In-situ calibration method and system for an in-line verification device of an electric energy meter

Abstract

The present invention discloses an in-situ calibration method for an electric energy meter assembly line verification device, comprising: calibrating a plurality of electric energy meters of the same accuracy level, obtaining a first calibration result, and determining a deviation coefficient of each electric energy meter according to the first calibration result; selecting the electric energy meter according to the deviation coefficient and the first calibration result, and determining a first electric energy meter for assembly line calibration and a second electric energy meter for laboratory calibration; determining a significance level according to the first calibration results of the first electric energy meter and the second electric energy meter; calibrating the second electric energy meter after running according to a preset time threshold and a preset state using a laboratory electric energy standard device, and obtaining a second calibration result; in-situ calibrating the electric energy meter assembly line verification device using the first electric energy meter after running according to the preset time threshold and a preset state, and obtaining a third calibration result; and determining a measurement uncertainty corresponding to the third calibration result according to the second calibration result, the third calibration result and the significance level.

Description

Technical Field

[0001] The present invention relates to the technical field of electric energy metering, and more specifically, to an in-situ calibration method and system for an electric energy meter assembly line calibration device. Background Art

[0002] With the development of large-scale centralized calibration services for electric energy meters, the automatic calibration system for electric energy meters has been widely used in the power system of our country. The electric energy meter assembly line calibration device is an important device operating on the assembly line site for calibrating the metering performance of intelligent electric energy meters. The metering performance of the electric energy meter assembly line calibration device is related to whether the metering performance of the intelligent electric energy meter is accurate and reliable. Currently, the calibration method for the electric energy meter assembly line calibration device generally adopts on-site detection: the calibration personnel carry the standard device to the site, then interrupt the system operation, and calibrate each electric energy meter assembly line calibration device one by one using the standard meter method. This method reduces efficiency, affects the automatic operation of the system, and has a too long cycle. There is also a lack of reasonable and efficient calibration means for the electric energy meter assembly line calibration device. Summary of the Invention

[0003] The present invention provides an in-situ calibration method and system for an electric energy meter assembly line calibration device to solve the problem of how to achieve in-situ calibration of the electric energy meter assembly line calibration device.

[0004] To solve the above problems, according to one aspect of the present invention, an in-situ calibration method for an electric energy meter assembly line calibration device is provided. The method includes:

[0005] Calibrating multiple electric energy meters with the same accuracy level, obtaining a first calibration result, and determining the deviation coefficient of each electric energy meter according to the first calibration result;

[0006] Selecting electric energy meters according to the deviation coefficient and the first calibration result, and determining a first preset number of first electric energy meters for assembly line calibration and a second preset number of second electric energy meters for laboratory calibration;

[0007] Determining the significance level according to the first calibration results of the first electric energy meters and the second electric energy meters;

[0008] Calibrating the second electric energy meters that have run according to a preset time threshold and a preset state using a laboratory electric energy standard device to obtain a second calibration result;

[0009] Performing in-situ calibration of the electric energy meter assembly line calibration device using the first electric energy meters that have run according to the preset time threshold and the preset state to obtain a third calibration result;

[0010] Determining the measurement uncertainty corresponding to the third calibration result according to the second calibration result, the third calibration result, and the significance level.

[0011] Preferably, determining the deviation coefficient of each watt-hour meter according to the first calibration result includes:

[0012]

[0013]

[0014] where p z is the deviation coefficient of the z-th watt-hour meter, and y z (i) is the first calibration result of the z-th watt-hour meter at the i-th load point; y 0 (i) is the average value of the calibration results of the z watt-hour meters corresponding to the i-th load point; Z is the total number of watt-hour meters; I is the total number of load points.

[0015] Preferably, determining the significance level according to the first calibration results of the first watt-hour meter and the second watt-hour meter includes:

[0016]

[0017]

[0018]

[0019]

[0020] where α is the significance level; I is the total number of load points; α(i) is the significance level of the watt-hour meter at the i-th load point; is the average value of the first calibration results of the first watt-hour meter at the i-th load point; is the average value of the first calibration results of the second watt-hour meter at the i-th load point; M is the first preset quantity; N is the second preset quantity; y M (i) is the first calibration result of the M-th watt-hour meter at the i-th load point; y N (i) is the first calibration result of the N-th watt-hour meter at the i-th load point.

[0021] Preferably, determining the measurement uncertainty corresponding to the third calibration result according to the second calibration result, the third calibration result and the significance level includes:

[0022] Determining the average value of the second calibration result according to the second calibration result;

[0023] Determining the first measurement standard uncertainty according to the significance level;

[0024] Determining the measurement uncertainty corresponding to the third calibration result according to the third calibration result, the average value of the second calibration result and the first measurement standard uncertainty.

[0025] Preferably, determining the mean value of the second calibration result according to the second calibration result includes:

[0026]

[0027] where is the mean value of the second calibration results of N second watt-hour meters at the i-th load point; y N ′(i) is the second calibration result of the N-th second watt-hour meter at the i-th load point.

