CN104880691B - A kind of evaluation method of Electric Energy Tariff Point Metering Device running status - Google Patents
A kind of evaluation method of Electric Energy Tariff Point Metering Device running status Download PDFInfo
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Abstract
The present invention relates to a kind of evaluation method of Electric Energy Tariff Point Metering Device running status, it is characterised in that comprises the following steps：1) by the initial data of long-distance metering device on-line monitoring system collection site Electric Energy Tariff Point Metering Device, and initial data is uploaded in the data server of upper PC；2) upper PC is classified to initial data, and according to sorted initial data, establishes the mathematical modeling of Electric Energy Tariff Point Metering Device postitallation evaluation；3) according to the mathematical modeling of the Electric Energy Tariff Point Metering Device postitallation evaluation of foundation, Electric Energy Tariff Point Metering Device is run and carries out running status grade evaluation, energy metering plant running appraisement system is established, the operation trend of Electric Energy Tariff Point Metering Device is predicted according to energy metering plant running appraisement system and carries out early warning.Compared with prior art, the present invention have the advantages that scientific and reasonable, research object specific number is more, involve a wide range of knowledge, architecture, intellectuality.
Description
Technical field
The present invention relates to power domain, more particularly, to a kind of evaluation method of Electric Energy Tariff Point Metering Device running status.
Background technology
Energy metering is the important ring under big marketing system in three collection, five big system, energy metering plant running situation
Quality not only embodies managerial skills, and more relation sells power purchase both sides' economic benefit.For fair, just and open, public fuse tube reason dress
Put, safeguard the seriousness of metering, it is necessary to running situation is refined and evaluation of classification, for technology it is counter arrange offer science according to
According to.
At present, judge that it runs shape mainly by way of periodic calibration for the electric power meter of scene operation
State.And periodic calibration is present that workload is big, labor intensive material resources are big, fault discovery not in time, after failure electric quantity compensating according to not
The series of malpractice such as abundant.Therefore, the evaluation of running status system for establishing Electric Energy Tariff Point Metering Device be currently there is an urgent need to.
In the past 20 years, for big system and its equipment, the experience of foreign, from scheduled overhaul iterative method to state
Maintenance, its practical significance is self-evident, but crucial part, can promptly and accurately grasp the running status situation of equipment.Establish
Electric Energy Tariff Point Metering Device postitallation evaluation system is one and incited somebody to action《Electric power meter technical management code》Actual requirement architecture,
Information-based work.
At present, domestic and international electric power research institution and enterprise do not form evaluation body to Electric Energy Tariff Point Metering Device running status
System, it is most of all to concentrate on single direction or distributing research, preferably at most monitoring system, fundamentally it is only limitted to state research.
And the research of the present invention is based on establishing a kind of postitallation evaluation system, it may be said that research of the invention is ground based on the former state
Study carefully, but there is own characteristic again simultaneously.
The evaluation of running status system of Electric Energy Tariff Point Metering Device and long-range monitoring scheme research contribute to Utilities Electric Co. pair
Scene operation Electric Energy Tariff Point Metering Device state grade have clear judgement, to selling, power purchase both sides the defects of manage duty
Duty definitely, scientific basis is provided for electric quantity compensating.
The content of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide a kind of scientific and reasonable, research
Object specific number is more, involve a wide range of knowledge, architecture, the evaluation method of intelligentized Electric Energy Tariff Point Metering Device running status.
The purpose of the present invention can be achieved through the following technical solutions：
A kind of evaluation method of Electric Energy Tariff Point Metering Device running status, comprises the following steps：
1) by the initial data of long-distance metering device on-line monitoring system collection site Electric Energy Tariff Point Metering Device, and will
Initial data is uploaded in the data server of upper PC；
2) upper PC is classified to initial data, and according to sorted initial data, establishes critical point electric energy metrical
The mathematical modeling of plant running evaluation；
3) according to the mathematical modeling of the Electric Energy Tariff Point Metering Device postitallation evaluation of foundation, Electric Energy Tariff Point Metering Device is run
Running status grade evaluation is carried out, establishes energy metering plant running appraisement system, body is evaluated according to energy metering plant running
The operation trend of system's prediction Electric Energy Tariff Point Metering Device simultaneously carries out early warning.
The mathematical modeling of Electric Energy Tariff Point Metering Device postitallation evaluation includes electric energy meter postitallation evaluation in described step 2)
Mathematical modeling, the mathematical modeling of current transformer postitallation evaluation, the mathematical modeling of voltage transformer postitallation evaluation and metering device
The mathematical modeling of secondary circuit postitallation evaluation.
The foundation of the mathematical modeling of described electric energy meter postitallation evaluation specifically includes following steps：
11) the initial health index HI of electric energy meter operation is obtained1, the initial health index HI of electric energy meter operation1Calculating formula
For：
B=B0×fAE×fDE
Wherein, HI0For the initial health index of brand-new electric energy meter, HI10For theoretical aging health index, B is actual aging
Constant, Δ T are that electric energy meter runs the time limit, T2To assess time, T1For electric energy meter date of putting into operation, T10For the electric energy meter date of production, B0
For theoretical aging constant, T0For the design service life of electric energy meter, fAEFor electric energy meter installation environment coefficient, fDEFor operation of power networks ring
Border coefficient, fSWDFor humiture coefficient, fDCGRFor interference of electromagnetic field coefficient, fKLWFor particle concentration coefficient, fFHXZFor load character
Coefficient, fYXDYFor working voltage coefficient, fPLBDFor frequency fluctuation coefficient, fXBFor harmonic constant, fHZPLFor switch combined floodgate frequency system
