Calibration system for system parameters of electric energy meter

Abstract

The invention belongs to the technical field of electric energy meter detection, and particularly relates to an electric energy meter system parameter calibration system which comprises a multifunctional standard source unit, a test data acquisition unit, an electric energy meter parameter analysis unit, a self-adaptive calibration execution unit, an intelligent control unit and a touch terminal. The system parameters of the electric energy meter are tested through the multifunctional standard source unit, the electric energy meter parameter analysis unit compares the difference between actual output and expected output, and the system parameters of the electric energy meter are adjusted based on error information, so that the calibration precision and the calibration efficiency of the electric energy meter are remarkably improved; the calibration management performance of the electric energy meter in the detection period is analyzed through the calibration management evaluation unit, the calibration frequency planning analysis is performed through the calibration frequency planning unit when the calibration management qualified signal is generated, and the test calibration frequency of the electric energy meter is subsequently enhanced when the calibration frequency increasing signal is generated; and the operation stability and the operation precision of the electric energy meter are ensured.

Description

Technical Field

[0001] The invention relates to the technical field of electric energy meter detection, in particular to a calibration system for electric energy meter system parameters. Background Art

[0002] The electric energy meter, also known as the watt-hour meter, fire meter, and kilowatt-hour meter, is a meter specifically used to measure the accumulated value of electric energy within a certain period of time. As an important metering device in the power system, its accuracy and stability are directly related to the fairness of power trading and the electricity cost of users. The calibration process of traditional electric energy meters often relies on fixed standards and cumbersome manual operations, which are easily affected by changes in the external environment and material aging. The calibration accuracy and efficiency are not ideal, and it is impossible to accurately analyze the calibration management performance in the historical stage and realize reasonable planning of calibration frequency, which is not conducive to ensuring the operation stability and accuracy of the electric energy meter, and the degree of intelligence is low; In view of the above technical defects, a solution is now proposed. Summary of the invention

[0003] The purpose of the present invention is to provide a calibration system for the system parameters of an electric energy meter, which solves the problems that the prior art has unsatisfactory calibration accuracy and efficiency for electric energy meters, and is unable to accurately analyze the calibration management performance in the historical stage and realize reasonable planning of calibration frequency, which is not conducive to ensuring the operating stability and accuracy of the electric energy meter and has a low degree of intelligence.

[0004] To achieve the above object, the present invention provides the following technical solutions: A calibration system for electric energy meter system parameters, comprising a multifunctional standard source unit, a test data acquisition unit, an electric energy meter parameter analysis unit, an adaptive calibration execution unit, an intelligent control unit and a touch terminal; an operator issues an electric energy meter test instruction through the touch terminal, and the intelligent control unit controls the multifunctional standard source unit to perform an electric energy meter test operation based on the electric energy meter test instruction; The multifunctional standard source unit is used to output standard signals of DC voltage, DC current, AC voltage, AC current and resistance to test the system parameters of the electric energy meter; the test data acquisition unit is connected to the multifunctional standard source unit through the GPIB interface to collect the output data of the electric energy meter during the test, and send the collected data to the electric energy meter parameter analysis unit; The electric energy meter parameter analysis unit analyzes the data collected by the test data acquisition unit, compares the difference between the actual output and the expected output, determines the error information of the electric energy meter system parameters based on this, and sends the error information to the intelligent control unit and the touch terminal; the intelligent control unit generates corresponding calibration instructions based on the error information, and sends the generated calibration instructions to the adaptive calibration execution unit; after receiving the calibration instructions, the adaptive calibration execution unit adjusts the system parameters of the electric energy meter until the preset calibration standards are reached, and sends the calibration result information to the touch terminal.

[0005] Furthermore, the touch terminal is communicatively connected to a calibration management evaluation unit, which is used to set a detection period, analyze the calibration management performance of the electric energy meter during the detection period, generate a calibration management qualified signal or a calibration management abnormality signal through the analysis, and send the calibration management qualified signal or the calibration management abnormality signal to the touch terminal. When the touch terminal receives the calibration management abnormality signal, it issues a corresponding warning.

