A power-on detection method for power meter production

Abstract

The present invention discloses a power-on detection method for electric power meter production, which relates to the technical field of meter detection and includes the following steps: selecting a device to be detected, sending a wiring signal and an execution signal, collecting response data of the device to be detected, calculating response accuracy, dividing accuracy levels, calculating response stability, dividing stability levels, marking key points, calculating structural qualification, dividing qualification levels, and sending a reorganization signal or a completion signal. The present invention automates the detection process by setting a parameter detection sequence and automatically sending wiring signals and execution signals. The input device generates a harmonic sequence based on the execution signal, which can simulate complex power grid conditions. By calculating the structural qualification, the structural integrity of the device is ensured. The reorganization signal or the completion signal is sent to provide a basis for subsequent production decisions, reduce rework rates, improve production efficiency, and enhance customer satisfaction through precise detection and comprehensive evaluation.

Description

Technical Field

[0001] The present invention relates to the technical field of instrument detection, and in particular to a power-on detection method for electric power meter production. Background Art

[0002] In recent years, with the application of integrated intelligent systems such as sensing technology, microelectronics, computer software and hardware, digital signal processing technology, artificial neural networks, expert systems, and fuzzy set theory in condition monitoring and fault diagnosis, power meter detection has become more accurate and efficient. By improving the backbone feature network of the model and other means, small-scale, high-likelihood target images in complex environments can be quickly detected, which improves the detection speed and accuracy. Through a variety of improvement measures, it has obvious advantages in detection accuracy and speed.

[0003] At present, a Chinese invention patent with publication number CN112285625A discloses a universal automatic calibration system for electric power meters and its calibration method. This method uses the gripper of a detection robot to insert a fixed pin terminal into the corresponding wire hole of the meter, close the gripper, and the calibration system starts the standard source according to the return signal to input the range and calibrate the meter. However, the related technology does not quantitatively score the accuracy level of the instrument according to the accuracy requirements of the instrument itself, lacks intuitiveness and pertinence of the detection, does not integrate multiple parameters to detect the instrument, lacks comprehensiveness of the detection, and is not conducive to the scientific nature of continued production or restructuring decisions. Summary of the Invention

[0004] The technical problem solved by the present invention is that the relevant technology does not quantitatively score the accuracy level of the instrument according to the accuracy requirements of the instrument itself, lacks intuitiveness and pertinence in the detection, does not comprehensively detect the instrument based on multiple parameters, lacks comprehensiveness in the detection, and is not conducive to the scientific nature of continued production or restructuring decisions.

[0005] To solve the above technical problems, the present invention provides the following technical solution: a power-on detection method for power meter production, comprising the following steps:

[0006] Step S100: Obtain the production model, match the corresponding parameter detection range and input conversion ratio according to the production model, set the detection frequency, and select the device to be detected according to the detection frequency;

[0007] Step S200: Setting a parameter detection sequence, setting corresponding detection values ​​according to the parameter detection range, sending a wiring signal to the transmission device according to the detection value and the parameter detection sequence, sending an execution signal to the input device, the input device generating a harmonic sequence according to the execution signal, and collecting response data of the device to be detected within a first time period after the input device is in operation;

[0008] Step S300, calculating the response accuracy of the device to be tested based on the response data, the input conversion ratio, and the harmonic sequence, and classifying the accuracy level according to the response accuracy; calculating the response stability of the device to be tested based on the response data, and classifying the stability level according to the response stability;

[0009] Step S400, obtaining a three-dimensional model of the device to be inspected, marking key points in the three-dimensional model, counting the number of unqualified components based on the response data after the first processing, calculating the structural qualification based on the number of unqualified components, and classifying the qualified grades based on the structural qualification;

[0010] Step S500: Set the first score corresponding to the accuracy level, the second score corresponding to the stability level, and the third score corresponding to the qualified level, calculate the average of the first score, the second score, and the third score corresponding to the device to be tested, and send a reorganization signal or a completion signal according to the average.

[0011] As a preferred embodiment of the power-on detection method for electric power meter production described in the present invention, the method comprises: obtaining a production model, retrieving a detection database, inputting the production model into the detection database, matching a parameter detection range and an input conversion ratio corresponding to the production model, wherein the input conversion ratio is expressed as a ratio of output data to input data of the production model; a larger value of the input conversion ratio indicates a higher corresponding meter accuracy; the parameter detection range includes a current detection range and a voltage detection range, and the parameter detection range indicates a range of input current and a range of input voltage that the meter of the production model can accept;

[0012] The first frequency is set as the detection frequency, a corresponding instrument is selected according to the detection frequency, and the instrument corresponding to the detection frequency is set as the device to be detected.

[0013] As a preferred solution of the power-on detection method for power meter production described in the present invention, wherein: a parameter detection sequence is set, and the parameter detection sequence is voltage detection first and then current detection;

[0014] The corresponding detection value is set according to the parameter detection range, and the setting method of the detection value includes:

[0015] Obtaining a voltage detection range, calculating a first difference between an upper limit and a lower limit of the voltage detection range, setting a value of one thousandth of the first difference as a first change gradient, and cyclically weighting the difference with the first change gradient starting from the lower limit of the voltage detection range to obtain M first weighted sum values, where M is a natural number. When the weighted sum value reaches the upper limit of the voltage detection range, the weighting is stopped, and each weighted sum value is set as the corresponding detection value;

[0016] Obtain a current detection range, calculate a second difference between the upper limit of the current detection range and the lower limit of the current detection range, set a value of one thousandth of the second difference as a second change gradient, and cyclically perform weighted addition on the second change gradient starting from the lower limit of the current detection range to obtain N second weighted sum values, where N is a natural number. When the second weighted sum value reaches the upper limit of the current detection range, stop weighting and set each second weighted sum value as the corresponding detection value.

