CN110031790A - Electric energy meter Mission Capability detection method and device - Google Patents
Electric energy meter Mission Capability detection method and device Download PDFInfo
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Abstract
The present invention provides a kind of electric energy meter Mission Capability detection method and device, wherein this method comprises: being extended to the task execution data of each electric energy meter to be detected in time domain, obtains the time domain extension sampled data of each electric energy meter to be detected；Sampled data is extended according to the time domain of all electric energy meters to be detected, constructs raw data matrix, and determines the corresponding covariance matrix of raw data matrix；Determine covariance matrix characteristic value and corresponding eigenvectors matrix；According to principal component quantity, default feature vector, composition interception eigenvectors matrix are selected from described eigenvector matrix；According to interception eigenvectors matrix and raw data matrix, principal component matrix is determined；According to principal component matrix, electric energy meter Mission Capability is detected.Above-mentioned technical proposal realizes the task data for considering timing and task execution success or not composition Boolean quantity, to detect electric energy meter Mission Capability.
Description
Technical field
The present invention relates to electric energy meter technical field, in particular to a kind of electric energy meter Mission Capability detection method and dress
It sets.
Background technique
In order to further play intelligent electric energy meter assets benefit, power grid operation cost is reduced, power supply reliability and use are improved
Numerous studies and application have been done in the non-metering function of intelligent electric energy meter by family satisfaction, company.The advanced application of intelligent electric energy meter is
As the important means of distribution operation management, company expands the non-metering functional development and application of metering collecting system, has established
Kind Data Share System, the working rules of formulation each professional application of intelligent electric energy meter data supporting, fortune is effectively supported to examine comprehensively,
The expert datas demands such as development, peace matter.In order to support related work, need to existing area's full carrier, half carrier wave, bandwidth carrier
The acquisition tasks executive capability and local network ability of electric energy meter are detected under equal communication modes.At present to picking platform area
The detection mode that the acquisition capacity and local network of electric energy meter are not quantified, therefore main website majority evidence need to be integrated and adopted
Collection, when take control, school, the tasks such as price adjustment, in conjunction with local communi-cation channel communication monitoring, realization electric energy meter Mission Capability is measured
Change and operable detection.The shortcomings that existing Mission Capability detection scheme to electric energy meter, is as follows.
Firstly, in the prior art, the performance of electric energy meter measures in laboratory conditions often through various laboratory facilities
Obtained experiment value, these experiment values are a specific number, be can be obtained centainly by many experiments on this basis
The sample data of amount can be detected the correlated performance of electric energy meter, a kind of typical sample number by carrying out analysis to sample data
It is principal component analysis and k means Method according to analysis method.But the object that this method is directed to is numerical value sample data, and it is electric
Can table execute task data be usually whether task execution succeeds, i.e., task execution data be only success or failure rather than one
A number specifically quantified.Therefore, the existing analysis method based on numerical value sample data cannot be used for detection electric energy meter task hold
Row ability.
Secondly, the method for being currently used primarily in analysis electric energy meter performance is mainly traditional Principal Component Analysis, it is traditional
The object of Principal Component Analysis processing is the data of no timing, is by the sample data that many experiments obtain in prior art
For the data of no timing, therefore traditional principal component analytical method can be used for this analysis.But in actual application environment, electric energy meter
Execution task has a timing, and task transmission is prior to task receipt, and whether task receipt also reflects in time
The ability that electric energy meter executes task is strong and weak.Therefore, the principal component analytical method for being traditionally used for analysis electric energy meter performance cannot be used
In detection electric energy meter Mission Capability.
Summary of the invention
The embodiment of the invention provides a kind of electric energy meter Mission Capability detection methods, hold to detect electric energy meter task
Row ability, this method comprises:
According to the type of the task execution of electric energy meter and time, to the task execution data of each electric energy meter to be detected when
Domain is extended, and obtains the time domain extension sampled data of each electric energy meter to be detected；Time domain extension sampled data be with
The data of the task execution success or not of timing；
Sampled data is extended according to the time domain of all electric energy meters to be detected, raw data matrix is constructed, according to initial data
Matrix determines the corresponding covariance matrix of raw data matrix；
The characteristic value for determining the covariance matrix determines that covariance matrix is corresponding according to the characteristic value of covariance matrix
Eigenvectors matrix；
According to principal component quantity, default feature vector, composition interception feature are selected from described eigenvector matrix
Vector matrix；According to the interception eigenvectors matrix and raw data matrix, principal component matrix is determined；The principal component matrix
Represent the common feature of all electric energy meter Mission Capabilities to be detected；
According to the principal component matrix, electric energy meter Mission Capability is detected.
