Self-calibration metering method of intelligent explosion-proof electric meter box

Abstract

The invention relates to the technical field of electric meter measurement and correction, in particular to a self-calibration metering method of an intelligent anti-explosion electric meter box, which comprises the following steps of: respectively acquiring voltage data of an electric energy meter and a standard meter in the intelligent anti-explosion electric meter box in each half cycle under three-phase alternating current; acquiring a voltage base offset correction value of each element in the voltage data of the electric energy meter in each half cycle by using the difference between the voltage data of the electric energy meter and the standard meter in two adjacent half cycles, the difference between fitting curves of the electric energy meter and the curve fitting error of the voltage data of the electric energy meter in each half cycle; and correcting the voltage data of the electric energy meter by combining the element difference of the voltage data between the electric energy meter and the standard meter so as to output the electric energy used by the factory. The invention aims to improve the accuracy of rectifying and correcting the voltage data.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of meter measurement correction, in particular to a self-calibration metering method of an intelligent explosion-proof meter box. BACKGROUND

[0002] In industrial production, because industrial production often comes into contact with various flammable and explosive gases and objects, the meter box used in industrial production needs to have an explosion-proof function. At the same time, because the meter box is in an industrial production environment, the environment often has a large production noise and a strong magnetic field, which has a great influence on the electric energy meter in the meter box, causing errors in the metering of the electric energy meter in the meter box, affecting the metering of energy use in industrial production. Therefore, it is necessary to correct the metering of the meter box to ensure the normal operation of industrial production and the management of electric energy use.

[0003] The traditional correction of the voltage in the electric energy meter generally uses a ratio difference correction, which corrects the ratio difference between the peak voltage of the electric energy meter and the peak voltage of the standard meter. However, because the environment of the explosion-proof box is complex, it can cause the voltage in the electric energy meter in the meter box to fluctuate differently at different times within a cycle. The traditional method does not fully consider the system oscillation within the voltage cycle of the electric energy meter and the difference between adjacent cycles, causing a decrease in the accuracy of the voltage correction by the traditional method. SUMMARY

[0004] To solve the above technical problems, the present application provides a self-calibration metering method of an intelligent explosion-proof meter box to solve the existing problems.

[0005] The self-calibration metering method of an intelligent explosion-proof meter box of the present application adopts the following technical solutions: One embodiment of the present application provides a self-calibration metering method of an intelligent explosion-proof meter box, which comprises the following steps: The voltage data of each half cycle of the electric energy meter and the standard meter under three-phase alternating current are obtained respectively through the electric energy meter and the standard meter in the intelligent explosion-proof meter box; The shape deviation degree of each time in each half cycle is obtained by using the difference between the voltage data of each half cycle of the electric energy meter and the standard meter and the difference between the fitted curves thereof; The combined cycle deviation degree of each half cycle is obtained by analyzing the shape deviation degree difference between the adjacent two half cycles in the electric energy meter; The voltage base correction amount of each element in the voltage data of each half cycle of the electric energy meter is obtained by using the error of curve fitting of the voltage data of each half cycle of the electric energy meter, combining the shape deviation degree and the combined cycle deviation degree; The voltage data of the electric energy meter is corrected in combination with the element difference between the voltage data of the electric energy meter and the standard meter, so as to output the electric energy used in the factory.

[0006] Preferably, the voltage data of each current phase in the three-phase alternating current has voltage data of several half cycles.

[0007] Preferably, the method for obtaining the shape deviation degree at each time point in each half cycle is as follows: In the formula, denotes the shape deviation degree at the i th time point in the j th half cycle, , denote the i th element in the voltage data of the electric energy meter and the voltage data of the standard meter in the j th half cycle, respectively, , denote the i th element in the fitting curve of the voltage data of the electric energy meter and the voltage data of the standard meter in the j th half cycle, respectively, denotes a preset zero adjustment factor to prevent the factor from being zero.

[0008] Preferably, the method for obtaining the combined cycle deviation degree of each half cycle is as follows: In the formula, denotes the combined cycle deviation degree of the j th half cycle, , denote the shape deviation sequences of the j th and j + 1 th half cycles, respectively, denotes the sum of all elements in the shape deviation sequence of the j th half cycle, and ou denotes the Euclidean distance function.

