A high-precision measurement method and system for an electric energy meter

Abstract

The present invention discloses a high-precision measurement method and system for an electric energy meter, and relates to the technical field of electric energy meter precision measurement. The high-precision measurement method for the electric energy meter comprises the following steps: precision assessment data acquisition, load adaptation assessment judgment, load optimization assessment judgment, and environmental adaptation assessment judgment. The present invention evaluates the load adaptability of the electric energy meter to determine whether to perform the load adaptability optimization of the electric energy meter, then evaluates the effect of the load adaptability optimization of the electric energy meter, and determines whether to perform the environmental adaptability evaluation of the electric energy meter, and finally obtains the environmental accuracy evaluation index of the electric energy meter after performing the environmental adaptability evaluation of the electric energy meter, and determines whether to perform the calibration self-repair optimization of the electric energy meter based on the load accuracy evaluation index of the electric energy meter and the load optimization index of the electric energy meter, thereby achieving the effect of improving the stability of the electric energy meter precision measurement process, and solving the problem of low stability of the electric energy meter precision measurement process in the prior art.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electric energy meter precision measurement, and in particular to a high-precision measurement method and system for an electric energy meter. BACKGROUND

[0002] With the rapid development of industrialization, efficient use and accurate measurement of energy have become particularly important in various fields. Especially in industrial production, electric energy as an important energy source, its consumption directly affects the production cost and energy utilization efficiency. In order to realize the accurate monitoring and optimized management of energy, the high-precision measurement method of electric energy meter becomes the key to research and application. The high-precision electric energy meter measurement for industrial electricity is not only a basic technology of electric energy measurement, but also a key tool to promote intelligent manufacturing, energy saving and emission reduction, and optimize energy use.

[0003] The existing high-precision electric energy meter measurement is usually realized by combining computer control and data acquisition system. Specifically, the voltage, current and load conditions are adjusted through an automatic control system, and the readings and errors of the electric energy meter are recorded in real time through a data acquisition system for data analysis and error correction. In addition, data transmission and remote monitoring can be realized through an intelligent system, so as to realize remote calibration and adjustment of the electric energy meter, and further realize comprehensive measurement and verification of the precision of the electric energy meter, so as to ensure its accuracy and reliability.

[0004] For example, the patent application with the publication number CN115902758A discloses a field measurement precision inspection method, system, device and medium for an electric energy meter, which includes installing a standard electric energy meter, placing the standard electric energy meter in the measured field, collecting the measurement data of the standard electric energy meter and the measurement data of the measured electric energy meter, selecting a time interval to accumulate and calculate the accumulated electric energy from the measurement data, calculating the relative error of the accumulated electric energy, and determining the stability according to the relative error analysis result.

[0005] For example, the invention patent with the publication number CN113447881B discloses a measurement method, device and terminal equipment for an intelligent electric energy meter, which includes calculating the error value of a first electric energy meter and a second electric energy meter according to the measurement values of the first electric energy meter and the second electric energy meter under multiple temperature and humidity conditions; obtaining a temperature-error fitting curve corresponding to each humidity range according to the error value of the first electric energy meter and the second electric energy meter; obtaining the real-time measurement value, temperature value and humidity value of the first electric energy meter; determining the target error value corresponding to the temperature value in the temperature-error fitting curve corresponding to the target humidity range according to the humidity value and the temperature value, and determining the target measurement value according to the real-time measurement value and the target error value.

[0006] However, in the process of implementing the technical scheme of the present application, the present application finds that the above-mentioned technology at least has the following technical problems:

[0007] In the industrial field, especially in large factories, mining areas and other places with high energy consumption, the electric energy meter needs to monitor the power consumption of equipment and machines with high precision to ensure energy efficiency management and power consumption control. However, in the industrial production process, the current load changes dramatically, and industrial electrical equipment may have periodic high-load operation or no-load operation, especially when the load is light (such as standby or low-speed running equipment), the measurement error is easy to increase.

[0008] In addition, it also needs to be considered that the harmonic interference generated by industrial equipment (such as frequency converters, motors, etc.) will distort the measurement of the electric energy meter, and at the same time, due to the complex environment of industrial electricity, it also challenges the measurement stability of the electric energy meter, and there is a problem of low stability of the precision measurement process of the electric energy meter. SUMMARY

[0009] The embodiments of the present application provide a high-precision measurement method and system for an electric energy meter, which solves the problem of low stability of the precision measurement process of the electric energy meter in the prior art, and improves the stability of the precision measurement process of the electric energy meter.

[0010] The embodiments of the present application provide a high-precision measurement method for an electric energy meter, comprising the following steps: S1, pre-processing the obtained electric energy meter precision measurement data to obtain precision evaluation data, the precision evaluation data comprising precision evaluation load data and precision evaluation electric energy meter data; S2, evaluating the load adaptability of the electric energy meter according to the precision evaluation data to obtain an electric energy meter load precision evaluation index, and judging whether to perform electric energy meter load adaptability optimization based on the electric energy meter load precision evaluation index, the electric energy meter load precision evaluation index being used for quantitatively evaluating the load adaptability of the electric energy meter; S3, after performing the electric energy meter load adaptability optimization, evaluating the effect of the electric energy meter load adaptability optimization to obtain an electric energy meter load optimization index, and judging whether to perform electric energy meter environment adaptability evaluation based on the electric energy meter load optimization evaluation index, the electric energy meter load optimization index being used for quantitatively evaluating the effect of the electric energy meter load adaptability optimization; S4, obtaining an electric energy meter environment precision evaluation index after performing the electric energy meter environment adaptability evaluation, and judging whether to perform electric energy meter calibration self-repair optimization according to the electric energy meter load precision evaluation index and the electric energy meter load optimization index, the electric energy meter environment precision evaluation index being used for quantitatively evaluating the environment adaptability of the electric energy meter.

[0011] Further, the specific steps of obtaining the load precision evaluation index of the electric energy meter according to the precision evaluation data and the load adaptability of the electric energy meter are as follows: obtaining load precision evaluation related values in a preset time interval, the load precision evaluation related values including a load instantaneous power value, an average load power value, a load power maximum value, a load power minimum value, an electric energy meter power change rate, a load fluctuation frequency, and an electric energy meter fluctuation response time; and combining the load precision evaluation related values with load precision evaluation reference values obtained from a preset database to obtain the load precision evaluation index of the electric energy meter, the load precision evaluation reference values including a load stability evaluation weight, a load response evaluation weight, a load adaptability evaluation weight, a reference load fluctuation minimum value, and a reference load power deviation.

[0012] Further, the method of obtaining the load precision evaluation index of the electric energy meter is as follows:

[0013]

[0014] In the formula, DF represents the load precision evaluation index of the electric energy meter, represents the load stability evaluation weight, represents the load response evaluation weight, represents the load adaptability evaluation weight, t represents the number of a preset time in a preset time interval, t = 1, 2,..., T, and T represents the total number of the preset times in the preset time interval, represents the load instantaneous power value of the tth preset time in the preset time interval, represents the average load power value in the preset time interval, represents the reference load fluctuation minimum value, represents the load power maximum value in the preset time interval, represents the load power minimum value in the preset time interval, represents the reference load power deviation, represents the load fluctuation frequency in the preset time interval, represents the electric energy meter fluctuation response time in the preset time interval, represents the electric energy meter power change rate in the preset time interval.