[0028] Preferably, determining the first measurement standard uncertainty according to the significance level includes:

[0029]

[0030]

[0031] where u l is the first measurement standard uncertainty; u n is the measurement standard uncertainty of the n-th second watt-hour meter, 0 ≤ n ≤ N; N is the total number of second watt-hour meters; is the average value of the standard uncertainties of N second watt-hour meters. Preferably, determining the measurement uncertainty corresponding to the third calibration result according to the third calibration result, the mean value of the second calibration result, and the first measurement standard uncertainty includes:

[0032]

[0033] u 1 = u l / μ,

[0034]

[0035]

[0036]

[0037] where y is the third calibration result; y j ” is the mean value of the measurement results corresponding to the j-th time at the i-th load point; u std is the measurement standard uncertainty corresponding to the third calibration result; u 1 is the uncertainty introduced by the first watt-hour meter; u 2 is the uncertainty introduced by the maximum allowable error E; u 3 is the uncertainty introduced by measurement repeatability; μ is the distribution factor when the confidence interval is 1 - α and conforms to the normal distribution; α is the significance level; u lis the first measurement standard uncertainty; is the mean of the second calibration results of N second electric energy meters at the i-th load point.

[0038] Preferably, the method further includes:

[0039] Using the 3σ criterion to eliminate outliers in the mean of the j-th measurement result corresponding to the i-th load point.

[0040] According to another aspect of the present invention, there is provided an in-situ calibration system for an electric energy meter pipeline verification device, the system includes:

[0041] A deviation coefficient determination unit for calibrating multiple electric energy meters with the same accuracy level, obtaining the first calibration result, and determining the deviation coefficient of each electric energy meter according to the first calibration result;

[0042] An electric energy meter selection unit for selecting electric energy meters according to the deviation coefficient and the first calibration result, and determining a first preset number of first electric energy meters for pipeline calibration and a second preset number of second electric energy meters for laboratory calibration;

[0043] A significance level determination unit for determining the significance level according to the first calibration results of the first electric energy meters and the second electric energy meters;

[0044] A second calibration result acquisition unit for calibrating the second electric energy meter after running according to a preset time threshold and a preset state by using a laboratory electric energy standard device, and obtaining the second calibration result;

[0045] A third calibration result acquisition unit for in-situ calibrating the electric energy meter pipeline verification device by using the first electric energy meter after running according to the preset time threshold and the preset state, and obtaining the third calibration result;

[0046] A measurement uncertainty determination unit for determining the measurement uncertainty corresponding to the third calibration result according to the second calibration result, the third calibration result, and the significance level.

[0047] Preferably, the deviation coefficient determination unit determines the deviation coefficient of each electric energy meter according to the first calibration result, including:

[0048]

[0049]

[0050] where p z is the deviation coefficient of the z-th electric energy meter, and y z (i) is the first calibration result of the z-th electric energy meter at the i-th load point; y 0(i) is the average of the calibration results of z watt-hour meters corresponding to the i-th load point; Z is the total number of watt-hour meters; I is the total number of load points.

[0051] Preferably, the significance level determination unit determines the significance level according to the first calibration results of the first watt-hour meter and the second watt-hour meter, including:

[0052]

[0053]

[0054]

[0055]

[0056] Among them, α is the significance level; I is the total number of load points; α(i) is the significance level of the watt-hour meter at the i-th load point; is the average of the first calibration results of the first watt-hour meter at the i-th load point; is the average of the first calibration results of the second watt-hour meter at the i-th load point; M is the first preset quantity; N is the second preset quantity; y M (i) is the first calibration result of the M-th watt-hour meter at the i-th load point; y N (i) is the first calibration result of the N-th watt-hour meter at the i-th load point.

[0057] Preferably, the measurement uncertainty determination unit determines the measurement uncertainty corresponding to the third calibration result according to the second calibration result, the third calibration result and the significance level, including:

[0058] Determine the average of the second calibration results according to the second calibration results;

[0059] Determine the first measurement standard uncertainty according to the significance level;

[0060] Determine the measurement uncertainty corresponding to the third calibration result according to the third calibration result, the average of the second calibration results and the first measurement standard uncertainty.

[0061] Preferably, the measurement uncertainty determination unit determines the average of the second calibration results according to the second calibration results, including:

[0062]

[0063] Among them, is the average of the second calibration results of N second watt-hour meters at the i-th load point; y N '(i) is the second calibration result of the N-th second watt-hour meter at the i-th load point.

[0064] Preferably, the measurement uncertainty determination unit determines a first measurement standard uncertainty according to the significance level, including:

[0065]

[0066]

[0067] where u l is the first measurement standard uncertainty; u n is the measurement standard uncertainty of the nth second watt-hour meter, 0 ≤ n ≤ N; N is the total number of second watt-hour meters; is the average value of the standard uncertainties of N second watt-hour meters.