[0009] Preferably, the method for obtaining the shape deviation sequence of each half cycle is as follows: the shape deviation degrees at all time points in each half cycle are arranged in the order of time to form a sequence.

[0010] Preferably, when j is the last half cycle, .

[0011] Preferably, the method for obtaining the voltage base deviation correction amount of each element in the voltage data of each half cycle of the electric energy meter is as follows: The running fluctuation degree of each element in the voltage data of each half cycle of the electric energy meter is determined by using the error of curve fitting of the voltage data of each half cycle of the electric energy meter. The voltage base deviation correction amount of the i th element in the voltage data of the j th half cycle of the electric energy meter is denoted as ; In the formula, denotes the shape deviation degree of the i th element in the voltage data of the j th half cycle of the electric energy meter, denotes the combined cycle deviation degree of the j th half cycle, The running fluctuation degree of the Ith element in the voltage data of the Jth half cycle of the electric energy meter.

[0012] Preferably, the method for determining the running fluctuation degree of each element in the voltage data of each half cycle of the electric energy meter is as follows: Calculate the fitting error of the voltage data of each half cycle of the electric energy meter and its fitting curve to form a fitting error sequence; Take the fitting error sequence as the input of the Fourier transform algorithm, and the output of the algorithm is the frequency of the fitting error sequence and the corresponding response value. Take the frequency corresponding to the maximum response value and the response value corresponding to the frequency of 0 as the input of the inverse Fourier transform algorithm, and output the inverse transform sequence; Subtract the inverse transform sequence from the fitting error sequence to obtain a difference sequence. Take the ratio between the element at each position in the difference sequence and the element at the corresponding position in the fitting error sequence as the running fluctuation degree of each element in the voltage data of each half cycle of the electric energy meter.

[0013] Preferably, the method for correcting the voltage data of the electric energy meter is as follows: In the formula, The voltage correction value of the Ith element in the voltage data of the Jth half cycle of the electric energy meter, The normalized value of the voltage base bias correction amount of the Ith element in the voltage data of the Jth half cycle of the electric energy meter, The value of the Ith element in the voltage data of the Jth half cycle of the electric energy meter, The value of the Ith element in the voltage data of the Jth half cycle of the standard meter.

[0014] Preferably, after correcting the voltage data of the electric energy meter, arrange the voltage data of all half cycles of the electric energy meter in chronological order and perform smoothing processing to obtain the correction result of the voltage data collected by the electric energy meter, which is used to calculate the electric energy used by the factory.

[0015] The present application has at least the following beneficial effects: 1. The present application can accurately reflect the actual state of the voltage in the electric energy meter by considering the difference between the waveform form of the electric energy meter and the standard meter, effectively represent the degree of voltage deviation in the electric energy meter, accurately correct the voltage data, and improve the accuracy of the electric energy meter in electric energy measurement.

[0016] 2. The present application can effectively adjust the voltage data by considering the difference between the actual voltage waveform of the electric energy meter and the ideal voltage waveform, and represent the voltage fluctuation degree of the electric energy meter at different times. The traditional method does not fully consider the periodic change state of the voltage, which leads to inaccurate calibration of the data due to the fluctuation degree.

[0017] 3、Through the accurate metering of the electric energy meter in the electric meter box to the electricity of the factory, resource waste caused by electric energy metering can be effectively avoided, and powerful support is provided for energy management of the factory, so that reasonable use of energy of the factory can be ensured, and operation cost of the factory is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0019] Figure 1 A flow chart of a self-calibration metering method of an intelligent explosion-proof electric meter box provided by the present application. DETAILED DESCRIPTION

[0020] In order to further illustrate the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the specific implementation, structure, features and effects of the self-calibration metering method of the intelligent explosion-proof electric meter box according to the present application are described in detail as follows by combining with the drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs.

[0022] The specific scheme of the self-calibration metering method of the intelligent explosion-proof electric meter box provided by the present application is specifically described below in combination with the drawings.

[0023] An embodiment of the present application provides a self-calibration metering method of an intelligent explosion-proof electric meter box.

[0024] Specifically, the self-calibration metering method of the intelligent explosion-proof electric meter box is provided as follows, please refer to Figure 1 The method comprises the following steps: Step 1: Obtain the voltage data of each half cycle under three-phase alternating current of the electric energy meter and the standard meter in the intelligent explosion-proof electric meter box respectively.

