Electric energy meter production environment comprehensive quality evaluation method and system

Abstract

The invention belongs to the technical field of data processing, and particularly relates to an electric energy meter production environment comprehensive quality evaluation method and system, and the method comprises the steps: collecting the real-time environment data in an electric energy meter aging room and the operation load data of an electric energy meter; according to the real-time environment data, the instantaneous comprehensive stress intensity applied to the electric energy meter by the environment at the current moment is determined in combination with the temperature data at the previous moment; performing time dimension accumulation calculation on the instantaneous comprehensive stress intensity in combination with operation load data to obtain an accumulated aging effective dose of the current batch of electric energy meters; and determining a production consistency evaluation index according to the ratio of the cumulative aging effective dose to a preset target dose and the stress fluctuation degree in the aging process, and judging whether the aging quality of the electric energy meter is qualified or not based on the cumulative aging effective dose and the production consistency evaluation index. The method can achieve the dynamic evaluation of the aging quality of the electric energy meter based on the effective aging dose calculation.

Description

Technical Field

[0001] This invention relates to the field of data processing technology. More specifically, this invention relates to a method and system for comprehensive quality assessment of the production environment of electricity meters. Background Technology

[0002] As a key legal metering instrument for electricity settlement, the electricity meter's integrated core components, such as the metering chip and electrolytic capacitor, require extremely high stability. To eliminate early-failure products and ensure factory quality, high-temperature aging testing has become an indispensable part of the production process. This test accelerates the exposure of potential defects by artificially applying environmental thermal and voltage stresses, thereby ensuring the reliability of the product throughout its entire life cycle.

[0003] Currently, the industry generally adopts an aging management model with constant parameters and fixed duration. For example, the aging chamber temperature is set to 55℃ and maintained for 24 hours. As long as the process temperature does not trigger an over-limit alarm and the time is met, it is considered qualified. However, in the actual production environment, due to the large space of the aging chamber, the temperature difference between different locations can reach 3 to 5℃ due to the influence of air conditioning return air and uneven heat dissipation of equipment. In addition, the temperature difference between day and night and the temperature and humidity fluctuations caused by personnel entering and exiting result in the actual thermal stress borne by each energy meter being inconsistent.

[0004] Electricity meters located in low-temperature areas may harbor hidden dangers due to insufficient aging, and simple time accumulation cannot reflect the combined effects of humidity and temperature. Furthermore, existing environmental monitoring data is only used for simple over-limit alarms and has failed to be transformed into consistent indicators for evaluating product quality. This makes it difficult for managers to accurately grasp batch-to-batch quality differences and achieve refined quality control. Summary of the Invention

[0005] To address the issues of uneven heating and poor quality consistency in electricity meters caused by existing fixed-duration aging methods, this invention proposes a comprehensive quality assessment method and system for the production environment of electricity meters. This system can dynamically assess the aging quality of electricity meters based on the calculation of effective aging dose.

[0006] In a first aspect, the present invention provides a method for comprehensive quality assessment of the production environment of electricity meters, comprising: collecting real-time environmental data and operating load data of electricity meters in an aging chamber, wherein the real-time environmental data includes real-time ambient temperature and real-time relative humidity, and the operating load data includes load current; determining the instantaneous comprehensive stress intensity exerted on the electricity meter by the environment at the current moment based on the real-time environmental data and the temperature data at the previous moment, wherein the instantaneous comprehensive stress intensity reflects the combined effects of temperature, humidity, and thermal shock; performing a time-dimensional cumulative calculation on the instantaneous comprehensive stress intensity based on the operating load data to obtain the cumulative aging effective dose of the current batch of electricity meters; determining a production consistency assessment index based on the ratio of the cumulative aging effective dose to a preset target dose and the degree of stress fluctuation during the aging process, and determining whether the aging quality of the electricity meter is qualified based on the cumulative aging effective dose and the production consistency assessment index.

