CN110334308A - A kind of calculation method optimizing bias condition in voltage sweep parameter testing - Google Patents
A kind of calculation method optimizing bias condition in voltage sweep parameter testing Download PDFInfo
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Abstract
The invention belongs to automatic test fields；It is related to a kind of calculation method for optimizing bias condition in voltage sweep parameter testing, method includes extracting newest several voltage sweeps parameter testing data, rejects over range data；Several sections will be equidistantly divided into data between maximum value and minimum value；The maximum grouping of data volume is found out, its data cover rate is compared with its threshold value, if being less than threshold value, leftward or rightward grouping is extended, and using the grouping after extension as the maximum grouping of data volume；Temporary bias range is calculated according to grouping situation, its two sides is extended according to fixed expanding value, and using the biasing range after extension as the test bias condition of voltage sweep parameter testing next time；The present invention goes out new test bias condition according to historic test results data operation, testing efficiency can be substantially improved under the premise of not changing existing power supply product sweep parameter test hardware, adapts to test product and haves a wide reach.
Description
Technical field
The invention belongs to automatic test fields；More particularly to bias condition in a kind of optimization voltage sweep parameter testing
Calculation method.
Background technique
In the power supply products such as DC/DC, needs to test input undervoltage there are many product and be switched on or off voltage, input over-voltage
It is switched on or off the sweep parameters such as voltage, frequency lock-in range, output over-voltage protection point, output overcurrent protection point.Test these
When parameter, overvoltage protection usually is inputted according to the setup measures bias conditions such as product data handbook or detail specification, such as certain product
Voltage indexes are 4.8V-5.2V, then general setting test bias condition is that 4.78V-5.22V is tested.But it is typically easy to produce
Raw parameter testing inefficiency, test bias condition cannot be changed once test program publication to be changed with adaptive Product Status
The problems such as.
Summary of the invention
Based on problem of the existing technology, the present invention is surveyed in view of the product of same production batch or continuous production batch
Test result have stronger consistency, and generally concentrate be distributed in it is a certain compared with minizone；Therefore, the invention proposes a kind of optimizations
The calculation method of bias condition in voltage sweep parameter testing, by dividing test product sweep parameter test result
Analysis, processing, calculate test bias condition when test next time in real time, test bias condition range are substantially reduced, thus greatly
Width promotes testing efficiency.
A kind of calculation method optimizing bias condition in voltage sweep parameter testing, comprising the following steps:
Step 1: extracting the historical test data of newest several voltage sweep parameter testings, and it is carried out effectively
Property screening, to reject over range data；
Step 2: being grouped to the efficacy data after screening, between in the data between maximum value and minimum value etc.
Away from being divided into several sections；
Step 3: finding out the maximum grouping of data volume, its data cover rate and its data cover rate threshold value are compared
Compared with if carrying out step 4 less than data cover rate threshold value, otherwise carrying out step 5；
Step 4: grouping to the left or to the right is extended, and using the grouping after extension as maximum point of data volume
Group, return step three；
Step 5: calculating temporary bias range according to grouping situation, the two sides of temporary bias range are expanded according to fixed
Exhibition value is extended, and using the biasing range after extension as the test bias condition of voltage sweep parameter testing next time；
Wherein, voltage sweep parameter includes that input undervoltage is switched on or off voltage, input over-voltage is switched on or off voltage, frequency
Rate locking range, output over-voltage protection point, output overcurrent protect point.
Further, the step 1 includes the database for being connected to storage test result, by querying command according to need
Voltage sweep parameter name to be tested, extract newest several of corresponding parameter tested as a result, and when according to test
Between sequence descending arrange；Determined according to given valid interval range, if the data value read is more than given effective district
Between, then reject the data.
Further, the step 2 includes determining number of packet M, the maximum value and minimum of data in statistic procedure one
Value；It is divided into equidistant M section between maximum value and minimum value range, and calculates the boundary of test data in each section
Value；The test data that will acquire is compared with the boundary value of each grouping one by one, to count data in each grouping
Number.
Further, the calculation formula of data cover rate indicates in step 3 are as follows:
Wherein, Data.Count is the valid data sum that step 1 is extracted, and Group [i] .Cnt is the number of i-th of grouping
According to number, K is the packet number of largest packet, and L is that the group number extended to the left is grouped from K, and R is to be grouped the group number extended to the right from K.
