A method, device and related equipment for predicting the initial life of an electric energy meter

Abstract

The present application discloses a method, apparatus, and related equipment for predicting the initial lifespan of an electric energy meter. The method comprises: obtaining a component list of the electric energy meter, the component list including each component of the electric energy meter and the type and model of each component; performing accelerated aging tests on components of the same type but different models to obtain the initial lifespan of the components of the type; obtaining the failure rate of each type of component and the influence factor of each type of component on the lifespan of the electric energy meter; adjusting the initial lifespan of the components of the type using the failure rate of each type of component and the influence factor of each type of component on the lifespan of the electric energy meter to obtain a predicted lifespan of the components of the type; and determining the initial lifespan of the electric energy meter based on the predicted lifespan of each type of component. The present application can improve the accuracy of predicting the initial lifespan of the electric energy meter, thereby facilitating an improvement in the accuracy of predicting the remaining lifespan of the electric energy meter.

Description

Technical Field

[0001] The present application relates to the technical field of electric energy meter fault information mining, and more specifically, to a method, device and related equipment for predicting the initial life of an electric energy meter. Background Art

[0002] As the service life of smart electricity meters increases, the number of electricity meters that require periodic rotation, random inspection, fault replacement, calibration, functional replacement, etc. will show an increasing trend, resulting in an increasing number of electricity meters removed for daily operation and maintenance.

[0003] In the existing electricity meter rotation method, the rotation cycle is mainly determined based on the average lifespan in the design phase. Field operation experience shows that among the electricity meters removed according to this rotation cycle, there are a large number of meters that still have good performance. For these electricity meters with good performance, if they are directly scrapped, it will cause a large amount of waste of special funds and unpredictable power outage losses during meter replacement.

[0004] How to improve the accuracy of the prediction of the initial life of electricity meters and avoid economic losses caused by blindly determining the rotation cycle of electricity meters has become an urgent problem to be solved. Summary of the Invention

[0005] In view of this, the present application provides a method, device and related equipment for predicting the initial life of an electricity meter to improve the prediction accuracy of the initial life of an electricity meter.

[0006] To achieve the above objectives, the present application provides, in a first aspect, a method for predicting the initial life of an electric energy meter, comprising:

[0007] Obtaining a component list of the electric energy meter, the component list including each component of the electric energy meter and the type and model of each component;

[0008] By conducting accelerated aging tests on components of the same type but different models, the initial life of the components of the type is obtained;

[0009] Obtain the failure rate of various types of components and the factors affecting the life of the electric energy meter;

[0010] Using the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter, the initial life of the component of the type is adjusted to obtain the predicted life of the component of the type;

[0011] Determine the initial life of the energy meter based on the predicted life of each type of component.

[0012] Preferably, the process of obtaining the component list of the electric energy meter includes:

[0013] Determining the components list of the electric energy meter using visual recognition technology and / or determining the components list of the electric energy meter based on information provided by the manufacturer of the electric energy meter;

[0014] The components include a metering chip, a battery, an electrolytic capacitor, a varistor, a liquid crystal display, a resistor, a photocoupler, a crystal resonator, a transient diode, a load switch, an RS-485 chip, a clock chip, a microcontroller and / or a current transformer;

[0015] The component list also includes the manufacturer, category and model of the electricity meter, as well as the name, manufacturer and specifications of the components.

[0016] Preferably, the process of performing accelerated aging tests on components of the same type but different models to obtain the initial lifespan of the components of the type comprises:

[0017] Determining normal operating conditions for each type of component, wherein the operating conditions include operating temperature, operating humidity, and operating voltage;

[0018] Determining a set of operating conditions for each type of component based on the normal operating conditions;

[0019] For components of the same type, a preset number of components of different models are selected to conduct aging tests under various working conditions to obtain the life of the components of the type;

[0020] Based on the lifespan, pre-assembly test time, and pre-operation whole-machine test time of each type of component, the initial lifespan of the component of that type is determined.