The embodiment of the invention also provides a kind of electric energy meter Mission Capability detection devices, to detect electric energy meter task
Executive capability, the device include:
Time domain extends sampled data determination unit, for according to the task execution of electric energy meter type and the time, to each
The task execution data of electric energy meter to be detected are extended in time domain, obtain the time domain extension hits of each electric energy meter to be detected
According to；The time domain extension sampled data is the data of the task execution success or not with timing；
Raw data matrix and covariance matrix determination unit, for being adopted according to the extension of the time domain of all electric energy meters to be detected
Sample data construct raw data matrix according to raw data matrix and determine the corresponding covariance matrix of raw data matrix；
Eigenvectors matrix determination unit, for determining the characteristic value of the covariance matrix, according to covariance matrix
Characteristic value determines the corresponding eigenvectors matrix of covariance matrix；
Intercept eigenvectors matrix and principal component matrix determination unit, for according to principal component quantity, from the feature to
Default feature vector, composition interception eigenvectors matrix are selected in moment matrix；According to the interception eigenvectors matrix and
Raw data matrix determines principal component matrix；All electric energy meter Mission Capabilities to be detected of principal component matrix representative
Common feature；
Detection unit, for detecting electric energy meter Mission Capability according to the principal component matrix.
The embodiment of the invention also provides a kind of computer equipments, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, the processor execute the electric energy meter Mission Capability detection method.
The embodiment of the invention also provides a kind of computer readable storage medium, the computer-readable recording medium storage
There is the computer program for executing electric energy meter Mission Capability detection method.
Technical solution provided in an embodiment of the present invention has the following beneficial effects:
Firstly, the object with traditional principal component analytical method in the prior art is numerical value, cannot to task execution success with
It is no to be analyzed, and then the scheme that task ability is detected can not be executed to electric energy meter and compared, the embodiment of the present invention provides
The object of technical solution processing be data that electric energy meter executes task, i.e. the task execution data number that is only success or failure
According to, rather than a number specifically quantified, therefore the method for the present invention is a kind of can handle by task execution success or failure group
At Boolean quantity sample data analysis method, and then can solve detection electric energy meter Mission Capability the problem of.
Secondly, be the data of no timing with traditional Principal Component Analysis process object in the prior art, it can not be to electricity
Energy table executes the scheme that task ability is detected and compares, and technical solution provided in an embodiment of the present invention is expanded in time domain
Exhibition solves the problems, such as that electric energy meter execution task is with timing, since the task of electric energy meter is sent in actual application environment
Be prior to task receipt, and task receipt whether also reflect in time electric energy meter execute task ability it is strong and weak.Therefore, originally
Inventive method is it is contemplated that the analysis method of sample data timing is to realize the detection for executing task ability to electric energy meter.
To sum up, technical solution provided in an embodiment of the present invention realizes the detection that task ability is executed to electric energy meter.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, not
Constitute limitation of the invention.In the accompanying drawings:
Fig. 1 is the flow diagram of electric energy meter Mission Capability detection method in the embodiment of the present invention；
Fig. 2 is the flow diagram of electric energy meter Mission Capability detection method in further embodiment of this invention；
Fig. 3 is the structural schematic diagram of electric energy meter Mission Capability detection device in the embodiment of the present invention.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, right below with reference to embodiment and attached drawing
The present invention is described in further details.Here, exemplary embodiment and its explanation of the invention is used to explain the present invention, but simultaneously
It is not as a limitation of the invention.
Electric energy meter Mission Capability, existing skill can not be detected to electric energy meter detection method since inventor's discovery is existing
Art problem is: the object of traditional principal component analytical method is numerical value rather than Boolean quantity, cannot be directed to task execution success or not
It is analyzed and is detected, while the sample data of traditional principal component analytical method processing is the data without timing, and task is held
Row ability detects the timing for needing to consider task data, therefore traditional principal component analytical method is not particularly suited for electric energy meter task
The detection of executive capability.
Since inventor has found above-mentioned technical problem, a kind of electric energy meter times based on time domain extension principal component analysis is proposed
Executive capability of being engaged in detects (assessment) scheme, and the program first carries out task execution data in time domain according to the time of task execution
Extension, the object of the principal component analytical method then carried out on this basis is the task execution success or not with timing
Data, and then electric energy meter Mission Capability is detected according to the result that time domain extends principal component analytical method.This is based below
The scheme of the electric energy meter Mission Capability detection of time domain extensive diagnostic describes in detail as follows.
Fig. 1 is the flow diagram of electric energy meter Mission Capability detection method in the embodiment of the present invention, as shown in Figure 1,
This method comprises:
Step 101: according to the type of the task execution of electric energy meter and time, to the task execution of each electric energy meter to be detected
Data are extended in time domain, obtain the time domain extension sampled data of each electric energy meter to be detected；The time domain extends hits
According to the data for the task execution success or not with timing；
Step 102: sampled data is extended according to the time domain of all electric energy meters to be detected, constructs raw data matrix, according to
Raw data matrix determines the corresponding covariance matrix of raw data matrix；
Step 103: determining the characteristic value of the covariance matrix, according to the characteristic value of covariance matrix, determine covariance
The corresponding eigenvectors matrix of matrix；
Step 104: according to principal component quantity, default feature vector, composition are selected from described eigenvector matrix
Intercept eigenvectors matrix；According to the interception eigenvectors matrix and raw data matrix, principal component matrix is determined；The master
Component matrix represents the common feature of all electric energy meter Mission Capabilities to be detected；
Step 105: according to the principal component matrix, detecting electric energy meter Mission Capability.