[0006] Furthermore, the specific analysis process of the calibration management evaluation unit includes: The moment of calibration for the electric energy meter is collected and marked as a characteristic moment, and the interval between two adjacent groups of characteristic moments is marked as a characteristic interval value; the characteristic interval value is numerically compared with a preset characteristic interval threshold, and if the characteristic interval value exceeds the preset characteristic interval threshold, the corresponding characteristic interval value is marked as a characteristic abnormal interval value; The number of characteristic anomaly values ​​within the detection period is obtained and marked as characteristic anomaly detection values, and the mean of all characteristic interval values ​​within the detection period is calculated to obtain the characteristic interval table value. The characteristic anomaly detection value and the characteristic interval table value are numerically compared with the preset characteristic anomaly detection threshold and the preset characteristic interval table threshold respectively. If the characteristic anomaly detection value or the characteristic interval table value exceeds the corresponding preset threshold, a calibration management abnormality signal is generated; if both the characteristic anomaly detection value and the characteristic interval table value do not exceed the corresponding preset threshold, a calibration management qualified signal is generated.

[0007] Furthermore, the calibration management and evaluation unit is communicatively connected to the calibration frequency planning unit, and the calibration management and evaluation unit sends a calibration management qualified signal to the calibration frequency planning unit. When the calibration frequency planning unit receives the calibration management qualified signal, it performs a calibration frequency planning analysis, and generates an increased calibration frequency signal or a calibration frequency qualified signal through analysis, and sends the increased calibration frequency signal or the calibration frequency qualified signal to the touch terminal. When the touch terminal receives the increased calibration frequency signal, it issues a corresponding warning.

[0008] Furthermore, the specific analysis process of the calibration frequency planning analysis is as follows: Obtain all accuracy hidden danger assessment values ​​during the detection period, compare the accuracy hidden danger assessment value with the preset accuracy hidden danger assessment threshold, if the accuracy hidden danger assessment value exceeds the preset accuracy hidden danger assessment threshold, mark the corresponding accuracy hidden danger assessment value as an accuracy hidden danger risk value, obtain the number of accuracy hidden danger risk values ​​during the detection period and mark the ratio of it to the total number of tests performed on the electric energy meter during the detection period as a high hidden danger coefficient; And define the number of times the corresponding system parameter is marked as an emergency adjustment parameter during the detection period and the ratio thereof to the total number of tests on the electric energy meter during the detection period as the emergency adjustment standard frequency value, compare the emergency adjustment standard frequency value with the preset emergency adjustment standard frequency threshold, and if the emergency adjustment standard frequency value exceeds the preset emergency adjustment standard frequency threshold, mark the corresponding system parameter as a variable parameter; obtain the number of variable parameters and mark them as variable detection values, and calculate the average of the emergency adjustment standard frequency values ​​of all system parameters to obtain the emergency adjustment analysis value; The calibration frequency planning coefficient is obtained by numerically calculating the high hidden danger coefficient, the variable detection value and the emergency adjustment analysis value, and the calibration frequency planning coefficient is numerically compared with the preset calibration frequency planning coefficient threshold. If the calibration frequency planning coefficient exceeds the preset calibration frequency planning coefficient threshold, an increase calibration frequency signal is generated; if the calibration frequency planning coefficient does not exceed the preset calibration frequency planning coefficient threshold, a calibration frequency qualified signal is generated.

[0009] Furthermore, the calibration frequency planning unit is communicatively connected to the accuracy hazard assessment unit, and the accuracy hazard assessment unit is communicatively connected to the electric energy meter parameter analysis unit. The electric energy meter parameter analysis unit sends error information of the electric energy meter system parameters to the accuracy hazard assessment unit, and the accuracy hazard assessment unit analyzes the current operating accuracy hazard of the electric energy meter based on the received error information, obtains an accuracy hazard assessment value through analysis, and sends the accuracy hazard assessment value to the calibration frequency planning unit.

[0010] Furthermore, the specific analysis process of the accuracy risk assessment unit is as follows: Obtain error information of the electric energy meter system parameters, compare the error of the corresponding parameter with the corresponding set standard error threshold, and if the error exceeds the corresponding standard error threshold, mark the corresponding parameter as an emergency adjustment parameter; The number of emergency adjustment parameters is obtained and marked as the emergency adjustment detection value, and the error amount of the emergency adjustment parameter compared with the corresponding standard error amount threshold is marked as the error excess value, and the ratio of the error excess value to the corresponding standard error amount threshold is marked as the error risk value; The error risk values ​​of all emergency adjustment parameters are obtained and their average is calculated to obtain the error risk table value, and the error risk value with the largest value is marked as the error risk amplitude; the accuracy risk assessment value is obtained by numerically calculating the emergency adjustment detection value, the error risk table value and the error risk amplitude.

