CN110441727B - Method and device for evaluating state of electric energy meter calibrator - Google Patents
Method and device for evaluating state of electric energy meter calibrator Download PDFInfo
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- CN110441727B CN110441727B CN201910717694.3A CN201910717694A CN110441727B CN 110441727 B CN110441727 B CN 110441727B CN 201910717694 A CN201910717694 A CN 201910717694A CN 110441727 B CN110441727 B CN 110441727B
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Abstract
The invention discloses a method and a device for evaluating the state of an electric energy meter, wherein the method comprises the steps of obtaining preset parameters; performing index decomposition on the state evaluation aspect of the electric energy meter, and determining a quantitative state item which can be used for evaluating the state of the electric energy meter; determining a weight value and a quantized value of the quantized state item according to the preset parameters and an electric energy meter calibration state evaluation model, and calculating to obtain a scoring result of the electric energy meter calibration; early warning is carried out on the electric energy meter according to the scoring result and a preset early warning threshold value; according to the method, state evaluation is introduced into the electric energy meter calibrator, the state of the electric energy meter calibrator on the spot is evaluated through the state, the problems of the electric energy meter calibrator are found and processed in time, the spot detection efficiency of the electric energy meter is improved, the detection accuracy of the electric energy meter calibrator is ensured, and the economic loss caused by inaccuracy of the electric energy meter calibrator is reduced.
Description
Technical Field
The invention relates to the field of electric energy metering professions, in particular to a method and a device for evaluating the state of an electric energy meter
Background
The electric energy meter calibrator is a device for carrying out field detection on the electric energy meter for trade settlement and internal check, which is installed at the power grid enterprises, the power generation enterprises and the power utilization enterprises.
At present, the electric power industry standard DL/T448 technical management regulations of electric energy metering devices require that an installed electric energy meter is periodically subjected to field detection to ensure the accuracy of the electric energy meter in field operation, and the existing detection mode is that detection personnel carry an electric energy meter calibrator to carry out field detection on the electric energy meter in the management range, and because the electric energy meter calibrator has wide distribution range and remote positions, jolt and loss are unavoidable when the electric energy meter calibrator is transported to the field, the state of the electric energy meter calibrator when the electric energy meter field detection is carried out is difficult to control, and the condition that the accuracy of the electric energy meter in field operation cannot be accurately measured exists, so that the state detection of the electric energy meter calibrator needs to be carried out.
With the application of automatic acquisition of detection data in the electric energy meter calibration instrument, the data items of interaction among the electric energy meter calibration instrument, the master station and the electric energy meter are increasingly perfect, and feasibility is provided for the electric energy meter calibration instrument to evaluate the implementation state of the electric energy meter calibration instrument.
Disclosure of Invention
In order to solve the problem that the state of an electric energy meter calibrator in the background art is difficult to master when electric energy meter field detection is carried out, and the accuracy condition of an on-site operation electric energy meter cannot be accurately measured, the invention provides a method for evaluating the state of the electric energy meter calibrator, which comprises the following steps:
Acquiring preset parameters;
performing index decomposition on the detection data accuracy, the operation reliability, the potential hidden danger and the detection influence quantity of the electric energy meter calibration instrument to determine M quantitative state items which can be used for evaluating the state of the electric energy meter calibration instrument; m is a positive integer;
determining weight values and quantized values of the M quantized state items according to the preset parameters and a state evaluation model of the electric energy meter, and calculating to obtain a scoring result of the electric energy meter;
and carrying out early warning on the electric energy meter according to the scoring result and a preset early warning threshold value.
Further, the accuracy of the detection data comprises the accuracy of error data obtained when the electric energy meter calibrator performs field detection on the electric energy meter, the accuracy of error data obtained when the standard device calibrates or checks the electric energy meter calibrator during the period, and the accuracy of clock deviation of the electric energy meter calibrator;
the operation reliability comprises the reliability of the operation of the electric energy meter and the stability of various functions;
the potential hidden trouble comprises component defects and software loopholes which can cause the loss of functions of the electric energy meter;
The detection influence quantity comprises the environmental conditions when the electric energy meter calibration instrument detects, and the voltage and current index information detected by the electric energy meter calibration instrument in the field detection.
Further, the M quantization status items include: the device comprises an electric energy meter calibrator, error data checked during calibration or period of the electric energy meter calibrator, qualification rate of the error data of the electric energy meter to be checked, stability of the error data of the electric energy meter to be checked, clock deviation of the current calibrator, reliability of operation, stability of functions, defects of components and devices of the electric energy meter calibrator in the same batch, software loopholes of the electric energy meter calibrator in the same batch, three-phase current imbalance, three-phase voltage imbalance, ambient temperature and ambient humidity.