[0025] Firstly, the intelligent explosion-proof electric meter box contains electric energy meter, standard meter, circuit breaker, leakage protector, wiring terminal, calibrator. Among them, the electric energy meter and the standard meter are intelligent devices, which can directly collect voltage data and transmit the voltage data to the calibrator. In this embodiment, the data collection frequency of the electric energy meter and the standard meter is 5 kHz, and the collection time is 1 s.

[0026] Since the operation environment of the explosion-proof electric meter box is often in the industrial production environment, there may be data missing during data collection, and nonlinear interpolation can well connect the relationship between the data before and after. In this application, nonlinear interpolation is used to complete the missing part. The completed data constitutes the electric energy meter voltage sequence and the standard meter voltage sequence. The calculation of nonlinear interpolation is a known technology, and the specific calculation steps are not repeated here.

[0027] It should be noted that since factories often use three-phase alternating current, the electric energy meter voltage sequence and the standard meter voltage sequence each have three sequences corresponding to the voltage sequences of the A, B, and C current phases, with one voltage sequence for each current phase.

[0028] For the electric energy equipment used in industry, three-phase alternating current is usually required for operation. At the same time, in an ideal case, the waveform of alternating current is a sine wave. However, due to the complex environment in industrial production and heavy power load, the sine wave shape is distorted, resulting in a waveform that is not a smooth curve. According to the regulation, the frequency of alternating current is 50 Hz, i.e. 50 sine cycles per second, and the data collection time in this application is 1 s.

[0029] Therefore, in this application, the collected electric energy meter voltage sequence and standard meter voltage sequence are evenly divided into 100 subsequences, so that each subsequence is half an alternating current cycle, i.e. 0.5 alternating current cycles. By segmenting the data, the voltage data of each half cycle of the electric energy meter and the standard meter under three-phase alternating current can be obtained, which can reduce the inaccuracy of local data measurement and calculation due to large data processing.

[0030] Step 2: Use the difference between the voltage data of the electric energy meter and the standard meter in each half cycle and the difference between the fitted curves to obtain the shape deviation degree at each time in each half cycle.

[0031] When calibrating and detecting the electric energy meter, the smaller the difference between the voltage data of the electric energy meter and the voltage data of the standard meter, the smaller the amount of calibration required for the electric energy meter. This is because the standard meter is a high-precision, small-error comparison electric meter, and the voltage data collected by the standard meter can be considered as real and correct data. (Note: The standard meter needs to be repaired every 3 months in this embodiment.) Therefore, the greater the difference between the voltage data of the electric energy meter and the voltage data of the standard meter at the same time, the greater the error of the electric energy meter, and the more the electric energy meter needs to be corrected to ensure accurate measurement of the electric energy meter.

[0032] Accordingly, the present application uses the difference between the voltage data of the electric energy meter and the standard meter in each half cycle and the difference between the fitted curves thereof to obtain the shape deviation degree at each time in each half cycle.

[0033] Taking the voltage data of the electric energy meter and the standard meter in the jth half cycle as an example: The voltage data of the electric energy meter and the standard meter in the jth half cycle are taken as inputs of the nonlinear least squares method, and the output is the fitted curve of the voltage data of the electric energy meter and the standard meter in the jth half cycle. The calculation of the nonlinear least squares method is a known technology, and the specific calculation steps are not repeated here.

[0034] Thus, the shape deviation degree at each time in the jth half cycle is calculated, which is used to represent the difference between the electric energy meter and the standard meter: In the formula, represents the shape deviation degree at the ith time in the jth half cycle, , represents the ith element in the voltage data of the electric energy meter and the voltage data of the standard meter in the jth half cycle, respectively, , represents the ith element in the fitted curve of the voltage data of the electric energy meter and the voltage data of the standard meter in the jth half cycle, respectively, represents a preset zero adjustment factor to prevent the factor from being zero, and the default value range is [0.001, 10]. In order to prevent the shape deviation degree from being too small in the present application, the zero adjustment factor is taken as 1 in the present embodiment. Similarly, the shape deviation degree at all times in each half cycle is calculated.