[0021] Preferably, the process of obtaining the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter includes:

[0022] Get the cumulative number of failures n of each type of component x and the total number of N in operation x ;

[0023] Based on the cumulative number of failures n of each type of component x and the total number of N in operation x , the failure rate D of the components of the type mentioned is calculated using the following equation: x :

[0024] D x =n x / N x

[0025] The influence factor f of each type of component on the life of the electric energy meter is calculated using the following equation:

[0026] f=λf (Mm)W

[0027] Where M is the design operating life of the faulty energy meter, m is the actual operating life of the faulty energy meter, W is the fault degree of the faulty energy meter, and λ f is the preset adjustment factor.

[0028] Preferably, the process of calculating the fault degree of the faulty electric energy meter includes:

[0029] The fault degree W of the faulty electric energy meter is calculated using the following equation:

[0030] W=W1W2 / W3

[0031] Among them, W1 is the cumulative value of the unqualified weights of the returned electricity meters in the preset full performance test, W2 is the ratio of the number of damaged electricity meters in the preset component damage test to the total number of electricity meters, and W3 is the repairability of the returned electricity meters.

[0032] Preferably, the process of adjusting the initial life of each type of component by using the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter to obtain the predicted life of the component of the type includes:

[0033] The predicted life t' of the components of the type mentioned is calculated using the following equation: x :

[0034] t′ x =λt x (1-D x ) / f

[0035] Among them, λ is the preset adjustment factor, t x is the initial life of the component of the type mentioned, D x is the failure rate of the components of the type mentioned, and f is the impact factor of each type of components on the life of the electricity meter.

[0036] Preferably, the process of determining the initial life of the electric energy meter based on the predicted life of each type of components includes:

[0037] The minimum value among the predicted lifespans of various types of components is determined as the initial lifespan of the electric energy meter.

[0038] A second aspect of the present application provides a device for predicting the initial life of an electric energy meter, comprising:

[0039] A component list unit, used to obtain a component list of the electric energy meter, wherein the component list includes each component of the electric energy meter and the type and model of each component;

[0040] Component initial life unit, used to obtain the initial life of components of the same type but different models by conducting accelerated aging tests;

[0041] Failure rate and impact factor unit, used to obtain the failure rate of various types of components and the impact factors of various types of components on the life of the electricity meter;

[0042] A component life correction unit, configured to adjust the initial life of each type of component using the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter, to obtain a predicted life of the component of the type;

[0043] The electric energy meter initial life unit is used to determine the initial life of the electric energy meter based on the predicted life of various types of components.

[0044] A third aspect of the present application provides an electric energy meter initial life prediction device, comprising: a memory and a processor;

[0045] The memory is used to store programs;

[0046] The processor is used to execute the program to implement the various steps of the above-mentioned method for predicting the initial life of the electric energy meter.

[0047] In a fourth aspect, the present application provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method for predicting the initial life of an electric energy meter are implemented.

[0048] Through the above technical solution, it can be seen that the present application first obtains the component list of the electric energy meter, wherein the component list includes the various components of the electric energy meter and the type and model of each component. Then, for each type, the initial life of each type of component is obtained by performing accelerated aging tests on components of different models. Then, the failure rate of each type of component is obtained, and the influence factor of each type of component on the life of the electric energy meter is obtained. Among them, the failure rate of each type of component characterizes the probability of failure of the component of the type, and the influence factor of each type of component on the life of the electric energy meter characterizes the degree of influence of each type of component on the life of the electric energy meter. Using the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter, the initial life of the component of the type is adjusted to obtain the predicted life of the component of the type. Finally, based on the predicted life of each type of component, the initial life of the electric energy meter is determined. The present invention predicts and analyzes the initial life of the electricity meter from two dimensions: the test data of components and the actual operation data. It is no longer limited to the initial life provided by the manufacturer of the electricity meter during the design stage. This is conducive to improving the accuracy of predicting the initial life of the electricity meter, and thus is conducive to improving the accuracy of predicting the remaining life of the electricity meter. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without any creative work.