Further, in the state evaluation model of the electric energy meter calibrator, the weight of error data checked during calibration or period of the electric energy meter calibrator is P 1 ；
The qualification rate weight of the error data of the detected electric energy meter is P 2 ；
The stability weight of the error data of the detected electric energy meter is P 3 ；
The clock deviation weight of the current calibrator is P 4 ；
The reliability weight of the operation is P 5 ；
The stability weight of the function is P 6 ；
The defect weight of the components generated by the same-batch electric energy meter calibrator is P 7 ；
The software vulnerability weight generated by the same-batch electric energy meter calibrator is P 8 ；
The weight of the three-phase current unbalance is P 9 ；
The weight of the three-phase voltage unbalance is P 10 ；
The environmental temperature weight is P 11 ；
The weight of the environmental humidity is P 12 ；
Wherein 0 is<P i <1，(i＝1,2，…，12)；
P 1 +P 2 +P 3 +P 4 +P 5 +P 6 +P 7 +P 8 +P 9 +P 10 +P 11 +P 12 ＝1。
Furthermore, in the state evaluation model of the electric energy meter, the calculation formula of the quantized value of the error data checked during the calibration or period of the electric energy meter is as follows,
wherein S is 1 A, quantifying the error data checked for calibration or during calibration of said power meter 1 B is the number of error points whose error is less than 80% of its limit value 1 Is the total number of error data points;
the calculation formula of the quantized value of the qualification rate of the error data of the detected electric energy meter is as follows,
wherein S is 2 A is a quantized value of the qualification rate of error data of the detected electric energy meter 2 B, in order that the error data of the detected electric energy meter is smaller than the limit quantity of the error data of the detected electric energy meter 2 Is the total number of error data;
the calculation formula of the quantized value of the stability of the error data of the detected electric energy meter is as follows,
wherein S is 3 A is a quantized value of the stability of the error data of the detected electric energy meter 3 B, for the standard deviation of the error data to be smaller than 60% of the error limit value of the detected electric energy meter 3 The total number of the electric energy meters to be detected;
the quantized value of the clock deviation of the current calibrator is,
S 4 =1, when the clock deviation of the electric energy meter is less than or equal to Pmin;
S 4 =1, when the clock deviation of the power meter calibration > Pmin;
the quantized value of the reliability of the operation is calculated by the formula,
wherein S is 5 A is a quantized value of the qualification rate of error data of the detected electric energy meter 5 B, the reliable operation times of the software of the electric energy meter 5 Is the total operation times; the P is a positive number;
the quantitative value calculation formula of the stability of the function is that,
wherein S is 6 A is a quantized value of the stability of the function 6 B, the times of normal operation of each detection item of the electric energy meter calibration software are b 6 Detecting the number of items for the total operation times;
the quantitative value calculation formula of the component defects generated by the same batch of electric energy meter calibration instrument is as follows,
wherein S is 7 A, quantifying the defect value of the component, a, of the same batch of electric energy meter 7 The number of the electric energy meter calibration instruments for generating component defects for the electric energy meter calibration instruments in the same batch, b 7 The number of components generated for the electric energy meter calibration instrument in the same batch is the number of components generated for the electric energy meter calibration instrument in the same batch;
the calculation formula of the quantized value of the software bug generated by the electric energy meter calibration instrument in the same batch is as follows,
Wherein S is 8 A, quantifying the software bug occurring in the same batch of electric energy meter calibrator 8 B, generating software bug quantity for electric energy meter calibration instrument in same batch 8 Calibrating the number of meters for the batch of electric energy meters;
the calculation formula of the quantized value of the three-phase current unbalance is as follows,
wherein S is 9 A is the quantized value of the three-phase current unbalance degree 9 For the number of times of detection of the unbalance degree of the three-phase current of the access loop less than or equal to Q percent and b 9 Is the total detection times; q is a positive number;
the calculation formula of the quantized value of the three-phase voltage unbalance is as follows,
wherein S is 10 A is the quantized value of the three-phase voltage unbalance degree 10 The unbalanced degree of the three-phase voltage of the access loop is less than or equal to N percent of the sum of detection times and b 10 Is the total detection times; the N is a positive number;
the calculation formula of the quantized value of the ambient temperature is as follows,
wherein S is 11 A is the quantized value of the ambient temperature 11 To detect the sum of the detection times of the ambient temperature in the (-T-S) DEG C interval, b 11 Is the total detection times; the T and the S are positive numbers;
the calculation formula of the quantized value of the ambient humidity is as follows,
wherein S is 12 A is the quantized value of the ambient humidity 12 B, detecting the sum of detection times of the relative humidity of the environment to be less than or equal to 90 percent 12 The total number of times of detection.
Further, the calculation formula for calculating the scoring result of the electric energy meter is as follows:
F＝(S 1 P 1 +S 2 P 2 +S 3 P 3 +S 4 P 4 +S 5 P 5 +S 6 P 6 +S 7 P 7 +S 8 P 8 +S 9 P 9 +S 10 P 10 +S 11 P 11 +S 12 P 12 )*100
and F is a scoring result of the electric energy meter.
The device for evaluating the state of the electric energy meter comprises:
the parameter acquisition unit is connected with the state evaluation model unit at one end; the parameter acquisition unit is used for acquiring preset parameters and sending the preset parameters to the state evaluation model unit;
the state evaluation model unit is connected with the parameter acquisition unit at one end and the score calculation unit at the other end; the state evaluation unit is used for carrying out index decomposition on the accuracy, the operation reliability, the potential hidden danger and the detection influence of the detection data of the electric energy meter, and determining M quantitative state items which can be used for evaluating the state of the electric energy meter; m is a positive integer; the state evaluation model unit is used for determining the weight values and the quantized values of the M quantized state items and sending the weight values and the quantized values of the M quantized state items to the score calculation unit;
The scoring calculation unit is connected with the state evaluation model unit at one end and the early warning control unit at the other end; the scoring calculation unit is used for calculating scoring results of the electric energy meter according to the weight values and the quantized values of the M quantized state items, and sending the scoring results to the early warning control unit;
and the early warning control unit performs early warning control on the electric energy meter according to the scoring result and a preset early warning threshold value.
