Intelligent electric meter quality detection system for sorting platform

Abstract

The invention relates to the field of ammeter detection, and discloses an intelligent ammeter quality detection system for a sorting platform, and the system comprises the steps: preliminarily screening out qualified returned ammeters, unqualified returned ammeters and to-be-detected returned ammeters from returned ammeters conveyed into a detection region; the power data of the to-be-detected returned ammeter and the historical power data are combined for comparative analysis, the difference change trend in the power transmission process is detected, the unqualified to-be-detected returned ammeter is screened out, analysis is carried out according to the energy efficiency data of the to-be-detected returned ammeter and the historical energy efficiency data, and whether the to-be-detected returned ammeter is qualified or not is judged. The qualified and unqualified returned ammeters are automatically sorted to the qualified area and the unqualified area, and the sorting result is fed back to the management personnel terminal, so that the energy efficiency and state of the ammeters are comprehensively analyzed and compared, the returned ammeters are more accurately screened and sorted, and the sorting efficiency and the sorting accuracy of the ammeters are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric meter detection, and more specifically to an intelligent electric meter quality detection system for a sorting platform. Background Art

[0002] As an important part of meter quality inspection, the sorting platform needs to be able to quickly and accurately classify and process meters. However, traditional sorting methods often rely on manual operations, and there are problems such as low sorting efficiency and high error rate. Therefore, the meter quality sorting system came into being. By using mature intelligent program-controlled meter calibration devices and mechanical and advanced electronic automation production control technology, the intelligent and automated sorting of all processes of power smart meter calibration is realized;

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

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

[0005] Second, the existing meter sorting system lacks the ability to evaluate the energy efficiency and status of meters through comparison and analysis with historical data, and further screen out unqualified meters based on the energy efficiency and status of meters, 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 detection system for a sorting platform to solve the problems existing in the above-mentioned background technology.

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

[0008] Electricity meter transport module: transports the returned electricity meters to the inspection area by using sensors and robotic arms;

[0009] Electric meter preliminary screening module: preliminary inspection and processing of the returned electric meters transported to the detection area, including appearance inspection, function inspection and performance inspection, and calculating the comprehensive quality score, preliminary screening of qualified returned electric meters, unqualified returned electric meters and returned electric meters to be tested based on the comprehensive quality score, and marking and classifying them;

[0010] Data acquisition module: used to collect data from the returned electricity meters to be tested. By setting a stable output power supply on the sorting platform, the returned electricity meters to be tested are connected to the stable output power supply, and the built-in sensors of the returned electricity meters to be tested are used to measure and collect power data in real time, and the collected power data is transmitted to the data processing module;

[0011] Data processing module: pre-processes and stores the power data, and then selects the power data that affects the power transmission change from the power data to obtain 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 transmits the selected power data to the data comparison and analysis module;

[0012] Historical feature analysis module: by obtaining the historical power data of the returned electric meters from the database, the historical power data is subjected to feature analysis to obtain the average voltage change rate, the average current change rate, the average frequency change rate, the average active power change rate, the average reactive power change rate, the average harmonic change rate and the average phase change rate, and the feature analysis results are transmitted to the data comparison and analysis module;

[0013] Data comparison and analysis module: By combining the screened power data with the historical power data for comparison and analysis, and calculating the power transmission change difference coefficient, the power state change difference coefficient is used to detect the difference change trend in the power transmission process, and to determine whether the returned power meter to be tested is in a stable state during use, so as to screen out unqualified returned power meters to be tested, and mark the unqualified returned power meters to be tested;

[0014] Energy efficiency evaluation module: by further screening and classifying the returned meters to be tested, analyzing the energy efficiency data of the screened returned meters to be tested and the historical energy efficiency data, the energy efficiency evaluation coefficient of the smart meter is obtained, and the energy efficiency evaluation coefficient is used to evaluate in real time whether the returned meters to be tested have energy efficiency anomalies, so as to determine whether the returned meters to be tested are qualified, and to classify and mark the qualified returned meters to be tested and the unqualified returned meters to be tested;