Number, fFHBHFor diversity factor, fJDFDFor static discharge coefficient, fLJFor the coefficient that is struck by lightning, n is the number that coefficient is more than 1, and S is
Step-length；
12) the comprehensive correction factor f of electric energy meter operation is obtainedCOM, described comprehensive correction factor fCOMCalculating formula be：
Wherein, fKKFor coefficient of reliability, fLSGZCoefficient, f are recorded for historical failureF1For electric energy meter button coefficient, fF2For table
Shield background modulation factor, fF3For remote communication module coefficient, fYXBCTo run coefficient of variation, fJLXNFor metering performance coefficient, fWCFor
Error coefficient, fQDFor electric energy meter shunt running coefficient, fBQDFor the not startup coefficient of electric energy meter under underload, fTZStop walking for electric energy meter and be
Number, fYQJFor component coefficient, fCLDYFor electric energy meter processing unit coefficient, fNBRJFor in house software coefficient, fBDDFor memory cell table
Bottom degree coefficient, fCCDLFor memory cell storing electricity coefficient, fJDQFor control unit relay coefficient, fKXSCControlled for control unit
Signal output coefficient, fSCFor output factor, fDCGZBattery failures coefficient, f are shown for liquid crystal displayBIDFor modulation factor of alarming, fTXGZFor
Communication failure coefficient, fHEIPTo show blank screen coefficient, fHUAPFor display flower screen coefficient, fLMTo show mess code coefficient, fCHXXFor display
Rainbow phenomena coefficient, fCXTWTo show discontinuously display image retention and hangover coefficient, fLYTo show leakage coefficient, fLEDShow for indicator lamp
Show coefficient, fWGFor outward appearance coefficient, fBKFor watchcase coefficient, fAJFor button coefficient, fMPFor nameplate coefficient, fFYFor seal coefficient, fJXDZ
For binding post coefficient, fYJFor liquid crystal coefficient, fQTGZFor other failure coefficients, fSJCFor time difference coefficient, fSDZHChanged for the period
Coefficient, fRNZHFor leap year conversion coefficient, fSBTo burn table coefficient, fDCFor battery coefficient, n is the number that coefficient is more than 1, and S is step-length；
13) according to initial health index HI1With comprehensive correction factor fCOMEstablish the mathematical modeling of electric energy meter postitallation evaluation
For：
HI=max (HI1,HIi)×fCOM
The foundation of the mathematical modeling of described current transformer postitallation evaluation specifically includes following steps：
21) the initial health index HI of current transformer operation is obtained1, the initial health index HI of current transformer operation1
Calculating formula be：
B=B0×fAE×fDE
Wherein, HI0For the initial health index of brand-new current transformer, HI10For theoretical aging health index, B is actual
Aging constant, Δ T are that current transformer runs the time limit, T2To assess time, T1For current transformer date of putting into operation, T10For electric current
The transformer date of production, B0For theoretical aging constant, T0For the design service life of current transformer, fAEPacify for current transformer
Fill environmental coefficient, fDEFor operation of power networks environmental coefficient, fSWDFor humiture coefficient, fDCGRFor interference of electromagnetic field coefficient, fKLWFor
Grain thing concentration factor, fFHXZFor load character coefficient, fYXDYFor working voltage coefficient, fPLBDFor frequency fluctuation coefficient, fXBFor harmonic wave
Coefficient, fHZPLTo switch combined floodgate coefficient of frequency, fFHBHFor diversity factor, fJDFDFor static discharge coefficient, fLJIt is for thunderbolt
Number, n are the number that coefficient is more than 1, and S is step-length；
22) the comprehensive correction factor f of current transformer operation is obtainedCOM, comprehensive correction factor fCOMCalculating formula be：
fWJY=max (fWJY1,fWJY2)+(n-1)·S
Wherein, fKKFor coefficient of reliability, fYXBCTo run coefficient of variation, fYXZJFor operation week inspection actual measurement value coefficient, fYXGKFor
Operating condition coefficient, fGLYSFor power factor coefficient, fYCSXFor abnormal noise coefficient, fSCYXCoefficient, f are influenceed for remanent magnetismGYLDLFor height
Press influence of leakage current coefficient, fMFTo seal property coefficient, fWJYFor external insulation coefficient, fWJY1For external insulation antifouling work level error coefficient,
fWJY2For body external insulation surface condition coefficient, fBTWSFor bulk temperature rising coefficient, fDZWSFor connection terminal and drainage thread temperature rise system
Number, fWGFor outward appearance coefficient, fWGPFor expander coefficient, fWGDFor base coefficient, fWGEFor secondary terminal box coefficient, fWGYFor drainage thread
Coefficient, fWGJFor down conductor coefficient, fQTYLFor SF6Gas pressure coefficient, fJYDZFor winding insulation resistance coefficient, fJZSHBased on
Insulation dielectric loss factor coefficient, fZDRLFor main insulated electro capacity coefficient, fMPJYFor end shield insulating coefficient, fYSPFor oil colours pedigree
Number, fJBFDFor shelf depreciation coefficient, fWSHLFor SF6Gas micro water content coefficient, n are the number that coefficient is more than 1, and S is step-length；
23) according to initial health index HI1With comprehensive correction factor fCOMEstablish the mathematical modulo of current transformer postitallation evaluation
Type is：
HI=max (HI1,HIi)×fCOM
The foundation of the mathematical modeling of described voltage transformer postitallation evaluation specifically includes following steps：
31) the initial health index HI of voltage transformer operation is obtained1, the initial health index HI of voltage transformer operation1
Calculating formula be：
B=B0×fAE×fDE
Wherein, HI0For the initial health index of brand-new voltage transformer, HI10For theoretical aging health index, B is actual
Aging constant, Δ T are that voltage transformer runs the time limit, T2To assess time, T1For voltage transformer date of putting into operation, T10For voltage
The transformer date of production, B0For theoretical aging constant, T0For the design service life of voltage transformer, fAEPacify for voltage transformer
Fill environmental coefficient, fDEFor operation of power networks environmental coefficient, fSWDFor humiture coefficient, fDCGRFor interference of electromagnetic field coefficient, fKLWFor
Grain thing concentration factor, fFHXZFor load character coefficient, fYXDYFor working voltage coefficient, fPLBDFor frequency fluctuation coefficient, fXBFor harmonic wave
Coefficient, fHZPLTo switch combined floodgate coefficient of frequency, fFHBHFor diversity factor, fJDFDFor static discharge coefficient, fLJIt is for thunderbolt
Number, n are the number that coefficient is more than 1, and S is step-length；
32) the comprehensive correction factor f of voltage transformer operation is obtainedCOM, comprehensive correction factor fCOMCalculating formula be：
fWJY=max (fWJY1,fWJY2)+(n-1)·S
Wherein, fKKFor coefficient of reliability, fYXBCTo run coefficient of variation, fYXZJFor operation week inspection actual measurement value coefficient, fYXGKFor
Operating condition coefficient, fGLYSFor power factor coefficient, fYCSXFor abnormal noise coefficient, fMFTo seal property coefficient, fWJYFor external insulation
Coefficient, fWJY1For external insulation antifouling work level error coefficient, fWJY2For body external insulation surface condition coefficient, fBTWSFor bulk temperature rising