[0017] As a preferred embodiment of the power-on detection method for electric power meter production described in the present invention, a wiring signal is sent to a transmission device and an execution signal is sent to an input device according to the detection value and parameter detection sequence, wherein the wiring signal includes an access voltage terminal signal and an access current terminal signal, and the execution signal includes an execution voltage harmonic signal and an execution current harmonic signal;

[0018] The transmission device is used to connect the input device to the port of the device to be detected, and the port of the device to be detected includes a current input terminal and a voltage input terminal. When performing current detection, the transmission device receives the input current terminal signal and inserts the input device's wiring into the current input terminal of the device to be detected. When performing voltage detection, the transmission device receives the input voltage terminal signal and inserts the input device's wiring into the voltage input terminal of the device to be detected.

[0019] The input device is used to generate a harmonic sequence. When performing voltage detection, the input device receives a voltage harmonics signal and generates voltage harmonics, and gradually increases the voltage harmonics value within a first time period according to the corresponding detection value. When performing current detection, the input device receives a current harmonics signal and generates current harmonics, and gradually increases the current harmonics value within a first time period according to the corresponding detection value.

[0020] Within the first time period after the input device is in operation, response data of the device to be detected is collected, the response data including temperature data and corresponding parameter data, the corresponding parameter data including output voltage data and output current data, and the corresponding parameter data is parameter data output by the device to be detected.

[0021] As a preferred embodiment of the power-on detection method for electric power meter production according to the present invention, the response data is subjected to a first processing, the first processing being used to establish a temperature field, the first characteristic quantity being represented by a temperature distribution characteristic, the first processing being used to calculate a heating rate of temperature data of each point of the device to be detected within a first time period and a boundary heat flux within the first time period, the heating rate calculation method comprising:

[0022] Calculating differences between adjacent temperature data, where the adjacent temperature data are expressed as being adjacent in time order, calculating a ratio of the difference between the adjacent temperature data and the previous temperature data, recording the ratio as a first ratio, calculating an average of the first ratios, and setting the average of the first ratios as a heating rate;

[0023] The calculation method of the boundary heat flux includes:

[0024] Obtain temperature data at various points on the housing of the device to be tested, select any point, calculate the average value of the temperature data at the point, record it as a first average value, calculate the average of the first average values, record it as a second average value, set the second average value as the wall temperature, obtain the convective heat transfer coefficient and the ambient temperature, and calculate the heat flux according to Newton's law of cooling;

[0025] The initial temperature data, heat flux, ambient temperature, and convective heat transfer coefficient of the first time period are set as boundary conditions, a three-dimensional model of the device to be tested is obtained, the three-dimensional model and the various temperature data are imported into ANSYS software to obtain a grid structure, and a temperature field is constructed according to the boundary conditions and the grid structure. The temperature field represents the spatial distribution of temperature and the rate of change of temperature.

[0026] As a preferred embodiment of the power-on detection method for electric power meter production according to the present invention, the response accuracy of the device to be detected is calculated based on the response data, the input conversion ratio, and the harmonic sequence. The response accuracy calculation method includes:

[0027] Obtaining a harmonic sequence and corresponding response data, calculating the product of each harmonic value in the harmonic sequence and the input conversion ratio, recording it as a first product, performing a difference calculation between the response data and the corresponding first product to obtain a second difference, and setting the second difference as the response accuracy;

[0028] The accuracy levels are divided according to the response accuracy. The accuracy levels include a first accuracy level, a second accuracy level, and a third accuracy level. The first accuracy level, the second accuracy level, and the third accuracy level are represented by decreasing degrees of accuracy. The accuracy level division logic includes:

[0029] The first value and the second value are set as a difference threshold, wherein the first value is smaller than the second value, and the second difference is compared with the difference threshold; when the second difference is smaller than or equal to the first value, the accuracy level is set to the first accuracy level; when the second difference is greater than the first value and smaller than or equal to the second value, the accuracy level is set to the second accuracy level; and when the second difference is greater than the second value, the accuracy level is set to the third accuracy level.

[0030] As a preferred embodiment of the power-on detection method for electric power meter production described in the present invention, the response stability of the device to be detected is calculated based on the temperature data. The calculation logic of the response stability includes selecting any point, calculating the average value of the temperature of the point, calculating the standard deviation value of the point according to the standard deviation formula, traversing each point, calculating the standard deviation value of each point, calculating the average value of the standard deviation values ​​of each point, recording it as a second average value, and setting the second average value as the response stability;

[0031] Stability levels are divided according to response stability. The stability levels include a first stability level, a second stability level, and a third stability level. The first stability level, the second stability level, and the third stability level represent gradually decreasing degrees of stability. The method for dividing the stability levels includes:

[0032] The third value and the fourth value are set as stability thresholds, wherein the third value is smaller than the fourth value, and the response stability is compared with the stability threshold. When the response stability is smaller than or equal to the third value, the stability level is set to the first level. When the response stability is greater than the third value and smaller than or equal to the fourth value, the stability level is set to the second level. When the response stability is greater than the fourth value, the stability level is set to the third level.