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

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

[0017] Preferably, the electric meter input module manually places the returned electric meter at a specified position in the input area, and the infrared sensor in the input area detects the input status of the returned electric meter, and sends the detected returned electric meter information to the controller. After receiving the information sent by the infrared sensor, the controller analyzes and determines the type and position of the electric meter. According to the type and position of the electric meter, the controller generates corresponding robotic arm motion instructions, and the controller transmits the robotic arm motion instructions to the end effector of the robotic arm, and then places the returned electric meter at the specified 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 electricity meter preliminary screening module include:

[0019] Step S211: By using a visual inspection tool, according to the appearance inspection standard of the returned electricity meter, the appearance defect G is judged. If the returned electricity meter has an appearance defect, the appearance defect G is set. If the returned meter has no appearance defects, set ;

[0020] Step S212: Use a special meter tester to test various functions of the meter, including metering accuracy, communication function, and display function. If the detection function is normal, set If the detection function is not normal, set ;

[0021] Step S213: Test the metering performance Y of the meter by using a standard meter calibration device, and then Standard value of metrological performance Calculate the metering performance ;

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

[0023] , is the weight coefficient;

[0024] The returned meters are screened one by one according to the comprehensive quality score, and the comprehensive quality score of each returned meter during the screening process is recorded. If the preset passing score is exceeded, the meter under test will be judged as qualified and marked as qualified. The preset passing score, and , the meter under test is judged as unqualified and marked as unqualified. If the comprehensive quality score is The preset passing score, and , the detected electric meter is determined as a returned electric meter to be tested, and the returned electric meter to be tested is transmitted to the data acquisition module.

[0025] Preferably, the data acquisition module provides a stable power supply to the returned electric meter to be tested, and measures and collects electric power data in real time through built-in sensors.

[0026] Preferably, the data processing module performs data preprocessing on the collected power data, including data cleaning, data filtering and data conversion. The database is responsible for storing the collected power data, and creates a collection time data table in the database. The processed power data is classified and stored in the collection time data table according to the data collection time. The database is connected to all modules to store all output data, and the power data of different collection times are updated and queried in real time in the database according to the collection time. Then, the power data collected at two adjacent time points are filtered out from the power data, and the filtered 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 the phase change rate .

[0027] Preferably, the historical characteristic analysis module extracts 1, 2, 3...n times of historical power data collected from the database to comprehensively analyze the characteristic changes of power data in the historical time period, and calculates the average voltage change rate, the average current change rate, the average frequency change rate, the average active power change rate, the average reactive power change rate, the average harmonic change rate and the average phase change rate, respectively. , , , , , and indicates that, and , , , , , and The expression is as follows:

[0028]

[0029]

[0030]

[0031]

[0032]

[0033]

[0034]

[0035] in, Indicates the voltage change rate of 1, 2, 3...n times of historical collection, Indicates the current change rate of 1, 2, 3...n times of historical collection, Indicates the frequency change rate of 1, 2, 3...n times of historical acquisition, Indicates the active power change rate of 1, 2, 3...n times of historical collection, Indicates the reactive power change rate of 1, 2, 3...n times of historical acquisition, Indicates the harmonic change rate of 1, 2, 3...n times of historical acquisition, Indicates the phase change rate of 1, 2, 3...n times of historical acquisition.

[0036] Preferably, the data comparison and analysis module compares and analyzes the power data with the historical power data, and the formula for calculating the power transmission change difference coefficient is as follows:

[0037]

[0038] in, It represents the voltage change rate, represents the rate of change of current, represents the frequency change rate, Indicates the rate of change of active power, Represents the reactive power change rate, represents the harmonic change rate, represents the phase change rate, Indicates the average value of voltage change rate, represents the average value of the current change rate, represents the average frequency change rate, Indicates the average value of active power change rate, Represents the average value of reactive power change rate, represents the average value of harmonic change rate, represents the average value of phase change rate;

[0039] By comparing the power transmission variation coefficient with the preset power transmission variation threshold, it is possible to determine whether the power transmission process is in a stable state. Preset power transfer variation difference threshold , indicating that the power transmission process is in a stable state, and the energy efficiency of the returned electric meters to be tested is further analyzed. If the power transmission change coefficient L Preset power transfer variation difference threshold , indicating that the power transmission process is in an unstable state, the returned electric meter to be tested is determined to be unqualified and is marked as unqualified.