Coefficient, fDZWSFor connection terminal and drainage thread temperature rise coefficient, fWGFor outward appearance coefficient, fWGPFor expander coefficient, fWGDFor base system
Number, fWGEFor secondary terminal box coefficient, fWGYFor drainage thread coefficient, fWGJFor down conductor coefficient, fJJDZBetween capacitor pole absolutely
Edge resistance, fZJBYQFor intermediate transformer secondary winding insulaion resistance coefficient, fFYQJSFor capacitive divider medium consumption factor system
Number, fDRLFor capacitive divider electric capacity coefficient of discharge, fQTYLFor SF6Gas pressure coefficient, fJYDZFor winding insulation resistance coefficient, fJZSH
For winding insulation medium consumption factor coefficient, fZJJSFor support insulation dissipation factor, fYSPFor oil colours spectral coefficient, fJBFDFor office
Portion's discharge coefficient, fWSHLFor SF6Gas micro water content coefficient, n are the number that coefficient is more than 1, and S is step-length；
33) according to initial health index HI1With comprehensive correction factor fCOMEstablish the mathematical modulo of voltage transformer postitallation evaluation
Type is：
HI=max (HI1,HIi)×fCOM
The foundation of the mathematical modeling of described metering device secondary circuit postitallation evaluation specifically includes following steps：
41) the initial health index HI of metering device secondary circuit operation is obtained1, at the beginning of the operation of metering device secondary circuit
Beginning health index HI1Calculating formula be：
HI1=max (HIDL,HIPTYJ,HIPTFH,HICTFH)
B=B0×fAE×fDE
Wherein, HIPTYJFor PT secondary voltage drop initial health indexes, HIPTFHFor PT secondary load initial health indexes, HICTFH
For CT secondary load initial health indexes, HIDLFor cable initial health index, HI0For the first of brand-new metering device secondary circuit
Beginning health index, B are actual aging constant, and Δ T is that metering device secondary circuit runs the time limit, T2To assess time, T1For metering
Device secondary circuit date of putting into operation, B0For theoretical aging constant, T0For the design service life of metering device secondary circuit, fAEFor
Metering device secondary circuit installation environment coefficient, fDEFor operation of power networks environmental coefficient, fSWDFor humiture coefficient, fDCGRFor electromagnetism
Field interference coefficient, fKLWFor particle concentration coefficient, fFHXZFor load character coefficient, fYXDYFor working voltage coefficient, fPLBDFor frequency
Rate coefficient of variation, fXBFor harmonic constant, fHZPLTo switch combined floodgate coefficient of frequency, fFHBHFor diversity factor, fJDFDPut for electrostatic
Electrostrictive coefficient, fLJFor the coefficient that is struck by lightning, n is the number that coefficient is more than 1, and S is step-length；
42) the comprehensive correction factor f of metering device secondary circuit operation is obtainedCOM, comprehensive correction factor fCOMCalculating formula
For：
Wherein, fPTYJValue coefficient, f are surveyed for PT secondary voltage drops errorPTFHValue coefficient, f are surveyed for PT secondary loadsCTFHFor
CT secondary loads survey value coefficient, fZHWCFor metering device composition error, fCTKLFor CT secondary circuits open circuit coefficient, fCTDLFor CT
Secondary loop short circuit coefficient, fPTQXFor PT secondary circuit phase shortage coefficients, fPTDLFor PT secondary loop short circuit coefficients, n is more than for coefficient
1 number, S are step-length；
43) according to initial health index HI1With comprehensive correction factor fCOMEstablish metering device secondary circuit postitallation evaluation
Mathematical modeling is：
HI=HI1×fCOM。
Compared with prior art, the present invention has advantages below：
First, it is scientific and reasonable：The present invention is advantageous to establish a set of postitallation evaluation system based on Electric Energy Tariff Point Metering Device, real
Show the operation conditions to electric energy meter, current transformer, the operation conditions of voltage transformer, the operation conditions of secondary circuit to carry out
Scientifically and rationally evaluate, and establish defect management theory, improve the ability that partial power averts risks.
2nd, research object specific number is more, involves a wide range of knowledge：The research object of the present invention is run for Electric Energy Tariff Point Metering Device
Situation, field electric energy measurement device remote condition monitoring device is relied on, and combine the letter that actually puts into operation of Electric Energy Tariff Point Metering Device
Breath, periodic calibration information etc., obtain more comprehensively evaluating claim, and its coverage includes stock and the critical point electric energy in putting into operation
Metering device.
3rd, architecture, intellectuality：By dividing the formulation of detailed rules and regulations, Ke Yijian to Electric Energy Tariff Point Metering Device state grade
All kinds of abnormal alarms and early warning mechanism are found, judges whether the operation conditions of current metering device secondary circuit belongs to alarm model according to this
Enclose and whether need early warning, realize architecture, the intellectuality of metering device management.
Brief description of the drawings
Fig. 1 is flow chart of the method for the present invention.
Embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.
Embodiment：
As shown in figure 1, a kind of evaluation method of Electric Energy Tariff Point Metering Device running status, comprises the following steps：
1) by the initial data of long-distance metering device on-line monitoring system collection site Electric Energy Tariff Point Metering Device, and will
Initial data is uploaded in the data server of upper PC；
2) upper PC is classified to initial data, and according to sorted initial data, establishes critical point electric energy metrical
The mathematical modeling of plant running evaluation, the mathematical modeling of Electric Energy Tariff Point Metering Device postitallation evaluation include electric energy meter postitallation evaluation
Mathematical modeling, the mathematical modeling of current transformer postitallation evaluation, the mathematical modeling of voltage transformer postitallation evaluation and metering device
The mathematical modeling of secondary circuit postitallation evaluation；
The foundation of the mathematical modeling of electric energy meter postitallation evaluation specifically includes following steps：
11) the initial health index HI of electric energy meter operation is obtained1, the initial health index HI of electric energy meter operation1Calculating formula
For：
B=B0×fAE×fDE
Wherein, HI0For the initial health index of brand-new electric energy meter, HI10For theoretical aging health index, B is actual aging
Constant, Δ T are that electric energy meter runs the time limit, T2To assess time, T1For electric energy meter date of putting into operation, T10For the electric energy meter date of production, B0
For theoretical aging constant, T0For the design service life of electric energy meter, fAEFor electric energy meter installation environment coefficient, fDEFor operation of power networks ring