Technical solution provided in an embodiment of the present invention has the following beneficial effects:
Firstly, the object with traditional principal component analytical method in the prior art is numerical value, cannot to task execution success with
It is no to be analyzed, and then the scheme that task ability is detected can not be executed to electric energy meter and compared, the embodiment of the present invention provides
The object of technical solution processing be data that electric energy meter executes task, i.e. the task execution data number that is only success or failure
According to, rather than a number specifically quantified, therefore the method for the present invention is a kind of can handle by task execution success or failure group
At Boolean quantity sample data analysis method, and then can solve detection electric energy meter Mission Capability the problem of.
Secondly, be the data of no timing with traditional Principal Component Analysis process object in the prior art, it can not be to electricity
Energy table executes the scheme that task ability is detected and compares, and technical solution provided in an embodiment of the present invention is expanded in time domain
Exhibition solves the problems, such as that electric energy meter execution task is with timing, since the task of electric energy meter is sent in actual application environment
Be prior to task receipt, and task receipt whether also reflect in time electric energy meter execute task ability it is strong and weak.Therefore, originally
Inventive method is it is contemplated that the analysis method of sample data timing is to realize the detection for executing task ability to electric energy meter.
To sum up, technical solution provided in an embodiment of the present invention realizes the detection that task ability is executed to electric energy meter.
Below to the present embodiments relate to each step describe in detail it is as follows.
One, firstly, introducing above-mentioned steps 101.
In above-mentioned steps 101 (S1 in referring to fig. 2), if participating in the electric energy meter of electric energy meter Mission Capability detection
(electric energy meter to be detected) number is N, and the initial time of initial data is tstart, end time tend, then testing time length Δ
T is Δ t=tend-tstartIf the task execution data of j-th of electric energy meter share M group, wherein the i-th group task corresponding time is
tij.If the i-th group task of j-th of electric energy meter is to send instruction, corresponding task execution data are after time domain is extended
Time domain extension sampled data be Vij∠αij, amplitude Vij=1, phase angle αij, αij=(tij-tstart)π/Δt；If
I-th group task of j-th of electric energy meter is task execution success receipt, then corresponding task execution data are after time domain is extended
Time domain extension sampled data be Vij∠αij, amplitude Vij=1, phase angle αij, αij=(tij-tstart)π/Δt+π；Such as
I-th group task of j-th of electric energy meter of fruit is task execution failure receipt, then corresponding task execution data are extended in time domain
Time domain extension sampled data afterwards is Vij∠αij, amplitude Vij=0.5, phase angle αij, αij=(tij-tstart)π/Δt+
π。
When it is implemented, the type of the task execution of electric energy meter includes: the successful type of task execution, task execution failure
Type.
When it is implemented, when the task of electric energy meter may include: acquisition, expense control, school, the tasks such as price adjustment.
Two, secondly, after introducing above-mentioned steps 101, the step of being normalized (S2 in referring to fig. 2).
In one embodiment, the electric energy meter Mission Capability detection method based on time domain extensive diagnostic, can also wrap
It includes: the time domain extension sampled data of each electric energy meter to be detected being normalized, all electric energy meters to be detected are obtained
Time domain after normalized extends sampled data.
Number is improved when it is implemented, the time domain extension sampled data of each electric energy meter to be detected is normalized
According to the efficiency and precision of processing, specific normalization processing method may include: to j-th electric energy meter task execution data when
Domain extends sampled data Vj∠αj=[V1j∠α1j,V2j∠α2j,…,VMj∠αMj]TIt is normalized, j=1,2 ..., N, normalizing
The normalization time domain extension sampled data of j-th of the electric energy meter task execution data obtained after change is Vj∠αj, Vj∠αjMean value
It is 0, standard deviation 1.
Three, above-mentioned steps 102 then, are introduced.
In one embodiment, sampled data is extended according to the time domain of all electric energy meters to be detected, constructs initial data square
Battle array, according to raw data matrix, determines the corresponding covariance matrix of raw data matrix, may include:
Sampled data is extended according to the time domain after the normalized of all electric energy meters to be detected, constructs initial data square
Battle array, according to raw data matrix, determines the corresponding covariance matrix of raw data matrix.
When it is implemented, in above-mentioned steps 102 (S3 in referring to fig. 2), the raw data matrix X of building M row N column,
In, M is the task execution number of different moments, and N is the number of electric energy meter, X=[V1∠α1,V2∠α2,…,VN∠αN], X M
The complex matrix of × N calculates the covariance matrix C, C=X of X according to raw data matrix XHX, C are the complex matrix of N × N.
Four, above-mentioned steps 103 then, are introduced.
