CN110414047A - A method of it is evaluated for telecommunication transmission equipment health status - Google Patents
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Abstract
The invention discloses a kind of methods for the evaluation of telecommunication transmission equipment health status to obtain index set matrix including carrying out feature extraction to the sample data got；It is individually given a mark to each index in the index set matrix, obtains score matrix；Fuzzy Level Analytic Approach modeling is carried out based on the index set matrix, obtains the first weight vectors；Information Entropy modeling is improved based on the index set matrix, obtains the second weight vectors；Using comprehensive first weight vectors of the method for game theory and the second weight vectors, third weight vectors are obtained；Comprehensive score based on the score matrix and each telecommunication transmission equipment of third weight vector computation completes the evaluation of telecommunication transmission equipment health status.The present invention is directed to the defect that traditional analytic hierarchy process (AHP) frequently does consistency check and improves, it is made to use simpler convenience；The defect that negative valued data cannot be handled for Information Entropy is improved, its use scope has been widened.
Description
Technical field
The invention belongs to status of electric power assessment technique fields, and in particular to one kind is used for telecommunication transmission equipment health shape
The method of state evaluation.
Background technique
The health degree evaluation modeling of electric power optic communication transmission device is actually to determine the process of evaluation criterion weight.Mesh
There are two main classes for the method for preceding determining index weights, i.e. subjective weighting method and objective weighted model.Subjective weighting method is according to people
The subjective attention degree to each evaluation index determines a kind of method of weight, such as Delphi method, binomial coefficient method, step analysis
Method, ring are than point system etc..Objective weighted model is the size of foundation raw information amount to determine corresponding index weights, mainly there is master
Componential analysis, equal method, Information Entropy etc..Subjective weighting method and objective weighted model have respective advantage and disadvantage.Subjective weighting method
Determining weight reflects the intention of policymaker, and the subjective impact for being evaluated main body is big, has certain subjectivity.Objective Weight
Method relies primarily on complete mathematical theory and method, from objective data, has ignored the subjective information of policymaker, does not consider to refer to
The difference of sample body, and ignore its real conditions.
Classical analytic hierarchy process (AHP) is generally divided into three steps: it establishes structural model, Judgement Matricies and calculates weight,
Need to first determine whether the consistency of its judgment matrix before calculating weight, if inconsistent will also rebuild, this makes layer
The deterministic process of fractional analysis seems relatively complicated.The operation of logarithm and entropy is added in classical Information Entropy calculating process, by
Negative value or extremum in achievement data cannot directly calculate corresponding weighted value, so needing to change traditional Information Entropy
Into doing non-negative standardization to data.
Summary of the invention
In view of the above-mentioned problems, the present invention proposes a kind of method for the evaluation of telecommunication transmission equipment health status, use is comprehensive
Improved entropy method and improved AHP method modeling are closed, realizes and health degree evaluation is carried out to electric power optic communication transmission device.
In order to achieve the above technical purposes, reach above-mentioned technical effect, the invention is realized by the following technical scheme:
A method of it is evaluated for telecommunication transmission equipment health status, comprising:
Feature extraction is carried out to the sample data got, obtains index set matrix；
It is individually given a mark to each index in the index set matrix, obtains score matrix；
Fuzzy Level Analytic Approach modeling is carried out based on the index set matrix, obtains the first weight vectors；
Information Entropy modeling is improved based on the index set matrix, obtains the second weight vectors；
Using comprehensive first weight vectors of the method for game theory and the second weight vectors, third weight vectors are obtained；
Comprehensive score based on the score matrix and each telecommunication transmission equipment of third weight vector computation completes communication
The evaluation of transmission device health status.
Preferably, before the described pair of sample data progress characteristic extraction step got further include:
The sample data got is cleaned, irrelevant variable is deleted, fills null value using median, is compiled using only heat
Code processing character type data, are then normalized.