[0015] Further, the specific steps of judging whether to perform the power meter load adaptability optimization based on the power meter load precision evaluation index are as follows: comparing the power meter load precision evaluation index with a preset load precision threshold range obtained from a preset database; if the power meter load precision evaluation index is within the preset load precision threshold range, the power meter load adaptability optimization is not performed, and the precision evaluation data and the power meter load precision evaluation index are uploaded to the cloud storage; if the power meter load precision evaluation index exceeds the preset load precision threshold range, the power meter load adaptability optimization is performed, and the effect of the power meter load adaptability optimization is evaluated to obtain a power meter load optimization index.

[0016] Further, the specific steps of the power meter load adaptability optimization are as follows: A1, performing adaptive filtering optimization on the power meter, judging whether the monitored power meter load precision evaluation index is within the preset load precision threshold range, if yes, stopping the power meter load adaptability optimization, otherwise performing A2; A2, performing dynamic load compensation optimization on the power meter, judging whether the monitored power meter load precision evaluation index is within the preset load precision threshold range, if yes, stopping the power meter load adaptability optimization, otherwise performing A3; A3, performing power factor adjustment and frequency response optimization on the power meter, and evaluating the effect of the power meter load adaptability optimization to obtain a power meter load optimization index.

[0017] Further, the specific steps of evaluating the effect of the power meter load adaptability optimization to obtain the power meter load optimization index are as follows: obtaining a power meter load to-be-optimized error and a to-be-optimized power meter load precision evaluation index before the power meter load adaptability optimization is performed; obtaining a corresponding power meter load optimized error and an optimized power meter load precision evaluation index after the power meter load adaptability optimization is performed; combining the power meter load to-be-optimized error, the to-be-optimized power meter load precision evaluation index, the power meter load optimized error, and the optimized power meter load precision evaluation index with a load error optimization evaluation weight and a load precision optimization evaluation weight obtained from a preset database to obtain the power meter load optimization index.

[0018] Further, the specific steps of judging whether to perform the power meter environment adaptability evaluation based on the power meter load optimization evaluation index are as follows: comparing the power meter load optimization index with a preset load optimization threshold range obtained from a preset database; if the power meter load optimization index is within the preset load optimization threshold range, the power meter environment adaptability evaluation is performed, and a power meter environment precision evaluation index after the power meter environment adaptability evaluation is performed is obtained; if the power meter load optimization index exceeds the preset load optimization threshold range, the power meter environment adaptability evaluation is not performed, and a preset personnel is reminded to perform power meter load adaptability calibration self-repair optimization.

[0019] Further, the specific steps of obtaining the electric energy meter environment precision evaluation index after the electric energy meter environment adaptability evaluation are as follows: obtaining the electric energy meter environment precision measurement value and the electric energy meter environment precision correction value in a preset time interval to be evaluated, the electric energy meter environment precision measurement value including the electric energy meter environment temperature measurement maximum value, the electric energy meter environment humidity measurement maximum value, and the electric energy meter environment voltage measurement maximum value, and the electric energy meter environment precision correction value including the electric energy meter environment temperature minimum correction error, the electric energy meter self-consumption maximum correction power, the electric energy meter environment humidity minimum correction error, and the electric energy meter environment voltage minimum correction error; obtaining the electric energy meter environment precision evaluation index according to the electric energy meter environment precision measurement value and the electric energy meter environment precision correction value in combination with the environment evaluation reference data obtained from the preset database; the environment evaluation reference data including the environment precision measurement reference value, the environment precision benchmark reference value, and the environment precision evaluation weight; the environment precision measurement reference value including the electric energy meter environment standard temperature, the electric energy meter environment standard humidity, and the electric energy meter environment standard voltage; the environment precision benchmark reference value including the electric energy meter environment temperature reference error, the electric energy meter environment humidity reference error, and the electric energy meter environment voltage reference error; and the environment precision evaluation weight including the environment temperature evaluation weight, the environment humidity evaluation weight, and the environment voltage evaluation weight.

[0020] The embodiment of the present application provides a high-precision measurement system of an electric energy meter, which comprises a precision evaluation data acquisition module, a load adaptability evaluation judgment module, a load optimization evaluation judgment module, and an environment adaptability evaluation judgment module. The precision evaluation data acquisition module is used for preprocessing the obtained electric energy meter precision measurement data to obtain precision evaluation data, wherein the precision evaluation data comprises precision evaluation load data and precision evaluation electric energy meter data. The load adaptability evaluation judgment module is used for evaluating the load adaptability of the electric energy meter according to the precision evaluation data to obtain an electric energy meter load precision evaluation index, and judging whether to perform electric energy meter load adaptability optimization based on the electric energy meter load precision evaluation index. The electric energy meter load precision evaluation index is used for quantitatively evaluating the load adaptability of the electric energy meter. The load optimization evaluation judgment module is used for evaluating the effect of electric energy meter load adaptability optimization after the electric energy meter load adaptability optimization is performed to obtain an electric energy meter load optimization index, and judging whether to perform electric energy meter environment adaptability evaluation based on the electric energy meter load optimization evaluation index. The electric energy meter load optimization index is used for quantitatively evaluating the effect of electric energy meter load adaptability optimization. The environment adaptability evaluation judgment module is used for obtaining an electric energy meter environment precision evaluation index after the electric energy meter environment adaptability evaluation is performed, and judging whether to perform electric energy meter calibration self-repair optimization according to the electric energy meter load precision evaluation index and the electric energy meter load optimization index. The electric energy meter environment precision evaluation index is used for quantitatively evaluating the environment adaptability of the electric energy meter.

[0021] The one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0022] 1. By evaluating the load adaptability of the electric energy meter to determine whether to perform electric energy meter load adaptability optimization, then evaluating the effect of electric energy meter load adaptability optimization to determine whether to perform electric energy meter environment adaptability evaluation, and finally obtaining the electric energy meter environment precision evaluation index after performing electric energy meter environment adaptability evaluation to determine whether to perform electric energy meter calibration self-repair optimization, the load adaptability and environment adaptability of the electric energy meter are evaluated and optimized, and the precision measurement process stability of the electric energy meter is improved, effectively solving the problem of low precision measurement process stability of the electric energy meter in the prior art.

[0023] 2. By obtaining the load precision evaluation related value in the preset time interval, and combining the load precision evaluation related value with the load precision evaluation reference value obtained from the preset database to obtain the electric energy meter load precision evaluation index, the numerical evaluation of the load adaptability of the electric energy meter is realized, and more accurate evaluation of the load adaptability of the electric energy meter is realized.