[0033] As a preferred embodiment of the power-on detection method for electric power meter production described in the present invention, a three-dimensional model of the device to be detected is obtained, and key points are marked in the three-dimensional model, where the key points represent the geometric centers of internal components, and the internal components include a resistor divider, a current sensor, an input protection resistor, an operational amplifier, a filter, an AD conversion chip, an integrating capacitor, an integrating resistor, a single-chip microcomputer, a counter, a frequency divider, a decoder, and a digital tube;

[0034] According to the temperature change rate of each point after the first processing, the temperature change rate corresponding to the key point is obtained, the fifth value is set as the temperature change rate threshold, the temperature change rate corresponding to the key point is compared with the fifth value, when the temperature change rate of the corresponding point is greater than the fifth value, the corresponding component is set as an unqualified component, otherwise, the corresponding component is set as a qualified component, the total number of components and the number of unqualified components are counted, the ratio of the number of unqualified components to the total number of components is calculated, and it is set as the structural qualification.

[0035] As a preferred embodiment of the power-on detection method for electric power meter production according to the present invention, the qualified grades are divided according to the structural qualification, and the qualified grades include a first qualified grade, a second qualified grade, and a third qualified grade. The qualified degree of components represented by the first qualified grade, the second qualified grade, and the third qualified grade gradually increases. The qualified grade division logic includes:

[0036] The sixth value and the seventh value are set as qualified thresholds, and the qualified degree is compared with the qualified threshold. When the qualified degree is less than or equal to the sixth value, the qualified level is set to the first qualified level. When the qualified degree is greater than the sixth value and less than or equal to the seventh value, the qualified level is set to the second qualified level. When the qualified degree is greater than the seventh value, the qualified level is set to the third qualified level.

[0037] As a preferred solution of the power-on detection method for power meter production described in the present invention, wherein: a first score corresponding to the accuracy level, a second score corresponding to the stability level, and a third score corresponding to the qualified level are set;

[0038] The corresponding relationship of the first score includes:

[0039] The scores for the first, second, and third accuracy levels are 80, 60, and 40 respectively;

[0040] The corresponding relationship of the second score includes:

[0041] The scores for the first, second, and third stability levels are 80, 60, and 40 respectively;

[0042] The corresponding relationship of the third score includes:

[0043] The scores for the first, second and third pass levels are 40, 60 and 80 respectively;

[0044] Obtaining a first score, a second score, and a third score corresponding to the device to be detected, calculating an average of the first score, the second score, and the third score corresponding to the device to be detected, recording the average as a third average, and setting a reference value. The method for setting the reference value includes:

[0045] Calculating each value of the third average, arranging each value in descending order, selecting the median of the arrangement, and setting the median as a reference value;

[0046] The third average value is compared with a reference value, and when the third average value is less than or equal to the reference value, a reorganization signal is sent; when the third average value is greater than the reference value, a completion signal is sent.

[0047] The beneficial effects of the present invention are as follows: by setting the parameter detection sequence and automatically sending wiring signals and execution signals, the detection process is automated, the tediousness and error rate of manual operation are reduced, the equipment to be detected is selected according to the detection frequency, the equipment to be detected can be quickly located, the detection efficiency is improved, the corresponding parameter detection range and input conversion ratio are matched according to the production model, the accuracy of the detection process is ensured, the input device generates a harmonic sequence according to the execution signal, which can simulate complex power grid conditions and more comprehensively test the performance of the equipment under different working conditions, mark key points through the three-dimensional model, count the number of unqualified components, calculate the structural qualification, ensure the structural integrity of the equipment, calculate the average score according to the accuracy level, stability level and qualification level, send a reorganization signal or completion signal according to the average score, provide a basis for subsequent production decisions, and reduce the rework rate and improve production efficiency by discovering and solving quality problems early. Through precise detection and comprehensive evaluation, it is ensured that the delivered products are of high quality and stable performance, thereby improving customer satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A schematic diagram of the basic flow of a power-on detection method for power meter production provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0049] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.

[0050] Example 1, reference Figure 1 , as an embodiment of the present invention, provides a power-on detection method for power meter production, comprising the following steps:

[0051] Step S100: Obtain the production model, match the corresponding parameter detection range and input conversion ratio according to the production model, set the detection frequency, and select the device to be detected according to the detection frequency;

[0052] Step S200: Setting a parameter detection sequence, setting corresponding detection values ​​according to the parameter detection range, sending a wiring signal to the transmission device according to the detection value and the parameter detection sequence, sending an execution signal to the input device, the input device generating a harmonic sequence according to the execution signal, and collecting response data of the device to be detected within a first time period after the input device is in operation;

[0053] Step S300, calculating the response accuracy of the device to be tested based on the response data, the input conversion ratio, and the harmonic sequence, and classifying the accuracy level according to the response accuracy; calculating the response stability of the device to be tested based on the response data, and classifying the stability level according to the response stability;

[0054] Step S400, obtaining a three-dimensional model of the device to be inspected, marking key points in the three-dimensional model, counting the number of unqualified components based on the response data after the first processing, calculating the structural qualification based on the number of unqualified components, and classifying the qualified grades based on the structural qualification;

[0055] Step S500: Set the first score corresponding to the accuracy level, the second score corresponding to the stability level, and the third score corresponding to the qualified level, calculate the average of the first score, the second score, and the third score corresponding to the device to be tested, and send a reorganization signal or a completion signal according to the average.

