Power-on detection method for electric power meter production

Abstract

The invention discloses a power-on detection method for electric power meter production, and relates to the technical field of meter detection, and the method comprises the following steps: selecting to-be-detected equipment, sending a wiring signal and an execution signal, collecting response data of the to-be-detected equipment, calculating response precision, dividing precision grades, calculating response stability, dividing stability grades, and marking key points. And calculating a structure qualification degree, dividing qualification grades, and sending a recombination signal or a completion signal. By setting the parameter detection sequence and automatically sending the wiring signal and the execution signal, automation of the detection process is achieved, the input device generates a harmonic sequence according to the execution signal, complex power grid conditions can be simulated, and the detection accuracy is improved by calculating the structure qualification degree, ensuring the structural integrity of the device and sending a recombination signal or a completion signal. A basis is provided for subsequent production decision making, the rework rate is reduced, the production efficiency is improved, and the customer satisfaction is improved through accurate 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 power instrument production. Background Art

[0002] In recent years, with the application of comprehensive 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, the detection of power instruments has become more accurate and efficient. By improving the backbone feature network of the model and other means, small-scale and highly likely target images in complex environments can be quickly detected, improving the detection speed and accuracy. Through a variety of improvement measures, there are obvious advantages in detection accuracy and speed.

[0003] Currently, in the Chinese patent application with the publication number CN112285625A, a general-purpose power instrument automatic calibration system and its calibration method are disclosed. In this method, the clamping jaw of the detection robot inserts the fixed insertion pin into the corresponding wire hole of the instrument, closes the clamping jaw, and the calibration system starts the standard source according to the returned signal to input the range and calibrate the instrument. However, in the related technology, the accuracy level of the instrument is not quantitatively scored according to the accuracy requirements of the instrument itself, lacking the intuitiveness and pertinence of detection, not comprehensively detecting the instrument with multiple parameters, lacking the comprehensiveness of detection, and at the same time being unfavorable to the scientific nature of continuous production or restructuring decisions. Summary of the Invention

[0004] The technical problem solved by the present invention is that in the related technology, the accuracy level of the instrument is not quantitatively scored according to the accuracy requirements of the instrument itself, lacking the intuitiveness and pertinence of detection, not comprehensively detecting the instrument with multiple parameters, lacking the comprehensiveness of detection, and at the same time being unfavorable to the scientific nature of continuous 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 instrument production, including the following steps: 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, set the parameter detection order, set the corresponding detection values according to the parameter detection range, send the wiring signal to the transmission device according to the detection values and the parameter detection order, send the execution signal to the input device, the input device generates a harmonic sequence according to the execution signal, and collect the response data of the device to be detected within the first time period after the input device operates; Step S300: Calculate the response accuracy of the device under test based on the response data, input conversion ratio, and harmonic sequence, divide the accuracy level according to the response accuracy, calculate the response stability of the device under test based on the response data, and divide the stability level according to the response stability; Step S400: Obtain the 3D model of the device under test, mark key points in the 3D model, count the number of unqualified components according to the first-processed response data, calculate the structural qualification degree according to the number of unqualified components, and divide the qualification level according to the structural qualification degree; 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 qualification level, calculate the average value of the first score, second score, and third score corresponding to the device under test, and send a recombination signal or a completion signal according to the average value.

[0006] As a preferred solution of the power meter production power-on detection method described in the present invention, the following steps are included: Obtain the production model, retrieve the detection database, input the production model into the detection database, and match the parameter detection range and input conversion ratio corresponding to the production model. The input conversion ratio is expressed as the ratio of the output data to the input data of the production model. The larger the value of the input conversion ratio, the higher the corresponding meter accuracy. The parameter detection range includes the current detection range and the voltage detection range, and the parameter detection range is expressed as the range of input current and input voltage that the meter of the production model can accept; Set the first frequency as the detection frequency, select the corresponding meter according to the detection frequency, and set the meter corresponding to the detection frequency as the device under test.

[0007] As a preferred solution of the power meter production power-on detection method described in the present invention, the following step is included: Set the parameter detection order, where the parameter detection order is to detect voltage first and then current; Set the corresponding detection values according to the parameter detection range. The setting method of the detection values includes: Obtain the voltage detection range, calculate the first difference between the upper limit and the lower limit of the voltage detection range, set one-thousandth of the value of the first difference as the first change gradient, start from the lower limit of the voltage detection range, and cycle and weight with the first change gradient to obtain M first weighted sum values, where M is a natural number. Stop weighting until the weighted sum value reaches the upper limit of the voltage detection range, and set each weighted sum value as the corresponding detection value; Obtain the current detection range, calculate the second difference between the upper limit and the lower limit of the current detection range, set the value of one-thousandth of the second difference as the second change gradient, starting from the lower limit of the current detection range, cycle and perform weighting with the second change gradient to obtain N second weighted sum values, where N is a natural number, and stop weighting until the second weighted sum value reaches the upper limit of the current detection range, and set each second weighted sum value as the corresponding detection value.