[0007] By using the above technical solution, real-time ambient temperature and relative humidity data are collected, and instantaneous comprehensive stress intensity is constructed to realize dynamic real-time monitoring of the aging process of electricity meters. This ensures that each electricity meter under test can end its aging process only after reaching the preset target dose, fundamentally solving the problem of inaccurate reliability assessment caused by environmental factors.

[0008] Preferably, the collection of real-time environmental data and operating load data of the electricity meter in the aging chamber includes: using sensors deployed at different levels of the aging bench to collect temperature and humidity data at a preset frequency, reading the power-on status of the current batch of electricity meters in the aging bench control system via a communication protocol, and obtaining the ratio of the actual current value to the rated current value as the load rate.

[0009] By introducing the Arrhenius law to calculate the temperature acceleration factor through the above technical solution, the nonlinear effect of temperature on the chemical reaction rate of electronic components is scientifically reflected, making the calculation of temperature stress more consistent with the physical failure model.

[0010] Preferably, the process of processing the real-time environmental data and the operating load data of the collected electricity meter aging room includes: setting physical ranges for temperature and humidity, and eliminating data noise outside the range; if data packet loss is detected, using valid data from before and after the loss, interpolation is performed using the sliding window method to fill the gap and obtain a continuous time series variable.

[0011] By establishing a humidity penetration factor calculation model, the influence of environmental humidity stress on the insulation performance and corrosion process of electricity meters is digitally characterized, thereby improving the accuracy of comprehensive stress intensity assessment under multi-factor coupled environments.

[0012] Preferably, the determination of the instantaneous comprehensive stress intensity exerted by the environment on the electricity meter at the current moment is calculated based on a modified model of Arrhenius's law. The specific calculation logic is as follows: the ratio of the real-time ambient temperature to the reference temperature is exponentially calculated to obtain a temperature acceleration term; the real-time relative humidity is logarithmically calculated and combined with a constant term to obtain a humidity correction term; the difference between the real-time ambient temperature and the ambient temperature at the previous moment is calculated, and a thermal shock term is determined based on this difference; the temperature acceleration term and the humidity correction term are multiplied together, and the thermal shock term is added to obtain the instantaneous comprehensive stress intensity.

[0013] By introducing the above technical solution and a thermal shock factor calculation model, the damage to the solder joints and packaging structure of the electricity meter caused by the mechanical stress generated by the sudden temperature change can be effectively captured, thus making up for the shortcomings of the single steady-state stress assessment.

[0014] Preferably, the specific calculation logic of the thermal shock term is as follows: calculate the square of the difference between the real-time ambient temperature and the ambient temperature at the previous moment; add the square value to a fixed constant and calculate the square root to obtain the rate of change value; multiply the rate of change value by the thermal shock penalty coefficient to obtain the thermal shock term, so as to reflect the additional mechanical stress introduced by the sudden temperature change.

[0015] The above technical solution uses an exponential decay function to fuse real-time environmental data to obtain instantaneous comprehensive stress intensity. The nonlinear characteristics of the exponential function are used to reasonably weight extreme stress conditions, thereby enhancing the system's sensitivity to abnormal environmental fluctuations.

[0016] Preferably, the specific calculation logic for obtaining the cumulative aging effective dose of the current batch of electricity meters is as follows: for each sampling moment, the load rate of the electricity meter is weighted using the load thermal effect coefficient to obtain the load influence factor; the instantaneous comprehensive stress intensity is multiplied by the load influence factor to obtain the effective aging intensity at that moment; the effective aging intensity of all sampling moments is multiplied by the sampling time interval and then summed to obtain the cumulative aging effective dose.

[0017] By integrating the instantaneous comprehensive stress intensity over the aging time axis using the above technical solution, the cumulative aging effective dose is obtained, thereby transforming transient environmental fluctuations into continuous cumulative damage indicators and providing data support for determining the degree of aging.

[0018] Preferably, the method further includes: real-time monitoring of the cumulative aging effective dose; if the calculated cumulative aging effective dose is less than the preset target aging dose, then automatically increasing the number of sampling points to extend the aging time until the cumulative aging effective dose is greater than or equal to the target aging dose.