[0056] The present invention realizes the automation of the detection process by setting the parameter detection sequence and automatically sending wiring signals and execution signals, reduces the tediousness and error rate of manual operation, selects the equipment to be detected according to the detection frequency, can quickly locate the equipment to be detected, improves the detection efficiency, matches the corresponding parameter detection range and input conversion ratio according to the production model, ensures the accuracy of the detection process, and the input device generates a harmonic sequence according to the execution signal, which can simulate complex power grid conditions and more comprehensively test the performance of the equipment under different working conditions. Key points are marked by three-dimensional models, the number of unqualified components is counted, the structural qualification is calculated, and the structural integrity of the equipment is ensured. The average score is calculated according to the accuracy level, stability level and qualification level, and a reorganization signal or completion signal is sent according to the average score to provide a basis for subsequent production decisions. By discovering and solving quality problems early, the rework rate is reduced and production efficiency is improved. Through precise detection and comprehensive evaluation, it is ensured that the delivered products are of high quality and stable performance, thereby improving customer satisfaction.

[0057] Obtaining a production model, retrieving a detection database, inputting the production model into the detection database, and matching a parameter detection range and an input conversion ratio corresponding to the production model. The input conversion ratio is expressed as a ratio of output data to input data of the production model. A larger value of the input conversion ratio indicates a higher accuracy of the corresponding instrument. The parameter detection range includes a current detection range and a voltage detection range. The parameter detection range is expressed as a range of input current and a range of input voltage that the instrument of the production model can accept.

[0058] The first frequency is set as the detection frequency, a corresponding instrument is selected according to the detection frequency, and the instrument corresponding to the detection frequency is set as the device to be detected.

[0059] In specific implementation, by obtaining the production model and retrieving the detection database, the corresponding parameter detection range and input conversion ratio can be accurately matched. By setting the detection frequency and selecting the corresponding instrument, the equipment to be tested can be quickly located, reducing manual operation. Not only the response accuracy but also the response stability and structural qualification are evaluated. The performance of the equipment is comprehensively evaluated from multiple dimensions. By counting the number of unqualified components and calculating the structural qualification, data support is provided for quality control in the production process. The automation and flexibility of the detection method enable the production process to quickly adapt to equipment of different models and specifications. The optimized detection process and precise evaluation standards can improve resource utilization and reduce waste.

[0060] Set the parameter detection order, which is voltage detection first and then current detection;

[0061] The corresponding detection value is set according to the parameter detection range, and the setting method of the detection value includes:

[0062] Obtaining a voltage detection range, calculating a first difference between an upper limit and a lower limit of the voltage detection range, setting a value of one thousandth of the first difference as a first change gradient, and cyclically weighting the difference with the first change gradient starting from the lower limit of the voltage detection range to obtain M first weighted sum values, where M is a natural number. When the weighted sum value reaches the upper limit of the voltage detection range, the weighting is stopped, and each weighted sum value is set as the corresponding detection value;

[0063] Obtain a current detection range, calculate a second difference between the upper limit of the current detection range and the lower limit of the current detection range, set a value of one thousandth of the second difference as a second change gradient, and cyclically perform weighted addition on the second change gradient starting from the lower limit of the current detection range to obtain N second weighted sum values, where N is a natural number. When the second weighted sum value reaches the upper limit of the current detection range, stop weighting and set each second weighted sum value as the corresponding detection value.

[0064] In specific implementation, by subdividing the detection range into multiple detection values ​​(such as a gradient of one thousandth), the performance of the instrument under different input conditions can be evaluated more accurately, ensuring the accuracy of the detection results. By gradually increasing the detection value from the lower limit of the detection range, the entire detection range can be fully covered to avoid missing any possible error points. The clear detection sequence (voltage detection first, then current detection) ensures the systematic and logical nature of the detection process, avoiding omissions or duplications caused by random detection. The detection value is generated by gradually weighting to ensure that every point in the detection range is detected, thereby improving the comprehensiveness of the detection. By calculating the difference and gradient, the detection value is automatically generated. The measurement value reduces the workload of manually setting the detection value and improves the detection efficiency. The voltage detection range is 0V to 100V, and the current detection range is 0A to 10A. The specific calculation is as follows: the first difference is 100, the first change gradient is 0.1, starting from 0V, each time increasing by 0.1V until 100V, the generated detection values ​​are 0, 0.1, 0.2, ..., 100, a total of 1001 detection values; the second difference is 10, the second change gradient is 0.01, starting from 0A, each time increasing by 0.01A until 10A, the generated detection values ​​are 0, 0.01, 0.02, ..., 10, a total of 1001 detection values.

[0065] Sending a wiring signal to the transmission device according to the detection value and parameter detection sequence, and sending an execution signal to the input device, the wiring signal includes an access voltage terminal signal and an access current terminal signal, and the execution signal includes an execution voltage harmonic signal and an execution current harmonic signal;

[0066] The transmission device is used to connect the input device to the port of the device to be detected, and the port of the device to be detected includes a current input terminal and a voltage input terminal. When performing current detection, the transmission device receives the input current terminal signal and inserts the input device's wiring into the current input terminal of the device to be detected. When performing voltage detection, the transmission device receives the input voltage terminal signal and inserts the input device's wiring into the voltage input terminal of the device to be detected.

[0067] The input device is used to generate a harmonic sequence. When performing voltage detection, the input device receives a voltage harmonics signal and generates voltage harmonics, and gradually increases the voltage harmonics value within a first time period according to the corresponding detection value. When performing current detection, the input device receives a current harmonics signal and generates current harmonics, and gradually increases the current harmonics value within a first time period according to the corresponding detection value.