When it is implemented, in above-mentioned steps 103 (S4 in referring to fig. 2), the All Eigenvalues λ of calculating matrix C1,λ2,…
λN, and λ1≥λ2≥…≥λN>=0, all characteristic values are real number；For eigenvalue λj, j=1,2 ..., N find out linear homogeneous
Equation group (λjI-C basic course laboratory)=0 obtains C for λjOne group of feature vector uj, then eigenvectors matrix U=[u1,
u2,…uN], U is the complex matrix of N × N, and meets UHCU=Λ, wherein Λ=diag (λ1,λ2,…,λN)。
Five, above-mentioned steps 104 then, are introduced.
1, firstly, the step of introducing the determination principal component number (quantity) after above-mentioned steps 103 is (in referring to fig. 2
S5)。
When it is implemented, the number k of principal component is selected according to Guttman criterion, i.e. k=max k | λk≥1}。
2, secondly, introducing after principal component number has been determined, according to principal component quantity, from described eigenvector matrix
Default feature vector (preceding k feature vector), composition interception eigenvectors matrix are selected, and then determines principal component matrix
Step, referring to fig. 2 in S6.
When it is implemented, selected from described eigenvector matrix U according to principal component number k the 1st to k feature to
Amount, i.e. the interception eigenvectors matrix U of the 1st to the k column composition of eigenvectors matrix Uk=[u1,u2,…uk], UkFor answering for N × k
Matrix number, and raw data matrix X is converted, principal component matrix P is obtained, then P represents all N number of electric energy meter tasks and holds
The common feature (therefore, principal component matrix may also be referred to as P common feature matrix P) of market condition completes time domain and extends principal component
Analytic process.
When it is implemented, being converted to raw data matrix X, principal component matrix P is obtained, may include: to pass through P=
XUkPrincipal component matrix P is calculated, P is the complex matrix of M × k.
Six, above-mentioned steps 105 then, are introduced, referring to fig. 2 in " S7-S10 ".
In one embodiment, according to the principal component matrix, detect electric energy meter Mission Capability, may include according to
One of following method or any combination, detect electric energy meter Mission Capability:
According to the quantity of principal component component, the otherness of all electric energy meter Mission Capabilities to be detected is detected；
According to the mean value of the first row all elements of principal component matrix, all electric energy meter Mission Capabilities to be detected are detected
Otherness；
According to the variance of the first row all elements of principal component matrix, appointing for all electric energy meter common features to be detected is detected
Business executive capability otherness；
According to the mould of the first row element of the associate matrix of interception eigenvectors matrix, all electric energy to be detected are detected
The Mission Capability of table.
When it is implemented, one of method or any combination as described above, detect electric energy meter task execution energy
Power improves the flexibility and accuracy of detection electric energy meter Mission Capability.
1, firstly, introducing the quantity according to principal component component, the difference of all electric energy meter Mission Capabilities to be detected is detected
Anisotropic step, referring to fig. 2 in S7.
In one embodiment, according to the quantity of principal component component, all electric energy meter Mission Capabilities to be detected are detected
Otherness, may include: principal component component quantity it is smaller, represent all electric energy meter Mission Capability differences to be detected
Small, the quantity of principal component component is bigger, and it is big to represent all electric energy meter Mission Capability differences to be detected.
When it is implemented, the number k of principal component represents the otherness of all electric energy meter Mission Capabilities, k smaller generation
The electric energy meter Mission Capability difference that table participates in evaluation is small, conversely, k is represented more greatly and participated in the electric energy meter task of evaluation and hold
Row capacity variance is big, and k value is used to detect the otherness of all N number of electric energy meter Mission Capabilities.
When it is implemented, principal component is that principal component analysis calculates as a result, representing result in embodiments of the present invention.
2, secondly, introducing the mean value of the first row all elements according to principal component matrix, all electric energy meters to be detected are detected
The step of otherness of Mission Capability, referring to fig. 2 in S8.
In one embodiment, according to the mean value of the first row all elements of principal component matrix, all electricity to be detected are detected
Can table Mission Capability otherness, may include: the mean value of the first row all elements of principal component matrix close to complex plane
Origin, represents that all electric energy meter Mission Capabilities to be detected are good, task send data obtain running succeeded receipt ratio it is great,
And the time needed for receiving receipt is short；The mean distance complex plane origin of the first row all elements of principal component matrix is remote, represents
All electric energy meter Mission Capabilities to be detected are poor, task send data obtain running succeeded receipt specific gravity it is small, and receive back
It is long to hold the required time.
When it is implemented, the first row p of common feature matrix P1For the dominant characteristics of all electric energy meter Mission Capabilities,
p1Closer to complex plane origin, (complex plane origin is the origin of complex field to the mean value of all elements, and abscissa represents real part, indulges and sits
Mark represents imaginary part, and origin is the plural number that real part imaginary part is all 0) to represent all electric energy meter Mission Capabilities good, and task sends number
Ratio according to the receipt that obtains running succeeded is great, and the time needed for receiving receipt is short, conversely, p1The mean distance of all elements is multiple
Plane origin is remote, represents that all electric energy meter Mission Capabilities are poor, and task sends data and obtains running succeeded the specific gravity (ratio of receipt
Example) it is small, and the time needed for receiving receipt is long.
