CN105548946B - For the multiple criteria screening method and device of the measurement error of intelligent electric energy meter - Google Patents
For the multiple criteria screening method and device of the measurement error of intelligent electric energy meter Download PDFInfo
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract
This application discloses the multiple criteria screening methods and device of the measurement error for intelligent electric energy meter.This method first rejects unqualified intelligent electric energy meter according to measurement verification regulations, it is believed that the measurement error of remaining intelligent electric energy meter is preliminary trustworthy metering error；The combination for being then based on La Yida, Xiao Weina and Ge Luobusi outliers identifying criterion finds out measurement error the most suspicious from these preliminary trustworthy metering errors, and think that the corresponding intelligent electric energy meter of these measurement errors is the intelligent electric energy meter in edge of failure, it is similarly unqualified intelligent electric energy meter.Using the disclosure, can avoid making user and energy resource supply unit suffer a loss, improve the mutual trust between relevant unit and user while reduce relevant departments verification, repair and replacement workload.
Description
Technical field
This disclosure relates to metering instrument field, more particularly, to a kind of the more of measurement error for intelligent electric energy meter
The multiple criteria screening apparatus of criterion screening method and a kind of measurement error for intelligent electric energy meter.
Background technology
The intelligent electric energy meter of intelligent electric energy meter is formal before use, Utilities Electric Co. or manufacturer etc. are needed to intelligence
Can electric energy meter examined and determine, obtain its measurement error, the intelligent electric energy meter of assay approval can just be put to huge numbers of families and each
Industrial and mining enterprises.
The measurement verification regulations of standard (such as national standard) are generally based on (for example, current power field
《JJG596-2012 electronic type AC energy meter vertification regulations》) judge whether intelligent electric energy meter qualified, i.e., if some intelligence
The measurement error of load point (alternatively referred to as examine and determine a little) of the electric energy meter under a certain rated condition is more than the permitted limits of error, then
Directly judge that the intelligent electric energy meter is unqualified.
But inventor has found that usual national standard measurement verification regulations are to error by a large amount of investigations in real work
Degrees of tolerance is higher, and the measurement error that many intelligent electric energy meters for being considered qualification through examining and determine occur in practice is more than
Permitted range is based solely on intelligent electric energy meter of the measurement verification regulations judgement in the load point qualification of a certain condition, still
Its comprehensive metering performance may also be poor in practice, events such as " running a good foot " occurs, to user and energy resource supply list
Position brings loss, and affect the mutual trust relationship between relevant unit and user.
It is a problem that how screening, which goes out intelligent electric energy meter suspicious, in edge of failure,.The mistake that criterion of acceptability is set
Low, it is considered qualified that can lead to the intelligent electric energy meter in edge of failure；And by the excessively high of criterion of acceptability setting, and can lead
It is considered suspicious to cause a large amount of qualified intelligent electric energy meters, and then brings a large amount of unnecessary verification, repair and replace work
Make.
Invention content
The present disclosure proposes a kind of screening method, can effectively find out intelligent electric energy meter in edge of failure and
It avoids numerous qualified intelligent electric energy meters being mistaken for unqualified.The disclosure also proposed corresponding screening apparatus.
According to the one side of the disclosure, it is proposed that a kind of to be rejected not from multiple intelligent electric energy meters according to measurement verification regulations
Qualified intelligent electric energy meter, the measurement error of remaining intelligent electric energy meter form preliminary trustworthy metering error set；Based on La Yida
Criterion finds suspicious measurement error from preliminary trustworthy metering error set, the suspicious measurement error found based on Pauta criterion
Form the first suspicious measurement error set；If the quantity of the measurement error in the first suspicious measurement error set is no more than default
Threshold value then finds suspicious measurement error based on Grobus criterion from the first suspicious measurement error set；If first is suspicious
The quantity of measurement error in measurement error set is more than predetermined threshold value, then based on Xiao Weina criterion from the first suspicious measurement error
Suspicious measurement error is found in set, the second suspicious measurement error collection is formed based on the suspicious measurement error that Xiao Weina criterion are found
It closes, then suspicious measurement error is found from the second suspicious measurement error set based on Grobus criterion；It determines to spread out based on lattice
The corresponding intelligent electric energy meter of suspicious measurement error that this criterion is found is similarly unqualified intelligent electric energy meter.