[0068] Within the first time period after the input device is in operation, response data of the device to be detected is collected, the response data including temperature data and corresponding parameter data, the corresponding parameter data including output voltage data and output current data, and the corresponding parameter data is parameter data output by the device to be detected.

[0069] In specific implementation, by sending wiring signals to the transmission equipment and execution signals to the input device, the accurate generation and transmission of the detection signal is ensured. By gradually increasing the voltage or current harmonic value in the first time period, the response of the device to be detected under different input conditions can be observed more carefully, avoiding misjudgment due to signal mutation. The parameter detection sequence (voltage detection first, then current detection) ensures the systematic and logical nature of the detection process, avoiding omissions or duplications due to random detection. The standardized detection process ensures the quality consistency of different batches of products and enhances the market competitiveness of the products. The fine-grained setting of specific data ensures the comprehensiveness and accuracy of the detection, providing a solid foundation for subsequent data analysis and quality improvement.

[0070] The response data is subjected to a first processing, wherein the first processing is used to establish a temperature field, wherein the first characteristic quantity is represented by a temperature distribution characteristic. The first processing is to calculate a heating rate of the temperature data of each point of the device to be detected within a first time period and a boundary heat flux within the first time period. The heating rate calculation method includes:

[0071] Calculating differences between adjacent temperature data, where the adjacent temperature data are expressed as being adjacent in time order, calculating a ratio of the difference between the adjacent temperature data and the previous temperature data, recording the ratio as a first ratio, calculating an average of the first ratios, and setting the average of the first ratios as a heating rate;

[0072] The calculation method of the boundary heat flux includes:

[0073] Obtain temperature data at various points on the housing of the device to be tested, select any point, calculate the average value of the temperature data at the point, record it as a first average value, calculate the average of the first average values, record it as a second average value, set the second average value as the wall temperature, obtain the convective heat transfer coefficient and the ambient temperature, and calculate the heat flux according to Newton's law of cooling;

[0074] The initial temperature data, heat flux, ambient temperature, and convective heat transfer coefficient of the first time period are set as boundary conditions, a three-dimensional model of the device to be tested is obtained, the three-dimensional model and the various temperature data are imported into ANSYS software to obtain a grid structure, and a temperature field is constructed according to the boundary conditions and the grid structure. The temperature field represents the spatial distribution of temperature and the rate of change of temperature.

[0075] In the specific implementation, by calculating the difference and ratio of adjacent temperature data, the accurate heating rate is obtained, which can more accurately describe the change of temperature over time. The heat flux is calculated using Newton's cooling law. Combined with the wall temperature and ambient temperature, the heat exchange on the surface of the equipment can be accurately simulated. In addition to temperature data, parameters such as heat flux and ambient temperature are also combined to evaluate the thermal performance of the equipment from multiple dimensions. The initial temperature is 20, the collection interval is 1, the collected temperatures are 21, 22.2 and 23.5, the differences between adjacent temperatures are 1, 1.2 and 1.3 respectively, the first ratios are 0.05, 0.057, 0.058 respectively, the heating rate is 0.055, the shell electrical temperatures are 25, 26 and 24, the avoidance temperature is 25, the convective heat transfer coefficient is 10, the ambient temperature is 20, and the heat flux is 50.

[0076] Calculate the response accuracy of the device to be detected based on the response data, the input conversion ratio, and the harmonic sequence. The calculation method of the response accuracy includes:

[0077] Obtaining a harmonic sequence and corresponding response data, calculating the product of each harmonic value in the harmonic sequence and the input conversion ratio, recording it as a first product, performing a difference calculation between the response data and the corresponding first product to obtain a second difference, and setting the second difference as the response accuracy;

[0078] The accuracy levels are divided according to the response accuracy. The accuracy levels include a first accuracy level, a second accuracy level, and a third accuracy level. The first accuracy level, the second accuracy level, and the third accuracy level are represented by decreasing degrees of accuracy. The accuracy level division logic includes:

[0079] The first value and the second value are set as a difference threshold, wherein the first value is smaller than the second value, and the second difference is compared with the difference threshold; when the second difference is smaller than or equal to the first value, the accuracy level is set to the first accuracy level; when the second difference is greater than the first value and smaller than or equal to the second value, the accuracy level is set to the second accuracy level; and when the second difference is greater than the second value, the accuracy level is set to the third accuracy level.

[0080] In specific implementation, accurate response accuracy is obtained by calculating the product of each harmonic value in the harmonic sequence and the input conversion ratio, and performing a difference calculation with the response data. Through accurate response accuracy calculation and multi-level accuracy division, it is ensured that each instrument undergoes strict quality inspection before leaving the factory, thereby improving the overall quality of the product. The harmonic sequences are 10, 20, and 30, and the input conversion ratio is 0.9. The corresponding response data are 9.5, 18.5, and 27.5. The first products are 9, 18, and 27 respectively, and the second difference is 0.5. The response accuracy is 0.5, and the accuracy level is the second accuracy level.

[0081] Calculating the response stability of the device to be tested based on the temperature data, wherein the calculation logic of the response stability includes selecting any point, calculating the average temperature of the point, calculating the standard deviation value of the point according to the standard deviation formula, traversing each point, calculating the standard deviation value of each point, calculating the average value of the standard deviation value of each point, recording it as a second average value, and setting the second average value as the response stability;

[0082] Stability levels are divided according to response stability. The stability levels include a first stability level, a second stability level, and a third stability level. The first stability level, the second stability level, and the third stability level represent gradually decreasing degrees of stability. The method for dividing the stability levels includes:

[0083] The third value and the fourth value are set as stability thresholds, wherein the third value is smaller than the fourth value, and the response stability is compared with the stability threshold. When the response stability is smaller than or equal to the third value, the stability level is set to the first level. When the response stability is greater than the third value and smaller than or equal to the fourth value, the stability level is set to the second level. When the response stability is greater than the fourth value, the stability level is set to the third level.