[0011] Further, the accuracy hidden danger assessment unit is communicatively connected to the calibration monitoring feedback unit, the accuracy hidden danger assessment unit sends the accuracy hidden danger assessment value to the calibration monitoring feedback unit, the calibration monitoring feedback unit monitors the calibration process of the adaptive calibration execution unit, marks the moment when the adaptive calibration execution unit receives the corresponding calibration instruction as the first moment, marks the moment when the corresponding calibration operation is completed as the second moment, and marks the interval duration between the first moment and the second moment as the calibration duration; A number of preset accuracy hazard assessment value ranges are set in advance, and each preset accuracy hazard assessment value range corresponds to a set of preset calibration time thresholds; the accuracy hazard assessment value of the current time is compared with all preset accuracy hazard assessment value ranges one by one, and the preset accuracy hazard assessment value range containing the corresponding accuracy hazard assessment value is marked as the optimal range, and the preset calibration time threshold corresponding to the optimal range is marked as the target time threshold; The calibration time of the corresponding calibration process is numerically compared with the corresponding target time threshold. If the calibration time exceeds the corresponding target time threshold, the corresponding calibration process is marked as an inefficient calibration process; if the calibration time does not exceed the corresponding target time threshold, the corresponding calibration process is marked as an efficient calibration process; and the marking information of the corresponding calibration process is sent to the touch terminal.

[0012] Furthermore, the analysis process of the calibration monitoring feedback unit also includes: Obtaining the marking information of all calibration processes within the detection period, calculating the ratio of the number of calibration inefficiency processes to the total number of calibration processes to obtain a calibration inefficiency detection value, comparing the calibration inefficiency detection value with a preset calibration inefficiency detection threshold, and generating a calibration manipulation abnormality signal if the calibration inefficiency detection value exceeds the preset calibration inefficiency detection threshold; If the calibration inefficiency detection value does not exceed the preset calibration inefficiency detection threshold, the ratio of the calibration duration of the corresponding calibration process to the corresponding target duration threshold is marked as the calibration analysis value, and the average value and maximum value of all calibration analysis values ​​in the detection period are marked as the calibration table analysis value and the calibration table amplitude, respectively; The calibration control coefficient is obtained by numerically calculating the calibration inefficiency detection value, the calibration table analysis value and the calibration table amplitude, and the calibration control coefficient is numerically compared with a preset calibration control coefficient threshold. If the calibration control coefficient exceeds the preset calibration control coefficient threshold, a calibration control abnormality signal is generated and sent to the touch terminal.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, by testing the system parameters of the electric energy meter, comparing the difference between the actual output and the expected output, adjusting the system parameters of the electric energy meter based on the error information, significantly improving the calibration accuracy and calibration efficiency of the electric energy meter, and analyzing the calibration management performance of the electric energy meter during the detection period through the calibration management evaluation unit, and performing calibration frequency planning analysis through the calibration frequency planning unit when generating a calibration management qualified signal, and subsequently strengthening the test calibration frequency of the electric energy meter when generating an increase calibration frequency signal, which is conducive to ensuring the operation stability and operation accuracy of the electric energy meter; 2. In the present invention, the error information of the electric energy meter system parameters is sent to the accuracy hidden danger assessment unit through the electric energy meter parameter analysis unit. The accuracy hidden danger assessment unit analyzes the current operating accuracy hidden danger of the electric energy meter based on the received error information, and can accurately feedback the operating performance of the electric energy meter and provide data support for the analysis process of the calibration frequency planning unit. The calibration monitoring feedback unit determines whether the calibration execution efficiency of each calibration operation meets the requirements, and comprehensively evaluates the automatic calibration efficiency status of the adaptive calibration execution unit during the detection period, and timely makes reasonable optimization and improvement measures for the adaptive calibration execution unit to ensure subsequent calibration efficiency, with a high degree of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings; Figure 1 This is a system block diagram of Embodiment 1 of the present invention; Figure 2 This is a system block diagram of Embodiment 2 and Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] Embodiment 1: Figure 1 As shown, the present invention proposes a calibration system for electric energy meter system parameters, comprising a multifunctional standard source unit, a test data acquisition unit, an electric energy meter parameter analysis unit, an adaptive calibration execution unit, an intelligent control unit, a calibration management evaluation unit, a calibration frequency planning unit and a touch terminal; an operator issues an electric energy meter test instruction through the touch terminal, and the intelligent control unit controls the multifunctional standard source unit to perform an electric energy meter test operation based on the electric energy meter test instruction; The multifunctional standard source unit is used to output standard signals of DC voltage, DC current, AC voltage, AC current and resistance to test the system parameters of the electric energy meter. The multifunctional standard source can output signals of various ranges, which correspond to the ranges of various functions of the general electric energy meter to ensure the accuracy of calibration. The test data acquisition unit is connected to the multifunctional standard source unit through a GPIB interface (such as IEEE488 and RS232), collects the output data of the electric energy meter during the test, and sends the collected data to the electric energy meter parameter analysis unit; The electric energy meter parameter analysis unit analyzes the data collected by the test data acquisition unit, compares the difference between the actual output and the expected output, and determines the error information of the electric energy meter system parameters accordingly, and sends the error information to the intelligent control unit and the touch terminal; the intelligent control unit generates a corresponding calibration instruction based on the error information, and sends the generated calibration instruction to the adaptive calibration execution unit; After receiving the calibration instruction, the adaptive calibration execution unit adjusts the system parameters of the electric energy meter until the preset calibration standard is reached, and sends the calibration result information to the touch terminal; through precise signal generation and data acquisition combined with advanced calibration algorithms, the calibration accuracy of the electric energy meter is significantly improved, and the automated calibration process greatly reduces manual intervention, improves calibration efficiency, and can adapt to different types of electric energy meters and different calibration requirements, with wide applicability.

