CN109933848A - A kind of product design method and its formulate system - Google Patents
A kind of product design method and its formulate system Download PDFInfo
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Abstract
The embodiment of the invention provides a kind of product design method and its formulate system, which comprises obtain the ideal type dependability parameter of each zero device of product；It inputs the ideal type dependability parameter and obtains achieved reliability parameter prediction value into Reliability Forecast of Product model；The design scheme of product is determined based on the predicted value.The product design method of the embodiment of the present invention is not necessarily to performance test software, can carry out Reliability Forecast of Product, optimizing product design scheme.
Description
Technical field
The present embodiments relate to smart machine field, in particular to a kind of product design method and its formulation system.
Background technique
As the continuous development of laptop is grown, more and more new business are imported into, and consequent is also more
It is imported into come zero more devices.However in the preparation process of product, each zero device is required to carry out reliability prediction
(that is, Predicting Reliability, average time between failures, full name in English are " Mean Time Between Failure, abbreviation
MTBF, Predicting Reliability are also MTBF prediction).The reliability prediction of many products uses PTC software realization at present.But it should
Software is very expensive, 180,000/year of usage charges (if basket purchase, expense is up to 2,000,000 RMB), and the PTC software is
It is calculated based on theoretical value, it is very big with the discrepancy of practical reliability value, actual design scheme is helped without obvious.
Summary of the invention
The present invention provides one kind to be not necessarily to performance test software, can carry out Reliability Forecast of Product, and optimization product is set
The product design method and its formulation system of meter scheme.
In order to solve the above-mentioned technical problem, the embodiment of the invention provides a kind of product design methods, comprising:
Obtain the ideal type dependability parameter of each zero device of product；
It inputs the ideal type dependability parameter and obtains achieved reliability parameter prediction into Reliability Forecast of Product model
Value；
The design scheme of product is determined based on the predicted value.
Preferably, the Reliability Forecast of Product model is formed by following steps:
Establish model framework；
What acquisition was made of the ideal type dependability parameter of each zero device of product and the reliability measured value of each zero device
Training data；
Based on the training data training model framework to obtain the Reliability Forecast of Product model.
Preferably, described train the model framework to obtain the Reliability Forecast of Product based on the training data
Model includes:
The training into the model framework of the ideal type dependability parameter of each zero device of input product obtains primary mold；
Obtain the level forecasts value for carrying out reliability prediction to each zero device of product by the primary mold；
Dependability parameter correction value is determined with the measured value of corresponding zero device based on the level forecasts value；
The primary mold, which is corrected, based on the dependability parameter correction value obtains the Reliability Forecast of Product model.
Preferably, the dependability parameter correction value include at least the electric stress factor, in the environmental stress factor at least
It is a kind of.
Preferably, the design scheme for determining product based on the predicted value includes:
The electric stress range of each zero device is at least determined according to the predicted value of each zero device of product so that each zero device can
Meet same preset standard by degree；
Based on the design scheme for determining that each zero device of electric stress range determines the product.
Preferably, described based on determining that each zero device of electric stress range determines that the design scheme of the product includes:
Based on the design scheme for determining that each zero device of electric stress range determines sample；
Design scheme production sample based on the sample；
Determine that the practical electric stress of each zero device in the sample is horizontal；
Matchingly practical reliability is determined based on the practical electric stress level；
If the practical reliability meets preset requirement, it is determined that the design scheme of the sample is the design of the product
Scheme.
The embodiment of the present invention provides a kind of product design method formulation system simultaneously, comprising:
Processing unit, is used to obtain the ideal type dependability parameter of each zero device of product, while inputting the ideal type
Dependability parameter obtains achieved reliability parameter prediction value into Reliability Forecast of Product model, and is determined based on the predicted value
The design scheme of product.
Preferably, the Reliability Forecast of Product model is formed by following steps:
Establish model framework；
What acquisition was made of the ideal type dependability parameter of each zero device of product and the reliability measured value of each zero device
Training data；
Based on the training data training model framework to obtain the Reliability Forecast of Product model.
Preferably, described train the model framework to obtain the Reliability Forecast of Product based on the training data
Model includes:
The training into the model framework of the ideal type dependability parameter of each zero device of input product obtains primary mold；
Obtain the level forecasts value for carrying out reliability prediction to each zero device of product by the primary mold；
Dependability parameter correction value is determined with the measured value of corresponding zero device based on the level forecasts value；
The primary mold, which is corrected, based on the dependability parameter correction value obtains the Reliability Forecast of Product model.
