CN109115675A - A kind of Evaluating Soil Corrosivity method based on principle component analysis - Google Patents
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Abstract
The Evaluating Soil Corrosivity method based on principle component analysis that the invention discloses a kind of, it includes: acquisition Evaluating Soil Corrosivity variable factors；The Evaluating Soil Corrosivity variable factors of acquisition are standardized with the factor of evaluation variable after being standardized；Sample correlation matrix V is established, 12 eigenvalue λs of correlation matrix V are obtainediAnd feature vector ui；Characteristic value is sequentially arranged by size；Eigenvalue λiNumber of accumulative variance contribution ratio when reaching 85% or more be then pivot number, by feature vector uiWith standardization factor of evaluation variable Z1~Z12Standardization principal component model is obtained after linear combination；Soil corrosivity many index comprehensive evaluation model Y is established according to pivot weighted value；It solves the prior art Evaluating Soil Corrosivity evaluate using soil resistivity single index or cannot reflect the not high technical problem of soil corrosion degree and accuracy comprehensively using existing for comprehensive evaluation method.
Description
Technical field
The invention belongs to Evaluating Soil Corrosivity methods more particularly to a kind of soil corrosivity based on principle component analysis to comment
Valence method.
Background technique
Grounding net of transformer substation plays the reliability service of electric system and the personal safety of work of transformer substation personnel important
Operation.Grounded screen is chronically in the severe running environment in underground, by the corrosion of soil, causes to be grounded body section reduction, heat
Stability is inadequate, ground resistance increases, the serious safe and stable operation that can directly jeopardize electric system, therefore to grounded screen institute
Place's soil corrosivity is evaluated, and is Grounding Network Reconstruction, maintenance with directive significance.
Carry out Evaluating Soil Corrosivity method research in, be often related to pH value, water content, conductivity, organic matter,
Total nitrogen content, HCO3 -、Cl-、SO4 2-、Ca2+、Mg2+、K+、Na+.Etc. numerous factor of evaluation variables for influencing soil corrosivity.But with
Increasing for factor of evaluation variable, can not only increase the complexity of flesh calculating, but also increase reasonably problem analysis and explanation
The difficulty of problem.During Evaluating Soil Corrosivity, the influence factor that soil corrosivity is related to is numerous, closes between each factor
Connection degree is big, and conventional method is easy to cause factor information to reuse, and causes evaluation deviation.
In general, during Evaluating Soil Corrosivity, each factor of evaluation variable both provides certain information, but
Its importance is different.Simultaneously as having certain correlation between factor of evaluation variable, but also these variable factors cover
Information be overlapped to a certain extent.
At present there are many Evaluating Soil Corrosivity method, one is being evaluated merely with soil resistivity single index,
Consideration only has soil resistivity, cannot reflect soil corrosion degree comprehensively；Another kind is using comprehensive evaluation, mainly
Factor is carried out using Delphi (Delphi method) or analytic hierarchy process (AHP) (AHP) etc. and assigns power, this process is not eliminated between each factor
Synteny, and there are weight determine subjectivity.
Summary of the invention
The technical problem to be solved by the present invention is a kind of Evaluating Soil Corrosivity method based on principle component analysis is provided,
Evaluate or using comprehensive evaluation using soil resistivity single index to solve the prior art to Evaluating Soil Corrosivity
It cannot reflect the not high technical problem of soil corrosion degree and accuracy existing for evaluation comprehensively.