Preferably, the described pair of sample data got carries out feature extraction, obtains index set matrix, specifically:
Feature extraction is carried out to the sample data got, obtains index set, the expression formula of the index set is A=
{a1,a2,…,an, a1,a2,…,anIndicate each index；
Based on the index set, index set matrix, the expression formula of the index set matrix are obtained are as follows:
In formula, aijFor the numerical value of j-th of feature of i-th of sample, m is number of samples, and n is characterized dimension.
Preferably, described that Fuzzy Level Analytic Approach modeling is carried out based on the index set matrix, the first weight vectors are obtained, are had
Body are as follows:
Fuzzy consistent matrix is established based on the index set matrix；
If the Fuzzy consistent matrix is unsatisfactory for consistency, the Fuzzy consistent matrix is adjusted according to the following steps
Whole: the first step determines the safe element of judgement obtained compared with remaining element importance；Second step, with described
First row element of Fuzzy consistent matrix subtracts the second row corresponding element, if resulting n difference is constant, is not required to adjustment the
Otherwise two row elements are adjusted the second row element, until the difference that the first row element subtracts the corresponding element of the second row is normal
Until number；Abovementioned steps are repeated until the first row element subtracts the difference of line n element as constant；
Each index a is asked by the Fuzzy consistent matrix1,a2,…,anWeighted value w1,w2,…,wn, solve following linear equation
Group:
In formula, 0 < a≤0.5 indicates people to a kind of measurement of the difference degree of institute's perceptive object, with evaluation object number
Related with difference degree, the first weight vectors W can be acquired by solving this described system of linear equations1=(w11,w12,…,w1n)T, rijFor
The element that the i-th row jth arranges in Fuzzy consistent matrix, rji=1-rij。
Preferably, described that Information Entropy modeling is improved based on the index set matrix, the second weight vectors are obtained, specifically
Are as follows:
Nonnegative number processing is carried out to the index set matrix；
Calculate the specific gravity of i-th of sample index under jth item index；
The entropy of j indexs is calculated based on the specific gravity；
The coefficient of variation of jth item index is calculated based on the entropy；
The second weight vectors are calculated based on the coefficient of variation.
It is preferably, described that nonnegative number processing is carried out to the index set matrix specifically:
For the index being the bigger the better, formula is handled are as follows:
For the smaller the better index, formula is handled are as follows:
In formula, aij' for m-th of sample j-th of feature numerical value by nonnegative numberization treated value, m is sample
Number, n are characterized dimension.
Preferably, the calculation formula of the specific gravity are as follows:
The calculation formula of the entropy are as follows:
It takesThen 0≤e≤1
The calculation formula of the coefficient of variation are as follows:
gj=1-ej；
The calculation formula of second weight vectors are as follows:
W2=(w21,w22,…,w2n)T
In formula, m is number of samples, and n is characterized dimension.
Preferably, comprehensive first weight vectors of the method using game theory and the second weight vectors obtain the
Three weight vectors, specifically:
Comprehensive weight, the expression formula of the comprehensive weight are obtained based on first weight vectors and the second weight vectors
Are as follows:
W=α1W1+α2W2
In formula, 0 < α1< 1, α2=1- α1；W1For the first weight vectors, W2For the second weight vectors；
Problem can be converted by solving best comprehensive weight: min | | α1W1+α2W2-Wi| | (i=1,2), according to first derivative item
Part is obtained about α1,α2System of linear equations:
It solves above-mentioned system of linear equations and obtains (α1,α2)；
To obtained (α1,α2) be normalized
Finally obtaining the third weight vectors is
Preferably, the expression formula of the comprehensive score specifically:
Score=S × W*
In formula, S is score matrix；W* is third weight vectors.
Preferably, the index in the index set matrix includes: ageing rate, failure-frequency, emergency frequency, urgent event
Hinder frequency, defect frequency, urgent defect frequency, repair rate, ad hoc inspection and repair frequency, master control borad situation, cross board situation, power supply
Plate situation, interface board situation, computer room temperature, computer room humidity, whether independent multiple power supplies, receive optical power, luminous power, light decay,
Severely Errored Second.
