CN109784666A - The detection method and device of equipment quality - Google Patents
The detection method and device of equipment quality Download PDFInfo
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- CN109784666A CN109784666A CN201811566014.4A CN201811566014A CN109784666A CN 109784666 A CN109784666 A CN 109784666A CN 201811566014 A CN201811566014 A CN 201811566014A CN 109784666 A CN109784666 A CN 109784666A
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Abstract
The invention discloses a kind of detection method and device of equipment quality.Wherein, this method comprises: obtaining the initial score of supplier to be detected；The initial score and sample size of supplier are calculated, with the lower limit of confidence interval of each supplier's average of determination, wherein lower limit of confidence interval is used to define the target category of each equipment of supplier；According to target category, the equipment score of each equipment of supplier is determined, wherein the quality of equipment score indicating equipment.The present invention solves the technical issues of equipment quality that can not directly pass through the objective and accurate reflection supplier of score in the related technology.
Description
Technical field
The present invention relates to testing techniques of equipment fields, in particular to a kind of detection method and device of equipment quality.
Background technique
In the related art, equipment quality (quality of such as grid equipment) is evaluated, often using marking mode to setting
Standby quality carries out comprehensive marking, but due to the sample size of different suppliers (dress dosage) different, certain equipment supplier's platforms
Year is less, and defect record is seldom, causes supplier's score higher, carries out ranking according to initial score obtained by point system,
Then certain small manufacturers due to its sample size (i.e. number of devices or platform year) it is smaller, in the case where reporting and submitting defect less by ranking
It is forward, and certain large manufacturers then rank behind since defect record is more, directly can not objectively and accurately be reflected by score
The superiority and inferiority of supplier.
For above-mentioned problem, currently no effective solution has been proposed.
Summary of the invention
The embodiment of the invention provides a kind of detection method and device of equipment quality, at least solve in the related technology without
Method directly passes through the technical issues of equipment quality of the objective and accurate reflection supplier of score.
According to an aspect of an embodiment of the present invention, a kind of detection method of equipment quality is provided, comprising: obtain to be checked
The initial score of the supplier of survey；The initial score and sample size of supplier are calculated, it is flat with each supplier of determination
The lower limit of confidence interval of equal score, wherein the lower limit of confidence interval is used to define the target of each equipment of the supplier
Classification；According to the target category, the equipment score of each equipment of the supplier is determined, wherein the equipment score refers to
Show the quality of the equipment.
Further, the initial score for obtaining supplier to be detected includes: to calculate equipment fortune by the first preset formula
The equipment score in row jth year, wherein first preset formula are as follows: sj=s0+ f × (j-1), sjFor the equipment score in jth year,
s0Initial value is run for equipment, f is step-length, and the equipment runs initial value s0It is incremented by with step-length f in arithmetic progression；It is default by second
Formula calculates the running score after putting equipment in service y, wherein second preset formula are as follows:SiFor the y that puts into operation
Running score after year；The running score of the supplier is calculated by third preset formula, wherein the third preset formula
Are as follows:SΣFor the running score of the supplier；Using the running score of the supplier, the supply is calculated
The initial score of quotient.
Further, using the running score of the supplier, the initial score for calculating the supplier includes: by
Four preset formulas calculate the supplier and n occursSecondary non-the the first deduction of points value stopped, wherein the 4th preset formula are as follows: Ds=
ns×ds, DsFor n occurssSecondary non-the the first deduction of points value stopped, dsThe non-single deduction of points value stopped occurs for equipment；Pass through the 5th default public affairs
Formula calculates the supplier and n occursfSecond deduction of points value of secondary failure, wherein the 5th preset formula are as follows: Df=nf×df, Df
For n occursfSecondary non-the the second deduction of points value stopped, dfFor the single deduction of points value of device fails；Institute is calculated by the 6th preset formula
It states supplier and n occursbpThe third deduction of points value of secondary first order company notification, wherein the 6th preset formula are as follows: Dbp=nbp×
dbp, DbpFor n occursbpThe third deduction of points value of secondary first order company notification, dbpFor the single deduction of points that first order company notification occurs
Value；The supplier is calculated by the 7th preset formula, and n occursbs4th deduction of points value of secondary second level company notification, wherein described
7th preset formula are as follows: Dbs=nbs×dbs, DbsFor n occursbs4th deduction of points value of secondary second level company notification, dbsTo occur the
The single deduction of points value of level-one company notification；The supplier is calculated by the 8th preset formula, and n occursdSecondary corporate family's property defect
The 5th deduction of points value, wherein the 8th preset formula are as follows: Dd=nd×dd, DdFor n occursdThe of secondary corporate family's property defect
Five deduction of points values, ddFor the single deduction of points value that corporate family's property defect occurs；According to the first deduction of points value, second deduction of points
Value, the third deduction of points value, the 4th deduction of points value and the 5th deduction of points value, calculate the initial score of the supplier.