[0068] Preferably, the measurement uncertainty determination unit determines the measurement uncertainty corresponding to the third calibration result according to the third calibration result, the average value of the second calibration results, and the first measurement standard uncertainty, including:

[0069]

[0070] u 1 = u l / μ,

[0071]

[0072]

[0073]

[0074] where y is the third calibration result; y j ” is the average value of the measurement results corresponding to the jth time at the ith load point; u std is the measurement standard uncertainty corresponding to the third calibration result; u 1 is the uncertainty introduced by the first watt-hour meter; u 2 is the uncertainty introduced by the maximum allowable error E; u 3 is the uncertainty introduced by measurement repeatability; μ is the distribution factor when the confidence interval is 1 - α and conforms to the normal distribution; α is the significance level; u l is the first measurement standard uncertainty; is the average value of the second calibration results of N second watt-hour meters at the ith load point.

[0075] Preferably, the system further includes:

[0076] Using the 3σ criterion to eliminate outliers in the average value of the measurement results corresponding to the jth time at the ith load point.

[0077] The present invention provides an in-situ calibration method and system for an electric energy meter assembly line calibration device. By selecting and operating several electric energy meters of the same batch model as the twin meters on the assembly line in a calibration laboratory, and operating them in the same state, using a high-accuracy electric energy meter calibration device to calibrate them, and determining the consistency degree of the metering performance of the meters according to the correlation analysis method, so as to use the meters operating on the assembly line as standard electric energy meters, thereby realizing the in-situ calibration of the electric energy meter assembly line calibration device. Brief Description of the Drawings

[0078] The exemplary embodiments of the present invention can be more fully understood by referring to the following drawings:

[0079] Figure 1 It is a flowchart of the in-situ calibration method 100 for an electric energy meter assembly line calibration device according to an embodiment of the present invention;

[0080] Figure 2 It is a schematic diagram of the twin marker selection rule according to an embodiment of the present invention;

[0081] Figure 3 It is a schematic diagram of calibrating an electric energy meter assembly line calibration device based on the twin consistency analysis of a standard electric energy meter;

[0082] Figure 4 It is a schematic diagram of the structure of the in-situ calibration system 400 for an electric energy meter assembly line calibration device according to an embodiment of the present invention. Detailed Embodiments

[0083] Now, the exemplary embodiments of the present invention will be introduced with reference to the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely, and to fully convey the scope of the present invention to those skilled in the art. The terms in the exemplary embodiments shown in the drawings are not limitations to the present invention. In the drawings, the same units / components are denoted by the same reference numerals.

[0084] Unless otherwise specified, the terms (including scientific and technical terms) used herein have the ordinary meaning understood by those skilled in the art. In addition, it can be understood that the terms defined in the commonly used dictionary should be understood as having a meaning consistent with the context of their related fields, and should not be understood as having an idealized or overly formal meaning.

[0085] Figure 1 It is a flowchart of the in-situ calibration method 100 for an electric energy meter assembly line calibration device according to an embodiment of the present invention. As Figure 1As shown, the in-situ calibration method of the electric energy meter pipeline calibration device provided by the embodiment of the present invention selects and operates several electric energy meters of the same batch model as the twin meters on the pipeline in the calibration laboratory, operates them in the same state, calibrates them with a high-accuracy electric energy meter calibration device, and determines the consistency degree of the metering performance of the meters according to the correlation analysis method, so as to use the meters operating on the pipeline as the standard electric energy meters, thereby realizing the in-situ calibration of the electric energy meter pipeline calibration device. The in-situ calibration method 100 of the electric energy meter pipeline calibration device provided by the embodiment of the present invention includes:

[0086] Step 101, calibrate multiple electric energy meters with the same accuracy level, obtain the first calibration result, and determine the deviation coefficient of each electric energy meter according to the first calibration result.

[0087] Preferably, the determining the deviation coefficient of each electric energy meter according to the first calibration result includes:

[0088]

[0089]

[0090] where p z is the deviation coefficient of the z-th electric energy meter, and y z (i) is the first calibration result of the z-th electric energy meter at the i-th load point; y 0 (i) is the average value of the calibration results of the z electric energy meters corresponding to the i-th load point; Z is the total number of electric energy meters: I is the total number of load points.

[0091] In the present invention, first, use a high-accuracy electric energy meter detection device to calibrate Z (Z >> (M + N)) intelligent electric energy meters to obtain the first calibration result. Among them, the calibration result is the electric energy measurement error of the electric energy meter at each load point. Among them, the Z intelligent electric energy meters are all of the same accuracy level, the same manufacturer, batch, and specification model. Among them, for the i-th load point, the first calibration results corresponding to each intelligent electric energy meter are respectively y 1 (i), y 2 (i),..., y Z (i), as shown in Table 1 below.

