A communication data acquisition method of a three-phase intelligent electric energy meter

Abstract

The present application relates to the technical field of electric meter communication management, and discloses a communication data acquisition method for a three-phase intelligent electric energy meter, comprising the following steps: step one: acquiring all collected voltage analog signals, current analog signals and sensing data of the working environment of the three-phase intelligent electric energy meter, and classifying and forming a data set; step two: according to the voltage data set and the current data set, analyzing the quality of the analog signals collected each time, generating voltage signal loss indexes and current signal loss indexes, and the signal quality evaluation is more accurate; step three: setting a monitoring cycle with a fixed time length, and then combining the environmental data set to analyze the interference degree of the working environment on the communication transmission of the three-phase intelligent electric energy meter, and generating an interference index; step four: setting fixed numerical voltage signal loss threshold values, current signal loss threshold values and interference threshold values, which are used to evaluate the distortion problem of the analog signals and the interference degree of the environmental factors, generate processing suggestions, and dynamically monitor the flexible adaptability.

Description

Technical Field

[0001] The present invention relates to the technical field of electric meter communication management, and in particular to a communication data acquisition method for a three-phase smart electric energy meter. Background Art

[0002] Three-phase smart energy meters are advanced devices for measuring three-phase electricity consumption and are widely used by industrial users and power supply management departments. Their primary functions include accurately measuring various electrical parameters in the three-phase power grid, such as voltage, current, active power, reactive power, apparent power, and power factor, for energy metering and statistics. They also support multi-rate billing, enabling peak and off-peak billing based on different time periods and electricity pricing schemes. Furthermore, these three-phase smart energy meters feature anti-theft features, data storage and transmission, load control, and self-diagnostics. Built with a high-precision metering chip and a high-speed data processor, these three-phase smart energy meters collect analog signals such as voltage and current in real time and convert them into digital signals through analog-to-digital conversion. These digital signals are then buffered and amplified by amplifier circuits before being converted by the metering chip into digital data representing the actual energy consumption. A high-performance microcontroller analyzes and processes the collected data, including time-of-use billing, demand metering, and maximum demand recording. The microcontroller also performs time-of-day active and reactive energy metering and maximum demand metering according to pre-set time periods, storing the results in a data memory. The three-phase smart energy meter is equipped with a communication module that supports multiple communication protocols, enabling data exchange with a host computer or concentrator. The communication module encapsulates the processed data according to the protocol format and transmits it to the master station system via wired or wireless means, enabling accurate energy metering, remote monitoring, and management.

[0003] Currently, traditional three-phase smart electricity meters usually need to complete analog-to-digital conversion before detecting signal quality problems, resulting in relatively serious signal distortion. Such signal distortion can easily cause electricity metering errors. In addition, under complex working conditions, electricity meters lack dynamic environmental monitoring capabilities, making it difficult to implement adaptive processing strategies based on real-time environmental interference. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, the present invention provides a communication data acquisition method for a three-phase smart electricity meter, which has the advantages of more accurate signal quality assessment, flexible dynamic monitoring and strong adaptability. It solves the problems of easy distortion of signal processing and difficulty in adaptive processing of environmental interference in traditional three-phase smart electricity meters.

[0005] To achieve the above object, the present invention provides the following technical solution: a communication data acquisition method for a three-phase smart energy meter, comprising the following steps:

[0006] Step 1: Connect the three-phase smart energy meter and the sensor device through the network to obtain all collected voltage analog signals, current analog signals, and sensor data of the working environment of the three-phase smart energy meter, and classify them into a voltage data set, a current data set, and an environmental data set;

[0007] Step 2: Analyze the quality of the analog signal collected each time based on the voltage and current data sets, and generate the corresponding voltage signal loss index and current signal loss index ;

[0008] Step 3: Set a fixed monitoring period , combined with the environmental data set, analyze the interference degree of the working environment on the communication transmission of the three-phase smart energy meter and generate the corresponding interference index ;

[0009] Step 4: Set a fixed voltage signal loss threshold , current signal loss threshold and interference threshold , used to evaluate the distortion of analog signals and the degree of interference from environmental factors, and generate corresponding processing suggestions.

[0010] Preferably, in step 1, the expression of the voltage data set is , to Indicates the first to Sub-voltage analog signal, voltage analog signal includes instantaneous amplitude, instantaneous harmonic frequency and phase offset information, Indicates the time point at which the voltage analog signal is obtained.

