CN106842101A - A kind of evaluation method of electric energy meter running status - Google Patents
A kind of evaluation method of electric energy meter running status Download PDFInfo
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- CN106842101A CN106842101A CN201510881666.7A CN201510881666A CN106842101A CN 106842101 A CN106842101 A CN 106842101A CN 201510881666 A CN201510881666 A CN 201510881666A CN 106842101 A CN106842101 A CN 106842101A
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Abstract
The present invention relates to a kind of evaluation method of electric energy meter running status, comprise the following steps：Set up the evaluation of running status model of electric energy meter；The factor of influence electric energy meter running status is chosen as quantity of state；Functional unit division is carried out to the quantity of state according to the influence type to electric energy meter running status；Quantity of state Rating Model is set up according to the characteristics of the quantity of state and evaluation content is determined；Calculate the evaluation score value of different conditions amount respectively according to Rating Model and evaluation content；Calculate the overall merit score value of electric energy meter running status；Set up the association relation model that electric energy meter comprehensive evaluates the fault rate of score value and electric energy meter.Technical solution of the present invention solves the reasonable assessment of metering state in electric energy meter operation and correct evaluation problem.
Description
Technical field
The present invention relates to instrument field, a kind of evaluation method of electric energy meter running status is more particularly to.
Background technology
As the electric energy meter of legal measurement instrument, the quality and efficiency accurate, that be related to charge calculation between Utilities Electric Co. and client in time of measurement, storage and the transformation task of the important informations such as voltage, electric current, electric flux, electric energy metrical and information transfer are carry.The operation electric energy meter larger for millions of metering electricity, typically all monitors its running status by the way of regular field test at present.Traffic and manpower aspect input amount are huge, it is difficult to meet the management orientation that current enterprise cuts payroll to improve efficiency.Meanwhile, with scientific and technological progress and the raising of product quality, the live operation troubles rate of electric energy meter is more and more lower, and frequently field test lacks practical significance.
Therefore a kind of evaluation method of electric energy meter running status is proposed, to solve above-mentioned technical problem.
The content of the invention
It is an object of the invention to provide a kind of evaluation method of electric energy meter running status, the reasonable assessment of metering state in electric energy meter operation and correct evaluation problem are solved.
To achieve the above object, the present invention uses following technical scheme：A kind of evaluation method of electric energy meter running status, comprises the following steps：
Set up the evaluation of running status model of electric energy meter；
The factor of influence electric energy meter running status is chosen as quantity of state；
Functional unit division is carried out to the quantity of state according to the influence type to electric energy meter running status；
Quantity of state Rating Model is set up according to the characteristics of the quantity of state and evaluation content is determined；
Calculate the evaluation score value of different conditions amount respectively according to Rating Model and evaluation content；
Calculate the overall merit score value of electric energy meter running status；
Set up the association relation model that electric energy meter comprehensive evaluates the fault rate of score value and electric energy meter.
The quantity of state includes the elementary error S of electric energy meter1, kinematic error S2, error diffusion S3, return of goods rate S4, operation troubles rate S5, run time S6, family defect S7, on-line monitoring electricity exception S8, on-line monitoring clock exception S9With user's prestige S10。
The functional unit includes base unit, detection unit, monitoring unit and family's defective unit.
Calculate basic score B, detection scoring T, monitoring scoring M and family defect scoring F respectively according to different function units, and finally draw the overall merit score value G=BTMF of electric energy meter running status.
The base unit scoring B is according to including return of goods rate S4, error diffusion S3, operation troubles rate S5, elementary error S1, run time S6With user's prestige S10It is determined that；Basic scoreBiBased on each quantity of state scoring in unit scoring.