[0050] Figure 1 A schematic diagram of a method for predicting the initial life of an electric energy meter disclosed in an embodiment of the present application;

[0051] Figure 2 A schematic diagram of an electric energy meter initial life prediction device disclosed in an embodiment of the present application;

[0052] Figure 3 This is a schematic diagram of the initial life prediction device for an electric energy meter disclosed in an embodiment of the present application. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0054] The inventors of the present application have discovered that the test results of accelerated aging of the entire electric energy meter can only be used to evaluate electric energy meters of the same batch or model. When components are replaced, the test must be repeated. As a result, the accelerated aging test takes a long time, and the test sample cannot be used again after being damaged. Repeated tests will undoubtedly cause a double waste of time and money. In addition, the practice of using the data of returned electric energy meters to estimate the life of electric energy meters in operation is not very real-time. At the same time, due to the short time and small number of new electric energy meters put into operation, there is not enough returned data for reference. Furthermore, the approach of directly using the average life in the design stage as the initial life value of the electric energy meter does not take into account the deviation in the initial life values of different electric energy meters, resulting in inaccurate real life data of the electric energy meters used for model training, and the accuracy of electric energy meter life prediction is not high.

[0055] Based on this, this application proposes a method for predicting the initial life of an electricity meter, which improves the accuracy of the initial life prediction of the electricity meter from three perspectives: component identification, component aging database, and disassembled component failure database; and uses a method for distinguishing factors affecting the life of the electricity meter to determine the influence coefficients of different components on the factors affecting the life of the electricity meter, so as to accurately predict the initial life of the electricity meter.

[0056] The following describes the method for predicting the initial life of an electric energy meter provided by an embodiment of the present application. Figure 1 The method for predicting the initial life of an electric energy meter provided in an embodiment of the present application may include the following steps:

[0057] Step S101: Obtain a component list of the electric energy meter.

[0058] The component list may include various components of the electric energy meter, as well as the type and model of each component. The component list may form an electric energy meter component library for subsequent search, reading and writing.

[0059] Step S102 , performing accelerated aging tests on components of the same type but different models to obtain the initial lifespan of the components of the same type.

[0060] It is understandable that after performing the above-mentioned accelerated aging test on all types of components, the initial lifespan of all types of components can be obtained.

[0061] Step S103 , obtaining the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter.

[0062] For example, faulty electricity meters can be screened out from the dismantled electricity meters, and the faulty components that cause the electricity meter failure can be screened out from these faulty electricity meters. Further, the failure rate of each type of component and the influence factor of each type of component on the life of the electricity meter can be obtained through statistics.

[0063] Step S104 , using the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter, the initial life of the component of that type is adjusted to obtain the predicted life of the component of that type.

[0064] Step S105 : determining the initial life of the electric energy meter based on the predicted life of each type of components.

[0065] The present application first obtains a component list of the electric energy meter, wherein the component list includes the various components of the electric energy meter and the type and model of each component. Then, for each type, the initial life of each type of component is obtained by performing accelerated aging tests on components of different models. Then, the failure rate of each type of component is obtained, as well as the influence factor of each type of component on the life of the electric energy meter. Among them, the failure rate of each type of component characterizes the probability of failure of the component of the type, and the influence factor of each type of component on the life of the electric energy meter characterizes the degree of influence of each type of component on the life of the electric energy meter. By using the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter, the initial life of the component of the type is adjusted to obtain the predicted life of the component of the type. Finally, based on the predicted life of each type of component, the initial life of the electric energy meter is determined. The present invention predicts and analyzes the initial life of the electricity meter from two dimensions: the test data of components and the actual operation data. It is no longer limited to the initial life provided by the manufacturer of the electricity meter during the design stage. This is conducive to improving the accuracy of predicting the initial life of the electricity meter, and thus is conducive to improving the accuracy of predicting the remaining life of the electricity meter.

[0066] In some embodiments of the present application, the process of obtaining the component list of the electric energy meter in step S101 may include:

[0067] The bill of components of the electric energy meter is determined using visual recognition technology, or the bill of components of the electric energy meter is determined based on information provided by a manufacturer of the electric energy meter.

[0068] Among them, these components may include at least one of a metering chip, a battery, an electrolytic capacitor, a varistor, a liquid crystal display, a resistor, a photocoupler, a crystal resonator, a transient diode, a load switch, an RS-485 chip, a clock chip, a microcontroller and a current transformer.

[0069] In addition to the type and model of the component, the component list may also include the manufacturer, category and model of the electricity meter, as well as the name, manufacturer and specifications of the component.

[0070] It is understandable that a component list must be provided when each batch of electricity meters is put into storage, compared with the component library, and the number of components of this model must be increased in the component library according to the number of electricity meters in the batch.