3, the variance for then, introducing the first row all elements according to principal component matrix, detects all electric energy meters to be detected
The step of Mission Capability otherness of common feature, referring to fig. 2 in S9.
In one embodiment, according to the variance of the first row all elements of principal component matrix, all electricity to be detected are detected
Can table common feature Mission Capability otherness, may include: the first row all elements of principal component matrix variance it is small,
The Mission Capability difference for representing all electric energy meter common features to be detected is small；The first row all elements of principal component matrix
Variance is big, and the Mission Capability difference for representing all electric energy meter common features to be detected is big.
When it is implemented, p1The variance of all elements represents the Mission Capability difference of all electric energy meter common features
Property, p1The variance of all elements is small, then the Mission Capability difference of all electric energy meter common features is small, conversely, p1All elements
Variance it is big, then the Mission Capability difference of all electric energy meter common features is big.
4, finally, introducing the mould of the first row element of the associate matrix according to interception eigenvectors matrix, institute is detected
Have the step of Mission Capability of electric energy meter to be detected, referring to fig. 2 in S10.
In one embodiment, according to the mould of the first row element of the associate matrix of interception eigenvectors matrix, inspection
The Mission Capability for surveying all electric energy meters to be detected may include: any member in the first row element of associate matrix
The mould of element is big, and the Mission Capability for representing the corresponding electric energy meter to be detected of the either element is good；The first of associate matrix
The mould of either element in row element is big, and the Mission Capability for representing the corresponding electric energy meter to be detected of the either element is poor.
When it is implemented, setting UHTo intercept eigenvectors matrix UkAssociate matrix, UH=Uk H, then matrix UHJth
The relationship being classified as between the task execution situation of j-th of electric energy meter and the common feature P of all electric energy meters, matrix UHThe 1st row
For N number of electric energy meter respectively with dominant characteristics p1Corresponding relationship, wherein matrix UHThe 1st row jth column element u1jFor j-th of electricity
Can table respectively with dominant characteristics p1Corresponding relationship, u1jMould it is bigger, the Mission Capability for representing j-th of electric energy meter is closer
The Mission Capability of dominant characteristics, the electric energy meter is better, conversely, u1jMould it is smaller, represent the task execution of j-th of electric energy meter
Ability more deviates dominant characteristics, and the Mission Capability of the electric energy meter is poorer.
Based on the same inventive concept, a kind of electric energy meter Mission Capability detection dress is additionally provided in the embodiment of the present invention
It sets, such as the following examples.The principle solved the problems, such as due to electric energy meter Mission Capability detection device and above-mentioned electric energy meter are appointed
Executive capability detection method of being engaged in is similar, therefore the implementation of electric energy meter Mission Capability detection device can refer to above-mentioned electric energy meter
The implementation of Mission Capability detection method, overlaps will not be repeated.It is used below, term " module " or " unit "
The combination of the software and/or hardware of predetermined function may be implemented.Although device described in following embodiment is preferably with software
It realizes, but the realization of the combination of hardware or software and hardware is also that may and be contemplated.
Fig. 3 is the structural schematic diagram of electric energy meter Mission Capability detection device in the embodiment of the present invention, as shown in figure 3,
The device includes:
Time domain extends sampled data determination unit 01, for according to the task execution of electric energy meter type and the time, to every
The task execution data of one electric energy meter to be detected are extended in time domain, obtain the time domain extension sampling of each electric energy meter to be detected
Data；The time domain extension sampled data is the data of the task execution success or not with timing；
Raw data matrix and covariance matrix determination unit 02, for being extended according to the time domain of all electric energy meters to be detected
Sampled data constructs raw data matrix according to raw data matrix and determines the corresponding covariance matrix of raw data matrix；
Eigenvectors matrix determination unit 03, for determining the characteristic value of the covariance matrix, according to covariance matrix
Characteristic value, determine the corresponding eigenvectors matrix of covariance matrix；
Eigenvectors matrix and principal component matrix determination unit 04 are intercepted, is used for according to principal component quantity, from the feature
Default feature vector, composition interception eigenvectors matrix are selected in vector matrix；According to the interception eigenvectors matrix
And raw data matrix, determine principal component matrix；All electric energy meter Mission Capabilities to be detected of principal component matrix representative
Common feature；
Detection unit 05, for detecting electric energy meter Mission Capability according to the principal component matrix.
In one embodiment, above-mentioned detection unit specifically can be used for one of as follows or any group
It closes, detects electric energy meter Mission Capability:
According to the quantity of principal component component, the otherness of all electric energy meter Mission Capabilities to be detected is detected；
According to the mean value of the first row all elements of principal component matrix, all electric energy meter Mission Capabilities to be detected are detected
Otherness；
According to the variance of the first row all elements of principal component matrix, appointing for all electric energy meter common features to be detected is detected
Business executive capability otherness；
According to the mould of the first row element of the associate matrix of interception eigenvectors matrix, all electric energy to be detected are detected
The Mission Capability of table.