The return of goods rate S4Determined by following formula (1), return of goods rate S4Rating Model B1Determined by following formula (2)：
B1=10 × (1-S4) (2)
The error diffusion S3It is calculated by standard deviation algorithm, error diffusion S3Rating Model B2Determined by following formula (4)：
Wherein, N is the electric energy meter quantity for being evaluated the affiliated batch of electric energy meter, xiTo be evaluated the elementary error numerical value of electric energy meter i-th electric energy meter of affiliated batch,To be evaluated the average value of the electric energy meter all Basic Error of Energy Meter of affiliated batch；
The operation troubles rate S5Determined by following formula (5), operation troubles rate S5Rating Model B3Determined by following formula (6)：
B3=20 × (1-S5) (6)
The elementary error S1It is calculated by the laboratory verification error amount for choosing 3 load points in electric energy meter actual moving process, the load point is as follows：
(1)Un, In,Error amount S1-1；
(2) 0.2S grades and 0.5S grades takes Un, 0.02In,Error amount,
1 grade and 2 grades takes Un, 0.05In,Error amount S1-2；
(3)Un, Imax,Error amount S1-3；
Wherein, UnTo be evaluated the rated operational voltage of electric energy meter, InTo be evaluated the rated operational current of electric energy meter,The phase difference of voltage, electric current during to be evaluated electric energy meter working condition；
Elementary error S1Rating Model B4Determined by following formula (7)：
The run time S6Refer to the operation year of electric energy meter；Run time S6Rating Model B5Determined by following formula (8)：
B5=20-2.5 × S6 (8)
User's prestige S10Refer to that the metering user of electric energy meter whether there is stealing and unusual fluctuation and the behavior of destruction electric energy meter in electricity consumption history；User's prestige S10Rating Model B6Determined by following formula (9)：The behavior for not crossing the destruction electric energy meter such as stealing in user, then B there is in nearly 1 year6=0；Otherwise B6=10.
The quantity of state kinematic error S of the kinematic error characteristic according to reflection electric energy meter2Detection unit scoring T is set；The kinematic error S2Numerical value by field test obtain, detection unit scoring its Rating Model of T by following formula (10) determination：
Wherein：
Electricity exception S is monitored on-line according to quantity of state8With on-line monitoring clock exception S9Determine monitoring function scoring M；The on-line monitoring electricity exception S8The real electricity exception that On-Line Monitoring Information System finds in evaluation cycle；The on-line monitoring clock exception S9The quantity of the clock anomalous event that On-Line Monitoring Information System finds in evaluation cycle；The on-line monitoring electricity exception S8With on-line monitoring clock exception S9Numerical value by On-Line Monitoring Information System count obtain：Monitoring Rating Model is determined by following formula (11)：
M=M8×M9 (11)
Wherein,M8i=80%
M9i=95%.
According to quantity of state family defect S7Determine family defect function score F, its Rating Model is determined by following formula (12)：
Wherein, n is the electric energy meter quantity (N ＞ n >=1) that this family defect occurs, and N is family's electric energy meter total quantity；S7Value it is as follows：
When having an impact to electric energy meter control function, S7It is 86%~100%；
When having an impact to clock of power meter function, S7It is 51%~85%；
When being shown to electric energy meter, when communication function has an impact, S7It is 16%~50%；
When being measured to electric energy meter, when storage performance has an impact, S7It is 0~15%.
The association relation model that the electric energy meter comprehensive evaluates the fault rate of score value and electric energy meter is set up according to the relation of electronic product reliability and fault rate：The electronic product reliability is determined with the relation of fault rate by following formula (13)：
Wherein, λ is fault rate, and R is reliability, and t is certain following time point；
λ (t) is considered as constant in several days of short time Δ t, show that the short-term reliability in the Δ t times is according to formula (13)：
R (t)=e- λΔ t (14)
When electric energy table status degenerate, the exponentially rule change of its fault rate, therefore, when electric energy meter overall evaluation score value is G, its fault rate is：
λ=Ke-CG (15)
When the comprehensive state score value of electric energy meter is G, the short-term reliability in the Δ t times is：
K is that proportionality coefficient and C are coefficient of curvature, is calculated by sample statistics.
The association relation model of the fault rate of score value and electric energy meter is evaluated according to electric energy meter comprehensive, set up the corresponding relation of state evaluation fraction and fault rate, needed with reference to actual management, the running status of electric energy meter is divided into stabilization, normal and three kinds of early warning, different round of visits are performed according to this.
With immediate prior art ratio, the present invention provides technical scheme has following excellent effect
1st, technical solution of the present invention rationally make use of the monitoring method and means of existing information system ripe application, by the data analysis of the quantity of states such as the historical data to electric energy meter, related information, the mathematical statistics method of applied science, carries out accurate evaluation electric energy meter running status；
2nd, technical solution of the present invention application helps to carry out the field test of cycle dynamicses, reduces the operation expense of electric energy meter, reduces traffic and job safety risk；
3rd, technical solution of the present invention can ensure that the metering performance stabilization of electric energy meter and continue controlled, raising equipment quality and operational reliability；
4th, technical solution of the present invention causes that the measurement of electric energy meter is more accurate, improves operating efficiency.