The technical scheme is that:
A kind of Evaluating Soil Corrosivity method based on principle component analysis, it includes:
Step 1, acquisition Evaluating Soil Corrosivity variable factors；
Step 2 is standardized the evaluation after being standardized to the Evaluating Soil Corrosivity variable factors of acquisition
Variable factors Zi, i=1,2 ..., 12；
Step 3 establishes sample correlation matrix V, obtains 12 eigenvalue λs of correlation matrix ViAnd feature vector ui；I=1,
2,......,12；Characteristic value is sequentially carried out to arrangement λ by size1≥λ2≥......≥λ12≥0；And calculate eigenvalue λiSide
Poor contribution rate WiWith accumulative variance contribution ratio αi。
Step 4 works as eigenvalue λiNumber of accumulative variance contribution ratio when reaching 85% or more, then be pivot number, it is right
In the sample correlation matrix that n sample is established, preceding 4 eigenvalue λs1, λ2, λ3, λ4Accumulative variance contribution ratio reach 85% with
On, by feature vector ui, i=1,2,3,4, with standardization factor of evaluation variable Z1~Z12Standardization pivot is obtained after linear combination
Model F1~F4；
Step 5 establishes soil corrosivity many index comprehensive evaluation model Y according to pivot weighted value.
It further include: the accuracy of step 6, contrast verification soil corrosivity many index comprehensive evaluation model: by drawing
Soil sample data processed substitute into the changing rule figure for the evaluation score value that soil corrosivity many index comprehensive evaluation model obtains, show
The corrosion rate changing rule figure of piece is buried in field, soil conductivity changing rule figure three carrys out the multinomial finger of contrast verification soil corrosivity
Mark the accuracy of comprehensive evaluation model.
It further include: step 7, that n soil corrosivity sample factor of evaluation corresponding data is substituted into soil corrosivity is multinomial
Index comprehensive evaluation model Y calculates soil corrosivity overall merit score value, and then evaluates soil corrosivity.
Evaluating Soil Corrosivity variable factors are acquired described in step 1, the variable includes soil: pH value, water content, electricity
Conductance, organic matter, total nitrogen content, HCO3 -、Cl-、SO4 2-、Ca2+、Mg2+、K+And Na+Content.
The Evaluating Soil Corrosivity variable factors of pair acquisition described in step 2 are standardized commenting after being standardized
Valence variable factors ZiMethod are as follows: dimensionless standardization is carried out to factor of evaluation variable using regular method, after obtaining standardization
Factor of evaluation variable Zi。
Sample correlation matrix V is established described in step 3, obtains 12 eigenvalue λs of correlation matrix ViAnd feature vector uiSide
Method are as follows: utilize the factor of evaluation variable Z after n soil corrosivity sample standardizationiCorrelation matrix V is established, decorrelation matrix V
Characteristic equation obtains 12 eigenvalue λs of correlation matrix ViAnd feature vector ui, i=1,2 ..., 12,
Eigenvalue λ is calculated described in step 3iVariance contribution ratio WiWith accumulative variance contribution ratio αiFormula are as follows:
Principal component model F is standardized described in step 41~F4Expression formula are as follows:
F1=-0.0280 × Z1-0.0834×Z2+0.3774×Z3-0.2481×Z4-0.2983×Z5-0.1819×Z6+
0.3227×Z7+0.3390×Z8+0.3293×Z9+0.2866×Z10+0.3489×Z11+0.3672×Z12；
F2=0.0997 × Z1+0.4559×Z2+0.2098×Z3+0.3600×Z4+0.2714×Z5+0.4102×Z6+
0.3318×Z7-0.1748×Z8-0.2286×Z9+0.1067×Z10+0.2998×Z11+0.2691×Z12；
F3=-0.7377 × Z1+0.3535×Z2+0.1103×Z3-0.0968×Z4-0.0705×Z5-0.3515×Z6+
0.1741×Z7-0.1778×Z8-0.1671×Z9-0.2567×Z10-0.1266×Z11+0.0954×Z12；
F4=-0.2764 × Z1+0.1743×Z2+0.0328×Z3+0.4203×Z4+0.3993×Z5-0.0342×Z6-
0.2809×Z7+0.4945×Z8+0.4793×Z9-0.0233×Z10-0.0135×Z11-0.0324×Z12。
The method that soil corrosivity many index comprehensive evaluation model Y is established according to pivot weighted value described in step 5 are as follows: benefit
Weight is calculated with each pivot contribution rate of Evaluating Soil Corrosivity, the data linear combination calculated with standardization principal component model,
Soil corrosivity comprehensive evaluation model Y is established,
The invention has the advantages that:
Avoid the blindness of prior art evaluation: the present invention is by choosing n soil corrosivity sample, and and soil
Relevant 12 influence factors of corrosivity carry out the foundation of soil corrosivity comprehensive evaluation model, as sample data increases, soil
The information that corrosion process includes is more, so that evaluation model is had scientific basis, objectivity, model is more accurate, in soil corrosion
Applicability is stronger in property evaluation procedure；Meanwhile the foundation of evaluation model simplifies Evaluating Soil Corrosivity program, it can be to soil
Extent of corrosion is evaluated, and the blindness of Evaluating Soil Corrosivity is avoided.