Further, according to the first deduction of points value, the second deduction of points value, the third deduction of points value, the 4th button
Score value and the 5th deduction of points value, the initial score for calculating the supplier include: to calculate the supplier by the 9th preset formula
Initial score, wherein the 9th preset formula are as follows:P is the first of the supplier
Beginning score, T are the platform year of the equipment of the supplier, and k is deduction of points coefficient.
Further, the deduction of points coefficient is calculated by the tenth preset formula, wherein the tenth preset formula:Wherein, k is deduction of points coefficient, and r is that the deduction of points of calculating is total
It is worth (Df+Ds+Dbp+Dbs+Dd) and zero defect running score SpBetween ratio, rmax、rminRespectively all evaluation fineness of equipment
Maximum value and minimum value calculate zero defect running score S by the 11st preset formulap, the 11st preset formula are as follows:
Further, the initial score and sample size of supplier are calculated, averagely with each supplier of determination
The lower limit of confidence interval divided includes: the lower limit of confidence interval that equipment supplier's average is calculated by the 12nd preset formula,
Wherein, the 12nd preset formula are as follows:pdownFor the lower limit of confidence interval of p, p is
The initial score of supplier, n indicate that sample size, the z that z indicates that corresponding confidence level is 1- α count constant.
Further, according to the target category, determine that the equipment score of each equipment of the supplier includes: basis
The target category searches the corresponding classification section of the target category；According to the classification section and classification class to be adjusted
Other quantity determines the equipment score of each equipment of the supplier.
According to another aspect of an embodiment of the present invention, a kind of detection device of equipment quality is additionally provided, comprising: obtain single
Member, for obtaining the initial score of supplier to be detected；Computing unit, for the initial score and sample size to supplier
It is calculated, with the lower limit of confidence interval of each supplier's average of determination, wherein the lower limit of confidence interval is for defining
The target category of each equipment of the supplier；Determination unit, for determining the supplier's according to the target category
The equipment score of each equipment, wherein the equipment score indicates the quality of the equipment.
Further, the acquiring unit includes: the first computing module, for calculating equipment fortune by the first preset formula
The equipment score in row jth year, wherein first preset formula are as follows: sj=s0+ f × (j-1), sjFor the equipment score in jth year,
s0Initial value is run for equipment, f is step-length, and the equipment runs initial value s0It is incremented by with step-length f in arithmetic progression；Second computing module,
For passing through the running score after the second preset formula calculating putting equipment in service y, wherein second preset formula are as follows:SiFor the running score after the y that puts into operation；Third computing module, for calculating the confession by third preset formula
Answer the running score of quotient, wherein the third preset formula are as follows:SΣFor the running score of the supplier；The
Four computing modules calculate the initial score of the supplier for the running score using the supplier.
Further, the 4th computing module includes: the first computational submodule, for being calculated by the 4th preset formula
N occurs for the suppliersSecondary non-the the first deduction of points value stopped, wherein the 4th preset formula are as follows: Ds=ns×ds, DsTo occur
nsSecondary non-the the first deduction of points value stopped, dsThe non-single deduction of points value stopped occurs for equipment；Second computational submodule, for passing through the 5th
Preset formula calculates the supplier and n occursfSecond deduction of points value of secondary failure, wherein the 5th preset formula are as follows: Df=nf
×df, DfFor n occursfSecondary non-the the second deduction of points value stopped, dfFor the single deduction of points value of device fails；Third computational submodule,
N occurs for calculating the supplier by the 6th preset formulabpThe third deduction of points value of secondary first order company notification, wherein institute
State the 6th preset formula are as follows: Dbp=nbp×dbp, DbpFor n occursbpThe third deduction of points value of secondary first order company notification, dbpTo occur
The single deduction of points value of first order company notification；4th computational submodule, for calculating the supplier by the 7th preset formula
N occursbs4th deduction of points value of secondary second level company notification, wherein the 7th preset formula are as follows: Dbs=nbs×dbs, DbsFor
N occursbs4th deduction of points value of secondary second level company notification, dbsFor the single deduction of points value that first order company notification occurs；=the five
For calculating the supplier by the 8th preset formula n occurs for computational submoduled5th deduction of points of secondary corporate family's property defect
Value, wherein the 8th preset formula are as follows: Dd=nd×dd, DdFor n occursd5th deduction of points value of secondary corporate family's property defect, dd
For the single deduction of points value that corporate family's property defect occurs；6th computational submodule, for according to the first deduction of points value, described the
Two deduction of points values, the third deduction of points value, the 4th deduction of points value and the 5th deduction of points value, calculate the initial score of the supplier.