Brief description of the drawings
Fig. 1 is present invention method block diagram.
Specific embodiment
With reference to Fig. 1 and embodiment, the invention will be described in further detail.
Embodiment：
The present invention provides a kind of evaluation method of electric energy meter running status, can carry out overall merit to the running status of electric energy meter by the Multiple factors such as elementary error, kinematic error, error diffusion, return of goods rate, operation troubles rate, run time and environment, family's defect, abnormal on-line monitoring electricity, on-line monitoring clock exception, user's prestige.
Methods described includes：The evaluation of running status model of electric energy meter is set up, the elementary error S of electric energy meter is chosen1, kinematic error S2, error diffusion S3, return of goods rate S4, operation troubles rate S5, run time S6, family defect S7, on-line monitoring electricity exception S8, on-line monitoring clock exception S9, user's prestige S10The factor of electric energy meter running status may be influenceed as quantity of state Deng multiple.Functional unit division, including base unit, detection unit, monitoring unit and family's defective unit are carried out to quantity of state according to the influence type to electric energy meter running status.Quantity of state Rating Model is set up for quantity of state feature and determine evaluation content, can reflect the associated performance attributes of electric energy meter running status.Calculate the evaluation score value of different conditions amount respectively according to Rating Model and evaluation content input value, calculate basic score B, detection scoring T, monitoring scoring M and family defect scoring F respectively according to different function units, then calculate the overall merit score value G=BTMF of electric energy meter running status.Finally establish fault rate and the incidence relation computation model of reliability index that electric energy meter comprehensive evaluates score value and electric energy meter.
The quantity of state of the mass of foundation level of selection reflection electric energy meter sets base unit scoring B, including return of goods rate S4, error diffusion S3, operation troubles rate S5, elementary error S1, run time S6With user's prestige S10Etc. parameter, each quantity of state scoring summation is 100 points.Each quantity of state scoring B in basic scoreiCalculation see the table below, basic score
Wherein：
1. return of goods rate S4Refer to the return of goods situation that same manufacturer occurs due to quality problems, return of goods rate height can reflect this batch of a certain degree of mass of foundation level of electric energy meter just.S4Computational methods see formula (1), return of goods rate S4Rating Model B1See formula (2)：
B1=10 × (1-S4) (2)
2. error diffusion S3Refer to same supply of material batch electric energy meter in rated load point, the overall dispersiveness of laboratory verification error when power factor is 1.0, the distribution situation of the error amount can reflect the process consistency and quality level of the batch electric energy meter just.S3Numerical value be calculated by standard deviation algorithm, see formula (3), error diffusion S3Rating Model B2See formula (4).
3. operation troubles rate S5Refer to same receipt lot electric energy meter operation troubles rate, computational methods are shown in formula (5), operation troubles rate S5Computational methods see formula (5), operation troubles rate S5Rating Model B3See formula (6).
B3=20 × (1-S5) (6)
4. elementary error S1Refer to error amount of the electric energy meter when laboratory examines and determine, the laboratory verification error amount for choosing most representational 3 load points in electric energy meter actual moving process is calculated, and specific load point is as follows：
(1)Un, In,Error amount S1-1；
(2) 0.2S grades and 0.5S grades takes Un, 0.02In,Error amount,
1 grade and 2 grades takes Un, 0.05In,Error amount S1-2；
(3)Un, Imax,Error amount S1-3；
Elementary error S1Rating Model B4See formula (7).
5. run time S6Refer to the operation year of electric energy meter, with the change of run time, the aging aggravation of electronic component, will cause the reliability of electric energy meter reduces.Run time S6Rating Model B5See formula (8).
B5=20-2.5 × S6 (8)
6. user's prestige S10Refer to that the metering user of electric energy meter whether there is stealing and unusual fluctuation, the behavior of destruction electric energy meter in electricity consumption history.The behavior of the metering devices such as the artificial destruction electric energy meter of user can directly result in the reduction of electric energy meter running quality.User's prestige S10Rating Model B6See formula (9).
