A smart meter quality inspection system for a sorting platform

Abstract

This invention relates to the field of electricity meter testing and discloses an intelligent electricity meter quality testing system for a sorting platform. The system initially screens returned electricity meters delivered to the testing area, identifying qualified, unqualified, and untested returned meters. By comparing and analyzing the power data of the untested returned meters with historical power data, the system detects the trends in power transmission differences, thereby identifying unqualified untested returned meters. Based on the energy efficiency data of the untested returned meters and its historical energy efficiency data, the system determines whether the untested returned meters are qualified. Qualified and unqualified returned meters are automatically sorted into qualified and unqualified areas, respectively. The sorting results are then fed back to the management terminal. This facilitates a comprehensive analysis and comparison of meter energy efficiency and status, leading to more accurate screening and sorting of returned meters, thus improving sorting efficiency and accuracy.

Description

Technical Field

[0001] This invention relates to the field of electricity meter testing technology, and more specifically to a smart electricity meter quality testing system for a sorting platform. Background Technology

[0002] As a crucial component of electricity meter quality inspection, the sorting platform needs to be able to quickly and accurately classify and process electricity meters. However, traditional sorting methods often rely on manual operation, resulting in low sorting efficiency and high error rates. Therefore, electricity meter quality sorting systems have emerged. By utilizing mature intelligent programmable electricity meter verification devices and advanced mechanical and electronic automated production control technologies, intelligent and automated sorting of all processes in the verification of smart electricity meters can be achieved.

[0003] However, the above process still has the following drawbacks:

[0004] Firstly, existing electricity meter sorting systems may only be able to perform basic classification during the initial screening, including qualified and unqualified, but cannot perform more detailed classification and evaluation of electricity meters, which leads to errors in the sorting results.

[0005] Secondly, the existing electricity meter sorting system lacks the ability to evaluate the energy efficiency and condition of electricity meters by comparing and analyzing historical data, and to further screen out unqualified electricity meters based on their energy efficiency and condition, resulting in low sorting efficiency and inaccurate sorting. Summary of the Invention

[0006] In order to overcome the above-mentioned defects of the prior art, the present invention provides a smart meter quality inspection system for a sorting platform to solve the problems existing in the background art.

[0007] This invention provides the following technical solution: a smart meter quality inspection system for a sorting platform, comprising:

[0008] Meter delivery module: Uses sensors and a robotic arm to deliver returned meters to the inspection area;

[0009] Meter Preliminary Screening Module: This module performs preliminary inspections and processing on returned electricity meters delivered to the testing area. The preliminary inspections include appearance inspection, functional inspection, and performance inspection. A comprehensive quality score is calculated, and qualified returned electricity meters, unqualified returned electricity meters, and returned electricity meters to be tested are preliminarily screened based on the comprehensive quality score. These are then marked and classified.

[0010] Data acquisition module: Used to collect data from the returned electricity meters under test. By setting a stable output power supply on the sorting platform, the returned electricity meters under test are connected to the stable output power supply. The built-in sensors of the returned electricity meters under test measure and collect power data in real time, and transmit the collected power data to the data processing module.

[0011] Data processing module: By preprocessing and storing power data, it then filters out power data that affects changes in power transmission, obtaining voltage change rate, current change rate, frequency change rate, active power change rate, reactive power change rate, harmonic change rate, and phase change rate, and transmits the filtered power data to the data comparison and analysis module.

[0012] Historical Feature Analysis Module: By retrieving historical power data from decommissioned meters in the database, the module performs feature analysis on the historical power data to obtain the average voltage change rate, average current change rate, average frequency change rate, average active power change rate, average reactive power change rate, average harmonic change rate, and average phase change rate. The results of the feature analysis are then transmitted to the data comparison and analysis module.

[0013] Data comparison and analysis module: By combining the selected power data with historical power data for comparative analysis, the power transmission change difference coefficient is calculated. The power state change difference coefficient is used to detect the difference change trend in the power transmission process, determine whether the meter to be tested is in a stable state during use, thereby screening out unqualified meters to be tested and marking them.