[0011] Preferably, in step 1, the expression of the current data set is , to Indicates the first to Secondary current analog signal, the current analog signal includes instantaneous amplitude, instantaneous harmonic frequency and phase offset information, Indicates the time point at which the current analog signal is obtained.

[0012] Preferably, in step 1, the expression of the environmental data set is , Indicates the electromagnetic radiation value, represents the noise frequency, Indicates temperature, Indicates the time point when the working environment sensor data is obtained.

[0013] Preferably, in step 2, the voltage signal loss index The calculation process is as follows:

[0014] According to the voltage data set, extract the The second voltage analog signal, and the The instantaneous amplitude of the subvoltage analog signal is marked as , will The instantaneous harmonic frequency of the subvoltage analog signal is marked as , will The phase shift of the sub-voltage analog signal is marked as , will receive the The time points of the secondary voltage analog signal are marked as ;

[0015] According to the environmental data set, obtain the three-phase smart energy meter at the time point When the working environment temperature ;

[0016]

[0017] In the formula, Indicates the rated amplitude of the grid voltage, Represents the conversion coefficient, which is used to convert the voltage value into a dimensionless value. represents the weight for the dimensionless voltage absolute difference, Indicates the inherent harmonic frequency of the grid voltage, Indicates the weight of the ratio of instantaneous harmonic frequency to rated harmonic frequency, Indicates the standard value used to measure the phase offset. Represents the weight of the ratio of phase offset to standard value, 、 and are constants, and , Indicates that 、 and Weight, calculate the Subvoltage signal loss index .

[0018] Preferably, in step 2, the current signal loss index The calculation process is as follows:

[0019] According to the current data set, extract the The second current analog signal, and the The instantaneous amplitude of the secondary current analog signal is marked as , will The instantaneous harmonic frequency of the sub-current analog signal is marked as , will The phase shift of the secondary current analog signal is marked as , will receive the The time points of the secondary current simulation signal are marked as ;

[0020] According to the environmental data set, obtain the three-phase smart energy meter at the time point When the working environment temperature ;

[0021]

[0022] In the formula, Indicates the rated amplitude of the grid current, Indicates the correction coefficient, which is used to correct the ratio of instantaneous amplitude to rated amplitude. represents the weight for the corrected amplitude ratio, , Indicates the inherent harmonic frequency of the grid current, Indicates the weight of the ratio of instantaneous harmonic frequency to rated harmonic frequency, Indicates the standard value used to measure the phase offset. Represents the weight of the ratio of phase offset to standard value, 、 and are constants, and , Indicates that 、 and Weight, calculate the Subcurrent signal loss index .

[0023] Preferably, in step 3, the interference index The calculation process is as follows:

[0024] According to the environmental data set, the current time point The electromagnetic radiation value is marked as , the current time point The noise frequency is marked as , , and then calculate the monitoring cycle The change in electromagnetic radiation value is recorded as ;

[0025] Get the current time point through the three-phase smart energy meter Operating frequency ;

[0026]

[0027] In the formula, Represents the conversion coefficient, which is used to convert the electromagnetic radiation value into a dimensionless value. Represents the weight for the electromagnetic radiation value, Indicates the monitoring period The weight of the absolute value change of electromagnetic radiation value, Represents the weight for the ratio of noise frequency to operating frequency, 、 and are constants, and , Indicates that 、 and Weight, calculate the working environment at the current time point Interference index .

[0028] Preferably, in step 4, the voltage signal loss index Exceeding the voltage signal loss threshold When , it means that the quality of the voltage analog signal is poor and there is a distortion problem in the analog-to-digital conversion process of the three-phase smart electricity meter. The three-phase load should be balanced in time, and a low-pass filter should be installed to address the high-frequency harmonic problem.

[0029] Preferably, in step 4, the current signal loss index Exceeding the current signal loss threshold When , it means that the quality of the current analog signal is poor and there is a distortion problem in the analog-to-digital conversion process of the three-phase smart energy meter. The three-phase load should be balanced in time, and a low-pass filter should be installed to address the high-frequency harmonic problem.

[0030] Preferably, in step 4, the interference index Exceeding the interference threshold When , it means that environmental factors have seriously affected the communication transmission of the three-phase smart energy meter, resulting in excessive energy error. The channel should be switched and frequency modulation should be performed in time.