According to another aspect of the present disclosure, it is proposed that a kind of first device for eliminating, for being picked from multiple intelligent electric energy meters
Except unqualified intelligent electric energy meter, the measurement error of remaining intelligent electric energy meter forms preliminary trustworthy metering error set；First sieve
Device is looked into, suspicious measurement error is found from preliminary trustworthy metering error set for being based on Pauta criterion, based on La Yida
The suspicious measurement error that criterion is found forms the first suspicious measurement error set；Second screening apparatus, if the first suspicious metering
The quantity of measurement error in error set is no more than predetermined threshold value, is missed for being based on Grobus criterion from the first suspicious metering
Suspicious measurement error is found in difference set；Third screening apparatus, if measurement error in the first suspicious measurement error set
Quantity is more than predetermined threshold value, and suspicious measurement error is found from the first suspicious measurement error set for being based on Xiao Weina criterion,
Second suspicious measurement error set is formed and for being based on Ge Luobusi based on the suspicious measurement error that Xiao Weina criterion are found
Criterion finds suspicious measurement error from the second suspicious measurement error set；Second device for eliminating, for determining to spread out based on lattice
The corresponding intelligent electric energy meter of suspicious measurement error that this criterion is found is similarly unqualified intelligent electric energy meter.
All aspects of this disclosure carry out measurement error screening by using Pauta criterion, have found suspicious metering and miss
Difference, and Xiao Weina criterion and Grobus criterion are based on, the suspicious highest measurement error of degree is had found from suspicious measurement error,
And think that the corresponding intelligent electric energy meter of these measurement errors is equally underproof intelligent electric energy meter, so as to accurately and efficiently
The intelligent electric energy meter in edge of failure is found out, is avoiding making user and energy resource supply unit suffers a loss, improves relevant unit
The workload of verification, repair and the replacement of relevant departments is reduced while mutual trust between user.
Description of the drawings
Disclosure illustrative embodiments are described in more detail in conjunction with the accompanying drawings, the disclosure above-mentioned and its
Its purpose, feature and advantage will be apparent, wherein, in disclosure illustrative embodiments, identical reference label
Typically represent same parts.
Fig. 1 shows the multiple criteria screening of the measurement error for intelligent electric energy meter of one embodiment according to the disclosure
The flow chart of method.
Fig. 2 shows an exemplary embodiment according to the disclosure based on the improved suspicious meter of Pauta criterion screening
Measure the flow chart of the method for error.
Specific embodiment
The preferred embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although the disclosure is shown in attached drawing
Preferred embodiment, however, it is to be appreciated that may be realized in various forms the disclosure without the embodiment party that should be illustrated here
Formula is limited.On the contrary, these embodiments are provided so that the disclosure is more thorough and complete, and can be by the disclosure
Range is completely communicated to those skilled in the art.
First to the disclosure, some relevant basic principles are described herein.La Yida (PauTa) criterion, Xiao Weina
(Chauvenet) criterion and Ge Luobusi (Grubbs) criterion are gross error (abbreviation rough error) criterion of identification.
Common La Yida is also referred to as 3 σ criterion.Can first be obtained arithmetic mean of instantaneous value (abbreviation mean value) μ of n measurement data with
And the testing standard difference σ calculated using Bessel Formula.For any measurement data xi, i=1,2 ..., n, if | xi-μ|/σ
>3, then it is believed that measurement data xiFor rough error data (being also referred to as suspicious measurement error in the disclosure), reason is existing drawing
According to up to thinking that the fiducial probability of the measurement data being distributed in (+3 σ of μ -3 σ, μ) is 0.9974 in criterion.
According to Xiao Weina criterion, arithmetic mean of instantaneous value (abbreviation mean value) μ and the utilization of n measurement data equally can first be obtained
The testing standard difference σ that Bessel Formula calculates.It can search and the corresponding t of sample size n.Table 1 below illustrates part n with
The correspondence of t.
The correspondence of part n and t in 1 Xiao's wiener criterion of table
For any measurement data xi, i=1,2 ..., n, if | xi-μ|/σ>T, then it is believed that measurement data xiIt is thick
Difference data (is also referred to as suspicious measurement error) in the disclosure.
According to Grobus criterion, arithmetic mean of instantaneous value (abbreviation mean value) μ and the utilization of n measurement data also can first be obtained
The testing standard difference σ that Bessel Formula calculates.Can search sample size n and setting the corresponding T of level of significance a (n, a).Following
Table 2 shows part n, a and T (n, correspondence a).
Part n, a and T (n, correspondence a) in 2 Grobus criterion of table
For any measurement data xi, i=1,2 ..., n, if | xi-μ|/σ>T (n, a), then it is believed that measurement data xi
For rough error data (being also referred to as suspicious measurement error in the disclosure).