Preferably, the dependability parameter correction value include at least the electric stress factor, in the environmental stress factor at least
It is a kind of.
Disclosure based on the above embodiment can know that the beneficial effect of the embodiment of the present invention is the production by will obtain
The ideal type dependability parameter of each zero device of product is input in preprepared reliability prediction model, can quickly, efficiently
Ground obtains corresponding to the achieved reliability parameter prediction value of each zero device, so that user can be based on the achieved reliability parameter prediction value
Product design scheme can be made, so that the product prepared based on the program is not only met technique requirement, while meeting industry
The interior reliability requirement to product, guarantees the service life and user experience of product, reduces the failure-frequency of product.
Detailed description of the invention
Fig. 1 is the product design method flow chart in the embodiment of the present invention.
Fig. 2 is the product design method flow chart in another embodiment of the present invention.
Fig. 3 is the product design method flow chart in another embodiment of the present invention.
Fig. 4 is the structural block diagram of the product facility method formulation system in the embodiment of the present invention.
Specific embodiment
In the following, specific embodiments of the present invention are described in detail in conjunction with attached drawing, but not as the limitation of the invention.
It should be understood that various modifications can be made to disclosed embodiments.Therefore, following description should not regard
To limit, and only as the example of embodiment.Those skilled in the art will expect within the scope and spirit of this
Other modifications.
The attached drawing being included in the description and forms part of the description shows embodiment of the disclosure, and with it is upper
What face provided is used to explain the disclosure together to substantially description and the detailed description given below to embodiment of the disclosure
Principle.
It is of the invention by the description of the preferred form with reference to the accompanying drawings to the embodiment for being given as non-limiting example
These and other characteristic will become apparent.
Although being also understood that invention has been described referring to some specific examples, those skilled in the art
Member realizes many other equivalents of the invention in which can determine, they have feature as claimed in claim and therefore all
In the protection scope defined by whereby.
When read in conjunction with the accompanying drawings, in view of following detailed description, above and other aspect, the feature and advantage of the disclosure will become
It is more readily apparent.
The specific embodiment of the disclosure is described hereinafter with reference to attached drawing；It will be appreciated, however, that the disclosed embodiments are only
Various ways implementation can be used in the example of the disclosure.Known and/or duplicate function and structure and be not described in detail to avoid
Unnecessary or extra details makes the disclosure smudgy.Therefore, specific structural and functionality disclosed herein is thin
Section is not intended to restrictions, but as just the basis of claim and representative basis be used to instructing those skilled in the art with
Substantially any appropriate detailed construction diversely uses the disclosure.
This specification can be used phrase " in one embodiment ", " in another embodiment ", " in another embodiment
In " or " in other embodiments ", it can be referred to one or more of the identical or different embodiment according to the disclosure.
In the following, the embodiment of the present invention is described in detail in conjunction with attached drawing.
As shown in Figure 1, the embodiment of the present invention provides a kind of product design method, comprising:
Obtain the ideal type dependability parameter of each zero device of product；
Input ideal type dependability parameter obtains achieved reliability parameter prediction value into Reliability Forecast of Product model；
The design scheme of product is determined based on predicted value.
By the way that the ideal type dependability parameter of each zero device of the product of acquisition is input to preparatory standard in the embodiment of the present application
In the reliability prediction model got ready, the achieved reliability parameter prediction value for corresponding to each zero device can be fast and efficiently obtained,
So that user can make product design scheme based on the achieved reliability parameter prediction value, make to prepare based on the program
Product not only meet technique requirement, while meeting the reliability requirement in industry to product, guarantee the service life of product with
And user experience, reduce the failure-frequency of product.In addition, the method in the present embodiment only relies on ideal type reliability compared to previous
The product design method that parameter determines prepares and product out, and reliability is greatly improved, and can be realized individual consumer
The preparation of product, and compared to being based on inspection software, such as PTC software, when predicting the practical reliability of product, in the present embodiment
Method is changed to predict using Predicting Reliability model realization since inspection software is omitted, so cost is significantly reduced, and phase
Precision of prediction is also improved than inspection software, there is significant practical significance to the formulation of the design method of final products.