Border coefficient, fSWDFor humiture coefficient, fDCGRFor interference of electromagnetic field coefficient, fKLWFor particle concentration coefficient, fFHXZFor load character
Coefficient, fYXDYFor working voltage coefficient, fPLBDFor frequency fluctuation coefficient, fXBFor harmonic constant, fHZPLFor switch combined floodgate frequency system
Number, fFHBHFor diversity factor, fJDFDFor static discharge coefficient, fLJFor the coefficient that is struck by lightning, n is the number that coefficient is more than 1, and S is
Step-length；
12) the comprehensive correction factor f of electric energy meter operation is obtainedCOM, comprehensive correction factor fCOMCalculating formula be：
Wherein, fKKFor coefficient of reliability, fLSGZCoefficient, f are recorded for historical failureF1For electric energy meter button coefficient, fF2For table
Shield background modulation factor, fF3For remote communication module coefficient, fYXBCTo run coefficient of variation, fJLXNFor metering performance coefficient, fWCFor
Error coefficient, fQDFor electric energy meter shunt running coefficient, fBQDFor the not startup coefficient of electric energy meter under underload, fTZStop walking for electric energy meter and be
Number, fYQJFor component coefficient, fCLDYFor electric energy meter processing unit coefficient, fNBRJFor in house software coefficient, fBDDFor memory cell table
Bottom degree coefficient, fCCDLFor memory cell storing electricity coefficient, fJDQFor control unit relay coefficient, fKXSCControlled for control unit
Signal output coefficient, fSCFor output factor, fDCGZBattery failures coefficient, f are shown for liquid crystal displayBIDFor modulation factor of alarming, fTXGZFor
Communication failure coefficient, fHEIPTo show blank screen coefficient, fHUAPFor display flower screen coefficient, fLMTo show mess code coefficient, fCHXXFor display
Rainbow phenomena coefficient, fCXTWTo show discontinuously display image retention and hangover coefficient, fLYTo show leakage coefficient, fLEDShow for indicator lamp
Show coefficient, fWGFor outward appearance coefficient, fBKFor watchcase coefficient, fAJFor button coefficient, fMPFor nameplate coefficient, fFYFor seal coefficient, fJXDZ
For binding post coefficient, fYJFor liquid crystal coefficient, fQTGZFor other failure coefficients, fSJCFor time difference coefficient, fSDZHChanged for the period
Coefficient, fRNZHFor leap year conversion coefficient, fSBTo burn table coefficient, fDCFor battery coefficient, n is the number that coefficient is more than 1, and S is step-length；
13) according to initial health index HI1With comprehensive correction factor fCOMEstablish the mathematical modeling of electric energy meter postitallation evaluation
For：
HI=max (HI1,HIi)×fCOM
The foundation of the mathematical modeling of current transformer postitallation evaluation specifically includes following steps：
21) the initial health index HI of current transformer operation is obtained1, the initial health index HI of current transformer operation1
Calculating formula be：
B=B0×fAE×fDE
Wherein, HI0For the initial health index of brand-new current transformer, HI10For theoretical aging health index, B is actual
Aging constant, Δ T are that current transformer runs the time limit, T2To assess time, T1For current transformer date of putting into operation, T10For electric current
The transformer date of production, B0For theoretical aging constant, T0For the design service life of current transformer, fAEPacify for current transformer
Fill environmental coefficient, fDEFor operation of power networks environmental coefficient, fSWDFor humiture coefficient, fDCGRFor interference of electromagnetic field coefficient, fKLWFor
Grain thing concentration factor, fFHXZFor load character coefficient, fYXDYFor working voltage coefficient, fPLBDFor frequency fluctuation coefficient, fXBFor harmonic wave
Coefficient, fHZPLTo switch combined floodgate coefficient of frequency, fFHBHFor diversity factor, fJDFDFor static discharge coefficient, fLJIt is for thunderbolt
Number, n are the number that coefficient is more than 1, and S is step-length；
22) the comprehensive correction factor f of current transformer operation is obtainedCOM, comprehensive correction factor fCOMCalculating formula be：
fWJY=max (fWJY1,fWJY2)+(n-1)·S
Wherein, fKKFor coefficient of reliability, fYXBCTo run coefficient of variation, fYXZJFor operation week inspection actual measurement value coefficient, fYXGKFor
Operating condition coefficient, fGLYSFor power factor coefficient, fYCSXFor abnormal noise coefficient, fSCYXCoefficient, f are influenceed for remanent magnetismGYLDLFor height
Press influence of leakage current coefficient, fMFTo seal property coefficient, fWJYFor external insulation coefficient, fWJY1For external insulation antifouling work level error coefficient,
fWJY2For body external insulation surface condition coefficient, fBTWSFor bulk temperature rising coefficient, fDZWSFor connection terminal and drainage thread temperature rise system
Number, fWGFor outward appearance coefficient, fWGPFor expander coefficient, fWGDFor base coefficient, fWGEFor secondary terminal box coefficient, fWGYFor drainage thread
Coefficient, fWGJFor down conductor coefficient, fQTYLFor SF6Gas pressure coefficient, fJYDZFor winding insulation resistance coefficient, fJZSHBased on
Insulation dielectric loss factor coefficient, fZDRLFor main insulated electro capacity coefficient, fMPJYFor end shield insulating coefficient, fYSPFor oil colours pedigree
Number, fJBFDFor shelf depreciation coefficient, fWSHLFor SF6Gas micro water content coefficient, n are the number that coefficient is more than 1, and S is step-length；
23) according to initial health index HI1With comprehensive correction factor fCOMEstablish the mathematical modulo of current transformer postitallation evaluation
Type is：
HI=max (HI1,HIi)×fCOM
The foundation of the mathematical modeling of voltage transformer postitallation evaluation specifically includes following steps：
31) the initial health index HI of voltage transformer operation is obtained1, the initial health index HI of voltage transformer operation1
Calculating formula be：
B=B0×fAE×fDE
Wherein, HI0For the initial health index of brand-new voltage transformer, HI10For theoretical aging health index, B is actual
Aging constant, Δ T are that voltage transformer runs the time limit, T2To assess time, T1For voltage transformer date of putting into operation, T10For voltage
The transformer date of production, B0For theoretical aging constant, T0For the design service life of voltage transformer, fAEPacify for voltage transformer
Fill environmental coefficient, fDEFor operation of power networks environmental coefficient, fSWDFor humiture coefficient, fDCGRFor interference of electromagnetic field coefficient, fKLWFor
Grain thing concentration factor, fFHXZFor load character coefficient, fYXDYFor working voltage coefficient, fPLBDFor frequency fluctuation coefficient, fXBFor harmonic wave
Coefficient, fHZPLTo switch combined floodgate coefficient of frequency, fFHBHFor diversity factor, fJDFDFor static discharge coefficient, fLJIt is for thunderbolt
Number, n are the number that coefficient is more than 1, and S is step-length；
32) the comprehensive correction factor f of voltage transformer operation is obtainedCOM, comprehensive correction factor fCOMCalculating formula be：
fWJY=max (fWJY1,fWJY2)+(n-1)·S
