CN106203705A - Go out to grind 28 days Prediction of compressive strength methods of cement - Google Patents

Go out to grind 28 days Prediction of compressive strength methods of cement Download PDF

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CN106203705A
CN106203705A CN201610545625.5A CN201610545625A CN106203705A CN 106203705 A CN106203705 A CN 106203705A CN 201610545625 A CN201610545625 A CN 201610545625A CN 106203705 A CN106203705 A CN 106203705A
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cement
grind
mill
days
characteristic index
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高雪清
刘胜
刘洪超
韩前卫
祁耀斌
王月明
李建伟
王磊
高翔
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    • G06QINFORMATION 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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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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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    • G06Q50/04Manufacturing
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    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

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Abstract

The present invention proposes one and goes out to grind 28 days Prediction of compressive strength methods of cement, comprises the following steps: S1, set up out the 28 days comprcssive strength of the mill cement function model with correlated variables (going out to grind cement characteristic index);S2, obtained out the historical record of mill cement characteristic index by informatization platform, set up correlation matrix according to historical record, and thus obtain the correlation coefficient of function model;Enter to grind grog grade and go out to grind cement characteristic index on S3, instant acquisition cement producing line, calculate mill cement comprcssive strength discreet value in 28 days according to correlation function.

Description

Go out to grind 28 days Prediction of compressive strength methods of cement
Technical field
The present invention relates to one and go out to grind 28 days Prediction of compressive strength methods of cement, particularly relating to one can be in process of production Control real-time to cement quality goes out to grind 28 days Prediction of compressive strength methods of cement
Background technology
Go out to grind the serious information delay existing for 28 days comprcssive strength of cement, often lead to the examination of this batch strength of cement Testing result not yet to draw, cement has dispatched from the factory for site construction, so, present cement production enterprise uses the method for linear regression, The strength of cement of 28 days is doped with the strength of cement of 7 days.Although, take this method, can partly solve Cement dispatch from the factory before prediction of quality, the generation of prevention quality accident, but for production process, the information delay of 7 day time, Have a strong impact on the promptness of signal feedback, cause realizing cement quality controlling in real time.
Summary of the invention
The technical problem to be solved in the present invention be in prior art cannot the defect of control real-time to cement quality, There is provided a kind of and control real-time to cement quality can go out to grind 28 days Prediction of compressive strength methods of cement in process of production.
The technical solution adopted for the present invention to solve the technical problems is:
There is provided one to go out to grind 28 days Prediction of compressive strength methods of cement, comprise the following steps:
S1, set up out the 28 days comprcssive strength of the mill cement function model with correlated variables:
θ=(a0, a1, a2, a3, a4, a5)T (2)
In formula, u1(k), u2(k), u3(k), u4(k), u5K () is for going out to grind cement characteristic index;
a0, a1, a2, a3, a4, a5It is the correlation coefficient to grind cement characteristic index respectively;θ be correlation coefficient transposition to Amount;Y (k) is to grind 28 days comprcssive strength vectors of cement;E (k) is random error;K=1,2 ..., N, N are natural number;
S2, obtained out the historical record of mill cement characteristic index by informatization platform, set up correlation matrix, such as following formula:
In formulaIt it is correlation coefficient vector;Be byN × 6 matrix of structure;yNIt is to grind 28 days comprcssive strength of cement Vector;N is record number;The correlation coefficient of Computation function model, draws mill 28 days comprcssive strength of cement and the function of correlated variables Relation, such as following formula:
In formulaIt is to grind cement comprcssive strength discreet value in 28 days;It is that instant acquisition draws mill cement characteristic index transposition Vector.
S3, instant acquisition go out to grind cement composition and granularity on cement producing line, obtain into mill grog grade and go out Mo Shui Mud characteristic index, sets up out mill cement characteristic index transposed vectorMill 28 days pressure resistances of cement are calculated according to formula (6) Degree discreet value.
In method of the present invention, go out to grind cement characteristic index and include screen over-size, specific surface area, burn tinctuer, calcium oxide Content, content of magnesia.
In method of the present invention, go out to grind 28 days comprcssive strength of cement and screen over-size, specific surface area, burn tinctuer, oxidation Linear functional relation is there is between calcium content, content of magnesia.