Embodiment 1
Fig. 1 shows the multiple criteria screening of the measurement error for intelligent electric energy meter of one embodiment according to the disclosure
The flow chart of method.This method may include the following steps.
Step 101, unqualified intelligent electric energy meter is rejected from multiple intelligent electric energy meters according to measurement verification regulations, it is remaining
The measurement error of intelligent electric energy meter forms preliminary trustworthy metering error set.It is generally based on national standard used in the prior art
Measurement verification regulations reject unqualified intelligent electric energy meter.The measurement verification regulations can be more rigid index, to ensure
The intelligent electric energy meter to come into operation at least conforms to the requirement of national relevant laws and regulations and rules and regulations.For example, for intelligence electricity
Energy table, can refer to《JJG596-2012 electronic type AC energy meter vertification regulations》As long as the load point under a certain rated condition
Measurement error exceed《JJG596-2012 electronic type AC energy meter vertification regulations》The limits of error of middle defined, then it is assumed that should
Intelligent electric energy meter is unqualified.
Step 102, suspicious measurement error is found from preliminary trustworthy metering error set based on Pauta criterion, based on drawing
The first suspicious measurement error set is formed according to the suspicious measurement error found up to criterion.
Step 103, judge whether the quantity of the measurement error in the first suspicious measurement error set is more than predetermined threshold value.Such as
Fruit answer is affirmative, then enters step 104；Otherwise, it is directly entered step 105.
Step 104, suspicious measurement error is found from the first suspicious measurement error set based on Xiao Weina criterion, based on Xiao
The suspicious measurement error that wiener criterion is found forms the second suspicious measurement error set.
Step 105, based on Grobus criterion from first (from step 103 directly into step 105) or second (from step
104 to finding suspicious measurement error in the suspicious measurement error set of step 105).
Step 106, it determines to be similarly based on the corresponding intelligent electric energy meter of suspicious measurement error that Grobus criterion is found
Unqualified intelligent electric energy meter.
Inventor is the study found that the preliminary trustworthy metering error obtained based on Pauta criterion to foundation measurement verification regulations
Set carries out screening, can find out the intelligent electric energy meter for being wherein in edge of failure.But the suspicious sample obtained at this time is on the high side, though it can
Reject the intelligent electric energy meter in edge of failure, but be likely to be mixed into these intelligent electric energy meters under a cloud it is more actually
Qualified intelligent electric energy meter, this can bring the verification of redundancy, repair and replace work.Therefore, lattice cloth Ross is used in the disclosure
Criterion carries out further screening to the larger suspicious sample, so as to substantially increase the accuracy of screening.
Inventor also found under study for action, the screening of Grobus criterion when sample size is controlled in a certain range
Effect is preferable.Therefore, in order to improve the applicability of Grobus criterion, according to the disclosure, when what is obtained based on Pauta criterion
When suspicious measurement error is more, first using Xiao Weina criterion from the first suspicious measurement error set obtained based on Pauta criterion
In find the suspicious measurement error set of more suspicious second, then finally determine that the second suspicious metering misses based on Grobus criterion
Which measurement error is really is worth the measurement error in kind verified in difference set.
The present embodiment combination Pauta criterion, Xiao Weina criterion and Grobus criterion, using multiple criteria judgment principle pair
Measurement error carries out screening, not only eliminates the intelligent electric energy meter in edge of failure as much as possible, also avoids to greatest extent
Qualified intelligent electric energy meter is mistaken for unqualified.
It will be understood by those skilled in the art that in the case where needing to examine and determine multiple load points, it should needle
Above-mentioned multiple criteria screening method is independently performed to the measurement error obtained in different loads point.
In addition, measurement error of the applicant by further investigation and based on early period for intelligent electric energy meter (was being examined and determine
The measurement error of the intelligent electric energy meter measured in journey) many experiments find, in a step 102, based on existing Pauta criterion
It is sometimes difficult to reach best and rejects effect, because preliminary trustworthy metering error and being unsatisfactory for desired point in some cases
Fiducial probability of the cloth in (+3 σ of μ -3 σ, μ) is 0.9974 requirement.