[0019] By using the above technical solutions and combining historical benchmark data to construct a dynamic reliability factor for the sensor, it is possible to identify and correct zero-point drift or acquisition deviation caused by long-term operation of the sensor in real time, thus ensuring the authenticity and reliability of the input source data.

[0020] Preferably, the specific calculation logic for determining the production consistency assessment index is as follows: calculate the ratio of the cumulative effective aging dose to the preset target aging dose as the dose compliance item; calculate the sum of the absolute values ​​of the differences between the instantaneous comprehensive stress intensity and the average stress intensity at all sampling times, divide it by the product of the total number of sampling points and the average stress intensity to obtain the coefficient of variation item; subtract the coefficient of variation item from the constant 1 to obtain the stability factor; multiply the dose compliance item by the stability factor to obtain the production consistency assessment index.

[0021] By using the above technical solution, the preset target dose is used as the sole criterion for determining the end of the aging process, breaking the blindness of the traditional timed end and realizing the intelligent transformation of the aging process from time-driven to damage dose-driven.

[0022] Preferably, the strategy for determining whether the aging quality of the electricity meter is qualified is as follows: if and only if the cumulative effective aging dose is greater than or equal to the preset target aging dose, and the production consistency assessment index is greater than the preset qualification threshold, the current batch of electricity meters is determined to be qualified for aging and a release instruction is issued; otherwise, a re-inspection process is triggered.

[0023] By introducing the production consistency assessment index through the above technical solution, the aging status of electricity meters in different locations of the same batch can be analyzed for dispersion, effectively identifying the temperature field uniformity problem in the aging chamber, thereby improving the quality control level of the entire batch of products.

[0024] Secondly, the present invention provides a comprehensive quality assessment system for the production environment of electricity meters, including a processor and a memory. The memory stores computer program instructions, and when the computer program instructions are executed by the processor, the above-mentioned method for comprehensive quality assessment of the production environment of electricity meters is implemented.

[0025] By adopting the above technical solution, a computer program is generated from the above-mentioned method for comprehensive quality assessment of the production environment of electricity meters, and stored in a memory for loading and execution by a processor. Terminal equipment is then manufactured based on the memory and processor for convenient use.

[0026] This invention establishes a multi-dimensional physical model covering temperature, humidity, thermal shock, and load effects. The system can dynamically sense the actual impact of environmental changes on product aging and perform closed-loop control based on the cumulative aging effective dose: when the ambient temperature is low, the system automatically extends the aging time to make up for the dose; when the environment fluctuates drastically, it issues an early warning through the production consistency assessment index, thereby significantly improving the consistency of the electricity meter's factory quality.

[0027] Furthermore, by introducing a load thermal effect coefficient and performing time integration, the system can superimpose the meter's own heating and environmental stress to accurately calculate the actual effective aging dose. This allows for automatic time compensation at low temperatures, completely eliminating the potential for insufficient aging. Based on the consistency score between the aging effective dose compliance rate and stress fluctuation dispersion, quality risks can be effectively identified, preventing the outflow of substandard products. Attached Figure Description

[0028] Figure 1 This is a flowchart illustrating a method for comprehensive quality assessment of the production environment of electricity meters according to the present invention; Figure 2 This is a schematic diagram comparing the effects of traditional timed aging and dynamic dose aging. Figure 3 This is a comparative diagram showing the distribution of product quality consistency under different models. Detailed Implementation

[0029] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments.

[0030] This invention discloses a method for comprehensive quality assessment of the production environment of electricity meters, referring to... Figure 1 This includes steps S1-S4: S1. Collect real-time environmental data and operating load data of the electricity meter in the aging chamber. The real-time environmental data includes real-time ambient temperature and real-time relative humidity, and the operating load data includes load current.

[0031] In one optional embodiment, a high-density Internet of Things (IoT) monitoring network first needs to be built in the electricity meter aging room at the production site. Specifically, the IoT monitoring network includes an environmental perception layer, a device interaction layer, and a data cleaning layer.

