CN114779058B - Mainboard detection method, device, equipment and medium for dynamically adjusting item measurement proportion - Google Patents
Mainboard detection method, device, equipment and medium for dynamically adjusting item measurement proportion Download PDFInfo
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Abstract
The application provides a mainboard detection method, a device, equipment and a medium for dynamically adjusting item measurement proportion, wherein the method comprises the following steps: determining a first detection item set and a first detection proportion of a first detection period corresponding to a mainboard to be detected; comparing the first detection proportion with a first threshold value, updating the first detection proportion according to a comparison result, and determining the updated detection proportion; detecting a second detection item set of a second detection period corresponding to the mainboard to be detected according to the updated detection proportion; if the comparison result shows that the first detection proportion is not lower than the first threshold value, updating the first detection proportion based on the first descending trend; if the comparison result is that the first detection proportion is lower than the first threshold value, updating the first detection proportion based on the second descending trend; the first descending trend is larger than the reduction of the second descending trend to the first detection; by the method, the test cost can be reduced and the detection efficiency can be improved under the condition of detecting the requirement of the yield.
Description
Technical Field
The present application relates to the field of motherboard testing technologies, and in particular, to a motherboard testing method, apparatus, device, and medium for dynamically adjusting a test item ratio.
Background
A Printed Circuit Board (PCB) is a provider of electrical connections for electronic components. With the increasing development of semiconductor design and manufacturing technology, printed circuit boards are also developed toward ultra-thin type, high density, multi-layer, high performance, etc. Defects can result because printed circuit boards are subject to many uncertainties during the manufacturing process.
Therefore, various quality-related tests are required for printed circuit boards during the production process. But if all the test items are tested, the test cost is high. Therefore, when the printed circuit board is applied to a mainboard of a notebook computer, a part of test items of the mainboard are tested according to the preset allowable defective product number (DPM) per million as a basis by default, but the test item proportion of the notebook mainboard is only manually adjusted based on experience, and the timeliness is lacked.
Disclosure of Invention
The application provides a mainboard detection method, a mainboard detection device, mainboard detection equipment and a mainboard detection medium for dynamically adjusting item measurement proportion, and aims to at least solve the technical problems in the prior art.
According to a first aspect of the embodiments of the present application, a motherboard detection method for dynamically adjusting a test item ratio is provided, the method including: determining a first detection item set and a first detection proportion of a first detection period corresponding to a mainboard to be detected, wherein the first detection item set comprises at least one first detection item; comparing the first detection proportion with a first threshold value, updating the first detection proportion according to a comparison result, and determining the updated detection proportion; detecting a second detection item set of a second detection period corresponding to the mainboard to be detected according to the updated detection proportion, wherein the second detection item set comprises at least one second detection item; if the comparison result is that the first detection proportion is not lower than the first threshold value, updating the first detection proportion based on a first descending trend; if the comparison result is that the first detection proportion is lower than the first threshold value, updating the first detection proportion based on a second descending trend; the reduction of the first detection proportion by the first downward trend is larger than the reduction of the first detection proportion by the second downward trend.
In an implementation manner, after the determining the first detection item set and the first detection proportion of the first detection period corresponding to the main board to be detected, the method further includes: determining a corresponding first detection probability according to the first detection proportion; determining whether the first detection item set needs to be detected or not according to the first detection probability; and if the first detection item set is determined to need to be detected, determining whether to detect a second detection item set according to a detection result corresponding to the first detection item set.
In one embodiment, after the determining that the first set of test items requires testing, the method further comprises: if the detection results corresponding to all the first detection items are qualified, detecting the second detection item set; if the detection result corresponding to any first detection item is unqualified, initializing the first detection proportion, determining the initial detection proportion, and adjusting the first threshold value according to the first detection proportion to obtain a second threshold value; and detecting a third detection item set according to the second threshold value and the initial detection proportion.
In an implementation manner, after the detection result corresponding to any one of the first detection items is a detection failure, the method further includes: and determining a third detection item set corresponding to the first detection item which is unqualified in detection according to a locality principle.
