CN113447875A - Method and system for evaluating residual life of disassembled intelligent electric energy meter - Google Patents
Method and system for evaluating residual life of disassembled intelligent electric energy meter Download PDFInfo
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Abstract
The invention relates to a method and a system for evaluating the residual life of a disassembled intelligent electric energy meter. Sorting the disassembled electric energy meters, carrying out accelerated life test on the disassembled electric energy meters after the sorting is qualified to obtain a plurality of groups of error data of the intelligent electric energy meters, and judging that the disassembled intelligent electric energy meters are invalid when the error data are greater than a set threshold; randomly selecting n sorted qualified disassembled intelligent electric energy meters to perform an accelerated life test, and recording failure numbers of the disassembled intelligent electric energy meters at each time interval; determining point estimation and interval estimation of the average service life of the disassembled intelligent electric energy meter under the stress action according to the failure number of the disassembled intelligent electric energy meter; obtaining an acceleration factor; and determining point estimation and interval estimation of the residual life of the disassembled intelligent electric energy meter according to the point estimation and interval estimation of the average life of the disassembled intelligent electric energy meter under the stress action and the acceleration factor. The invention can scientifically and accurately predict the residual service life of the disassembled intelligent electric energy meter and reduce electronic pollution.
Description
Technical Field
The invention relates to the field of intelligent electric energy meter service life prediction, in particular to a method and a system for evaluating the residual service life of a disassembled intelligent electric energy meter.
Background
With the rapid development of national economy, the verification quantity and the installation quantity of intelligent electric energy meters increase year by year, the number of electric energy meters replaced or dismantled every year also increases, and the electric energy meters are currently rotated for about 8 years. In order to meet the requirements of intensification of metering assets and the like of the national grid company Limited, the principle of full utilization of maintenance of the disassembled intelligent electric energy meter is implemented, the disassembled electric energy meter still having the value of the old and the useless value is selected for evaluation and then is recycled, the number of purchased intelligent electric energy meters can be greatly reduced, electronic waste is reduced, the optimal configuration of enterprise resources is realized, and the important reconstruction requirements of transformation of new and old kinetic energy, reconstruction of operator environment and the like are met. Therefore, how to scientifically and accurately predict the residual service life of the disassembled intelligent electric energy meter is a problem to be solved urgently.
Disclosure of Invention
The invention aims to provide a method and a system for evaluating the residual life of a disassembled intelligent electric energy meter, which can scientifically and accurately predict the residual life of the disassembled intelligent electric energy meter and reduce electronic pollution.
In order to achieve the purpose, the invention provides the following scheme:
the method for evaluating the residual life of the disassembled intelligent electric energy meter comprises the following steps:
sorting the disassembled electric energy meter, carrying out an accelerated life test on the disassembled electric energy meter after the sorting is qualified to obtain a plurality of groups of error data of the intelligent electric energy meter, and judging that the disassembled intelligent electric energy meter is invalid when the error data is greater than a set threshold;
randomly selecting n qualified disassembled intelligent electric energy meters for carrying out accelerated life test, recording failure numbers of the disassembled intelligent electric energy meters at each time interval, and judging failure conditions of the disassembled intelligent electric energy meters, including error data larger than a set threshold value, communication failure, liquid crystal display failure and shell deformation;
determining point estimation and interval estimation of the average service life of the disassembled intelligent electric energy meter under the stress action according to the failure number of the disassembled intelligent electric energy meter;
obtaining an acceleration factor;
and determining the point estimation and the interval estimation of the residual life of the disassembled intelligent electric energy meter according to the point estimation of the average life of the disassembled intelligent electric energy meter under the stress action, the interval estimation of the average life of the disassembled intelligent electric energy meter under the stress action and the acceleration factor.
Optionally, the determining, according to the failure number of the removed intelligent electric energy meter, a point estimation and an interval estimation of the average life of the removed intelligent electric energy meter under the action of stress specifically includes:
adopting a formula according to the failure number of the disassembled intelligent electric energy meter
Determining point estimation of the average service life of the disassembled intelligent electric energy meter under the stress action;
wherein the content of the first and second substances,
to pull back the point estimate of the average life theta of the intelligent electric energy meter under stress,
f is the failure number of the removed intelligent electric energy meter;
adopting a formula according to the failure number of the disassembled intelligent electric energy meter
Determining interval estimation of the average service life of the disassembled intelligent electric energy meter under the stress action;
wherein, thetaHIn order to dismantle the upper limit of the 1-alpha confidence interval of the average service life theta of the intelligent electric energy meter under the stress action, thetaLThe lower limit of the 1-alpha confidence interval of the average service life theta of the disassembled intelligent electric energy meter under the stress action is shown, and N is the total number of the disassembled intelligent electric energy meter.