[0032] At the environmental sensing level, high-precision PT100 temperature sensors and capacitive humidity transmitters are deployed on the upper, middle, and lower layers of the meter aging chamber rack, respectively, and environmental data is collected at a frequency of 1Hz through an industrial gateway. At the device interaction level, communication is established with the control system of the meter aging chamber rack via the Modbus-TCP protocol to read the power-on status and load current value of the current batch of meters in real time. At the data cleaning level, after the system receives the raw data stream, it sets physical thresholds to filter the raw data stream. For example, the physical thresholds are set to a minimum temperature of 0℃ and a maximum temperature of 100℃. The system removes abnormal noise points with temperatures below 0℃ or above 100℃. While removing data, a sliding window method is used to fill in instantaneous packet loss caused by network jitter to ensure the continuity of the time series.

[0033] It should be noted that, in the embodiments of the present invention, Indicates the first The real-time ambient temperature collected by the sensor at each sampling moment, in degrees Celsius; Indicates the first The real-time relative humidity collected by the sensor at each sampling time is expressed as a percentage. Indicates the first At each sampling time, the load rate of the energy meter read from the aging test bench is calculated as the vehicle feedback current divided by the rated current, typically ranging from 0.0 to 1.2. As an embodiment of the present invention, it is assumed that at the first sampling time... At 10:00, the sensor reads a temperature of 51.5℃ and a humidity of 40%. The vehicle platform's feedback current is 5A, and its rated current is 5A. Then... , , .

[0034] Thus, through the aforementioned high-frequency, multi-dimensional data collection and cleaning steps, an accurate, real-time data foundation reflecting the actual physical conditions can be provided for the subsequent evaluation model. This avoids the bias caused by a single data source, ensures the reliability of the input data, and lays the foundation for accurate evaluation.

[0035] S2. Based on real-time environmental data and the temperature data from the previous moment, determine the instantaneous comprehensive stress intensity exerted by the environment on the electricity meter at the current moment. The instantaneous comprehensive stress intensity reflects the combined effects of temperature, humidity, and thermal shock.

[0036] In an optional embodiment, the present invention integrates temperature as the dominant accelerating factor, humidity as a corrective factor, and drastic temperature fluctuations as an additive term into a dimensionless instantaneous stress intensity. The indicator is used to characterize the instantaneous impact of the current environment on the electricity meter, thereby solving the drawbacks of the aging management mode with constant parameters and fixed duration in the existing technology.

[0037] Instantaneous stress intensity The calculation method is as follows: ; in, For the first The combined environmental stress intensity at any given time; The temperature value collected at the current moment should be processed into a dimensionless number before being included in the calculation; The temperature value at the previous sampling time is stored in the system cache and should be processed into a dimensionless number before being used in the calculation. The reference temperature constant for the aging process is set to 50 degrees Celsius in this embodiment of the invention. The humidity value collected at the current moment should be processed into a dimensionless number before being included in the calculation; This is the temperature influence coefficient, which is set to 1 in this embodiment of the invention; The acceleration index is set to 2 in this embodiment of the invention; The humidity coupling coefficient is set to 0.15 in this embodiment of the invention to work with the natural logarithm to prevent excessive humidity values ​​from causing interference. The thermal shock penalty coefficient is set to 2.5 in this embodiment of the invention.

[0038] It is important to note that in instantaneous stress intensity In the calculation method, The 1 in the value is a fixed constant used to prevent mathematical logic errors. When the ambient temperature is constant ( When ), the calculation result for this part is Its physical meaning represents the inherent background stress that the electricity meter experiences in the current high-temperature environment; when the temperature fluctuates drastically, the calculation result of this part will be significantly greater than... This significant increment reflects the additional mechanical and thermal shock stress introduced by the sudden change. To more clearly illustrate the instantaneous stress intensity... The function and calculation method of [the substance] will be explained with examples below: First, let's assume a reference temperature. for In one embodiment of the present invention, when the real-time physical environment inside the aging chamber of the electricity meter is at a stable high temperature, the temperature value collected at the current moment is... The value is 55, representing the temperature at the previous sampling time. The humidity value is 55, which is the current humidity level. If it is 40, then ; In another embodiment of the present invention, when the real-time physical environment inside the energy meter aging chamber experiences a sudden temperature change, the temperature value collected at the current moment... Because the cold air blowing in changes the temperature to 50, the temperature value at the previous sampling time... The humidity value is 55, which is the current humidity level. If it is 40, then ; Based on the analysis of the two scenarios in the electricity meter aging chamber above, it can be seen that although the real-time physical environment inside the electricity meter aging chamber is experiencing sudden temperature changes... The temperature was low, but due to the severe thermal shock it experienced, The increase is significant, which is consistent with the physical fact that thermal shock accelerates the formation of microcracks.