[0035] The greater the difference between the electric energy meter and the standard meter at the same time, and the greater the difference between the two fitted curve values at that time, the greater the deviation of the electric energy meter at that time, resulting in a greater shape deviation degree at that time in the half cycle. It is indicated that the bias voltage caused by the voltage at that time is greater, and in this case, it will cause a serious deviation in the electric energy meter, resulting in inaccuracy in electric energy measurement. Therefore, stronger calibration capability is required to make the data of the electric energy meter return to normal and ensure the accuracy of electric energy measurement.

[0036] Step 3: analyze the difference between the adjacent two half cycles in the electric energy meter, and obtain the combined cycle deviation of each half cycle.

[0037] For the shape deviation values of different time in the half cycle, if they are close or the same, it means that the deviation change of the electric energy meter at different time in the half cycle is the same, the greater the value, the greater the voltage deviation, and the smaller the value, the more normal the voltage data. However, when the shape deviation values of different time are quite different, it means that the voltage data at some time has a large deviation. Under normal circumstances, the cumulative sum of the voltage data in two adjacent half cycles is 0. Therefore, when correcting the deviation, the cumulative sum of the adjacent half cycle data needs to be close to 0.

[0038] Therefore, the smaller the difference between the shape deviations of adjacent half cycles and the smaller the shape deviation value, the smaller the deviation degree of the voltage data measured by the electric energy meter.

[0039] Accordingly, the present application analyzes the difference between the adjacent two half cycles in the electric energy meter, and obtains the combined cycle deviation of each half cycle.

[0040] Therefore, taking the combined cycle deviation of the jth half cycle as an example, the combined cycle deviation of the jth half cycle is calculated as In the formula, denotes the combined cycle deviation of the jth half cycle, , denote the shape deviation sequences of the jth and j+1th half cycles, respectively, denotes the sum of all elements in the shape deviation sequence of the jth half cycle, and ou denotes the Euclidean distance function. Note that when j is the last half cycle,

[0041] wherein the shape deviation sequence of each half cycle is obtained by arranging all the shape deviations of each half cycle in the order of time.

[0042] For the voltage data in the electric energy meter, the sum of the angular frequency and the phase difference needs to be a multiple of π, and the instantaneous value of the voltage is 0. In this case, when the instantaneous value of the voltage is not 0, it means that the voltage has a base deviation. When the difference between the shape deviation sequences of adjacent half cycles is large, it means that the base deviation between adjacent half cycles is high, and the voltage is less stable. At the same time, the larger the base deviation, the larger the sum of all elements in the shape deviation sequence in the half cycle. It means that the distortion degree of the voltage is larger. When processing the voltage data, a stronger correction ability is needed to improve the accuracy of the smart grid to the smart metering.

[0043] ​​Step 4: Obtain the voltage base offset correction amount of each element in the voltage data of each half cycle of the electric energy meter by using the error of curve fitting of the voltage data of each half cycle of the electric energy meter, combining the shape deviation and the combined cycle deviation.

[0044] When the difference between the electric energy meter and the fitted sine function is larger, the volatility of the data voltage is stronger, and a certain oscillation fluctuation will be generated in the actual operation of the voltage. The fluctuation of the noise will affect the base offset correction, but the normal oscillation fluctuation of the system will not affect the data base offset correction. Therefore, the correction strength of the base offset needs to be adjusted to avoid excessive correction affecting the accuracy of the voltage data, thereby reducing the metering accuracy of the electric energy meter and affecting the normal operation of the subsequent industrial production.

[0045] Accordingly, the error of curve fitting of the voltage data of each half cycle of the electric energy meter is used, and the shape deviation and the combined cycle deviation are combined to obtain the voltage base offset correction amount of each element in the voltage data of each half cycle of the electric energy meter.

[0046] The specific method for determining the running fluctuation degree of each element in the voltage data of each half cycle of the electric energy meter by using the error of curve fitting of the voltage data of each half cycle of the electric energy meter is as follows: The fitting error of the voltage data of each half cycle of the electric energy meter and its fitting curve is calculated to form a fitting error sequence; the fitting error sequence is taken as the input of the Fourier transform algorithm, and the output of the algorithm is the frequency of the fitting error sequence and the corresponding response value; the frequency corresponding to the maximum response value and the response value corresponding to the frequency of 0 are taken as the input of the inverse Fourier transform algorithm, and the output inverse transform sequence is used to represent the oscillation coefficient of the voltage in the actual operation.