Therefore, in some embodiments, existing Pauta criterion can be improved.For each load point,
It can be based on desired fiducial probability regulation coefficient k rather than be fixed as 3 so that in the preliminary trustworthy metering error of the load point
The fiducial probability being distributed in (μ-k σ, μ+k σ) is the desired value.For example, setting desired fiducial probability as 0.9974, can first press
Screening is carried out according to coefficient k=3, if finding the confidence that preliminary trustworthy metering error is distributed in (+3 σ of μ -3 σ, μ) after screening
Probability is higher than 0.9974, then can adjust coefficient k to smaller direction, if finding that sample data is distributed in (μ -3 after screening
+ 3 σ of σ, μ) in fiducial probability be less than 0.9974, then can by direction from coefficient k to bigger adjust, one or many tune may be needed
It is whole, until the screening results based on the coefficient k after current adjustment meet preliminary trustworthy metering error and are distributed in (μ-k σ, μ+k σ)
Fiducial probability be about 0.9974 requirement, it is determined that current coefficient k is sieves the load point using Pauta criterion
Used coefficient k when looking into.Then Pauta criterion after being adjusted based on coefficient k, according to error information from preliminary credible meter
Measure the suspicious measurement error found in error set in the load point.It will be understood by those skilled in the art that it can be directed to not
Its coefficient k is adjusted respectively with load point.
In some embodiments, it is recycled using suspicious in the preliminary trustworthy metering error set of Pauta criterion searching
Error.After performing a several suspicious measurement errors of Pauta criterion rejecting for preliminary trustworthy metering error set, due to sample
Originally it changes, the mean μ and testing standard difference σ of remaining measurement error are all changed, and can be directed to measurement error at this time
Pauta criterion is performed again, until in previous cycle, remaining measurement error performs La Yida after being recycled for the last time
During criterion, any suspicious measurement error is can not find, then terminates the cycle of Pauta criterion.
Fig. 2 shows an exemplary embodiment according to the disclosure based on improved Pauta criterion screening at some
Load the flow chart of the method for the suspicious measurement error of point.
In step 201, the preliminary trustworthy metering error set in the load point can be inputted, as treating screening measurement error；
In step 202, the mean μ for treating screening measurement error and testing standard difference σ can be calculated and determined in the load point
Improved Pauta criterion coefficient k so that the measurement error minute in the preliminary trustworthy metering error set of the load point
Fiducial probability of the cloth in (μ-k σ, μ+k σ) is 0.9974；
In step 203, treat to miss with the presence or absence of suspicious metering in screening measurement error based on the judgement of improved Pauta criterion
Difference.If it is present entering step 204, all suspicious measurement errors are rejected, and will be remaining in addition to the measurement error being removed
Measurement error treats screening measurement error as new, enters step 205, recalculates the mean μ for treating screening measurement error and examination
Standard deviation sigma is tested, is then return to step 203.
It is if in step 203 the result is that negative, terminates the screening based on Pauta criterion.
In some embodiments, it is recycled and is found in the first suspicious measurement error set more using Xiao Weina criterion
Suspicious measurement error.Similarly, it is rejected for first Yi Xiao Weina criterion of suspicious measurement error set execution therein thick
After difference data, since sample changes, the mean μ and testing standard difference σ of remaining measurement error are all changed, at this time
Xiao Weina criterion can be performed again for remaining measurement error, until in previous cycle, it is remaining after being recycled for the last time
Measurement error perform Xiao Weina criterion when, can not find any rough error data, then terminate the cycle of Xiao Weina criterion.
In some embodiments, it is recycled and the suspicious measurement error set of the first or second is found using Grobus criterion
In measurement error the most suspicious.Similarly, Yi Ge Luobusi is performed for the suspicious measurement error set of the first or second
After criterion rejects rough error data therein, since sample changes, the mean μ of remaining measurement error and testing standard difference σ
All changed, can perform Grobus criterion again for remaining measurement error at this time, until in previous cycle, needle
When remaining measurement error performs Grobus criterion after being recycled to the last time, any rough error data are can not find, then terminate Xiao Wei
Receive the cycle of criterion.
In order to improve the applicability of Grobus criterion, make it is final determined by suspicious error it is more accurate, can will be whether
The Rule of judgment for performing Xiao Weina criterion is set as：Whether the quantity of the measurement error in the first suspicious measurement error set is more than
100。
Embodiment 2
According to the disclosure, a kind of multiple criteria screening apparatus of the measurement error for intelligent electric energy meter is also disclosed, this is more
Criterion screening apparatus may include：First device for eliminating, the first screening apparatus, the second screening apparatus, third screening apparatus and second
Device for eliminating.