[0024] 3. By obtaining the electric energy meter environment precision measurement value and the electric energy meter environment precision correction value in the preset time interval to be evaluated, and then combining the electric energy meter environment precision measurement value and the electric energy meter environment precision correction value with the environment evaluation reference data obtained from the preset database to obtain the electric energy meter environment precision evaluation index, the numerical evaluation of the environment adaptability of the electric energy meter is realized, and more accurate evaluation of the environment adaptability of the electric energy meter is realized. BRIEF DESCRIPTION OF DRAWINGS

[0025] Figure 1 A flowchart of a high-precision measurement method of an electric energy meter provided by the embodiments of the present application is shown in the figure.

[0026] Figure 2 is a variation diagram of the electric energy meter environment precision evaluation index provided by the embodiments of the present application, wherein Figure 2(a) is a variation diagram of the electric energy meter environment precision evaluation index with the maximum correction power of the electric energy meter self-consumption, and Figure 2(b) is a variation diagram of the electric energy meter environment precision evaluation index with the minimum correction error of the electric energy meter environment temperature.

[0027] Figure 3 A structural diagram of a high-precision measurement system of an electric energy meter provided by the embodiments of the present application is shown in the figure. DETAILED DESCRIPTION

[0028] The embodiment of the application provides a high-precision measurement method and system of an electric energy meter, solves the problem of low stability of the precision measurement process of the electric energy meter in the prior art, obtains precision evaluation data by preprocessing the obtained electric energy meter precision measurement data, then evaluates the load adaptability of the electric energy meter according to the precision evaluation data to obtain an electric energy meter load precision evaluation index, judges whether to execute electric energy meter load adaptability optimization based on the electric energy meter load precision evaluation index, then evaluates the effect of the electric energy meter load adaptability optimization to obtain an electric energy meter load optimization index and judges whether to execute electric energy meter environment adaptability evaluation, finally obtains an electric energy meter environment precision evaluation index after executing the electric energy meter environment adaptability evaluation, judges whether to execute electric energy meter calibration self-repair optimization according to the electric energy meter load precision evaluation index and the electric energy meter load optimization index, and the stability of the precision measurement process of the electric energy meter is improved.

[0029] The technical scheme in the embodiment of the application is used for solving the problem of low stability of the precision measurement process of the electric energy meter, and the general idea is as follows:

[0030] The load adaptability of the electric energy meter is evaluated to judge whether to execute electric energy meter load adaptability optimization, then the effect of the electric energy meter load adaptability optimization is evaluated and it is judged whether to execute electric energy meter environment adaptability evaluation, finally the electric energy meter environment precision evaluation index after executing the electric energy meter environment adaptability evaluation is obtained, and it is judged whether to execute electric energy meter calibration self-repair optimization, so that the stability of the precision measurement process of the electric energy meter is improved.

[0031] In order to better understand the above technical scheme, the above technical scheme will be described in detail in combination with the drawings of the specification and specific embodiments.

[0032] As Figure 1As shown, a flowchart of a high-precision measurement method of an electric energy meter provided by the embodiment of the application is provided, and the method comprises the following steps: S1, pre-processing acquired electric energy meter precision measurement data to obtain precision evaluation data, the precision evaluation data comprising precision evaluation load data and precision evaluation electric energy meter data; S2, evaluating the load adaptability of the electric energy meter according to the precision evaluation data to obtain an electric energy meter load precision evaluation index, and determining whether to perform electric energy meter load adaptability optimization based on the electric energy meter load precision evaluation index, the electric energy meter load precision evaluation index being used to quantitatively evaluate the load adaptability of the electric energy meter; S3, evaluating the effect of electric energy meter load adaptability optimization after the electric energy meter load adaptability optimization is performed to obtain an electric energy meter load optimization index, and determining whether to perform electric energy meter environment adaptability evaluation based on the electric energy meter load optimization evaluation index, the electric energy meter load optimization index being used to quantitatively evaluate the effect of electric energy meter load adaptability optimization; and S4, acquiring an electric energy meter environment precision evaluation index after the electric energy meter environment adaptability evaluation is performed, and determining whether to perform electric energy meter calibration self-repair optimization according to the electric energy meter load precision evaluation index and the electric energy meter load optimization index, the electric energy meter environment precision evaluation index being used to quantitatively evaluate the environment adaptability of the electric energy meter.

[0033] In the embodiment, the precision evaluation load data comprises precision evaluation load power and load fluctuation frequency; specifically, the precision evaluation load power is acquired by the smart meter, and is used to describe the load power in the electric energy meter precision evaluation process; and the load fluctuation frequency is acquired by frequency analysis data such as an oscilloscope.

[0034] The precision evaluation electric energy meter data comprises electric energy meter fluctuation response time and electric energy meter power change rate; specifically, the electric energy meter fluctuation response time is acquired by the smart meter, and the electric energy meter power change rate is acquired by deriving the precision evaluation load power with respect to time.

[0035] It should be understood that the pre-processing comprises data cleaning and data smoothing; the data cleaning is used to identify missing values by a visualization tool (such as a heat map) and fill the missing values by an interpolation method, such as a mean value interpolation method to calculate the mean value of a column containing missing values and replace the missing values in the column with the mean value; and the data smoothing is used to smooth the electric energy meter precision measurement data by a simple moving average.

[0036] The acquired electric energy meter precision measurement data is pre-processed, thereby improving the reliability of the electric energy meter precision measurement process data and further improving the accuracy of the load adaptability evaluation in the electric energy meter precision measurement.

[0037] Further, the specific steps of evaluating the load adaptability of the electric energy meter according to the precision evaluation data to obtain the electric energy meter load precision evaluation index are as follows: obtaining load precision evaluation related values in a preset time interval, the load precision evaluation related values including a load instantaneous power value, an average load power value, a load power maximum value, a load power minimum value, an electric energy meter power change rate, a load fluctuation frequency, and an electric energy meter fluctuation response time; combining the load precision evaluation related values with load precision evaluation reference values obtained from a preset database to obtain the electric energy meter load precision evaluation index, the load precision evaluation reference values including a load stability evaluation weight, a load response evaluation weight, a load adaptability evaluation weight, a reference load fluctuation minimum value, and a reference load power deviation.

[0038] The method for obtaining the electric energy meter load precision evaluation index is as follows:

[0039]

[0040] In the formula, denotes the electric energy meter load precision evaluation index, denotes the load stability evaluation weight, denotes the load response evaluation weight, denotes the load adaptability evaluation weight, denotes the number of preset time points in a preset time interval, , denotes the total number of preset time points in a preset time interval, denotes the load instantaneous power value of the tth preset time point in a preset time interval, denotes the average load power value in a preset time interval, denotes the reference load fluctuation minimum value, denotes the load power maximum value in a preset time interval, denotes the load power minimum value in a preset time interval, denotes the reference load power deviation, denotes the load fluctuation frequency in a preset time interval, denotes the electric energy meter fluctuation response time in a preset time interval, denotes the electric energy meter power change rate in a preset time interval.

[0041] In the embodiment, the average load power value is obtained by a statistical toolbox (such as mean(data)) in MATLAB, and the load power maximum value and the load power minimum value are obtained by a statistical toolbox (such as max(data) and min(data)) in MATLAB.