In method of the present invention, with specific reference to historical record in step S2, use least-squares estimation, obtain mill The correlation coefficient of cement characteristic index.
The present invention also provides for one and goes out to grind 28 days Prediction of compressive strength methods of cement, comprises the following steps:
S1, set up out the 28 days comprcssive strength of the mill cement function model with correlated variables:
θ=(a0, a1, a2, a3, a4, a5)T (2)
In formula, u1(k), u2(k), u3(k), u4(k), u5(k), u6K () is for going out to grind cement characteristic index;
a0, a1, a2, a3, a4, a5, a6It is the correlation coefficient to grind cement characteristic index respectively;θ is the transposition of correlation coefficient Vector;Y (k) is to grind 28 days comprcssive strength vectors of cement;E (k) is random error;K=1,2 ..., N, N are natural number;
S2, obtained out the historical record of mill cement characteristic index by informatization platform, set up correlation matrix, such as following formula:
In formulaIt it is correlation coefficient vector;Be byN × 7 matrix of structure;yNIt is to grind 28 days comprcssive strength of cement Vector;N is record number;The correlation coefficient of Computation function model, draws mill 28 days comprcssive strength of cement and the function of correlated variables Relation, such as following formula:
In formulaIt is to grind cement comprcssive strength discreet value in 28 days;It is that instant acquisition draws mill cement characteristic index transposition Vector.
S3, instant acquisition go out to grind cement composition and granularity on cement producing line, obtain into mill grog grade and go out Mo Shui Mud characteristic index, sets up out mill cement characteristic index transposed vectorMill 28 days pressure resistances of cement are calculated according to formula (6) Degree discreet value.
In method of the present invention, go out to grind cement characteristic index and include screen over-size, specific surface area, burn tinctuer, calcium oxide Content, content of magnesia and sulfur trioxide content.
In method of the present invention, go out to grind 28 days comprcssive strength of cement and screen over-size, specific surface area, burn tinctuer, oxidation Linear functional relation is there is between calcium content, content of magnesia, sulfur trioxide content.
In method of the present invention, with specific reference to historical record in step S2, use least-squares estimation, obtain mill The correlation coefficient of cement characteristic index.
The beneficial effect comprise that: the present invention is based on informatization platform, by substantial amounts of historical data It is analyzed, obtains the correlation function of 28 days strength of cement and cement composition, owing to the correlated variables of function being avoided Comprcssive strength such quality testing index, but to go out to grind the composition of cement and granularity as correlated variables (on cement producing line Within the most each hour, carry out one-time detection), so, can immediately dope 28 days comprcssive strength of cement, and then produce Cheng Zhong, control real-time to cement quality.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the invention will be further described, in accompanying drawing:
Fig. 1 is that the embodiment of the present invention goes out to grind 28 days Prediction of compressive strength method flow diagrams of cement;
Fig. 2 is embodiment of the present invention cement grinding mill production process quality control system;
Fig. 3 is the comparison diagram of actual value and discreet value.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, right The present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, not For limiting the present invention.
The embodiment of the present invention one go out to grind 28 days Prediction of compressive strength methods of cement, as it is shown in figure 1, comprise the following steps:
S1, set up out the 28 days comprcssive strength of the mill cement function model with correlated variables:
θ=(a0, a1, a2, a3, a4, a5)T (2)
In formula, u1(k), u2(k), u3(k), u4(k), u5K () is for going out to grind cement characteristic index;
a0, a1, a2, a3, a4, a5It is the correlation coefficient to grind cement characteristic index respectively;θ be correlation coefficient transposition to Amount;Y (k) is to grind 28 days comprcssive strength vectors of cement;E (k) is random error;K=1,2 ..., N, N are natural number;Here Correlated variables refer mainly to go out to grind cement characteristic index selected by this embodiment one.
S2, obtained out the historical record of mill cement characteristic index by informatization platform, set up correlation matrix, such as following formula:
In formulaIt it is correlation coefficient vector;Be byN × 6 matrix of structure;yNIt is to grind 28 days comprcssive strength of cement Vector;N is record number;The embodiment of the present invention can use least-squares estimation, obtain the correlation coefficient of function model, draw mill 28 days comprcssive strength of cement and the functional relationship of correlated variables, such as following formula:
In formulaIt is to grind cement comprcssive strength discreet value in 28 days;It is that instant acquisition draws mill cement characteristic index transposition Vector.
S3, instant acquisition go out to grind cement composition and granularity on cement producing line, obtain into mill grog grade and go out Mo Shui Mud characteristic index, sets up out mill cement characteristic index transposed vectorMill 28 days comprcssive strength of cement is calculated according to formula (6) Discreet value.