Further, the state evaluation model unit includes:
the index decomposition module is connected with the parameter acquisition unit at one end and the weight determination module and the quantized value calculation module at the other end respectively; the index decomposition module is used for carrying out index decomposition on the detection data accuracy, the operation reliability, the potential hidden danger and the detection influence quantity of the electric energy meter, determining M quantitative state items which can be used for evaluating the state of the electric energy meter, and sending the M quantitative state items to the weight determination module and the quantitative value calculation module;
The weight determining module is connected with the index decomposing module at one end and the scoring calculating unit at the other end; the weight determining module is used for determining weight values of the M quantization status items and sending the weight values of the M quantization status items to the scoring calculating unit;
one end of the quantized value calculation module is respectively connected with the parameter acquisition unit and the index decomposition module, and the other end of the quantized value calculation module is connected with the score calculation unit; the quantization value calculation module is used for calculating quantization values of the M quantization state items according to the preset parameters, and sending the quantization values of the M quantization state items to the scoring calculation unit.
Further, the accuracy of the detection data comprises the accuracy of error data obtained when the electric energy meter calibrator performs field detection on the electric energy meter, the accuracy of error data obtained when the standard device calibrates or checks the electric energy meter calibrator during the period, and the accuracy of clock deviation of the electric energy meter calibrator;
the operation reliability comprises the reliability of the operation of the electric energy meter and the stability of various functions;
The potential hidden trouble comprises component defects and software loopholes which can cause the loss of functions of the electric energy meter;
the detection influence quantity comprises the environmental conditions when the electric energy meter calibration instrument detects, and the voltage and current index information detected by the electric energy meter calibration instrument in the field detection.
Further, the M quantization status items include: the device comprises an electric energy meter calibrator, error data checked during calibration or period of the electric energy meter calibrator, qualification rate of the error data of the electric energy meter to be checked, stability of the error data of the electric energy meter to be checked, clock deviation of the current calibrator, reliability of operation, stability of functions, defects of components and devices of the electric energy meter calibrator in the same batch, software loopholes of the electric energy meter calibrator in the same batch, three-phase current imbalance, three-phase voltage imbalance, ambient temperature and ambient humidity.
Further, in the state evaluation model of the electric energy meter calibrator, the weight of error data checked during calibration or period of the electric energy meter calibrator is P 1 ；
The qualification rate weight of the error data of the detected electric energy meter is P 2 ；
The stability weight of the error data of the detected electric energy meter is P 3 ；
The clock deviation weight of the current calibrator is P 4 ；
The reliability weight of the operation is P 5 ；
The stability weight of the function is P 6 ；
The defect weight of the components generated by the same-batch electric energy meter calibrator is P 7 ；
The software vulnerability weight generated by the same-batch electric energy meter calibrator is P 8 ；
The weight of the three-phase current unbalance is P 9 ；
The weight of the three-phase voltage unbalance is P 10 ；
The environmental temperature weight is P 11 ；
The weight of the environmental humidity is P 12 ；
Wherein 0 is<P i <1，(i＝1,2，…，12)；
P 1 +P 2 +P 3 +P 4 +P 5 +P 6 +P 7 +P 8 +P 9 +P 10 +P 11 +P 12 ＝1。
The beneficial effects of the invention are as follows: the technical scheme of the invention provides a method and a device for carrying out state evaluation on an electric energy meter, wherein the method comprises the steps of obtaining preset parameters; performing index decomposition on the state evaluation aspect of the electric energy meter, and determining a quantitative state item which can be used for evaluating the state of the electric energy meter; determining a weight value and a quantized value of the quantized state item according to the preset parameters and an electric energy meter calibration state evaluation model, and calculating to obtain a scoring result of the electric energy meter calibration; early warning is carried out on the electric energy meter according to the scoring result and a preset early warning threshold value; according to the method, state evaluation is introduced into the electric energy meter calibrator, the state of the electric energy meter calibrator on the spot is evaluated through the state, the problems of the electric energy meter calibrator are found and processed in time, the spot detection efficiency of the electric energy meter is improved, the detection accuracy of the electric energy meter calibrator is ensured, and the economic loss caused by inaccuracy of the electric energy meter calibrator is reduced.
Drawings
Exemplary embodiments of the present invention may be more completely understood in consideration of the following drawings:
FIG. 1 is a flow chart of a method for evaluating the status of an electrical energy meter according to an embodiment of the present invention;
fig. 2 is a block diagram of a device for evaluating a state of an electric energy meter according to an embodiment of the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the examples described herein, which are provided to fully and completely disclose the present invention and fully convey the scope of the invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, like elements/components are referred to by like reference numerals.
Unless otherwise indicated, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art. In addition, it will be understood that terms defined in commonly used dictionaries should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
Fig. 1 is a flowchart of a method for evaluating a state of an electric energy meter according to an embodiment of the present invention. As shown in fig. 1, the method includes:
in this example, the preset parameters include: error data checked during calibration or period of the electric energy meter calibrator, error data of the electric energy meter obtained by detection of the electric energy meter calibrator, error data of each electric energy meter obtained by detection of the electric energy meter calibrator, deviation of a clock of the electric energy meter calibrator and a time service clock/calibration clock, the number of times that the electric energy meter calibrator software does not flash back and crash, the number of times that each detection item of the electric energy meter calibrator software normally operates, fault statistics of the electric energy meter calibrator in the same batch, leak statistics of the electric energy meter calibrator software in the same batch, unbalance of three-phase current of an access loop during each detection, unbalance of three-phase voltage of the access loop during each detection, ambient temperature during detection and ambient relative humidity during detection.