Further, the 6th computational submodule includes: the 7th computational submodule, based on through the 9th preset formula
Calculate the initial score of the supplier, wherein the 9th preset formula are as follows:P is institute
The initial score of supplier is stated, T is the platform year of the equipment of the supplier, and k is deduction of points coefficient.
Further, the detection device of the equipment quality further include: the 8th computational submodule, for default by the tenth
Formula calculates the deduction of points coefficient, wherein the tenth preset formula:Wherein, k is deduction of points coefficient, and r is that the deduction of points of calculating is total
It is worth (Df+Ds+Dbp+Dbs+Dd) and zero defect running score SpBetween ratio, rmax、rminRespectively all evaluation fineness of equipment
Maximum value and minimum value calculate zero defect running score S by the 11st preset formulap, the 11st preset formula are as follows:
Further, computing unit includes: the 5th computing module, for calculating equipment supply by the 12nd preset formula
The lower limit of confidence interval of quotient's average, wherein the 12nd preset formula are as follows:
pdownFor the lower limit of confidence interval of p, p is the initial score of supplier, and n indicates that sample size, z indicate that corresponding confidence level is 1-
The z of α counts constant.
Further, the determination unit includes: searching module, for searching the target according to the target category
The corresponding classification section of classification；Determining module, for determining institute according to the classification section and hierarchical categories quantity to be adjusted
State the equipment score of each equipment of supplier.
According to another aspect of an embodiment of the present invention, a kind of storage medium is additionally provided, the storage medium is for storing
Program, wherein equipment where described program controls the storage medium when being executed by processor executes above-mentioned any one institute
The detection method for the equipment quality stated.
According to another aspect of an embodiment of the present invention, a kind of processor is additionally provided, the processor is used to run program,
Wherein, the detection method of equipment quality described in above-mentioned any one is executed when described program is run.
In embodiments of the present invention, the initial score for obtaining supplier to be detected, to the initial score and sample of supplier
This capacity is calculated, with the lower limit of confidence interval of each supplier's average of determination, wherein lower limit of confidence interval is for fixed
The target category of each equipment of adopted supplier determines the equipment score of each equipment of supplier according to target category,
In, the quality of equipment score indicating equipment.In this embodiment it is possible to by the confidence interval of each supplier's average,
The equipment score for determining each equipment of supplier allows the equipment quality of supplier to quantify score, and can also lead to
Multidimensional evaluation method is crossed, accurately reflects the scoring of equipment quality, and then solves directly pass through score in the related technology
The technical issues of equipment quality of objective and accurate reflection supplier.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair
Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is a kind of flow chart of the detection method of optional equipment quality according to an embodiment of the present invention；
Fig. 2 is the schematic diagram of the detection device of another optional equipment quality according to an embodiment of the present invention.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work
It encloses.
It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to the embodiment of the present invention described herein can in addition to illustrating herein or
Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, for example, the process, method, system, product or equipment for containing a series of steps or units are not necessarily limited to
Step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, product
Or other step or units that equipment is intrinsic.
According to embodiments of the present invention, a kind of detection method embodiment of equipment quality is provided, it should be noted that attached
The step of process of figure illustrates can execute in a computer system such as a set of computer executable instructions, though also,
So logical order is shown in flow charts, but in some cases, it can be to be different from shown by sequence execution herein
Or the step of description.
Fig. 1 is a kind of flow chart of the detection method of optional equipment quality according to an embodiment of the present invention, such as Fig. 1 institute
Show, this method comprises the following steps:
Step S102 obtains the initial score of supplier to be detected；
Step S104 calculates the initial score and sample size of supplier, averagely with each supplier of determination
The lower limit of confidence interval divided, wherein lower limit of confidence interval is used to define the target category of each equipment of supplier；
Step S106 determines the equipment score of each equipment of supplier, wherein equipment score refers to according to target category
Show the quality of equipment.
Through the above steps, the initial score of available supplier to be detected, to the initial score and sample of supplier
This capacity is calculated, with the lower limit of confidence interval of each supplier's average of determination, wherein lower limit of confidence interval is for fixed
The target category of each equipment of adopted supplier determines the equipment score of each equipment of supplier according to target category,
In, the quality of equipment score indicating equipment.In this embodiment it is possible to by the confidence interval of each supplier's average,
The equipment score for determining each equipment of supplier, allows the equipment quality of supplier to quantify score, accurately reflects
The scoring of equipment quality, and then solving in the related technology can not be directly by the equipment matter of the objective and accurate reflection supplier of score
The technical issues of amount.