The present invention enters to grind grog grade with can immediately obtain and goes out to grind cement characteristic index and include: screen over-size, compare table Area, burn tinctuer, calcium oxide content, content of magnesia, these characteristic indexs are all as going out to grind 28 days comprcssive strength of cement (28CSA) correlated variables of anticipation function.
In process of production, enter to grind grog grade by immediately obtain and go out to grind cement characteristic index (screen over-size, specific surface Long-pending, burn tinctuer, calcium oxide content, content of magnesia) set up out mill cement characteristic index transposed vectorSubstitute into out mill cement In 28 days comprcssive strength correlation function (6) formulas, estimated value-go out to grind 28 days comprcssive strength (28CSA) of cement can be obtained.
The embodiment of the present invention two is with the difference of embodiment one, increases by one and goes out to grind cement characteristic index: sulfur trioxide Content.In embodiment two, go out to grind 28 days Prediction of compressive strength methods of cement and comprise the following steps:
S1, set up out the 28 days comprcssive strength of the mill cement function model with correlated variables:
θ=(a0, a1, a2, a3, a4, a5)T (2)
In formula, u1(k), u2(k), u3(k), u4(k), u5(k), u6K () is for going out to grind cement characteristic index;
a0, a1, a2, a3, a4, a5, a6It is the correlation coefficient to grind cement characteristic index respectively;θ is the transposition of correlation coefficient Vector;Y (k) is to grind 28 days comprcssive strength vectors of cement;E (k) is random error;K=1,2 ..., N, N are natural number;This In correlated variables refer mainly to go out to grind cement characteristic index selected by this embodiment two.
S2, obtained out the historical record of mill cement characteristic index by informatization platform, set up correlation matrix, such as following formula:
In formulaIt it is correlation coefficient vector;Be byN × 7 matrix of structure;yNIt is to grind 28 days comprcssive strength of cement Vector;N is record number;Least-squares estimation can be used, obtain the correlation coefficient of function model, draw mill 28 days pressure resistances of cement Degree and the functional relationship of correlated variables, such as following formula:
In formulaIt is to grind cement comprcssive strength discreet value in 28 days;It is that instant acquisition draws mill cement characteristic index transposition Vector.
S3, instant acquisition go out to grind cement composition and granularity on cement producing line, obtain into mill grog grade and go out Mo Shui Mud characteristic index, sets up out mill cement characteristic index transposed vectorMill 28 days comprcssive strength of cement is calculated according to formula (6) Discreet value.
The present invention enters to grind grog grade with can immediately obtain and goes out to grind cement characteristic index and include: screen over-size, compare table Area, burn tinctuer, calcium oxide content, content of magnesia and sulfur trioxide content, these characteristic indexs are all as going out to grind cement 28 The correlated variables of it comprcssive strength (28CSA) anticipation function.
In process of production, enter to grind grog grade by immediately obtain and go out to grind cement characteristic index (screen over-size, specific surface Long-pending, burn tinctuer, calcium oxide content, content of magnesia, sulfur trioxide content) set up out mill cement characteristic index transposed vector Substitute into out in mill cement 28 days comprcssive strength correlation function formula (6), estimated value-go out to grind 28 days comprcssive strength of cement can be obtained (28CSA)。
The cement grinding mill that above-mentioned for present invention first embodiment is applied to Hubei cement company is obtained in production process, achieves Preferably effect.As in figure 2 it is shown, the cement grinding mill production process quality control system utilizing that said method realizes for the embodiment of the present invention The surface chart of system.Go out to grind 28 days comprcssive strength of cement and screen over-size, specific surface area, burn tinctuer, calcium oxide content, content of magnesia There is a kind of linear function relation, according to historical record, show that functional dependence coefficient is as follows:
θ ^ = 14.18585 - 1.305224 0.07353676 - 1.81076 0.4780188 - 2.326922
Pass through following formula:
y ^ = 1 1.0 334.6 3.57 58.671 3.243 T 14.18585 - 1.305224 0.07353676 - 1.81076 0.4780188 - 2.326922
Can obtain that currently to go out to grind 28 days strength prediction values of cement be 52.050MPa
Fig. 3 is 28 days cement compressive strength test value (dark) of the embodiment of the present invention and predictive value (light).
The method stated according to the present invention, actual 28 days intensity with estimate 28 days intensity (value of calculation) see following table:
By compare can be seen that 28 days comprcssive strength of the cement that immediately draws with 28 days after actual value the most identical, And, in some cases, it is also possible to by grog grade, discreet value is revised further.Actual value and the ratio of discreet value Relatively scheme as shown in Figure 3.
It should be appreciated that for those of ordinary skills, can be improved according to the above description or be converted, And all these modifications and variations all should belong to the protection domain of claims of the present invention.