Optionally, the acquiring the acceleration factor specifically includes:
using a formula
Determining an acceleration factor;
wherein E isaFor activation energy, k is Boltzmann constant, T is absolute temperature, TsFor temperature stress, TnFor normal use temperature, RH is the relative humidity, RHsPercent relative humidity under stress, RHnThe percentage relative humidity under normal use condition, n is constant and ranges from 1 to 12, and AF is an acceleration factor.
Optionally, the determining, according to the point estimation of the average life of the disassembled intelligent electric energy meter under the stress, the interval estimation of the average life of the disassembled intelligent electric energy meter under the stress, and the acceleration factor, the point estimation and the interval estimation of the remaining life of the disassembled intelligent electric energy meter specifically include:
adopting a formula according to the point estimation of the average service life of the disassembled intelligent electric energy meter under the stress action and the acceleration factor
Determining point estimation of the residual life of the disassembled intelligent electric energy meter;
wherein the content of the first and second substances,
for removing the point estimation of the remaining life of the intelligent electric energy meter, AF is an acceleration factor,
estimating the point of the average service life theta of the disassembled intelligent electric energy meter under the stress action;
adopting a formula according to the interval estimation of the average service life of the disassembled intelligent electric energy meter under the stress action and the acceleration factor
Determining the interval estimation of the residual life of the disassembled intelligent electric energy meter;
wherein, thetaHIn order to dismantle the upper limit of the 1-alpha confidence interval of the average service life theta of the intelligent electric energy meter under the stress action, thetaLIn order to remove the lower limit of the 1-alpha confidence interval of the average service life theta of the intelligent electric energy meter under the stress action,
to dismantle the remaining life of the intelligent electric energy meter
The upper limit of the 1-alpha confidence interval of (c),
to dismantle the remaining life of the intelligent electric energy meter
Lower limit of the 1-alpha confidence interval of (c).
A system for evaluating the residual life of a detachable intelligent electric energy meter comprises:
the sorting module is used for disassembling the electric energy meter for sorting;
the error data determining module is used for carrying out an accelerated life test on the sorted returned electric energy meter to obtain a plurality of groups of error data of the intelligent electric energy meter, and when the error data is greater than a set threshold value, judging that the returned intelligent electric energy meter is invalid;
the failure number determining module is used for randomly selecting n qualified disassembled intelligent electric energy meters for carrying out accelerated life test, recording the failure number of the disassembled intelligent electric energy meters at each time interval, and judging the failure conditions of the disassembled intelligent electric energy meters, including error data larger than a set threshold value, communication failure, liquid crystal display failure and shell deformation;
the point estimation and interval estimation determining module is used for determining the point estimation and interval estimation of the average service life of the disassembled intelligent electric energy meter under the stress action according to the failure number of the disassembled intelligent electric energy meter;
the acceleration factor acquisition module is used for acquiring an acceleration factor;
and the point estimation and interval estimation determining module is used for determining the point estimation and interval estimation of the residual life of the disassembled intelligent electric energy meter according to the point estimation of the average life of the disassembled intelligent electric energy meter under the stress action, the interval estimation of the average life of the disassembled intelligent electric energy meter under the stress action and the acceleration factor.
Optionally, the module for estimating a point and an interval of the average life of the disassembled intelligent electric energy meter under the stress action specifically includes:
the point estimation determining unit is used for estimating and determining the average service life of the disassembled intelligent electric energy meter under the action of stress and adopting a formula according to the failure number of the disassembled intelligent electric energy meter
Determining point estimation of the average service life of the disassembled intelligent electric energy meter under the stress action;
wherein the content of the first and second substances,
to pull back the point estimate of the average life theta of the intelligent electric energy meter under stress,
f is the failure number of the removed intelligent electric energy meter;
the interval estimation and determination unit is used for estimating and determining the average service life of the disassembled intelligent electric energy meter under the action of stress and adopting a formula according to the failure number of the disassembled intelligent electric energy meter
Determining interval estimation of the average service life of the disassembled intelligent electric energy meter under the stress action;
wherein, thetaHIn order to dismantle the upper limit of the 1-alpha confidence interval of the average service life theta of the intelligent electric energy meter under the stress action, thetaLThe lower limit of the 1-alpha confidence interval of the average service life theta of the disassembled intelligent electric energy meter under the stress action is shown, and N is the total number of the disassembled intelligent electric energy meter.