[0017] The calibration management evaluation unit is used to set a detection period, preferably, the detection period is ninety days; analyze the calibration management performance of the electric energy meter during the detection period, generate a calibration management qualified signal or a calibration management abnormal signal through analysis, and send the calibration management qualified signal or the calibration management abnormal signal to the touch terminal. When the touch terminal receives the calibration management abnormal signal, it issues a corresponding warning, and can reasonably analyze and accurately judge the test calibration management performance of the electric energy meter during the detection period, so as to strengthen the calibration supervision of the electric energy meter in time in the future, so as to ensure the operation accuracy and operation stability of the electric energy meter; the specific analysis process of the calibration management evaluation unit is as follows: The moment of calibration for the electric energy meter is collected and marked as a characteristic moment, and the interval between two adjacent groups of characteristic moments is marked as a characteristic interval value; the characteristic interval value is numerically compared with a preset characteristic interval threshold value, and if the characteristic interval value exceeds the preset characteristic interval threshold value, indicating that the corresponding test calibration process is not timely, the corresponding characteristic interval value is marked as a characteristic abnormal interval value; The number of characteristic anomaly values ​​in the detection period is obtained and marked as characteristic anomaly detection values, and the characteristic interval values ​​in the detection period are averaged to obtain characteristic interval table values, and the characteristic anomaly detection values ​​and characteristic interval table values ​​are numerically compared with the preset characteristic anomaly detection threshold and the preset characteristic interval table threshold respectively; If the characteristic abnormal detection value or the characteristic interval meter value exceeds the corresponding preset threshold, it indicates that the management performance of testing and calibration of the electric energy meter during the detection period is poor, and a calibration management abnormality signal is generated; if both the characteristic abnormal detection value and the characteristic interval meter value do not exceed the corresponding preset threshold, it indicates that the management performance of testing and calibration of the electric energy meter during the detection period is good, and a calibration management qualified signal is generated.