Above steps is illustrated below.
In embodiments of the present invention, it is related to a kind of evaluation score of equipment, concentrated expression equipment running score and matter
The embodiment of amount deduction of points can introduce " Wilson's confidence interval " (Wilson score in embodiments of the present invention
Confidence interval) ranking is carried out, and by " linear function normalization " (Min-Max scaling), finally obtain
Supplier quantifies score.
It is possible, firstly, to determine the initial score of supplier.Step S102 obtains the initial of supplier to be detected and obtains
Point.
In this step, can with the comprehensive analysis putting equipment in service time, the disfigurement discovery time, failure, non-stop and quality events
The factors such as notification, to determine the initial score of supplier.
In the optional example of the application one, appearance year can be first calculated.In this application, supplier evaluation can be set
Period in starting the time and terminate the time be respectively YlAnd Yu.The number of devices that then puts into operation is in the A supplier of n, certain time of putting into operation is
yiTable of equipment year tiAre as follows:
The head station year T of supplier AAAre as follows:
In this application, after the platform year for getting equipment operation, the initial of supplier to be detected can be calculated
Score, above-mentioned steps S102 may include:
The equipment score that equipment runs jth year is calculated by the first preset formula, wherein the first preset formula are as follows: sj=s0
+ f × (j-1),s jFor the equipment score in jth year, s0Initial value is run for equipment, f is step-length, and equipment runs initial value s0It is in step-length f
Arithmetic progression is incremented by.I.e. since putting equipment in service, equipment running score is with initial value s0It is incremented by with step-length f in arithmetic progression, operation
The equipment score s in jth yearjAre as follows: sj=s0+ f × (j-1), if there is defect in equipment jth ' year, this year score are as follows: sj'=sd-k*
d。
Wherein, sdCurrent year score initial value (different from zero defect time initial value) occur for defect, d is amendment deduction of points value (root
Obtained according to relevant device assessment guidelines), k is deduction of points coefficient.
Equipment occurs defect next year and is considered as equipment and puts into operation again, this year score is from s0It rises and recalculates, and is pre- by second
If formula calculates the running score after putting equipment in service y, wherein the second preset formula are as follows:SiFor the y that puts into operation
Running score afterwards.
The running score of supplier is calculated by third preset formula, wherein third preset formula are as follows:
SΣFor the running score of supplier；Using the running score of supplier, the initial score of supplier is calculated.
If defect, running score S do not occur in evaluation time for certain equipmentpAre as follows:
The above-mentioned formula that defect does not occur is the 11st following preset formula.
Also, after obtaining supplier's running score, consider supplier there are failure, it is non-stop and quality events notification etc. feelings
Condition carries out quantification treatment to it.
In the embodiment of the present application, using the running score of supplier, the initial score for calculating supplier includes: by
Four preset formulas calculate supplier and n occursSecondary non-the the first deduction of points value stopped, wherein the 4th preset formula are as follows: Ds=ns×ds, Ds
For n occurssSecondary non-the the first deduction of points value stopped, dsThe non-single deduction of points value stopped occurs for equipment；It is calculated and is supplied by the 5th preset formula
Answer quotient that n occursfSecond deduction of points value of secondary failure, wherein the 5th preset formula are as follows: Df=nf×df, DfFor n occursfIt is secondary non-to stop
Second deduction of points value, dfFor the single deduction of points value of device fails；Supplier is calculated by the 6th preset formula, and n occursbpSecondary
The third deduction of points value of level-one company notification, wherein the 6th preset formula are as follows: Dbp=nbp×dbp, DbpFor n occursbpThe secondary first order
The third deduction of points value of company's notification, dbpFor the single deduction of points value that first order company notification occurs；It is calculated by the 7th preset formula
N occurs for supplierbs4th deduction of points value of secondary second level company notification, wherein the 7th preset formula are as follows: Dbs=nbs×dbs, Dbs
For n occursbs4th deduction of points value of secondary second level company notification, dbsFor the single deduction of points value that first order company notification occurs；Pass through
8th preset formula calculates supplier and n occursd5th deduction of points value of secondary corporate family's property defect, wherein the 8th preset formula are as follows:
Dd=nd×dd, DdFor n occursd5th deduction of points value of secondary corporate family's property defect, ddFor the single that corporate family's property defect occurs
Deduction of points value；According to the first deduction of points value, the second deduction of points value, third deduction of points value, the 4th deduction of points value and the 5th deduction of points value, supplier is calculated
Initial score.