[0039] Thus, the above formula can transform invisible environmental pressures into visible values, especially capturing the "thermal shock" stress that traditional methods ignore, making the assessment of aging intensity more comprehensive and scientific, and avoiding the distortion caused by relying solely on average temperature.

[0040] S3. Combining the operating load data, perform a time-dimensional cumulative calculation on the instantaneous comprehensive stress intensity to obtain the cumulative aging effective dose of the current batch of energy meters. .

[0041] In an optional embodiment, in order to assess the physical degradation of the energy meter under complex stress in real time and accurately predict the risk of failure, this embodiment of the invention constructs a cumulative aging effective dose. By combining environmental stress with the meter's own heat generation and integrating over time, the aging progress of the current batch of electricity meters is monitored in real time, and the effective aging dose is accumulated. The calculation method is as follows: ; in, This represents the cumulative effective aging dose that the current batch of electricity meters has endured up to the present. This represents the total number of sampling points experienced so far. For the first The load rate of the electricity meter at any given time; The load heat effect coefficient is set to 0.5 in this embodiment of the invention. The sampling time interval is set to 1 minute in this embodiment of the invention.

[0042] To more clearly illustrate the effect and calculation process of the cumulative aging effective dose, the following example will demonstrate this: First, assume The real-time ambient temperature, real-time relative humidity, and instantaneous comprehensive stress intensity remain stable within a time interval of 1, and the calculated values ​​are... It is 4; In one embodiment of the present invention, the electricity meter is in a power-off state at this time. If the value is 0, then the effective aging dose for that minute is = ; In another embodiment of the invention, the electricity meter is at full load at this time. If the value is 1, then the effective aging dose for that minute is = ; The comparison of the two states of the electricity meter above shows that the aging efficiency under full load is 1.5 times that under power failure. At this time, the system will accumulate the current effective aging dose in real time.

[0043] To eliminate production consistency differences caused by environmental fluctuations, this invention presets a target dosage. This target dose is the cumulative aging effective dose threshold that the energy meter under test must reach before entering subsequent testing procedures. If the ambient temperature is low at this time, leading to... The value decreases, so that the cumulative aging effective dose can reach the preset target dose. The system will automatically determine if the number of sampling points needs to be increased. This means that the aging time is automatically extended.

[0044] In this way, by calculating the cumulative dosage, dynamic compensation of the aging process can be achieved, ensuring that each batch of products has been subjected to sufficient aging stress, improving the problem of insufficient aging of products under low temperature conditions, and ensuring the equivalence of aging effects under different environmental conditions.

[0045] S4. Based on the ratio of the cumulative aging effective dose to the preset target dose, and the degree of stress fluctuation during the aging process, determine the production consistency assessment index, and determine whether the aging quality of the electricity meter is qualified based on the cumulative aging effective dose and the production consistency assessment index.

[0046] In an optional embodiment, the present invention constructs a production consistency assessment index. This is used to assess the aging quality of electricity meters. Specifically, the production consistency assessment index... The calculation method is as follows: ; in, This is the production consistency assessment index for this batch of electricity meters; This represents the cumulative effective aging dose that the current batch of electricity meters has endured up to the present. The target aging dose is set in the process standard. The average stress intensity during the entire aging process is calculated as follows: ; This represents the instantaneous stress intensity.