[0031] Compared with the prior art, the present invention provides a communication data acquisition method for a three-phase smart energy meter, which has the following beneficial effects:

[0032] 1. The present invention connects the three-phase smart energy meter and the sensor device through the network to obtain all collected voltage analog signals, current analog signals and sensor data of the working environment of the three-phase smart energy meter, and classifies them into voltage data sets, current data sets and environmental data sets. Based on the voltage data sets and current data sets, the quality of the analog signals collected each time is analyzed and the corresponding voltage signal loss index is generated. and current signal loss index The voltage signal is allowed to fluctuate within a small range. When evaluating, special attention should be paid to the signal accuracy near the three-phase smart meter, as well as the problem of instantaneous overvoltage or undervoltage. The weight can be adjusted according to the actual scenario to adapt to the needs of different power grid environments, making the signal quality assessment more accurate.

[0033] 2. The present invention sets a fixed-length monitoring cycle , combined with the environmental data set, analyze the interference degree of the working environment on the communication transmission of the three-phase smart energy meter and generate the corresponding interference index , dynamically track the trend of electromagnetic radiation changes, avoid accidental errors in single-point data, improve the reliability of interference assessment, and set a fixed value voltage signal loss threshold , current signal loss threshold and interference threshold It is used to evaluate the distortion of analog signals and the degree of interference from environmental factors, generate corresponding processing suggestions, and quickly locate the type of problem. It significantly improves the accuracy of electricity metering, communication stability, and equipment reliability, and provides technical support for the efficient operation and maintenance of smart grids. Dynamic monitoring has strong flexible adaptability. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a step diagram of the method of the present invention. DETAILED DESCRIPTION

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0036] Because traditional three-phase smart energy meters usually need to complete analog-to-digital conversion before detecting signal quality problems, resulting in relatively serious signal distortion, the signal distortion can easily lead to energy measurement errors. In addition, under complex working conditions, the energy meter lacks dynamic environmental monitoring capabilities and is difficult to implement adaptive processing strategies based on real-time environmental interference. Therefore, a communication data acquisition method for three-phase smart energy meters is provided. Figure 1 , a communication data acquisition method for a three-phase smart electric energy meter, comprising the following steps:

[0037] Step 1: Connect the three-phase smart energy meter and sensor device via the network to obtain all collected voltage analog signals, current analog signals, and sensor data of the three-phase smart energy meter's working environment. These data are then classified into voltage, current, and environmental datasets. These datasets are uniformly timestamped to ensure the temporal relevance of the data and provide a basis for dynamic analysis of signal quality and environmental interference.

[0038] The expression for the voltage data set is , to Indicates the first to Sub-voltage analog signal, voltage analog signal includes instantaneous amplitude, instantaneous harmonic frequency and phase offset information, Indicates the time point of obtaining the voltage analog signal;

[0039] The expression for the current data set is , to Indicates the first to Secondary current analog signal, the current analog signal includes instantaneous amplitude, instantaneous harmonic frequency and phase offset information, Indicates the time point of obtaining the current analog signal;

[0040] The expression of the environment dataset is , Indicates the electromagnetic radiation value, represents the noise frequency, Indicates temperature, Indicates the time point for acquiring working environment sensor data. When there is a strong radio transmitter nearby, the high-frequency electromagnetic waves emitted by it may be received by the power meter's circuit, resulting in data transmission errors;

[0041] Step 2: Analyze the quality of the analog signal collected each time based on the voltage and current data sets, and generate the corresponding voltage signal loss index and current signal loss index ;

[0042] Voltage signal loss index The calculation process is as follows:

[0043] According to the voltage data set, extract the The second voltage analog signal, and the The instantaneous amplitude of the subvoltage analog signal is marked as , will The instantaneous harmonic frequency of the subvoltage analog signal is marked as , will The phase shift of the sub-voltage analog signal is marked as , will receive the The time points of the secondary voltage analog signal are marked as ;

[0044] According to the environmental data set, obtain the three-phase smart energy meter at the time point When the working environment temperature ;

[0045]

[0046] In the formula, Indicates the rated amplitude of the grid voltage, Represents the conversion coefficient, which is used to convert the voltage value into a dimensionless value. represents the weight for the dimensionless voltage absolute difference, Indicates the inherent harmonic frequency of the grid voltage, Indicates the weight of the ratio of instantaneous harmonic frequency to rated harmonic frequency, Indicates the standard value used to measure the phase offset. Represents the weight of the ratio of phase offset to standard value, 、 and are constants, and , Indicates that 、 and Weight, calculate the Subvoltage signal loss index The voltage signal is allowed to fluctuate within a small range. When evaluating, special attention should be paid to the signal accuracy near the three-phase smart meter, as well as the problem of instantaneous overvoltage or undervoltage.