[0092] Table 1 Calibration results of n electric energy meters

[0093] Point of Load Meter No. 1 Meter No. 2 ...... Meter No. Z 1 <![CDATA[y 1 (1)]]> <![CDATA[y 2 (1)]]> ...... <![CDATA[y z (1)]]> 2 <![CDATA[y 1 (2)]]> <![CDATA[y 2 (2)]]> ...... <![CDATA[y z (2)]]> ...... ...... ...... ...... ...... l <![CDATA[y 1 (I)]]> <![CDATA[y 2 (I)]]> ...... <![CDATA[y z (I)]]>

[0094] Then, calculate the average value y of the first calibration results of the Z meters corresponding to each load point i 0 (i) is:

[0095]

[0096]

[0097] Then, calculate the deviation coefficient of the z-th (1 ≤ z ≤ Z) meter:

[0098]

[0099] where p z is the deviation coefficient of the z-th electricity meter, and y z (i) is the first calibration result of the z-th electricity meter at the i-th load point; y 0 (i) is the average value of the calibration results of the z electricity meters corresponding to the i-th load point; Z is the total number of electricity meters; I is the total number of load points; where the coefficient α z The smaller it is, the relatively better the metering performance of the meter.

[0100] Step 102: Select electricity meters according to the deviation coefficient and the first calibration result, and determine the first preset number of first electricity meters for in-line calibration and the second preset number of second electricity meters for laboratory calibration.

[0101] In the present invention, a threshold a is determined according to the determined deviation coefficient, and (M + N) meters within the range (y 0 ± a) are selected according to the actual demand for the number or proportion of electricity meters. Among them, the first preset threshold M randomly selected meters operate on the production line as standard meters for calibrating and real-time monitoring the in-line calibration device; the remaining second preset threshold N meters are used as twin meters of the in-line electricity meters and operate in the laboratory. At this time, it is considered that all the selected electricity meters have good consistency. As Figure 2 shown, each point in the figure represents the calibration result of each electricity meter, and y 0 represents the average value of each calibration result. According to the determined threshold a, (M + N) meters with calibration results within (y 0 ± a) are selected as the subsequent meters to be used.

[0102] Step 103: Determine the significance level according to the first calibration results of the first electricity meters and the second electricity meters.

[0103] Preferably, the determining the significance level according to the first calibration results of the first electricity meters and the second electricity meters includes:

[0104]

[0105]

[0106]

[0107]

[0108] Among them, α is the significance level; I is the total number of load points; α(i) is the significance level of the electricity meter at the i-th load point; is the mean value of the first calibration result of the first electricity meter at the i-th load point; is the mean value of the first calibration result of the second electricity meter at the i-th load point; M is the first preset quantity; N is the second preset quantity; y M (i) is the first calibration result of the M-th electricity meter at the i-th load point; y N (i) is the first calibration result of the N-th electricity meter at the i-th load point.

[0109] In the present invention, according to the first calibration results of the M electricity meters for pipeline detection and the N twin meters for laboratory detection obtained, the significance level is calculated. Specifically, it includes:

[0110] Use the following formula to calculate the mean value of the first calibration result and the second calibration mean value of the first electricity meter and the second electricity meter at the i-th load point respectively, which are:

[0111]

[0112]

[0113] Then, calculate the significance level α as:

[0114]

[0115]

[0116] Among them, I represents the number of load points; α(i) is the significance level of the electricity meter at the i-th load point; is the mean value of the first calibration result of the first electricity meter at the i-th load point; is the mean value of the first calibration result of the second electricity meter at the i-th load point; M is the first preset quantity; N is the second preset quantity; y M (i) is the first calibration result of the M-th electricity meter at the i-th load point; y N (i) is the first calibration result of the N-th electricity meter at the i-th load point.

[0117] At this time, the confidence level is (1 - α), which can indicate that the calibration results of the pipeline electricity meters are consistent with the calibration results of the laboratory meters within the confidence interval (1 - α).

[0118] Step 104, use the laboratory electricity standard device to calibrate the second electricity meter after running according to the preset time threshold and preset state, and obtain the second calibration result.

[0119] Step 105: Use the first electricity meter after running according to the preset time threshold and preset status to perform in-situ calibration on the electricity meter pipeline calibration device, and obtain the third calibration result.

[0120] In the present invention, N twin meters selected for laboratory testing and M meters for pipeline testing are operated in the same state, specifically including working duration, operation specifications, environmental temperature and humidity, etc., to ensure the consistency of meter performance. After a period of time, use a high-accuracy electricity meter calibration device to calibrate the N second electricity meters in the laboratory to obtain the second calibration result, and use the electricity meter pipeline calibration device to calibrate the M first electricity meters to obtain the third calibration result.

[0121] Step 106: Determine the measurement uncertainty corresponding to the third calibration result according to the second calibration result, the third calibration result, and the significance level.

[0122] Preferably, the determining the measurement uncertainty corresponding to the third calibration result according to the second calibration result, the third calibration result, and the significance level includes:

[0123] Determine the mean value of the second calibration result according to the second calibration result;

[0124] Determine the first measurement standard uncertainty according to the significance level;

[0125] Determine the measurement uncertainty corresponding to the third calibration result according to the third calibration result, the mean value of the second calibration result, and the first measurement standard uncertainty.