Optionally, the acceleration factor obtaining module specifically includes:
an acceleration factor obtaining unit for adopting a formula
Determining an acceleration factor；
Wherein E isaFor activation energy, k is Boltzmann constant, T is absolute temperature, TsFor temperature stress, TnFor normal use temperature, RH is the relative humidity, RHsPercent relative humidity under stress, RHnThe percentage relative humidity under normal use condition, n is constant and ranges from 1 to 12, and AF is an acceleration factor.
Optionally, the module for determining a point estimation and an interval estimation of the remaining life of the detached intelligent electric energy meter specifically includes:
the point estimation determining unit for the residual life of the disassembled intelligent electric energy meter is used for adopting a formula according to the point estimation of the average life of the disassembled intelligent electric energy meter under the stress action and the acceleration factor
Determining point estimation of the residual life of the disassembled intelligent electric energy meter;
wherein the content of the first and second substances,
in order to retrieve the point estimation of the remaining life of the intelligent electric energy meter, AF is an acceleration factor,
estimating the point of the average service life theta of the disassembled intelligent electric energy meter under the stress action;
the interval estimation determining unit is used for estimating the average service life of the disassembled intelligent electric energy meter under the stress action according to the interval estimation of the average service life of the disassembled intelligent electric energy meter and the formula adopted by the acceleration factor
Determining the interval estimation of the residual life of the disassembled intelligent electric energy meter;
wherein, thetaHIn order to dismantle the upper limit of the 1-alpha confidence interval of the average service life theta of the intelligent electric energy meter under the stress action, thetaLFor removing 1-alpha confidence interval of mean life theta of intelligent electric energy meter under stressThe lower limit of the amount of the organic solvent,
to dismantle the remaining life of the intelligent electric energy meter
The upper limit of the 1-alpha confidence interval of (c),
in order to tear back the intelligent electric energy meter in the remaining life
Lower limit of the 1-alpha confidence interval of (c).
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention relates to a method and a system for evaluating the residual life of a disassembled intelligent electric energy meter. The method comprises the following steps: sorting the disassembled electric energy meter, carrying out an accelerated life test on the disassembled electric energy meter after the sorting is qualified to obtain a plurality of groups of error data of the intelligent electric energy meter, and judging that the disassembled intelligent electric energy meter is invalid when the error data is greater than a set threshold; randomly selecting n qualified disassembled intelligent electric energy meters for carrying out accelerated life test, recording failure numbers of the disassembled intelligent electric energy meters at each time interval, and judging failure conditions of the disassembled intelligent electric energy meters, including error data larger than a set threshold value, communication failure, liquid crystal display failure and shell deformation; determining point estimation and interval estimation of the average service life of the disassembled intelligent electric energy meter under the stress action according to the failure number of the disassembled intelligent electric energy meter; obtaining an acceleration factor; and determining the point estimation and the interval estimation of the residual life of the disassembled intelligent electric energy meter according to the point estimation of the average life of the disassembled intelligent electric energy meter under the stress action, the interval estimation of the average life of the disassembled intelligent electric energy meter under the stress action and the acceleration factor. The invention can scientifically and accurately predict the residual service life of the disassembled intelligent electric energy meter and reduce electronic pollution.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flowchart illustrating a method for evaluating remaining life of an intelligent electric energy meter according to the present invention;
fig. 2 is a structural diagram of the system for estimating the remaining life of the intelligent electric energy meter according to the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a method and a system for evaluating the residual life of a disassembled intelligent electric energy meter, which can scientifically and accurately predict the residual life of the disassembled intelligent electric energy meter and reduce electronic pollution.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
FIG. 1 is a flowchart of the remaining life evaluation method of the disassembled intelligent electric energy meter according to the present invention. As shown in fig. 1, a method for evaluating remaining life of a detached intelligent electric energy meter includes:
step 101: and (4) sorting the disassembled electric energy meter, carrying out accelerated life test on the disassembled electric energy meter after the sorting is qualified to obtain multiple groups of error data of the intelligent electric energy meter, and judging that the disassembled intelligent electric energy meter is invalid when the error data is greater than a set threshold value.
The method for sorting the disassembled intelligent electric energy meters comprises three business links of sorting, sorting detection and sorting disposal analysis of the disassembled intelligent electric energy meters.