[0040] Preferably, the energy efficiency evaluation module calculates the energy efficiency evaluation coefficient by analyzing the difference between the current energy efficiency and the historical energy efficiency as follows:

[0041]

[0042] in, Indicates the current output power value. Indicates the current power consumption. represents the historical output power value of the i-th historical collection, represents the historical power consumption of the i-th historical collection, and n represents the total number of historical collections;

[0043] By comparing the energy efficiency evaluation coefficient with the preset energy efficiency evaluation threshold, if the energy efficiency evaluation coefficient E Preset energy efficiency assessment thresholds , indicating that the energy efficiency level of the returned meter to be tested is good, the returned meter to be tested is judged as qualified, and the returned meter to be tested is marked as qualified. If the energy efficiency evaluation coefficient E Preset energy efficiency assessment thresholds , indicating that the energy efficiency level of the returned electric meter to be tested is low, the returned electric meter to be tested is judged as unqualified, and the returned electric meter to be tested is marked as unqualified.

[0044] Preferably, the intelligent sorting module transports the returned electricity meters to a sorting node via a conveyor belt, reads the meter marking information at the sorting node according to a sensor, and then places the electricity meters in corresponding areas by a robotic arm.

[0045] Preferably, the information feedback module automatically records and stores the destination of each returned electric meter after the sorting is completed in a database, and sends a prompt message of the completion of the sorting through the administrator terminal.

[0046] Technical effects and advantages of the present invention:

[0047] The present invention performs preliminary inspection and processing on the returned electric meters transported to the detection area, thereby preliminarily screening out qualified returned electric meters, unqualified returned electric meters and returned electric meters to be tested, which is conducive to more detailed classification of returned electric meters and makes the classification of electric meters more accurate. By further screening and classifying the returned electric meters to be tested, by combining the screened power data with the historical power data for comparative analysis, the difference change trend in the power transmission process is detected, and it is judged whether the returned electric meters to be tested are in a stable state during use, thereby screening out unqualified returned electric meters to be tested, and by The returned meters are further screened and classified, and the energy efficiency data of the screened returned meters to be tested are analyzed with the historical energy efficiency data to determine whether the returned meters to be tested are qualified, and the qualified returned meters to be tested and the unqualified returned meters to be tested are classified and marked, and the returned meters are automatically sorted into qualified areas and unqualified areas according to the qualified and unqualified marks of the returned meters, and the sorting results are fed back to the management personnel terminal, which is conducive to a comprehensive analysis and comparison of the energy efficiency and status of the meters, so as to more accurately screen and sort the returned meters, thereby improving the sorting efficiency and accuracy of the meters. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 The present invention is a flow chart of a smart meter quality detection system for a sorting platform. DETAILED DESCRIPTION

[0049] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. In addition, the forms of the various structures recorded in the following embodiments are merely illustrative. The smart meter quality inspection system for a sorting platform involved in the present invention is not limited to the various structures recorded in the following embodiments. All other implementations obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

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

[0051] Electricity meter transport module: uses sensors and robotic arms to transport returned electricity meters to the inspection area.

[0052] In this embodiment, the electric meter input module manually places the returned electric meter at the specified position of the input area, and the infrared sensor in the input area detects the input status of the returned electric meter, and sends the detected returned electric meter information to the controller. After receiving the information sent by the infrared sensor, the controller analyzes and determines the type and position of the electric meter. According to the type and position of the electric meter, the controller generates corresponding robotic arm motion instructions, and the controller transmits the robotic arm motion instructions to the end effector of the robotic arm, and then the returned electric meter is placed at the specified position of the detection area through the end effector of the robotic arm.