[0014] Energy efficiency assessment module: By further screening and classifying the decommissioned electricity meters to be tested, the module analyzes the energy efficiency data of the screened decommissioned electricity meters with historical energy efficiency data to obtain the energy efficiency assessment coefficient of the smart meters. The module uses the energy efficiency assessment coefficient to evaluate in real time whether there are energy efficiency anomalies in the decommissioned electricity meters to be tested, thereby determining whether the decommissioned electricity meters to be tested are qualified, and classifying and marking qualified and unqualified decommissioned electricity meters to be tested.

[0015] Intelligent sorting module: By using automated equipment to perform comprehensive intelligent sorting of returned electricity meters, the returned electricity meters are automatically sorted into qualified and unqualified areas according to the qualified and unqualified markings of the returned electricity meters;

[0016] Information feedback module: It records the sorting information of returned electricity meters, feeds the sorting results back to the management terminal, and automatically generates a prompt message indicating that sorting is complete.

[0017] Preferably, the meter input module manually places the returned meter at a designated position in the input area by hand. The infrared sensor in the input area detects the input status of the returned meter and sends the detected information of the returned meter to the controller. After receiving the information sent by the infrared sensor, the controller analyzes and determines the type and position of the meter. According to the type and position of the meter, the controller generates corresponding robotic arm movement instructions, transmits the robotic arm movement instructions to the end effector of the robotic arm by the controller, and then places the returned meter at a designated position in the detection area through the end effector of the robotic arm.

[0018] Preferably, the specific analysis steps of the comprehensive quality score of the meter initial screening module include:

[0019] Step S211: By using a visual inspection tool, according to the appearance inspection standard of the returned meter, judge the appearance defect G. If there is an appearance defect in the returned meter, set , if there is no appearance defect in the returned meter, set ;

[0020] Step S212: By using a dedicated meter test instrument to detect various functions Z of the meter item by item, including measurement accuracy, communication function and display function. For each function , if the detected function is normal, set , if the detected function is abnormal, set ;

[0021] Step S213: By using a standard watt-hour meter calibration device to test the metering performance Y of the meter, and then according to the actual value of the metering performance and the standard value of the metering performance calculate the metering performance ;

[0022] Step S214: Calculate the comprehensive quality score of the returned meter:

[0023] , is the weight coefficient;

[0024] Screen the returned meters one by one according to the comprehensive quality score, and record the comprehensive quality score of each returned meter in the screening process. If the comprehensive quality score is higher than the preset passing score line, judge the detected meter as qualified and mark the meter as qualified. If the comprehensive quality score is lower than the preset passing score line and , judge the detected meter as unqualified and mark the meter as unqualified. If the comprehensive quality score The preset passing score, and If the detected meter is identified as a decommissioned meter to be tested, the data will be transmitted to the data acquisition module.

[0025] Preferably, the data acquisition module provides a stable power supply to the meter under test and uses built-in sensors to measure and acquire power data in real time.

[0026] Preferably, the data processing module performs data preprocessing on the collected power data, including data cleaning, data filtering, and data transformation. The database then stores the collected power data and creates a data table for collection time. The processed power data is categorized and stored in this table according to the data collection time. The database is connected to all modules to store all output data. Power data from different collection times is updated and queried in real time within the database based on the collection time. Finally, power data from two adjacent time points is filtered out, including voltage change rate. Current change rate Rate of change of frequency Active power change rate Reactive power change rate Harmonic variation rate and the rate of phase change .