[0047] Current signal loss index The calculation process is as follows:

[0048] According to the current data set, extract the The second current analog signal, and the The instantaneous amplitude of the secondary current analog signal is marked as , will The instantaneous harmonic frequency of the sub-current analog signal is marked as , will The phase shift of the secondary current analog signal is marked as , will receive the The time points of the secondary current simulation signal are marked as ;

[0049] According to the environmental data set, obtain the three-phase smart energy meter at the time point When the working environment temperature ;

[0050]

[0051] In the formula, Indicates the rated amplitude of the grid current, Indicates the correction coefficient, which is used to correct the ratio of instantaneous amplitude to rated amplitude. represents the weight for the corrected amplitude ratio, , Indicates the inherent harmonic frequency of the grid current, Indicates the weight of the ratio of instantaneous harmonic frequency to rated harmonic frequency, Indicates the standard value used to measure the phase offset. Represents the weight of the ratio of phase offset to standard value, 、 and are constants, and , Indicates that 、 and Weight, calculate the Subcurrent signal loss index , the weight can be adjusted according to the actual scenario, adapting to the needs of different power grid environments, and making signal quality assessment more accurate;

[0052] Step 3: Set a fixed monitoring period , combined with the environmental data set, analyze the interference degree of the working environment on the communication transmission of the three-phase smart energy meter and generate the corresponding interference index ;

[0053] Interference Index The calculation process is as follows:

[0054] According to the environmental data set, the current time point The electromagnetic radiation value is marked as , the current time point The noise frequency is marked as , , and then count the monitoring cycle The change in electromagnetic radiation value is recorded as ;

[0055] Get the current time point through the three-phase smart energy meter Operating frequency ;

[0056]

[0057] In the formula, Represents the conversion coefficient, which is used to convert the electromagnetic radiation value into a dimensionless value. Represents the weight for the electromagnetic radiation value, Indicates the monitoring period The weight of the absolute value change of electromagnetic radiation value, Represents the weight for the ratio of noise frequency to operating frequency, 、 and are constants, and , Indicates that 、 and Weight, calculate the working environment at the current time point Interference index , quantify the degree of environmental interference on communications, dynamically track the trend of electromagnetic radiation changes, avoid accidental errors in single-point data, and improve the reliability of interference assessment;

[0058] Step 4: Set a fixed voltage signal loss threshold , current signal loss threshold and interference threshold , used to evaluate the distortion of analog signals and the degree of interference from environmental factors, and generate corresponding processing suggestions to quickly locate the type of problem, thereby ensuring communication stability;

[0059] Since analog-to-digital conversion (A / D) converts continuous analog signals into discrete digital signals, if the analog signal itself is of poor quality, the converted digital signal cannot accurately reflect the original voltage information, resulting in distortion. This distortion may manifest as numerical deviation, waveform distortion, etc., which in turn affects the accurate measurement of electric energy by the electric energy meter and the correct judgment of the power consumption status.

[0060] Voltage signal loss index Exceeding the voltage signal loss threshold When , it indicates that the voltage analog signal quality is poor and there is distortion in the analog-to-digital conversion process of the three-phase smart energy meter. The three-phase load should be balanced in time, and a low-pass filter should be installed to address the high-frequency harmonic problem.

[0061] Current signal loss index Exceeding the current signal loss threshold When , it indicates that the quality of the current analog signal is poor and there is distortion in the analog-to-digital conversion process of the three-phase smart energy meter. The three-phase load should be balanced in time, and a low-pass filter should be installed to suppress high-frequency noise and harmonic interference.