[0071] In some embodiments of the present application, the process of performing accelerated aging tests on components of the same type but different models in step S102 to obtain the initial lifespan of the components of the same type may include:

[0072] S1, determine the normal working conditions of each type of components.

[0073] The operating conditions include operating temperature, operating humidity, and operating voltage. The normal operating conditions refer to the rated operating values of the operating temperature, operating humidity, and operating voltage.

[0074] S2: Based on the normal working conditions, determine a set of working conditions for each type of component.

[0075] It should be noted that the working conditions are determined by the test stress scheme and the test stress level. The test stress scheme is a combination of different test stresses to simulate the actual operating environment; the test stress level is the degree of configuration of different test stresses. The higher the level, the worse the working conditions.

[0076] S3, for components of the same type, select a preset number of components of different models to perform aging tests under various working conditions to obtain the life of the components of this type.

[0077] It is understandable that by selecting a preset number of components of different models to perform aging tests under various working conditions and recording the time when they begin to fail, the life of the components of this type can be obtained.

[0078] S4, determining the initial life of each type of component based on the life of the component, the pre-assembly test time, and the pre-operation whole machine test time of the component.

[0079] Specifically, each component is tested before assembly. The difference between the component lifespan obtained in S3 and the pre-assembly test time is the remaining component lifespan before assembly. After the components are assembled into an electric energy meter, the entire unit is tested before commissioning. The sum of the pre-assembly test time and the pre-commissioning test time is the test-depreciated lifespan. The difference between the component lifespan obtained in S3 and the test-depreciated lifespan is the remaining component lifespan before commissioning. The larger of the remaining component lifespan before assembly and the remaining component lifespan before commissioning can be taken as the initial component lifespan.

[0080] In some embodiments of the present application, the process of obtaining the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter in step S103 may include:

[0081] S1, obtain the cumulative number of failures n of each type of component x and the total number of N in operation x .

[0082] For example, a pre-set returned electricity meter sorting system can be used to screen out faulty electricity meters, where faulty electricity meters are identified. The faulty electricity meters are then disassembled to identify the components that caused the fault. Finally, the cumulative number of faults and the total number of in-service components of each type are statistically analyzed.

[0083] S2, based on the cumulative number of failures n of each type of component x and the total number of N in operation x , use the following equation to calculate the failure rate D of this type of component x :

[0084] D x =n x / N x

[0085] S3, use the following equation to calculate the influence factor f of each type of component on the life of the electricity meter:

[0086] f=λ f (Mm)W

[0087] Where M is the design operating life of the faulty energy meter, m is the actual operating life of the faulty energy meter, W is the fault degree of the faulty energy meter, and λ f is the preset adjustment factor.

[0088] Since the impact of components on the life of the electricity meter is a comprehensive reflection of various influencing factors, when multiple components fail at the same time, the single failure mechanism of each component has a complex interaction relationship. Therefore, it is more practical to comprehensively consider the combined impact of all faulty components on the life of the electricity meter.

[0089] In some embodiments of the present application, the calculation process of the fault degree of the faulty electric energy meter mentioned in S3 above may include:

[0090] The fault degree W of the faulty energy meter is calculated using the following equation:

[0091] W=W1W2 / W3

[0092] Among them, W1 is the cumulative value of the unqualified weights of the returned electricity meters in the preset full performance test, W2 is the ratio of the number of damaged electricity meters in the preset component damage test to the total number of electricity meters, and W3 is the repairability of the returned electricity meters.

[0093] It can be seen that the larger the unqualified weight value W1 is, or the larger the proportion of damaged components W2 is, or the lower the repairability W3 of damaged components is, the higher the degree of failure of the electricity meter is.