Wherein, fKKFor coefficient of reliability, fYXBCTo run coefficient of variation, fYXZJFor operation week inspection actual measurement value coefficient, fYXGKFor
Operating condition coefficient, fGLYSFor power factor coefficient, fYCSXFor abnormal noise coefficient, fMFTo seal property coefficient, fWJYFor external insulation
Coefficient, fWJY1For external insulation antifouling work level error coefficient, fWJY2For body external insulation surface condition coefficient, fBTWSFor bulk temperature rising
Coefficient, fDZWSFor connection terminal and drainage thread temperature rise coefficient, fWGFor outward appearance coefficient, fWGPFor expander coefficient, fWGDFor base system
Number, fWGEFor secondary terminal box coefficient, fWGYFor drainage thread coefficient, fWGJFor down conductor coefficient, fJJDZBetween capacitor pole absolutely
Edge resistance, fZJBYQFor intermediate transformer secondary winding insulaion resistance coefficient, fFYQJSFor capacitive divider medium consumption factor system
Number, fDRLFor capacitive divider electric capacity coefficient of discharge, fQTYLFor SF6Gas pressure coefficient, fJYDZFor winding insulation resistance coefficient, fJZSH
For winding insulation medium consumption factor coefficient, fZJJSFor support insulation dissipation factor, fYSPFor oil colours spectral coefficient, fJBFDFor office
Portion's discharge coefficient, fWSHLFor SF6Gas micro water content coefficient, n are the number that coefficient is more than 1, and S is step-length；
33) according to initial health index HI1With comprehensive correction factor fCOMEstablish the mathematical modulo of voltage transformer postitallation evaluation
Type is：
HI=max (HI1,HIi)×fCOM
The foundation of the mathematical modeling of metering device secondary circuit postitallation evaluation specifically includes following steps：
41) the initial health index HI of metering device secondary circuit operation is obtained1, at the beginning of the operation of metering device secondary circuit
Beginning health index HI1Calculating formula be：
HI1=max (HIDL,HIPTYJ,HIPTFH,HICTFH)
B=B0×fAE×fDE
Wherein, HIPTYJFor PT secondary voltage drop initial health indexes, HIPTFHFor PT secondary load initial health indexes, HICTFH
For CT secondary load initial health indexes, HIDLFor cable initial health index, HI0For the first of brand-new metering device secondary circuit
Beginning health index, B are actual aging constant, and Δ T is that metering device secondary circuit runs the time limit, T2To assess time, T1For metering
Device secondary circuit date of putting into operation, B0For theoretical aging constant, T0For the design service life of metering device secondary circuit, fAEFor
Metering device secondary circuit installation environment coefficient, fDEFor operation of power networks environmental coefficient, fSWDFor humiture coefficient, fDCGRFor electromagnetism
Field interference coefficient, fKLWFor particle concentration coefficient, fFHXZFor load character coefficient, fYXDYFor working voltage coefficient, fPLBDFor frequency
Rate coefficient of variation, fXBFor harmonic constant, fHZPLTo switch combined floodgate coefficient of frequency, fFHBHFor diversity factor, fJDFDPut for electrostatic
Electrostrictive coefficient, fLJFor the coefficient that is struck by lightning, n is the number that coefficient is more than 1, and S is step-length；
42) the comprehensive correction factor f of metering device secondary circuit operation is obtainedCOM, comprehensive correction factor fCOMCalculating formula
For：
Wherein, fPTYJValue coefficient, f are surveyed for PT secondary voltage drops errorPTFHValue coefficient, f are surveyed for PT secondary loadsCTFHFor
CT secondary loads survey value coefficient, fZHWCFor metering device composition error, fCTKLFor CT secondary circuits open circuit coefficient, fCTDLFor CT
Secondary loop short circuit coefficient, fPTQXFor PT secondary circuit phase shortage coefficients, fPTDLFor PT secondary loop short circuit coefficients, n is more than for coefficient
1 number, S are step-length；
43) according to initial health index HI1With comprehensive correction factor fCOMEstablish metering device secondary circuit postitallation evaluation
Mathematical modeling is：
HI=HI1×fCOM；
3) according to the mathematical modeling of the Electric Energy Tariff Point Metering Device postitallation evaluation of foundation, Electric Energy Tariff Point Metering Device is run
Running status grade evaluation is carried out, establishes energy metering plant running appraisement system, body is evaluated according to energy metering plant running
The operation trend of system's prediction Electric Energy Tariff Point Metering Device simultaneously carries out early warning.
Running status grade classification detailed rules and regulations：
Grade classification detailed rules and regulations are according to evaluation claim, with reference to the concrete operations requirement in code, and more reliable scene
Operating experience, divided.Cook up the Operation class of electric power meter.
Electric energy metrical is filled with scope residing for directly affecting the important parameter (fi) of equipment state according to health index (HI)
The state grade put is divided into 5 grades, as shown in table 1 below：
Table 1 evaluates state grade division table
Citing is evaluated to the subitem of electric energy meter below：
It is when the year before last health index is distributed as shown in table 2.
The electric energy meter current health index of table 2
| Device numbering | Electric energy tariff point | Date of putting into operation | Run the time limit | Comprehensive correction factor | Final HI |
| 1 | Mortise combustion 4172 | 2011-11-8 | 2 | 1.00 | 0.91 |
| 2 | High bridge 460 | 2009-6-3 | 4 | 1.00 | 2.00 |
| 3 | First | 2011-11-8 | 2 | 1.30 | 3.90 |
| 4 | Second | 2011-11-8 | 2 | 1.50 | 5.25 |
| 5 | Third | 2011-11-8 | 2 | 1.60 | 6.40 |
| 6 | Fourth | 2011-11-8 | 2 | 1.65 | 7.43 |
The health index distribution situation of each electric energy meter as we can see from the figure.It can be seen that, this is several from basic data
The time of putting into operation of platform equipment is all shorter, and influence its health index is each important parameter.
The equipment that health index is between 7-8 is fourth, and its date of putting into operation is 2011, runs for two years at present,
But be present the problem of bright overproof error, control signal output failure, alarm lamp, button malfunction and binding post damage in it, make
It is higher to obtain comprehensive correction factor, so as to cause high health index.
The equipment that health index is between 6-7 is third, and its date of putting into operation is 2011, runs for two years at present,
But there is the problem of overproof error, control signal output failure, alarm lamp is bright in it so that its comprehensive correction factor is higher, from
And cause health index higher.
The equipment that health index is between 5-6 is second, and its date of putting into operation is 2011, runs for two years at present,
But there is the problem of error is overproof in it so that its comprehensive correction factor is also higher, so as to cause health index higher.
The equipment that health index is between 3-4 is first, and its date of putting into operation is 2011, runs for two years at present,
Its error is in critical value, therefore health index is relatively low.