Another optional example, according to the first deduction of points value, the second deduction of points value, third deduction of points value, the 4th deduction of points value and the
Five deduction of points values, the initial score for calculating supplier include: that the initial score of supplier is calculated by the 9th preset formula, wherein
9th preset formula are as follows:P is the initial score of supplier, and T is the equipment of supplier
Platform year, k are deduction of points coefficient.
The initial score for putting into effect the supplier that year is T can be calculated by above-mentioned 9th preset formula.
It is another optional, in this application, deduction of points coefficient can also be calculated by the tenth preset formula, wherein the tenth
Preset formula:Wherein, k is deduction of points coefficient, and r is to calculate
Deduction of points total value (Df+Ds+Dbp+Dbs+Dd) and zero defect running score SpBetween ratio, rmax、rminRespectively equipment is all
Fineness maximum value and minimum value are evaluated, zero defect running score S is calculated by the 11st preset formulap, the 11st preset formula
Are as follows:
I.e. in this application, can be different for various kinds of equipment defect (or failure) rate, dynamic Dynamic gene is introduced, is solved
The problem of equipment operation condition or defect fault condition unilaterally influence evaluation result, it is ensured that evaluation reflection equipment quality comprehensively
Situation.
It, can be initial with supplier after calculating the initial score of supplier as the optional example of the application one
The base values of score rank is modified by confidence interval (i.e. confidence level).I.e. sample size is bigger, and confidence interval is got over
Narrow, lower limit value and sample average difference are smaller；Sample size is smaller, and confidence interval is wider, and lower limit value is got over sample average difference
Greatly, to well solve the accuracy problem of small samples method evaluation.
In this application, each supplier can be calculated according to the initial score and sample size for the supplier that respectively participates in evaluation and electing to be averaged
The lower limit of confidence interval of score is determined using lower limit of confidence interval as to vendors' evaluating according to using Wilson's confidence interval
The score of equipment.
Step S104 calculates the initial score and sample size of supplier, averagely with each supplier of determination
The lower limit of confidence interval divided, wherein lower limit of confidence interval is used to define the target category of each equipment of supplier.
In this application, the initial score and sample size of supplier are calculated, it is average with each supplier of determination
The lower limit of confidence interval of score includes: under the confidence interval for calculating equipment supplier's average by the 12nd preset formula
Limit, wherein the 12nd preset formula are as follows:pdownFor the lower limit of confidence interval of p, p is to supply
The initial score of quotient is answered, n indicates that sample size, the z that z indicates that corresponding confidence level is 1- α count constant.
For the 12nd above-mentioned preset formula, pdownIt can be designated as the final score of supplier；N can indicate sample
Capacity, according to supplier's sample size selected equipment number, platform year or hundred years；Z indicates the z that corresponding confidence level is 1- α
Constant is counted, for example, it is 1.96 that z, which counts constant, when confidence level is 95%；When confidence level is 99%, z statistics constant is
2.576。
The equipment of supplier can be carried out ranking by S104 through the above steps, for example, being divided into A, B, C, D, E from high to low
Five classes, wherein A class accounts for 10%；B class accounts for 20%；C class accounts for 40%, D class and accounts for 20%, E class to account for 10% (thin according to specific appraisal of equipment
Degree and Supplier Number can adjust hierarchical categories quantity).If there are the familials that company is assert to lack in evaluation fineness for supplier
It falls into, then drops 1 grade of processing.
In this application, can define above-mentioned A grade is 93-100 points, and B grades are 85 points -92 points, and C grades are 77-84 points, D
Grade is 69-76 points, and E grades are 60-68 points.According to classification situation, " linear function normalization " is segmented to equipment score, finally
Obtain the specific score value of each supplier (hundred-mark system).
Step S106 determines the equipment score of each equipment of supplier, wherein equipment score refers to according to target category
Show the quality of equipment.
According to target category, it can determine that the equipment score of each equipment of supplier includes: basis in this application
Target category searches the corresponding classification section of target category；According to classification section and hierarchical categories quantity to be adjusted, determines and supply
Answer the equipment score of each equipment of quotient.
Through the foregoing embodiment, comprehensively considered number of devices, the putting equipment in service time, equipment deficiency number, defect property grade,
The influence factor of the various dimensions such as effective evaluation unit solves accuracy problem caused by sample size, ensure that evaluation result
Objective and fair.And evaluation of programme uses platform year for computing unit, and the annual score of equipment is passed in arithmetic progression in the case of zero defect
Increase, fully considered the advantage that some vendor equipment quantity are more, the putting equipment in service time is long, calculated result show number of devices with
The putting equipment in service time has positive facilitation to supplier's final score.