[0042] The reference load fluctuation minimum value is represented by the minimum value of the collected historical load fluctuation, i.e., the integral value of the square of the difference between the average load power in a preset time interval and the corresponding average load power. The reference load power deviation is represented by the result of summing and averaging the difference between the collected historical load power and the standard load power.

[0043] The load stability evaluation weight is a value representing the influence degree of the load stability of the electric energy meter on the load precision evaluation index of the electric energy meter in the preset database. When used, it can be directly obtained from the preset database. For example, a mapping set is formed between the load stability of the electric energy meter and the corresponding weight of the load stability evaluation in the preset database. The corresponding weight is obtained by inputting the real-time load stability of the electric energy meter into the mapping set. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0044] The load response evaluation weight is a value representing the influence degree of the load response of the electric energy meter on the load precision evaluation index of the electric energy meter in the preset database. Its corresponding relationship can be a pre-set mapping relationship. For example, a mapping set is formed between the load response of the electric energy meter and the corresponding weight of the load response evaluation in the preset database. The corresponding weight is obtained by inputting the real-time load response of the electric energy meter into the mapping set. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0045] In this example, the sum of the load stability evaluation weight, the load response evaluation weight, and the load adaptation evaluation weight is 1. The load adaptation evaluation weight is used to describe the influence degree of the load fluctuation adaptation of the electric energy meter on the load precision evaluation index of the electric energy meter.

[0046] The load precision evaluation index of the electric energy meter is used to quantitatively evaluate the load adaptability of the electric energy meter. Specifically, the load precision evaluation index of the electric energy meter includes multiple parameters, and each parameter is related to each other and does not exist independently. For example, as the load instantaneous power value increases, the response speed of the electric energy meter increases, i.e., the power change rate of the electric energy meter increases. In addition, as the load fluctuation frequency increases, the high-frequency fluctuation load makes it more difficult for the electric energy meter to respond in time and accurately, thereby increasing the fluctuation response time of the electric energy meter, which leads to an increase in error, thereby reducing the load precision evaluation index of the electric energy meter. Therefore, considering the correlation and mutual influence between various factors, the load precision evaluation index of the electric energy meter is obtained through comprehensive analysis, realizing the numerical evaluation of the load adaptability of the electric energy meter. The load adaptability of the electric energy meter is judged through numerical evaluation, thereby realizing more accurate evaluation of the load adaptability of the electric energy meter.

[0047] Further, the specific steps of determining whether to perform the load adaptability optimization of the electric energy meter based on the load precision evaluation index of the electric energy meter are as follows: comparing the load precision evaluation index of the electric energy meter with a preset load precision threshold range obtained from a preset database; if the load precision evaluation index of the electric energy meter is within the preset load precision threshold range, the load adaptability optimization of the electric energy meter is not performed, and the precision evaluation data and the load precision evaluation index of the electric energy meter are uploaded to the cloud storage; if the load precision evaluation index of the electric energy meter is beyond the preset load precision threshold range, the load adaptability optimization of the electric energy meter is performed, and the effect of the load adaptability optimization of the electric energy meter is evaluated to obtain a load optimization index of the electric energy meter.

[0048] In the embodiment, specifically, the preset load precision threshold range is set by professionals according to the standards in the field, for example, the preset load precision threshold range is set to 0.66 to 1; by combining the preset load precision threshold range for judgment and performing the load adaptability optimization of the electric energy meter, more accurate judgment of the load adaptability of the electric energy meter is achieved.

[0049] Further, the specific steps of the load adaptability optimization of the electric energy meter are as follows: A1, performing adaptive filter optimization on the electric energy meter, determining whether the monitored load precision evaluation index of the electric energy meter is within the preset load precision threshold range, if yes, stopping the load adaptability optimization of the electric energy meter, otherwise performing A2; A2, performing dynamic load compensation optimization on the electric energy meter, determining whether the monitored load precision evaluation index of the electric energy meter is within the preset load precision threshold range, if yes, stopping the load adaptability optimization of the electric energy meter, otherwise performing A3; A3, performing power factor adjustment and frequency response optimization on the electric energy meter, and evaluating the effect of the load adaptability optimization of the electric energy meter to obtain a load optimization index of the electric energy meter.

[0050] In the embodiment, the adaptive filter optimization of the electric energy meter is implemented by the least mean square error algorithm and the recursive least squares algorithm, specifically, for example, the coefficients of the filter are adjusted by minimizing the error between the output signal and the expected signal; the dynamic load compensation optimization is implemented by the PID (Proportional-Integral-Derivative Control) control algorithm, specifically, for example, by adjusting the capacitance or inductance elements, the reactive power is adjusted to improve the power factor; the power factor is adjusted by using the PWM (Pulse Width Modulation) modulation technology (by adjusting the output current of the inverter to make it consistent with the phase of the grid voltage, thereby reducing the reactive power and improving the power factor), the frequency response optimization is implemented by using the fast Fourier transform, specifically, for example, the fast Fourier transform is used to perform frequency spectrum analysis on the measurement signal of the electric energy meter to identify the frequency components of the signal; by the load adaptability optimization, the reliability of the precision measurement of the electric energy meter under abnormal load adaptability is improved.

[0051] Further, the specific steps of evaluating the effect of the power meter load adaptability optimization to obtain the power meter load optimization index are as follows: obtaining the power meter load error to be optimized and the power meter load precision evaluation index to be optimized before the power meter load adaptability optimization is performed; obtaining the corresponding power meter load error after optimization and the power meter load precision evaluation index after optimization after the power meter load adaptability optimization is performed; and obtaining the power meter load optimization index according to the power meter load error to be optimized, the power meter load precision evaluation index to be optimized, the power meter load error after optimization, and the power meter load precision evaluation index after optimization and the load error optimization evaluation weight and the load precision optimization evaluation weight obtained from the preset database.

[0052] The method for obtaining the power meter load optimization index is as follows:

[0053] ;

[0054] In the formula, denotes the power meter load optimization index, denotes the load error optimization evaluation weight, denotes the load precision optimization evaluation weight, denotes the power meter load error to be optimized at the tth preset time in the preset time interval, denotes the power meter load error after optimization at the tth preset time in the preset time interval, denotes the power meter load precision evaluation index after optimization, denotes the power meter load precision evaluation index to be optimized, denotes the number of preset times in the preset time interval, , denotes the total number of preset times in the preset time interval.

[0055] In the embodiment, the power meter load error to be optimized refers to the power meter load error before the power meter load adaptability optimization is performed, and the power meter load error is obtained by the difference between the power meter load reading and the standard load value; the power meter load precision evaluation index to be optimized refers to the power meter load precision evaluation index before the power meter load adaptability optimization is performed.

[0056] The power meter load error after optimization refers to the power meter load error after the power meter load adaptability optimization is performed, and the power meter load precision evaluation index after optimization refers to the power meter load precision evaluation index after the power meter load adaptability optimization is performed.

[0057] The load error optimization evaluation weight is used to describe the influence degree of the load error optimization of the electric energy meter on the load optimization index of the electric energy meter, is a preset value in the preset database, for example, the load error optimization evaluation weight corresponding to the load error optimization of the electric energy meter and the preset database forms a mapping set, and the real-time load error optimization of the electric energy meter is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one, and the value range in the example is [0, 1].