[0053] Electric meter initial screening module: The returned electric meters transported to the detection area are initially inspected and processed, including appearance inspection, function inspection and performance inspection, and a comprehensive quality score is calculated. The qualified returned electric meters, unqualified returned electric meters and returned electric meters to be tested are initially screened out based on the comprehensive quality score, and are marked and classified.

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

[0055] Step S211: By using a visual inspection tool, according to the appearance inspection standard of the returned electricity meter, the appearance defect G is judged. If the returned electricity meter has an appearance defect, the appearance defect G is set. If the returned meter has no appearance defects, set ;

[0056] Step S212: Use a special meter tester to test various functions of the meter, including metering accuracy, communication function, and display function. If the detection function is normal, set If the detection function is not normal, set ;

[0057] Step S213: Test the metering performance Y of the meter by using a standard meter calibration device, and then Standard value of metrological performance Calculate the metering performance ;

[0058] Step S214: Calculate the comprehensive quality score of the returned electric meter:

[0059] , is the weight coefficient;

[0060] The returned meters are screened one by one according to the comprehensive quality score, and the comprehensive quality score of each returned meter during the screening process is recorded. If the preset passing score is exceeded, the meter under test will be judged as qualified and marked as qualified. The preset passing score, and , the meter under test is judged as unqualified and marked as unqualified. If the comprehensive quality score is The preset passing score, and , the detected electric meter is determined as a returned electric meter to be tested, and the returned electric meter to be tested is transmitted to the data acquisition module.

[0061] Data acquisition module: used to collect data from the returned electricity meters to be tested. By setting a stable output power supply on the sorting platform, the returned electricity meters to be tested are connected to the stable output power supply, and the built-in sensors of the returned electricity meters to be tested are used to measure and collect power data in real time, and the collected power data is transmitted to the data processing module.

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

[0063] Data processing module: pre-processes and stores power data, and then filters out power data that affects power transmission changes, obtains 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.

[0064] In this embodiment, the data processing module performs data preprocessing on the collected power data, including data cleaning, data filtering and data conversion. The database is responsible for storing the collected power data, and creates a collection time data table in the database. The processed power data is classified according to the data collection time and stored in the collection time data table. The database is connected to all modules to store all output data, and the power data of different collection times is updated and queried in real time in the database according to the collection time. Then, the power data collected at two adjacent time points are filtered out from the power data. The filtered 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 the phase change rate .

[0065] It should be specifically noted that by respectively calculating the voltage change rate , Current change rate , frequency change rate , Active power change rate , reactive power change rate , harmonic change rate And the phase change rate The specific calculation expression is as follows:

[0066]

[0067]

[0068]

[0069]

[0070]

[0071]

[0072]

[0073] in, Indicates the currently collected voltage value. Indicates the voltage value collected last time, Indicates the current value currently collected. Indicates the current value collected last time, Indicates the currently collected grid frequency value. Indicates the grid frequency value collected last time, Indicates the current collected active power value. Indicates the active power value collected last time. Indicates the reactive power value currently collected. Indicates the reactive power value collected last time. Indicates the harmonic content value currently collected. Indicates the harmonic content value collected last time, Indicates the phase difference currently collected, Indicates the phase difference of the previous acquisition.

[0074] Historical feature analysis module: by obtaining the historical power data of the returned electricity meters from the database, the historical power data is subjected to feature analysis to obtain the average voltage change rate, the average current change rate, the average frequency change rate, the average active power change rate, the average reactive power change rate, the average harmonic change rate and the average phase change rate, and the results of the feature analysis are transmitted to the data comparison and analysis module.

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

[0076]

[0077]

[0078]

[0079]

[0080]

[0081]

[0082]

[0083] in, Indicates the voltage change rate of 1, 2, 3...n times of historical collection, Indicates the current change rate of 1, 2, 3...n times of historical collection, Indicates the frequency change rate of 1, 2, 3...n times of historical acquisition, Indicates the active power change rate of 1, 2, 3...n times of historical collection, Indicates the reactive power change rate of 1, 2, 3...n times of historical acquisition, Indicates the harmonic change rate of 1, 2, 3...n times of historical acquisition, Indicates the phase change rate of 1, 2, 3...n times of historical acquisition.