[0018] Further, the calibration management evaluation unit sends the calibration management qualified signal to the calibration frequency planning unit, and the calibration frequency planning unit performs calibration frequency planning analysis upon receiving the calibration management qualified signal, generates an increase calibration frequency signal or a calibration frequency qualified signal through analysis, and sends the increase calibration frequency signal or the calibration frequency qualified signal to the touch control terminal; When the touch terminal receives the signal to increase the calibration frequency, it issues a corresponding warning. When receiving the corresponding warning, the test calibration frequency of the electric energy meter is subsequently strengthened to further ensure the operation stability and accuracy of the electric energy meter. The specific analysis process of the calibration frequency planning analysis is as follows: All accuracy hidden danger assessment values ​​within the detection period are obtained, and the accuracy hidden danger assessment value is numerically compared with the preset accuracy hidden danger assessment threshold. If the accuracy hidden danger assessment value exceeds the preset accuracy hidden danger assessment threshold, indicating that the test result shows that the operation performance of the electric energy meter is extremely poor, the corresponding accuracy hidden danger assessment value is marked as an accuracy hidden danger risk value, and the number of accuracy hidden danger risk values ​​within the detection period is obtained and the ratio of the value to the total number of tests on the electric energy meter within the detection period is marked as a high hidden danger coefficient; And define the number of times the corresponding system parameter is marked as an emergency adjustment parameter during the detection period and the ratio thereof to the total number of tests on the electric energy meter during the detection period as the emergency adjustment standard frequency value, compare the emergency adjustment standard frequency value with the preset emergency adjustment standard frequency threshold, and if the emergency adjustment standard frequency value exceeds the preset emergency adjustment standard frequency threshold, mark the corresponding system parameter as a variable parameter; obtain the number of variable parameters and mark them as variable detection values, and calculate the average of the emergency adjustment standard frequency values ​​of all system parameters to obtain the emergency adjustment analysis value; The high hidden danger coefficient XF, the variable detection value TP and the emergency adjustment analysis value WF are numerically calculated by the formula GL=a×XF+e×TP+t×WF to obtain the calibration frequency planning coefficient GL; wherein a, e, and t are preset weight coefficients with values ​​greater than zero, and the larger the value of the calibration frequency planning coefficient GL is, the more it is necessary to increase the test calibration frequency of the electric energy meter in a timely manner; The calibration frequency planning coefficient GL is numerically compared with the preset calibration frequency planning coefficient threshold. If the calibration frequency planning coefficient GL exceeds the preset calibration frequency planning coefficient threshold, it indicates that the test calibration frequency of the electric energy meter needs to be increased in time, and a calibration frequency increase signal is generated; if the calibration frequency planning coefficient GL does not exceed the preset calibration frequency planning coefficient threshold, it indicates that the test calibration frequency of the electric energy meter does not need to be increased in time, and a calibration frequency qualified signal is generated.

[0019] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the calibration frequency planning unit is communicatively connected to the accuracy hidden danger assessment unit, the accuracy hidden danger assessment unit is communicatively connected to the electric energy meter parameter analysis unit, the electric energy meter parameter analysis unit sends the error information of the electric energy meter system parameters to the accuracy hidden danger assessment unit, the accuracy hidden danger assessment unit analyzes the current operation accuracy hidden danger of the electric energy meter based on the received error information, obtains the accuracy hidden danger assessment value QM through analysis, and sends the accuracy hidden danger assessment value QM to the calibration frequency planning unit, which can not only accurately feedback the operation performance of the electric energy meter, but also provide data support for the analysis process of the calibration frequency planning unit, and ensure the accuracy of its analysis results; the specific analysis process of the accuracy hidden danger assessment unit is as follows: Obtain the error information of the electric energy meter system parameters, and compare the error of the corresponding parameter with the corresponding set standard error threshold. It should be noted that the larger the error, the less accurate the corresponding parameter is, and the more timely calibration is required; if the error exceeds the corresponding standard error threshold, the corresponding parameter is marked as an emergency adjustment parameter; The number of emergency adjustment parameters is obtained and marked as the emergency adjustment detection value, and the error amount of the emergency adjustment parameter compared with the corresponding standard error amount threshold is marked as the error excess value, and the ratio of the error excess value to the corresponding standard error amount threshold is marked as the error risk value; The error risk values ​​of all emergency adjustment parameters are obtained and their average is calculated to obtain the error risk table value, and the error risk value with the largest value is marked as the error risk amplitude; the emergency adjustment detection value SY, the error risk table value NX and the error risk amplitude HP are numerically calculated by the formula QM=sq×SY+(ry×NX+mu×HP) / 2 to obtain the accuracy hidden danger assessment value QM; wherein sq, ry, and mu are preset weight coefficients with values ​​greater than zero, and the larger the value of the accuracy hidden danger assessment value QM, the worse the current operating performance of the electric energy meter shown in the test calibration result, and the more unfavorable it is to ensure its operating accuracy and stability.