[0084] In the specific implementation, the temperature data includes 21, 22.2, 23.5, the average value is 22.23, the standard deviation is 1.03, the standard deviation values ​​of other points are 1.05, 1.01, 1.07, the response stability is 1.04, the third value is 0.5, the fourth value is 1.5, and the temperature level is the second stability level.

[0085] Obtain a three-dimensional model of the device to be tested, and mark key points in the three-dimensional model, where the key points represent the geometric centers of internal components, including a resistor divider, a current sensor, an input protection resistor, an operational amplifier, a filter, an AD conversion chip, an integrating capacitor, an integrating resistor, a single-chip microcomputer, a counter, a frequency divider, a decoder, and a digital tube;

[0086] According to the temperature change rate of each point after the first processing, the temperature change rate corresponding to the key point is obtained, the fifth value is set as the temperature change rate threshold, the temperature change rate corresponding to the key point is compared with the fifth value, when the temperature change rate of the corresponding point is greater than the fifth value, the corresponding component is set as an unqualified component, otherwise, the corresponding component is set as a qualified component, the total number of components and the number of unqualified components are counted, the ratio of the number of unqualified components to the total number of components is calculated, and it is set as the structural qualification.

[0087] In the specific implementation, by obtaining the three-dimensional model of the equipment and marking the key points, the position of the internal components can be accurately located to ensure the accuracy of the evaluation. By comparing the temperature change rate of the key points with the threshold, unqualified components can be accurately identified, such as resistor divider: key point 1, current sensor: key point 2, input protection resistor: key point 3, operational amplifier: key point 4, filter: key point 5, AD conversion chip: key point 6, integral capacitor: key point 7, integral resistor: key point 8, single-chip microcomputer: key point 9, counter: key point 10, divider: key point 11, decoder: key point 12, digital tube: key point 13, temperature change rate As follows: key point 1: ΔT1=0.2, key point 2: ΔT2=0.3, key point 3: ΔT3=0.4, key point 4: ΔT4=0.1, key point 5: ΔT5=0.5, key point 6: ΔT6=0.2, key point 7: ΔT7=0.3, key point 8: ΔT8=0.4, key point 9: ΔT9=0.1, key point 10: ΔT10=0.2, key point 11: ΔT11=0.3, key point 12: ΔT12=0.4, key point 13: ΔT13=0.5, the fifth value is 0.4, the total number of components: 13, the number of unqualified components: 2, and the structural qualification is 15.38%.

[0088] The qualified grades are divided according to the structural qualification, and the qualified grades include a first qualified grade, a second qualified grade, and a third qualified grade. The qualified degrees of components represented by the first qualified grade, the second qualified grade, and the third qualified grade gradually increase. The qualified grade division logic includes:

[0089] The sixth value and the seventh value are set as qualified thresholds, and the qualified degree is compared with the qualified threshold. When the qualified degree is less than or equal to the sixth value, the qualified level is set to the first qualified level. When the qualified degree is greater than the sixth value and less than or equal to the seventh value, the qualified level is set to the second qualified level. When the qualified degree is greater than the seventh value, the qualified level is set to the third qualified level.

[0090] In the specific implementation, the sixth value (the first qualified level threshold) is 20%, and the seventh value (the second qualified level threshold) is 10%. The qualified level is set to the second qualified level. Through this detection method, power meter manufacturers can achieve efficient, accurate and comprehensive quality control in the production process, improve product quality and production efficiency, and enhance market competitiveness.

[0091] Set the first score corresponding to the accuracy level, the second score corresponding to the stability level, and the third score corresponding to the qualified level;

[0092] The corresponding relationship of the first score includes:

[0093] The scores for the first, second, and third accuracy levels are 80, 60, and 40 respectively;

[0094] The corresponding relationship of the second score includes:

[0095] The scores for the first, second, and third stability levels are 80, 60, and 40 respectively;

[0096] The corresponding relationship of the third score includes:

[0097] The scores for the first, second and third pass levels are 40, 60 and 80 respectively;

[0098] Obtaining a first score, a second score, and a third score corresponding to the device to be detected, calculating an average of the first score, the second score, and the third score corresponding to the device to be detected, recording the average as a third average, and setting a reference value. The method for setting the reference value includes:

[0099] Calculating each value of the third average, arranging each value in descending order, selecting the median of the arrangement, and setting the median as a reference value;

[0100] The third average value is compared with a reference value, and when the third average value is less than or equal to the reference value, a reorganization signal is sent; when the third average value is greater than the reference value, a completion signal is sent.

[0101] In specific implementation, the overall performance of the equipment is comprehensively evaluated by combining the scores of the accuracy level, stability level and qualification level, and the signal sent is a completion signal.