[0008] As a preferred solution of a power-on detection method for power meter production according to the present invention, wherein: send a wiring signal to the transmission device and an execution signal to the input device according to the detection value and the parameter detection sequence, 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 ports of the device to be detected. The ports of the device to be detected include a current input terminal and a voltage input terminal. When performing current detection, the transmission device receives the access voltage terminal signal and inserts the wiring of the input device into the current input terminal of the device to be detected. When performing voltage detection, the transmission device receives the access current terminal signal and inserts the wiring of the input device 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 the execution voltage harmonic signal, generates a voltage harmonic, and gradually increases the voltage harmonic value within the first time period according to the corresponding detection value. When performing current detection, the input device receives the execution current harmonic signal, generates a current harmonic, and gradually increases the current harmonic value within the first time period according to the corresponding detection value; Within the first time period after the input device operates, collect the response data of the device to be detected. The response data includes temperature data and corresponding parameter data. The corresponding parameter data includes output voltage data and output current data. The corresponding parameter data is the parameter data output by the device to be detected.

[0009] As a preferred solution of a power-on detection method for power meter production according to the present invention, wherein: perform a first process on the response data. The first process is used to establish a temperature field. The first characteristic quantity is represented as the distribution characteristic of temperature. The first process is to calculate the heating rate of the temperature data of each point of the device to be detected within the first time period and the boundary heat flux within the first time period. The calculation method of the heating rate includes: Calculate the difference between adjacent temperature data. The adjacent temperature data is represented as adjacent in time sequence. Calculate the ratio of the difference between adjacent temperature data to the previous temperature data, denoted as the first ratio. Calculate the average value of each first ratio, and set the average value of the first ratio as the heating rate; The calculation method of the boundary heat flux includes: Obtain the temperature data of each point on the shell of the device to be detected, select any point, calculate the average value of the temperature data of this point, denoted as the first average value, calculate the average value of each first average value, denoted as the 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; Set the initial temperature data, heat flux, ambient temperature, and convective heat transfer coefficient in the first time period as boundary conditions, obtain the three-dimensional model of the device to be detected, import the three-dimensional model and each temperature data into ANSYS software to obtain a grid structure, and construct a temperature field 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.

[0010] As a preferred scheme of an energization detection method for power meter production according to the present invention, wherein: according to the response data, input conversion ratio, and harmonic sequence, calculate the response accuracy of the device to be detected. The calculation method of the response accuracy includes: Obtain the harmonic sequence and the corresponding response data, calculate the product of each harmonic value in the harmonic sequence and the input conversion ratio, denoted as the first product, perform a subtraction calculation on the response data and the corresponding first product to obtain a second difference, and set the second difference as the response accuracy; Divide the accuracy levels 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 represent gradually decreasing accuracy degrees. The division logic of the accuracy levels includes: Set a first value and a second value as difference thresholds. Among them, the first value is less than the second value. Compare the second difference with the difference thresholds. When the second difference is less than or equal to the first value, set the accuracy level as the first accuracy level. When the second difference is greater than the first value and less than or equal to the second value, set the accuracy level as the second accuracy level. When the second difference is greater than the second value, set the accuracy level as the third accuracy level.

[0011] As a preferred scheme of an energization detection method for power meter production according to the present invention, wherein: calculate the response stability of the device to be detected according to the temperature data. The calculation logic of the response stability includes: select any point, calculate the average value of the temperature of this point, calculate the standard deviation value of this point according to the standard deviation formula, traverse each point, calculate the standard deviation values of each point, calculate the average value of the standard deviation values of each point, denoted as the second average value, and set the second average value as the response stability; The stability levels are divided according to the response stability. The stability levels include the first stability level, the second stability level, and the third stability level. The stability degrees represented by the first stability level, the second stability level, and the third stability level gradually decrease. The method for dividing the stability levels includes: Set the third value and the fourth value as the stability thresholds, where the third value is less than the fourth value. Compare the response stability with the stability thresholds. When the response stability is less than or equal to the third value, set the stability level as the first level. When the response stability is greater than the third value and less than or equal to the fourth value, set the stability level as the second level. When the response stability is greater than the fourth value, set the stability level as the third level.

[0012] As a preferred solution of a power-on detection method for power meter production according to the present invention, wherein: Obtain the three-dimensional model of the device to be detected, and mark key points in the three-dimensional model. The key points are represented as 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; According to the temperature change rate of each point after the first processing, obtain the temperature change rate corresponding to the key point. Set the fifth value as the temperature change rate threshold, and compare the temperature change rate corresponding to the key point with the fifth value. When the temperature change rate of the corresponding point is greater than the fifth value, set the corresponding component as a non-conforming component. Otherwise, set the corresponding component as a conforming component. Count the total number of components and the number of non-conforming components, calculate the ratio of the number of non-conforming components to the total number of components, and set it as the structural qualification degree.