Increase the accuracy and operability of evaluation: the present invention be using principle component analysis on soil corrosivity influence because
Element is studied, and by the conversion and calculating to sample data and numerous influence factors, newly obtains a few pivot, they it
Between it is irrelevant, most information of original factor of evaluation variable can be represented, and substitute original factor of evaluation variable and participate in
Data modeling obtains soil corrosivity overall merit score value, greatly reduces the amount of calculation of analytic process, while after being
Evaluating Soil Corrosivity lays the foundation.The application of this method reduces information loss as far as possible, has comprehensively considered soil corrosivity
Many factors eliminate the synteny between each factor of evaluation, can more comprehensively reflect each during soil corrosion
Influence of the influence factor to soil corrosivity, and eliminate deviation caused by human factor, increase evaluation accuracy and can
Operability.
More can really reflect soil corrosion degree: the present invention objectively evaluates soil corrosion situation, power transformation
Station administration personnel can propose targetedly maintenance plan according to the evaluation result region more serious to soil corrosion, to prevent
Soil corrosion promotes the working life of grounded screen to the corrosion impact of grounded screen.
An effective tool is provided for Evaluating Soil Corrosivity: soil corrosivity overall merit side proposed by the present invention
Method, by the application surface in the management of actual Evaluating Soil Corrosivity, this method design is rationally, practical, specifies
Influence of each factor of evaluation variable to soil corrosion situation, and the extent of corrosion of soil can be evaluated, in Grounding Network Reconstruction, dimension
Shield aspect plays a significant role.
It solves the prior art and Evaluating Soil Corrosivity evaluate or using comprehensive using soil resistivity single index
The not high technical problem of soil corrosion degree and accuracy cannot be reflected existing for evaluation assessment evaluation comprehensively by closing.
Detailed description of the invention:
Fig. 1 is flow chart of the present invention.
Specific embodiment
A kind of Evaluating Soil Corrosivity method based on principle component analysis, it is comprehensive to establish soil corrosivity using principle component analysis
Close evaluation model；Using comprehensive evaluation model, obtains soil corrosivity overall merit score value, soil corrosivity is evaluated；
Wherein, described that soil corrosivity comprehensive evaluation model is established using principle component analysis, comprising: choose Evaluating Soil Corrosivity because
Plain variable；Factor of evaluation variable is standardized；Establish sample correlation matrix, calculate correlation matrix characteristic value and feature to
Amount；Evaluation sample pivot number is determined according to accumulative variance contribution ratio, by feature vector and standardization factor of evaluation linear variable displacement
Combination obtains standardization principal component model；Soil corrosivity comprehensive evaluation model is established according to pivot weight；Calculate soil corrosivity
Overall merit point, evaluates soil corrosion degree.
The Evaluating Soil Corrosivity variable factors are to choose 12 soil physical chemistry factors of soil as factor of evaluation
Variable, comprising: pH value, water content, conductivity, organic matter, total nitrogen content, HCO3 -、Cl-、SO4 2-、Ca2+、Mg2+、K+、Na+。
Described is standardized factor of evaluation variable, carries out dimensionless mark to factor of evaluation variable using regular method
Standardization, the factor of evaluation variable Z after being standardizedi, wherein i=1,2 ..., 12.