[0058] The sum of the load error optimization evaluation weight and the load precision optimization evaluation weight is 1 in the example, and the load precision optimization evaluation weight reflects the influence degree of the load precision optimization of the electric energy meter on the load optimization index of the electric energy meter.

[0059] Specifically, the load error optimization evaluation weight is 0.5, the load precision optimization evaluation weight is 0.5, the load precision evaluation index of the electric energy meter to be optimized is 0.6, and the total number of preset time intervals in the preset time interval is 1. The load optimization index of the electric energy meter can be calculated by the above method, and the change statistics table of the load optimization index of the electric energy meter is shown in Table 1.

[0060] Table 1 Change statistics table of the load optimization index of the electric energy meter

[0061]

[0062] As can be seen from the first group of data and the second group of data in Table 1, when the load precision evaluation index of the electric energy meter after optimization (0.80) and the load error of the electric energy meter to be optimized (0.5) are a fixed value, the load optimization index of the electric energy meter increases with the decrease of the load error of the electric energy meter after optimization. In addition, as can be seen from the third group of data and the fourth group of data, the load optimization index of the electric energy meter also increases with the increase of the load precision evaluation index of the electric energy meter after optimization.

[0063] The electric energy meter load optimization index is used for quantitatively evaluating the effect of electric energy meter load adaptability optimization. The electric energy meter load to be optimized error, the electric energy meter load error after optimization, and the change of the electric energy meter load precision evaluation index after optimization all directly cause the electric energy meter load optimization index to change. Specifically, for example, as the electric energy meter load precision evaluation index after optimization increases, the electric energy meter load optimization index also increases. In addition, the electric energy meter load optimization index contains multiple parameters, and each parameter is not independent but is related to each other. For example, as the electric energy meter load error after optimization decreases, it indicates that the load optimization enhances the load adaptability of the electric energy meter, that is, the electric energy meter load precision evaluation index after optimization increases. The electric energy meter load optimization index is obtained by comprehensively analyzing the correlation and mutual influence between various factors, realizing the numerical evaluation of the electric energy meter load adaptability optimization effect, judging the electric energy meter load adaptability optimization effect through numerical evaluation, and further realizing more accurate evaluation of the electric energy meter load adaptability optimization effect.

[0064] Further, the specific steps of judging whether to perform electric energy meter environment adaptability evaluation based on the electric energy meter load optimization evaluation index are as follows: comparing the electric energy meter load optimization index with the preset load optimization threshold range obtained from the preset database; if the electric energy meter load optimization index is within the preset load optimization threshold range, performing electric energy meter environment adaptability evaluation, and obtaining the electric energy meter environment precision evaluation index after performing electric energy meter environment adaptability evaluation; if the electric energy meter load optimization index exceeds the preset load optimization threshold range, not performing electric energy meter environment adaptability evaluation, and reminding the preset personnel to perform electric energy meter load adaptability calibration self-repair optimization.

[0065] In the embodiment, specifically, the preset load optimization threshold range is set by professionals according to the standards in the field. For example, the preset load optimization threshold range is determined by setting the electric energy meter load to be optimized error range (generally 0.5 to 1), the electric energy meter load error range after optimization (generally 0 to 0.5), the electric energy meter load precision evaluation index range after optimization (generally 0.8 to 1), and the electric energy meter load precision evaluation index range to be optimized (generally 0.4 to 0.7). By combining the preset load optimization threshold range for judgment, more accurate judgment of the electric energy meter load adaptability optimization effect is realized.

[0066] Further, the specific steps of obtaining the electric energy meter environment precision evaluation index after the electric energy meter environment adaptability evaluation are as follows: obtaining the electric energy meter environment precision measurement value and the electric energy meter environment precision correction value in the preset time interval to be evaluated, the electric energy meter environment precision measurement value including the electric energy meter environment temperature measurement maximum value, the electric energy meter environment humidity measurement maximum value and the electric energy meter environment voltage measurement maximum value, the electric energy meter environment precision correction value including the electric energy meter environment temperature minimum correction error, the electric energy meter self-consumption maximum correction power, the electric energy meter environment humidity minimum correction error and the electric energy meter environment voltage minimum correction error; obtaining the electric energy meter environment precision evaluation index according to the electric energy meter environment precision measurement value and the electric energy meter environment precision correction value combined with the environment evaluation reference data obtained from the preset database; the environment evaluation reference data including the environment precision measurement reference value, the environment precision benchmark reference value and the environment precision evaluation weight; the environment precision measurement reference value including the electric energy meter environment standard temperature, the electric energy meter environment standard humidity and the electric energy meter environment standard voltage; the environment precision benchmark reference value including the electric energy meter environment temperature reference error, the electric energy meter environment humidity reference error and the electric energy meter environment voltage reference error; and the environment precision evaluation weight including the environment temperature evaluation weight, the environment humidity evaluation weight and the environment voltage evaluation weight.

[0067] The method for obtaining the electric energy meter environment precision evaluation index is as follows:

[0068] ;

[0069] In the formula, denotes the electric energy meter environment precision evaluation index, denotes the electric energy meter self-consumption maximum correction power in the preset time interval to be evaluated, denotes the electric energy meter self-consumption power, denotes the environment temperature evaluation weight, denotes the electric energy meter environment temperature measurement maximum value in the preset time interval to be evaluated, denotes the electric energy meter environment standard temperature, denotes the electric energy meter environment temperature minimum correction error in the preset time interval to be evaluated, denotes the electric energy meter environment temperature reference error, denotes the environment humidity evaluation weight, denotes the electric energy meter environment humidity measurement maximum value in the preset time interval to be evaluated, denotes the electric energy meter environment standard humidity, denotes the electric energy meter environment humidity minimum correction error in the preset time interval to be evaluated, denotes the electric energy meter environment humidity reference error, denotes the environment voltage evaluation weight, denotes the electric energy meter environment voltage measurement maximum value in the preset time interval to be evaluated, represents the standard voltage of the electric energy meter environment, represents the minimum correction error of the electric energy meter environment voltage to be evaluated in a preset time interval, represents the reference error of the electric energy meter environment voltage.

[0070] In this embodiment, the preset time interval to be evaluated refers to a preset time interval before the electric energy meter environment adaptability evaluation is performed; the electric energy meter environment temperature measurement value, the electric energy meter environment humidity measurement value and the electric energy meter environment voltage measurement value are obtained by the temperature sensor, the humidity sensor and the voltage meter deployed on the input end of the electric energy meter; the electric energy meter self-consumption correction power is obtained by the power meter; the maximum correction power of the electric energy meter self-consumption, the maximum value of the electric energy meter environment temperature measurement, the maximum value of the electric energy meter environment humidity measurement and the maximum value of the electric energy meter environment voltage measurement are obtained by the statistical toolbox (such as max(data)) in MATLAB.