Compared with prior art, beneficial effects of the present invention:
The transmission device health assessment method of the prior art is individually to consider subjective weighting method or objective weighted model, very
It is rare comprehensively consider two kinds of evaluation methods, the intention of policymaker was both considered, it is also contemplated that data intrinsic values.For
This, the present invention is directed to the defect that traditional analytic hierarchy process (AHP) frequently does consistency check and improves, and uses it simpler
Folk prescription is just；The defect that negative valued data cannot be handled for Information Entropy is improved, its use scope has been widened.
Detailed description of the invention
In order that the present invention can be more clearly and readily understood, right below according to specific embodiment and in conjunction with attached drawing
The present invention is described in further detail, in which:
Fig. 1 is the process signal of the method for the evaluation of telecommunication transmission equipment health status of an embodiment of the present invention
Figure.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
It limits the scope of protection of the present invention.
Application principle of the invention is explained in detail with reference to the accompanying drawing.
As shown in Figure 1, the present invention provides a kind of method for the evaluation of telecommunication transmission equipment health status, including it is following
Step:
(1) feature extraction is carried out to the sample data got, obtains index set matrix；
In a specific embodiment of the invention, before the described pair of sample data progress characteristic extraction step got
Further include:
The sample data got is cleaned, irrelevant variable is deleted, fills null value using median, is compiled using only heat
Code processing character type data, are then normalized；
The described pair of sample data got carries out feature extraction, obtains index set matrix, specifically:
Feature extraction is carried out to the sample data got, obtains index set, the expression formula of the index set is A={ a1,
a2,…,an, a1,a2,…,anIndicate each index；
Based on the index set, index set matrix, the expression formula of the index set matrix are obtained are as follows:
In formula, aijFor the numerical value of j-th of feature of i-th of sample, m is number of samples, and n is characterized dimension；The index
Index in collection matrix includes: ageing rate, failure-frequency, emergency frequency, emergency frequency, defect frequency, promptly lacks
Fall into frequency, repair rate, ad hoc inspection and repair frequency, master control borad situation, cross board situation, power panel situation, interface board situation, computer room
Temperature, computer room humidity, whether independent multiple power supplies, receive optical power, luminous power, light decay, Severely Errored Second.
(2) it is individually given a mark (100 points of systems) to each index in the index set matrix, obtains score matrix；
Since the step is using the prior art, excessive repeat is not done in the present invention；
(3) Fuzzy Level Analytic Approach modeling is carried out based on the index set matrix, obtains the first weight vectors；
In a specific embodiment of the invention, the step (3) specifically includes the following steps:
(3.1) Fuzzy consistent matrix R=(r is established based on the index set matrixij)n×n, wherein element rijValue ginseng
Examine following scale；
(3.2) if the Fuzzy consistent matrix is unsatisfactory for consistency, to the Fuzzy consistent matrix according to the following steps into
Row adjustment: the first step determines the safe element of judgement obtained compared with remaining element importance, does not lose general
Property, if policymaker thinks to judging r11,r12,…,r1nCompare sure；Second step, with the first row of the Fuzzy consistent matrix
Element subtracts the second row corresponding element, if resulting n difference is constant, the second row element of adjustment is not required to, otherwise, to second
Row element is adjusted, until the first row element subtract the corresponding element of the second row difference be constant until；Repeat abovementioned steps
Until the first row element subtracts the difference of line n element as constant；
Each index a is asked by the Fuzzy consistent matrix1,a2,…,anWeighted value w1,w2,…,wn, solve following linear equation
Group:
In formula, 0 < a≤0.5 indicates people to a kind of measurement of the difference degree of institute's perceptive object, with evaluation object number
Related with difference degree, when evaluating number or larger difference degree, a can take biggish value.Solving this equation group can acquire
First weight vectors W1=(w11,w12,…,w1n)T。
(4) Information Entropy modeling is improved based on the index set matrix, obtains the second weight vectors；
In a kind of specific embodiment of the embodiment of the present invention, the step (4) specifically includes the following steps:
(4.1) nonnegative number processing is carried out to the index set matrix；
It is preferably, described that nonnegative number processing is carried out to the index set matrix specifically:
For the index being the bigger the better, formula is handled are as follows:
For the smaller the better index, formula is handled are as follows:
In formula, aij' for m-th of sample j-th of feature numerical value by nonnegative numberization treated value, m is sample
Number, n are characterized dimension.