[0062] Interference Index Exceeding the interference threshold When the signal is displayed, it indicates that environmental factors have seriously affected the communication transmission of the three-phase smart electricity meter, resulting in excessive energy errors. The channel should be switched and frequency modulation should be performed in time, which significantly improves the accuracy of electricity metering, communication stability and equipment reliability, provides technical support for the efficient operation and maintenance of the smart grid, and has strong dynamic monitoring and flexible adaptability.

[0063] Example 1:

[0064] In this experiment, a three-phase smart energy meter that collects voltage analog signals is selected as the experimental object. After testing, the instantaneous amplitude of the signal is 230V, the instantaneous harmonic frequency is 51Hz, the phase offset is 0.05rad, and the working environment temperature of the three-phase smart energy meter is 30℃. The voltage signal loss index of the signal is The calculation process is as follows:

[0065]

[0066]

[0067] In the formula, Indicates the rated amplitude of the grid voltage, Represents the conversion coefficient, which is used to convert the voltage value into a dimensionless value. represents the weight for the dimensionless voltage absolute difference, Indicates the inherent harmonic frequency of the grid voltage, Indicates the weight of the ratio of instantaneous harmonic frequency to rated harmonic frequency, Indicates the standard value used to measure the phase offset. Represents the weight of the ratio of phase offset to standard value, 、 and are constants, and ,according to 、 and Weight, calculate the voltage signal loss index of the signal for , voltage signal loss threshold Set to 1, after judgment, the voltage signal loss index of the signal The voltage signal loss threshold has been exceeded , indicating that the quality of the voltage analog signal is poor and there is distortion in the analog-to-digital conversion process of the three-phase smart electricity meter. The three-phase load should be balanced in time, and a low-pass filter should be installed to address the high-frequency harmonic problem.

[0068] Example 2:

[0069] In this experiment, a three-phase smart energy meter that collects current analog signals is selected as the experimental object. After testing, the instantaneous amplitude of the signal is 25A, the instantaneous harmonic frequency is 51Hz, the phase offset is 0.04rad, and the working environment temperature of the three-phase smart energy meter is 28℃. The current signal loss index of the signal is The calculation process is as follows:

[0070]

[0071]

[0072] In the formula, Indicates the rated amplitude of the grid current, Indicates the correction coefficient, which is used to correct the ratio of instantaneous amplitude to rated amplitude. represents the weight for the corrected amplitude ratio, , Indicates the inherent harmonic frequency of the grid current, Indicates the weight of the ratio of instantaneous harmonic frequency to rated harmonic frequency, Indicates the standard value used to measure the phase offset. Represents the weight of the ratio of phase offset to standard value, 、 and are constants, and ,according to 、 and Weight, calculate the current signal loss index of the signal for , current signal loss threshold Set to 0.9, after judgment, the current signal loss index of this signal The current signal loss threshold has been exceeded , indicating that the quality of the current analog signal is poor and there is distortion in the analog-to-digital conversion process of the three-phase smart electricity meter. The three-phase load should be balanced in time, and a low-pass filter should be installed to address the high-frequency harmonic problem.

[0073] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A communication data acquisition method for a three-phase smart electric energy meter, characterized in that: The following steps are involved: Step 1: Connect the three-phase smart energy meter and the sensor device through the network to obtain all collected voltage analog signals, current analog signals, and sensor data of the working environment of the three-phase smart energy meter, and classify them into a voltage data set, a current data set, and an environmental data set; Step 2: Analyze the quality of the analog signal collected each time based on the voltage and current data sets, and generate the corresponding voltage signal loss index and current signal loss index ; Voltage signal loss index The calculation process is as follows: According to the voltage data set, extract the The second voltage analog signal, and the The instantaneous amplitude of the subvoltage analog signal is marked as , will The instantaneous harmonic frequency of the subvoltage analog signal is marked as , will The phase shift of the sub-voltage analog signal is marked as , will receive the The time points of the secondary voltage analog signal are marked as ; According to the environmental data set, obtain the three-phase smart energy meter at the time point When the working environment temperature ; In the formula, Indicates the rated amplitude of the grid voltage, Represents the conversion coefficient, which is used to convert the voltage value into a dimensionless value. represents the weight for the dimensionless voltage absolute difference, Indicates the inherent harmonic frequency of the grid voltage, Indicates the weight of the ratio of instantaneous harmonic frequency to rated harmonic frequency, Indicates the standard value used to measure the phase offset. Represents the weight of the ratio of phase offset to standard value, 、 and are constants, and , Indicates that 、 and Weight, calculate the Subvoltage signal loss index ; Current signal loss index The calculation process is as follows: According to the current data set, extract the The second current analog signal, and the The instantaneous amplitude of the secondary current analog signal is marked as , will The instantaneous harmonic frequency of the sub-current analog signal is marked as , will The phase shift of the secondary current analog signal is marked as , will receive the The time points of the secondary current simulation signal are marked as ; According to the environmental data set, obtain the three-phase smart energy meter at the time point When the working environment temperature ; In the formula, Indicates the rated amplitude of the grid current, Indicates the correction coefficient, which is used to correct the ratio of instantaneous amplitude to rated amplitude. represents the weight for the corrected amplitude ratio, , Indicates the inherent harmonic frequency of the grid current, Indicates the weight of the ratio of instantaneous harmonic frequency to rated harmonic frequency, Indicates the standard value used to measure the phase offset. Represents the weight of the ratio of phase offset to standard value, 、 and are constants, and , Indicates that 、 and Weight, calculate the Subcurrent signal loss index ; Step 3: Set a fixed monitoring period , combined with the environmental data set, analyze the interference degree of the working environment on the communication transmission of the three-phase smart energy meter and generate the corresponding interference index ; Step 4: Set a fixed voltage signal loss threshold , current signal loss threshold and interference threshold , used to evaluate the distortion of analog signals and the degree of interference from environmental factors, and generate corresponding processing suggestions.