Further, the accuracy of the detection data comprises the accuracy of error data obtained when the electric energy meter calibrator performs field detection on the electric energy meter, the accuracy of error data obtained when the standard device calibrates or checks the electric energy meter calibrator during the period, and the accuracy of clock deviation of the electric energy meter calibrator;
the operation reliability comprises the reliability of the operation of the electric energy meter and the stability of various functions;
the potential hidden trouble comprises component defects and software loopholes which can cause the loss of functions of the electric energy meter;
the detection influence quantity comprises the environmental conditions when the electric energy meter calibration instrument detects, and the voltage and current index information detected by the electric energy meter calibration instrument in the field detection;
further, the 12 quantization status items include: the device comprises an electric energy meter calibrator, error data checked during calibration or period of the electric energy meter calibrator, qualification rate of the error data of the electric energy meter to be checked, stability of the error data of the electric energy meter to be checked, clock deviation of the current calibrator, reliability of operation, stability of functions, defects of components and devices of the electric energy meter calibrator in the same batch, software loopholes of the electric energy meter calibrator in the same batch, three-phase current imbalance, three-phase voltage imbalance, ambient temperature and ambient humidity.
further, in the state evaluation model of the electric energy meter calibrator, the weight of error data checked during calibration or period of the electric energy meter calibrator is P 1 ；
The qualification rate weight of the error data of the detected electric energy meter is P 2 ；
The stability weight of the error data of the detected electric energy meter is P 3 ；
The clock deviation weight of the current calibrator is P 4 ；
The reliability weight of the operation is P 5 ；
The stability weight of the function is P 6 ；
The defect weight of the components generated by the same-batch electric energy meter calibrator is P 7 ；
The software vulnerability weight generated by the same-batch electric energy meter calibrator is P 8 ；
The weight of the three-phase current unbalance is P 9 ；
The weight of the three-phase voltage unbalance is P 10 ；
The environmental temperature weight is P 11 ；
The weight of the environmental humidity is P 12 ；
Wherein 0 is<P i <1，(i＝1,2，…，12)；
P 1 +P 2 +P 3 +P 4 +P 5 +P 6 +P 7 +P 8 +P 9 +P 10 +P 11 +P 12 ＝1；
In this example, the weight values of the status items are shown in table 1.
Table 1 electric energy meter calibration status evaluation item and weight
in the state evaluation model of the electric energy meter,
the evaluation standard of the error data of the calibration or period check of the electric energy meter is shown in table 2;
Meter 2 electric energy meter calibration or period checking error data evaluation criterion
The calculation formula of the quantized value of the error data checked during calibration or period of the electric energy meter is as follows,
wherein S is 1 A, quantifying the error data checked for calibration or during calibration of said power meter 1 B is the number of error points whose error is less than 80% of its limit value 1 Is the total number of error data points;
the qualification rate evaluation standard of the error data of the detected electric energy meter is shown in table 3;
table 3 qualification rate evaluation criteria for error data of a test ammeter
The calculation formula of the quantized value of the qualification rate of the error data of the detected electric energy meter is as follows,
wherein S is 2 A is a quantized value of the qualification rate of error data of the detected electric energy meter 2 For the error data of the detected electric energy meter is smaller than the detected electric energyNumber of table error data limits, b 2 Is the total number of error data;
the stability evaluation standard of the error data of the electric energy meter is shown in table 4;
table 4 stability evaluation criteria for error data of electric energy meter under test
Standard deviation s (x) calculating method
s(x)＝|x max -x min I/C, wherein C is a range coefficient, and the relation between the C and the measurement times n of error data of each electric energy meter is shown in table 5;
TABLE 5 very poor coefficient
The calculation formula of the quantized value of the stability of the error data of the detected electric energy meter is as follows,
Wherein S is 3 A is a quantized value of the stability of the error data of the detected electric energy meter 3 B, for the standard deviation of the error data to be smaller than 60% of the error limit value of the detected electric energy meter 3 The total number of the electric energy meters to be detected;
the clock deviation evaluation standard of the electric energy meter is shown in table 6;
clock deviation evaluation standard for meter 6 electric energy meter calibrator
The quantized value of the clock deviation of the current calibrator is,
S 4 =1, when the clock deviation of the electric energy meter is less than or equal to Pmin;
S 4 =1, when the clock deviation of the power meter calibration > Pmin;
in this example, p=5;
the evaluation criteria of the operation reliability are shown in table 7;
TABLE 7 evaluation criteria for operational reliability
The quantized value of the reliability of the operation is calculated by the formula,
wherein S is 5 A is a quantized value of the qualification rate of error data of the detected electric energy meter 5 B, the reliable operation times of the software of the electric energy meter 5 Is the total operation times; the P is a positive number;
the function evaluation standard of the electric energy meter is shown in a table 8;
meter 8 electric energy meter calibration function evaluation standard
The quantitative value calculation formula of the stability of the function is that,
wherein S is 6 A is a quantized value of the stability of the function 6 B, the times of normal operation of each detection item of the electric energy meter calibration software are b 6 Detecting the number of items for the total operation times;
the defect evaluation criteria of the components generated by the same batch of electric energy meter calibration instrument are shown in table 9;
table 9 component defect evaluation criterion for same batch of electric energy meter calibration instrument
The quantitative value calculation formula of the component defects generated by the same batch of electric energy meter calibration instrument is as follows,
wherein S is 7 A, quantifying the defect value of the component, a, of the same batch of electric energy meter 7 The number of the electric energy meter calibration instruments for generating component defects for the electric energy meter calibration instruments in the same batch, b 7 The number of components generated for the electric energy meter calibration instrument in the same batch is the number of components generated for the electric energy meter calibration instrument in the same batch;