Sorting the intelligent electric energy meters: the intelligent electric energy meter sorting means that before sorting detection, the disassembled electric energy meter which has no detection condition is screened out, and preparation work before sorting detection such as cleaning of equipment and screw supplement is completed according to detection requirements on the disassembled electric energy meter which has the detection condition.
Sorting and detecting: the sorting detection means that the electric energy meter sorting device is used for carrying out standardized detection tests on the disassembled electric energy meters with the electrification detection conditions.
Sorting, disposing and analyzing: the sorting disposal analysis refers to comprehensively considering sorting detection results of the disassembled electric energy meters, verification conditions after the disassembly, scrapping disposal requirements, disposal modes negotiated with suppliers and the like, and analyzing and confirming the disposal modes after the disassembly of the electric energy meters.
The electric energy meter is disassembled and returned, the electric energy meter is qualified in sorting, clean and complete in appearance and free of risks such as battery voltage loss and clock out-of-tolerance, the electric energy meter is in a state to be checked after sorting, and accelerated life prediction is carried out after the electric energy meter is qualified through verification before assembly and use.
After the electric energy meter is sorted to be qualified, the electric energy meter is disassembled to be tested for the accelerated life, and the specific scheme is as follows:
all functions of a test sample are detected before the test, the intelligent electric energy meter meeting the accelerated life test condition is sampled, the number of the samples is not less than 5%, the sampled intelligent electric energy meter is numbered, and the metering precision of the intelligent electric energy meter is monitored in real time in the test process and recorded.
The test environment temperature is 75 ℃, the humidity is 85%, and the voltage is U according to JJG596-2012 electronic alternating current electric energy meternCurrent is IbThe power factors are 1.0 and 0.5L, respectively. The power factor is 1.0, and the load current is Imax、0.5(Imax-Ib)、Ib、0.1Ib、0.05IbObtaining 5 groups of error data of the intelligent electric energy meter; the power factor is 0.5L, and the load currents are Imax、0.5(Imax-Ib)、Ib、0.1Ib、0.05IbAnd 5 groups of error data of the intelligent electric energy meter are obtained, and the failure modes mainly comprise metering out-of-tolerance, communication failure, liquid crystal display failure, shell deformation and the like. And comparing the obtained error data with a standard table, and judging that the error is invalid if the error data exceeds the standard table. Each timeThe table test was stopped when failure was found, recorded every 24 hours.
Step 102: and randomly selecting n qualified disassembled intelligent electric energy meters for sorting to perform an accelerated life test, recording failure numbers of the disassembled intelligent electric energy meters at each time interval, and judging failure conditions of the disassembled intelligent electric energy meters, wherein the failure conditions comprise that error data is larger than a set threshold value, communication failure, liquid crystal display failure and shell deformation. Table 1 is a test data table.
Randomly selecting n meters which meet the accelerated life test and are disassembled into the intelligent electric energy meter to carry out the accelerated life test, and assuming that:
(1) setting a disassembled intelligent ammeter participating in the accelerated life test as a new ammeter;
(2) setting the residual service life of the disassembled intelligent electric meter to be subjected to single-parameter exponential distribution;
(3) at time t1,t2,…,tkIs observed at time tkStopping the test;
(4) test time 0 ≡ t0＜t1＜t2＜…＜tk＜tk+1≡∞；
(5) The failure time of the disassembled intelligent electric energy meter falls into (t)i,ti+1) Is fi，i＝1,2,…,k；
(6) Is provided with
A failure time falls into (t)kInfinity).
TABLE 1 test data sheet
Wherein the content of the first and second substances,
F0when the failure number is 0, the failure number of the intelligent electric energy meter is recorded
Has fk+1＝n-f。
Because the residual life of the disassembled intelligent electric energy meter is subjected to exponential distribution, the distribution function is F (t) ═ 1-e-λt。
The test time interval (t) of the intelligent electric energy meter is removedi,ti+1) The failure probability in (c) is:
f is theniTest time interval (t) of table-disassembled intelligent electric energy meteri,ti+1) The failure probability in (c) is:
n-f table is disassembled to tkThe probability of time-to-failure is:
the likelihood function is
Wherein C is a constant.