[0126] Preferably, the determining the mean value of the second calibration result according to the second calibration result includes:

[0127]

[0128] Where, is the mean value of the second calibration results of the N second electricity meters at the i-th load point; y N ′(i) is the second calibration result of the N-th second electricity meter at the i-th load point.

[0129] Preferably, the determining the first measurement standard uncertainty according to the significance level includes:

[0130]

[0131]

[0132] Where, u l is the first measurement standard uncertainty; un is the measurement standard uncertainty of the n-th second watt-hour meter, where 0 ≤ n ≤ N; N is the total number of second watt-hour meters; is the average value of the standard uncertainties of N second watt-hour meters.

[0133] Preferably, determining the measurement uncertainty corresponding to the third calibration result according to the third calibration result, the mean value of the second calibration results, and the first measurement standard uncertainty includes:

[0134]

[0135] u 1 = u l / μ,

[0136]

[0137]

[0138]

[0139] where y is the third calibration result; y j ” is the mean value of the measurement results corresponding to the j-th time at the i-th load point; u std is the measurement standard uncertainty corresponding to the third calibration result; u 1 is the uncertainty introduced by the first watt-hour meter; u 2 is the uncertainty introduced by the maximum allowable error E; u 3 is the uncertainty introduced by measurement repeatability; μ is the distribution factor when the confidence interval is 1 - α and conforms to the normal distribution; α is the significance level; u l is the first measurement standard uncertainty; is the mean value of the second calibration results of N second watt-hour meters at the i-th load point.

[0140] Preferably, the method further includes:

[0141] Using the 3σ criterion to eliminate outliers in the mean value of the measurement results corresponding to the j-th time at the i-th load point.

[0142] In the present invention, first, calculating the mean value of the second calibration results of each load point according to the third calibration results corresponding to the second watt-hour meters of each load point includes:

[0143]

[0144] where, is the mean value of the second calibration results of N second watt-hour meters at the i-th load point; y NThe second calibration result of the Nth second electric energy meter at the ith load point is ′(i).

[0145] Then, according to the significance level, determine the first measurement standard uncertainty, including:

[0146]

[0147]

[0148] where u l is the first measurement standard uncertainty; u n is the measurement standard uncertainty of the nth second electric energy meter, 0 ≤ n ≤ N; N is the total number of second electric energy meters; is the average value of the standard uncertainties of N second electric energy meters.

[0149] At this time, it can be regarded that the calibration values of M intelligent electric energy meters on the assembly line during this period are The measurement uncertainty is u = u l , and the corresponding confidence interval is (1 - α), which conforms to the normal distribution. At this time, the factor μ can be obtained, and the standard uncertainty of M meters on the assembly line can be obtained as u s = u l / μ.

[0150] Finally, use the M meters on the assembly line as the standard meters to perform in-situ calibration on the assembly line electric energy meter calibration device. The measurement result takes the average value of the measured values of each meter, and uses the 3σ criterion to eliminate the outliers in the average value y 1 ”, y 2 ”,..., y j ” of the measurement results corresponding to the jth time at the ith load point. Among them, for the ith load point, the average values of the jth measurement results are y 1 ”, y 2 ”,..., y j ”, and the corrected result is Then the third calibration result of the assembly line device includes:

[0151]

[0152] The standard measurement uncertainty corresponding to the third calibration result is:

[0153]

[0154] u 1 = u s = u l / μ,

[0155]

[0156]

[0157] where y is the third calibration result; y j ” is the mean value of the measurement results corresponding to the i-th load point and the j-th time; u std is the measurement standard uncertainty corresponding to the third calibration result; u 1 is the uncertainty introduced by the first electric energy meter; u 2 is the uncertainty introduced by the maximum allowable error E; u 3 is the uncertainty introduced by measurement repeatability; μ is the distribution factor when the confidence interval is 1-α and conforms to the normal distribution; α is the significance level; u l is the first measurement standard uncertainty; is the mean value of the second calibration results of N second electric energy meters at the i-th load point.

[0158] In summary, the in-situ calibration of the electric energy meter pipeline calibration device based on the electric energy meter running on the pipeline is realized.

[0159] Figure 3 is a schematic diagram of calibrating the electric energy meter pipeline calibration device based on the twin consistency analysis of the standard electric energy meter. As Figure 3 shown, the initial selection of the electric energy meter can be a miniaturized standard electric energy meter provided by the calibration laboratory, or a running meter (mounted electric energy meter) on the pipeline. By calibrating the electric energy meter using a high-accuracy electric energy meter calibration device, and analyzing and selecting (M + N) meters according to the meter calibration results, where M meters run on the pipeline and N meters are used as twin meters of the pipeline standard electric energy meter. After running for a period of time, use a high-accuracy electric energy meter calibration device to calibrate the N twin meters running in the laboratory, and evaluate the meter consistency level based on the correlation analysis method to obtain the calibration value (correction value) of the pipeline electric energy meter, so as to perform in-situ calibration of the electric energy meter pipeline calibration device using the pipeline meter and calculate the measurement uncertainty.