Further, the step 4 the following steps are included:
Step 1) judges that whether there is or not vacant groupings for the left side of largest packet K；If without vacant grouping, to the right by selected grouping item
One group is extended, and using the grouping after extension as the maximum grouping of data volume, return step three；Otherwise it enters step 2)；
Step 2) judges that whether there is or not vacant groupings for the right of largest packet K；If without vacant grouping, to the left by selected grouping item
One group is extended, and using the grouping after extension as the maximum grouping of data volume, return step three；Otherwise it enters step 3)；
Step 3) judges the group number size of the vacant grouping of the right and left, selects to be expanded to the vacant biggish side of grouping
Exhibition extends one group if the vacant grouping on both sides is equal to the left, and using the grouping after extension as the maximum grouping of data volume,
Return step three.
Further, the calculation formula of the biasing range after extending in the step 4 is respectively as follows:
Bias.LowVal=Data.Min+GroupSpan* (K-L-1)-F
Bias.HighVal=Data.Max+GroupSpan* (K+R)+F
Wherein, Bias.LowVal indicates the lower limit value of final test bias condition range；Bias.HighVal indicates final
Test the upper limit value of bias condition range；Data.Min is the minimum value in step 2, and Data.Max is the maximum in step 2
Value, GroupSpan are the spacing of each grouping, and K is the packet number of largest packet, and L is to be grouped the group number extended to the left from K, and F is
Fixed expanding value；R is to be grouped the group number extended to the left from K.
Optionally, it is based on method proposed by the present invention, the invention also provides in a kind of optimization voltage sweep parameter testing
The computing system of bias condition, the system comprises the database of electrical connection, data extraction module, data grouping statistical module with
And calculate bias condition module；
The database is for storing test result；
The data extraction module is used to screen the measurement result extracted storage on the database and carries out data validity
Screening；
The a plurality of data that the data grouping statistical module is used to obtain data extraction module are sentenced by grouping condition
Disconnected and grouping, and for counting the data bulk fallen into each data grouping；
The calculating bias condition module, it is maximum by extension for vouching that a maximum data is grouped according to grouping information
The adjacent packets of grouping calculate new test bias and as test bias conditions next time.
The technical effect that the present invention has:
1, the present invention is not under the premise of changing existing power supply product sweep parameter test hardware, according to historic test results
Testing efficiency can be substantially improved in bias condition data operation is tested out next time when, adapt to test product and have a wide reach, especially
Suitable for automatic test field.
2, the present invention is biased under the premise of not changing existing power supply product sweep parameter test hardware by optimal inspection
Condition, solves such parameter testing inefficiency, test bias condition once test program publication cannot change with it is adaptive
The problem of answering Product Status to change, innovative and practical application meaning with higher.
3, the present invention carries out data statistics using grouping extended mode and data coverage rate calculates, and can quickly determine grouping
The initial position of extension and grouping propagation direction, and calculate more reasonable bias condition range.Meanwhile by calculated inclined
It sets condition and range and the upper appropriate absolute value extension of progress, solves when calculated bias condition range is excessively minimum, it may
Maximum resolution or effective range more than the offset control of test equipment cause test invalidation situation, further improve final
Test the validity of bias condition.
Detailed description of the invention
Fig. 1 is the method flow diagram that the present invention uses；
Fig. 2 is that historical test data flow chart is extracted in the present invention；
Fig. 3 is historical data classified statistic flow chart in the present invention；
Fig. 4 is to calculate new bias condition flow chart in the present invention；
Fig. 5 is test result distribution statistics (frequency) schematic diagram in the present invention；
Fig. 6 is data grouping schematic diagram in the present invention；
Fig. 7 is that coverage rate calculates schematic diagram in the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to of the invention real
The technical solution applied in example is clearly and completely described, it is clear that described embodiment is only that present invention a part is implemented
Example, instead of all the embodiments.
The invention patent is described in detail with reference to the accompanying drawings and embodiments:
As shown in Figure 1, the calculation method that one of present invention optimizes bias condition in voltage sweep parameter testing includes
Following steps:
Step 1: extracting the historical test data of newest several voltage sweep parameter testings, and it is carried out effectively
Property screening, to reject over range data；
Step 2: being grouped to the efficacy data after screening, between in the data between maximum value and minimum value etc.
Away from several sections are divided into, the maximum grouping of data volume is found out；
Step 3: the data cover rate of the maximum grouping of data volume is compared with its data cover rate threshold value, if small
In data cover rate threshold value, then step 4 is carried out, otherwise carries out step 5；
Step 4: grouping to the left or to the right is extended, and using the grouping after extension as maximum point of data volume
Group, return step three；
Step 5: calculating temporary bias range according to grouping situation, the two sides of temporary bias range are expanded according to fixed
Exhibition value is extended, and using the biasing range after extension as the test bias condition of voltage sweep parameter testing next time；
Wherein, voltage sweep parameter includes that input undervoltage is switched on or off voltage, input over-voltage is switched on or off voltage, frequency
Rate locking range, output over-voltage protection point, output overcurrent protect point.