[0013] As a preferred solution of a power-on detection method for power meter production according to the present invention, wherein: Divide the qualification levels according to the structural qualification degree. The qualification levels include the first qualification level, the second qualification level, and the third qualification level. The qualification degrees represented by the first qualification level, the second qualification level, and the third qualification level gradually increase. The division logic of the qualification levels includes: Set the sixth value and the seventh value as the qualification thresholds, and compare the qualification degree with the qualification thresholds. When the qualification degree is less than or equal to the sixth value, set the qualification level as the first qualification level. When the qualification degree is greater than the sixth value and less than or equal to the seventh value, set the qualification level as the second qualification level. When the qualification degree is greater than the seventh value, set the qualification level as the third qualification level.

[0014] As a preferred solution of an energization detection method for the production of power meters according to 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; The corresponding relationships of the first score include: The scores corresponding to the first accuracy level, the second accuracy level, and the third accuracy level are respectively: 80, 60, and 40; The corresponding relationships of the second score include: The scores corresponding to the first stability level, the second stability level, and the third stability level are respectively: 80, 60, and 40; The corresponding relationships of the third score include: The scores corresponding to the first qualified level, the second qualified level, and the third qualified level are respectively: 40, 60, and 80; Obtain the first score, the second score, and the third score corresponding to the device to be detected, calculate the average value of the first score, the second score, and the third score corresponding to the device to be detected, denoted as the third average value, and set a reference value. The setting method of the reference value includes: Calculate each value of the third average value, arrange each value in descending order, select the median after arrangement, and set the median as the reference value; Compare the third average value with the reference value. When the third average value is less than or equal to the reference value, send a recombination signal. When the third average value is greater than the reference value, send a completion signal.

[0015] Advantages of the present invention: By setting the parameter detection sequence and automatically sending the wiring signal and the execution signal, the automation of the detection process is realized, reducing the cumbersome nature and error rate of manual operations. Selecting the device to be detected according to the detection frequency can quickly locate the device to be detected and improve the detection efficiency. Matching the corresponding parameter detection range and input conversion ratio according to the production model ensures the accuracy of the detection process. 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 device under different working conditions. Marking key points through a three-dimensional model, counting the number of unqualified components, and calculating the structural qualification rate ensure the structural integrity of the device. Calculating the average score according to the accuracy level, stability level, and qualified level, and sending a recombination signal or a completion signal according to the average score provides a basis for subsequent production decisions. By detecting and solving quality problems early, the rework rate is reduced and the production efficiency is improved. Through precise detection and comprehensive evaluation, it is ensured that the delivered products have high quality and stable performance, improving customer satisfaction. Description of the Drawings

[0016] Figure 1Schematic diagram of the basic process of a power-on detection method for power meter production provided by an embodiment of the present invention. Detailed implementation manners

[0017] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following detailed description of the specific implementation manners of the present invention will be given with reference to the accompanying drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of them.

[0018] Embodiment 1, referring to Figure 1 , which is an embodiment of the present invention, provides a power-on detection method for power meter production, including the following steps: 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: Set the parameter detection order, set the corresponding detection values according to the parameter detection range, send the wiring signal to the transmission device and the execution signal to the input device according to the detection values and the parameter detection order. The input device generates a harmonic sequence according to the execution signal, and collect the response data of the device to be detected within the first time period after the input device operates; Step S300: Calculate the response accuracy of the device to be detected according to the response data, input conversion ratio, and harmonic sequence, divide the accuracy level according to the response accuracy, calculate the response stability of the device to be detected according to the response data, and divide the stability level according to the response stability; Step S400: Obtain the three-dimensional model of the device to be detected, mark the key points in the three-dimensional model, count the number of unqualified components according to the first-processed response data, calculate the structural qualification degree according to the number of unqualified components, and divide the qualification level according to the structural qualification degree; 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 qualification level, calculate the average value of the first score, second score, and third score corresponding to the device to be detected, and send the reorganization signal or the completion signal according to the average value.

[0019] 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 complexity and error rate of manual operations, selects the devices to be detected according to the detection frequency, can quickly locate the devices that need 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, the input device generates a harmonic sequence according to the execution signal, can simulate complex grid conditions, and more comprehensively tests the performance of the device under different working conditions. By marking key points with a three-dimensional model, counting the number of unqualified components, and calculating the structural qualification rate, the structural integrity of the device is ensured. According to the accuracy level, stability level, and qualification level, the average score is calculated, and a recombination signal or a completion signal is sent according to the average score, providing a basis for subsequent production decisions. By detecting and solving quality problems at an early stage, the rework rate is reduced and the production efficiency is improved. Through precise detection and comprehensive evaluation, it is ensured that the delivered products have high quality and stable performance, and customer satisfaction is improved.