In one embodiment, the detection unit specifically can be used for:
The quantity of principal component component is smaller, and it is small to represent all electric energy meter Mission Capability differences to be detected, principal component point
The quantity of amount is bigger, and it is big to represent all electric energy meter Mission Capability differences to be detected；
The mean value of the first row all elements of principal component matrix represents all electric energy meters to be detected and appoints close to complex plane origin
Executive capability of being engaged in is good, task send data obtain running succeeded receipt ratio it is great, and the time needed for receiving receipt is short；It is main at
The mean distance complex plane origin of the first row all elements of sub-matrix is remote, represents all electric energy meter Mission Capabilities to be detected
Difference, task send data obtain running succeeded receipt specific gravity it is small, and the time needed for receiving receipt is long；
The variance of the first row all elements of principal component matrix is small, represents the task of all electric energy meter common features to be detected
Executive capability difference is small；The variance of the first row all elements of principal component matrix is big, and it is special to represent all electric energy meter general character to be detected
The Mission Capability difference of sign is big；
The mould of either element in first row element of associate matrix is big, and it is corresponding to be detected to represent the either element
The Mission Capability of electric energy meter is good；The mould of either element in first row element of associate matrix is big, and it is any to represent this
The Mission Capability of the corresponding electric energy meter to be detected of element is poor.
In one embodiment, above-mentioned electric energy meter Mission Capability detection device can also include: normalized list
Member is normalized for the time domain extension sampled data to each electric energy meter to be detected, obtains all electric energy to be detected
Time domain after the normalized of table extends sampled data；
The raw data matrix and covariance matrix determination unit specifically can be used for: according to all electric energy meters to be detected
Normalized after time domain extend sampled data, construct raw data matrix and original number determined according to raw data matrix
According to the corresponding covariance matrix of matrix.
To sum up, the core innovative point of the method for the present invention is, the object of traditional principal component analytical method be numerical value rather than
Boolean quantity cannot be analyzed and be detected for task execution success or not, while the sample of traditional principal component analytical method processing
Notebook data is the data without timing, and Mission Capability detection needs to consider the timing of task data, therefore tradition is main
Component analyzing method is not particularly suited for the detection of electric energy meter Mission Capability.And the method for the present invention is according to the time of task execution
Task execution data are extended in time domain, the object of the principal component analytical method carried out on this basis is with timing
Task execution success or not data, solve traditional principal component analytical method not and can be carried out the inspection of electric energy meter Mission Capability
The problem of survey.
The embodiment of the invention also provides a kind of computer equipments, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, the processor execute the electric energy meter Mission Capability detection method.
The embodiment of the invention also provides a kind of computer readable storage medium, the computer-readable recording medium storage
There is the computer program for executing electric energy meter Mission Capability detection method.
The present invention implements the advantageous effects of the technical solution provided are as follows: as can be seen from the above technical solutions, this reality
Electric energy meter Mission Capability detection method of the example based on time domain extension principal component analysis is applied, object is that electric energy meter executes task
Data, i.e., task execution data are only success or failure rather than a number specifically quantified, therefore the method for the present invention is
A kind of method that can handle the Boolean quantity sample data analysis being made of task execution success or failure, and then can solve detection
The problem of electric energy meter Mission Capability；Meanwhile this method is extended principal component analysis in time domain, solves and actually answers
The problem of task is with timing is executed with electric energy meter in environment, since the task transmission of electric energy meter is prior to task receipt
, and whether task receipt also reflects the ability power that electric energy meter executes task in time.Therefore, the method for the present invention is contemplated that
The analysis method of sample data timing executes the detection of task ability to realize to electric energy meter.
Obviously, those skilled in the art should be understood that each module of the above-mentioned embodiment of the present invention or each step can be with
It is realized with general computing device, they can be concentrated on a single computing device, or be distributed in multiple computing devices
On composed network, optionally, they can be realized with the program code that computing device can perform, it is thus possible to by it
Store and be performed by computing device in the storage device, and in some cases, can be held with the sequence for being different from herein
The shown or described step of row, perhaps they are fabricated to each integrated circuit modules or will be multiple in them
Module or step are fabricated to single integrated circuit module to realize.In this way, the embodiment of the present invention be not limited to it is any specific hard
Part and software combine.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the embodiment of the present invention can have various modifications and variations.All within the spirits and principles of the present invention, made
Any modification, equivalent substitution, improvement and etc. should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of electric energy meter Mission Capability detection method characterized by comprising
According to the type of the task execution of electric energy meter and time, to the task execution data of each electric energy meter to be detected time domain into
Row extension obtains the time domain extension sampled data of each electric energy meter to be detected；The time domain extension sampled data is with timing
The data of the task execution success or not of property；
Sampled data is extended according to the time domain of all electric energy meters to be detected, constructs raw data matrix, according to raw data matrix,
Determine the corresponding covariance matrix of raw data matrix；
The characteristic value for determining the covariance matrix determines the corresponding spy of covariance matrix according to the characteristic value of covariance matrix
Levy vector matrix；
According to principal component quantity, default feature vector, composition interception feature vector are selected from described eigenvector matrix
Matrix；According to the interception eigenvectors matrix and raw data matrix, principal component matrix is determined；The principal component matrix representative
The common feature of all electric energy meter Mission Capabilities to be detected；
According to the principal component matrix, electric energy meter Mission Capability is detected.