[0094] For the cumulative value W1 of the unqualified weight of the dismantled electric energy meter in the full performance test, the defect level of the full performance test items of the electric energy meter is divided into three categories: A, B, and C. The unqualified weight of category A is λ A , the unqualified weight of Class B is λ B , the unqualified weight of type C is λ C , then W1 is equal to the cumulative value of the three types of unqualified weights. Among them, the inspection items corresponding to the three types of unqualified A, B, and C are determined by the local power grids according to relevant requirements. For example, the power grids of the five southern provinces and one city (Guangdong Province, Guangxi Zhuang Autonomous Region, Yunnan Province, Guizhou Province, Hainan Province, and Shenzhen City) can refer to the China Southern Power Grid Company's electric energy meter series technical standards, including: Single-phase smart electric energy meter technical specifications (general part), three-phase smart electric energy meter technical specifications (general part), three-phase multi-function electric energy meter (B level, C level) technical specifications (general part), Class D three-phase multi-function electric energy meter technical specifications (general part), etc., and set the Class A unqualified weight to 1.0, the Class B unqualified weight to 0.6, and the Class C unqualified weight to 0.2. Then, the calculation formula for W1 is as follows:

[0095] W1=λ A n A +λ B n B +λ C n C

[0096] Where n A 、n B 、n C The number of full performance test items that failed in Class A, Class B, and Class C respectively.

[0097] The calculation formula for the ratio W2 of the number of damaged components to the total number of components in the component damage test of the dismantled electric energy meter is as follows:

[0098] W2=n false / n all

[0099] Where n false 、n all They are the number of damaged components and the total number of components in the component damage test of the disassembled electricity meter.

[0100] The degree of repairability W3 of damaged components of the disassembled electric energy meter is determined by the repair time and the impact on surrounding components. The calculation formula is as follows:

[0101] W3=λ3n affect / t repair

[0102] Where n affect , t repair are the number of affected components and the repair time respectively; λ3 is used to eliminate the dimensional influence of the number of affected components and the repair time, which can be taken as max(t repair ) / n all , where max(t repair ) can be set to 30 days.

[0103] In some embodiments of the present application, the process of adjusting the initial life of each type of component using the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter to obtain the predicted life of the component of that type in step S104 may include:

[0104] The predicted life t' of this type of component is calculated using the following equation: x :

[0105] t′ x =λt x )1-D x ) / f

[0106] Among them, λ is the preset adjustment factor used to adjust t′ x Adjusted to t x The same order of magnitude; t x is the initial life of the component of this type, D x is the failure rate of components of this type, and f is the impact factor of each type of components on the life of the electricity meter.

[0107] In some embodiments of the present application, the process of determining the initial life of the electric energy meter based on the predicted life of each type of components in step S105 may include:

[0108] The minimum value among the predicted lifespans of various types of components is determined as the initial lifespan of the electric energy meter.

[0109] That is, the initial life T of the energy meter is determined using the following equation:

[0110]

[0111] Among them, t′1, t′2,… The predicted lifespan of various types of components.

[0112] This application combines the stress test data and actual operation data of components to perform initial life prediction analysis of electric energy meters. It is no longer limited to the manufacturer or model of the electric energy meter, but goes back to the source of the component supply chain to make the prediction more accurate. Secondly, this application can make greater use of the fault data of disassembled electric energy meters, solving the problem of lack of disassembled or fault data for new models of electric energy meters. Therefore, this application can accurately assess the initial life of the electric energy meter, thereby improving the accuracy of the remaining life prediction of the electric energy meter.

[0113] The following describes the initial life prediction device for an electric energy meter provided in an embodiment of the present application. The initial life prediction device for an electric energy meter described below and the initial life prediction method for an electric energy meter described above can be referenced to each other.

[0114] See Figure 2 The electric energy meter initial life prediction device provided in the embodiment of the present application may include:

[0115] A component list unit 21 is used to obtain a component list of the electric energy meter, wherein the component list includes each component of the electric energy meter and the type and model of each component;

[0116] The component initial life unit 22 is used to obtain the initial life of components of the same type but different models by performing accelerated aging tests on the components;

[0117] The failure rate and impact factor unit 23 is used to obtain the failure rate of each type of component and the impact factor of each type of component on the life of the electric energy meter;

[0118] The component life correction unit 24 is configured to adjust the initial life of each type of component by using the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter to obtain the predicted life of the component of the type;

[0119] The electric energy meter initial life unit 25 is used to determine the initial life of the electric energy meter based on the predicted life of various types of components.