First device for eliminating is used to reject unqualified intelligent electric energy meter from multiple intelligent electric energy meters, remaining intelligence electric energy
The measurement error of table forms preliminary trustworthy metering error set.First screening apparatus is used for based on Pauta criterion from preliminary credible
Suspicious measurement error is found in measurement error set, the first suspicious meter is formed based on the suspicious measurement error that Pauta criterion is found
Measure error set.If the quantity of the measurement error in the first suspicious measurement error set is no more than predetermined threshold value, the second sieve
Device is looked into for finding suspicious measurement error from the first suspicious measurement error set based on Grobus criterion.If first can
The quantity for doubting the measurement error in measurement error set is more than predetermined threshold value, then third screening apparatus is first used for accurate based on Xiao Weina
Suspicious measurement error then is found from the first suspicious measurement error set, wherein being missed based on the suspicious metering that Xiao Weina criterion are found
Difference the second suspicious measurement error set of composition and third screening apparatus are used further to be based on Grobus criterion from the second suspicious meter
Suspicious measurement error is found in amount error set.Second device for eliminating by determine found based on Grobus criterion it is suspicious based on
The corresponding intelligent electric energy meter of amount error is similarly unqualified intelligent electric energy meter.
The Pauta criterion can be improved Pauta criterion, based on improved Pauta criterion from preliminary credible meter
Finding suspicious measurement error in amount error set can include：It can be based on desired fiducial probability regulation coefficient k so that preliminary
The fiducial probability that measurement error in trustworthy metering error set is distributed in (μ-k σ, μ+k σ) is the desired fiducial probability；
The Pauta criterion that may then based on after coefficient k adjustment finds suspicious measurement error from preliminary trustworthy metering error set.
Finding suspicious measurement error from preliminary trustworthy metering error set based on Pauta criterion can include：It can follow
Ring finds the suspicious measurement error in preliminary trustworthy metering error set using Pauta criterion, until being based in previous cycle
It can not find any suspicious measurement error in Pauta criterion, then end loop.
Finding suspicious measurement error from the first suspicious measurement error set based on Xiao Weina criterion can include：It can follow
Ring finds the suspicious measurement error in the first suspicious measurement error set using Xiao Weina criterion, until being based in previous cycle
It can not find any suspicious measurement error in Xiao Weina criterion, then end loop.
Finding suspicious measurement error from the suspicious measurement error set of the first or second based on Grobus criterion can wrap
It includes：The suspicious measurement error found using Grobus criterion in the suspicious measurement error set of the first or second can be recycled, directly
It is extremely based on can not find any suspicious measurement error in Xiao Weina criterion in previous cycle, then end loop.
Preferably, the predetermined threshold value can be 100.
Using example
A concrete application example is given below in the scheme and its effect of the embodiment of the present disclosure for ease of understanding.This field
It should be understood to the one skilled in the art that the example, only for the purposes of understanding the disclosure, any detail is not intended to be limited in any way
The disclosure processed.
In this exemplary concrete application example, according to the multiple criteria screening method of the disclosure to through examining and determine obtained a batch
The measurement error for the intelligent electric energy meter that total amount is 98098 carries out screening, wherein whether using the default threshold of Xiao Weina criterion screenings
Value is arranged to 100.
National standard measurement verification regulations can be first based on《JJG596-2012 electronic type AC energy meter vertification regulations》It carries out
Screening, rejects the measurement error for the requirement for not meeting the national standard measurement verification regulations, and thinks that remaining measurement error can
Form preliminary trustworthy metering error set.
Later, improved Pauta criterion can be used and find out suspicious data from preliminary trustworthy metering error set.For
The coefficient k of improved Pauta criterion is as shown in table 3 below determined by each load point：
The coefficient k of 3 improved Pauta criterion of table
| Load point | 0.05Ib,1.0 | 0.1Ib,1.0 | Ib,1.0 | 0.5Imax,1.0 | Imax,1.0 |
| Coefficient k | 4.3 | 4.8 | 5.1 | 4.9 | 4.9 |
| Load point | 0.1Ib,0.5L | 0.2Ib,0.5L | Ib,0.5L | 0.5Imax,0.5L | Imax,0.5L |
| Coefficient k | 4.2 | 4.8 | 5.0 | 5.1 | 4.7 |
Wherein, " 0.5Imax, in 1.0 ", 0.5Imax represents 50% that current value is maximum current, 1.0 represent power because
Son is 1.0, i.e. cos θ=1.0, θ represent the phasor angle of voltage and current；" in 0.1Ib, 0.5L ", 0.1Ib represents current value
10%, the 0.5L for rated current represents power factor, i.e. cos θ=0.5, θ represent the phasor angle of voltage and current, and L is represented
Inductive load.