the software vulnerability evaluation criteria of the same batch of electric energy meter calibration instruments are shown in table 10;
table 10 software vulnerability evaluation standard for same batch of electric energy meter calibration instrument
The calculation formula of the quantized value of the software bug generated by the electric energy meter calibration instrument in the same batch is as follows,
wherein S is 8 A, quantifying the software bug occurring in the same batch of electric energy meter calibrator 8 B, generating software bug quantity for electric energy meter calibration instrument in same batch 8 Calibrating the number of meters for the batch of electric energy meters;
the three-phase current unbalance degree evaluation criteria are shown in table 11;
TABLE 11 three-phase current imbalance evaluation criteria
The calculation formula of the quantized value of the three-phase current unbalance is as follows,
Wherein S is 9 A is the quantized value of the three-phase current unbalance degree 9 For the number of times of detection of the unbalance degree of the three-phase current of the access loop less than or equal to Q percent and b 9 Is the total detection times; q is a positive number; in this example, q=2;
the three-phase voltage unbalance degree evaluation criteria are shown in table 12;
table 12 three-phase voltage unbalance evaluation criteria
The calculation formula of the quantized value of the three-phase voltage unbalance is as follows,
wherein S is 10 A is the quantized value of the three-phase voltage unbalance degree 10 The unbalanced degree of the three-phase voltage of the access loop is less than or equal to N percent of the sum of detection times and b 10 Is the total detection times; the N is a positive number; in this example, n=2;
the environmental temperature evaluation criteria are shown in table 13;
TABLE 13 environmental temperature evaluation criteria
The calculation formula of the quantized value of the ambient temperature is as follows,
wherein S is 11 A is the quantized value of the ambient temperature 11 To detect the sum of the detection times of the ambient temperature in the (-T-S) DEG C interval, b 11 Is the total detection times; the T and the S are positive numbers; in this example, t=10, s=45;
the environmental relative humidity evaluation criteria are shown in table 14;
TABLE 14 environmental relative humidity evaluation criteria
The calculation formula of the quantized value of the ambient humidity is as follows,
Wherein S is 12 A is the quantized value of the ambient humidity 12 B, detecting the sum of detection times of the relative humidity of the environment to be less than or equal to 90 percent 12 The total number of times of detection.
F＝(S 1 P 1 +S 2 P 2 +S 3 P 3 +S 4 P 4 +S 5 P 5 +S 6 P 6 +S 7 P 7 +S 8 P 8 +S 9 P 9 +S 10 P 10 +S 11 P 11 +S 12 P 12 )*100
and F is a scoring result of the electric energy meter.
table 15 calibrator state judgment basis
Specifically, in this embodiment, a first early warning threshold and a second early warning threshold are set; the first early warning threshold is 30, and the second early warning threshold is 80;
when the obtained scoring result is below a first early warning threshold value, confirming that the electric energy meter calibration instrument has a large error, and alarming to related staff;
when the obtained influence value is between the first early warning threshold value and the second early warning threshold value, the electric energy meter calibration instrument has a certain degree, and the electric energy meter calibration instrument is fed back to relevant staff for paying attention through early warning;
When the obtained influence value is above the second early warning threshold, the electric energy meter calibration error is smaller, the electric energy meter calibration error is more stable, and the electric energy meter calibration device can be normally used.
Fig. 2 is a block diagram of a device for evaluating a state of an electric energy meter according to an embodiment of the present invention. As shown in fig. 2, the apparatus includes:
a parameter acquisition unit 1, wherein one end of the parameter acquisition unit 1 is connected with a state evaluation model unit 2; the parameter acquisition unit 1 is configured to acquire preset parameters, and send the preset parameters to the state evaluation model unit 2;
in this example, the preset parameters include: error data checked during calibration or period of the electric energy meter calibrator, error data of the electric energy meter obtained by detection of the electric energy meter calibrator, error data of each electric energy meter obtained by detection of the electric energy meter calibrator, deviation of a clock of the electric energy meter calibrator and a time service clock/calibration clock, the number of times that the electric energy meter calibrator software does not flash back and crash, the number of times that each detection item of the electric energy meter calibrator software normally operates, fault statistics of the electric energy meter calibrator in the same batch, leak statistics of the electric energy meter calibrator software in the same batch, unbalance of three-phase current of an access loop during each detection, unbalance of three-phase voltage of the access loop during each detection, ambient temperature during detection and ambient relative humidity during detection;
A state evaluation model unit 2, wherein one end of the state evaluation model unit 2 is connected with the parameter acquisition unit 1, and the other end is connected with the score calculation unit 3; the state evaluation unit 2 is used for performing index decomposition on the detection data accuracy, the operation reliability, the potential hidden danger and the detection influence quantity of the electric energy meter, and determining M quantitative state items which can be used for evaluating the state of the electric energy meter; m is a positive integer; the state evaluation model unit 2 is configured to determine weight values and quantization values of the M quantization state items, and send the weight values and quantization values of the M quantization state items to the score calculation unit 3; specifically, m=12 in this example;
a scoring calculation unit 3, wherein one end of the scoring calculation unit 3 is connected with the state evaluation model unit 2, and the other end is connected with the early warning control unit 4; the scoring calculation unit 3 is configured to calculate a scoring result of the electric energy meter according to the weight values and the quantized values of the M quantized state items, and send the scoring result to the early warning control unit 4;
and the early warning control unit 4 performs early warning control on the electric energy meter according to the scoring result and a preset early warning threshold value by the early warning control unit 4.