Further, as shown in Fig. 2, the Reliability Forecast of Product model in the present embodiment can be formed by following steps:
Establish model framework；
What acquisition was made of the ideal type dependability parameter of each zero device of product and the reliability measured value of each zero device
Training data；
Based on training data training pattern framework to obtain Reliability Forecast of Product model.
For example, formula " λ p=λ b × л T × л s × л E × л Q " can be based on when establishing model framework, and practical reliable
Spend parameter (i.e. average time between failures, full name in English be " Mean Time Between Failure, abbreviation MTBF) for 1/ λ
P prepares to be formed, wherein λ b is the basic failure rate of each zero device, and л s is the electric stress factor of each zero device, and л T is each zero device
The temperature stress factor, л Q be each zero device quality factor, л E be each zero device the environmental stress factor.And all zero devices
The sum of failure rate be product entirety failure rate, the MTBF failure rate integrated therewith of product entirety is inversely proportional, that is, produces
Product failure rate is equal to the sum of each zero device fault rate, and reliability is inversely proportional with hazard rate, zero device fault rate.Such as:
MTBF=1/ λ s, wherein NiRepresent the quantity of i-th of zero devices, λGIQuite
In λ b, лQIIt is equivalent to above-mentioned each factor, n is zero number of devices of product, and λ s is hazard rate.After establishing model framework,
Prepare training data, the training data in the present embodiment is the ideal type dependability parameter and each zero device of each zero device of product
Reliability measured value composition, be finally based on training data training pattern framework, make to determine in corresponding above-mentioned formula it is each because
Son and respective weights, finally obtain Reliability Forecast of Product model.
Further, in this embodiment being based on training data training pattern framework to obtain Reliability Forecast of Product model
Include:
The ideal type dependability parameter of each zero device of input product obtains primary mold into model framework；
Obtain the ideal type dependability parameter of each zero device by primary mold based on product to each zero device of product into
About the level forecasts value of zero device reliability obtained from row reliability prediction；
Dependability parameter correction value is determined with the measured value of corresponding zero device based on level forecasts value；
Reliability Forecast of Product model is obtained based on dependability parameter correction value amendment primary mold.
For example, the reliability of each zero device needed for product is obtained from the production firm or enterprise of each zero device in advance
Parameter, the dependability parameter are ideal type empirical value.Then by the dependability parameter be input to based on above-mentioned formula establish and
At model framework in, training obtain reliability detection primary mold.Later based on the primary mold and each zero device
Dependability parameter obtains corresponding to the level forecasts value of the reliability of each zero device, i.e. MTBF level forecasts value.Then, first based on this
The measured value of grade predicted value and corresponding zero device is analysed and compared, and dependability parameter correction value is obtained, finally can based on this
Primary mold is corrected by property parameter correction values, obtains final Reliability Forecast of Product model.
Wherein, the dependability parameter correction value in the present embodiment includes at least the revised electric stress factor, temperature stress
At least one of factor.Because may make final Predicting Reliability based on the different electric stress factors and environmental factor
Value has significant difference, therefore above-mentioned two factor is at least modified to the precision of prediction that can make production reliability prediction model
Guaranteed.Certainly, in order to effectively ensure model prediction accuracy, preferably above-mentioned all factors are modified to obtain accordingly
Dependability parameter correction value.
Further, as shown in figure 3, in the present embodiment when executing the design scheme for determining product based on predicted value, tool
Body includes:
It is at least determined in the electric stress range or environmental stress range of each zero device according to the predicted value of each zero device of product
One kind so that the reliability of each zero device meets same preset standard；
Based on the design scheme for determining that each zero device of electric stress range determines product.
For example, it is assumed that the stress level of three zero devices is 25 DEG C of (temperature stress is horizontal)/50% (electric stress is horizontal),
Through by the prediction of Reliability Forecast of Product model, in the case where the electric stress is horizontal the reliability of three zero devices be respectively 40000,
10000,50000.Based on long plate theory, in order to guarantee the service life and reliability of product entirety, need each zero device
Reliability carries out unified standard, that is, the reliability of each zero device is made to be all satisfied same preset standard, such as is 40000.