[0020] Obtain the production model, retrieve the detection database, input the production model into the detection database, and match the corresponding parameter detection range and input conversion ratio. The input conversion ratio is expressed as the ratio of the output data to the input data of the production model. The larger the value of the input conversion ratio, the higher the corresponding instrument accuracy. The parameter detection range includes a current detection range and a voltage detection range, and the parameter detection range is expressed as the range of input current and the range of input voltage that the instrument of the production model can accept. Set the first frequency as the detection frequency, select the corresponding instrument according to the detection frequency, and set the instrument corresponding to the detection frequency as the device to be detected.

[0021] 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 device to be detected can be quickly located, reducing manual operations. Not only the response accuracy is evaluated, but also the response stability and structural qualification rate are evaluated, comprehensively evaluating the performance of the device from multiple dimensions. By counting the number of unqualified components and calculating the structural qualification rate, 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 devices of different models and specifications, and the optimized detection process and precise evaluation criteria can improve resource utilization and reduce waste.

[0022] Set the parameter detection sequence, and the parameter detection sequence is to detect voltage first and then current. Set the corresponding detection values according to the parameter detection range. The setting method of the detection values includes: Obtain the voltage detection range, calculate the first difference between the upper limit and the lower limit of the voltage detection range, set the value of one-thousandth of the first difference as the first change gradient, starting from the lower limit of the voltage detection range, cycle and perform weighting with the first change gradient to obtain M first weighted sum values, where M is a natural number. Stop weighting until the weighted sum value reaches the upper limit of the voltage detection range, and set each weighted sum value as the corresponding detection value. Obtain the current detection range, calculate the second difference between the upper limit and the lower limit of the current detection range, set the value of one-thousandth of the second difference as the second change gradient, starting from the lower limit of the current detection range, cycle and perform weighting with the second change gradient to obtain N second weighted sum values, where N is a natural number. Stop weighting until the second weighted sum value reaches the upper limit of the current detection range, and set each second weighted sum value as the corresponding detection value.

[0023] 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 precisely, ensuring the accuracy of the detection results. Increasing the detection values step by step from the lower limit of the detection range can comprehensively cover the entire detection range, avoiding missing any possible error points. The clear detection order (voltage detection first and then current detection) ensures the systematicness and logic of the detection process, avoiding omissions or repetitions caused by random detection. Generating detection values by the method of step-by-step weighting ensures that every point within the detection range is detected, improving the comprehensiveness of the detection. By calculating the difference and gradient, the detection values are automatically generated, reducing the workload of manually setting the detection values and improving the detection efficiency. The voltage detection range is from 0V to 100V, and the current detection range is from 0A to 10A. The specific calculations are as follows: the first difference is 100, the first change gradient is 0.1, starting from 0V, increasing by 0.1V each time until 100V, and the generated detection values are 0, 0.1, 0.2, …, 100, with a total of 1001 detection values; the second difference is 10, the second change gradient is 0.01, starting from 0A, increasing by 0.01A each time until 10A, and the generated detection values are 0, 0.01, 0.02, …, 10, with a total of 1001 detection values.

[0024] Send a wiring signal to the transmission device and an execution signal to the input device according to the detection values and the parameter detection order. The wiring signal includes a voltage terminal access signal and a current terminal access 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 ports of the device to be detected. The ports of the instrument to be detected include a current input terminal and a voltage input terminal. When performing current detection, the transmission device receives the signal of the connected voltage terminal and inserts the wiring of the input device into the current input terminal of the device to be detected. When performing voltage detection, the transmission device receives the signal of the connected current terminal and inserts the wiring of the input device 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 the execution voltage harmonic signal, generates a voltage harmonic, and gradually increases the voltage harmonic value within the first time period according to the corresponding detection value. When performing current detection, the input device receives the execution current harmonic signal, generates a current harmonic, and gradually increases the current harmonic value within the first time period according to the corresponding detection value; Within the first time period after the input device operates, the response data of the device to be detected is collected. The response data includes temperature data and corresponding parameter data. The corresponding parameter data includes output voltage data and output current data. The corresponding parameter data is the parameter data output by the device to be detected.

[0025] In specific implementation, by sending a wiring signal to the transmission device and an execution signal to the input device, the accurate generation and transmission of the detection signal are ensured. Gradually increasing the voltage or current harmonic value within the first time period can more carefully observe the response of the device to be detected under different input conditions, avoiding misjudgment caused by signal mutation. Through the parameter detection sequence (voltage detection first and then current detection), the systematicness and logic of the detection process are ensured, avoiding omission or repetition caused by random detection. The standardized detection process ensures the quality consistency of different batches of products, enhancing 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.