Equipment of the health index less than 2 is respectively mortise combustion 4172 and high bridge 460, its date of putting into operation be respectively 2011 and
2009,2 years and 4 years have been separately operable it.Because its running status is good, therefore health index is relatively low.
The equipment that time limit is changed is fourth, and its health index is more than 7.
The equipment of on-site maintenance is respectively third and second.Third health index is more than 5.5, and important parameter be present and be in shape
In 2 grades of state grade, therefore its evaluation result is in 2 grades, i.e. on-site maintenance.And although second health index is less than 5.5, it is deposited
2 grades are in the state grade of important parameter, therefore its evaluation result is also at 2 grades, i.e. on-site maintenance.
It is continuing with, the equipment of notice manufacturer/consumer attention is first.
Continue to run with, reduce the inspection time in week fires 4172 and high bridge 460 for mortise.
Certainly, if there is problem of management, then its corresponding result will also be enumerated in a model, such as
Shown in table 3.
Problem before the electric energy meter of table 3 puts into operation
Before electric energy meter puts into operation in problem, if there is electric energy meter class of accuracy configuration it is unqualified if, then need
Its grade of errors is considered again, and it is as shown in table 4 then to make corresponding result.
Issue handling result before the electric energy meter of table 4 puts into operation
Electric Energy Tariff Point Metering Device postitallation evaluation system and remote condition monitoring project study are that a theory and technology are tight
The invention of close combination, postitallation evaluation system specify Electric Energy Tariff Point Metering Device evaluation detailed rules and regulations, and its realization must be by means of long-range
Condition Monitoring Technology means.
The evaluation of running status system of electric power meter is by two big portion of system platform software and live on-line monitoring system
It is grouped into, the data that system platform software foundation electric power meter evaluation detailed rules and regulations gather to live on-line monitoring system are to electric energy
Metering device is evaluated, and both complement each other, indispensable.
System platform is established by the operations control center in electric energy measurement center, remotely existed in the installation of each electric energy tariff point
Line monitoring system, gather the parameters of monitored electric power meter in real time by on-line monitoring system, by Ethernet or
The data that wireless communication mode collects remote supervision system are transmitted back to system platform.
The present invention establishes the effective metering device postitallation evaluation system of a set of science, to the operating electricity in scene
Can the real-time electricity consumption data such as table, transformer and secondary load, secondary voltage drop, active power, reactive power, power factor, phase
Measurement and evaluation, be provided simultaneously with analysis judge and warning function, for targetedly, predictably carry out technology it is counter arrange provide ginseng
Examine foundation.
Appraisement system achievement includes：The totality of Electric Energy Tariff Point Metering Device postitallation evaluation system and remote condition monitoring scheme
Scheme, Electric Energy Tariff Point Metering Device evaluation detailed rules and regulations etc..
The present invention forms energy metering appraisal standards of company level, has studied and defined a series of technical schemes, ensures critical point
Metering device runs qualification rate, forms metering appraisal standards of company level, including：Form Electric Energy Tariff Point Metering Device of company level
Postitallation evaluation standard, communication port construction scheme, state monitoring apparatus technical scheme, state monitoring apparatus are checked and accepted, installed, O＆M
With technology is counter arranges embodiment etc., 184 online Electric Energy Tariff Point Metering Devices and large users in the range of District of Shanghai are built in covering
Electric power meter, and reserved extension.
The main object of the present invention is electric power meter, is met from metering method, measuring equipment configuration, the condition of putting into operation
Property, electric energy meter operation conditions, transformer operation conditions, secondary circuit situation etc. research state evaluation thinking ways, collection basis
Data, service data, data etc. are safeguarded, so as to establish state grade division detailed rules and regulations, propose adjunct decision management theory.
Utilize the present invention, it is possible to achieve it is accurate, timely to grasp Electric Energy Tariff Point Metering Device running status, can be targeted
Ground timely and effectively analyze and handle.Under conditions of Electric Energy Tariff Point Metering Device postitallation evaluation system is done step-by-step, close
The rotational cycle that reason extends metering device is feasible, and necessary, and the expense saved, can be according under Guo Wang companies
The electric power meter typical design requirements reached, for improving the configuration level of metering device, are more of practical significance.
The postitallation evaluation directive/guide for the Electric Energy Tariff Point Metering Device that the present invention can be used in shape cost centre, further shape
Guide Book is performed into standardization.By application of result and it is generalized to all Electric Energy Tariff Point Metering Devices covered, Landfill covering
It is related to critical point, the electric power meter of large user.
Claims (1)
1. a kind of evaluation method of Electric Energy Tariff Point Metering Device running status, it is characterised in that comprise the following steps：
1) by the initial data of long-distance metering device on-line monitoring system collection site Electric Energy Tariff Point Metering Device, and will be original
Data are uploaded in the data server of upper PC；
2) upper PC is classified to initial data, and according to sorted initial data, establishes Electric Energy Tariff Point Metering Device
The mathematical modeling of postitallation evaluation, the mathematical modeling of Electric Energy Tariff Point Metering Device postitallation evaluation include the mathematics of electric energy meter postitallation evaluation
Model, the mathematical modeling of current transformer postitallation evaluation, the mathematical modeling of voltage transformer postitallation evaluation and metering device are secondary
The mathematical modeling of loop postitallation evaluation,
The foundation of the mathematical modeling of described electric energy meter postitallation evaluation specifically includes following steps：
11) the initial health index HI of electric energy meter operation is obtained1, the initial health index HI of electric energy meter operation1Calculating formula be：
B=B0×fAE×fDE