[0047] In the calculation of the production consistency assessment index, The mean absolute deviation rate is used to reflect volatility, and at the same time, because Therefore, in actual physical environments Since the denominator is always positive, there is no risk of the denominator being zero, thus ensuring the robustness of the formula.

[0048] To more clearly illustrate the effectiveness and calculation process of the production consistency assessment index, the following example will demonstrate its effectiveness: First, let's assume the target aging dose is set in the process standard. It is 1000; In one embodiment of the present invention, the real-time ambient temperature collected by the sensor is relatively stable at this time. The value is 1000, due to extremely small fluctuations. The sum of approaches 0, therefore The value is 1.

[0049] In another embodiment of the present invention, the real-time ambient temperature collected by the sensor fluctuates significantly, but It remains at 1000, due to large fluctuations. It's also quite large, assuming the calculated result is... ,but The final value was 0.8.

[0050] Ultimately, the system makes the decision; only when... and The system only issues a release command when the temperature exceeds a set threshold; otherwise, it triggers a re-inspection. In actual aging processes, if the equipment experiences extreme environmental fluctuations due to severe malfunctions in the temperature control system or other extreme anomalies, the calculated... When the value is negative, the system will perform boundary truncation and automatically... The value is assigned to 0, and the batch of products is directly judged to be extremely unqualified, triggering the highest level alarm.

[0051] Reference Figure 2 The dashed line representing the fixed-duration mode of the prior art grows linearly and is forcibly stopped at 24 hours. It is often close to but has not reached the target quality threshold line. The slope of the curve representing the effective dose integration mode of the present invention slows down when the ambient temperature decreases, and the system intelligently extends the time until it intersects with the target quality threshold line.

[0052] Reference Figure 3The distribution of the production consistency assessment index, representing the traditional model, is discrete, while the distribution of the production consistency assessment index, representing the dynamic dose control model of this invention, is closely clustered around the value 1.

[0053] In this way, by calculating the production consistency assessment index, it is possible to effectively identify batches that, although the dosage meets the standards, have experienced drastic fluctuations in the process, thereby raising the factory quality consistency of electricity meters to a whole new level, ensuring the high reliability of the products, and preventing inferior products from entering the market.

[0054] This invention also discloses a comprehensive quality assessment system for the production environment of electricity meters, including a processor and a memory. The memory stores computer program instructions, which, when executed by the processor, implement a comprehensive quality assessment method for the production environment of electricity meters according to this invention.

[0055] The system also includes other components well known to those skilled in the art, such as communication buses and communication interfaces, the settings and functions of which are known in the art and will not be described in detail here.

[0056] In the description of this specification, "multiple" or "several" means at least two, such as two, three or more, unless otherwise expressly and specifically defined.

Claims

1. A method for comprehensive quality assessment of the production environment of electricity meters, characterized in that, include: Real-time environmental data and operating load data of the electricity meter are collected in the aging chamber. The real-time environmental data includes real-time ambient temperature and real-time relative humidity, and the operating load data includes load current. Based on the real-time environmental data and the temperature data from the previous moment, the instantaneous comprehensive stress intensity exerted by the environment on the electricity meter at the current moment is determined. The instantaneous comprehensive stress intensity reflects the combined effects of temperature, humidity and thermal shock. Based on the operating load data, the instantaneous comprehensive stress intensity is cumulatively calculated over time to obtain the cumulative aging effective dose of the current batch of energy meters. Based on the ratio of the cumulative aging effective dose to the preset target dose, and the degree of stress fluctuation during the aging process, a production consistency assessment index is determined, and the aging quality of the electricity meter is judged to be qualified based on the cumulative aging effective dose and the production consistency assessment index.

2. The method for comprehensive quality assessment of the production environment of electricity meters according to claim 1, characterized in that, The collection of real-time environmental data and operating load data of the electricity meters in the aging chamber includes: Temperature and humidity data are collected at a preset frequency using sensors deployed at different levels of the aging test bench. The power-on status of the current batch of electricity meters in the electricity meter aging test bench control system is read through the communication protocol, and the ratio of the actual current value to the rated current value is obtained as the load rate.