Screening is carried out to the measurement error of each load point based on above-mentioned improved Pauta criterion, until by can not find again
Suspicious measurement error.Table 4 shows the number of suspicious measurement error found in each load point based on improved Pauta criterion
Amount：
The quantity of suspicious measurement error that table 4 is found based on improved Pauta criterion
| Load point | 0.05Ib,1.0 | 0.1Ib,1.0 | Ib,1.0 | 0.5Imax,1.0 | Imax,1.0 |
| Suspicious quantity | 149 | 160 | 155 | 156 | 150 |
| Load point | 0.1Ib,0.5L | 0.2Ib,0.5L | Ib,0.5L | 0.5Imax,0.5L | Imax,0.5L |
| Suspicious quantity | 156 | 161 | 161 | 171 | 159 |
In this application example, the quantity of the measurement error in the first suspicious measurement error set of each load point is all higher than
Therefore predetermined threshold value 100, for each load point, is both needed to first based on Xiao Weina criterion to first in suspicious measurement error set
Measurement error carries out screening, obtains the second suspicious measurement error set；Then Grobus criterion suspicious metering to second is used
Error set carries out screening.The suspicious measurement error data that finishing screen is found are as shown in table 5 below：
The quantity of suspicious measurement error that table 5 is found based on Grobus criterion
| Load point | 0.05Ib,1.0 | 0.1Ib,1.0 | Ib,1.0 | 0.5Imax,1.0 | Imax,1.0 |
| Suspicious quantity | 20 | 10 | 19 | 13 | 19 |
| Load point | 0.1Ib,0.5L | 0.2Ib,0.5L | Ib,0.5L | 0.5Imax,0.5L | Imax,0.5L |
| Suspicious quantity | 1 | 11 | 11 | 10 | 18 |
Finally, it is believed that intelligent electric energy meter corresponding with these suspicious measurement errors and advised according to national standard measurement verification
Those unqualified instrument that journey is rejected are the same, are equally underproof intelligent electric energy meters.Those skilled in the art should understand that
It is that for single intelligent electric energy meter, as long as it is considered underproof in arbitrary load point, then the intelligent electric energy meter is
It is confirmed as underproof intelligent electric energy meter.
As can be seen that the probability that the intelligent electric energy meter that above-mentioned screening results meet partial power offer breaks down is at thousand points
One of rank and following empirical value.
The disclosure can be system, method and/or computer program product.Computer program product can include computer
Readable storage medium storing program for executing, containing for make processor realize various aspects of the disclosure computer-readable program instructions.
Computer readable storage medium can keep and store to perform the tangible of the instruction that uses of equipment by instruction
Equipment.Computer readable storage medium for example can be-- but be not limited to-- storage device electric, magnetic storage apparatus, optical storage
Equipment, electromagnetism storage device, semiconductor memory apparatus or above-mentioned any appropriate combination.Computer readable storage medium
More specific example (non exhaustive list) includes：Portable computer diskette, random access memory (RAM), read-only is deposited hard disk
It is reservoir (ROM), erasable programmable read only memory (EPROM or flash memory), static RAM (SRAM), portable
Compact disk read-only memory (CD-ROM), digital versatile disc (DVD), memory stick, floppy disk, mechanical coding equipment, for example thereon
It is stored with the punch card of instruction or groove internal projection structure and above-mentioned any appropriate combination.Calculating used herein above
Machine readable storage medium storing program for executing is not interpreted instantaneous signal in itself, and the electromagnetic wave of such as radio wave or other Free propagations leads to
It crosses the electromagnetic wave (for example, the light pulse for passing through fiber optic cables) of waveguide or the propagation of other transmission mediums or is transmitted by electric wire
Electric signal.
Computer-readable program instructions as described herein can be downloaded to from computer readable storage medium it is each calculate/
Processing equipment downloads to outer computer or outer by network, such as internet, LAN, wide area network and/or wireless network
Portion's storage device.Network can include copper transmission cable, optical fiber transmission, wireless transmission, router, fire wall, interchanger, gateway
Computer and/or Edge Server.Adapter or network interface in each calculating/processing equipment are received from network to be counted
Calculation machine readable program instructions, and the computer-readable program instructions are forwarded, for the meter being stored in each calculating/processing equipment
In calculation machine readable storage medium storing program for executing.
For perform the disclosure operation computer program instructions can be assembly instruction, instruction set architecture (ISA) instruction,
Machine instruction, machine-dependent instructions, microcode, firmware instructions, condition setup data or with one or more programming languages
Arbitrarily combine the source code or object code write, the programming language includes the programming language of object-oriented-such as
Procedural programming languages-such as " C " language or similar programming language of Smalltalk, C++ etc. and routine.Computer
Readable program instructions can be performed fully, partly perform on the user computer, is only as one on the user computer
Vertical software package performs, part performs or on the remote computer completely in remote computer on the user computer for part
Or it is performed on server.In situations involving remote computers, remote computer can pass through network-packet of any kind
Include LAN (LAN) or wide area network (WAN)-be connected to subscriber computer or, it may be connected to outer computer (such as profit
Pass through Internet connection with ISP).In some embodiments, by using computer-readable program instructions
Status information carry out personalized customization electronic circuit, such as programmable logic circuit, field programmable gate array (FPGA) or can
Programmed logic array (PLA) (PLA), the electronic circuit can perform computer-readable program instructions, so as to fulfill each side of the disclosure
Face.