[0047] Then, the difference value sequence is obtained by subtracting the inverse transform sequence from the fitting error sequence. The larger the absolute value of the difference value is, the greater the influence of the noise on the voltage. Then, the ratio between the element at each position in the difference value sequence and the element at the corresponding position in the fitting error sequence is taken as the running fluctuation degree of each element in the voltage data of each half cycle of the electric energy meter.

[0048] Through the above steps, the running fluctuation degree of each element in the voltage data of each half cycle of the electric energy meter can be calculated. The calculation of the Fourier transform and the inverse Fourier transform is a known technology, and the specific calculation steps are not repeated here.

[0049] Therefore, the voltage base offset correction amount of each element in the voltage data of each half cycle of the electric energy meter is calculated. Taking the voltage base offset correction amount of the Ith element in the voltage data of the Jth half cycle of the electric energy meter as an example: In the formula, a voltage base bias correction amount of an Ith element in voltage data of the Jth half cycle of the electric energy meter, a shape deviation of the Ith element in voltage data of the Jth half cycle of the electric energy meter, a combined period deviation of the Jth half cycle, a running fluctuation degree of the Ith element in voltage data of the Jth half cycle of the electric energy meter.

[0050] When the difference between the voltage in the electric energy meter and the fitted voltage thereof is larger, it indicates that the voltage of the device is more unstable during operation, but the fluctuation of the voltage will affect the calculation of the voltage base bias, and the larger the fluctuation degree is, the greater the influence is. Meanwhile, in actual operation, the voltage will generate system oscillation, which does not affect the correction of the base bias. Therefore, during the correction, the system oscillation should be avoided to ensure that the voltage data in the electric energy meter is more accurate during the base bias correction, and the measurement of the electric energy used by the factory by the electric energy meter is improved.

[0051] Step 5: The voltage data of the electric energy meter is corrected in combination with the element difference between the voltage data of the electric energy meter and the standard meter to output the electric energy used by the factory.

[0052] The voltage base bias correction amount of all elements in the voltage data of each half cycle of the electric energy meter is normalized, and in this embodiment, the maximum value normalization function is adopted.

[0053] Thus, the voltage correction value of all elements in the voltage sequence of each half cycle of the electric energy meter is calculated, and the voltage correction value of the Ith element in the voltage data of the Jth half cycle of the electric energy meter is For example: In the formula, a voltage correction value of the Ith element in the voltage data of the Jth half cycle of the electric energy meter, a normalized value of the voltage base bias correction amount of the Ith element in the voltage data of the Jth half cycle of the electric energy meter, a value of the Ith element in the voltage data of the Jth half cycle of the electric energy meter, a value of the Ith element in the voltage data of the Jth half cycle of the standard meter.

[0054] Through the above steps, the three voltages under three-phase alternating current of the electric energy meter are respectively rectified, the voltage data of all half cycles after rectification is arranged in chronological order and smoothed, the smoothing algorithm adopts EMA algorithm (Exponential Moving Average) in the embodiment, the window value of the algorithm is 15 in the embodiment, and thus the correction result of the voltage data collected by the electric energy meter is obtained, so as to be used for calculating the electric energy used by the factory, wherein the electric energy calculation formula and the EMA algorithm are known technologies, and the specific calculation steps are not described herein.

[0055] The above technical features constitute the best embodiment of the application, which has strong adaptability and best implementation effect. Non-essential technical features can be added or reduced according to actual needs to meet the needs of different situations.

Claims

1. A self-calibration metering method of an intelligent explosion-proof electric meter box, characterized in that, The method comprises the following steps: The voltage data of each half cycle of the electric energy meter and the standard meter under three-phase alternating current are obtained respectively through the electric energy meter and the standard meter in the intelligent explosion-proof electric meter box; The shape deviation degree of each time in each half cycle is obtained by using the difference between the voltage data of each half cycle of the electric energy meter and the standard meter and the difference between the fitting curves thereof; The combined cycle deviation degree of each half cycle is obtained by analyzing the difference between the shape deviation degrees of adjacent two half cycles in the electric energy meter; The voltage base deviation correction amount of each element in the voltage data of each half cycle of the electric energy meter is obtained by using the error of curve fitting of the voltage data of each half cycle of the electric energy meter, combining the shape deviation degree and the combined cycle deviation degree; The voltage data of the electric energy meter is corrected in combination with the element difference between the voltage data of the electric energy meter and the standard meter, so as to output the electric energy used by the factory.