[0084] Data comparison and analysis module: By combining the screened power data with the historical power data for comparative analysis, and calculating the power transmission change difference coefficient, the difference change trend in the power transmission process is detected through the power state change difference coefficient, and it is determined whether the returned meter to be tested is in a stable state during use, so as to screen out unqualified returned meters to be tested and mark the unqualified returned meters to be tested.

[0085] In this embodiment, the data comparison and analysis module compares and analyzes the power data with the historical power data to calculate the power transmission change difference coefficient using the following formula:

[0086]

[0087] in, It represents the voltage change rate, represents the rate of change of current, represents the frequency change rate, Indicates the rate of change of active power, Represents the reactive power change rate, represents the harmonic change rate, represents the phase change rate, Indicates the average value of voltage change rate, represents the average value of the current change rate, represents the average frequency change rate, Indicates the average value of active power change rate, Represents the average value of reactive power change rate, represents the average value of harmonic change rate, represents the average value of phase change rate;

[0088] By comparing the power transmission variation coefficient with the preset power transmission variation threshold, it is possible to determine whether the power transmission process is in a stable state. Preset power transfer variation difference threshold , indicating that the power transmission process is in a stable state, and the energy efficiency of the returned electric meters to be tested is further analyzed. If the power transmission change coefficient L Preset power transfer variation difference threshold , indicating that the power transmission process is in an unstable state, the returned electric meter to be tested is determined to be unqualified and is marked as unqualified.

[0089] Energy efficiency evaluation module: by further screening and classifying the returned meters to be tested, the energy efficiency data of the screened returned meters to be tested are analyzed with the historical energy efficiency data to obtain the energy efficiency evaluation coefficient of the smart meter. The energy efficiency evaluation coefficient is used to evaluate in real time whether there are energy efficiency anomalies in the returned meters to be tested, so as to determine whether the returned meters to be tested are qualified, and the qualified returned meters to be tested and the unqualified returned meters to be tested are classified and marked.

[0090] In this embodiment, the energy efficiency evaluation module calculates the energy efficiency evaluation coefficient by analyzing the difference between the current energy efficiency and the historical energy efficiency. The formula is as follows:

[0091]

[0092] in, Indicates the current output power value. Indicates the current power consumption. represents the historical output power value of the i-th historical collection, represents the historical power consumption of the i-th historical collection, and n represents the total number of historical collections;

[0093] By comparing the energy efficiency evaluation coefficient with the preset energy efficiency evaluation threshold, if the energy efficiency evaluation coefficient E Preset energy efficiency assessment thresholds , indicating that the energy efficiency level of the returned meter to be tested is good, the returned meter to be tested is judged as qualified, and the returned meter to be tested is marked as qualified. If the energy efficiency evaluation coefficient E Preset energy efficiency assessment thresholds , indicating that the energy efficiency level of the returned electric meter to be tested is low, the returned electric meter to be tested is judged as unqualified, and the returned electric meter to be tested is marked as unqualified.

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

[0095] In this embodiment, the intelligent sorting module transports the returned electricity meters to the sorting node through a conveyor belt, reads the meter marking information at the sorting node according to the sensor, and then places the electricity meters in the corresponding area by a robotic arm.

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

[0097] In this embodiment, the information feedback module automatically records and stores the destination of each returned electric meter after the sorting is completed in a database, and sends a prompt message of the completion of the sorting through the administrator terminal.

[0098] Finally: 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 in the protection scope of the present invention.