[0120] In some embodiments of the present application, the process of the component list unit 21 obtaining the component list of the electric energy meter may include:

[0121] Determining the components list of the electric energy meter using visual recognition technology and / or determining the components list of the electric energy meter based on information provided by the manufacturer of the electric energy meter;

[0122] The components include a metering chip, a battery, an electrolytic capacitor, a varistor, a liquid crystal display, a resistor, a photocoupler, a crystal resonator, a transient diode, a load switch, an RS-485 chip, a clock chip, a microcontroller and / or a current transformer;

[0123] The component list also includes the manufacturer, category and model of the electricity meter, as well as the name, manufacturer and specifications of the components.

[0124] In some embodiments of the present application, the component initial life unit 22 performs accelerated aging tests on components of the same type but different models to obtain the initial life of the components of the type, which may include:

[0125] Determining normal operating conditions for each type of component, wherein the operating conditions include operating temperature, operating humidity, and operating voltage;

[0126] Determining a set of operating conditions for each type of component based on the normal operating conditions;

[0127] For components of the same type, a preset number of components of different models are selected to conduct aging tests under various working conditions to obtain the life of the components of the type;

[0128] Based on the lifespan, pre-assembly test time, and pre-operation whole-machine test time of each type of component, the initial lifespan of the component of that type is determined.

[0129] In some embodiments of the present application, the process of the failure rate and impact factor unit 23 obtaining the failure rate of each type of component and the impact factor of each type of component on the life of the electric energy meter may include:

[0130] Get the cumulative number of failures n of each type of component x and the total number of N in operation x ;

[0131] Based on the cumulative number of failures n of each type of component x and the total number of N in operation x , the failure rate D of the components of the type mentioned is calculated using the following equation: x :

[0132] D x =n x / N x

[0133] The influence factor f of each type of component on the life of the electric energy meter is calculated using the following equation:

[0134] f=λ f (Mm)W

[0135] Where M is the design operating life of the faulty energy meter, m is the actual operating life of the faulty energy meter, W is the fault degree of the faulty energy meter, and λ f is the preset adjustment factor.

[0136] In some embodiments of the present application, the calculation process of the fault degree of the faulty electric energy meter described in the failure rate and impact factor unit 23 may include:

[0137] The fault degree W of the faulty electric energy meter is calculated using the following equation:

[0138] W=W1W2 / W3

[0139] Among them, W1 is the cumulative value of the unqualified weights of the returned electricity meters in the preset full performance test, W2 is the ratio of the number of damaged electricity meters in the preset component damage test to the total number of electricity meters, and W3 is the repairability of the returned electricity meters.

[0140] In some embodiments of the present application, the component life correction unit 24 adjusts the initial life of each type of component using the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter to obtain the predicted life of the component of the type, which may include:

[0141] The predicted life t' of the components of the type mentioned is calculated using the following equation: x :

[0142] t′ x =λt x (1-D x ) / f

[0143] Among them, λ is the preset adjustment factor, t x is the initial life of the component of the type mentioned, D x is the failure rate of the components of the type mentioned, and f is the impact factor of each type of components on the life of the electricity meter.

[0144] In some embodiments of the present application, the process of the electric energy meter initial life unit 25 determining the initial life of the electric energy meter based on the predicted life of each type of components may include:

[0145] The minimum value among the predicted lifespans of various types of components is determined as the initial lifespan of the electric energy meter.

[0146] The electric energy meter initial life prediction device provided in the embodiment of the present application can be applied to an electric energy meter initial life prediction device, such as a computer. Optionally, Figure 3 The hardware structure diagram of the initial life prediction device of the electric energy meter is shown. Figure 3 The hardware structure of the electric energy meter initial life prediction device may include: at least one processor 31 , at least one communication interface 32 , at least one memory 33 and at least one communication bus 34 .

[0147] In the embodiment of the present application, the number of the processor 31, the communication interface 32, the memory 33, and the communication bus 34 is at least one, and the processor 31, the communication interface 32, and the memory 33 communicate with each other through the communication bus 34;

[0148] The processor 31 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application;

[0149] The memory 33 may include a high-speed RAM memory, and may also include a non-volatile memory, such as at least one disk memory;

[0150] The memory 33 stores a program, and the processor 31 can call the program stored in the memory 33, wherein the program is used to:

[0151] Obtaining a component list of the electric energy meter, the component list including each component of the electric energy meter and the type and model of each component;

[0152] By conducting accelerated aging tests on components of the same type but different models, the initial life of the components of the type is obtained;

[0153] Obtain the failure rate of various types of components and the factors affecting the life of the electric energy meter;

[0154] Using the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter, the initial life of the component of the type is adjusted to obtain the predicted life of the component of the type;

[0155] Determine the initial life of the energy meter based on the predicted life of each type of component.