[0026] Perform a first processing on the response data. The first processing is used to establish a temperature field. The first characteristic quantity is expressed as the distribution characteristic of temperature. The first processing is to calculate the heating rate of the temperature data of each point of the device to be detected within the first time period and the boundary heat flux within the first time period. The calculation method of the heating rate includes: Calculate the difference between adjacent temperature data. The adjacent temperature data is expressed as adjacent in time sequence. Calculate the ratio of the difference between adjacent temperature data to the previous temperature data, denoted as the first ratio. Calculate the average value of each first ratio, and set the average value of the first ratio as the heating rate; The calculation method of the boundary heat flux includes: Obtain the temperature data of each point on the shell of the device to be detected. Select any point, calculate the average value of the temperature data of this point, denoted as the first average value. Calculate the average value of each first average value, denoted as the 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 cooling law; Set the initial temperature data, heat flux, ambient temperature, and convective heat transfer coefficient in the first time period as boundary conditions. Obtain the three-dimensional model of the device to be detected. Import the three-dimensional model and each temperature data into ANSYS software to obtain a mesh structure. Construct a temperature field according to the boundary conditions and the mesh structure. The temperature field represents the spatial distribution of temperature and the rate of change of temperature.

[0027] In specific implementation, by calculating the difference and ratio of adjacent temperature data, an accurate heating rate can be obtained, which can more accurately describe the change of temperature over time. Using Newton's cooling law to calculate the heat flux and combining the wall temperature and the ambient temperature can accurately simulate the heat exchange situation on the surface of the device. In addition to temperature data, parameters such as heat flux and ambient temperature are also combined to evaluate the thermal performance of the device from multiple dimensions. The initial temperature is 20, the acquisition interval time is 1, the acquired 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, and 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. The heat flux is 50.

[0028] Calculate the response accuracy of the device to be detected according to the response data, input conversion ratio, and harmonic sequence. The calculation method of the response accuracy includes: Obtain the harmonic sequence and the corresponding response data. Calculate the product of each harmonic value in the harmonic sequence and the input conversion ratio, denoted as the first product. Perform a subtraction calculation between the response data and the corresponding first product to obtain the second difference. Set the second difference as the response accuracy; Divide the accuracy level according to the response accuracy. The accuracy levels include the first accuracy level, the second accuracy level, and the third accuracy level. The accuracy degrees represented by the first accuracy level, the second accuracy level, and the third accuracy level gradually decrease. The division logic of the accuracy levels includes: Set the first value and the second value as the difference thresholds. Among them, the first value is less than the second value. Compare the second difference with the difference thresholds. When the second difference is less than or equal to the first value, set the accuracy level as the first accuracy level. When the second difference is greater than the first value and less than or equal to the second value, set the accuracy level as the second accuracy level. When the second difference is greater than the second value, set the accuracy level as the third accuracy level.

[0029] In specific implementation, 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, an accurate response accuracy is obtained. Through accurate response accuracy calculation and multi-level accuracy division, it is ensured that each instrument has undergone strict quality inspection before leaving the factory, improving the overall quality of the product. The harmonic sequence is 10, 20, 30, the input conversion ratio is 0.9, the corresponding response data are 9.5, 18.5, 27.5, the first products are 9, 18, 27 respectively, the second difference is 0.5, the response accuracy is 0.5, and the accuracy level is the second accuracy level.

[0030] Calculate the response stability of the device to be detected according to the temperature data. The calculation logic of the response stability includes: selecting any point, calculating the average value of the temperature at this point, calculating the standard deviation value of this point according to the standard deviation formula, traversing each point, calculating the standard deviation values of each point, calculating the average value of the standard deviation values of each point, denoted as the second average value, and setting the second average value as the response stability; Divide the stability level according to the response stability. The stability level includes the first stability level, the second stability level, and the third stability level. The stability degrees represented by the first stability level, the second stability level, and the third stability level gradually decrease. The method for dividing the stability level includes: Set the third value and the fourth value as the stability thresholds. Among them, the third value is less than the fourth value. Compare the response stability with the stability thresholds. When the response stability is less than or equal to the third value, set 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, set the stability level to the second level. When the response stability is greater than the fourth value, set the stability level to the third level.

[0031] In 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 respectively, 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.