There is the behavior B that stealing etc. destroys electric energy meter in nearly 1 year in user6=0；Otherwise B6=10.(9)
The quantity of state kinematic error S of the kinematic error characteristic of selection reflection electric energy meter2Detection unit scoring T is set.Kinematic error S2Numerical value directly obtained by daily field test, detection unit scoring T its Rating Model is shown in formula (10).
Wherein：
It is selected to monitor the quantity of state on-line monitoring electricity exception S of electric energy meter operation exception8, on-line monitoring clock exception S9Represent monitoring function scoring M, on-line monitoring electricity exception S8, on-line monitoring clock exception S9Numerical value obtained by system statistics, refer to that the real electricity that On-Line Monitoring Information System in evaluation cycle finds is abnormal, the quantity of clock anomalous event respectively, monitoring Rating Model is shown in formula (11).
M=M8×M9 (11)
Wherein,M8i=80%
M9i=95%
It is selected to represent the quantity of state family defect S of electric energy meter familial defective effect size7Family defect function score F is represented, its Rating Model is shown in formula (12).
Wherein S7Value see the table below.
Establish the association relation model that electric energy meter is evaluated between state score and electrical energy meter fault rate.According to electronic product reliability and the classical relation formula (13) of fault rate,
Wherein λ is fault rate, and R is reliability.
λ (t) can be considered constant in short time Δ t, show that the short-term reliability in the Δ t times is according to formula (13)：
R (t)=e- λΔ t (14)
When electric energy table status degenerate, the general exponentially rule change of its fault rate, therefore, when electric energy meter overall evaluation score value is G, its fault rate is：
λ=Ke-CG (15)
Mutually should electric energy meter comprehensive state score value be G when, the short-term reliability in the Δ t times is：
Proportional coefficient K and coefficient of curvature C can be calculated by sample statistics.
According to electric energy meter comprehensive state score and the relation computation model of fault rate, set up the corresponding relation of state evaluation fraction and fault rate, needed with reference to actual management, the running status of electric energy meter can be divided into stabilization, normal, three kinds of early warning, different round of visits are performed according to this.
Finally it should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention rather than its limitations, and those of ordinary skill in the art with reference to above-described embodiment although should be understood：Specific embodiment of the invention can still be modified or equivalent, these are applying within pending claims of the invention without departing from any modification of spirit and scope of the invention or equivalent.
Claims (10)
1. a kind of evaluation method of electric energy meter running status, it is characterised in that：Comprise the following steps：
Set up the evaluation of running status model of electric energy meter；
The factor of influence electric energy meter running status is chosen as quantity of state；
Functional unit division is carried out to the quantity of state according to the influence type to electric energy meter running status；
Quantity of state Rating Model is set up according to the characteristics of the quantity of state and evaluation content is determined；
Calculate the evaluation score value of different conditions amount respectively according to Rating Model and evaluation content；
Calculate the overall merit score value of electric energy meter running status；
Set up the association relation model that electric energy meter comprehensive evaluates the fault rate of score value and electric energy meter.
2. a kind of evaluation method of electric energy meter running status as claimed in claim 1, it is characterised in that：The quantity of state includes the elementary error S of electric energy meter1, kinematic error S2, error diffusion S3, return of goods rate S4, operation troubles rate S5, run time S6, family defect S7, on-line monitoring electricity exception S8, on-line monitoring clock exception S9With user's prestige S10。
3. a kind of evaluation method of electric energy meter running status as claimed in claim 2, it is characterised in that：The functional unit includes base unit, detection unit, monitoring unit and family's defective unit.
4. a kind of evaluation method of electric energy meter running status as claimed in claim 3, it is characterised in that：Calculate basic score B, detection scoring T, monitoring scoring M and family defect scoring F respectively according to different function units, and finally draw the overall merit score value G=BTMF of electric energy meter running status.
5. a kind of evaluation method of electric energy meter running status as claimed in claim 4, it is characterised in that：The base unit scoring B is according to including return of goods rate S4, error diffusion S3, operation troubles rate S5, elementary error S1, run time S6With user's prestige S10It is determined that；Basic scoreBiBased on each quantity of state scoring in unit scoring.