Further, the state evaluation model unit 2 includes:
an index decomposition module 21, wherein one end of the index decomposition module 21 is connected with the parameter acquisition unit 1, and the other end is respectively connected with the weight determination module 22 and the quantized value calculation module 23; the index decomposition module 21 is configured to perform index decomposition on the accuracy, operational reliability, potential hidden danger and detection influence of the detection data of the electric energy meter, determine M quantization status items that can be used for evaluating the state of the electric energy meter, and send the M quantization status items to the weight determination module 22 and the quantization value calculation module 23;
a weight determination module 22, wherein one end of the weight determination module 22 is connected with the index decomposition module 21, and the other end is connected with the score calculation unit 3; the weight determining module 22 is configured to determine weight values of the M quantization status items, and send the weight values of the M quantization status items to the score calculating unit 3;
a quantized value calculation module 23, wherein one end of the quantized value calculation module 23 is respectively connected with the parameter acquisition unit 1 and the index decomposition module 21, and the other end is connected with the score calculation unit 3; the quantization value calculating module 23 is configured to calculate quantization values of the M quantization status items according to the preset parameter, and send the quantization values of the M quantization status items to the score calculating unit 3.
Further, the accuracy of the detection data comprises the accuracy of error data obtained when the electric energy meter calibrator performs field detection on the electric energy meter, the accuracy of error data obtained when the standard device calibrates or checks the electric energy meter calibrator during the period, and the accuracy of clock deviation of the electric energy meter calibrator;
the operation reliability comprises the reliability of the operation of the electric energy meter and the stability of various functions;
the potential hidden trouble comprises component defects and software loopholes which can cause the loss of functions of the electric energy meter;
the detection influence quantity comprises the environmental conditions when the electric energy meter calibration instrument detects, and the voltage and current index information detected by the electric energy meter calibration instrument in the field detection.
Further, the M quantization status items include: the device comprises an electric energy meter calibrator, error data checked during calibration or period of the electric energy meter calibrator, qualification rate of the error data of the electric energy meter to be checked, stability of the error data of the electric energy meter to be checked, clock deviation of the current calibrator, reliability of operation, stability of functions, defects of components and devices of the electric energy meter calibrator in the same batch, software loopholes of the electric energy meter calibrator in the same batch, three-phase current imbalance, three-phase voltage imbalance, ambient temperature and ambient humidity.
Further, in the state evaluation model of the electric energy meter calibrator, the weight of error data checked during calibration or period of the electric energy meter calibrator is P 1 ；
The qualification rate weight of the error data of the detected electric energy meter is P 2 ；
The stability weight of the error data of the detected electric energy meter is P 3 ；
The clock deviation weight of the current calibrator is P 4 ；
The reliability weight of the operation is P 5 ；
The stability weight of the function is P 6 ；
The defect weight of the components generated by the same-batch electric energy meter calibrator is P 7 ；
The software vulnerability weight generated by the same-batch electric energy meter calibrator is P 8 ；
The weight of the three-phase current unbalance is P 9 ；
The weight of the three-phase voltage unbalance is P 10 ；
The environmental temperature weight is P 11 ；
The weight of the environmental humidity is P 12 ；
Wherein 0 is<P i <1，(i＝1,2，…，12)；
P 1 +P 2 +P 3 +P 4 +P 5 +P 6 +P 7 +P 8 +P 9 +P 10 +P 11 +P 12 ＝1。
In this example, the weight values of the status items are shown in Table 16.
Meter 16 electric energy meter calibration state evaluation item and weight
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the disclosure may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Those skilled in the art will appreciate that the modules in the apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. The modules or units or components of the embodiments may be combined into one module or unit or component and, furthermore, they may be divided into a plurality of sub-modules or sub-units or sub-components. Any combination of all features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or units of any method or apparatus so disclosed, may be used in combination, except insofar as at least some of such features and/or processes or units are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings), may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise. Reference to step numbers in this specification is used solely to distinguish between steps and is not intended to limit the time or logical relationship between steps, including the various possible conditions unless the context clearly indicates otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the disclosure and form different embodiments. For example, any of the embodiments claimed in the claims may be used in any combination.
Various component embodiments of the present disclosure may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. The present disclosure may also be implemented as an apparatus or system program (e.g., a computer program and a computer program product) for performing a portion or all of the methods described herein. Such a program embodying the present disclosure may be stored on a computer readable medium, or may have the form of one or more signals. Such signals may be downloaded from an internet website, provided on a carrier signal, or provided in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the disclosure, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The disclosure may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware.
The foregoing is merely a specific embodiment of the disclosure, and it should be noted that it will be apparent to those skilled in the art that several improvements, modifications, and variations can be made without departing from the spirit of the disclosure, and these improvements, modifications, and variations are to be considered within the scope of the present application.