2. The communication data acquisition method of a three-phase smart electric energy meter according to claim 1, characterized in that: In step 1, the expression of the voltage data set is: , to Indicates the first to Sub-voltage analog signal, voltage analog signal includes instantaneous amplitude, instantaneous harmonic frequency and phase offset information, Indicates the time point at which the voltage analog signal is obtained.

3. The communication data acquisition method of a three-phase smart electric energy meter according to claim 2, characterized in that: In step 1, the expression of the current data set is: , to Indicates the first to Secondary current analog signal, the current analog signal includes instantaneous amplitude, instantaneous harmonic frequency and phase offset information, Indicates the time point at which the current analog signal is obtained.

4. The communication data acquisition method of a three-phase smart electric energy meter according to claim 3, characterized in that: In step 1, the expression of the environmental data set is , Indicates the electromagnetic radiation value, represents the noise frequency, Indicates temperature, Indicates the time point when the working environment sensor data is obtained.

5. The communication data acquisition method of a three-phase smart electric energy meter according to claim 4, characterized in that: In step 3, the interference index The calculation process is as follows: According to the environmental data set, the current time point The electromagnetic radiation value is marked as , the current time point The noise frequency is marked as , , and then count the monitoring cycle The change in electromagnetic radiation value is recorded as ; Get the current time point through the three-phase smart energy meter Operating frequency ; In the formula, Represents the conversion coefficient, which is used to convert the electromagnetic radiation value into a dimensionless value. Represents the weight for the electromagnetic radiation value, Indicates the monitoring period The weight of the absolute value change of electromagnetic radiation value, Represents the weight for the ratio of noise frequency to operating frequency, 、 and are constants, and , Indicates that 、 and Weight, calculate the working environment at the current time point Interference index .

6. The communication data acquisition method of a three-phase smart electric energy meter according to claim 5, characterized in that: Step 4: Voltage signal loss index Exceeding the voltage signal loss threshold When , it means that the quality of the voltage analog signal is poor and there is a distortion problem in the analog-to-digital conversion process of the three-phase smart electricity meter. The three-phase load should be balanced in time, and a low-pass filter should be installed to address the high-frequency harmonic problem.

7. The communication data acquisition method of a three-phase smart electric energy meter according to claim 6, characterized in that: Step 4: Current signal loss index Exceeding the current signal loss threshold When , it means that the quality of the current analog signal is poor and there is a distortion problem in the analog-to-digital conversion process of the three-phase smart energy meter. The three-phase load should be balanced in time, and a low-pass filter should be installed to address the high-frequency harmonic problem.

8. The communication data acquisition method of a three-phase smart electric energy meter according to claim 7, characterized in that: Step 4: Interference Index Exceeding the interference threshold When , it means that environmental factors have seriously affected the communication transmission of the three-phase smart energy meter, resulting in excessive energy error. The channel should be switched and frequency modulation should be performed in time.

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