Step 103: according to the failure number of the removed intelligent electric energy meter, determining point estimation and interval estimation of the average service life of the removed intelligent electric energy meter under the stress action, and specifically comprising the following steps:
step 1031: adopting a formula according to the failure number of the disassembled intelligent electric energy meter
Determining point estimation of the average service life of the disassembled intelligent electric energy meter under the stress action;
wherein the content of the first and second substances,
to pull back the point estimate of the average life theta of the intelligent electric energy meter under stress,
f is the failure number of the removed intelligent electric energy meter;
step 1032: adopting a formula according to the failure number of the disassembled intelligent electric energy meter
Determining interval estimation of the average service life of the disassembled intelligent electric energy meter under the stress action;
wherein, thetaHIn order to dismantle the upper limit of the 1-alpha confidence interval of the average service life theta of the intelligent electric energy meter under the stress action, thetaLThe lower limit of the 1-alpha confidence interval of the average service life theta of the disassembled intelligent electric energy meter under the stress action is shown, and N is the total number of the disassembled intelligent electric energy meter.
The specific process of step 103 is as follows:
taking logarithm and derivation of the formula (4), the likelihood equation is
The test is recorded every 24 hours at equal intervals, i.e. ti+1-ti＝24h，t0＝0，t1＝1×24，……，tk＝k×24。
Formula (5) can be rewritten as:
simplified to obtain
Is the point estimation of failure rate of the disassembled intelligent electric energy meter under the stress action)
The point of the average service life theta of the disassembled intelligent electric energy meter under the stress action is estimated as
The 1-alpha confidence interval of the average service life theta of the disassembled intelligent electric energy meter under the stress action is
In the formula (I), the compound is shown in the specification,
and obtaining the service life confidence interval of the intelligent electric energy meter when the environmental temperature is 75 ℃ and the humidity is 85 percent.
Step 104: acquiring an acceleration factor, specifically comprising:
using a formula
Determining an acceleration factor;
wherein E isaFor activation energy, k is Boltzmann constant, T is absolute temperature, TsFor temperature stress, TnFor normal use temperature, RH is the relative humidity, RHsPercent relative humidity under stress, RHnN is a constant, ranging from 1 to 12, typically 3, for percent relative humidity under normal use conditions. AF is an acceleration factor. According to the formula (10), under a high temperature/high humidity environment (the temperature is 75 ℃ and the humidity is 85%), the accelerated aging time is 1 hour, which is equivalent to the service life of the intelligent electric energy meter at room temperature being 37.118 hours.
Step 105: determining point estimation and interval estimation of the residual life of the disassembled intelligent electric energy meter under the stress action according to the point estimation of the average life of the disassembled intelligent electric energy meter under the stress action, the interval estimation of the average life of the disassembled intelligent electric energy meter under the stress action and the acceleration factor, and specifically comprising the following steps:
step 1051: adopting a formula according to the point estimation of the average service life of the disassembled intelligent electric energy meter under the stress action and the acceleration factor
Determining point estimation of the residual life of the disassembled intelligent electric energy meter;
wherein the content of the first and second substances,
in order to retrieve the point estimation of the remaining life of the intelligent electric energy meter, AF is an acceleration factor,
estimating the point of the average service life theta of the disassembled intelligent electric energy meter under the stress action;
step 1052: adopting a formula according to the interval estimation of the average service life of the disassembled intelligent electric energy meter under the stress action and the acceleration factor
Determining the interval estimation of the residual life of the disassembled intelligent electric energy meter;
wherein, thetaHIn order to dismantle the upper limit of the 1-alpha confidence interval of the average service life theta of the intelligent electric energy meter under the stress action, thetaLIn order to remove the lower limit of the 1-alpha confidence interval of the average service life theta of the intelligent electric energy meter under the stress action,
to dismantle the remaining life of the intelligent electric energy meter
The upper limit of the 1-alpha confidence interval of (c),
to dismantle the remaining life of the intelligent electric energy meter
Lower limit of the 1-alpha confidence interval of (c).