[0071] The minimum correction error of the electric energy meter environment temperature, the minimum correction error of the electric energy meter environment humidity and the minimum correction error of the electric energy meter environment voltage are obtained by the difference between the electric energy meter reading and the standard reading under the electric energy meter environment temperature measurement value, the electric energy meter environment humidity measurement value and the electric energy meter environment voltage measurement value.

[0072] The reference error of the electric energy meter environment temperature is represented by the result of summing and averaging the collected historical minimum correction error of the electric energy meter environment temperature, the reference error of the electric energy meter environment humidity is represented by the result of summing and averaging the collected historical minimum correction error of the electric energy meter environment humidity, and the reference error of the electric energy meter environment voltage is represented by the result of summing and averaging the collected historical minimum correction error of the electric energy meter environment voltage.

[0073] The environment temperature evaluation weight reflects the influence degree of the environment temperature on the electric energy meter environment precision evaluation index, which can be directly obtained from the preset database when used, and the corresponding relationship can be a pre-set mapping relationship, for example, the environment temperature and the preset environment temperature evaluation corresponding weight in the preset database form a mapping set, and the real-time environment temperature is input into the mapping set to obtain the corresponding weight, and the mapping relationship therein can be one-to-one or many-to-one, and the value range in this example is [0, 1].

[0074] The environment humidity evaluation weight reflects the influence degree of the environment humidity on the electric energy meter environment precision evaluation index, which can be directly obtained from the preset database when used, for example, the environment humidity and the preset environment humidity evaluation corresponding weight in the preset database form a mapping set, and the real-time environment humidity is input into the mapping set to obtain the corresponding weight, and the mapping relationship therein can be one-to-one or many-to-one, and the value range in this example is [0, 1].

[0075] The sum of the ambient temperature evaluation weight, the ambient humidity evaluation weight and the ambient voltage evaluation weight is 1 in the example, and the ambient voltage evaluation weight is used to describe the influence degree of the ambient voltage on the electric energy meter environment precision evaluation index.

[0076] As shown in FIG. 2, it is a variation diagram of the electric energy meter environment precision evaluation index provided by the embodiment of the present application, wherein it is set that the ambient temperature evaluation weight is 0.3, the ambient humidity evaluation weight is 0.3, the ambient voltage evaluation weight is 0.4, the electric energy meter self-consumption power is 350W, the electric energy meter environment temperature measurement maximum value is 30 degrees Celsius, the electric energy meter environment standard temperature is 25 degrees Celsius, the electric energy meter environment temperature reference error is 1 (%℃), the electric energy meter environment humidity measurement maximum value is 60 (%), the electric energy meter environment standard humidity is 50 (%), the electric energy meter environment humidity minimum correction error is 5 (%RH), the electric energy meter environment humidity reference error is 3 (%RH), the electric energy meter environment voltage measurement maximum value is 220V, the electric energy meter environment standard voltage is 220V, the electric energy meter environment voltage minimum correction error is 6 (%V), and the electric energy meter environment voltage reference error is 5 (%V). FIG. 2(a) is a variation diagram of the electric energy meter environment precision evaluation index with the electric energy meter self-consumption maximum correction power, specifically, it is set that the electric energy meter environment temperature minimum correction error is 2 (%℃), and with the increase of the electric energy meter self-consumption maximum correction power, the electric energy meter environment precision evaluation index decreases. FIG. 2(b) is a variation diagram of the electric energy meter environment precision evaluation index with the electric energy meter environment temperature minimum correction error, specifically, it is set that the electric energy meter self-consumption maximum correction power is 200W, and with the increase of the electric energy meter environment temperature minimum correction error, the electric energy meter environment precision evaluation index also decreases.

[0077] The electric energy meter environment precision evaluation index is used to quantitatively evaluate the environmental adaptability of the electric energy meter. Specifically, the electric energy meter environment precision evaluation index contains multiple parameters, and each parameter is related to each other, not independent. For example, with the increase of the electric energy meter environment temperature measurement maximum value, the electric energy meter environment humidity measurement maximum value also increases generally. With the change of the ambient temperature and the ambient humidity, the electric energy meter self-consumption maximum correction power also increases. In addition, the change of the voltage directly affects the precision of the electric energy meter. With the increase of the electric energy meter environment voltage measurement maximum value, the electric energy meter measurement deviation increases, that is, the electric energy meter environment voltage minimum correction error increases, and then the electric energy meter environment precision evaluation index decreases. Therefore, by quantitatively considering the correlation and mutual influence between each factor, the electric energy meter environment precision evaluation index is obtained by comprehensive analysis, the numerical evaluation of the electric energy meter environment adaptability is realized, the judgment of the electric energy meter environment adaptability is realized by numerical evaluation, and the accuracy of the electric energy meter environment adaptability evaluation is improved.

[0078] Further, the specific steps of judging whether to perform the electric energy meter calibration self-repair optimization according to the electric energy meter load precision evaluation index and the electric energy meter load optimization index are as follows: M1, judging whether the obtained electric energy meter load precision evaluation index is in the preset load precision threshold range, if the electric energy meter load precision evaluation index exceeds the preset load precision threshold range, performing M2, otherwise, not performing the electric energy meter calibration self-repair optimization; M2, judging whether the obtained electric energy meter load optimization index is in the preset load optimization threshold range, if the wind vane monitoring performance index is in the preset monitoring performance threshold range, performing M3, otherwise, performing the electric energy meter load adaptive calibration self-repair optimization; M3, judging whether the obtained electric energy meter environment precision evaluation index is in the preset environment precision threshold range, if the electric energy meter environment precision evaluation index is in the preset environment precision threshold range, not performing the electric energy meter calibration self-repair optimization, otherwise, performing the electric energy meter environment adaptive calibration self-repair optimization; the electric energy meter calibration self-repair optimization includes the electric energy meter load adaptive calibration self-repair optimization and the electric energy meter environment adaptive calibration self-repair optimization.

[0079] In the embodiment, the electric energy meter load adaptive calibration self-repair optimization is realized by the adaptive load correction algorithm (for example, correcting the measurement value of the electric energy meter by the Kalman filtering algorithm); the electric energy meter environment adaptive calibration self-repair optimization is realized by the environment self-repair algorithm (for example, voltage compensation by the particle filtering); wherein the preset environment precision threshold range is obtained from the preset database, specifically, the preset environment precision threshold range is set by the professional personnel according to the standard in the field, for example, setting the preset environment precision threshold range as 0.6 to 1; by combining the preset environment precision threshold range for judgment, more accurate judgment of the electric energy meter environment adaptive evaluation is realized.