Described establishes sample correlation matrix, calculates the characteristic value and feature vector of correlation matrix, is rotten using n soil
Factor of evaluation variable Z after corrosion sample standardizationiCorrelation matrix V is established, the characteristic equation of decorrelation matrix V obtains correlation
12 eigenvalue λs of matrix Vi, wherein i=1,2 ..., 12 and feature vector ui, characteristic value is sequentially arranged by size
Arrange λ1≥λ2≥......≥λ12≥0；And calculate eigenvalue λiVariance contribution ratio WiWith accumulative variance contribution ratio αi。
Calculate eigenvalue λiVariance contribution ratio WiWith accumulative variance contribution ratio αiFormula are as follows:
Described obtains standardization principal component model, is to work as eigenvalue λiAccumulative variance contribution ratio when reaching 85% or more
Number is then pivot number, for the Evaluating Soil Corrosivity correlation matrix that n sample is established, preceding 4 eigenvalue λs1, λ2, λ3,
λ4Accumulative variance contribution ratio reach 85% or more, by feature vector ui, wherein i=1,2,3,4, become with standardization factor of evaluation
Measure Z1~Z12Standardization principal component model F is obtained after linear combination1~F4。
The standardization principal component model F1~F4Are as follows:
F1=-0.0280 × Z1-0.0834×Z2+0.3774×Z3-0.2481×Z4-0.2983×Z5-0.1819×Z6+
0.3227×Z7+0.3390×Z8+0.3293×Z9+0.2866×Z10+0.3489×Z11+0.3672×Z12；
F2=0.0997 × Z1+0.4559×Z2+0.2098×Z3+0.3600×Z4+0.2714×Z5+0.4102×Z6+
0.3318×Z7-0.1748×Z8-0.2286×Z9+0.1067×Z10+0.2998×Z11+0.2691×Z12；
F3=-0.7377 × Z1+0.3535×Z2+0.1103×Z3-0.0968×Z4-0.0705×Z5-0.3515×Z6+
0.1741×Z7-0.1778×Z8-0.1671×Z9-0.2567×Z10-0.1266×Z11+0.0954×Z12；
F4=-0.2764 × Z1+0.1743×Z2+0.0328×Z3+0.4203×Z4+0.3993×Z5-0.0342×Z6-
0.2809×Z7+0.4945×Z8+0.4793×Z9-0.0233×Z10-0.0135×Z11-0.0324×Z12。
Described establishes soil corrosivity many index comprehensive evaluation model according to pivot weight, is to utilize soil corrosivity
Each pivot contribution rate of evaluation calculates weight, and soil corrosion is established in the data linear combination calculated with standardization principal component model
Property comprehensive evaluation model Y,
The calculating soil corrosivity overall merit point, evaluates soil corrosion degree, is by n soil corrosion
Property sample factor of evaluation corresponding data substitute into soil corrosivity comprehensive evaluation model Y, calculate soil corrosivity overall merit score value,
And then evaluate soil corrosivity.
The accuracy of the contrast verification soil corrosivity comprehensive evaluation model is by drawing soil sample data generation
Enter changing rule figure, the live corrosion rate changing rule for burying piece of the evaluation score value that soil corrosivity comprehensive evaluation model obtains
Figure, soil conductivity changing rule figure three carry out the accuracy of contrast verification soil corrosivity model.
Described applies comprehensive evaluation model, evaluates soil corrosivity, is that will be evaluated Evaluating Soil Corrosivity
Factor information is directly substituted into standardization principal component model F1~F4In, obtain F1~F4Value, by F1~F4Value substitute into soil corrosion
Property comprehensive evaluation model Y obtain soil corrosivity overall merit score value, and then evaluate soil corrosivity.
Explanation is further refined to the present invention program with specific example with reference to the accompanying drawing:
Evaluating Soil Corrosivity method based on principle component analysis of the invention has introduced principle component analysis, by these
Factor of evaluation variable carries out linear transformation, obtains big absolutely provided by Etio. Ag variable to reflect for the few new factor variable of number
Partial information.Soil corrosion degree is evaluated by the analysis to new factor variable.