[0027] Preferably, the historical feature analysis module extracts historical power data from the database at 1, 2, 3...n historical collection times to comprehensively analyze the characteristic changes of power data within a historical time period, and calculates the average voltage change rate, average current change rate, average frequency change rate, average active power change rate, average reactive power change rate, average harmonic change rate, and average phase change rate, respectively using... , , , , , and It means, and , , , , , and The expression is as follows:

[0028]

[0029]

[0030]

[0031]

[0032]

[0033]

[0034]

[0035] in, This represents the rate of change of voltage across 1, 2, 3...n historical data collections. This represents the rate of change of current in historical data collections 1, 2, 3...n. This represents the rate of change of frequency in historical data collections 1, 2, 3...n. This represents the rate of change of active power in historical data collections 1, 2, 3...n. This represents the rate of change of reactive power in historical data collections 1, 2, 3...n. This represents the harmonic variation rate of historical data collections at times 1, 2, 3...n. This represents the phase change rate of historical acquisitions 1, 2, 3...n.

[0036] Preferably, the data comparison and analysis module calculates the power transmission variation difference coefficient by comparing and analyzing the power data with historical power data, using the following formula:

[0037]

[0038] in, Indicates the rate of change of voltage. Indicates the rate of change of current. Indicates the rate of change of frequency. Indicates the rate of change of active power. Indicates the rate of change of reactive power. Represents the rate of change of harmonics. Indicates the rate of phase change. This represents the average rate of change of voltage. This represents the average rate of change of current. This represents the average rate of change of frequency. This represents the average rate of change of active power. This represents the average rate of change of reactive power. This represents the average harmonic variation rate. This represents the average rate of phase change.

[0039] By comparing the power transmission variation difference coefficient with a preset power transmission variation difference threshold, it is determined whether the power transmission process is in a stable state. If the power transmission variation difference coefficient L... Preset threshold for power transmission variation This indicates that the power transmission process is in a stable state, and the energy efficiency of the meter to be decommissioned will be further analyzed. If the power transmission variation coefficient L... Preset threshold for power transmission variation If the signal indicates that the power transmission process is in an unstable state, the meter to be tested and returned to service is deemed unqualified and marked as unqualified.

[0040] Preferably, the energy efficiency assessment module calculates the energy efficiency assessment coefficient by analyzing the difference between current energy efficiency and historical energy efficiency using the following formula:

[0041]

[0042] in, This indicates the current output power value. This indicates the current electricity consumption. This represents the historical output power value of the i-th historical acquisition. This represents the historical power consumption of the i-th historical data collection, and n represents the total number of historical data collections.

[0043] By comparing the energy efficiency evaluation coefficient with a preset energy efficiency evaluation threshold, if the energy efficiency evaluation coefficient E... Preset energy efficiency assessment threshold If the energy efficiency level of the meter under test is good, then the meter under test is judged as qualified and marked as qualified. If the energy efficiency evaluation coefficient E Preset energy efficiency assessment threshold If the energy efficiency level of the meter to be tested is low, the meter to be tested will be judged as unqualified and marked as unqualified.

[0044] Preferably, the intelligent sorting module transports returned electricity meters to the sorting node via a conveyor belt, reads the meter marking information at the sorting node based on sensors, and then a robotic arm places the electricity meters into the corresponding area.

[0045] Preferably, the information feedback module automatically records and saves the destination of each returned meter after sorting in the database, and sends a sorting completion notification message through the management personnel terminal.

[0046] The technical effects and advantages of this invention are as follows:

[0047] This invention performs preliminary inspection and processing on returned electricity meters delivered to the testing area, thereby initially screening out qualified returned electricity meters, unqualified returned electricity meters, and returned electricity meters awaiting testing. This facilitates a more detailed classification of returned electricity meters, making the classification more accurate. Further screening and classification of the returned electricity meters awaiting testing involves comparing and analyzing the selected power data with historical power data to detect differences and trends in power transmission, determining whether the returned electricity meters are in a stable state during use, and thus screening out unqualified returned electricity meters awaiting testing. The meters are further screened and categorized. Based on the energy efficiency data of the selected meters to be tested and compared with historical energy efficiency data, it is determined whether the meters to be tested are qualified. Qualified meters to be tested and unqualified meters to be tested are classified and marked. Based on the qualified and unqualified markings, the meters to be tested are automatically sorted into qualified and unqualified areas. The sorting results are then fed back to the management terminal, which is conducive to a comprehensive analysis and comparison of meter energy efficiency and status, thereby more accurately screening and sorting the meters to be tested, thus improving the sorting efficiency and accuracy. Attached Figure Description