[0160] The present invention can be used in an automatic calibration system to realize the in-situ calibration of the electric energy meter pipeline calibration device, monitor the metrological performance and operation reliability.

[0161] Figure 4 is a schematic structural diagram of the in-situ calibration system 400 of the electric energy meter pipeline calibration device according to an embodiment of the present invention. As Figure 4 shown, the in-situ calibration system 400 of the electric energy meter pipeline calibration device provided by the embodiment of the present invention includes:

[0162] The deviation coefficient determination unit 401 is configured to calibrate multiple watt-hour meters with the same accuracy level, obtain a first calibration result, and determine the deviation coefficient of each watt-hour meter according to the first calibration result.

[0163] Preferably, the deviation coefficient determination unit 401 determines the deviation coefficient of each watt-hour meter according to the first calibration result, including:

[0164]

[0165]

[0166] where p z is the deviation coefficient of the z-th watt-hour meter, and y z (i) is the first calibration result of the z-th watt-hour meter at the i-th load point; y 0 (i) is the average value of the calibration results of the z watt-hour meters corresponding to the i-th load point; Z is the total number of watt-hour meters; and I is the total number of load points.

[0167] The watt-hour meter selection unit 402 is configured to select watt-hour meters according to the deviation coefficient and the first calibration result, and determine a first preset number of first watt-hour meters for pipeline calibration and a second preset number of second watt-hour meters for laboratory calibration.

[0168] The significance level determination unit 403 is configured to determine the significance level according to the first calibration results of the first watt-hour meters and the second watt-hour meters.

[0169] Preferably, the significance level determination unit 403 determines the significance level according to the first calibration results of the first watt-hour meters and the second watt-hour meters, including:

[0170]

[0171]

[0172]

[0173]

[0174] where α is the significance level; I is the total number of load points; α(i) is the significance level of the watt-hour meter at the i-th load point; is the average value of the first calibration results of the first watt-hour meter at the i-th load point; is the average value of the first calibration results of the second watt-hour meter at the i-th load point; M is the first preset number; N is the second preset number; and y M (i) is the first calibration result of the M-th watt-hour meter at the i-th load point; y N(i) is the first calibration result of the Nth electricity meter at the ith load point.

[0175] The second calibration result acquisition unit 404 is configured to calibrate the second electricity meter that has operated according to a preset time threshold and a preset state by using a laboratory electricity standard device, and acquire a second calibration result.

[0176] The third calibration result acquisition unit 405 is configured to perform in-situ calibration on the electricity meter pipeline verification device by using the first electricity meter that has operated according to the preset time threshold and the preset state, and acquire a third calibration result.

[0177] The measurement uncertainty determination unit 406 is configured to determine the measurement uncertainty corresponding to the third calibration result according to the second calibration result, the third calibration result, and the significance level.

[0178] Preferably, the measurement uncertainty determination unit 406 determines the measurement uncertainty of the calibration result corresponding to the in-situ calibration of the electricity meter pipeline verification device corresponding to the third calibration result according to the second calibration result, the third calibration result, and the significance level, including:

[0179] Determine the mean value of the second calibration result according to the second calibration result;

[0180] Determine the first measurement standard uncertainty according to the significance level;

[0181] Determine the measurement uncertainty corresponding to the third calibration result according to the third calibration result, the mean value of the second calibration result, and the first measurement standard uncertainty.

[0182] Preferably, the measurement uncertainty determination unit 406 determines the mean value of the second calibration result according to the second calibration result, including:

[0183]

[0184] Wherein, is the mean value of the second calibration results of N second electricity meters at the ith load point; y N ′(i) is the second calibration result of the Nth second electricity meter at the ith load point.

[0185] Preferably, the measurement uncertainty determination unit 406 determines the first measurement standard uncertainty according to the significance level, including:

[0186]

[0187]

[0188] Wherein, ul is the first measurement standard uncertainty; u n is the measurement standard uncertainty of the nth second watt-hour meter, where 0 ≤ n ≤ N; N is the total number of second watt-hour meters; is the average value of the standard uncertainties of N second watt-hour meters.

[0189] Preferably, the measurement uncertainty determination unit 406 determines the measurement uncertainty corresponding to the third calibration result according to the third calibration result, the average value of the second calibration results, and the first measurement standard uncertainty, including:

[0190]

[0191] u 1 = u l / μ,

[0192]

[0193]

[0194]

[0195] where y is the third calibration result; y j ” is the average value of the measurement results corresponding to the jth time at the ith load point; u std is the measurement standard uncertainty corresponding to the third calibration result; u 1 is the uncertainty introduced by the first watt-hour meter; u 2 is the uncertainty introduced by the maximum allowable error E; u 3 is the uncertainty introduced by measurement repeatability; μ is the distribution factor when the confidence interval is 1 - α and conforms to the normal distribution; α is the significance level; u l is the first measurement standard uncertainty; is the average value of the second calibration results of N second watt-hour meters at the ith load point.