Referring herein to the method, apparatus (system) according to the embodiment of the present disclosure and the flow chart of computer program product and/
Or block diagram describes various aspects of the disclosure.It should be appreciated that each box and flow chart of flow chart and/or block diagram and/
Or in block diagram each box combination, can be realized by computer-readable program instructions.
These computer-readable program instructions can be supplied to all-purpose computer, special purpose computer or other programmable datas
The processor of processing unit, so as to produce a kind of machine so that these instructions are passing through computer or other programmable datas
When the processor of processing unit performs, produce and realize work(specified in one or more of flow chart and/or block diagram box
The device of energy/action.These computer-readable program instructions can also be stored in a computer-readable storage medium, these refer to
It enables so that computer, programmable data processing unit and/or other equipment work in a specific way, so as to be stored with instruction
Computer-readable medium then includes a manufacture, including realizing in one or more of flow chart and/or block diagram box
The instruction of the various aspects of defined function/action.
Computer-readable program instructions can also be loaded into computer, other programmable data processing units or other
In equipment so that series of operation steps are performed on computer, other programmable data processing units or miscellaneous equipment, with production
Raw computer implemented process, so that performed on computer, other programmable data processing units or miscellaneous equipment
Function/action specified in one or more of flow chart and/or block diagram box is realized in instruction.
Flow chart and block diagram in attached drawing show the system, method and computer journey of multiple embodiments according to the disclosure
Architectural framework in the cards, function and the operation of sequence product.In this regard, each box in flow chart or block diagram can generation
One module of table, program segment or a part for instruction, the module, program segment or a part for instruction include one or more use
In the executable instruction of logic function as defined in realization.In some implementations as replacements, the function of being marked in box
It can be occurred with being different from the sequence marked in attached drawing.For example, two continuous boxes can essentially be held substantially in parallel
Row, they can also be performed in the opposite order sometimes, this is depended on the functions involved.It is also noted that block diagram and/or
The combination of each box in flow chart and the box in block diagram and/or flow chart can use function or dynamic as defined in performing
The dedicated hardware based system made is realized or can be realized with the combination of specialized hardware and computer instruction.
The presently disclosed embodiments is described above, above description is exemplary, and non-exclusive, and
It is not limited to disclosed each embodiment.In the case of without departing from the scope and spirit of illustrated each embodiment, for this skill
Many modifications and changes will be apparent from for the those of ordinary skill in art field.The selection of term used herein, purport
In the principle for best explaining each embodiment, practical application or to the improvement of the technology in market or make the art
Other those of ordinary skill are understood that each embodiment disclosed herein.
Claims (10)
1. a kind of multiple criteria screening method of measurement error for intelligent electric energy meter, including：
Unqualified intelligent electric energy meter is rejected from multiple intelligent electric energy meters according to measurement verification regulations, remaining intelligent electric energy meter
Measurement error forms preliminary trustworthy metering error set；
Suspicious measurement error is found from preliminary trustworthy metering error set based on Pauta criterion, is found based on Pauta criterion
Suspicious measurement error form the first suspicious measurement error set；
If the quantity of the measurement error in the first suspicious measurement error set is no more than predetermined threshold value, based on Ge Luobusi standards
Then suspicious measurement error is found from the first suspicious measurement error set；
If the quantity of the measurement error in the first suspicious measurement error set be more than predetermined threshold value, based on Xiao Weina criterion from
Suspicious measurement error is found in first suspicious measurement error set, the suspicious measurement error composition found based on Xiao Weina criterion the
Two suspicious measurement error set, then suspicious metering is found from the second suspicious measurement error set based on Grobus criterion and is missed
Difference；
It determines to be similarly unqualified intelligence electricity based on the corresponding intelligent electric energy meter of suspicious measurement error that Grobus criterion is found
It can table.
2. multiple criteria screening method according to claim 1, wherein, the Pauta criterion is improved La Yida accurate
Then, suspicious measurement error is found from preliminary trustworthy metering error set based on improved Pauta criterion to include：
Based on desired fiducial probability regulation coefficient k so that the measurement error in preliminary trustworthy metering error set be distributed in (μ-
K σ, μ+k σ) in fiducial probability for the desired fiducial probability, wherein, μ is average value, and σ is testing standard deviation；
Pauta criterion after being adjusted based on coefficient k finds suspicious measurement error from preliminary trustworthy metering error set.