Evaluating Soil Corrosivity method based on principle component analysis of the invention, including soil is established using principle component analysis
Corrosivity comprehensive evaluation model, described establishes soil corrosivity comprehensive evaluation model using principle component analysis, comprising: chooses soil
Earth erosion analysis variable factors；Factor of evaluation variable is standardized；Sample correlation matrix is established, correlation matrix is calculated
Characteristic value and feature vector；Evaluation sample pivot number is determined according to accumulative variance contribution ratio, is commented by feature vector and standardization
Valence variable factors linear combination obtains standardization principal component model；Soil corrosivity comprehensive evaluation model is established according to pivot weight；
Soil corrosivity overall merit point is calculated, soil corrosion degree is evaluated.It further include thering is contrast verification soil corrosivity to comment
The accuracy of valence model.
Wherein, the use principle component analysis establishes soil corrosivity comprehensive evaluation model, specifically:
1) the Evaluating Soil Corrosivity variable factors described in be choose soil 12 soil physical chemistry factors as evaluation because
Plain variable carries out Evaluating Soil Corrosivity model foundation, and with the increase of sample size, model will be more accurate, and applicability is more
By force.12 soil physical chemistry factors: including: pH value, water content, conductivity, organic matter, total nitrogen content, HCO3 -、Cl-、SO4 2-、Ca2 +、Mg2+、K+、Na+。
2) during carrying out Evaluating Soil Corrosivity, different factor of evaluation variables often has different dimensions, dimension
Difference will lead to each factor of evaluation variable-value degree of scatter it is larger, and population variance is then mainly by the biggish variable of variance
Control, will cause the inaccuracy of evaluation result.It, be to factor of evaluation variable in order to eliminate the possible influence of difference of dimension
It is standardized, dimensionless standardization is carried out to factor of evaluation variable using regular method, the factor of evaluation after being standardized
Variable Zi, wherein i=1,2 ..., 12, so as to improve result objectivity and accuracy.
3) sample correlation matrix is established described in, calculates the characteristic value and feature vector of correlation matrix, is to utilize n soil
Factor of evaluation variable Z after corrosivity sample standardizationiCorrelation matrix V is established, the characteristic equation of decorrelation matrix V obtains phase
Close 12 eigenvalue λs of matrix Vi, wherein i=1,2 ..., 12 and feature vector ui, characteristic value is sequentially carried out by size
Arrange λ1≥λ2≥......≥λ12≥0。
4) standardization principal component model is obtained described in, is to work as eigenvalue λiAccumulative variance contribution ratio when reaching 85% or more
Number, then be pivot number, for n sample establish Evaluating Soil Corrosivity correlation matrix, preceding 4 eigenvalue λs1, λ2,
λ3, λ4Accumulative variance contribution ratio reach 85% or more (being shown in Table 1), by eigenvalue λi(i=1,2 ..., 12) corresponding spy
Levy vector ui, wherein i=1,2,3,4 (being shown in Table 2), with standardization factor of evaluation variable Z1~Z12It is standardized after linear combination
Principal component model F1~F4。
The characteristic value and variance contribution ratio of 1 matrix R of table
The eigenvalue λ of matrix1, λ2, λ3, λ4Corresponding feature vector u1~u4Such as table 2:
The corresponding feature vector table u of 2 characteristic value of table1~u4
The standardization principal component model F1~F4Are as follows:
F1=-0.0280 × Z1-0.0834×Z2+0.3774×Z3-0.2481×Z4-0.2983×Z5-0.1819×Z6+
0.3227×Z7+0.3390×Z8+0.3293×Z9+0.2866×Z10+0.3489×Z11+0.3672×Z12；
F2=0.0997 × Z1+0.4559×Z2+0.2098×Z3+0.3600×Z4+0.2714×Z5+0.4102×Z6+
0.3318×Z7-0.1748×Z8-0.2286×Z9+0.1067×Z10+0.2998×Z11+0.2691×Z12；
F3=-0.7377 × Z1+0.3535×Z2+0.1103×Z3-0.0968×Z4-0.0705×Z5-0.3515×Z6+
0.1741×Z7-0.1778×Z8-0.1671×Z9-0.2567×Z10-0.1266×Z11+0.0954×Z12；
F4=-0.2764 × Z1+0.1743×Z2+0.0328×Z3+0.4203×Z4+0.3993×Z5-0.0342×Z6-
0.2809×Z7+0.4945×Z8+0.4793×Z9-0.0233×Z10-0.0135×Z11-0.0324×Z12
5) soil corrosivity many index comprehensive evaluation model is established according to pivot weight described in, is to utilize soil corrosion
Property evaluation each pivot contribution rate calculate weight, with standardization principal component model calculate data linear combination, establish soil corruption
Corrosion comprehensive evaluation model Y,
6) the calculating soil corrosivity overall merit point described in, evaluates soil corrosion degree, is that n soil is rotten
Corrosion sample factor of evaluation corresponding data substitutes into soil corrosivity comprehensive evaluation model Y, calculates soil corrosivity overall merit point
Value, and then evaluate soil corrosivity.