In an embodiment, the updating the first detection proportion based on the first downward trend includes: recording the round of each detection period of the mainboard to be detected to determine a first period round corresponding to a first detection period; determining a first reduction value according to the first cycle and a preset first reduction parameter; reducing the first detection proportion through the first reduction value to determine a first candidate proportion; determining a second candidate proportion according to the first threshold value; and comparing the first candidate proportion with the second candidate proportion, and determining the candidate proportion with a smaller value as a second detection proportion.
In an embodiment, the updating the first detection ratio based on the second downward trend includes: reducing the first detection proportion through a preset second reduction value to determine a third candidate proportion; and comparing the third candidate proportion with a preset lowest candidate proportion, and determining the candidate proportion with a larger value as a third detection proportion.
In an implementation manner, in the case that the lowest candidate ratio is a candidate ratio with a larger value, the method further includes: determining a cycle turn of a detection cycle corresponding to the lowest candidate ratio; if the cycle number meets a preset cycle threshold, reducing the lowest candidate proportion to obtain a fourth detection proportion; and detecting the detection items of the next detection period according to the fourth detection proportion.
According to a second aspect of the embodiments of the present application, there is provided a motherboard detecting apparatus for dynamically adjusting a test item ratio, the apparatus including: the device comprises a determining module, a judging module and a judging module, wherein the determining module is used for determining a first detection item set and a first detection proportion of a first detection period corresponding to a mainboard to be detected, and the first detection item set comprises at least one first detection item; the updating module is used for comparing the first detection proportion with a first threshold value, updating the first detection proportion according to a comparison result and determining the updated detection proportion; the detection module is used for detecting a second detection item set of a second detection period corresponding to the mainboard to be detected according to the updated detection proportion, and the second detection item set comprises at least one second detection item; if the comparison result shows that the first detection proportion is not lower than the first threshold value, updating the first detection proportion based on a first descending trend; if the comparison result is that the first detection proportion is lower than the first threshold value, updating the first detection proportion based on a second descending trend; the reduction of the first detection proportion by the first downward trend is larger than the reduction of the first detection proportion by the second downward trend.
In one embodiment, the determining module includes: determining a corresponding first detection probability according to the first detection proportion; determining whether the first detection item set needs to be detected or not according to the first detection probability; and if the first detection item set needs to be detected, determining whether to detect a second detection item set according to a detection result corresponding to the first detection item set.
In an implementation manner, the detection module is further configured to detect the second detection item if the detection results corresponding to all the first detection items are qualified for detection; the device further comprises: the initialization module is used for initializing the first detection proportion, determining an initial detection proportion and adjusting the first threshold value to obtain a second threshold value if the detection result corresponding to any one of the first detection items is unqualified; the determining module is further configured to detect a third detection item set according to the second threshold and the initial detection ratio.
In an implementation manner, the determining module is further configured to determine, according to a principle of locality, a third detection item set corresponding to the first detection item that is not qualified in the detection.
In one embodiment, the update module includes: the recording submodule is used for recording the round of each detection period of the mainboard to be detected so as to determine the round of a first period corresponding to the first detection period; the determining submodule is used for determining a first reduction value according to the first cycle and a preset first reduction parameter; a reduction submodule configured to reduce the first detection ratio by the first reduction value, and determine a first candidate ratio; the determining submodule is further configured to determine a second candidate proportion according to the first threshold value; and the comparison submodule is used for comparing the first candidate proportion with the second candidate proportion and determining the candidate proportion with a smaller value as the second detection proportion.
In an implementation manner, the reduction sub-module is further configured to reduce the first detection ratio by a preset second reduction value, and determine a third candidate ratio; the comparison submodule is further configured to compare the third candidate proportion with a preset lowest candidate proportion, and determine a candidate proportion with a larger value as a third detection proportion.
In an embodiment, the determining sub-module is further configured to determine a cycle turn of the detection cycle corresponding to the lowest candidate ratio; the reduction submodule is further configured to reduce the lowest candidate proportion to obtain a fourth detection proportion if the cycle turn meets a preset cycle threshold; and the detection module is also used for detecting the detection items of the next detection period according to the fourth detection proportion.
According to a third aspect of the present application, there is provided an electronic device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method described herein.
According to a fourth aspect of the present application, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method described herein.