Therefore, in the final design scheme of formulation product, the electric stress level for zero device that reliability is 40000 can be kept not
Become, while the electric stress for reducing by zero device that reliability is 10000 is horizontal, and improves the electricity for zero device that reliability is 50000
Stress level, so that extending the normal use time for zero device that reliability is 10000, so that raising and reliability, subtract simultaneously
The normal use time for zero device that few reliability is 50000 declines its reliability, with this equilibrium product total reliability,
Extend product whole service life.Alternatively, the adjusting of reliability can also be realized by adjusting temperature stress level, such as reducing can
Temperature levels by spending zero device for 10000 are 20 DEG C, and the temperature levels for improving zero device that reliability is 40000 are 40
DEG C, and then make its temperature stress factor variations, cause final reliability to change.
Further, in this embodiment executing based on the design side for determining that each zero device of electric stress range determines product
Include: when case
Based on the design scheme for determining that each zero device of electric stress range determines sample；
Design scheme production sample based on sample；
Determine that sample actual stress is horizontal；
Matchingly practical reliability is determined based on actual stress level；
If practical reliability meets preset requirement, it is determined that the design scheme of sample is the design scheme of product.
For example, first determining the design scheme of sample according to each zero device for redefining electric stress range, and accordingly prepare
Sample out, the actual stress for then surveying the sample is horizontal (electric stress as escribed above, environmental stress, temperature stress etc.), i.e.,
Product achieved reliability parameter, and the practical reliability of product is obtained based on the actual stress level calculation, finally judge that this can
Whether meet preset requirement by degree, if satisfied, then can determine that the design scheme of the sample is the design scheme of final product.
And if not satisfied, then needing to readjust dependability parameter correction value, until the practical reliability of final sample meets preset requirement.
As shown in figure 4, the embodiment of the present invention provides a kind of product design scheme formulation system simultaneously, comprising:
Processing unit is used to obtain the ideal type dependability parameter of each zero device of product, while it is reliable to input ideal type
Property parameter obtains achieved reliability parameter prediction value into Reliability Forecast of Product model, and determines setting for product based on predicted value
Meter scheme.
By the way that the ideal type dependability parameter of each zero device of the product of acquisition is input to preparatory standard in the embodiment of the present application
In the reliability prediction model got ready, the achieved reliability parameter prediction value for corresponding to each zero device can be fast and efficiently obtained,
So that user can make product design scheme based on the achieved reliability parameter prediction value, make to prepare based on the program
Product not only meet technique requirement, while meeting the reliability requirement in industry to product, guarantee the service life of product with
And user experience, reduce the failure-frequency of product.In addition, the method in the present embodiment only relies on ideal type reliability compared to previous
The product design method that parameter determines prepares and product out, and reliability is greatly improved, and can be realized individual consumer
The preparation of product, and compared to being based on inspection software, such as PTC software, when predicting the practical reliability of product, in the present embodiment
Method is changed to predict using Predicting Reliability model realization since inspection software is omitted, so cost is significantly reduced, and phase
Precision of prediction is also improved than inspection software, there is significant practical significance to the formulation of the design method of final products.
Further, in this embodiment Reliability Forecast of Product model can be formed by following steps:
Establish model framework；
What acquisition was made of the ideal type dependability parameter of each zero device of product and the reliability measured value of each zero device
Training data；
Based on training data training pattern framework to obtain Reliability Forecast of Product model.
For example, formula " λ p=λ b × л T × л s × л E × л Q " can be based on when establishing model framework, and practical reliable
Spend parameter (i.e. average time between failures, full name in English be " Mean Time Between Failure, abbreviation MTBF) for 1/ λ
P prepares to be formed, wherein λ b is the basic failure rate of each zero device, and л s is the electric stress factor of each zero device, and л T is each zero device
The temperature stress factor, л Q be each zero device quality factor, л E be each zero device the environmental stress factor.And all zero devices
The sum of failure rate be product entirety failure rate, the MTBF failure rate integrated therewith of product entirety is inversely proportional, that is, produces
Product failure rate is equal to the sum of each zero device fault rate, and reliability is inversely proportional with hazard rate, zero device fault rate.Such as:
MTBF=1/ λ s, wherein NiRepresent the quantity of i-th of zero devices, λGIQuite
In λ b, лQIIt is equivalent to above-mentioned each factor, n is zero number of devices of product, and λ s is hazard rate.After establishing model framework,
Prepare training data, the training data in the present embodiment is the ideal type dependability parameter and each zero device of each zero device of product
Reliability measured value composition, be finally based on training data training pattern framework, make to determine in corresponding above-mentioned formula it is each because
Son and respective weights, finally obtain Reliability Forecast of Product model.