Meanwhile in equipment quality evaluation of programme in this application, difference has been formulated to the defect of different number and property
Scoring values, fully considered the influence of defects count and defect property these unfavorable factors to supplier evaluation, calculated knot
Fruit shows that defects count and defect severity have reversed inhibiting effect to the final score of supplier.
In addition, in this application, evaluation of programme considers the influence of effective evaluation unit number, some higher supplies of score
Quotient cannot be introduced into the ranking of higher-class type supplier since effective evaluation unit is small.
Fig. 2 is the schematic diagram of the detection device of another optional equipment quality according to an embodiment of the present invention, such as Fig. 2 institute
Show, the apparatus may include: acquiring unit 21, computing unit 23, determination unit 25, wherein
Acquiring unit 21, for obtaining the initial score of supplier to be detected；
Computing unit 23 is calculated for the initial score and sample size to supplier, with each supplier of determination
The lower limit of confidence interval of average, wherein lower limit of confidence interval is used to define the target category of each equipment of supplier；
Determination unit 25, for determining the equipment score of each equipment of supplier, wherein equipment according to target category
The quality of score indicating equipment.
The detection device of above equipment quality can obtain the initial of supplier to be detected by acquiring unit 21 and obtain
Point, and calculated by initial score and sample size of the computing unit 23 to supplier, it is average with each supplier of determination
The lower limit of confidence interval of score, wherein lower limit of confidence interval is used to define the target category of each equipment of supplier, by true
Order member 25 determines the equipment score of each equipment of supplier, wherein the matter of equipment score indicating equipment according to target category
Amount.In this embodiment it is possible to determine setting for each equipment of supplier by the confidence interval of each supplier's average
Standby score, allows the equipment quality of supplier to quantify score, accurately reflects the scoring of equipment quality, and then solve phase
The technical issues of equipment quality of the objective and accurate reflection supplier of score can not directly be passed through in the technology of pass.
Optionally, acquiring unit includes: the first computing module, runs jth for calculating equipment by the first preset formula
The equipment score in year, wherein the first preset formula are as follows: sj=s0+ f × (j-1), sjFor the equipment score in jth year, s0For equipment
Initial value is run, f is step-length, and equipment runs initial value s0It is incremented by with step-length f in arithmetic progression；Second computing module, for passing through the
Two preset formulas calculate the running score after putting equipment in service y, wherein the second preset formula are as follows:SiTo put into operation
Running score after y；Third computing module, for calculating the running score of supplier by third preset formula, wherein the
Three preset formulas are as follows:SΣFor the running score of supplier；4th computing module, for the fortune using supplier
Row score calculates the initial score of supplier.
In this application, the 4th computing module includes: the first computational submodule, is supplied for being calculated by the 4th preset formula
Answer quotient that n occurssSecondary non-the the first deduction of points value stopped, wherein the 4th preset formula are as follows: Ds=ns×ds, DsFor n occurssIt is secondary non-to stop
First deduction of points value, dsThe non-single deduction of points value stopped occurs for equipment；Second computational submodule, based on through the 5th preset formula
It calculates supplier and n occursfSecond deduction of points value of secondary failure, wherein the 5th preset formula are as follows: Df=nf×df, DfFor n occursfIt is secondary non-
The the second deduction of points value stopped, dfFor the single deduction of points value of device fails；Third computational submodule, for passing through the 6th default public affairs
Formula calculates supplier and n occursbpThe third deduction of points value of secondary first order company notification, wherein the 6th preset formula are as follows: Dbp=nbp×
dbp, DbpFor n occursbpThe third deduction of points value of secondary first order company notification, dbpFor the single deduction of points that first order company notification occurs
Value；For calculating supplier by the 7th preset formula n occurs for the 4th computational submodulebsThe 4th of secondary second level company notification
Deduction of points value, wherein the 7th preset formula are as follows: Dbs=nbs×dbs, DbsFor n occursbs4th deduction of points of secondary second level company notification
Value, dbsFor the single deduction of points value that first order company notification occurs；5th computational submodule, for being calculated by the 8th preset formula
N occurs for supplierd5th deduction of points value of secondary corporate family's property defect, wherein the 8th preset formula are as follows: Dd=nd×dd, DdFor hair
Raw nd5th deduction of points value of secondary corporate family's property defect, ddFor the single deduction of points value that corporate family's property defect occurs；6th calculates son
Module, for calculating supply according to the first deduction of points value, the second deduction of points value, third deduction of points value, the 4th deduction of points value and the 5th deduction of points value
The initial score of quotient.