[0048] Figure 1 This is a flowchart of a smart meter quality inspection system for a sorting platform according to the present invention. Detailed Implementation

[0049] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. In addition, the forms of the various structures described in the following embodiments are merely illustrative. The smart meter quality inspection system for sorting platforms involved in the present invention is not limited to the structures described in the following embodiments. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0050] like Figure 1 The embodiment shown provides a smart meter quality inspection system for a sorting platform, including:

[0051] Meter delivery module: Uses sensors and robotic arms to deliver returned meters to the inspection area.

[0052] In this embodiment, the meter input module allows manual placement of the decommissioned meter at a designated location in the input area. An infrared sensor in the input area detects the input status of the decommissioned meter and sends the detected information to the controller. Upon receiving the information from the infrared sensor, the controller analyzes and determines the type and location of the meter. Based on the meter's type and location, the controller generates corresponding robotic arm movement commands. These commands are then transmitted to the robotic arm's end effector, which places the decommissioned meter at the designated location in the detection area.

[0053] The meter initial screening module performs preliminary inspections and processing on the returned electricity meters delivered to the testing area. The preliminary inspections include appearance inspection, functional inspection, and performance inspection, and calculates a comprehensive quality score. Based on the comprehensive quality score, qualified returned electricity meters, unqualified returned electricity meters, and returned electricity meters to be tested are initially screened out, and then marked and classified.

[0054] In this embodiment, the specific analysis steps for the comprehensive quality score of the meter initial screening module include:

[0055] Step S211: Using a visual inspection tool, determine the appearance defect G according to the appearance inspection standard for returned meters. If the returned meter has an appearance defect, then set... If the returned meter does not have any visual defects, then set ;

[0056] Step S212: Using specialized meter testing instruments, test each function Z of the meter, including metering accuracy, communication function, and display function. For each function... If the detection function is normal, then set If the detection function is not working properly, then set... ;

[0057] Step S213: Test the metering performance Y of the meter using a standard electricity meter calibration device, and then determine the actual value of the metering performance. Compared with the metrological performance standard value Calculate the metrological performance ;

[0058] Step S214: Calculate the overall quality score of the returned electricity meter:

[0059] , These are the weighting coefficients;

[0060] The returned electricity meters were screened one by one based on their overall quality scores, and the overall quality score of each returned electricity meter was recorded during the screening process. is less than the preset passing score line, the detected electric meter is determined to be qualified, and the electric meter is marked as qualified. If the comprehensive quality score is less than the preset passing score line, and , the detected electric meter is determined to be unqualified, and the electric meter is marked as unqualified. If the comprehensive quality score is less than the preset passing score line, and , the detected electric meter is determined to be an electric meter to be returned for inspection, and the electric meter to be returned for inspection is transmitted to the data acquisition module.

[0061] Data acquisition module: Used to collect data from the electric meter to be returned for inspection. By setting a stable output power supply on the sorting platform, connecting the electric meter to be returned for inspection to the stable output power supply, and measuring and collecting power data in real time through the built-in sensor of the electric meter to be returned for inspection, and transmitting the collected power data to the data processing module.

[0062] In this embodiment, the data acquisition module provides a stable power supply for the electric meter to be returned for inspection, and measures and collects power data in real time through the built-in sensor.

[0063] Data processing module: By performing data preprocessing and storage on the power data, then screening out the power data that affects the power transmission change from the power data, obtaining the voltage change rate, current change rate, frequency change rate, active power change rate, reactive power change rate, harmonic change rate, and phase change rate, and transmitting the screened power data to the data comparison and analysis module.