3. multiple criteria screening method according to claim 1, wherein, based on Pauta criterion from preliminary trustworthy metering error
Suspicious measurement error is found in set to include：
Cycle finds the suspicious measurement error in preliminary trustworthy metering error set using Pauta criterion, until in previous cycle
In based on can not find any suspicious measurement error in Pauta criterion, then end loop.
4. multiple criteria screening method according to claim 1, wherein, based on Xiao Weina criterion from the first suspicious measurement error
Suspicious measurement error is found in set to include：
Cycle finds the suspicious measurement error in the first suspicious measurement error set using Xiao Weina criterion, until in previous cycle
In based on can not find any suspicious measurement error in Xiao Weina criterion, then end loop.
5. multiple criteria screening method according to claim 1, wherein, it is suspicious from the first or second based on Grobus criterion
Suspicious measurement error is found in measurement error set to include：
Cycle finds the suspicious measurement error in the suspicious measurement error set of the first or second using Grobus criterion, until
It is based on can not find any suspicious measurement error in Xiao Weina criterion in previous cycle, then end loop.
6. multiple criteria screening method according to claim 1, wherein, the predetermined threshold value is 100.
7. a kind of multiple criteria screening apparatus of measurement error for intelligent electric energy meter, including：
First device for eliminating, for rejecting unqualified intelligent electric energy meter from multiple intelligent electric energy meters according to measurement verification regulations,
The measurement error of remaining intelligent electric energy meter forms preliminary trustworthy metering error set；
First screening apparatus finds suspicious measurement error for being based on Pauta criterion from preliminary trustworthy metering error set,
First suspicious measurement error set is formed based on the suspicious measurement error that Pauta criterion is found；
Second screening apparatus if the quantity of the measurement error in the first suspicious measurement error set is no more than predetermined threshold value, is used
In finding suspicious measurement error from the first suspicious measurement error set based on Grobus criterion；
Third screening apparatus if the quantity of the measurement error in the first suspicious measurement error set is more than predetermined threshold value, is used for
Suspicious measurement error is found from the first suspicious measurement error set based on Xiao Weina criterion, based on Xiao Weina criterion find can
Measurement error is doubted to form the second suspicious measurement error set and be used further to miss from the second suspicious metering based on Grobus criterion
Suspicious measurement error is found in difference set；
Second device for eliminating, it is same for the determining corresponding intelligent electric energy meter of suspicious measurement error found based on Grobus criterion
Sample is unqualified intelligent electric energy meter.
8. multiple criteria screening apparatus according to claim 7, wherein, the Pauta criterion is improved La Yida accurate
Then, suspicious measurement error is found from preliminary trustworthy metering error set based on improved Pauta criterion to include：
Based on desired fiducial probability regulation coefficient k so that the measurement error in preliminary trustworthy metering error set be distributed in (μ-
K σ, μ+k σ) in fiducial probability for the desired fiducial probability, wherein, μ is average value, and σ is testing standard deviation；
Pauta criterion after being adjusted based on coefficient k finds suspicious measurement error from preliminary trustworthy metering error set.
9. multiple criteria screening apparatus according to claim 7, wherein, based on Pauta criterion from preliminary trustworthy metering error
Suspicious measurement error is found in set to include：
Cycle finds the suspicious measurement error in preliminary trustworthy metering error set using Pauta criterion, until in previous cycle
In based on can not find any suspicious measurement error in Pauta criterion, then end loop.
10. multiple criteria screening apparatus according to claim 7, wherein, it is missed based on Xiao Weina criterion from the first suspicious metering
Suspicious measurement error is found in difference set to include：
Cycle finds the suspicious measurement error in the first suspicious measurement error set using Xiao Weina criterion, until in previous cycle
In based on can not find any suspicious measurement error in Xiao Weina criterion, then end loop.
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| CN108008337A (en) * | 2017-11-08 | 2018-05-08 | 国网冀北电力有限公司电力科学研究院 | The computational methods and device of electric energy meter measurement error uniformity |
| CN107991558B (en) * | 2017-11-23 | 2020-02-14 | 国网福建省电力有限公司 | Digital calibration method based on t distribution inspection method |
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| CN111999692B (en) * | 2019-05-27 | 2023-03-14 | 深圳电蚂蚁数据技术有限公司 | Multi-table error calibration method and device |
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