Alternatively, in step 1, test history data step process is extracted as shown in Fig. 2, including passing through
Following steps:
S101, extraction test history data processing start；
S102, connecting test historical data base；
S103, the corresponding stored newest N test data of sweep parameter to be tested is extracted；
S104, data validity detection is executed, to reject invalid data in the data of extraction；
S105, it returns and extracts data.
Specifically, being first connected to the database of storage test result and opening test history database, then pass through knot
Structure query language (SQL) orders the parameter name tested as needed, extracts the knot that the newest N item of corresponding parameter has been tested
Fruit (N value can be fixed value, can also be configured according to different test parameters), and arranged according to testing time sequence descending
Column.To the data of acquisition, determined according to given valid interval range, if the data value read is more than given range,
Reject the data.Until total data processing is completed.
Alternatively, in step 2, historical data classified statistic steps flow chart as shown in figure 3,
S201, packet transaction start；
S202, fixed grouping number M；
The maximum and minimum value in valid data extracted in S203, statistics；
S204, each grouping term boundary condition is calculated；
Data amount check (frequency) in S205, each grouping of statistics, can refer to as shown in Figure 5；
S206, group result is returned.
Specifically, firstly, determining number of packet M.Then, the maximum value and minimum in Statistics Division's first step returned data
Value.Again, equidistant M section is divided between maximum value and minimum value range, and (M value can be for fixed value, can also be according to
It is configured according to different test parameters), and calculate the boundary value in each section.Finally, the data that will acquire one by one with each point
Group compares, and counts data amount check in each grouping, and statistical result is as shown in Figure 6.
Alternatively, step 3~step 5 is considered as new biasing calculating process by the present invention, calculates new biasing
Condition step process as shown in figure 4,
S501, new biasing calculating process start；
S502, largest packet position K is searched；
(X value can be fixed value, can also be set according to different test parameters by S503, fixed minimum data coverage rate X
Set, usually according to product yield and resurvey allow number requirement be set between 0.85~1)；
S504, grouping expansion process；
S505, biasing range is calculated according to the grouping after extension；
S506, biasing range be extended with absolute value F；
S507, biasing range is returned to, as the biasing range after optimization, and the parameter as measurement next time.
Wherein grouping expansion process includes:
Whether S5041, the selected data cover rate Y being grouped are less than its threshold X；
It is as shown in Figure 7 to calculate schematic diagram:
Wherein, Data.Count is the valid data sum that step 1 is extracted, and Group [i] .Cnt is the number of i-th of grouping
According to number, K is the packet number of largest packet, and L is that the group number extended to the left is grouped from K, and R is to be grouped the group number extended to the right from K.
If S5042, being less than its threshold value, judge whether the left side largest packet K expanded set has vacant grouping；
If not having vacant grouping in S5043, step S5042, selected grouping extends to the right one group, at this time R=R+1；
If having vacant grouping in S5404, step S5402, judge whether expanded set has vacant grouping on the right of largest packet K；
If the right expanded set does not have vacant grouping in S5045, step S5404, selected grouping extends to the right one group, at this time
L=L+i；
If S5046, the right and left have vacant grouping, judge whether the vacant grouping in the right is greater than the vacant grouping in the left side；
S5047, the vacant grouping in the right are greater than the vacant grouping in the left side, then extend one group to the right, R=R+i；
S5048, the vacant grouping in the right are not more than the vacant grouping in the left side, then extend one group to the left, L=L+1.
Obviously, when the right and left all without vacant grouping when, data cover rate be 100%.
According to calculated grouping situation, analyzes contain the maximum packet number of data volume in grouping first, then basis
The minimum data coverage rate of setting, by extending set of group every time to largest packet left and right ends and recalculating coverage rate,
When coverage rate reaches requirement, stop extension.Finally, the group situation according to extension calculates biasing range, and to the inclined of calculating
Range two sides are set to carry out after absolute value extension as testing bias condition next time.
To the left and right when expanded packet, if boundary has been arrived in the grouping of certain side, extended to the other side；If two sides have
Vacant grouping (not arriving boundaries of packets), then by the interior side containing plurality evidence of selection expanded packet after judgement or containing identical
Any side is extended when data amount check.
Finally, be used to test using the biasing range after extension as the biasing range after optimization next time.Calculation formula is such as
Shown in lower.
Bias.LowVal=Data.Min+GroupSpan* (K-L-1)-F,
Bias.HighVal=Data.Max+GroupSpan* (K+R)+F,
Wherein, Bias.LowVal indicates the lower limit value of final test bias condition range；Bias.HighVal indicates final
Test the upper limit value of bias condition range；Data.Min is the minimum value in step 2, and Data.Max is the maximum in step 2
Value, GroupSpan are the spacing of each grouping, and K is the packet number of largest packet, and L is to be grouped the group number extended to the left from K, and F is
Fixed expanding value；R is to be grouped the group number extended to the left from K.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can be stored in a computer readable storage medium, storage
Medium may include: ROM, RAM, disk or CD etc..