[0064] In this embodiment, the process of the data processing module performing data preprocessing on the collected power data includes data cleaning, data filtering, and data conversion. Then the database is responsible for storing the collected power data, and creating a collection time data table in the database, classifying and storing the processed power data into the collection time data table according to the data collection time. Connecting the database to all modules for storing all output data, and updating and querying the power data at different collection times in the database in real time through the collection time. Then, by screening out the power data of two adjacent time points collected from the power data, the screened power data includes the voltage change rate , current change rate , frequency change rate , active power change rate , reactive power change rate , harmonic change rate , and phase change rate .

[0065] Specifically, by separately calculating the voltage change rate , current change rate Rate of change of frequency Active power change rate Reactive power change rate Harmonic variation rate and the rate of phase change The specific expression for the calculation is as follows:

[0066]

[0067]

[0068]

[0069]

[0070]

[0071]

[0072]

[0073] in, This indicates the currently collected voltage value. This indicates the voltage value from the previous measurement. This indicates the currently collected current value. This indicates the current value collected in the previous measurement. This indicates the currently collected power grid frequency value. This represents the previously collected power grid frequency value. This indicates the currently collected active power value. This represents the active power value collected in the previous dataset. This indicates the currently collected reactive power value. This represents the reactive power value collected in the previous dataset. This indicates the currently collected harmonic content value. This indicates the harmonic content value collected in the previous survey. This indicates the phase difference currently being acquired. This indicates the phase difference from the previous acquisition.

[0074] Historical Feature Analysis Module: By retrieving historical power data from decommissioned meters in the database, the module performs feature analysis on the historical power data to obtain the average values ​​of voltage change rate, current change rate, frequency change rate, active power change rate, reactive power change rate, harmonic change rate, and phase change rate. The results of the feature analysis are then transmitted to the data comparison and analysis module.

[0075] In this embodiment, the historical feature analysis module extracts historical power data from the database at 1, 2, 3...n historical collection times to comprehensively analyze the characteristic changes of power data within a historical time period, and calculates the average voltage change rate, average current change rate, average frequency change rate, average active power change rate, average reactive power change rate, average harmonic change rate, and average phase change rate, respectively. , , , , , and It means, and , , , , , and The expression is as follows:

[0076]

[0077]

[0078]

[0079]

[0080]

[0081]

[0082]

[0083] in, This represents the rate of change of voltage across 1, 2, 3...n historical data collections. This represents the rate of change of current in historical data collections 1, 2, 3...n. This represents the rate of change of frequency in historical data collections 1, 2, 3...n. This represents the rate of change of active power in historical data collections 1, 2, 3...n. This represents the rate of change of reactive power in historical data collections 1, 2, 3...n. This represents the harmonic variation rate of historical data collections at times 1, 2, 3...n. This represents the phase change rate of historical acquisitions 1, 2, 3...n.

[0084] Data comparison and analysis module: By combining the selected power data with historical power data for comparative analysis, the module calculates the power transmission change difference coefficient, detects the trend of difference changes in the power transmission process through the power state change difference coefficient, determines whether the meter under test is in a stable state during use, thereby screening out unqualified meters under test and marking them.

[0085] In this embodiment, the data comparison and analysis module calculates the power transmission change difference coefficient by comparing and analyzing power data with historical power data, using the following formula:

[0086]

[0087] in, Indicates the rate of change of voltage. Indicates the rate of change of current. Indicates the rate of change of frequency. Indicates the rate of change of active power. Indicates the rate of change of reactive power. Represents the rate of change of harmonics. Indicates the rate of phase change. This represents the average rate of change of voltage. This represents the average rate of change of current. This represents the average rate of change of frequency. This represents the average rate of change of active power. This represents the average rate of change of reactive power. This represents the average harmonic variation rate. This represents the average rate of phase change.

[0088] By comparing the power transmission variation difference coefficient with a preset power transmission variation difference threshold, it is determined whether the power transmission process is in a stable state. If the power transmission variation difference coefficient L... Preset threshold for power transmission variation This indicates that the power transmission process is in a stable state, and the energy efficiency of the meter to be decommissioned will be further analyzed. If the power transmission variation coefficient L... Preset threshold for power transmission variation If the signal indicates that the power transmission process is in an unstable state, the meter to be tested and returned to service is deemed unqualified and marked as unqualified.