According to the mainboard detection method, the device, the equipment and the medium for dynamically adjusting the test item ratio, the first detection ratio corresponding to the first detection period is compared with the first threshold value to determine the downward trend of the ratio adjustment corresponding to the first detection ratio, the first detection ratio is updated through the specific downward trend to determine the updated detection ratio, and the updated detection ratio is used for detecting the second detection item set of the second detection period, so that the mainboard detection method for dynamically adjusting the test item ratio is realized, the test cost can be reduced under the condition of detecting the requirement of the yield, and the detection efficiency is improved.
It should be understood that the statements in this section are not intended to identify key or critical features of the embodiments of the present application, nor are they intended to limit the scope of the present application. Other features of the present application will become apparent from the following description.
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The above and other objects, features and advantages of exemplary embodiments of the present application will become readily apparent from the following detailed description read in conjunction with the accompanying drawings. Several embodiments of the present application are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:
in the drawings, like or corresponding reference characters designate like or corresponding parts.
Fig. 1 is a schematic diagram illustrating an implementation flow of a mainboard detection method for dynamically adjusting a test item ratio according to an embodiment of the present application;
fig. 2 is a schematic diagram illustrating an implementation module of a mainboard detection apparatus for dynamically adjusting a test item ratio according to an embodiment of the present application;
fig. 3 shows a schematic block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, features and advantages of the present application more obvious and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
Fig. 1 shows a schematic flow chart of an implementation of a mainboard detection method for dynamically adjusting a test item ratio according to an embodiment of the present application.
Referring to fig. 1, according to a first aspect of the embodiments of the present application, there is provided a motherboard detection method for dynamically adjusting a test item ratio, the method including: operation 101, determining a first detection item set and a first detection proportion of a first detection period corresponding to a mainboard to be detected, where the first detection item set includes at least one first detection item; operation 102, comparing the first detection ratio with a first threshold, updating the first detection ratio according to a comparison result, and determining an updated detection ratio; operation 103, detecting a second detection item set of a second detection period corresponding to the to-be-detected mainboard according to the updated detection ratio, where the second detection item set includes at least one second detection item; if the comparison result is that the first detection proportion is not lower than the first threshold value, updating the first detection proportion based on the first descending trend; if the comparison result is that the first detection proportion is lower than the first threshold value, updating the first detection proportion based on the second descending trend; the reduction of the first downward trend to the first detection ratio is larger than the reduction of the second downward trend to the first detection ratio.
The mainboard detection method for dynamically adjusting the test item proportion provided by the embodiment of the application compares the first detection proportion corresponding to the first detection period with the first threshold value to determine the proportion descending trend corresponding to the first detection proportion, updates the first detection proportion through the proportion descending trend to determine the updated detection proportion, and detects the detection items of the second detection period by using the updated detection proportion, thereby realizing the mainboard detection method for dynamically adjusting the test item proportion, and achieving the effects of reducing the test cost and improving the detection efficiency under the condition that every million allowable defective products meet the detection requirements. The first detection period and the second detection period may be used to characterize a current detection period and a next detection period corresponding to the current detection period.
Specifically, the method is suitable for dynamic adjustment of the test items of the notebook mainboard, the test items of the notebook mainboard are divided into necessary test items and unnecessary test items, and the necessary test items are used for representing the test items with the test probability of 100%, namely representing the items which need to be tested of each notebook mainboard. The detection probability of the unnecessary detection items can be dynamically adjusted according to specific test conditions, namely the unnecessary detection items are used for representing the detection items with the detection probability of not 100%. It is understood that, since the detection probability of the unnecessary detection items is not 100%, the overall detection proportion of all the unnecessary detection items is also not 100%.
In the method operation 101, the first detection item set is an unnecessary detection item set. Each detection period may contain at least one unnecessary detection item. For example, assuming that 2000 unnecessary detection items exist in a motherboard, if each detection period is set to include 1 unnecessary detection item, the detection period corresponding to the motherboard after the test is completed is 2000 periods; if each detection period is set to contain 2 unnecessary detection items, the detection period corresponding to the mainboard after the test is finished is 1000 periods.