Fig. 2 is a structural diagram of the system for estimating the remaining life of the intelligent electric energy meter according to the invention. As shown in fig. 2, a system for estimating remaining life of a detachable intelligent electric energy meter includes:
the sorting module 201 is used for disassembling the electric energy meter for sorting;
the error data determining module 202 is used for performing an accelerated life test on the sorted returned intelligent electric energy meter to obtain a plurality of groups of error data of the intelligent electric energy meter, and when the error data is greater than a set threshold value, judging that the returned intelligent electric energy meter is invalid;
the failure number determining module 203 is used for randomly selecting n qualified disassembled intelligent electric energy meters for carrying out accelerated life test, recording failure numbers of the disassembled intelligent electric energy meters at each time interval, and judging failure conditions of the disassembled intelligent electric energy meters, including error data larger than a set threshold value, communication failure, liquid crystal display failure and shell deformation;
the point estimation and interval estimation determining module 204 is used for determining the point estimation and interval estimation of the average service life of the disassembled intelligent electric energy meter under the stress action according to the failure number of the disassembled intelligent electric energy meter;
an acceleration factor obtaining module 205, configured to obtain an acceleration factor;
and the point estimation and interval estimation determining module 206 for the residual life of the disassembled intelligent electric energy meter is used for determining the point estimation and interval estimation of the residual life of the disassembled intelligent electric energy meter according to the point estimation of the average life of the disassembled intelligent electric energy meter under the stress action, the interval estimation of the average life of the disassembled intelligent electric energy meter under the stress action and the acceleration factor.
The module 204 for determining point estimation and interval estimation of the average life of the disassembled intelligent electric energy meter under the stress action specifically comprises:
the point estimation determining unit is used for estimating and determining the average service life of the disassembled intelligent electric energy meter under the stress action according to the disassembled intelligent electric energy meterThe failure number of the meter adopts a formula
Determining point estimation of the average service life of the disassembled intelligent electric energy meter under the stress action;
wherein the content of the first and second substances,
to pull back the point estimate of the average life theta of the intelligent electric energy meter under stress,
f is the failure number of the removed intelligent electric energy meter;
the interval estimation and determination unit is used for estimating and determining the average service life of the disassembled intelligent electric energy meter under the action of stress and adopting a formula according to the failure number of the disassembled intelligent electric energy meter
Determining interval estimation of the average service life of the disassembled intelligent electric energy meter under the stress action;
wherein, thetaHIn order to dismantle the upper limit of the 1-alpha confidence interval of the average service life theta of the intelligent electric energy meter under the stress action, thetaLThe lower limit of the 1-alpha confidence interval of the average service life theta of the disassembled intelligent electric energy meter under the stress action is shown, and N is the total number of the disassembled intelligent electric energy meter.
The acceleration factor obtaining module 205 specifically includes:
an acceleration factor obtaining unit for adopting a formula
Determining an acceleration factor;
wherein E isaFor activation energy, k is Boltzmann constant, T is absolute temperature, TsFor temperature stress, TnFor normal use temperature, RH is the relative humidity, RHsPercent relative humidity under stress, RHnThe percentage relative humidity under normal use condition, n is constant and ranges from 1 to 12, and AF is an acceleration factor.
The module 206 for determining point estimation and interval estimation of the remaining life of the removed intelligent electric energy meter specifically comprises:
the point estimation determining unit for the residual life of the disassembled intelligent electric energy meter is used for adopting a formula according to the point estimation of the average life of the disassembled intelligent electric energy meter under the stress action and the acceleration factor
Determining point estimation of the residual life of the disassembled intelligent electric energy meter;
wherein the content of the first and second substances,
for removing the point estimation of the remaining life of the intelligent electric energy meter, AF is an acceleration factor,
estimating the point of the average service life theta of the disassembled intelligent electric energy meter under the stress action;
the interval estimation determining unit is used for adopting a formula according to the interval estimation of the average service life of the disassembled intelligent electric energy meter under the stress action and the acceleration factor
Determining the interval estimation of the residual life of the disassembled intelligent electric energy meter;
wherein, thetaHIn order to dismantle the upper limit of the 1-alpha confidence interval of the average service life theta of the intelligent electric energy meter under the stress action, thetaLIn order to remove the lower limit of the 1-alpha confidence interval of the average service life theta of the intelligent electric energy meter under the stress action,
to dismantle the remaining life of the intelligent electric energy meter
The upper limit of the 1-alpha confidence interval of (c),
to dismantle the remaining life of the intelligent electric energy meter
Lower limit of the 1-alpha confidence interval of (c).
Compared with the prior art, the invention has the following advantages:
1. the invention establishes the residual life evaluation model of the disassembled intelligent electric energy meter, and the model is easy to calculate and convenient for engineering application.
2. The problems of the intelligent electric energy meter such as out-of-tolerance, communication failure, shell deformation, liquid crystal screen failure and the like are found in the accelerated life test process, and weak links are found, so that the method has certain reference significance for improving the reliability of the intelligent electric energy meter.