[0089] Energy efficiency assessment module: By further screening and classifying the decommissioned electricity meters to be tested, the module analyzes the energy efficiency data of the screened decommissioned electricity meters with historical energy efficiency data to obtain the energy efficiency assessment coefficient of the smart meters. The module uses the energy efficiency assessment coefficient to evaluate in real time whether there are any energy efficiency abnormalities in the decommissioned electricity meters to be tested, thereby determining whether the decommissioned electricity meters to be tested are qualified, and classifying and marking qualified and unqualified decommissioned electricity meters to be tested.

[0090] In this embodiment, the energy efficiency assessment module calculates the energy efficiency assessment coefficient by analyzing the difference between the current energy efficiency and historical energy efficiency using the following formula:

[0091]

[0092] in, This indicates the current output power value. This indicates the current electricity consumption. This represents the historical output power value of the i-th historical acquisition. This represents the historical power consumption of the i-th historical data collection, and n represents the total number of historical data collections.

[0093] By comparing the energy efficiency evaluation coefficient with a preset energy efficiency evaluation threshold, if the energy efficiency evaluation coefficient E... Preset energy efficiency assessment threshold If the energy efficiency level of the meter under test is good, then the meter under test is judged as qualified and marked as qualified. If the energy efficiency evaluation coefficient E Preset energy efficiency assessment threshold If the energy efficiency level of the meter to be tested is low, the meter to be tested will be judged as unqualified and marked as unqualified.

[0094] Intelligent sorting module: By using automated equipment to perform comprehensive intelligent sorting of returned electricity meters, the returned electricity meters are automatically sorted into qualified and unqualified areas according to the qualified and unqualified markings.

[0095] In this embodiment, the intelligent sorting module transports returned electricity meters to the sorting node via a conveyor belt, reads the meter marking information at the sorting node based on sensors, and then a robotic arm places the electricity meters into the corresponding area.

[0096] Information feedback module: It records the sorting information of returned electricity meters, feeds the sorting results back to the management terminal, and automatically generates a prompt message indicating that sorting is complete.

[0097] In this embodiment, the information feedback module automatically records and saves the destination of each returned electricity meter after sorting in the database, and sends a sorting completion notification message through the management personnel terminal.