In addition, the 6th above-mentioned computational submodule includes: the 7th computational submodule, for being calculated by the 9th preset formula
The initial score of supplier, wherein the 9th preset formula are as follows:P is the initial of supplier
Score, T are the platform year of the equipment of supplier, and k is deduction of points coefficient.
As another optional example of the application, the detection device of equipment quality further include: the 8th computational submodule is used for
Deduction of points coefficient is calculated by the tenth preset formula, wherein the tenth preset formula:Wherein, k is deduction of points coefficient, and r is that the deduction of points of calculating is total
It is worth (Df+Ds+Dbp+Dbs+Dd) and zero defect running score SpBetween ratio, rmax、rminRespectively all evaluation fineness of equipment
Maximum value and minimum value calculate zero defect running score S by the 11st preset formulap, the 11st preset formula are as follows:
Wherein, computing unit includes: the 5th computing module, flat for calculating equipment supplier by the 12nd preset formula
The lower limit of confidence interval of equal score, wherein the 12nd preset formula are as follows:pdownFor p's
Lower limit of confidence interval, p are the initial score of supplier, and n indicates that sample size, the z that z indicates that corresponding confidence level is 1- α count
Constant.
In the embodiment of the present application, determination unit includes: searching module, for searching target category according to target category
Corresponding classification section；Determining module, for determining that supplier's is each according to classification section and hierarchical categories quantity to be adjusted
The equipment score of a equipment.
According to another aspect of an embodiment of the present invention, a kind of storage medium is additionally provided, storage medium is used to store program,
Wherein, equipment where program controls storage medium when being executed by processor executes the detection of the equipment quality of above-mentioned any one
Method.
According to another aspect of an embodiment of the present invention, a kind of processor is additionally provided, processor is used to run program,
In, program executes the detection method of the equipment quality of above-mentioned any one when running.
The embodiment of the invention provides a kind of equipment, equipment include processor, memory and storage on a memory and can
The program run on a processor, processor perform the steps of the initial of acquisition supplier to be detected and obtain when executing program
Point；The initial score and sample size of supplier are calculated, under the confidence interval of each supplier's average of determination
Limit, wherein lower limit of confidence interval is used to define the target category of each equipment of supplier；According to target category, supply is determined
The equipment score of each equipment of quotient, wherein the quality of equipment score indicating equipment.
Present invention also provides a kind of computer program products, when executing on data processing equipment, are adapted for carrying out just
The program of beginningization there are as below methods step: the initial score of supplier to be detected is obtained；To the initial score and sample of supplier
This capacity is calculated, with the lower limit of confidence interval of each supplier's average of determination, wherein lower limit of confidence interval is for fixed
The target category of each equipment of adopted supplier；According to target category, the equipment score of each equipment of supplier is determined,
In, the quality of equipment score indicating equipment.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
In the above embodiment of the invention, it all emphasizes particularly on different fields to the description of each embodiment, does not have in some embodiment
The part of detailed description, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed technology contents can pass through others
Mode is realized.Wherein, the apparatus embodiments described above are merely exemplary, such as the division of the unit, Ke Yiwei
A kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or components can combine or
Person is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Between coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or communication link of unit or module
It connects, can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
On unit.It can some or all of the units may be selected to achieve the purpose of the solution of this embodiment according to the actual needs.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can for personal computer, server or network equipment etc.) execute each embodiment the method for the present invention whole or
Part steps.And storage medium above-mentioned includes: that USB flash disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), mobile hard disk, magnetic or disk etc. be various to can store program code
Medium.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (10)
1. a kind of detection method of equipment quality characterized by comprising
Obtain the initial score of supplier to be detected；
The initial score and sample size of supplier are calculated, under the confidence interval of each supplier's average of determination
Limit, wherein the lower limit of confidence interval is used to define the target category of each equipment of the supplier；
According to the target category, the equipment score of each equipment of the supplier is determined, wherein the equipment score instruction
The quality of the equipment.
2. the method according to claim 1, wherein the initial score for obtaining supplier to be detected includes:
The equipment score that equipment runs jth year is calculated by the first preset formula, wherein first preset formula are as follows: sj=s0
+ f × (j-1), sjFor the equipment score in jth year, s0Initial value is run for equipment, f is step-length, and the equipment runs initial value s0And step
Long f is incremented by arithmetic progression；
Running score after calculating putting equipment in service y by the second preset formula, wherein second preset formula are as follows:SiFor the running score after the y that puts into operation；
The running score of the supplier is calculated by third preset formula, wherein the third preset formula are as follows:SΣFor the running score of the supplier；
Using the running score of the supplier, the initial score of the supplier is calculated.