Wherein, HI0For the initial health index of brand-new electric energy meter, HI10For theoretical aging health index, B is actual aging constant,
Δ T is that electric energy meter runs the time limit, T2To assess time, T1For electric energy meter date of putting into operation, T10For the electric energy meter date of production, B0For reason
By aging constant, T0For the design service life of electric energy meter, fAEFor electric energy meter installation environment coefficient, fDEFor operation of power networks environment system
Number, fSWDFor humiture coefficient, fDCGRFor interference of electromagnetic field coefficient, fKLWFor particle concentration coefficient, fFHXZFor load character system
Number, fYXDYFor working voltage coefficient, fPLBDFor frequency fluctuation coefficient, fXBFor harmonic constant, fHZPLTo switch combined floodgate coefficient of frequency,
fFHBHFor diversity factor, fJDFDFor static discharge coefficient, fLJFor the coefficient that is struck by lightning, n is the number that coefficient is more than 1, and S is step
It is long；
12) the comprehensive correction factor f of electric energy meter operation is obtainedCOM, described comprehensive correction factor fCOMCalculating formula be：
Wherein, fKKFor coefficient of reliability, fLSGZCoefficient, f are recorded for historical failureF1For electric energy meter button coefficient, fF2Carried on the back for table screen
Scape modulation factor, fF3For remote communication module coefficient, fYXBCTo run coefficient of variation, fJLXNFor metering performance coefficient, fWCFor error
Coefficient, fQDFor electric energy meter shunt running coefficient, fBQDFor the not startup coefficient of electric energy meter under underload, fTZStop to walk coefficient, f for electric energy meterYQJ
For component coefficient, fCLDYFor electric energy meter processing unit coefficient, fNBRJFor in house software coefficient, fBDDFor memory cell table bottom degree system
Number, fCCDLFor memory cell storing electricity coefficient, fJDQFor control unit relay coefficient, fKXSCIt is defeated for control unit control signal
Go out coefficient, fSCFor output factor, fDCGZBattery failures coefficient, f are shown for liquid crystal displayBIDFor modulation factor of alarming, fTXGZFor communication event
Hinder coefficient, fHEIPTo show blank screen coefficient, fHUAPFor display flower screen coefficient, fLMTo show mess code coefficient, fCHXXShow for display rainbow
As coefficient, fCXTWTo show discontinuously display image retention and hangover coefficient, fLYTo show leakage coefficient, fLEDCoefficient is shown for indicator lamp,
fWGFor outward appearance coefficient, fBKFor watchcase coefficient, fAJFor button coefficient, fMPFor nameplate coefficient, fFYFor seal coefficient, fJXDZFor wiring
Terminal coefficient, fYJFor liquid crystal coefficient, fQTGZFor other failure coefficients, fSJCFor time difference coefficient, fSDZHFor period conversion coefficient,
fRNZHFor leap year conversion coefficient, fSBTo burn table coefficient, fDCFor battery coefficient, n is the number that coefficient is more than 1, and S is step-length；
13) according to initial health index HI1With comprehensive correction factor fCOMThe mathematical modeling for establishing electric energy meter postitallation evaluation is：
HI=max (HI1,HIi)×fCOM
3) according to the mathematical modeling of the Electric Energy Tariff Point Metering Device postitallation evaluation of foundation, Electric Energy Tariff Point Metering Device is run and carried out
Running status grade is evaluated, and establishes energy metering plant running appraisement system, pre- according to energy metering plant running appraisement system
Survey the operation trend of Electric Energy Tariff Point Metering Device and carry out early warning；
The foundation of the mathematical modeling of described current transformer postitallation evaluation specifically includes following steps：
21) the initial health index HI of current transformer operation is obtained1, the initial health index HI of current transformer operation1Meter
Formula is：
B=B0×fAE×fDE
Wherein, HI0For the initial health index of brand-new current transformer, HI10For theoretical aging health index, B is actual aging
Constant, Δ T are that current transformer runs the time limit, T2To assess time, T1For current transformer date of putting into operation, T10For Current Mutual Inductance
The device date of production, B0For theoretical aging constant, T0For the design service life of current transformer, fAEFor current transformer mounting ring
Border coefficient, fDEFor operation of power networks environmental coefficient, fSWDFor humiture coefficient, fDCGRFor interference of electromagnetic field coefficient, fKLWFor particulate matter
Concentration factor, fFHXZFor load character coefficient, fYXDYFor working voltage coefficient, fPLBDFor frequency fluctuation coefficient, fXBFor harmonic series
Number, fHZPLTo switch combined floodgate coefficient of frequency, fFHBHFor diversity factor, fJDFDFor static discharge coefficient, fLJFor the coefficient that is struck by lightning, n
It is more than 1 number for coefficient, S is step-length；
22) the comprehensive correction factor f of current transformer operation is obtainedCOM, comprehensive correction factor fCOMCalculating formula be：
fWJY=max (fWJY1,fWJY2)+(n-1)·S
Wherein, fKKFor coefficient of reliability, fYXBCTo run coefficient of variation, fYXZJFor operation week inspection actual measurement value coefficient, fYXGKFor operation
Application factor, fGLYSFor power factor coefficient, fYCSXFor abnormal noise coefficient, fSCYXCoefficient, f are influenceed for remanent magnetismGYLDLLeaked for high pressure
Electric current influences coefficient, fMFTo seal property coefficient, fWJYFor external insulation coefficient, fWJY1For external insulation antifouling work level error coefficient, fWJY2
For body external insulation surface condition coefficient, fBTWSFor bulk temperature rising coefficient, fDZWSFor connection terminal and drainage thread temperature rise coefficient, fWG
For outward appearance coefficient, fWGPFor expander coefficient, fWGDFor base coefficient, fWGEFor secondary terminal box coefficient, fWGYFor drainage thread coefficient,
fWGJFor down conductor coefficient, fQTYLFor SF6Gas pressure coefficient, fJYDZFor winding insulation resistance coefficient, fJZSHFor major insulation
Medium consumption factor coefficient, fZDRLFor main insulated electro capacity coefficient, fMPJYFor end shield insulating coefficient, fYSPFor oil colours spectral coefficient,
fJBFDFor shelf depreciation coefficient, fWSHLFor SF6Gas micro water content coefficient, n are the number that coefficient is more than 1, and S is step-length；
23) according to initial health index HI1With comprehensive correction factor fCOMThe mathematical modeling for establishing current transformer postitallation evaluation is：
HI=max (HI1,HIi)×fCOM
The foundation of the mathematical modeling of described voltage transformer postitallation evaluation specifically includes following steps：
31) the initial health index HI of voltage transformer operation is obtained1, the initial health index HI of voltage transformer operation1Meter
Formula is：
B=B0×fAE×fDE
Wherein, HI0For the initial health index of brand-new voltage transformer, HI10For theoretical aging health index, B is actual aging