[0098] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

[0099] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A smart meter quality inspection system for a sorting platform, characterized in that: include: Meter delivery module: Uses sensors and robotic arms to deliver returned meters to the inspection area; Meter Preliminary Screening Module: This module performs preliminary inspections and processing on returned electricity meters delivered to the testing area. The preliminary inspections include appearance inspection, functional inspection, and performance inspection. A comprehensive quality score is calculated, and qualified returned electricity meters, unqualified returned electricity meters, and returned electricity meters to be tested are preliminarily screened based on the comprehensive quality score. These are then marked and classified. Data acquisition module: Used to collect data from the returned electricity meters under test. By setting a stable output power supply on the sorting platform, the returned electricity meters under test are connected to the stable output power supply. The built-in sensors of the returned electricity meters under test measure and collect power data in real time, and transmit the collected power data to the data processing module. Data processing module: By preprocessing and storing power data, it then filters out power data that affects changes in power transmission, obtaining voltage change rate, current change rate, frequency change rate, active power change rate, reactive power change rate, harmonic change rate, and phase change rate, and transmits the filtered power data to the data comparison and analysis module. Historical Feature Analysis Module: By retrieving historical power data from decommissioned meters in the database, the module performs feature analysis on the historical power data to obtain the average voltage change rate, average current change rate, average frequency change rate, average active power change rate, average reactive power change rate, average harmonic change rate, and average phase change rate. The results of the feature analysis are then transmitted to the data comparison and analysis module. Data comparison and analysis module: By combining the selected power data with historical power data for comparative analysis, the power transmission change difference coefficient is calculated. The power state change difference coefficient is used to detect the difference change trend in the power transmission process, determine whether the meter to be tested is in a stable state during use, thereby screening out unqualified meters to be tested and marking them. Energy efficiency assessment module: By further screening and classifying the decommissioned electricity meters to be tested, the module analyzes the energy efficiency data of the screened decommissioned electricity meters with historical energy efficiency data to obtain the energy efficiency assessment coefficient of the smart meters. The module uses the energy efficiency assessment coefficient to evaluate in real time whether there are energy efficiency anomalies in the decommissioned electricity meters to be tested, thereby determining whether the decommissioned electricity meters to be tested are qualified, and classifying and marking qualified and unqualified decommissioned electricity meters to be tested. Intelligent sorting module: By using automated equipment to perform comprehensive intelligent sorting of returned electricity meters, the returned electricity meters are automatically sorted into qualified and unqualified areas according to the qualified and unqualified markings of the returned electricity meters; Information feedback module: Records the sorting information of returned electricity meters, then feeds the sorting results back to the management personnel terminal, and automatically generates a prompt message indicating that sorting is complete; The specific analysis steps for the comprehensive quality score of the initial screening module for electricity meters include: Step S211: Using a visual inspection tool, determine the appearance defect G according to the appearance inspection standard of the returned electricity meter. If the returned electricity meter has an appearance defect, set G=0; if the returned electricity meter does not have an appearance defect, set G=1. Step S212: Using a specialized meter testing instrument, test each function Z of the meter, including metering accuracy, communication function, and display function. For each function Z... j If the detection function is normal, then set Z. j =1, if the detection function is not normal, then set Z. j =0; Step S213: Test the metering performance Y of the meter using a standard electricity meter calibration device, and then determine the actual metering performance value y. 实 Compared with the metrological performance standard value y 标 Calculate the measurement performance Step S214: Calculate the overall quality score of the returned electricity meter: α1, α2, and α3 are weighting coefficients; The returned electricity meters are screened one by one according to the comprehensive quality score, and the comprehensive quality score of each returned electricity meter is recorded during the screening process. If the comprehensive quality score O is greater than or equal to the preset passing score, the tested electricity meter is judged as qualified and marked as qualified. If the comprehensive quality score O is less than the preset passing score and G = 0, the tested electricity meter is judged as unqualified and marked as unqualified. If the comprehensive quality score O is less than the preset passing score and G = 1, the tested electricity meter is judged as a returned electricity meter to be tested and the returned electricity meter to be tested is transmitted to the data acquisition module. The historical feature analysis module extracts historical power data from the database at 1, 2, 3...n times to comprehensively analyze the characteristic changes of power data within a historical time period, and calculates the average voltage change rate, average current change rate, average frequency change rate, average active power change rate, average reactive power change rate, average harmonic change rate, and average phase change rate. and It means, and and The expression is as follows: Among them, R V1 R V2 R V3 , ..., R Vn R represents the rate of change of voltage in historical data collections 1, 2, 3...n. I1 R I2 R I3 , ..., R In R represents the rate of change of current in historical data collections 1, 2, 3...n. f1 R f2 R f3 , ..., R fn R represents the rate of change of the frequency of historical data collections 1, 2, 3...n. Pa1 R Pa2 R Pa3 , ..., R Pan R represents the rate of change of active power in historical data collections 1, 2, 3...n. Pr1 R Pr2 R Pr3 , ..., R Prn R represents the rate of change of reactive power in historical data collections 1, 2, 3...n. H1 R H2 R H3 , ..., R Hn R represents the harmonic variation rate of historical data collections at times 1, 2, 3...n. S1 R S2 R S3 , ..., R Sn This represents the phase change rate of historical acquisitions 1, 2, 3...n.