7) accuracy of the contrast verification soil corrosivity comprehensive evaluation model described in is by drawing soil sample data
Substitute into the changing rule figure for the evaluation score value that soil corrosivity comprehensive evaluation model obtains, the live corrosion rate variation for burying piece is advised
Rule figure, soil conductivity changing rule figure three carry out the accuracy of contrast verification soil corrosivity model.
The accuracy of contrast verification soil corrosivity comprehensive evaluation model in the present invention, specifically:
Evaluating Soil Corrosivity factor information will be evaluated and be directly substituted into standardization principal component model F1~F4In, obtain F1~
F4Value, by F1~F4Value substitute into soil corrosivity comprehensive evaluation model Y obtain overall merit score value, draw out synthesis respectively
Evaluation score value changing rule figure, piece corrosion rate changing rule figure is buried at scene and soil conductivity changing rule figure is tested to compare
Demonstrate,prove the accuracy of soil corrosivity comprehensive evaluation model.
It obtains overall merit score value changing rule by comparing analysis and buries piece corrosion rate changing rule with scene extremely kissing
Close, and to bury piece corrosion rate changing rule deviation very big for soil conductivity changing rule and scene, it is seen that use based on pivot
The Evaluating Soil Corrosivity model of analytic approach is feasible.
Claims (9)
1. a kind of Evaluating Soil Corrosivity method based on principle component analysis, it includes:
Step 1, acquisition Evaluating Soil Corrosivity variable factors；
Step 2 is standardized the factor of evaluation after being standardized to the Evaluating Soil Corrosivity variable factors of acquisition
Variable Zi, i=1,2 ..., 12；
Step 3 establishes sample correlation matrix V, obtains 12 eigenvalue λs of correlation matrix ViAnd feature vector ui；I=1,
2,......,12；Characteristic value is sequentially carried out to arrangement λ by size1≥λ2≥......≥λ12≥0；And calculate eigenvalue λiSide
Poor contribution rate WiWith accumulative variance contribution ratio αi；
Step 4 works as eigenvalue λiNumber of accumulative variance contribution ratio when reaching 85% or more, then be pivot number, for n
The sample correlation matrix that sample is established, preceding 4 eigenvalue λs1, λ2, λ3, λ4Accumulative variance contribution ratio reach 85% or more, by spy
Levy vector ui, i=1,2,3,4, with standardization factor of evaluation variable Z1~Z12Standardization principal component model F is obtained after linear combination1~
F4；
Step 5 establishes soil corrosivity many index comprehensive evaluation model Y according to pivot weighted value.
2. a kind of Evaluating Soil Corrosivity method based on principle component analysis according to claim 1, it is characterised in that: it
Further include: the accuracy of step 6, contrast verification soil corrosivity many index comprehensive evaluation model: by drawing soil sample
Data substitute into the changing rule figure for the evaluation score value that soil corrosivity many index comprehensive evaluation model obtains, the live corruption for burying piece
Erosion rate changing rule figure, soil conductivity changing rule figure three carry out contrast verification soil corrosivity many index overall merit
The accuracy of model.