3. according to the method described in claim 2, it is characterized in that, using the supplier running score, calculate the confession
The initial score for answering quotient includes:
The supplier is calculated by the 4th preset formula, and n occurssSecondary non-the the first deduction of points value stopped, wherein the described 4th default public affairs
Formula are as follows: Ds=ns×ds, DsFor n occurssSecondary non-the the first deduction of points value stopped, dsThe non-single deduction of points value stopped occurs for equipment；
The supplier is calculated by the 5th preset formula, and n occursfSecond deduction of points value of secondary failure, wherein the described 5th default public affairs
Formula are as follows: Df=nf×df, DfFor n occursfSecondary non-the the second deduction of points value stopped, dfFor the single deduction of points value of device fails；
The supplier is calculated by the 6th preset formula, and n occursbpThe third deduction of points value of secondary first order company notification, wherein institute
State the 6th preset formula are as follows: Dbp=nbp×dbp, DbpFor n occursbpThe third deduction of points value of secondary first order company notification, dbpTo occur
The single deduction of points value of first order company notification；
The supplier is calculated by the 7th preset formula, and n occursbs4th deduction of points value of secondary second level company notification, wherein institute
State the 7th preset formula are as follows: Dbs=nbs×dbs, DbsFor n occursbs4th deduction of points value of secondary second level company notification, dbsTo occur
The single deduction of points value of first order company notification；
The supplier is calculated by the 8th preset formula, and n occursd5th deduction of points value of secondary corporate family's property defect, wherein described
8th preset formula are as follows: Dd=nd×dd, DdFor n occursd5th deduction of points value of secondary corporate family's property defect, ddFor man, company occurs
The single deduction of points value of race's property defect；
According to the first deduction of points value, the second deduction of points value, the third deduction of points value, the 4th deduction of points value and the 5th deduction of points
Value, calculates the initial score of the supplier.
4. according to the method described in claim 3, it is characterized in that, according to the first deduction of points value, the second deduction of points value, institute
Third deduction of points value, the 4th deduction of points value and the 5th deduction of points value are stated, the initial score for calculating the supplier includes:
The initial score of the supplier is calculated by the 9th preset formula, wherein the 9th preset formula are as follows:P is the initial score of the supplier, and T is the platform year of the equipment of the supplier
Number, k are deduction of points coefficient.
5. according to the method described in claim 4, it is characterized in that, calculate the deduction of points coefficient by the tenth preset formula,
In, the tenth preset formula:
Wherein, k is deduction of points coefficient, and r is meter
Deduction of points total value (the D of calculationf+Ds+Dbp+Dbs+Dd) and zero defect running score SpBetween ratio, rmax、rminThe respectively institute of equipment
There are evaluation fineness maximum value and minimum value, zero defect running score S is calculated by the 11st preset formulap, the described 11st is pre-
If formula are as follows:
6. the method according to claim 1, wherein the initial score and sample size to supplier are counted
It calculates, the lower limit of confidence interval with each supplier's average of determination includes:
The lower limit of confidence interval of equipment supplier's average is calculated by the 12nd preset formula, wherein the described 12nd is pre-
If formula are as follows:pdownFor the lower limit of confidence interval of p, p is the initial of supplier
Score, n indicate that sample size, the z that z indicates that corresponding confidence level is 1- α count constant.
7. the method according to claim 1, wherein determining that the supplier's is each according to the target category
The equipment score of a equipment includes:
According to the target category, the corresponding classification section of the target category is searched；
According to the classification section and hierarchical categories quantity to be adjusted, the equipment for determining each equipment of the supplier is obtained
Point.
8. a kind of detection device of equipment quality characterized by comprising
Acquiring unit, for obtaining the initial score of supplier to be detected；
Computing unit is calculated for the initial score and sample size to supplier, averagely with each supplier of determination
The lower limit of confidence interval divided, wherein the lower limit of confidence interval is used to define the target category of each equipment of the supplier；
Determination unit, for determining the equipment score of each equipment of the supplier, wherein institute according to the target category
State the quality that equipment score indicates the equipment.
9. a kind of storage medium, which is characterized in that the storage medium is for storing program, wherein described program is processed
The inspection of equipment quality described in any one of equipment perform claim requirement 1 to 7 device controls the storage medium when executing where
Survey method.
10. a kind of processor, which is characterized in that the processor is for running program, wherein right of execution when described program is run
Benefit require any one of 1 to 7 described in equipment quality detection method.
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