Further, in this embodiment being based on training data training pattern framework to obtain Reliability Forecast of Product model
Include:
The ideal type dependability parameter of each zero device of input product obtains primary mold into model framework；
Obtain the ideal type dependability parameter of each zero device by primary mold based on product to each zero device of product into
About the level forecasts value of zero device reliability obtained from row reliability prediction；
Dependability parameter correction value is determined with the measured value of corresponding zero device based on level forecasts value；
Reliability Forecast of Product model is obtained based on dependability parameter correction value amendment primary mold.
For example, the reliability of each zero device needed for product is obtained from the production firm or enterprise of each zero device in advance
Parameter, the dependability parameter are ideal type empirical value.Then by the dependability parameter be input to based on above-mentioned formula establish and
At model framework in, training obtain reliability detection primary mold.Later based on the primary mold and each zero device
Dependability parameter obtains corresponding to the level forecasts value of the reliability of each zero device, i.e. MTBF level forecasts value.Then, first based on this
The measured value of grade predicted value and corresponding zero device is analysed and compared, and dependability parameter correction value is obtained, finally can based on this
Primary mold is corrected by property parameter correction values, obtains final Reliability Forecast of Product model.
Wherein, the dependability parameter correction value in the present embodiment includes at least the revised electric stress factor, temperature stress
At least one of factor.Because may make final Predicting Reliability based on the different electric stress factors and environmental factor
Value has significant difference, therefore above-mentioned two factor is at least modified to the precision of prediction that can make production reliability prediction model
Guaranteed.Certainly, in order to effectively ensure model prediction accuracy, preferably above-mentioned all factors are modified to obtain accordingly
Dependability parameter correction value.
Further, in this embodiment processing unit when executing the design scheme for determining based on predicted value product, tool
Body includes:
It is at least determined in the electric stress range or environmental stress range of each zero device according to the predicted value of each zero device of product
One kind so that the reliability of each zero device meets same preset standard；
Based on the design scheme for determining that each zero device of electric stress range determines product.
For example, it is assumed that the stress level of three zero devices is 25 DEG C of (temperature stress is horizontal)/50% (electric stress is horizontal),
Through by the prediction of Reliability Forecast of Product model, in the case where the electric stress is horizontal the reliability of three zero devices be respectively 40000,
10000,50000.Based on long plate theory, in order to guarantee the service life and reliability of product entirety, need each zero device
Reliability carries out unified standard, that is, the reliability of each zero device is made to be all satisfied same preset standard, such as is 40000.
Therefore, in the final design scheme of formulation product, the electric stress level for zero device that reliability is 40000 can be kept not
Become, while the electric stress for reducing by zero device that reliability is 10000 is horizontal, and improves the electricity for zero device that reliability is 50000
Stress level, so that extending the normal use time for zero device that reliability is 10000, so that raising and reliability, subtract simultaneously
The normal use time for zero device that few reliability is 50000 declines its reliability, with this equilibrium product total reliability,
Extend product whole service life.Alternatively, the adjusting of reliability can also be realized by adjusting temperature stress level, such as reducing can
Temperature levels by spending zero device for 10000 are 20 DEG C, and the temperature levels for improving zero device that reliability is 40000 are 40
DEG C, and then make its temperature stress factor variations, cause final reliability to change.
Further, in this embodiment processing unit execute based on determine electric stress range each zero device determine produce
Include: when the design scheme of product
Based on the design scheme for determining that each zero device of electric stress range determines sample；
Control the design scheme production sample based on sample；
Determine that sample actual stress is horizontal；
Matchingly practical reliability is determined based on actual stress level；
If practical reliability meets preset requirement, it is determined that the design scheme of sample is the design scheme of product.