2. electric energy meter Mission Capability detection method as described in claim 1, which is characterized in that according to the principal component square
Battle array detects electric energy meter Mission Capability, including one of as follows or any combination, detects electric energy meter task
Executive capability:
According to the quantity of principal component component, the otherness of all electric energy meter Mission Capabilities to be detected is detected；
According to the mean value of the first row all elements of principal component matrix, the difference of all electric energy meter Mission Capabilities to be detected is detected
It is anisotropic；
According to the variance of the first row all elements of principal component matrix, the detecting all electric energy meter common features to be detected of task is held
Row capacity variance；
According to the mould of the first row element of the associate matrix of interception eigenvectors matrix, all electric energy meters to be detected are detected
Mission Capability.
3. electric energy meter Mission Capability detection method as claimed in claim 2, which is characterized in that according to principal component component
Quantity detects the otherness of all electric energy meter Mission Capabilities to be detected, comprising: the quantity of principal component component is smaller, represents
All electric energy meter Mission Capability differences to be detected are small, and the quantity of principal component component is bigger, represent all electric energy meters to be detected
Mission Capability difference is big；
According to the mean value of the first row all elements of principal component matrix, the difference of all electric energy meter Mission Capabilities to be detected is detected
It is anisotropic, comprising: the mean value of the first row all elements of principal component matrix represents all electric energy meters to be detected close to complex plane origin
Mission Capability is good, task send data obtain running succeeded receipt ratio it is great, and the time needed for receiving receipt is short；It is main
The mean distance complex plane origin of the first row all elements of component matrix is remote, represents all electric energy meter task execution energy to be detected
Power is poor, task send data obtain running succeeded receipt specific gravity it is small, and the time needed for receiving receipt is long；
According to the variance of the first row all elements of principal component matrix, the detecting all electric energy meter common features to be detected of task is held
Row capacity variance, comprising: the variance of the first row all elements of principal component matrix is small, represents all electric energy meter general character to be detected
The Mission Capability difference of feature is small；The variance of the first row all elements of principal component matrix is big, represents all electricity to be detected
The Mission Capability difference of energy table common feature is big；
According to the mould of the first row element of the associate matrix of interception eigenvectors matrix, all electric energy meters to be detected are detected
Mission Capability, comprising: the mould of the either element in the first row element of associate matrix is big, represents the either element pair
The Mission Capability for the electric energy meter to be detected answered is good；The mould of either element in first row element of associate matrix is big,
The Mission Capability for representing the corresponding electric energy meter to be detected of the either element is poor.
4. electric energy meter Mission Capability detection method as described in claim 1, which is characterized in that further include: to it is each to
The time domain extension sampled data of detection electric energy meter is normalized, after obtaining the normalized of all electric energy meters to be detected
Time domain extend sampled data；
Sampled data is extended according to the time domain of all electric energy meters to be detected, constructs raw data matrix, according to raw data matrix,
Determine the corresponding covariance matrix of raw data matrix, comprising:
Sampled data is extended according to the time domain after the normalized of all electric energy meters to be detected, constructs raw data matrix, root
According to raw data matrix, the corresponding covariance matrix of raw data matrix is determined.
5. a kind of electric energy meter Mission Capability detection device characterized by comprising
Time domain extends sampled data determination unit, for according to the task execution of electric energy meter type and the time, to each to be checked
The task execution data for surveying electric energy meter are extended in time domain, obtain the time domain extension sampled data of each electric energy meter to be detected；
The time domain extension sampled data is the data of the task execution success or not with timing；
Raw data matrix and covariance matrix determination unit, for extending hits according to the time domain of all electric energy meters to be detected
According to building raw data matrix determines the corresponding covariance matrix of raw data matrix according to raw data matrix；
Eigenvectors matrix determination unit, for determining the characteristic value of the covariance matrix, according to the feature of covariance matrix
Value, determines the corresponding eigenvectors matrix of covariance matrix；
Eigenvectors matrix and principal component matrix determination unit are intercepted, is used for according to principal component quantity, from described eigenvector square
Default feature vector, composition interception eigenvectors matrix are selected in battle array；According to the interception eigenvectors matrix and original
Data matrix determines principal component matrix；The general character of all electric energy meter Mission Capabilities to be detected of principal component matrix representative
Feature；
Detection unit, for detecting electric energy meter Mission Capability according to the principal component matrix.
6. electric energy meter Mission Capability detection device as claimed in claim 5, which is characterized in that the detection unit is specific
For one of as follows or any combination, detecting electric energy meter Mission Capability:
According to the quantity of principal component component, the otherness of all electric energy meter Mission Capabilities to be detected is detected；
According to the mean value of the first row all elements of principal component matrix, the difference of all electric energy meter Mission Capabilities to be detected is detected
It is anisotropic；
According to the variance of the first row all elements of principal component matrix, the detecting all electric energy meter common features to be detected of task is held
Row capacity variance；
According to the mould of the first row element of the associate matrix of interception eigenvectors matrix, all electric energy meters to be detected are detected
Mission Capability.
