relation, side using inverseization operator.
4. the method as described in claim 1, each factor differed in methods described to physical significance and dimension carries out standard
Change is handled.
5. with the computation model of grey correlation degree size it is Deng Shi associations in methods described the method as described in claim 1
Degree.
6. the method as described in claim 1, the specific of the Grey Incidence Analysis is calculated as follows：
（a）Using filter cake moisture as reference sequences X, the correlative factor behavior sequence Y of system is by coal sample degree of metamorphism, particle
Degree, coal-water fluid concentration, coal slurry pH, AlCl3Six parameter compositions of dosage and CPAM；
（b）Index series is standardized, nondimensionalization processing is carried out using the cost type conversion in multi objective,
That is basis
z.jpg
Obtain matrixz.jpgWithz.jpg；
（c）Obtainz.jpgWithz.jpgDifference matrixz.jpg, and the two level for obtaining difference matrix is maximum poorz.jpgAnd lowest differencez.jpg；
（d）Utilize Deng Shi calculation of relationship degree models
z.jpg
In formulaz.jpgFor resolution ratio, takez.jpg, try to achieve incidence coefficient matrix； 1
（e）Utilizez.jpg
Try to achieve the Deng Shi degree of association sizes of each factor.
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Cited By (5)
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|---|---|---|---|---|
| CN109558566A (en) * | 2018-10-10 | 2019-04-02 | 乳源瑶族自治县东阳光化成箔有限公司 | A kind of low-pressure chemical synthesis foil processing parameter Sensitivity Analysis based on Grey Incidence Matrix method |
| CN110070282A (en) * | 2019-04-17 | 2019-07-30 | 国网安徽省电力公司 | A kind of low-voltage platform area line loss analysis of Influential Factors method based on Synthesis Relational Grade |
| CN110163480A (en) * | 2019-04-18 | 2019-08-23 | 红云红河烟草(集团)有限责任公司 | The method of quality aid decision between a kind of volume hired car |
| CN112836861A (en) * | 2021-01-12 | 2021-05-25 | 江苏师范大学 | Time-varying model establishment method for coal sample quality change rate under water-rock action |
| CN114534371A (en) * | 2022-02-25 | 2022-05-27 | 神华准格尔能源有限责任公司 | Efficient filtering method for slime water |
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|---|---|---|---|---|
| CN109558566A (en) * | 2018-10-10 | 2019-04-02 | 乳源瑶族自治县东阳光化成箔有限公司 | A kind of low-pressure chemical synthesis foil processing parameter Sensitivity Analysis based on Grey Incidence Matrix method |
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| CN112836861A (en) * | 2021-01-12 | 2021-05-25 | 江苏师范大学 | Time-varying model establishment method for coal sample quality change rate under water-rock action |
| CN112836861B (en) * | 2021-01-12 | 2022-02-01 | 江苏师范大学 | Time-varying model establishment method for coal sample quality change rate under water-rock action |
| CN114534371A (en) * | 2022-02-25 | 2022-05-27 | 神华准格尔能源有限责任公司 | Efficient filtering method for slime water |
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