[0156] Optionally, the detailed functions and extended functions of the program may refer to the above description.

[0157] An embodiment of the present application further provides a storage medium, which may store a program suitable for execution by a processor, wherein the program is used to:

[0158] Obtaining a component list of the electric energy meter, the component list including each component of the electric energy meter and the type and model of each component;

[0159] By conducting accelerated aging tests on components of the same type but different models, the initial life of the components of the type is obtained;

[0160] Obtain the failure rate of various types of components and the factors affecting the life of the electric energy meter;

[0161] Using the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter, the initial life of the component of the type is adjusted to obtain the predicted life of the component of the type;

[0162] Determine the initial life of the energy meter based on the predicted life of each type of component.

[0163] Optionally, the detailed functions and extended functions of the program may refer to the above description.

[0164] In summary:

[0165] The present application first obtains a component list of the electric energy meter, wherein the component list includes the various components of the electric energy meter and the type and model of each component. Then, for each type, the initial life of each type of component is obtained by performing accelerated aging tests on components of different models. Then, the failure rate of each type of component is obtained, as well as the influence factor of each type of component on the life of the electric energy meter. Among them, the failure rate of each type of component characterizes the probability of failure of the component of the type, and the influence factor of each type of component on the life of the electric energy meter characterizes the degree of influence of each type of component on the life of the electric energy meter. By using the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter, the initial life of the component of the type is adjusted to obtain the predicted life of the component of the type. Finally, based on the predicted life of each type of component, the initial life of the electric energy meter is determined. The present invention predicts and analyzes the initial life of the electricity meter from two dimensions: the test data of components and the actual operation data. It is no longer limited to the initial life provided by the manufacturer of the electricity meter during the design stage. This is conducive to improving the accuracy of predicting the initial life of the electricity meter, and thus is conducive to improving the accuracy of predicting the remaining life of the electricity meter.

[0166] Finally, it should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or device comprising the element.

[0167] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referenced to each other.

[0168] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for predicting the initial life of an electric energy meter, characterized in that: include: Obtaining a component list of the electric energy meter, the component list including each component of the electric energy meter and the type and model of each component; By conducting accelerated aging tests on components of the same type but different models, the initial life of the components of the type is obtained; Obtain the failure rate of various types of components and the factors affecting the life of the electric energy meter; Using the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter, the initial life of the component of the type is adjusted to obtain the predicted life of the component of the type; Determine the initial life of the energy meter based on the predicted life of each type of components; The process of obtaining the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter includes: Get the cumulative number of failures n of each type of component x and the total number of N in operation x ; Based on the cumulative number of failures n of each type of component x and the total number of N in operation x , the failure rate D of the components of the type mentioned is calculated using the following equation: x : D x =n x / N x The influence factor f of each type of component on the life of the electric energy meter is calculated using the following equation: f=λ f (M-m)W Where M is the design operating life of the faulty energy meter, m is the actual operating life of the faulty energy meter, W is the fault degree of the faulty energy meter, and λ f is the preset adjustment coefficient; The calculation process of the fault degree of the faulty electric energy meter includes: The fault degree W of the faulty electric energy meter is calculated using the following equation: W=W1W2 / W3 W3=λ3n affect / t repair Wherein, W1 is the cumulative value of the unqualified weights of the disassembled electric energy meters in the preset full performance test, W2 is the ratio of the number of disassembled electric energy meters damaged in the preset component damage test to the total number of electric energy meters, and W3 is the repairability of the disassembled electric energy meters; n affect is the number of affected components, t repair is the repair time of the affected components, and λ3 is used to eliminate the dimensional effects of the number of affected components and the repair time; The process of adjusting the initial life of each type of component by using the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter to obtain the predicted life of the component of the type includes: The predicted lifespan t' of the components of the type described is calculated using the following equation: x : t′ x =λt x (1-D x ) / f Among them, λ is the preset adjustment factor, t x is the initial life of the component of the type mentioned, D x is the failure rate of the components of the type mentioned, and f is the impact factor of each type of components on the life of the electricity meter.