[0196] Preferably, the system further includes:

[0197] Using the 3σ criterion to eliminate outliers in the average value of the measurement results corresponding to the jth time at the ith load point.

[0198] The in-situ calibration system 400 of the watt-hour meter pipeline verification device in the embodiment of the present invention corresponds to the in-situ calibration method 100 of the watt-hour meter pipeline verification device in another embodiment of the present invention, and will not be elaborated here.

[0199] The present invention has been described with reference to a few embodiments. However, as is well known to those skilled in the art, other embodiments equivalent to those disclosed above of the present invention equally fall within the scope of the present invention as defined by the appended patent claims.

[0200] Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless otherwise clearly defined therein. All references to "a / the [device, component, etc.]" are to be construed openly as at least one instance of the device, component, etc., unless otherwise explicitly stated. The steps of any method disclosed herein need not be performed in the exact order disclosed, unless explicitly stated.

[0201] Those skilled in the art will appreciate that the embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0202] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and combinations of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing device to produce a machine, such that the instructions executed by the processor of the computer or other programmable data processing device generate means for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.

[0203] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including instruction means that implement the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.

[0204] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus, so that a series of operation steps are performed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions for implementing the process Figure 1 one process or a plurality of processes and / or blocks Figure 1 steps for the functions specified in one block or a plurality of blocks.

[0205] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications or equivalent replacements can still be made to the specific embodiments of the present invention. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention shall be covered by the protection scope of the claims of the present invention.

Claims

1. In-situ calibration method for an in-line verification device of an electric energy meter, Characterized in that, The method includes: Calibrating multiple electric energy meters with the same accuracy level, obtaining a first calibration result, and determining a deviation coefficient for each electric energy meter according to the first calibration result; Selecting electric energy meters according to the deviation coefficient and the first calibration result, determining a first preset number of first electric energy meters for in-line calibration and a second preset number of second electric energy meters for laboratory calibration; Determining a significance level according to the first calibration results of the first electric energy meters and the second electric energy meters; Calibrating the second electric energy meters after running according to a preset time threshold and a preset state by using a laboratory electric energy standard device, obtaining a second calibration result; Performing in-situ calibration on the in-line verification device of the electric energy meter by using the first electric energy meters after running according to the preset time threshold and the preset state, obtaining a third calibration result; Determining a measurement uncertainty corresponding to the third calibration result according to the second calibration result, the third calibration result and the significance level; Wherein, the determining the significance level according to the first calibration results of the first electric energy meters and the second electric energy meters includes: Among them, α is the significance level; I is the total number of load points; α(i) is the significance level of the watt-hour meter at the i-th load point; is the mean value of the first calibration result of the first watt-hour meter at the i-th load point; is the mean value of the first calibration result of the second watt-hour meter at the i-th load point; M is the first preset quantity; N is the second preset quantity; y M (i) is the first calibration result of the M-th watt-hour meter at the i-th load point; y N (i) is the first calibration result of the N-th watt-hour meter at the i-th load point; Wherein, the determining the measurement uncertainty corresponding to the third calibration result according to the second calibration result, the third calibration result and the significance level includes: Determining a mean value of the second calibration result according to the second calibration result; Determining a first measurement standard uncertainty according to the significance level; Determining the measurement uncertainty corresponding to the third calibration result according to the third calibration result, the mean value of the second calibration result and the first measurement standard uncertainty.

2. The method according to claim 1, Characterized in that, The determining the deviation coefficient for each electric energy meter according to the first calibration result includes: where p z is the deviation coefficient of the z-th electricity meter, and y z (i) is the first calibration result of the z-th electricity meter at the i-th load point; and y 0 (i) is the average value of the calibration results of the z electricity meters corresponding to the i-th load point; Z is the total number of electricity meters; and I is the total number of load points.

3. The method according to claim 1, Characterized in that, The determining the mean value of the second calibration result according to the second calibration result includes: Among them, is the mean value of the second calibration results of N second electric energy meters at the i-th load point; y N '(i) is the second calibration result of the N-th second electric energy meter at the i-th load point.

4. The method according to claim 1, Characterized in that, The determining the first measurement standard uncertainty according to the significance level includes: where, u l is the first measurement standard uncertainty; u n is the measurement standard uncertainty of the n-th second watt-hour meter, where 0 ≤ n ≤ N; N is the total number of second watt-hour meters; is the average value of the standard uncertainties of N second watt-hour meters.