[0020] Embodiment 3: Figure 2As shown, the difference between this embodiment and the first and second embodiments is that the accuracy hidden danger assessment unit is communicatively connected to the calibration monitoring feedback unit, the accuracy hidden danger assessment unit sends the accuracy hidden danger assessment value to the calibration monitoring feedback unit, the calibration monitoring feedback unit monitors the calibration process of the adaptive calibration execution unit, marks the moment when the adaptive calibration execution unit receives the corresponding calibration instruction as the first moment, marks the moment when the corresponding calibration operation is completed as the second moment, and marks the interval between the first moment and the second moment as the calibration duration; wherein, the larger the value of the calibration duration, the slower the operating efficiency of the automatic calibration operation; Several groups of preset accuracy hidden danger assessment value ranges are set in advance, and each group of preset accuracy hidden danger assessment value ranges corresponds to a group of preset calibration time thresholds; it should be noted that the larger the value of the preset accuracy hidden danger assessment value range is, the larger the value of the preset calibration time threshold that matches it is, and the values ​​of all preset calibration time thresholds are positive numbers; Compare the current accuracy risk assessment value with all preset accuracy risk assessment value ranges one by one, mark the preset accuracy risk assessment value range containing the corresponding accuracy risk assessment value as the optimal range, and mark the preset calibration time threshold corresponding to the optimal range as the target time threshold; The calibration time of the corresponding calibration process is numerically compared with the corresponding target time threshold. If the calibration time exceeds the corresponding target time threshold, it indicates that the operating efficiency of the automatic calibration operation does not meet the requirements, and the corresponding calibration process is marked as an inefficient calibration process; if the calibration time does not exceed the corresponding target time threshold, it indicates that the operating efficiency of the automatic calibration operation meets the requirements, and the corresponding calibration process is marked as an efficient calibration process; and the marking information of the corresponding calibration process is sent to the touch terminal, which is conducive to the management personnel to grasp the calibration execution efficiency performance of the adaptive calibration execution unit in detail.

[0021] Furthermore, the analysis process of the calibration monitoring feedback unit also includes: obtaining the marking information of all calibration processes within the detection period, calculating the ratio of the number of calibration inefficiency processes to the total number of calibration processes to obtain a calibration inefficiency detection value, comparing the calibration inefficiency detection value with a preset calibration inefficiency detection threshold, and if the calibration inefficiency detection value exceeds the preset calibration inefficiency detection threshold, indicating that the automatic calibration efficiency of the adaptive calibration execution unit is poor within the detection period, then generating a calibration control abnormality signal; If the calibration inefficiency detection value does not exceed the preset calibration inefficiency detection threshold, the ratio of the calibration duration of the corresponding calibration process to the corresponding target duration threshold is marked as the calibration analysis value, and the average value and maximum value of all calibration analysis values ​​in the detection period are marked as the calibration table analysis value and the calibration table amplitude, respectively; The calibration inefficiency detection value QY, the calibration table analysis value WK and the calibration table amplitude TR are numerically calculated by the formula YX=uy×QY+(sg×WK+wq×TR) / 2 to obtain the calibration control coefficient YX; wherein uy, sg, and wq are preset proportional coefficients with values ​​greater than zero, and the larger the value of the calibration control coefficient YX, the worse the automatic calibration efficiency of the adaptive calibration execution unit during the detection period is overall; The calibration control coefficient YX is numerically compared with the preset calibration control coefficient threshold. If the calibration control coefficient YX exceeds the preset calibration control coefficient threshold, it indicates that the automatic calibration efficiency of the adaptive calibration execution unit during the detection period is generally poor, and a calibration control abnormality signal is generated; and the calibration control abnormality signal is sent to the touch terminal. When the touch terminal receives the calibration control abnormality signal, a corresponding early warning is issued to remind the management personnel to conduct a timely investigation and analysis of the cause and make reasonable optimization and improvement measures for the adaptive calibration execution unit to ensure the subsequent calibration efficiency.