Constant, Δ T are that voltage transformer runs the time limit, T2To assess time, T1For voltage transformer date of putting into operation, T10For mutual induction of voltage
The device date of production, B0For theoretical aging constant, T0For the design service life of voltage transformer, fAEFor voltage transformer mounting ring
Border coefficient, fDEFor operation of power networks environmental coefficient, fSWDFor humiture coefficient, fDCGRFor interference of electromagnetic field coefficient, fKLWFor particulate matter
Concentration factor, fFHXZFor load character coefficient, fYXDYFor working voltage coefficient, fPLBDFor frequency fluctuation coefficient, fXBFor harmonic series
Number, fHZPLTo switch combined floodgate coefficient of frequency, fFHBHFor diversity factor, fJDFDFor static discharge coefficient, fLJFor the coefficient that is struck by lightning, n
It is more than 1 number for coefficient, S is step-length；
32) the comprehensive correction factor f of voltage transformer operation is obtainedCOM, comprehensive correction factor fCOMCalculating formula be：
fWJY=max (fWJY1,fWJY2)+(n-1)·S
Wherein, fKKFor coefficient of reliability, fYXBCTo run coefficient of variation, fYXZJFor operation week inspection actual measurement value coefficient, fYXGKFor operation
Application factor, fGLYSFor power factor coefficient, fYCSXFor abnormal noise coefficient, fMFTo seal property coefficient, fWJYFor external insulation system
Number, fWJY1For external insulation antifouling work level error coefficient, fWJY2For body external insulation surface condition coefficient, fBTWSFor bulk temperature rising system
Number, fDZWSFor connection terminal and drainage thread temperature rise coefficient, fWGFor outward appearance coefficient, fWGPFor expander coefficient, fWGDFor base coefficient,
fWGEFor secondary terminal box coefficient, fWGYFor drainage thread coefficient, fWGJFor down conductor coefficient, fJJDZFor capacitor electrode insulation
Resistance, fZJBYQFor intermediate transformer secondary winding insulaion resistance coefficient, fFYQJSFor capacitive divider medium consumption factor coefficient,
fDRLFor capacitive divider electric capacity coefficient of discharge, fQTYLFor SF6Gas pressure coefficient, fJYDZFor winding insulation resistance coefficient, fJZSHFor
Winding insulation medium consumption factor coefficient, fZJJSFor support insulation dissipation factor, fYSPFor oil colours spectral coefficient, fJBFDFor part
Discharge coefficient, fWSHLFor SF6Gas micro water content coefficient, n are the number that coefficient is more than 1, and S is step-length；
33) according to initial health index HI1With comprehensive correction factor fCOMThe mathematical modeling for establishing voltage transformer postitallation evaluation is：
HI=max (HI1,HIi)×fCOM
The foundation of the mathematical modeling of described metering device secondary circuit postitallation evaluation specifically includes following steps：
41) the initial health index HI of metering device secondary circuit operation is obtained1, what metering device secondary circuit was run is initially good for
Health index HI1Calculating formula be：
HI1=max (HIDL,HIPTYJ,HIPTFH,HICTFH)
B=B0×fAE×fDE
Wherein, HIPTYJFor PT secondary voltage drop initial health indexes, HIPTFHFor PT secondary load initial health indexes, HICTFHFor CT
Secondary load initial health index, HIDLFor cable initial health index, HI0For the initial strong of brand-new metering device secondary circuit
Health index, B are actual aging constant, and Δ T is that metering device secondary circuit runs the time limit, T2To assess time, T1For metering device
Secondary circuit date of putting into operation, B0For theoretical aging constant, T0For the design service life of metering device secondary circuit, fAEFor metering
Device secondary circuit installation environment coefficient, fDEFor operation of power networks environmental coefficient, fSWDFor humiture coefficient, fDCGRDone for electromagnetic field
Disturb coefficient, fKLWFor particle concentration coefficient, fFHXZFor load character coefficient, fYXDYFor working voltage coefficient, fPLBDFor frequency wave
Dynamic coefficient, fXBFor harmonic constant, fHZPLTo switch combined floodgate coefficient of frequency, fFHBHFor diversity factor, fJDFDFor static discharge system
Number, fLJFor the coefficient that is struck by lightning, n is the number that coefficient is more than 1, and S is step-length；
42) the comprehensive correction factor f of metering device secondary circuit operation is obtainedCOM, comprehensive correction factor fCOMCalculating formula be：
Wherein, fPTYJValue coefficient, f are surveyed for PT secondary voltage drops errorPTFHValue coefficient, f are surveyed for PT secondary loadsCTFHFor CT bis-
Secondary load measurement value coefficient, fZHWCFor metering device composition error, fCTKLFor CT secondary circuits open circuit coefficient, fCTDLFor CT bis- times
Loop short cut factor, fPTQXFor PT secondary circuit phase shortage coefficients, fPTDLFor PT secondary loop short circuit coefficients, n is coefficient more than 1
Number, S are step-length；
43) according to initial health index HI1With comprehensive correction factor fCOMEstablish the mathematics of metering device secondary circuit postitallation evaluation
Model is：
HI=HI1×fCOM。
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102914761A (en) * | 2012-11-14 | 2013-02-06 | 浙江省电力公司电力科学研究院 | System and method for monitoring quality of intelligent electric energy meter |
| CN203149108U (en) * | 2013-01-08 | 2013-08-21 | 上海市电力公司 | Single-phase intelligent electric energy meter collector compatible-type automation verification system |
| EP2720063A1 (en) * | 2012-10-12 | 2014-04-16 | ALSTOM Transport SA | Automatic calibration of energy meter central unit |
| CN104267373A (en) * | 2014-10-17 | 2015-01-07 | 成都思晗科技有限公司 | Gateway meter assessment device |
| CN104597426A (en) * | 2014-12-17 | 2015-05-06 | 浙江涵普电力科技有限公司 | Remote online monitoring method of energy measurement device |
| CN104678348A (en) * | 2012-10-29 | 2015-06-03 | 江苏省电力公司常州供电公司 | Remote monitoring and diagnosing method for electric energy metering device with high efficiency |
-
2015
- 2015-06-15 CN CN201510331287.0A patent/CN104880691B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2720063A1 (en) * | 2012-10-12 | 2014-04-16 | ALSTOM Transport SA | Automatic calibration of energy meter central unit |
| CN104678348A (en) * | 2012-10-29 | 2015-06-03 | 江苏省电力公司常州供电公司 | Remote monitoring and diagnosing method for electric energy metering device with high efficiency |
| CN102914761A (en) * | 2012-11-14 | 2013-02-06 | 浙江省电力公司电力科学研究院 | System and method for monitoring quality of intelligent electric energy meter |
| CN203149108U (en) * | 2013-01-08 | 2013-08-21 | 上海市电力公司 | Single-phase intelligent electric energy meter collector compatible-type automation verification system |
| CN104267373A (en) * | 2014-10-17 | 2015-01-07 | 成都思晗科技有限公司 | Gateway meter assessment device |
| CN104597426A (en) * | 2014-12-17 | 2015-05-06 | 浙江涵普电力科技有限公司 | Remote online monitoring method of energy measurement device |
Non-Patent Citations (1)
| Title |
|---|
| 电能计量装置运行评价方法研究;黄俐萍，王卉，杜卫华;《华东电力》;20141124;第42卷(第11期);第2322页第1-3段，第2324页第3部分第1段-2326页第5部分最后一段 * |
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