2. The smart meter quality inspection system for a sorting platform according to claim 1, characterized in that: The meter delivery module allows manual placement of returned meters at designated locations in the input area. Infrared sensors in the input area detect the input status of the returned meters and send the detected information to the controller. Upon receiving the information from the infrared sensors, the controller analyzes and determines the type and location of the meters. Based on the meter type and location, the controller generates corresponding robotic arm movement commands, which are then transmitted to the end effector of the robotic arm. The end effector then places the returned meters at the designated locations in the detection area.

3. The smart meter quality inspection system for a sorting platform according to claim 1, characterized in that: The data acquisition module provides a stable power supply to the decommissioned electricity meter under test and measures and collects power data in real time through built-in sensors.

4. The smart meter quality inspection system for a sorting platform according to claim 1, characterized in that: The data processing module performs data preprocessing on the collected power data, including data cleaning, data filtering, and data transformation. The database then stores the collected power data and creates a data table based on the acquisition time. The processed power data is categorized and stored in this table according to the acquisition time. The database is connected to all modules to store all output data and is updated and queried in real-time based on the acquisition time. Finally, the module filters out power data from two adjacent acquisition times, including the voltage change rate R. V Current change rate R I Rate of change of frequency R f Active power change rate R Pa Reactive power change rate R Pr Harmonic variation rate R H and the phase change rate R S .

5. The smart meter quality inspection system for a sorting platform according to claim 1, characterized in that: The data comparison and analysis module calculates the coefficient of variation in power transmission by comparing and analyzing power data with historical power data. The formula is as follows: Among them, R V R represents the rate of change of voltage. I R represents the rate of change of current. f R represents the rate of change of frequency. Pa R represents the rate of change of active power. Pr R represents the rate of change of reactive power. H R represents the harmonic variation rate. S Indicates the rate of phase change. This represents the average rate of change of voltage. This represents the average rate of change of current. This represents the average rate of change of frequency. This represents the average rate of change of active power. This represents the average rate of change of reactive power. This represents the average harmonic variation rate. This represents the average rate of phase change. By comparing the power transmission variation difference coefficient with the preset power transmission variation difference threshold, it is determined whether the power transmission process is in a stable state. If the power transmission variation difference coefficient L ≤ the preset power transmission variation difference threshold μ, it indicates that the power transmission process is in a stable state, and the energy efficiency of the meter to be tested and decommissioned is further analyzed. If the power transmission variation difference coefficient L > the preset power transmission variation difference threshold μ, it indicates that the power transmission process is in an unstable state, and the meter to be tested and decommissioned is determined to be unqualified and marked as unqualified.

6. The smart meter quality inspection system for a sorting platform according to claim 1, characterized in that: The energy efficiency assessment module calculates the energy efficiency assessment coefficient by analyzing the difference between current energy efficiency and historical energy efficiency using the following formula: Among them, B c Q represents the current output power value. c B represents the current electricity consumption. hi Q represents the historical output power value of the i-th historical acquisition. ci This represents the historical power consumption of the i-th historical data collection, and n represents the total number of historical data collections. By comparing the energy efficiency evaluation coefficient with the preset energy efficiency evaluation threshold, if the energy efficiency evaluation coefficient E < the preset energy efficiency evaluation threshold θ, it indicates that the energy efficiency level of the meter under test is good, and the meter under test is judged as qualified and marked as qualified. If the energy efficiency evaluation coefficient E < the preset energy efficiency evaluation threshold θ, it indicates that the energy efficiency level of the meter under test is low, and the meter under test is judged as unqualified and marked as unqualified.

7. The smart meter quality inspection system for a sorting platform according to claim 1, characterized in that: The intelligent sorting module transports returned electricity meters to the sorting node via a conveyor belt, reads the meter marking information at the sorting node based on sensors, and then a robotic arm places the meters into the corresponding area.

8. The smart meter quality inspection system for a sorting platform according to claim 1, characterized in that: The information feedback module automatically records and saves the destination of each returned meter after sorting in the database, and sends a sorting completion notification message through the management personnel terminal.

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