3. The invention does not need to collect data in real time, thereby saving time and cost.
4. The invention improves the working efficiency by adopting the grouped data.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (8)
1. A method for evaluating the residual life of a disassembled intelligent electric energy meter is characterized by comprising the following steps:
sorting the disassembled electric energy meter, carrying out an accelerated life test on the disassembled electric energy meter after the sorting is qualified to obtain a plurality of groups of error data of the intelligent electric energy meter, and judging that the disassembled intelligent electric energy meter is invalid when the error data is greater than a set threshold;
randomly selecting n qualified disassembled intelligent electric energy meters for carrying out accelerated life test, recording failure numbers of the disassembled intelligent electric energy meters at each time interval, and judging failure conditions of the disassembled intelligent electric energy meters, including error data larger than a set threshold value, communication failure, liquid crystal display failure and shell deformation;
determining point estimation and interval estimation of the average service life of the disassembled intelligent electric energy meter under the stress action according to the failure number of the disassembled intelligent electric energy meter;
obtaining an acceleration factor;
and determining the point estimation and the interval estimation of the residual life of the disassembled intelligent electric energy meter according to the point estimation of the average life of the disassembled intelligent electric energy meter under the stress action, the interval estimation of the average life of the disassembled intelligent electric energy meter under the stress action and the acceleration factor.
2. The method for evaluating the remaining life of the removed intelligent electric energy meter according to claim 1, wherein the determining point estimation and interval estimation of the average life of the removed intelligent electric energy meter under stress according to the failure number of the removed intelligent electric energy meter specifically comprises:
adopting a formula according to the failure number of the disassembled intelligent electric energy meter
Determining point estimation of the average service life of the disassembled intelligent electric energy meter under the stress action;
wherein the content of the first and second substances,
to pull back the point estimate of the average life theta of the intelligent electric energy meter under stress,
f is the failure number of the removed intelligent electric energy meter;
according to the tear back intelligenceFailure number of electric energy meter adopts formula
Determining interval estimation of the average service life of the disassembled intelligent electric energy meter under the stress action;
wherein, thetaHIn order to dismantle the upper limit of the 1-alpha confidence interval of the average service life theta of the intelligent electric energy meter under the stress action, thetaLThe lower limit of the 1-alpha confidence interval of the average service life theta of the disassembled intelligent electric energy meter under the stress action is shown, and N is the total number of the disassembled intelligent electric energy meter.
3. The method for assessing the remaining life of the disassembled intelligent electric energy meter according to claim 1, wherein the obtaining of the acceleration factor specifically comprises:
using a formula
Determining an acceleration factor;
wherein E isaFor activation energy, k is Boltzmann constant, T is absolute temperature, TsFor temperature stress, TnFor normal use temperature, RH is the relative humidity, RHsPercent relative humidity under stress, RHnThe percentage relative humidity under normal use condition, n is constant and ranges from 1 to 12, and AF is an acceleration factor.
4. The method for evaluating the remaining life of the removed intelligent electric energy meter according to claim 1, wherein the determining the point estimation and the interval estimation of the remaining life of the removed intelligent electric energy meter according to the point estimation of the average life of the removed intelligent electric energy meter under the stress, the interval estimation of the average life of the removed intelligent electric energy meter under the stress and the acceleration factor specifically comprises:
adopting a formula according to the point estimation of the average service life of the disassembled intelligent electric energy meter under the stress action and the acceleration factor
Determining point estimation of the residual life of the disassembled intelligent electric energy meter;
wherein the content of the first and second substances,
for removing the point estimation of the remaining life of the intelligent electric energy meter, AF is an acceleration factor,
estimating the point of the average service life theta of the disassembled intelligent electric energy meter under the stress action;
adopting a formula according to the interval estimation of the average service life of the disassembled intelligent electric energy meter under the stress action and the acceleration factor
Determining the interval estimation of the residual life of the disassembled intelligent electric energy meter;
wherein, thetaHIn order to dismantle the upper limit of the 1-alpha confidence interval of the average service life theta of the intelligent electric energy meter under the stress action, thetaLIn order to remove the lower limit of the 1-alpha confidence interval of the average service life theta of the intelligent electric energy meter under the stress action,
to dismantle the remaining life of the intelligent electric energy meter
The upper limit of the 1-alpha confidence interval of (c),
to dismantle the remaining life of the intelligent electric energy meter
Lower limit of the 1-alpha confidence interval of (c).