[0080] As Figure 3As shown, it is a structural schematic diagram of a high-precision measurement system of an electric energy meter provided by the embodiment, the high-precision measurement system of the electric energy meter comprises: a precision evaluation data acquisition module, a load adaptation evaluation judgment module, a load optimization evaluation judgment module, and an environment adaptation evaluation judgment module; wherein the precision evaluation data acquisition module is used for pre-processing the obtained electric energy meter precision measurement data to obtain precision evaluation data, the precision evaluation data comprises precision evaluation load data and precision evaluation electric energy meter data; the load adaptation evaluation judgment module is used for evaluating the load adaptation of the electric energy meter according to the precision evaluation data to obtain an electric energy meter load precision evaluation index, judging whether to execute electric energy meter load adaptation optimization based on the electric energy meter load precision evaluation index, and the electric energy meter load precision evaluation index is used for quantitatively evaluating the load adaptation of the electric energy meter; the load optimization evaluation judgment module is used for evaluating the effect of electric energy meter load adaptation optimization after executing the electric energy meter load adaptation optimization to obtain an electric energy meter load optimization index, judging whether to execute electric energy meter environment adaptation evaluation based on the electric energy meter load optimization evaluation index, and the electric energy meter load optimization index is used for quantitatively evaluating the effect of electric energy meter load adaptation optimization; and the environment adaptation evaluation judgment module is used for obtaining an electric energy meter environment precision evaluation index after executing the electric energy meter environment adaptation evaluation, judging whether to execute electric energy meter calibration self-repair optimization according to the electric energy meter load precision evaluation index and the electric energy meter load optimization index, and the electric energy meter environment precision evaluation index is used for quantitatively evaluating the environment adaptation of the electric energy meter.

[0081] In the embodiment, the precision evaluation data is obtained by pre-processing the obtained electric energy meter precision measurement data, so as to realize the evaluation and optimization of the load adaptation and the environment adaptation of the electric energy meter, and further realize the improvement of the electric energy meter precision measurement quality.

[0082] In conclusion, the embodiment evaluates the load adaptation of the electric energy meter to judge whether to execute electric energy meter load adaptation optimization, then evaluates the effect of electric energy meter load adaptation optimization to judge whether to execute electric energy meter environment adaptation evaluation, finally obtains an electric energy meter environment precision evaluation index after executing the electric energy meter environment adaptation evaluation to judge whether to execute electric energy meter calibration self-repair optimization, so as to realize the evaluation and optimization of the load adaptation and the environment adaptation of the electric energy meter, and further realize the improvement of the precision measurement process stability of the electric energy meter, and effectively solve the problem of low precision measurement process stability of the electric energy meter in the prior art.

[0083] Those skilled in the art will appreciate that embodiments of the present application can be devised for a variety of applications. It is intended that the present application be limited only by the scope of the appended claims, and it is intended that various modifications and alterations made by those skilled in the art be considered as within the scope of the present application. The embodiments of the present application will be described with reference to the attached drawings, wherein:

[0084] The present application is described in reference to the drawings using a flowchart and / or a block diagram of the method, apparatus (system) and computer program product according to embodiments of the application. It will be understood that each block of the flowchart and / or block diagram, and combinations of blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processing device or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks.

[0085] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks.

[0086] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks.

[0087] While the preferred embodiments of the application have been described, additional variations and modifications can be made to the embodiments by those skilled in the art once they learn of the basic inventive concepts. Therefore, the appended claims are intended to cover all such modifications and variations as fall within the scope of the present application.

[0088] Obviously, many modifications and variations of the present application are possible in light of the above teachings. It is, therefore, to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.

Claims

1. A high-precision measurement method for an electric energy meter, characterized in that: The following steps are involved: S1, preprocessing the acquired electric energy meter accuracy measurement data to obtain accuracy evaluation data, wherein the accuracy evaluation data includes accuracy evaluation load data and accuracy evaluation electric energy meter data; S2, evaluating the load adaptability of the electric energy meter according to the accuracy evaluation data to obtain an electric energy meter load accuracy evaluation index, and determining whether to perform the electric energy meter load adaptability optimization based on the electric energy meter load accuracy evaluation index, wherein the electric energy meter load accuracy evaluation index is used to quantitatively evaluate the load adaptability of the electric energy meter; S3, after performing the energy meter load adaptability optimization, evaluating the effect of the energy meter load adaptability optimization to obtain an energy meter load optimization index, and determining whether to perform the energy meter environmental adaptability evaluation based on the energy meter load optimization evaluation index, wherein the energy meter load optimization index is used to quantitatively evaluate the effect of the energy meter load adaptability optimization; S4, obtaining the environmental accuracy evaluation index of the electric energy meter after executing the environmental adaptability evaluation of the electric energy meter, and judging whether to execute the electric energy meter calibration self-repair optimization according to the electric energy meter load accuracy evaluation index and the electric energy meter load optimization index, wherein the electric energy meter environmental accuracy evaluation index is used to quantitatively evaluate the environmental adaptability of the electric energy meter.

2. A high-precision measurement method for an electric energy meter as claimed in claim 1, characterized in that: The specific steps of evaluating the load adaptability of the electric energy meter according to the accuracy evaluation data to obtain the load accuracy evaluation index of the electric energy meter are as follows: Obtaining load accuracy assessment related values ​​within a preset time interval, wherein the load accuracy assessment related values ​​include load instantaneous power value, average load power value, maximum load power value, minimum load power value, power change rate of the electric energy meter, load fluctuation frequency, and electric energy meter fluctuation response time; The load accuracy evaluation related values ​​are combined with the load accuracy evaluation reference values ​​obtained from the preset database to obtain the load accuracy evaluation index of the electric energy meter. The load accuracy evaluation reference values ​​include load stability evaluation weight, load response evaluation weight, load adaptation evaluation weight, reference load fluctuation minimum value and reference load power deviation.

3. A high-precision measurement method for an electric energy meter as claimed in claim 2, characterized in that: The method for obtaining the load accuracy evaluation index of the electric energy meter is as follows: Where, Indicates the load accuracy evaluation index of the electric energy meter, Indicates the load stability evaluation weight, represents the load response evaluation weight, represents the load adaptation evaluation weight, Indicates the number of the preset time within the preset time interval, , Indicates the total number of preset moments in a preset time interval. Indicates the instantaneous power value of the load at the tth preset moment within the preset time interval, Indicates the average load power value within the preset time interval. Indicates the minimum value of reference load fluctuation, Indicates the maximum load power within the preset time interval. Indicates the minimum load power within the preset time interval. Indicates the reference load power deviation, Indicates the load fluctuation frequency within a preset time interval, Indicates the energy meter fluctuation response time within the preset time interval. Indicates the power change rate of the energy meter within a preset time interval.

4. The high-precision measurement method for an electric energy meter according to claim 1, wherein: The specific steps of determining whether to perform the energy meter load adaptability optimization based on the energy meter load accuracy evaluation index are as follows: comparing the load accuracy evaluation index of the electric energy meter with a preset load accuracy threshold range obtained from a preset database; If the load accuracy evaluation index of the electric energy meter is within the preset load accuracy threshold range, the load adaptability optimization of the electric energy meter will not be performed, and the accuracy evaluation data and the load accuracy evaluation index of the electric energy meter will be uploaded to the cloud storage; If the load accuracy evaluation index of the electric energy meter exceeds the preset load accuracy threshold range, the load adaptability optimization of the electric energy meter is performed, and the effect of the load adaptability optimization of the electric energy meter is evaluated to obtain the load optimization index of the electric energy meter.