(4.2) specific gravity of i-th of sample index under jth item index is calculated；
Preferably, the calculation formula of the specific gravity are as follows:
(4.3) entropy of j indexs is calculated based on the specific gravity；
Preferably, the calculation formula of the entropy are as follows:
It takesThen 0≤e≤1；
(4.4) coefficient of variation of jth item index is calculated based on the entropy；
Preferably, the calculation formula of the coefficient of variation are as follows:
gj=1-ej；
(4.5) the second weight vectors are calculated based on the coefficient of variation.
The calculation formula of second weight vectors are as follows:
W2=(w21,w22,…,w2n)T
(5) using comprehensive first weight vectors of the method for game theory and the second weight vectors, obtain third weight to
Amount；
In a specific embodiment of the invention, the step (5) specifically includes the following steps:
(5.1) comprehensive weight, the table of the comprehensive weight are obtained based on first weight vectors and the second weight vectors
Up to formula are as follows:
W=α1W1+α2W2
In formula, 0 < α1< 1, α2=1- α1；W1For the first weight vectors, W2For the second weight vectors；
(5.2) problem can be converted by solving best comprehensive weight: min | | α1W1+α2W2-Wi| | (i=1,2), according to single order
Derivative condition, obtains about α1,α2System of linear equations:
(5.3) it solves above-mentioned system of linear equations and obtains (α1,α2)；
(5.4) to obtained (α1,α2) be normalized
(5.5) finally obtaining the third weight vectors is
(6) comprehensive score based on the score matrix and each telecommunication transmission equipment of third weight vector computation is completed
The evaluation of telecommunication transmission equipment health status.
Preferably, the expression formula of the comprehensive score specifically:
score=S × W*
In formula, S is score matrix；W*For third weight vectors.
Further, the step (6) further include:
Transmission device health status is allocated to by following level to be evaluated:
The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this
The principle of invention, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes
Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appended claims and its
Equivalent thereof.
Claims (10)
1. a kind of method for the evaluation of telecommunication transmission equipment health status characterized by comprising
Feature extraction is carried out to the sample data got, obtains index set matrix；
It is individually given a mark to each index in the index set matrix, obtains score matrix；
Fuzzy Level Analytic Approach modeling is carried out based on the index set matrix, obtains the first weight vectors；
Information Entropy modeling is improved based on the index set matrix, obtains the second weight vectors；
Using comprehensive first weight vectors of the method for game theory and the second weight vectors, third weight vectors are obtained；
Comprehensive score based on the score matrix and each telecommunication transmission equipment of third weight vector computation completes communications
The evaluation of equipment health status.
2. a kind of method for the evaluation of telecommunication transmission equipment health status according to claim 1, it is characterised in that: institute
It states to before the sample data progress characteristic extraction step got further include:
The sample data got is cleaned, irrelevant variable is deleted, null value is filled using median, at one-hot coding
Character type data is managed, is then normalized.
3. a kind of method for the evaluation of telecommunication transmission equipment health status according to claim 1, it is characterised in that: institute
It states and feature extraction is carried out to the sample data got, obtain index set matrix, specifically:
Feature extraction is carried out to the sample data got, obtains index set, the expression formula of the index set is A={ a1,
a2,…,an, a1,a2,…,anIndicate each index；
Based on the index set, index set matrix, the expression formula of the index set matrix are obtained are as follows:
In formula, aijFor the numerical value of j-th of feature of i-th of sample, m is number of samples, and n is characterized dimension.