[0102] The present invention realizes the automation of the detection process by setting the parameter detection sequence and automatically sending wiring signals and execution signals, reduces the tediousness and error rate of manual operation, selects the equipment to be detected according to the detection frequency, can quickly locate the equipment to be detected, improves the detection efficiency, matches the corresponding parameter detection range and input conversion ratio according to the production model, ensures the accuracy of the detection process, and the input device generates a harmonic sequence according to the execution signal, which can simulate complex power grid conditions and more comprehensively test the performance of the equipment under different working conditions. Key points are marked by three-dimensional models, the number of unqualified components is counted, the structural qualification is calculated, and the structural integrity of the equipment is ensured. The average score is calculated according to the accuracy level, stability level and qualification level, and a reorganization signal or completion signal is sent according to the average score to provide a basis for subsequent production decisions. By discovering and solving quality problems early, the rework rate is reduced and production efficiency is improved. Through precise detection and comprehensive evaluation, it is ensured that the delivered products are of high quality and stable performance, thereby improving customer satisfaction.

[0103] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code. The storage medium may be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0104] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that modifications or equivalent replacements of the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A power-on detection method for electric power meter production, characterized in that: The following steps are involved: Step S100: Obtain the production model, match the corresponding parameter detection range and input conversion ratio according to the production model, set the detection frequency, and select the device to be detected according to the detection frequency; Step S200: Setting a parameter detection sequence, setting corresponding detection values ​​according to the parameter detection range, sending a wiring signal to the transmission device according to the detection value and the parameter detection sequence, sending an execution signal to the input device, the input device generating a harmonic sequence according to the execution signal, and collecting response data of the device to be detected within a first time period after the input device is in operation; Step S300, calculating the response accuracy of the device to be tested based on the response data, the input conversion ratio, and the harmonic sequence, and classifying the accuracy level according to the response accuracy; calculating the response stability of the device to be tested based on the response data, and classifying the stability level according to the response stability; Step S400, obtaining a three-dimensional model of the device to be inspected, marking key points in the three-dimensional model, counting the number of unqualified components based on the response data after the first processing, calculating the structural qualification based on the number of unqualified components, and classifying the qualified grades based on the structural qualification; Step S500: setting a first score corresponding to the accuracy level, a second score corresponding to the stability level, and a third score corresponding to the qualified level, calculating an average of the first score, the second score, and the third score corresponding to the device to be tested, and sending a reassembly signal or a completion signal based on the average value; Sending a wiring signal to the transmission device according to the detection value and parameter detection sequence, and sending an execution signal to the input device, the wiring signal includes an access voltage terminal signal and an access current terminal signal, and the execution signal includes an execution voltage harmonic signal and an execution current harmonic signal; The transmission device is used to connect the input device to the port of the device to be detected, and the port of the device to be detected includes a current input terminal and a voltage input terminal. When performing current detection, the transmission device receives the input current terminal signal and inserts the input device's wiring into the current input terminal of the device to be detected. When performing voltage detection, the transmission device receives the input voltage terminal signal and inserts the input device's wiring into the voltage input terminal of the device to be detected. The input device is used to generate a harmonic sequence. When performing voltage detection, the input device receives a voltage harmonics signal and generates voltage harmonics, and gradually increases the voltage harmonics value within a first time period according to the corresponding detection value. When performing current detection, the input device receives a current harmonics signal and generates current harmonics, and gradually increases the current harmonics value within a first time period according to the corresponding detection value. Collect response data of the device to be detected within a first time period after the input device is in operation, the response data including temperature data and corresponding parameter data, the corresponding parameter data including output voltage data and output current data, the corresponding parameter data being parameter data output by the device to be detected; The response data is subjected to a first processing, wherein the first processing is used to establish a temperature field, wherein the first characteristic quantity is represented by a temperature distribution characteristic. The first processing is to calculate a heating rate of the temperature data of each point of the device to be detected within a first time period and a boundary heat flux within the first time period. The heating rate calculation method includes: Calculating differences between adjacent temperature data, where the adjacent temperature data are expressed as being adjacent in time order, calculating a ratio of the difference between the adjacent temperature data and the previous temperature data, recording the ratio as a first ratio, calculating an average of the first ratios, and setting the average of the first ratios as a heating rate; The calculation method of the boundary heat flux includes: Obtain temperature data at various points on the housing of the device to be tested, select any point, calculate the average value of the temperature data at the point, record it as a first average value, calculate the average of the first average values, record it as a second average value, set the second average value as the wall temperature, obtain the convective heat transfer coefficient and the ambient temperature, and calculate the heat flux according to Newton's law of cooling; The initial temperature data, heat flux, ambient temperature, and convective heat transfer coefficient of the first time period are set as boundary conditions, a three-dimensional model of the device to be tested is obtained, the three-dimensional model and the temperature data are imported into ANSYS software to obtain a grid structure, and a temperature field is constructed based on the boundary conditions and the grid structure, wherein the temperature field represents the spatial distribution of temperature and the rate of change of temperature; Calculate the response accuracy of the device to be detected based on the response data, the input conversion ratio, and the harmonic sequence. The calculation method of the response accuracy includes: Obtaining a harmonic sequence and corresponding response data, calculating the product of each harmonic value in the harmonic sequence and the input conversion ratio, recording it as a first product, performing a difference calculation between the response data and the corresponding first product to obtain a second difference, and setting the second difference as the response accuracy; The accuracy levels are divided according to the response accuracy. The accuracy levels include a first accuracy level, a second accuracy level, and a third accuracy level. The first accuracy level, the second accuracy level, and the third accuracy level are represented by decreasing degrees of accuracy. The accuracy level division logic includes: Setting a first value and a second value as a difference threshold, wherein the first value is less than the second value, comparing the second difference with the difference threshold, when the second difference is less than or equal to the first value, setting the accuracy level to the first accuracy level, when the second difference is greater than the first value and less than or equal to the second value, setting the accuracy level to the second accuracy level, and when the second difference is greater than the second value, setting the accuracy level to the third accuracy level; Calculating the response stability of the device to be tested based on the temperature data, wherein the calculation logic of the response stability includes selecting any point, calculating the average temperature of the point, calculating the standard deviation value of the point according to the standard deviation formula, traversing each point, calculating the standard deviation value of each point, calculating the average value of the standard deviation value of each point, recording it as a second average value, and setting the second average value as the response stability; Stability levels are divided according to response stability. The stability levels include a first stability level, a second stability level, and a third stability level. The first stability level, the second stability level, and the third stability level represent gradually decreasing degrees of stability. The method for dividing the stability levels includes: setting a third value and a fourth value as stability thresholds, wherein the third value is less than the fourth value, comparing the response stability with the stability threshold, and when the response stability is less than or equal to the third value, setting the stability level to the first level; when the response stability is greater than the third value and less than or equal to the fourth value, setting the stability level to the second level; and when the response stability is greater than the fourth value, setting the stability level to the third level; Obtain a three-dimensional model of the device to be tested, and mark key points in the three-dimensional model, where the key points represent the geometric centers of internal components, including a resistor divider, a current sensor, an input protection resistor, an operational amplifier, a filter, an AD conversion chip, an integrating capacitor, an integrating resistor, a single-chip microcomputer, a counter, a frequency divider, a decoder, and a digital tube; According to the temperature change rate of each point after the first processing, the temperature change rate corresponding to the key point is obtained, the fifth value is set as the temperature change rate threshold, the temperature change rate corresponding to the key point is compared with the fifth value, when the temperature change rate of the corresponding point is greater than the fifth value, the corresponding component is set as an unqualified component, otherwise, the corresponding component is set as a qualified component, the total number of components and the number of unqualified components are counted, the ratio of the number of unqualified components to the total number of components is calculated, and it is set as the structural qualification.