5. A high-precision measurement method for an electric energy meter as claimed in claim 4, characterized in that: The specific steps of optimizing the load adaptability of the electric energy meter are as follows: A1, perform adaptive filtering optimization on the electric energy meter to determine whether the monitored electric energy meter load accuracy evaluation index is within the preset load accuracy threshold range. If so, stop the electric energy meter load adaptive optimization, otherwise execute A2; A2, performing dynamic load compensation optimization on the electric energy meter, determining whether the monitored load accuracy evaluation index of the electric energy meter is within the preset load accuracy threshold range, if so, stopping the load adaptability optimization of the electric energy meter, otherwise executing A3; A3, adjust the power factor and optimize the frequency response of the electric energy meter, and evaluate the effect of the load adaptability optimization of the electric energy meter to obtain the load optimization index of the electric energy meter.

6. A high-precision measurement method for an electric energy meter as claimed in claim 4, characterized in that: The specific steps of evaluating the effect of the power meter load adaptability optimization to obtain the power meter load optimization index are as follows: Obtaining an error of the electric energy meter load to be optimized and an accuracy evaluation index of the electric energy meter load to be optimized before performing adaptive optimization of the electric energy meter load; Obtaining the corresponding electric energy meter load optimization error and optimized electric energy meter load accuracy evaluation index after executing the electric energy meter load adaptability optimization; The energy meter load optimization index is obtained by combining the energy meter load error to be optimized, the energy meter load accuracy evaluation index to be optimized, the energy meter load error after optimization and the energy meter load accuracy evaluation index after optimization with the load error optimization evaluation weight and load accuracy optimization evaluation weight obtained from the preset database.

7. A high-precision measurement method for an electric energy meter as claimed in claim 1, characterized in that: The specific steps of determining whether to perform the environmental adaptability assessment of the energy meter based on the energy meter load optimization assessment index are as follows: comparing the load optimization index of the electric energy meter with a preset load optimization threshold range obtained from a preset database; If the load optimization index of the electric energy meter is within the preset load optimization threshold range, the electric energy meter environmental adaptability evaluation is performed, and the electric energy meter environmental accuracy evaluation index after the electric energy meter environmental adaptability evaluation is performed is obtained; If the load optimization index of the energy meter exceeds the preset load optimization threshold range, the energy meter environmental adaptability assessment will not be performed, and the preset personnel will be reminded to perform the energy meter load adaptability calibration self-repair optimization.

8. A high-precision measurement method for an electric energy meter as claimed in claim 7, characterized in that: The specific steps of obtaining the environmental accuracy evaluation index of the electric energy meter after performing the environmental adaptability evaluation of the electric energy meter are as follows: Obtaining an environmental accuracy measurement value and an environmental accuracy correction value of the electric energy meter within a preset time interval to be evaluated, wherein the environmental accuracy measurement value of the electric energy meter includes a maximum value of the environmental temperature measurement of the electric energy meter, a maximum value of the environmental humidity measurement of the electric energy meter, and a maximum value of the environmental voltage measurement of the electric energy meter; and the environmental accuracy correction value of the electric energy meter includes a minimum correction error of the environmental temperature of the electric energy meter, a maximum correction power of the self-consumption of the electric energy meter, a minimum correction error of the environmental humidity of the electric energy meter, and a minimum correction error of the environmental voltage of the electric energy meter; The environmental accuracy evaluation index of the electric energy meter is obtained by combining the environmental accuracy measurement value of the electric energy meter and the environmental accuracy correction value of the electric energy meter with the environmental evaluation reference data obtained from the preset database; The environmental assessment reference data includes an environmental accuracy measurement reference value, an environmental accuracy benchmark reference value, and an environmental accuracy assessment weight; The environmental accuracy measurement reference values ​​include the energy meter environmental standard temperature, the energy meter environmental standard humidity and the energy meter environmental standard voltage; The environmental accuracy benchmark reference value includes the energy meter environmental temperature reference error, the energy meter environmental humidity reference error and the energy meter environmental voltage reference error; The environmental accuracy evaluation weights include an environmental temperature evaluation weight, an environmental humidity evaluation weight, and an environmental voltage evaluation weight.

9. The high-precision measurement method for an electric energy meter according to claim 1, characterized in that: The specific steps of determining whether to perform the self-repair optimization of the electric energy meter calibration according to the electric energy meter load accuracy evaluation index and the electric energy meter load optimization index are as follows: M1, judging whether the obtained load accuracy evaluation index of the electric energy meter is within the preset load accuracy threshold range, if the load accuracy evaluation index of the electric energy meter exceeds the preset load accuracy threshold range, executing M2, otherwise, not executing the electric energy meter calibration self-repair optimization; M2, judging whether the obtained load optimization index of the electric energy meter is within the preset load optimization threshold range, if the wind vane monitoring performance compliance index is within the preset monitoring performance compliance threshold range, then executing M3, otherwise, executing the electric energy meter load adaptability calibration self-repair optimization; M3, judging whether the obtained environmental accuracy evaluation index of the electric energy meter is within a preset environmental accuracy threshold range; if the environmental accuracy evaluation index of the electric energy meter is within the preset environmental accuracy threshold range, not executing the electric energy meter calibration self-repair optimization; otherwise, executing the electric energy meter environmental adaptability calibration self-repair optimization; The electric energy meter calibration self-repair optimization includes the electric energy meter load adaptability calibration self-repair optimization and the electric energy meter environment adaptability calibration self-repair optimization.

10. A high-precision measurement system for an electric energy meter, characterized in that: include: Accuracy assessment data acquisition module, load adaptation assessment and judgment module, load optimization assessment and judgment module, and environmental adaptation assessment and judgment module; The accuracy assessment data acquisition module is used to pre-process the acquired electric energy meter accuracy measurement data to obtain accuracy assessment data, wherein the accuracy assessment data includes accuracy assessment load data and accuracy assessment electric energy meter data; The load adaptability evaluation and judgment module is used to evaluate the load adaptability of the electric energy meter according to the accuracy evaluation data to obtain an electric energy meter load accuracy evaluation index, and determine whether to perform the electric energy meter load adaptability optimization based on the electric energy meter load accuracy evaluation index, wherein the electric energy meter load accuracy evaluation index is used to quantitatively evaluate the load adaptability of the electric energy meter; The load optimization evaluation and judgment module is used to evaluate the effect of the load adaptability optimization of the electric energy meter after performing the load adaptability optimization of the electric energy meter to obtain the load optimization index of the electric energy meter, and determine whether to perform the environmental adaptability evaluation of the electric energy meter based on the load optimization evaluation index of the electric energy meter. The load optimization index of the electric energy meter is used to quantitatively evaluate the effect of the load adaptability optimization of the electric energy meter; The environmental adaptability assessment and judgment module is used to obtain the environmental accuracy assessment index of the electric energy meter after performing the environmental adaptability assessment of the electric energy meter, and to judge whether to perform the electric energy meter calibration self-repair optimization based on the electric energy meter load accuracy assessment index and the electric energy meter load optimization index. The electric energy meter environmental accuracy assessment index is used to quantitatively evaluate the environmental adaptability of the electric energy meter.

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