Claims (5)
1. A method of performing a state evaluation on an electrical energy meter, the method comprising:
acquiring preset parameters;
performing index decomposition on the detection data accuracy, the operation reliability, the potential hidden danger and the detection influence quantity of the electric energy meter calibration instrument to determine M quantitative state items which can be used for evaluating the state of the electric energy meter calibration instrument; m is a positive integer;
determining weight values and quantized values of the M quantized state items according to the preset parameters and a state evaluation model of the electric energy meter, and calculating to obtain a scoring result of the electric energy meter;
the M quantization status items include: the device comprises an electric energy meter calibrator, error data checked during calibration or period of the electric energy meter calibrator, qualification rate of the error data of the electric energy meter to be checked, stability of the error data of the electric energy meter to be checked, clock deviation of the current calibrator, reliability of operation, stability of functions, defects of components and devices of the same batch of electric energy meter calibrator, software holes of the same batch of electric energy meter calibrator, three-phase current imbalance, three-phase voltage imbalance, ambient temperature and ambient humidity;
In the state evaluation model of the electric energy meter calibrator, the weight of error data checked during calibration or period of the electric energy meter calibrator is P 1 ；
The qualification rate weight of the error data of the detected electric energy meter is P 2 ；
The stability weight of the error data of the detected electric energy meter is P 3 ；
The clock deviation weight of the current calibrator is P 4 ；
The reliability weight of the operation is P 5 ；
The stability weight of the function is P 6 ；
The defect weight of the components generated by the same-batch electric energy meter calibrator is P 7 ；
The software vulnerability weight generated by the same-batch electric energy meter calibrator is P 8 ；
The weight of the three-phase current unbalance is P 9 ；
The weight of the three-phase voltage unbalance is P 10 ；
The environmental temperature weight is P 11 ；
The weight of the environmental humidity is P 12 ；
Wherein 0 is<P i <1，(i＝1,2，…，12)；
P 1 +P 2 +P 3 +P 4 +P 5 +P 6 +P 7 +P 8 +P 9 +P 10 +P 11 +P 12 ＝1；
In the state evaluation model of the electric energy meter, the calculation formula of the quantized value of the error data checked during the calibration or period of the electric energy meter is as follows,
wherein S is 1 A, quantifying the error data checked for calibration or during calibration of said power meter 1 B is the number of error points whose error is less than 80% of its limit value 1 Is the total number of error data points;
the calculation formula of the quantized value of the qualification rate of the error data of the detected electric energy meter is as follows,
wherein S is 2 A is a quantized value of the qualification rate of error data of the detected electric energy meter 2 B, in order that the error data of the detected electric energy meter is smaller than the limit quantity of the error data of the detected electric energy meter 2 Is the total number of error data;
the calculation formula of the quantized value of the stability of the error data of the detected electric energy meter is as follows,
wherein S is 3 A is a quantized value of the stability of the error data of the detected electric energy meter 3 B, for the standard deviation of the error data to be smaller than 60% of the error limit value of the detected electric energy meter 3 The total number of the electric energy meters to be detected;
the quantized value of the clock deviation of the current calibrator is,
S 4 =1, when the clock deviation of the electric energy meter is less than or equal to Pmin;
S 4 =1, when the clock deviation of the power meter calibration > Pmin;
the quantized value of the reliability of the operation is calculated by the formula,
wherein S is 5 A is a quantized value of the qualification rate of error data of the detected electric energy meter 5 B, the reliable operation times of the software of the electric energy meter 5 Is the total operation times; the P is a positive number;
the quantitative value calculation formula of the stability of the function is that,
wherein S is 6 A is a quantized value of the stability of the function 6 B, the times of normal operation of each detection item of the electric energy meter calibration software are b 6 Detecting the number of items for the total operation times;
The quantitative value calculation formula of the component defects generated by the same batch of electric energy meter calibration instrument is as follows,
wherein S is 7 A, quantifying the defect value of the component, a, of the same batch of electric energy meter 7 The number of the electric energy meter calibration instruments for generating component defects for the electric energy meter calibration instruments in the same batch, b 7 The number of components generated for the electric energy meter calibration instrument in the same batch is the number of components generated for the electric energy meter calibration instrument in the same batch;
the calculation formula of the quantized value of the software bug generated by the electric energy meter calibration instrument in the same batch is as follows,
wherein S is 8 A, quantifying the software bug occurring in the same batch of electric energy meter calibrator 8 B, generating software bug quantity for electric energy meter calibration instrument in same batch 8 Calibrating the number of meters for the batch of electric energy meters;
the calculation formula of the quantized value of the three-phase current unbalance is as follows,
wherein S is 9 A is the quantized value of the three-phase current unbalance degree 9 For the number of times of detection of the unbalance degree of the three-phase current of the access loop less than or equal to Q percent and b 9 Is the total detection times; q is a positive number;
the calculation formula of the quantized value of the three-phase voltage unbalance is as follows,
wherein S is 10 A is the quantized value of the three-phase voltage unbalance degree 10 The unbalanced degree of the three-phase voltage of the access loop is less than or equal to N percent of the sum of detection times and b 10 Is the total detection times; the N is a positive number;
the calculation formula of the quantized value of the ambient temperature is as follows,
wherein S is 11 A is the quantized value of the ambient temperature 11 To detect the sum of the detection times of the ambient temperature in the (-T-S) DEG C interval, b 11 Is the total detection times; the T and the S are positive numbers;
the calculation formula of the quantized value of the ambient humidity is as follows,
wherein S is 12 A is the quantized value of the ambient humidity 12 B, detecting the sum of detection times of the relative humidity of the environment to be less than or equal to 90 percent 12 Is the total detection times;
the calculation formula for calculating the scoring result of the electric energy meter is as follows:
F＝(S 1 P 1 +S 2 P 2 +S 3 P 3 +S 4 P 4 +S 5 P 5 +S 6 P 6 +S 7 P 7 +S 8 P 8 +S 9 P 9 +S 10 P 10 +S 11 P 11 +S 12 P 12 )*100
wherein F is a scoring result of the electric energy meter;
and carrying out early warning on the electric energy meter according to the scoring result and a preset early warning threshold value.