For example, first determining the design scheme of sample according to each zero device for redefining electric stress range, and accordingly prepare
Sample out, the actual stress for then surveying the sample is horizontal (electric stress as escribed above, environmental stress, temperature stress etc.), i.e.,
Product achieved reliability parameter, and the practical reliability of product is obtained based on the actual stress level calculation, finally judge that this can
Whether meet preset requirement by degree, if satisfied, then can determine that the design scheme of the sample is the design scheme of final product.
And if not satisfied, then needing to readjust dependability parameter correction value, until the practical reliability of final sample meets preset requirement.
It is apparent to those skilled in the art that for convenience and simplicity of description, the data of foregoing description
The electronic equipment that processing method is applied to, can be with reference to the corresponding description in before-mentioned products embodiment, and details are not described herein.
Above embodiments are only exemplary embodiment of the present invention, are not used in the limitation present invention, protection scope of the present invention
It is defined by the claims.Those skilled in the art can within the spirit and scope of the present invention make respectively the present invention
Kind modification or equivalent replacement, this modification or equivalent replacement also should be regarded as being within the scope of the present invention.
Claims (10)
1. a kind of product design method characterized by comprising
Obtain the ideal type dependability parameter of each zero device of product；
It inputs the ideal type dependability parameter and obtains achieved reliability parameter prediction value into Reliability Forecast of Product model；
The design scheme of product is determined based on the predicted value.
2. the method according to claim 1, wherein the Reliability Forecast of Product model passes through following steps shape
At:
Establish model framework；
Obtain the training being made of the ideal type dependability parameter of each zero device of product and the reliability measured value of each zero device
Data；
Based on the training data training model framework to obtain the Reliability Forecast of Product model.
3. according to the method described in claim 2, it is characterized in that, described based on the training data training model framework
Include: to obtain the Reliability Forecast of Product model
The training into the model framework of the ideal type dependability parameter of each zero device of input product obtains primary mold；
Obtain the level forecasts value that reliability prediction is carried out by the primary mold zero device each to the product；
Dependability parameter correction value is determined based on the level forecasts value and the measured value of accordingly zero device；
The primary mold, which is corrected, based on the dependability parameter correction value obtains the Reliability Forecast of Product model.
4. according to the method described in claim 4, it is characterized in that, the dependability parameter correction value include at least electric stress because
At least one of son, temperature stress factor.
5. the method according to claim 1, wherein the design scheme for determining product based on the predicted value
Include:
The electric stress range of each zero device, one in temperature stress range are at least determined according to the predicted value of each zero device of product
Kind, so that the reliability of each zero device meets same preset standard；
Based on the design side for determining that each zero device of at least one of electric stress range, temperature stress range determines the product
Case.
6. according to the method described in claim 5, it is characterized in that, described based on determining electric stress range, temperature stress range
At least one of each zero device determine that the design scheme of the product includes:
Based on the design scheme for determining that each zero device of at least one of electric stress range, temperature stress range determines sample；
Design scheme production sample based on the sample；
Determine that the actual stress of the sample is horizontal；
Matchingly practical reliability is determined based on the actual stress level；
If the practical reliability meets preset requirement, it is determined that the design scheme of the sample is the design side of the product
Case.
7. a kind of product design method formulates system characterized by comprising
Processing unit is used to obtain the ideal type dependability parameter of each zero device of product, while it is reliable to input the ideal type
Property parameter obtains achieved reliability parameter prediction value into Reliability Forecast of Product model, and determines product based on the predicted value
Design scheme.
8. formulation system according to claim 7, which is characterized in that the Reliability Forecast of Product model passes through following step
It is rapid to be formed:
Establish model framework；
Obtain the training being made of the ideal type dependability parameter of each zero device of product and the reliability measured value of each zero device
Data；
Based on the training data training model framework to obtain the Reliability Forecast of Product model.
9. formulation system according to claim 8, which is characterized in that described based on the training data training model
Framework includes: to obtain the Reliability Forecast of Product model
The training into the model framework of the ideal type dependability parameter of each zero device of input product obtains primary mold；
Obtain the level forecasts value for carrying out reliability prediction to each zero device of product by the primary mold；
Dependability parameter correction value is determined with the measured value of corresponding zero device based on the level forecasts value；
The primary mold, which is corrected, based on the dependability parameter correction value obtains the Reliability Forecast of Product model.
10. formulation system according to claim 9, which is characterized in that the dependability parameter correction value includes at least electricity
At least one of stress factor, temperature stress factor.
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