[0032] Obtain the three-dimensional model of the device to be detected, and mark key points in the three-dimensional model. The key points are represented as the geometric centers of internal components. The internal components include resistor dividers, current sensors, input protection resistors, operational amplifiers, filters, AD conversion chips, integration capacitors, integration resistors, single-chip microcomputers, counters, frequency dividers, decoders, and digital tubes; According to the temperature change rate of each point after the first processing, obtain the temperature change rate corresponding to the key points. Set the fifth value as the temperature change rate threshold, and compare the temperature change rate corresponding to the key points with the fifth value. When the temperature change rate of the corresponding point is greater than the fifth value, set the corresponding component as a non-conforming component; otherwise, set the corresponding component as a conforming component. Count the total number of components and the number of non-conforming components, calculate the ratio of the number of non-conforming components to the total number of components, and set it as the structural qualification degree.

[0033] In specific implementation, by obtaining the 3D model of the device and marking the key points, the positions 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, the non-conforming components can be accurately identified. Resistive voltage 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, Integrating capacitor: Key point 7, Integrating resistor: Key point 8, Microcontroller: Key point 9, Counter: Key point 10, Frequency divider: Key point 11, Decoder: Key point 12, Digital tube: Key point 13. The temperature change rates are 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 non-conforming components: 2, and the structural qualification degree is 15.38%.

[0034] Divide the qualification levels according to the structural qualification degree. The qualification levels include the first qualification level, the second qualification level, and the third qualification level. The qualified degrees represented by the first qualification level, the second qualification level, and the third qualification level increase gradually. The division logic of the qualification levels includes: Set the sixth value and the seventh value as the qualification thresholds, and compare the qualification degree with the qualification thresholds. When the qualification degree is less than or equal to the sixth value, set the qualification level as the first qualification level; when the qualification degree is greater than the sixth value and less than or equal to the seventh value, set the qualification level as the second qualification level; when the qualification degree is greater than the seventh value, set the qualification level as the third qualification level.

[0035] In specific implementation, the sixth value (the first qualified level threshold): 20%, the seventh value (the second qualified level threshold): 10%, and the qualified level is set as the second qualified level. Through this detection method, power meter manufacturing enterprises can achieve efficient, accurate, and comprehensive quality control during the production process, improve product quality and production efficiency, and enhance market competitiveness.

[0036] 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 corresponding to the first accuracy level, the second accuracy level, and the third accuracy level are respectively: 80, 60, 40; The corresponding relationship of the second score includes: The scores corresponding to the first stability level, the second stability level, and the third stability level are respectively: 80, 60, and 40; The corresponding relationship of the third score includes: The scores corresponding to the first qualified level, the second qualified level, and the third qualified level are respectively: 40, 60, and 80; Obtain the first score, the second score, and the third score corresponding to the device to be detected, calculate the average value of the first score, the second score, and the third score corresponding to the device to be detected, denoted as the third average value, and set a reference value. The setting method of the reference value includes: Calculate each value of the third average value, arrange the values in descending order, select the median after the arrangement, and set the median as the reference value; Compare the third average value with the reference value. When the third average value is less than or equal to the reference value, send a recombination signal. When the third average value is greater than the reference value, send a completion signal.

[0037] In specific implementation, by combining the scores of the accuracy level, the stability level, and the qualified level, comprehensively evaluate the overall performance of the device, and the signal sent is a completion signal.

[0038] 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 complexity and error rate of manual operations, selects the devices to be detected according to the detection frequency, can quickly locate the devices that need to be detected, improves the detection efficiency, matches the corresponding parameter detection range and input conversion ratio according to the production model to ensure the accuracy of the detection process. The input device generates a harmonic sequence according to the execution signal, can simulate complex power grid conditions, and more comprehensively test the performance of the device under different working conditions. By marking key points with a 3D model, counting the number of unqualified components, and calculating the structural qualification rate, the structural integrity of the device is ensured. According to the accuracy level, stability level, and qualification level, the average score is calculated, and a recombination signal or a completion signal is sent according to the average score, providing a basis for subsequent production decisions. By detecting and solving quality problems early, the rework rate is reduced and the production efficiency is improved. Through precise detection and comprehensive evaluation, it is ensured that the delivered products have high quality and stable performance, improving customer satisfaction.

[0039] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code. Among them, the storage medium is implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, abbreviated as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, abbreviated as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, abbreviated as EPROM), programmable read-only memory (Programmable Red-Only Memory, abbreviated as PROM), read-only memory (Read-Only Memory, abbreviated as ROM), magnetic memory, flash memory, magnetic disk, or optical disk. These computer program instructions can 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 a manufactured article including an instruction device, and the instruction device implements the functions specified in one process Figure 1 one process or multiple processes and / or boxes Figure 1 specified in a box or multiple boxes.

[0040] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill 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 all be covered within the scope of the claims of the present invention.