The detection proportion is used for representing the proportion of items detected in all unnecessary detection items, and the total number of the unnecessary detection items of the method can be calculated by using the main board as a unit, and can also be calculated by using other units. For example, in the case of a motherboard as a unit, the total number of unnecessary inspection items corresponding to each motherboard is 2000, and the actual inspection is 200, and the inspection ratio is 10%. In another case, for example, the total number of unnecessary test items processed per hour and the total number of actual tests are calculated in units of time to determine the test ratio, for example, the total number of unnecessary test items processed by the apparatus applying the method in a preset time is 2000, the total number of actual tests is 200, and the test ratio is 10%.
In the method operation 101, a detection ratio is dynamically adjusted according to a detection period based on the method, and based on this, a detection ratio corresponding to each period of the method dynamically changes, the method determines a current detection item and a current detection ratio corresponding to a current detection period in each detection period, that is, determines a first detection item and a first detection ratio of a first detection period, where the current detection item may be determined according to a preset item detection sequence table, the current detection ratio is determined according to a detection ratio updated in a previous detection period, and if there is no previous detection period, the current detection ratio is determined according to a preset initial detection ratio.
In operation 102, the method dynamically adjusts the detection ratio at least includes comparing the first threshold value with the first detection ratio by using a first downward trend adjustment and a second downward trend adjustment to determine whether the dynamic adjustment of the first detection ratio is based on the first downward trend adjustment or the second downward trend adjustment. Specifically, if the comparison result is that the first detection proportion is not lower than the first threshold value, updating the first detection proportion based on the first descending trend; and if the comparison result shows that the first detection proportion is lower than the first threshold value, updating the first detection proportion based on the second descending trend. The first threshold may be set according to an actual situation, and specifically, may be set according to a data characteristic of an unnecessary detection item, a data characteristic of a motherboard, and a detection efficiency that is to be achieved. For example, if the defect locality of some mainboards is stronger, the period of occurrence of adjacent defects is shorter, and the first threshold value can be set lower, so that the overall ratio of the second descending trend is compressed, and the algorithm can realize rapid detection on adjacent unnecessary detection items. The first threshold value is mainly used for separating a first descending trend and a second descending trend, the reduction of the first descending trend to the first detection proportion is larger than the reduction of the second descending trend to the first detection proportion, the first descending trend can be used for rapidly reducing the detection proportion, the second descending trend is used for slowly reducing the detection proportion, therefore, the missed detection of defect items is avoided as far as possible, under the condition that the required number of defective products is allowed per million, the rapid reduction, the slow reduction and the overall dynamic adjustment of the mainboard detection proportion are pertinently realized according to the first threshold value, the test cost is reduced, and the detection efficiency is improved.
In the method operation 103, it is to be understood that the detection ratio is used to refer to the test ratio of the whole test item of the current cycle, and the scale of the whole is described. The item detection probability is used for indicating that in the actual implementation process of the algorithm, detection is performed according to the detection probability for each detection item to be detected in each detection period. Generally, a mapping relation exists between the detection probability of a single detection item and the detection proportion of the overall detection scale, for example, the value of the detection probability and the value of the detection proportion are generally consistent, and based on this, after the updated detection proportion is obtained, the method can determine the detection probability of the next detection period according to the updated detection proportion, and then detect the second detection item of the next detection period by using the detection probability of the next detection period. It should be noted that the first detection item and the second detection item of the method are only used for distinguishing in terms of expression and are used for representing different item contents, the first detection item and the second detection item are both used for representing one of the detection items to be detected, and are not particularly limited to a specific item, and correspondingly, there may be a plurality of detection items in each detection period.
In an implementation manner, after the operation 101 is executed to determine the first detection item and the first detection ratio of the first detection period corresponding to the motherboard to be detected, the method further includes: firstly, determining a corresponding first detection probability according to a first detection proportion; then, determining whether the first detection item set needs to be detected or not according to the first detection probability; and then, if the first detection item set needs to be detected, determining whether to detect the second detection item set according to a detection result corresponding to the first detection item set.