2. The method according to claim 1, characterized in that The process of obtaining the components list of the electricity meter includes: Determining the components list of the electric energy meter using visual recognition technology and / or determining the components list of the electric energy meter based on information provided by the manufacturer of the electric energy meter; The components include a metering chip, a battery, an electrolytic capacitor, a varistor, a liquid crystal display, a resistor, a photocoupler, a crystal resonator, a transient diode, a load switch, an RS-485 chip, a clock chip, a microcontroller and / or a current transformer; The component list also includes the manufacturer, category and model of the electricity meter, as well as the name, manufacturer and specifications of the components.

3. The method according to claim 1, characterized in that The process of conducting accelerated aging tests on components of the same type but different models to obtain the initial life of the components of the type includes: Determining normal operating conditions for each type of component, wherein the operating conditions include operating temperature, operating humidity, and operating voltage; Determining a set of operating conditions for each type of component based on the normal operating conditions; For components of the same type, a preset number of components of different models are selected to conduct aging tests under various working conditions to obtain the life of the components of the type; Based on the lifespan, pre-assembly test time, and pre-operation whole-machine test time of each type of component, the initial lifespan of the component of that type is determined.

4. The method according to claim 1, wherein The process of determining the initial life of an energy meter based on the predicted life of each type of component includes: The minimum value among the predicted lifespans of various types of components is determined as the initial lifespan of the electric energy meter.

5. A device for predicting the initial life of an electric energy meter, characterized in that: include: A component list unit, used to obtain a component list of the electric energy meter, wherein the component list includes each component of the electric energy meter and the type and model of each component; Component initial life unit, used to obtain the initial life of components of the same type but different models by conducting accelerated aging tests; Failure rate and impact factor unit, used to obtain the failure rate of various types of components and the impact factors of various types of components on the life of the electricity meter; A component life correction unit, configured to adjust the initial life of each type of component using the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter, to obtain a predicted life of the component of the type; An electric energy meter initial life unit, used to determine the initial life of the electric energy meter based on the predicted life of various types of components; The process of obtaining the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter includes: Get the cumulative number of failures n of each type of component x and the total number of N in operation x ; Based on the cumulative number of failures n of each type of component x and the total number of N in operation x , the failure rate D of the components of the type mentioned is calculated using the following equation: x : D x =n x / N x The influence factor f of each type of component on the life of the electric energy meter is calculated using the following equation: f=λ f (M-m)W Where M is the design operating life of the faulty energy meter, m is the actual operating life of the faulty energy meter, W is the fault degree of the faulty energy meter, and λ f is the preset adjustment coefficient; The calculation process of the fault degree of the faulty electric energy meter includes: The fault degree W of the faulty electric energy meter is calculated using the following equation: W=W1W2 / W3 W3=λ3n affect / t repair Wherein, W1 is the cumulative value of the unqualified weights of the disassembled electric energy meters in the preset full performance test, W2 is the ratio of the number of disassembled electric energy meters damaged in the preset component damage test to the total number of electric energy meters, and W3 is the repairability of the disassembled electric energy meters; n affect is the number of affected components, t repair is the repair time of the affected components, and λ3 is used to eliminate the dimensional effects of the number of affected components and the repair time; The process of adjusting the initial life of each type of component by using the failure rate of each type of component and the influence factor of each type of component on the life of the electric energy meter to obtain the predicted life of the component of the type includes: The predicted lifespan t' of the components of the type described is calculated using the following equation: x : t′ x =λt x (1-D x ) / f Among them, λ is the preset adjustment factor, t x is the initial life of the component of the type mentioned, D x is the failure rate of the components of the type mentioned, and f is the impact factor of each type of components on the life of the electricity meter.

6. An electric energy meter initial life prediction device, characterized in that: include: memory and processor; The memory is used to store programs; The processor is configured to execute the program to implement the various steps of the method for predicting the initial life of an electric energy meter according to any one of claims 1 to 4.

7. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, each step of the method for predicting the initial life of an electric energy meter according to any one of claims 1 to 4 is implemented.

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