5. The method according to claim 1, Characterized in that, The determining the measurement uncertainty corresponding to the third calibration result according to the third calibration result, the mean value of the second calibration result and the first measurement standard uncertainty includes: u 1 = u l / μ, where y is the third calibration result; y j ” is the mean of the measurement results corresponding to the j-th time at the i-th load point; u std is the measurement standard uncertainty corresponding to the third calibration result; u 1 is the uncertainty introduced by the first watt-hour meter; u 2 is the uncertainty introduced by the maximum allowable error E; u 3 is the uncertainty introduced by the measurement repeatability; μ is the distribution factor when the confidence interval is 1-α and conforms to the normal distribution; α is the significance level; u l is the first measurement standard uncertainty; is the mean of the second calibration results of N second watt-hour meters at the i-th load point.

6. The method according to claim 5, Characterized in that, The method further includes: Using the 3σ criterion to eliminate outliers in the mean value of the measurement results corresponding to the j-th time at the i-th load point.

7. An in-situ calibration system for an in-line verification device of an electric energy meter, Characterized in that, The system includes: A deviation coefficient determination unit, configured to calibrate multiple electric energy meters with the same accuracy level, obtain a first calibration result, and determine a deviation coefficient for each electric energy meter according to the first calibration result; An electric energy meter selection unit, configured to select electric energy meters according to the deviation coefficient and the first calibration result, and determine a first preset number of first electric energy meters for in-line calibration and a second preset number of second electric energy meters for laboratory calibration; A significance level determination unit for determining a significance level according to a first calibration result of the first electricity meter and the second electricity meter; A second calibration result acquisition unit for calibrating the second electricity meter after running according to a preset time threshold and a preset state by using a laboratory electricity standard device, and acquiring a second calibration result; A third calibration result acquisition unit for in-situ calibrating an electricity meter pipeline verification device by using the first electricity meter after running according to the preset time threshold and the preset state, and acquiring a third calibration result; A measurement uncertainty determination unit for determining a measurement uncertainty corresponding to the third calibration result according to the second calibration result, the third calibration result and the significance level; Wherein, the significance level determination unit determines the significance level according to the first calibration results of the first electricity meter and the second electricity meter, including: where α is the significance level; I is the total number of load points; α(i) is the significance level of the watt-hour meter at the i-th load point; is the mean value of the first calibration result of the first watt-hour meter at the i-th load point; is the mean value of the first calibration result of the second watt-hour meter at the i-th load point; M is the first preset quantity; N is the second preset quantity; y M (i) is the first calibration result of the M-th watt-hour meter at the i-th load point; y N (i) is the first calibration result of the N-th watt-hour meter at the i-th load point; Wherein, the measurement uncertainty determination unit determines the measurement uncertainty corresponding to the third calibration result according to the second calibration result, the third calibration result and the significance level, including: Determining a second calibration result mean according to the second calibration result; Determining a first measurement standard uncertainty according to the significance level; Determining a measurement uncertainty corresponding to the third calibration result according to the third calibration result, the second calibration result mean and the first measurement standard uncertainty.

8. The system according to claim 7, wherein, The deviation coefficient determination unit determines the deviation coefficient of each electricity meter according to the first calibration result, including: where p z is the deviation coefficient of the z-th watt-hour meter, and y z (i) is the first calibration result of the z-th watt-hour meter at the i-th load point; and y 0 (i) is the average value of the calibration results of the z watt-hour meters corresponding to the i-th load point; Z is the total number of watt-hour meters; and I is the total number of load points.

9. The system according to claim 7, wherein, The measurement uncertainty determination unit determines the second calibration result mean according to the second calibration result, including: wherein, is the mean value of the second calibration results of N second electricity meters at the i-th load point; y N '(i) is the second calibration result of the N-th second electricity meter at the i-th load point.

10. The system according to claim 7, wherein, The measurement uncertainty determination unit determines the first measurement standard uncertainty according to the significance level, including: where, u l is the first measurement standard uncertainty; u n is the measurement standard uncertainty of the nth second watt-hour meter, where 0 ≤ n ≤ N; N is the total number of second watt-hour meters; is the average value of the standard uncertainties of N second watt-hour meters.

11. The system according to claim 7, wherein, The measurement uncertainty determination unit determines the measurement uncertainty corresponding to the third calibration result according to the third calibration result, the second calibration result mean and the first measurement standard uncertainty, including: u 1 = u l / μ, where y is the third calibration result; y j ” is the mean of the measurement results corresponding to the j-th time at the i-th load point; u std is the measurement standard uncertainty corresponding to the third calibration result; u 1 is the uncertainty introduced by the first electric energy meter; u 2 is the uncertainty introduced by the maximum allowable error E; u 3 is the uncertainty introduced by the measurement repeatability; μ is the distribution factor when the confidence interval is 1-α and conforms to the normal distribution; α is the significance level; u l is the first measurement standard uncertainty; is the mean of the second calibration results of N second electric energy meters at the i-th load point.

12. The system according to claim 11, wherein, The system further includes: Using the 3σ criterion to eliminate outliers in the mean of the measurement results corresponding to the j-th time at the i-th load point.

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