[0099] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A smart meter quality detection system for a sorting platform, characterized in that: include: Electricity meter transport module: transports the returned electricity meters to the inspection area by using sensors and robotic arms; Electric meter preliminary screening module: preliminary inspection and processing of the returned electric meters transported to the detection area, including appearance inspection, function inspection and performance inspection, and calculating the comprehensive quality score, preliminary screening of qualified returned electric meters, unqualified returned electric meters and returned electric meters to be tested based on the comprehensive quality score, and marking and classifying them; Data acquisition module: used to collect data from the returned electricity meters to be tested. By setting a stable output power supply on the sorting platform, the returned electricity meters to be tested are connected to the stable output power supply, and the built-in sensors of the returned electricity meters to be tested are used to measure and collect power data in real time, and the collected power data is transmitted to the data processing module; Data processing module: pre-processes and stores the power data, and then selects the power data that affects the power transmission change from the power data to obtain 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 transmits the selected power data to the data comparison and analysis module; Historical feature analysis module: by obtaining the historical power data of the returned electric meters from the database, the historical power data is subjected to feature analysis to obtain the average voltage change rate, the average current change rate, the average frequency change rate, the average active power change rate, the average reactive power change rate, the average harmonic change rate and the average phase change rate, and the feature analysis results are transmitted to the data comparison and analysis module; Data comparison and analysis module: By combining the screened power data with the historical power data for comparison and analysis, and calculating the power transmission change difference coefficient, the power state change difference coefficient is used to detect the difference change trend in the power transmission process, and to determine whether the returned power meter to be tested is in a stable state during use, so as to screen out unqualified returned power meters to be tested, and mark the unqualified returned power meters to be tested; Energy efficiency evaluation module: by further screening and classifying the returned meters to be tested, analyzing the energy efficiency data of the screened returned meters to be tested and the historical energy efficiency data, the energy efficiency evaluation coefficient of the smart meter is obtained, and the energy efficiency evaluation coefficient is used to evaluate in real time whether the returned meters to be tested have energy efficiency anomalies, so as to determine whether the returned meters to be tested are qualified, and to classify and mark the qualified returned meters to be tested and the unqualified returned meters to be tested; Intelligent sorting module: By using automated equipment to perform comprehensive intelligent sorting on returned electricity meters, the returned electricity meters are automatically sorted into qualified areas and unqualified areas according to the qualified and unqualified marks of the returned electricity meters; Information feedback module: records the sorting information of returned electricity meters, feeds back the sorting results to the management personnel terminal, and automatically generates prompt information that the sorting is completed.

2. According to claim 1, a smart meter quality detection system for a sorting platform is characterized in that: The meter input module manually places the returned meter at a specified position in the input area, and 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 robot arm motion instructions, and the controller transmits the robot arm motion instructions to the end effector of the robot arm, and then the returned meter is placed at the specified position in the detection area through the end effector of the robot arm.

3. According to claim 1, a smart meter quality detection system for a sorting platform is characterized in that: The specific analysis steps of the comprehensive quality score of the electric meter preliminary screening module include: Step S211: By using a visual inspection tool, according to the appearance inspection standard of the returned electricity meter, the appearance defect G is judged. If the returned electricity meter has an appearance defect, the appearance defect G is set. If the returned meter has no appearance defects, set ; Step S212: Use a special meter tester to test various functions of the meter, including metering accuracy, communication function, and display function. If the detection function is normal, set If the detection function is not normal, set ; Step S213: Test the metering performance Y of the meter by using a standard electric energy meter calibration device, and then calculate the metering performance Y according to the actual value of the metering performance and the standard value of the metering performance. ; Step S214: Calculate the comprehensive quality score of the returned electric meter: , is the weight coefficient; The returned meters are screened one by one according to the comprehensive quality score, and the comprehensive quality score of each returned meter during the screening process is recorded. If the preset passing score is exceeded, the meter under test will be judged as qualified and marked as qualified. The preset passing score, and , the meter under test is judged as unqualified and marked as unqualified. If the comprehensive quality score is The preset passing score, and , the detected electric meter is determined as a returned electric meter to be tested, and the returned electric meter to be tested is transmitted to the data acquisition module.

4. The smart meter quality detection system for a sorting platform according to claim 1, characterized in that: The data acquisition module provides a stable power supply for the returned electric meter to be tested, and measures and collects electric power data in real time through built-in sensors.