[0022] The working principle of the present invention is as follows: when in use, the intelligent control unit controls the multifunctional standard source unit to perform the electric energy meter test operation based on the electric energy meter test instruction, the multifunctional standard source unit tests the electric energy meter system parameters, the test data acquisition unit acquires the output data of the electric energy meter during the test, the electric energy meter parameter analysis unit compares the difference between the actual output and the expected output, and determines the error information of the electric energy meter system parameters accordingly, the intelligent control unit generates the corresponding calibration instruction based on the error information, the adaptive calibration execution unit adjusts the system parameters of the electric energy meter based on the calibration instruction, and the calibration accuracy and efficiency of the electric energy meter are significantly improved, and the calibration management performance of the electric energy meter during the detection period is analyzed by the calibration management evaluation unit, and the calibration frequency planning analysis is performed by the calibration frequency planning unit when the calibration management qualified signal is generated, and the test calibration frequency of the electric energy meter is subsequently strengthened when the calibration frequency increase signal is generated, which is beneficial to ensure the operation stability and operation accuracy of the electric energy meter.

[0023] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A calibration system for electric energy meter system parameters, characterized in that: It includes a multifunctional standard source unit, a test data acquisition unit, an electric energy meter parameter analysis unit, an adaptive calibration execution unit, an intelligent control unit and a touch terminal; the operator issues an electric energy meter test instruction through the touch terminal, and the intelligent control unit controls the multifunctional standard source unit to perform the electric energy meter test operation based on the electric energy meter test instruction; The multifunctional standard source unit is used to output standard signals of DC voltage, DC current, AC voltage, AC current and resistance to test the system parameters of the electric energy meter; the test data acquisition unit is connected to the multifunctional standard source unit through the GPIB interface to collect the output data of the electric energy meter during the test, and send the collected data to the electric energy meter parameter analysis unit; The electric energy meter parameter analysis unit analyzes the data collected by the test data acquisition unit, compares the difference between the actual output and the expected output, and determines the error information of the electric energy meter system parameters accordingly, and sends the error information to the intelligent control unit and the touch terminal; the intelligent control unit generates a corresponding calibration instruction based on the error information, and sends the generated calibration instruction to the adaptive calibration execution unit; After receiving the calibration instruction, the adaptive calibration execution unit adjusts the system parameters of the electric energy meter until the preset calibration standard is reached, and sends the calibration result information to the touch terminal.

2. The calibration system for electric energy meter system parameters according to claim 1, characterized in that: The touch terminal is communicatively connected to the calibration management evaluation unit, which is used to set a detection period, analyze the calibration management performance of the electric energy meter during the detection period, generate a calibration management qualified signal or a calibration management abnormal signal through the analysis, and send the calibration management qualified signal or the calibration management abnormal signal to the touch terminal. When the touch terminal receives the calibration management abnormal signal, it issues a corresponding warning.

3. The calibration system for electric energy meter system parameters according to claim 2, characterized in that: The specific analysis process of the calibration management assessment unit includes: The moment of calibration for the electric energy meter is collected and marked as a characteristic moment, and the interval between two adjacent groups of characteristic moments is marked as a characteristic interval value; the characteristic interval value is numerically compared with a preset characteristic interval threshold, and if the characteristic interval value exceeds the preset characteristic interval threshold, the corresponding characteristic interval value is marked as a characteristic abnormal interval value; The number of characteristic anomaly values ​​within the detection period is obtained and marked as characteristic anomaly detection values, and the mean of all characteristic interval values ​​within the detection period is calculated to obtain the characteristic interval table value. If the characteristic anomaly detection value or the characteristic interval table value exceeds the corresponding preset threshold, a calibration management abnormality signal is generated; if both the characteristic anomaly detection value and the characteristic interval table value do not exceed the corresponding preset threshold, a calibration management qualified signal is generated.

4. The calibration system for electric energy meter system parameters according to claim 2, characterized in that: The calibration management and evaluation unit is communicatively connected to the calibration frequency planning unit. The calibration management and evaluation unit sends a calibration management qualified signal to the calibration frequency planning unit. When the calibration frequency planning unit receives the calibration management qualified signal, it performs a calibration frequency planning analysis to generate an increased calibration frequency signal or a calibration frequency qualified signal through analysis, and sends the increased calibration frequency signal or the calibration frequency qualified signal to the touch terminal. When the touch terminal receives the increased calibration frequency signal, it issues a corresponding warning.