2. The self-calibration metering method of the intelligent explosion-proof electric meter box according to claim 1, wherein, There are voltage data of several half cycles in each current phase of three-phase alternating current.

3. The self-calibration metering method of the intelligent explosion-proof electric meter box according to claim 1, wherein, The method for obtaining the shape deviation degree at each time point in each half cycle is: In the formula, denotes the shape deviation degree at the i th time point in the j th half cycle, , denote the i th element in the voltage data of the electric energy meter and the voltage data of the standard meter in the j th half cycle, respectively, , denote the i th element in the fitting curve of the voltage data of the electric energy meter and the voltage data of the standard meter in the j th half cycle, respectively, denotes a preset zero multiplication adjustment factor to prevent the factor from being zero.

4. The self-calibration metering method of the intelligent explosion-proof electric meter box according to claim 1, wherein, The acquisition method of the combined period deviation of each half period is: In the formula, Combined period deviation of the jth half period, , Respectively represent the shape deviation sequence of the jth and j+1th half period, Respectively represent the shape deviation sequence of the jth and j+1th half period, Respectively represent the shape deviation sequence of the jth and j+1th half period, 5. The self-calibration metering method of the intelligent explosion-proof electric meter box according to claim 4, characterized in that, The shape deviation sequence of each half cycle is obtained by arranging the shape deviation degrees of all times in each half cycle in the order of time.

6. The self-calibration metering method of an intelligent explosion-proof electric meter box according to claim 4, wherein, when j is the last half cycle, .

7. The self-calibration metering method of the intelligent explosion-proof electric meter box according to claim 1, wherein, The voltage base deviation correction amount of each element in the voltage data of each half cycle of the electric energy meter is obtained by: The running fluctuation degree of each element in the voltage data of each half cycle of the electric energy meter is determined by using the error of curve fitting of the voltage data of each half cycle of the electric energy meter. The voltage base bias correction amount of the Ith element in the voltage data of the Jth half cycle of the electric energy meter is denoted as ; In the formula, denotes the form deviation degree of the Ith element in the voltage data of the Jth half cycle of the electric energy meter, denotes the combined period deviation degree of the Jth half cycle, denotes the running fluctuation degree of the Ith element in the voltage data of the Jth half cycle of the electric energy meter.

8. The self-calibration metering method of an intelligent explosion-proof electric meter box according to claim 7, wherein, The running fluctuation degree of each element in the voltage data of each half cycle of the electric energy meter is determined by: The fitting error of the voltage data of each half cycle of the electric energy meter and the fitting curve thereof is calculated to form a fitting error sequence; The fitting error sequence is taken as the input of the Fourier transform algorithm, and the output of the algorithm is the frequency of the fitting error sequence and the corresponding response value; the frequency corresponding to the maximum response value and the response value corresponding to the frequency of 0 are taken as the input of the inverse Fourier transform algorithm, and the output inverse transform sequence is obtained; The difference value sequence is obtained by subtracting the inverse transform sequence from the fitting error sequence, and the ratio between the element at each position in the difference value sequence and the element at the corresponding same position in the fitting error sequence is taken as the running fluctuation degree of each element in the voltage data of each half cycle of the electric energy meter.

9. The self-calibration metering method of the intelligent explosion-proof electric meter box according to claim 1, wherein, The method for correcting the voltage data of the electric energy meter is: In the formula, represents the voltage correction value of the Ith element in the voltage data of the Jth half cycle of the electric energy meter, represents the normalized value of the voltage base bias correction amount of the Ith element in the voltage data of the Jth half cycle of the electric energy meter, represents the value of the Ith element in the voltage data of the Jth half cycle of the electric energy meter, represents the value of the Ith element in the voltage data of the Jth half cycle of the standard meter.

10. The self-calibrating metering method of an intelligent explosion-proof meter box according to claim 1, wherein, After the voltage data of the electric energy meter is corrected, the voltage data of all half cycles of the electric energy meter after correction is arranged in the order of time and smoothed to obtain the correction result of the voltage data collected by the electric energy meter, so as to calculate the electric energy used by the factory.

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