The method achieves the purpose of adjusting the detection proportion according to the detection probability corresponding to each detection item in the specific implementation process. A series of detection items are tested according to specific detection probability, and the detection proportion of the series of detection items is approximately equal to the proportion obtained by the distribution of the detection probability of the series of detection items. Based on this, the method can determine the corresponding first detection probability according to the first detection proportion, and according to the actual situation, the method can preset a specific proportion coefficient to realize the conversion between the detection proportion and the detection probability, such as: the specific scale factor is 1, the detection probability and the detection scale are equal in value. After the first detection probability is determined, the method carries out probability calculation on the first detection item through the first detection probability to determine whether the first detection item needs to be detected or not, if the first detection item needs to be detected, after item detection is finished, whether detection of a second detection item is carried out or not is determined according to a detection result corresponding to the first detection item.
In one implementation, operation 102 may be performed synchronously during the detection of the first detection item to determine an updated detection ratio. In the process, if the detection results corresponding to all the first detection items are qualified, all the second detection items are detected according to the updated detection proportion.
It should be understood that, according to the locality principle, the defects corresponding to the adjacent unnecessary detection items have aggregativeness, that is, if the current detection item is qualified, the qualified probability of the unnecessary detection item adjacent to the current detection item is greater than the unqualified probability; and if the current detection item is unqualified, the unqualified probability of the unnecessary detection item adjacent to the current detection item is greater than the qualified probability. Therefore, according to the method, after the detection results corresponding to all the first detection items are qualified, the first detection proportion is reduced through the adjustment method provided by the application, so that the detection probability of a detection period is reduced, the reduction of the whole detection proportion is realized, and the purpose of improving the detection efficiency on the premise of ensuring the requirement of good detection products is achieved.
In another implementation, in the detecting process of the first detecting item, the operation 102 may be executed synchronously, and the second detecting item of the second detecting period is directly detected according to the updated detecting proportion, that is, the detecting item of the second detecting period may be directly detected without determining the detecting result of the first detecting item. By analogy, the detection proportion of the next period is updated according to the detection proportion of each detection period, and the detection items corresponding to the detection proportion of the next period are detected by using the detection proportion of the next period, which is not described in detail below.
In the process, if the detection results corresponding to all the first detection items are qualified, it can be determined that the detection of all the detection items in the first detection period is completed; if the detection result corresponding to any one first detection item is unqualified, a third detection item set corresponding to the first detection item needs to be determined according to the locality principle. The number of detection items that fail to be detected may be plural, and the number of corresponding third detection item sets may be plural.
In an implementation manner, when there is a detection result corresponding to any one of the first detection items that is a detection failure, the method further includes: firstly, determining a third detection item corresponding to the first detection item according to a locality principle; then, the third detection item is detected according to the initial detection proportion.
According to the principle of locality of the main board, the distribution of the detection items with unqualified detection results is not uniform, and a local aggregation phenomenon exists. Based on the method, the third detection item corresponding to the first detection item can be determined according to the locality principle, namely, the third detection item set which is gathered in the circumferential direction of the first detection item is determined according to the locality principle. The third set of test items can include one or more third test items. According to the principle of locality, the third detection item may be a detection item with a high association with the first detection item; the third detection item can also be a detection item in which the mainboard positions corresponding to the first detection item are gathered in a specified continuous area. According to the locality principle, under the condition that the first detection item is unqualified in detection, the probability that the third detection item meeting the locality principle is unqualified in detection is improved.
And when the detection result corresponding to the first detection item is unqualified, initializing the first detection proportion, and adjusting the first detection proportion to the initial detection proportion. In the first execution process of the method, each parameter needs to be initialized, and the parameters include, but are not limited to, an initial detection ratio, a parameter corresponding to a first downward trend, a parameter corresponding to a second downward trend, a threshold value, a detection period parameter, and the like.
In an implementable scenario, during a first execution of the method, the initialized unnecessary detection items correspond to various types of parameters as follows: setting the initial detection ratio to R Initial = 100%; setting a first threshold value S = 25%; setting the number of detection items corresponding to each detection period t as 2; the calculation formula for setting the first downward trend is as follows: r 2 =min(R 1 -q1×2 t1 S), wherein R 1 The detection proportion of the current detection period is used for representing that the detection proportion is not lower than a first threshold value; r 2 For characterizing R 1 The detection proportion of the corresponding next detection period; min (R) 1 -q1×2 t1 S) is used for representing a first downward trend; setting the formula of the second downward trend to R 4 =max（R 3 -q2，L）， R 3 The detection proportion of the current detection period is used for representing that the detection proportion is lower than a first threshold value; r 4 For characterizing R 3 The detection proportion of the corresponding next detection period; max (R) 3 -q2, L) for characterizingTwo trends are downward.