2. The method according to claim 1, characterized in that:
the accuracy of the detection data comprises the accuracy of error data obtained when the electric energy meter calibrator performs field detection on the electric energy meter, the accuracy of error data obtained when the standard device calibrates or checks the electric energy meter calibrator during the period, and the accuracy of clock deviation of the electric energy meter calibrator;
the operation reliability comprises the reliability of the operation of the electric energy meter and the stability of various functions;
The potential hidden trouble comprises component defects and software loopholes which can cause the loss of functions of the electric energy meter;
the detection influence quantity comprises the environmental conditions when the electric energy meter calibration instrument detects, and the voltage and current index information detected by the electric energy meter calibration instrument in the field detection.
3. An apparatus for performing a status evaluation of an electrical energy meter, the apparatus comprising:
the parameter acquisition unit is connected with the state evaluation model unit at one end; the parameter acquisition unit is used for acquiring preset parameters and sending the preset parameters to the state evaluation model unit;
the state evaluation model unit is connected with the parameter acquisition unit at one end and the score calculation unit at the other end; the state evaluation unit is used for carrying out index decomposition on the accuracy, the operation reliability, the potential hidden danger and the detection influence of the detection data of the electric energy meter, and determining M quantitative state items which can be used for evaluating the state of the electric energy meter; m is a positive integer; the state evaluation model unit is used for determining the weight values and the quantized values of the M quantized state items and sending the weight values and the quantized values of the M quantized state items to the score calculation unit;
The scoring calculation unit is connected with the state evaluation model unit at one end and the early warning control unit at the other end; the scoring calculation unit is used for calculating scoring results of the electric energy meter according to the weight values and the quantized values of the M quantized state items, and sending the scoring results to the early warning control unit;
the M quantization status items include: the device comprises an electric energy meter calibrator, error data checked during calibration or period of the electric energy meter calibrator, qualification rate of the error data of the electric energy meter to be checked, stability of the error data of the electric energy meter to be checked, clock deviation of the current calibrator, reliability of operation, stability of functions, defects of components and devices of the same batch of electric energy meter calibrator, software holes of the same batch of electric energy meter calibrator, three-phase current imbalance, three-phase voltage imbalance, ambient temperature and ambient humidity;
in the state evaluation model of the electric energy meter calibrator, the weight of error data checked during calibration or period of the electric energy meter calibrator is P 1 ；
The qualification rate weight of the error data of the detected electric energy meter is P 2 ；
Error of the detected electric energy meterStability weight of bad data is P 3 ；
The clock deviation weight of the current calibrator is P 4 ；
The reliability weight of the operation is P 5 ；
The stability weight of the function is P 6 ；
The defect weight of the components generated by the same-batch electric energy meter calibrator is P 7 ；
The software vulnerability weight generated by the same-batch electric energy meter calibrator is P 8 ；
The weight of the three-phase current unbalance is P 9 ；
The weight of the three-phase voltage unbalance is P 10 ；
The environmental temperature weight is P 11 ；
The weight of the environmental humidity is P 12 ；
Wherein 0 is<P i <1，(i＝1,2，…，12)；
P 1 +P 2 +P 3 +P 4 +P 5 +P 6 +P 7 +P 8 +P 9 +P 10 +P 11 +P 12 ＝1；
And the early warning control unit performs early warning control on the electric energy meter according to the scoring result and a preset early warning threshold value.
4. The apparatus according to claim 3, wherein the state evaluation model unit includes:
the index decomposition module is connected with the parameter acquisition unit at one end and the weight determination module and the quantized value calculation module at the other end respectively; the index decomposition module is used for carrying out index decomposition on the detection data accuracy, the operation reliability, the potential hidden danger and the detection influence quantity of the electric energy meter, determining M quantitative state items which can be used for evaluating the state of the electric energy meter, and sending the M quantitative state items to the weight determination module and the quantitative value calculation module;
The weight determining module is connected with the index decomposing module at one end and the scoring calculating unit at the other end; the weight determining module is used for determining weight values of the M quantization status items and sending the weight values of the M quantization status items to the scoring calculating unit;
one end of the quantized value calculation module is respectively connected with the parameter acquisition unit and the index decomposition module, and the other end of the quantized value calculation module is connected with the score calculation unit; the quantization value calculation module is used for calculating quantization values of the M quantization state items according to the preset parameters, and sending the quantization values of the M quantization state items to the scoring calculation unit.
5. The apparatus of claim 3, wherein the accuracy of the test data comprises the accuracy of error data obtained when the power meter calibration instrument performs field test on the power meter, the accuracy of error data obtained when the standard device calibrates or checks the power meter calibration instrument during the calibration process, and the accuracy of clock bias of the power meter calibration instrument;
the operation reliability comprises the reliability of the operation of the electric energy meter and the stability of various functions;
The potential hidden trouble comprises component defects and software loopholes which can cause the loss of functions of the electric energy meter;
the detection influence quantity comprises the environmental conditions when the electric energy meter calibration instrument detects, and the voltage and current index information detected by the electric energy meter calibration instrument in the field detection.
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