6. a kind of evaluation method of electric energy meter running status as claimed in claim 5, it is characterised in that：The return of goods rate S4Determined by following formula (1), return of goods rate S4Rating Model B1Determined by following formula (2)：
B1=10 × (1-S4) (2)
The error diffusion S3It is calculated by standard deviation algorithm, error diffusion S3Rating Model B2Determined by following formula (4)：
Wherein, N is the electric energy meter quantity for being evaluated the affiliated batch of electric energy meter, xiTo be evaluated the elementary error numerical value of electric energy meter i-th electric energy meter of affiliated batch,To be evaluated the average value of the electric energy meter all Basic Error of Energy Meter of affiliated batch；
The operation troubles rate S5Determined by following formula (5), operation troubles rate S5Rating Model B3Determined by following formula (6)：
B3=20 × (1-S5) (6)
The elementary error S1It is calculated by the laboratory verification error amount for choosing 3 load points in electric energy meter actual moving process, the load point is as follows：
(1)Un, In,Error amount S1-1；
(2) 0.2.S grades and 0.5S grades takes Un, 0.02In,Error amount, 1 grade and 2 grades takes Un, 0.05In,Error amount S1-2；
(3)Un, Imax,Error amount S1-3；
Wherein, UnTo be evaluated the rated operational voltage of electric energy meter, InTo be evaluated the rated operational current of electric energy meter,The phase difference of voltage, electric current during to be evaluated electric energy meter working condition；
Elementary error S1Rating Model B4Determined by following formula (7)：
The run time S6Refer to the operation year of electric energy meter；Run time S6Rating Model B5Determined by following formula (8)：
B5=20-2.5 × S6 (8)
User's prestige S10Refer to that the metering user of electric energy meter whether there is stealing and unusual fluctuation and the behavior of destruction electric energy meter in electricity consumption history；User's prestige S10Rating Model B6Determined by following formula (9)：The behavior for not crossing the destruction electric energy meter such as stealing in user, then B there is in nearly 1 year6=0；Otherwise B6=10.
7. a kind of evaluation method of electric energy meter running status as claimed in claim 4, it is characterised in that：The quantity of state kinematic error S of the kinematic error characteristic according to reflection electric energy meter2Detection unit scoring T is set；The kinematic error S2Numerical value by field test obtain, detection unit scoring its Rating Model of T by following formula (10) determination：
Wherein：
8. a kind of evaluation method of electric energy meter running status as claimed in claim 4, it is characterised in that：Electricity exception S is monitored on-line according to quantity of state8With on-line monitoring clock exception S9Determine monitoring function scoring M；The on-line monitoring electricity exception S8The real electricity exception that On-Line Monitoring Information System finds in evaluation cycle；The on-line monitoring clock exception S9The quantity of the clock anomalous event that On-Line Monitoring Information System finds in evaluation cycle；The on-line monitoring electricity exception S8With on-line monitoring clock exception S9Numerical value by On-Line Monitoring Information System count obtain：Monitoring Rating Model is determined by following formula (11)：
M=M8×M9 (11)
Wherein,M8i=80%
M9i=95%
9. a kind of evaluation method of electric energy meter running status as claimed in claim 4, it is characterised in that：According to quantity of state family defect S7Determine family defect function score F, its Rating Model is determined by following formula (12)：
Wherein, n is the electric energy meter quantity that this family defect occurs, and N ＞ n >=1, N is family's electric energy meter total quantity；S7Value it is as follows：
When having an impact to electric energy meter control function, S7It is 86%~100%；
When having an impact to clock of power meter function, S7It is 51%~85%；
When being shown to electric energy meter, when communication function has an impact, S7It is 16%~50%；
When being measured to electric energy meter, when storage performance has an impact, S7It is 0~15%.
10. a kind of evaluation method of electric energy meter running status as claimed in claim 1, it is characterised in that：The association relation model that the electric energy meter comprehensive evaluates the fault rate of score value and electric energy meter is set up according to the relation of electronic product reliability and fault rate：The electronic product reliability is determined with the relation of fault rate by following formula (13)：
Wherein, λ is fault rate, and R is reliability, and t is certain following time point；
λ (t) is considered as constant in some days time Δ t, show that the short-term reliability in the Δ t times is according to formula (13)：
R (t)=e- λΔ t (14)
When electric energy table status degenerate, the exponentially rule change of its fault rate, therefore, when electric energy meter overall evaluation score value is G, its fault rate is：
λ=Ke-CG (15)
When the comprehensive state score value of electric energy meter is G, the short-term reliability in the Δ t times is：
K is that proportionality coefficient and C are coefficient of curvature, is calculated by sample statistics.
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