Claims

1. A power-on detection method for the production of power meters, characterized in that, It includes the following steps: 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: Set the parameter detection sequence, set the corresponding detection values according to the parameter detection range, send a wiring signal to the drive device and an execution signal to the input device according to the detection values and the parameter detection sequence. The input device generates a harmonic sequence according to the execution signal. During the first time period after the input device operates, collect the response data of the device to be detected; Step S300: Calculate the response accuracy of the device to be detected according to the response data, the input conversion ratio and the harmonic sequence, divide the accuracy level according to the response accuracy, calculate the response stability of the device to be detected according to the response data, and divide the stability level according to the response stability; Step S400: Obtain the three-dimensional model of the device to be detected, mark the key points in the three-dimensional model, count the number of unqualified components according to the first-processed response data, calculate the structural qualification degree according to the number of unqualified components, and divide the qualification level according to the structural qualification degree; 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 qualification level, calculate the average value of the first score, the second score and the third score corresponding to the device to be detected, and send a recombination signal or a completion signal according to the average value; 2. The power-on detection method for power meter production according to claim 1, wherein: Obtain the production model, retrieve the detection database, input the production model into the detection database, match the parameter detection range and the input conversion ratio corresponding to the production model. The input conversion ratio is expressed as the ratio of the output data to the input data of the production model. The larger the value of the input conversion ratio, the higher the corresponding instrument accuracy. The parameter detection range includes a current detection range and a voltage detection range, and the parameter detection range is expressed as the range of input current and the range of input voltage that the instrument of the production model can accept; Set the first frequency as the detection frequency, select the corresponding instrument according to the detection frequency, and set the instrument corresponding to the detection frequency as the device to be detected; 3. The power-on detection method for power meter production according to claim 1, characterized in that: Set the parameter detection sequence, and the parameter detection sequence is to detect voltage first and then current; Set the corresponding detection values according to the parameter detection range, and the setting method of the detection values includes: Obtain the voltage detection range, calculate the first difference between the upper limit and the lower limit of the voltage detection range, set one-thousandth of the value of the first difference as the first change gradient, start from the lower limit of the voltage detection range, cycle and weight with the first change gradient to obtain M first weighted sum values, where M is a natural number, and stop weighting until the weighted sum value reaches the upper limit of the voltage detection range, and set each weighted sum value as the corresponding detection value; Obtain the current detection range, calculate the second difference between the upper limit and the lower limit of the current detection range, set the value of one-thousandth of the second difference as the second change gradient, starting from the lower limit of the current detection range, loop and perform weighting with the second change gradient to obtain N second weighted sum values, where N is a natural number. Stop weighting until the second weighted sum value reaches the upper limit of the current detection range, and set each second weighted sum value as the corresponding detection value.

4. A power-on detection method for power meter production according to claim 3, characterized in that: Send a wiring signal to the transmission device and an execution signal to the input device according to the detection value and the parameter detection sequence. 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 ports of the device to be detected. The ports of the device to be detected include a current input terminal and a voltage input terminal. When performing current detection, the transmission device receives the access voltage terminal signal and inserts the wiring of the input device into the current input terminal of the device to be detected. When performing voltage detection, the transmission device receives the access current terminal signal and inserts the wiring of the input device 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 the execution voltage harmonic signal, generates a voltage harmonic, and gradually increases the voltage harmonic value within the first time period according to the corresponding detection value. When performing current detection, the input device receives the execution current harmonic signal, generates a current harmonic, and gradually increases the current harmonic value within the first time period according to the corresponding detection value. Within the first time period after the input device starts running, collect the response data of the device to be detected. The response data includes temperature data and corresponding parameter data. The corresponding parameter data includes output voltage data and output current data, and the corresponding parameter data is the parameter data output by the device to be detected.

5. The power-on detection method for power meter production according to claim 4, characterized in that: Perform a first processing on the response data. The first processing is used to establish a temperature field. The first characteristic quantity is represented as the distribution characteristic of temperature. The first processing is to calculate the heating rate of the temperature data at each point of the device to be detected within the first time period and the boundary heat flux within the first time period. The calculation method of the heating rate includes: Calculate the difference between adjacent temperature data. The adjacent temperature data are represented as adjacent in time sequence. Calculate the ratio of the difference between adjacent temperature data to the previous temperature data, denoted as the first ratio. Calculate the average value of each first ratio, and set the average value of the first ratio as the heating rate. The calculation method of the boundary heat flux includes: Obtain the temperature data at each point on the outer shell of the device to be detected, select any point, calculate the average value of the temperature data at this point, denoted as the first average value. Calculate the average value of each first average value, denoted as the 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. Set the initial temperature data, heat flux, ambient temperature, and convective heat transfer coefficient of the first time period as boundary conditions, obtain the three-dimensional model of the device to be detected, import the three-dimensional model and each temperature data into ANSYS software to obtain a mesh structure, and construct a temperature field based on the boundary conditions and the mesh structure. The temperature field represents the spatial distribution of temperature and the rate of change of temperature.