3. a kind of Evaluating Soil Corrosivity method based on principle component analysis according to claim 1, it is characterised in that: it
Further include: step 7 comments n soil corrosivity sample factor of evaluation corresponding data substitution soil corrosivity many index synthesis
Valence model Y calculates soil corrosivity overall merit score value, and then evaluates soil corrosivity.
4. a kind of Evaluating Soil Corrosivity method based on principle component analysis according to claim 1, it is characterised in that: step
The rapid 1 acquisition Evaluating Soil Corrosivity variable factors, the variable includes soil: pH value, water content, conductivity, organic
Matter, total nitrogen content, HCO3 -、Cl-、SO4 2-、Ca2+、Mg2+、K+And Na+Content.
5. a kind of Evaluating Soil Corrosivity method based on principle component analysis according to claim 1, it is characterised in that: step
The Evaluating Soil Corrosivity variable factors of rapid 2 described pairs of acquisitions are standardized the factor of evaluation variable after being standardized
ZiMethod are as follows: dimensionless standardization is carried out to factor of evaluation variable using regular method, the factor of evaluation after being standardized
Variable Zi。
6. a kind of Evaluating Soil Corrosivity method based on principle component analysis according to claim 1, it is characterised in that: step
Rapid 3 it is described establish sample correlation matrix V, obtain 12 eigenvalue λs of correlation matrix ViAnd feature vector uiMethod are as follows: utilize n
Factor of evaluation variable Z after a soil corrosivity sample standardizationiEstablish correlation matrix V, the characteristic equation of decorrelation matrix V,
Obtain 12 eigenvalue λs of correlation matrix ViAnd feature vector ui, i=1,2 ..., 12.
7. a kind of Evaluating Soil Corrosivity method based on principle component analysis according to claim 1, it is characterised in that: step
The rapid 3 calculating eigenvalue λiVariance contribution ratio WiWith accumulative variance contribution ratio αiFormula are as follows:
8. a kind of Evaluating Soil Corrosivity method based on principle component analysis according to claim 1, it is characterised in that: step
The rapid 4 standardization principal component model F1~F4Expression formula are as follows:
F1=-0.0280 × Z1-0.0834×Z2+0.3774×Z3-0.2481×Z4-0.2983×Z5-0.1819×Z6+
0.3227×Z7+0.3390×Z8+0.3293×Z9+0.2866×Z10+0.3489×Z11+0.3672×Z12；
F2=0.0997 × Z1+0.4559×Z2+0.2098×Z3+0.3600×Z4+0.2714×Z5+0.4102×Z6+0.3318
×Z7-0.1748×Z8-0.2286×Z9+0.1067×Z10+0.2998×Z11+0.2691×Z12；
F3=-0.7377 × Z1+0.3535×Z2+0.1103×Z3-0.0968×Z4-0.0705×Z5-0.3515×Z6+
0.1741×Z7-0.1778×Z8-0.1671×Z9-0.2567×Z10-0.1266×Z11+0.0954×Z12；
F4=-0.2764 × Z1+0.1743×Z2+0.0328×Z3+0.4203×Z4+0.3993×Z5-0.0342×Z6-
0.2809×Z7+0.4945×Z8+0.4793×Z9-0.0233×Z10-0.0135×Z11-0.0324×Z12。
9. a kind of Evaluating Soil Corrosivity method based on principle component analysis according to claim 1, it is characterised in that: step
Rapid 5 methods that soil corrosivity many index comprehensive evaluation model Y is established according to pivot weighted value are as follows: utilize soil corrosion
Property evaluation each pivot contribution rate calculate weight, with standardization principal component model calculate data linear combination, establish soil corruption
Corrosion comprehensive evaluation model Y,
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| CN111089831A (en) * | 2020-01-03 | 2020-05-01 | 北京科技大学 | Corrosion resistance evaluation method of low-alloy structural steel |
| CN111160788A (en) * | 2019-12-31 | 2020-05-15 | 南京天溯自动化控制系统有限公司 | Method and device for detecting working quality of hospital logistics personnel and computer equipment |
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