4. a kind of method for the evaluation of telecommunication transmission equipment health status according to claim 1, it is characterised in that: institute
It states and Fuzzy Level Analytic Approach modeling is carried out based on the index set matrix, obtain the first weight vectors, specifically:
Fuzzy consistent matrix is established based on the index set matrix；
If the Fuzzy consistent matrix is unsatisfactory for consistency, the Fuzzy consistent matrix is adjusted according to the following steps: the
One step determines the safe element of judgement obtained compared with remaining element importance；Second step, with described fuzzy one
It causes the first row element of matrix to subtract the second row corresponding element, if resulting n difference is constant, is not required to adjustment the second row member
Otherwise element is adjusted the second row element, until the difference that the first row element subtracts the corresponding element of the second row is that constant is
Only；Abovementioned steps are repeated until the first row element subtracts the difference of line n element as constant；
Each index a is asked by the Fuzzy consistent matrix1,a2,…,anWeighted value w1,w2,…,wn, solve following system of linear equations:
In formula, 0 < a≤0.5 indicates people to a kind of measurement of the difference degree of institute's perceptive object, with evaluation object number and difference
Off course degree is related, and the first weight vectors W can be acquired by solving this described system of linear equations1=(w11,w12,…,w1n)T, rijIt is fuzzy
The element that the i-th row jth arranges in Consistent Matrix, rji=1-rij。
5. a kind of method for the evaluation of telecommunication transmission equipment health status according to claim 1, it is characterised in that: institute
It states and Information Entropy modeling is improved based on the index set matrix, obtain the second weight vectors, specifically:
Nonnegative number processing is carried out to the index set matrix；
Calculate the specific gravity of i-th of sample index under jth item index；
The entropy of j indexs is calculated based on the specific gravity；
The coefficient of variation of jth item index is calculated based on the entropy；
The second weight vectors are calculated based on the coefficient of variation.
6. a kind of method for the evaluation of telecommunication transmission equipment health status according to claim 5, it is characterised in that: institute
It states and nonnegative number processing is carried out to the index set matrix specifically:
For the index being the bigger the better, formula is handled are as follows:
For the smaller the better index, formula is handled are as follows:
In formula, aij' for m-th of sample j-th of feature numerical value by nonnegative numberization treated value, m is number of samples, n
It is characterized dimension.
7. a kind of method for the evaluation of telecommunication transmission equipment health status according to claim 5, it is characterised in that: institute
State the calculation formula of specific gravity are as follows:
The calculation formula of the entropy are as follows:
It takesThen 0≤e≤1
The calculation formula of the coefficient of variation are as follows:
gj=1-ej；
The calculation formula of second weight vectors are as follows:
W2=(w21,w22,…,w2n)T
In formula, m is number of samples, and n is characterized dimension.
8. a kind of method for the evaluation of telecommunication transmission equipment health status according to claim 1, it is characterised in that: institute
It states using comprehensive first weight vectors of method of game theory and the second weight vectors, obtains third weight vectors, specifically:
Comprehensive weight, the expression formula of the comprehensive weight are obtained based on first weight vectors and the second weight vectors are as follows:
W=α1W1+α2W2
In formula, 0 < α1< 1, α2=1- α1；W1For the first weight vectors, W2For the second weight vectors；
Problem can be converted by solving best comprehensive weight: min | | α1W1+α2W2-Wi| | (i=1,2), according to first derivative condition,
It obtains about α1,α2System of linear equations:
It solves above-mentioned system of linear equations and obtains (α1,α2)；
To obtained (α1,α2) be normalized
Finally obtaining the third weight vectors is
9. a kind of method for the evaluation of telecommunication transmission equipment health status according to claim 1, it is characterised in that: institute
State the expression formula of comprehensive score specifically:
Score=S × W*
In formula, S is score matrix；W*For third weight vectors.
10. a kind of method for the evaluation of telecommunication transmission equipment health status according to claim 1, it is characterised in that:
Index in the index set matrix includes: ageing rate, failure-frequency, emergency frequency, emergency frequency, defect frequency
Rate, urgent defect frequency, repair rate, ad hoc inspection and repair frequency, master control borad situation, cross board situation, power panel situation, interface board
Situation, computer room temperature, computer room humidity, whether independent multiple power supplies, receive optical power, luminous power, light decay, Severely Errored Second.
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| CN116633434A (en) * | 2023-07-24 | 2023-08-22 | 北京翌特视讯科技有限公司 | Transmission monitoring method and system of multifunctional integrated service optical transceiver |
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