5. The smart meter quality detection 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 conversion. The database is responsible for storing the collected power data, and creates a collection time data table in the database. The processed power data is classified and stored in the collection time data table according to the data collection time. The database is connected to all modules to store all output data, and the power data of different collection times is updated and queried in real time in the database according to the collection time. Then, the power data collected at two adjacent time points are filtered out from the power data. The filtered 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 the phase change rate .

6. The smart meter quality detection system for a sorting platform according to claim 1, characterized in that: The historical characteristic analysis module extracts the historical power data collected 1, 2, 3...n times from the database to comprehensively analyze the characteristic changes of the power data in the historical time period, and calculates the average voltage change rate, the average current change rate, the average frequency change rate, the average active power change rate, the average reactive power change rate, the average harmonic change rate and the average phase change rate, respectively. , , , , , and indicates that, and , , , , , and The expression is as follows: in, Indicates the voltage change rate of 1, 2, 3...n times of historical collection, Indicates the current change rate of 1, 2, 3...n times of historical collection, Indicates the frequency change rate of 1, 2, 3...n times of historical acquisition, Indicates the active power change rate of 1, 2, 3...n times of historical collection, Indicates the reactive power change rate of 1, 2, 3...n times of historical acquisition, Indicates the harmonic change rate of 1, 2, 3...n times of historical acquisition, Indicates the phase change rate of 1, 2, 3...n times of historical acquisition.

7. The smart meter quality detection system for a sorting platform according to claim 1, characterized in that: The data comparison and analysis module compares and analyzes the power data with the historical power data, and the formula for calculating the power transmission change difference coefficient is as follows: in, It represents the voltage change rate, represents the rate of change of current, represents the frequency change rate, Indicates the rate of change of active power, Represents the reactive power change rate, represents the harmonic change rate, represents the phase change rate, Indicates the average value of voltage change rate, represents the average value of the current change rate, represents the average frequency change rate, Indicates the average value of active power change rate, Represents the average value of reactive power change rate, represents the average value of harmonic change rate, represents the average value of phase change rate; By comparing the power transmission variation coefficient with the preset power transmission variation threshold, it is possible to determine whether the power transmission process is in a stable state. Preset power transfer variation difference threshold , indicating that the power transmission process is in a stable state, and the energy efficiency of the returned electric meters to be tested is further analyzed. If the power transmission change coefficient L Preset power transfer variation difference threshold , indicating that the power transmission process is in an unstable state, the returned electric meter to be tested is determined to be unqualified and is marked as unqualified.

8. The smart meter quality detection system for a sorting platform according to claim 1, characterized in that: The energy efficiency evaluation module calculates the energy efficiency evaluation coefficient by analyzing the difference between the current energy efficiency and the historical energy efficiency as follows: in, Indicates the current output power value. Indicates the current power consumption. represents the historical output power value of the i-th historical collection, represents the historical power consumption of the i-th historical collection, and n represents the total number of historical collections; By comparing the energy efficiency evaluation coefficient with the preset energy efficiency evaluation threshold, if the energy efficiency evaluation coefficient E is greater than the preset energy efficiency evaluation threshold, , indicating that the energy efficiency level of the returned meter to be tested is good, the returned meter to be tested is judged as qualified, and the returned meter to be tested is marked as qualified. If the energy efficiency evaluation coefficient E Preset energy efficiency assessment thresholds , indicating that the energy efficiency level of the returned electric meter to be tested is low, the returned electric meter to be tested is judged as unqualified, and the returned electric meter to be tested is marked as unqualified.

9. The smart meter quality detection system for a sorting platform according to claim 1, characterized in that: The intelligent sorting module transports the returned electric meters to the sorting node through a conveyor belt, reads the meter marking information at the sorting node according to the sensor, and then places the electric meters in the corresponding area by a robotic arm.

10. The smart meter quality detection system for a sorting platform according to claim 1, characterized in that: The information feedback module automatically records and stores the destination of each returned electric meter after the sorting is completed in a database, and sends a prompt message of the completion of the sorting through the administrator terminal.

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