2. The power-on detection method for electric power meter production according to claim 1, characterized in that: Obtaining a production model, retrieving a detection database, inputting the production model into the detection database, and matching a parameter detection range and an input conversion ratio corresponding to the production model. The input conversion ratio is expressed as a ratio of output data to input data of the production model. A larger value of the input conversion ratio indicates a higher accuracy of the corresponding instrument. The parameter detection range includes a current detection range and a voltage detection range. The parameter detection range is expressed as a range of input current and a range of input voltage that the instrument of the production model can accept. The first frequency is set as the detection frequency, a corresponding instrument is selected according to the detection frequency, and the instrument corresponding to the detection frequency is set as the device to be detected.

3. The power-on detection method for electric power meter production according to claim 1, characterized in that: Set the parameter detection order, which is voltage detection first and then current detection; The corresponding detection value is set according to the parameter detection range, and the setting method of the detection value includes: Obtaining a voltage detection range, calculating a first difference between an upper limit and a lower limit of the voltage detection range, setting a value of one thousandth of the first difference as a first change gradient, and cyclically weighting the difference with the first change gradient starting from the lower limit of the voltage detection range to obtain M first weighted sum values, where M is a natural number. When the weighted sum value reaches the upper limit of the voltage detection range, the weighting is stopped, and each weighted sum value is set as the corresponding detection value; Obtain a current detection range, calculate a second difference between the upper limit of the current detection range and the lower limit of the current detection range, set a value of one thousandth of the second difference as a second change gradient, and cyclically perform weighted addition on the second change gradient starting from the lower limit of the current detection range to obtain N second weighted sum values, where N is a natural number. When the second weighted sum value reaches the upper limit of the current detection range, stop weighting and set each second weighted sum value as the corresponding detection value.

4. The power-on detection method for electric power meter production according to claim 1, characterized in that: The qualified grades are divided according to the structural qualification, and the qualified grades include a first qualified grade, a second qualified grade, and a third qualified grade. The qualified degrees of components represented by the first qualified grade, the second qualified grade, and the third qualified grade gradually increase. The qualified grade division logic includes: The sixth value and the seventh value are set as qualified thresholds, and the qualified degree is compared with the qualified threshold. When the qualified degree is less than or equal to the sixth value, the qualified level is set to the first qualified level. When the qualified degree is greater than the sixth value and less than or equal to the seventh value, the qualified level is set to the second qualified level. When the qualified degree is greater than the seventh value, the qualified level is set to the third qualified level.

5. The power-on detection method for electric power meter production according to claim 1, characterized in that: Set the first score corresponding to the accuracy level, the second score corresponding to the stability level, and the third score corresponding to the qualified level; The corresponding relationship of the first score includes: The scores for the first, second, and third accuracy levels are 80, 60, and 40 respectively; The corresponding relationship of the second score includes: The scores for the first, second, and third stability levels are 80, 60, and 40 respectively; The corresponding relationship of the third score includes: The scores for the first, second and third pass levels are 40, 60 and 80 respectively; Obtaining a first score, a second score, and a third score corresponding to the device to be detected, calculating an average of the first score, the second score, and the third score corresponding to the device to be detected, recording the average as a third average, and setting a reference value. The method for setting the reference value includes: Calculating each value of the third average, arranging each value in descending order, selecting the median of the arrangement, and setting the median as a reference value; The third average value is compared with a reference value, and when the third average value is less than or equal to the reference value, a reorganization signal is sent; when the third average value is greater than the reference value, a completion signal is sent.

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