3. The method for comprehensive quality assessment of the production environment of electricity meters according to claim 1, characterized in that, The process of processing the real-time environmental data and operating load data of the collected electricity meter aging chamber includes: Set physical ranges for temperature and humidity, and eliminate data noise that exceeds these ranges; If a data packet loss is detected, the effective data from the preceding and following time points are used to interpolate and fill the gap using the sliding window method, thus obtaining a continuous time series variable.

4. The method for comprehensive quality assessment of the production environment of electricity meters according to claim 1, characterized in that, The determination of the instantaneous comprehensive stress intensity exerted on the electricity meter by the environment at the current moment is calculated based on a modified model of Arrhenius's law. The specific calculation logic is as follows: The temperature acceleration term is obtained by performing an exponential calculation on the ratio of the real-time ambient temperature to the reference temperature. The humidity correction term is obtained by performing a logarithmic operation on the real-time relative humidity and then combining it with a constant term. Calculate the difference between the real-time ambient temperature and the ambient temperature at the previous moment, and determine the thermal shock term based on this difference; Multiply the temperature acceleration term by the humidity correction term, and then add the thermal shock term to obtain the instantaneous comprehensive stress intensity.

5. The method for comprehensive quality assessment of the production environment of electricity meters according to claim 4, characterized in that, The specific calculation logic for the thermal shock term is as follows: Calculate the square of the difference between the real-time ambient temperature and the ambient temperature at the previous moment; The square root is calculated by adding the squared value to a fixed constant to obtain the rate of change value; The thermal shock term is obtained by multiplying the rate of change value by the thermal shock penalty factor to reflect the additional mechanical stress introduced by the sudden temperature change.

6. The method for comprehensive quality assessment of the production environment of electricity meters according to claim 1, characterized in that, The specific calculation logic for obtaining the cumulative aging effective dose of the current batch of electricity meters is as follows: For each sampling time, the load rate of the energy meter is weighted using the load thermal effect coefficient to obtain the load influence factor; Multiply the instantaneous comprehensive stress intensity by the load influence factor to obtain the effective aging intensity at that moment; The cumulative effective aging dose is obtained by summing the effective aging intensity multiplied by the sampling time interval for all sampling moments.

7. The method for comprehensive quality assessment of the production environment of electricity meters according to claim 6, characterized in that, The method further includes: Real-time monitoring of the cumulative aging effective dose; If the calculated cumulative effective aging dose is less than the preset target aging dose, the number of sampling points will be automatically increased to extend the aging time until the cumulative effective aging dose is greater than or equal to the target aging dose.

8. The method for comprehensive quality assessment of the production environment of electricity meters according to claim 1, characterized in that, The specific calculation logic for determining the production consistency assessment index is as follows: Calculate the ratio of the cumulative effective aging dose to the preset target aging dose, and use it as the dose compliance item; Calculate the sum of the absolute values ​​of the differences between the instantaneous combined stress intensity and the average stress intensity at all sampling times, and divide it by the product of the total number of sampling points and the average stress intensity to obtain the coefficient of variation term; Subtracting the coefficient of variation term from the constant 1 yields the stability factor; The production consistency assessment index is obtained by multiplying the dose attainment item by the stability factor.

9. The method for comprehensive quality assessment of the production environment of electricity meters according to claim 8, characterized in that, The strategy for determining whether the aging quality of the electricity meter is up to standard is as follows: The current batch of electricity meters is deemed to be aging qualified and a release order is issued only if the cumulative effective aging dose is greater than or equal to the preset target aging dose and the production consistency assessment index is greater than the preset qualification threshold. Otherwise, trigger the re-inspection process.

10. A comprehensive quality assessment system for the production environment of electricity meters, characterized in that, include: A processor and a memory, wherein the memory stores computer program instructions that, when executed by the processor, implement a method for comprehensive quality assessment of the production environment of an electricity meter according to any one of claims 1-9.

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