6. The energization detection method for the production of power meters according to claim 1, characterized in that: Calculate the response accuracy of the device to be detected according to the response data, input conversion ratio, and harmonic sequence. The calculation method of the response accuracy includes: Obtain the harmonic sequence and the corresponding response data, calculate the product of each harmonic value in the harmonic sequence and the input conversion ratio, denoted as the first product, perform a subtraction calculation on the response data and the corresponding first product to obtain a second difference, and set the second difference as the response accuracy; Divide the accuracy level according to the response accuracy. The accuracy level includes the first accuracy level, the second accuracy level, and the third accuracy level. The first accuracy level, the second accuracy level, and the third accuracy level represent gradually decreasing accuracy degrees. The division logic of the accuracy level includes: Set the first value and the second value as the difference threshold. Among them, the first value is less than the second value. Compare the second difference with the difference threshold. When the second difference is less than or equal to the first value, set the accuracy level as the first accuracy level. When the second difference is greater than the first value and less than or equal to the second value, set the accuracy level as the second accuracy level. When the second difference is greater than the second value, set the accuracy level as the third accuracy level.

7. The power-on detection method for power meter production according to claim 1, characterized in that: Calculate the response stability of the device to be detected according to the temperature data. The calculation logic of the response stability includes selecting any point, calculating the average value of the temperature at this point, calculating the standard deviation value of this point according to the standard deviation formula, traversing each point, calculating the standard deviation values of each point, calculating the average value of the standard deviation values of each point, denoted as the second average value, and setting the second average value as the response stability; Divide the stability level according to the response stability. The stability level includes the first stability level, the second stability level, and the third stability level. The first stability level, the second stability level, and the third stability level represent gradually decreasing stability degrees. The division method of the stability level includes: Set the third value and the fourth value as the stability threshold. Among them, the third value is less than the fourth value. Compare the response stability with the stability threshold. When the response stability is less than or equal to the third value, set the stability level as the first level. When the response stability is greater than the third value and less than or equal to the fourth value, set the stability level as the second level. When the response stability is greater than the fourth value, set the stability level as the third level.

8. The power-on detection method for power meter production according to claim 1, characterized in that: Obtain the three-dimensional model of the device to be detected, mark key points in the three-dimensional model. The key points represent the geometric centers of internal components, and the internal components include resistor dividers, current sensors, input protection resistors, operational amplifiers, filters, AD conversion chips, integration capacitors, integration resistors, single-chip microcontrollers, counters, frequency dividers, decoders, and digital tubes; Based on the temperature change rate of each processed point in the first step, obtain the temperature change rate corresponding to the key points. Set the fifth value as the temperature change rate threshold, and compare the temperature change rate corresponding to the key points with the fifth value. When the temperature change rate of the corresponding point is greater than the fifth value, set the corresponding component as a non-conforming component; otherwise, set the corresponding component as a conforming component. Count the total number of components and the number of non-conforming components, calculate the ratio of the number of non-conforming components to the total number of components, and set it as the structural qualification degree.

9. The power-on detection method for power meter production according to claim 8, wherein: Divide the qualification levels according to the structural qualification degree. The qualification levels include the first qualification level, the second qualification level, and the third qualification level. The qualification degrees represented by the first qualification level, the second qualification level, and the third qualification level increase gradually. The division logic of the qualification levels is as follows: Set the sixth value and the seventh value as the qualification thresholds, and compare the qualification degree with the qualification thresholds. When the qualification degree is less than or equal to the sixth value, set the qualification level as the first qualification level; when the qualification degree is greater than the sixth value and less than or equal to the seventh value, set the qualification level as the second qualification level; when the qualification degree is greater than the seventh value, set the qualification level as the third qualification level.

10. A power-on detection method for 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 qualification level; The corresponding relationship of the first score includes: The scores corresponding to the first accuracy level, the second accuracy level, and the third accuracy level are: 80, 60, and 40 respectively; The corresponding relationship of the second score includes: The scores corresponding to the first stability level, the second stability level, and the third stability level are: 80, 60, and 40 respectively; The corresponding relationship of the third score includes: The scores corresponding to the first qualification level, the second qualification level, and the third qualification level are: 40, 60, and 80 respectively; Obtain the first score, the second score, and the third score corresponding to the device to be detected, calculate the average value of the first score, the second score, and the third score corresponding to the device to be detected, and denote it as the third average value. Set the reference value. The setting method of the reference value includes: Calculate each value of the third average value, arrange the values in descending order, select the median after arrangement, and set the median as the reference value; Compare the third average value with the reference value. When the third average value is less than or equal to the reference value, send a reorganization signal; when the third average value is greater than the reference value, send a completion signal.

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