7. electric energy meter Mission Capability detection device as claimed in claim 6, which is characterized in that the detection unit is specific
For:
The quantity of principal component component is smaller, and it is small to represent all electric energy meter Mission Capability differences to be detected, principal component component
Quantity is bigger, and it is big to represent all electric energy meter Mission Capability differences to be detected；
The mean value of the first row all elements of principal component matrix represents all electric energy meter tasks to be detected and holds close to complex plane origin
Row ability is good, task send data obtain running succeeded receipt ratio it is great, and the time needed for receiving receipt is short；Principal component square
The mean distance complex plane origin of the first row all elements of battle array is remote, and it is poor to represent all electric energy meter Mission Capabilities to be detected,
Task send data obtain running succeeded receipt specific gravity it is small, and the time needed for receiving receipt is long；
The variance of the first row all elements of principal component matrix is small, represents the task execution of all electric energy meter common features to be detected
Capacity variance is small；The variance of the first row all elements of principal component matrix is big, represents all electric energy meter common features to be detected
Mission Capability difference is big；
The mould of either element in first row element of associate matrix is big, represents the corresponding electric energy to be detected of the either element
The Mission Capability of table is good；The mould of either element in first row element of associate matrix is big, represents the either element
The Mission Capability of corresponding electric energy meter to be detected is poor.
8. electric energy meter Mission Capability detection device as claimed in claim 5, which is characterized in that further include: at normalization
Unit is managed, is normalized, obtains all to be detected for the time domain extension sampled data to each electric energy meter to be detected
Time domain after the normalized of electric energy meter extends sampled data；
The raw data matrix and covariance matrix determination unit are specifically used for: according to the normalization of all electric energy meters to be detected
Time domain that treated extends sampled data, constructs raw data matrix according to raw data matrix and determines raw data matrix pair
The covariance matrix answered.
9. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, which is characterized in that the processor realizes any side of Claims 1-4 when executing the computer program
Method.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has perform claim
It is required that the computer program of 1 to 4 any the method.
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| PCT/CN2019/125093 WO2020215748A1 (en) | 2019-04-23 | 2019-12-13 | Method for testing task execution capability of electrical energy meter, and device |
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| CN110488218A (en) * | 2019-08-26 | 2019-11-22 | 国网重庆市电力公司电力科学研究院 | A kind of electric energy meter operating status appraisal procedure and assessment device |
| CN110502518A (en) * | 2019-08-26 | 2019-11-26 | 国网重庆市电力公司电力科学研究院 | A kind of intelligent electric energy meter time series data processing method and processing unit |
| WO2020215748A1 (en) * | 2019-04-23 | 2020-10-29 | 国网冀北电力有限公司计量中心 | Method for testing task execution capability of electrical energy meter, and device |
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| US6954744B2 (en) * | 2001-08-29 | 2005-10-11 | Honeywell International, Inc. | Combinatorial approach for supervised neural network learning |
| CN101788656B (en) * | 2010-01-29 | 2013-06-05 | 东南大学 | Method for recognizing function response signal under function nuclear magnetic resonance scan |
| US11416799B2 (en) * | 2017-08-28 | 2022-08-16 | Clari Inc. | Method and system for summarizing user activities of tasks into a single activity score using machine learning to predict probabilities of completeness of the tasks |
| CN109447394A (en) * | 2018-09-14 | 2019-03-08 | 中国科学院空间应用工程与技术中心 | A kind of earth observation satellite mission effectiveness assessment indicator system and analysis method |
| CN109307854A (en) * | 2018-10-29 | 2019-02-05 | 中国电力科学研究院有限公司 | A kind of electric energy metering device comprehensive estimation method and system |
| CN110031790B (en) * | 2019-04-23 | 2024-10-18 | 华北电力科学研究院有限责任公司 | Electric energy meter task execution capacity detection method and device |
| CN209961899U (en) * | 2019-04-23 | 2020-01-17 | 华北电力科学研究院有限责任公司 | Electric energy meter task execution capacity detection device |
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| WO2020215748A1 (en) * | 2019-04-23 | 2020-10-29 | 国网冀北电力有限公司计量中心 | Method for testing task execution capability of electrical energy meter, and device |
| CN110488218A (en) * | 2019-08-26 | 2019-11-22 | 国网重庆市电力公司电力科学研究院 | A kind of electric energy meter operating status appraisal procedure and assessment device |
| CN110502518A (en) * | 2019-08-26 | 2019-11-26 | 国网重庆市电力公司电力科学研究院 | A kind of intelligent electric energy meter time series data processing method and processing unit |
| CN110488218B (en) * | 2019-08-26 | 2021-11-30 | 国网重庆市电力公司电力科学研究院 | Electric energy meter running state evaluation method and evaluation device |
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