Claims (8)

1. one kind goes out to grind 28 days Prediction of compressive strength methods of cement, it is characterised in that comprise the following steps:
S1, set up out the 28 days comprcssive strength of the mill cement function model with correlated variables:
θ=(a0, a1, a2, a3, a4, a5)T (2)
In formula, u1(k), u2(k), u3(k), u4(k), u5K () is for going out to grind cement characteristic index;
a0, a1, a2, a3, a4, a5It is the correlation coefficient to grind cement characteristic index respectively;θ is the transposed vector of correlation coefficient;y K () is to grind 28 days comprcssive strength vectors of cement;E (k) is random error;K=1,2..., N, N are natural number;
S2, obtained out the historical record of mill cement characteristic index by informatization platform, set up correlation matrix, such as following formula:
In formulaIt it is correlation coefficient vector;Be byN × 6 matrix of structure;yNBe to grind 28 days comprcssive strength of cement to Amount;N is record number;The correlation coefficient of Computation function model, and draw mill 28 days comprcssive strength of cement and the function of correlated variables Relation, such as following formula:
In formulaIt is to grind cement comprcssive strength discreet value in 28 days;Be instant obtain draw mill cement characteristic index transposition to Amount.
S3, instant acquisition go out to grind cement composition and granularity on cement producing line, obtain into mill grog grade and go out to grind cement spy Levy index, set up out mill cement characteristic index transposed vectorMill 28 days comprcssive strength of cement is calculated pre-according to formula (6) Valuation.
Method the most according to claim 1, it is characterised in that go out to grind cement characteristic index include screen over-size, specific surface area, Burn tinctuer, calcium oxide content and content of magnesia.
Method the most according to claim 2, it is characterised in that go out to grind 28 days comprcssive strength of cement and screen over-size, specific surface Amass, between burn tinctuer, calcium oxide content, content of magnesia, there is linear functional relation.
4. according to the method according to any one of claim 1-3, it is characterised in that with specific reference to historical record in step S2, Use least-squares estimation, obtain the correlation coefficient of mill cement characteristic index.
5. one kind goes out to grind 28 days Prediction of compressive strength methods of cement, it is characterised in that comprise the following steps:
S1, set up out the 28 days comprcssive strength of the mill cement function model with correlated variables:
θ=(a0, a1, a2, a3, a4, a5)T (2)
In formula, u1(k), u2(k), u3(k), u4(k), u5(k), u6K () is for going out to grind cement characteristic index;
a0, a1, a2, a3, a4, a5, a6It is the correlation coefficient to grind cement characteristic index respectively;θ is the transposed vector of correlation coefficient;y K () is to grind 28 days comprcssive strength vectors of cement;E (k) is random error;K=1,2..., N, N are natural number;
S2, obtained out the historical record of mill cement characteristic index by informatization platform, set up correlation matrix, such as following formula:
In formulaIt it is correlation coefficient vector;Be byN × 7 matrix of structure;yNBe to grind 28 days comprcssive strength of cement to Amount;N is record number;The correlation coefficient of Computation function model, draws mill 28 days comprcssive strength of cement and the functional relationships of correlated variables System, such as following formula:
In formulaIt is to grind cement comprcssive strength discreet value in 28 days;Be instant obtain draw mill cement characteristic index transposition to Amount.
S3, instant acquisition go out to grind cement composition and granularity on cement producing line, obtain into mill grog grade and go out to grind cement spy Levy index, set up out mill cement characteristic index transposed vectorMill 28 days comprcssive strength of cement is calculated pre-according to formula (6) Valuation.
Method the most according to claim 5, it is characterised in that go out to grind cement characteristic index include screen over-size, specific surface area, Burn tinctuer, calcium oxide content, content of magnesia and sulfur trioxide content.
Method the most according to claim 6, it is characterised in that go out to grind 28 days comprcssive strength of cement and screen over-size, specific surface Amass, between burn tinctuer, calcium oxide content, content of magnesia, sulfur trioxide content, there is linear functional relation.
8. according to the method according to any one of claim 5-7, it is characterised in that with specific reference to historical record in step S2, Use least-squares estimation, obtain the correlation coefficient of mill cement characteristic index.
CN201610545625.5A 2016-07-12 2016-07-12 Go out to grind 28 days Prediction of compressive strength methods of cement Pending CN106203705A (en)

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101929930A (en) * 2009-11-11 2010-12-29 深圳大学 Method for rapidly predicting 28-day colloidal mortar compression strength of cement
CN103674705A (en) * 2013-12-17 2014-03-26 深圳大学 Method for fast predicting compressive strength of cement in 24 hours

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101929930A (en) * 2009-11-11 2010-12-29 深圳大学 Method for rapidly predicting 28-day colloidal mortar compression strength of cement
CN103674705A (en) * 2013-12-17 2014-03-26 深圳大学 Method for fast predicting compressive strength of cement in 24 hours

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
马文波 等: "《根据熟料化学成分用Excel回归分析预测熟料28d 抗压强度》", 《水泥》 *

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Application publication date: 20161207