5. The calibration system for electric energy meter system parameters according to claim 4, characterized in that: The specific analysis process of calibration frequency planning analysis is as follows: Obtain all accuracy hidden danger assessment values ​​during the detection period, compare the accuracy hidden danger assessment value with the preset accuracy hidden danger assessment threshold, if the accuracy hidden danger assessment value exceeds the preset accuracy hidden danger assessment threshold, mark the corresponding accuracy hidden danger assessment value as an accuracy hidden danger risk value, obtain the number of accuracy hidden danger risk values ​​during the detection period and mark the ratio of it to the total number of tests performed on the electric energy meter during the detection period as a high hidden danger coefficient; And define the number of times the corresponding system parameter is marked as an emergency adjustment parameter during the detection period and the ratio thereof to the total number of tests on the electric energy meter during the detection period as the emergency adjustment standard frequency value; if the emergency adjustment standard frequency value exceeds the preset emergency adjustment standard frequency threshold, the corresponding system parameter is marked as a variable parameter; the number of variable parameters is obtained and marked as a variable detection value, and the emergency adjustment standard frequency values ​​of all system parameters are averaged to obtain an emergency adjustment analysis value; The calibration frequency planning coefficient is obtained by numerically calculating the high hidden danger coefficient, the variable detection value and the emergency adjustment analysis value. If the calibration frequency planning coefficient exceeds a preset calibration frequency planning coefficient threshold, a calibration frequency increase signal is generated. If the calibration frequency planning coefficient does not exceed the preset calibration frequency planning coefficient threshold, a calibration frequency qualified signal is generated.

6. The calibration system for electric energy meter system parameters according to claim 4, characterized in that: The calibration frequency planning unit is communicatively connected to the accuracy hazard assessment unit, and the accuracy hazard assessment unit is communicatively connected to the electric energy meter parameter analysis unit. The electric energy meter parameter analysis unit sends error information of the electric energy meter system parameters to the accuracy hazard assessment unit, and the accuracy hazard assessment unit analyzes the current operating accuracy hazard of the electric energy meter based on the received error information, obtains an accuracy hazard assessment value through analysis, and sends the accuracy hazard assessment value to the calibration frequency planning unit.

7. The calibration system for electric energy meter system parameters according to claim 6, characterized in that: The specific analysis process of the accuracy risk assessment unit is as follows: Obtain error information of the electric energy meter system parameters. If the error exceeds the corresponding standard error threshold, mark the corresponding parameter as an emergency adjustment parameter; obtain the number of emergency adjustment parameters and mark it as an emergency adjustment detection value, and mark the excess value of the error of the emergency adjustment parameter compared to the corresponding standard error threshold as an error excess value, and mark the ratio of the error excess value to the corresponding standard error threshold as an error risk value; Obtain the error risk values ​​of all emergency adjustment parameters and calculate their average to obtain the error risk table value, and mark the error risk value with the largest value as the error risk amplitude; The accuracy risk assessment value is obtained by numerically calculating the emergency detection value, error risk table value and error risk amplitude.

8. The calibration system for electric energy meter system parameters according to claim 6, characterized in that: The accuracy hidden danger assessment unit is communicatively connected to the calibration monitoring feedback unit, and the accuracy hidden danger assessment unit sends the accuracy hidden danger assessment value to the calibration monitoring feedback unit. The calibration monitoring feedback unit monitors the calibration process of the adaptive calibration execution unit, compares the accuracy hidden danger assessment value of the time with all preset accuracy hidden danger assessment value ranges one by one, and marks the preset accuracy hidden danger assessment value range containing the corresponding accuracy hidden danger assessment value as the optimal range, and marks the preset calibration time threshold corresponding to the optimal range as the target time threshold; The calibration time of the corresponding calibration process is numerically compared with the corresponding target time threshold. If the calibration time exceeds the corresponding target time threshold, the corresponding calibration process is marked as an inefficient calibration process. If the calibration duration does not exceed the corresponding target duration threshold, the corresponding calibration process is marked as a calibration efficient process; And the marking information of the corresponding calibration process is sent to the touch terminal.

9. The calibration system for electric energy meter system parameters according to claim 8, characterized in that: The analysis process of the calibration monitoring feedback unit also includes: The marking information of all calibration processes within the detection period is obtained. If the calibration inefficiency detection value exceeds the preset calibration inefficiency detection threshold, a calibration manipulation abnormality signal is generated; if the calibration inefficiency detection value does not exceed the preset calibration inefficiency detection threshold, the calibration manipulation coefficient is obtained by numerically calculating the calibration inefficiency detection value, the calibration table analysis value and the calibration table amplitude. If the calibration manipulation coefficient exceeds the preset calibration manipulation coefficient threshold, a calibration manipulation abnormality signal is generated and sent to the touch terminal.

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