5. The utility model provides a tear back intelligent ammeter residual life evaluation system which characterized in that includes:
the sorting module is used for disassembling the electric energy meter for sorting;
the error data determining module is used for carrying out an accelerated life test on the sorted returned electric energy meter to obtain a plurality of groups of error data of the intelligent electric energy meter, and when the error data is greater than a set threshold value, judging that the returned intelligent electric energy meter is invalid;
the failure number determining module is used for randomly selecting n qualified disassembled intelligent electric energy meters for carrying out accelerated life test, recording the failure number of the disassembled intelligent electric energy meters at each time interval, and judging the failure conditions of the disassembled intelligent electric energy meters, including error data larger than a set threshold value, communication failure, liquid crystal display failure and shell deformation;
the point estimation and interval estimation determining module is used for determining the point estimation and interval estimation of the average service life of the disassembled intelligent electric energy meter under the stress action according to the failure number of the disassembled intelligent electric energy meter;
the acceleration factor acquisition module is used for acquiring an acceleration factor;
and the point estimation and interval estimation determining module is used for determining the point estimation and interval estimation of the residual life of the disassembled intelligent electric energy meter according to the point estimation of the average life of the disassembled intelligent electric energy meter under the stress action, the interval estimation of the average life of the disassembled intelligent electric energy meter under the stress action and the acceleration factor.
6. The system for evaluating the remaining life of the detachable intelligent electric energy meter under the stress as recited in claim 5, wherein the module for determining the point estimation and the interval estimation of the average life of the detachable intelligent electric energy meter under the stress specifically comprises:
the point estimation determining unit is used for estimating and determining the average service life of the disassembled intelligent electric energy meter under the action of stress and adopting a formula according to the failure number of the disassembled intelligent electric energy meter
Tamper determinationEstimating the average service life of the smart electric energy meter under the stress action;
wherein the content of the first and second substances,
to pull back the point estimate of the average life theta of the intelligent electric energy meter under stress,
f is the failure number of the removed intelligent electric energy meter;
the interval estimation and determination unit is used for estimating and determining the average service life of the disassembled intelligent electric energy meter under the action of stress and adopting a formula according to the failure number of the disassembled intelligent electric energy meter
Determining interval estimation of the average service life of the disassembled intelligent electric energy meter under the stress action;
wherein, thetaHIn order to dismantle the upper limit of the 1-alpha confidence interval of the average service life theta of the intelligent electric energy meter under the stress action, thetaLThe lower limit of the 1-alpha confidence interval of the average service life theta of the disassembled intelligent electric energy meter under the stress action is shown, and N is the total number of the disassembled intelligent electric energy meter.
7. The system for assessing the remaining life of a disassembled intelligent electric energy meter according to claim 5, wherein the acceleration factor obtaining module specifically comprises:
an acceleration factor obtaining unit for adopting a formula
Determining an acceleration factor;
wherein E isaFor activation energy, k is Boltzmann constant, T is absolute temperature, TsFor temperature stress, TnFor normal use temperature, RH is the relative humidity, RHsPercent relative humidity under stress, RHnThe percentage relative humidity under normal use condition, n is constant and ranges from 1 to 12, and AF is an acceleration factor.
8. The system for evaluating the remaining life of the detachable intelligent electric energy meter according to claim 5, wherein the module for determining the point estimation and the interval estimation of the remaining life of the detachable intelligent electric energy meter specifically comprises:
the point estimation determining unit for the residual life of the disassembled intelligent electric energy meter is used for adopting a formula according to the point estimation of the average life of the disassembled intelligent electric energy meter under the stress action and the acceleration factor
Determining point estimation of the residual life of the disassembled intelligent electric energy meter;
wherein the content of the first and second substances,
for removing the point estimation of the remaining life of the intelligent electric energy meter, AF is an acceleration factor,
estimating the point of the average service life theta of the disassembled intelligent electric energy meter under the stress action;
the interval estimation determining unit is used for adopting a formula according to the interval estimation of the average service life of the disassembled intelligent electric energy meter under the stress action and the acceleration factor
Determining the interval estimation of the residual life of the disassembled intelligent electric energy meter;
wherein, thetaHIn order to dismantle the upper limit of the 1-alpha confidence interval of the average service life theta of the intelligent electric energy meter under the stress action, thetaLIn order to remove the lower limit of the 1-alpha confidence interval of the average service life theta of the intelligent electric energy meter under the stress action,
to dismantle the remaining life of the intelligent electric energy meter
The upper limit of the 1-alpha confidence interval of (c),
to dismantle the remaining life of the intelligent electric energy meter
Lower limit of the 1-alpha confidence interval of (c).
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