Embodiment provided above has carried out further detailed description, institute to the object, technical solutions and advantages of the present invention
It should be understood that embodiment provided above is only the preferred embodiment of the present invention, be not intended to limit the invention, it is all
Any modification, equivalent substitution, improvement and etc. made for the present invention, should be included in the present invention within the spirit and principles in the present invention
Protection scope within.
Claims (6)
1. the calculation method of bias condition in a kind of optimization voltage sweep parameter testing, which comprises the following steps:
Step 1: extracting the historical test data of newest several voltage sweep parameter testings, and validity sieve is carried out to it
Choosing, to reject over range data；
Step 2: being grouped to the efficacy data after screening, will equidistantly be drawn between maximum value and minimum value in the data
It is divided into several sections, and finds out the maximum grouping of data volume；
Step 3: the data cover rate of the maximum grouping of data volume is compared with its data cover rate threshold value, if being less than number
According to coverage rate threshold value, then step 4 is carried out, otherwise carries out step 5；
Step 4: grouping to the left or to the right is extended, and using the grouping after extension as the maximum grouping of data volume, return
Return step 3；
Step 5: temporary bias range is calculated according to grouping situation, by the two sides of temporary bias range according to fixed expanding value
It is extended, and using the biasing range after extension as the test bias condition of voltage sweep parameter testing next time；
Wherein, voltage sweep parameter includes that input undervoltage is switched on or off that voltage, to be switched on or off voltage, frequency same for input over-voltage
It walks range, output over-voltage protection point, output overcurrent and protects point.
2. the calculation method of bias condition, feature in a kind of optimization voltage sweep parameter testing according to claim 1
It is, the step 1 includes the database for being connected to storage test result, the power supply tested as needed by querying command
Sweep parameter title, it is that newest several of the corresponding parameter of extraction have tested as a result, and being arranged according to testing time sequence descending
Column；Determined according to given valid interval range, if the data value read is more than given valid interval, rejects this
Data.
3. the calculation method of bias condition, feature in a kind of optimization voltage sweep parameter testing according to claim 1
It is, the step 2 includes determining number of packet M, the maximum value and minimum value of data in statistic procedure one；In maximum value and
It is divided into equidistant M section between minimum value range, and calculates the boundary value of test data in each section；The survey that will acquire
Examination data are compared with the boundary value of each grouping one by one, to count data amount check in each grouping.
4. the calculation method of bias condition, feature in a kind of optimization voltage sweep parameter testing according to claim 1
It is, the calculation formula of data cover rate indicates in step 3 are as follows:
Wherein, Data.Count is the valid data sum that step 1 is extracted, and Group [i] .Cnt is the data of i-th of grouping
Number, K are the packet number of largest packet, and L is that the group number extended to the left is grouped from K, and R is to be grouped the group number extended to the right from K.
5. the calculation method of bias condition, feature in a kind of optimization voltage sweep parameter testing according to claim 1
Be, the step 4 the following steps are included:
Step 1) judges that whether there is or not vacant groupings for the left side of largest packet K；If selected grouping item is extended to the right without vacant grouping
One group, and using the grouping after extension as the maximum grouping of data volume, return step three；Otherwise it enters step 2)；
Step 2) judges that whether there is or not vacant groupings for the right of largest packet K；If selected grouping item is extended to the left without vacant grouping
One group, and using the grouping after extension as the maximum grouping of data volume, return step three；Otherwise it enters step 3)；
Step 3) judges the group number size of the vacant grouping of the right and left, selects to be extended to the vacant biggish side of grouping, if
The vacant grouping on both sides is equal, then extends one group to the left, and using the grouping after extension as the maximum grouping of data volume, returns to step
Rapid three.
6. the calculation method of bias condition, feature in a kind of optimization voltage sweep parameter testing according to claim 1
It is, the calculation formula of the biasing range after extending in the step 4 is respectively as follows:
Bias.LowVal=Data.Min+GroupSpan* (K-L-1)-F
Bias.HighVal=Data.Max+GroupSpan* (K+R)+F
Wherein, Bias.LowVal indicates the lower limit value of final test bias condition range；Bias.HighVal indicates final test
The upper limit value of bias condition range；Data.Min is the minimum value in step 2, and Data.Max is the maximum value in step 2,
GroupSpan is the spacing of each grouping, and K is the packet number of largest packet, and L is to be grouped the group number extended to the left from K, and F is solid
Determine expanding value；R is to be grouped the group number extended to the left from K.
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