When the detection result corresponding to the first detection item is unqualified, initializing the first detection proportion into an initial detection proportion, and according to the actual situation, initializing the R 2 Or R 4 The adjustment was made to 100%. Adjusting the first threshold value according to the first detection proportion to obtain a second threshold value; the adjusted parameters may also be set during initialization, for example, setting the adjustment formula as: s = R × 2, where R denotes a corresponding detection ratio in the case of detection failure.
And then, determining a threshold value and a detection proportion corresponding to the detection item of the next detection period according to the second threshold value and the initial detection proportion. For example, if the detection result corresponding to the detection item of the current detection cycle is that the detection is not qualified, the detection ratio of the current detection cycle is 30%, the detection ratio of the next detection cycle is set to 100% by initializing the detection ratio, and the second threshold value is 30% × 2=60% by the formula S = R × 2. The second threshold value is increased through a formula, the range of the rapid descending stage corresponding to the first descending trend can be compressed, and therefore missing detection is avoided.
In one embodiment, the updating the first detection ratio based on the first downward trend includes: firstly, recording the round of each detection period of a mainboard to be detected to determine the round of the detection period of the current detection period; then, determining a first reduction value according to the detection period turn and the first reduction parameter; then, reducing the first detection proportion through a first reduction value to determine a first candidate proportion; then, determining a second candidate proportion according to the first threshold value; and finally, comparing the first candidate proportion with the second candidate proportion, and determining the candidate proportion with a smaller value as a second detection proportion.
For ease of understanding, R is used hereinafter 2 =min(R 1 -q1×2 t1 S), the first downward trend will be explained as an example. In the formula, the content of the active carbon is shown in the formula,
R 1 the detection proportion of the current detection period is used for representing that the detection proportion is not lower than a first threshold value;
R 2 for characterizing the corresponding R 1 The detection ratio of the next detection period of (1);
t1 is used to characterize the current round of detection;
q1 is used for representing a first reduction value, the first reduction value can be set according to actual conditions, and the method can be preset to be 1%;
R 1 -q1×2 t1 a first candidate proportion for characterizing a current detection period;
s is used for representing a first threshold value, the method takes the data characteristics of unnecessary detection items, the data characteristics of the mainboard and the detection efficiency to be achieved as the basis, and S is preset to be 25%.
By the formula, the detection proportion of the next detection period can be obtained, namely when R is 1 For characterizing the first detection ratio, the second detection ratio R can be determined using this formula 2 。
According to the formula, the first candidate proportion is compared with the first threshold value, the minimum value between the first candidate proportion and the first threshold value is taken, the detection proportion of the next detection period can be reduced to be close to the first threshold value at a high speed, the detection probability is reduced rapidly, and the detection efficiency is improved.
In an embodiment, the updating the first detection ratio based on the second downward trend includes: firstly, reducing a first detection ratio through a preset second reduction value, and determining a third candidate ratio; then, the third candidate ratio is compared with a preset lowest candidate ratio, and the candidate ratio with a larger value is determined as the third detection ratio.
For ease of understanding, R is used hereinafter 4 =max（R 3 -q2, L) for example, the first downward trend is explained. In the formula, the content of the active carbon is shown in the formula,
R 3 the detection proportion of the current detection period is used for representing that the detection proportion is lower than a first threshold value;
R 4 for characterizing R 3 The detection proportion of the corresponding next detection period;
q2 is used for representing a second reduction value, the second reduction value can be set according to actual conditions, and the method can be preset to be 1%;
l is used to characterize the lowest candidate proportion, and the method may be set to 20%.
By the formula, the detection ratio of the next detection period can be obtained, namely when R 3 For the representation of the third detection ratio, the fourth detection ratio R can be determined using this formula 4 。
According to the formula, the third candidate proportion is compared with the lowest candidate proportion, the maximum value between the third candidate proportion and the lowest candidate proportion is taken, the detection proportion of the next detection period can be enabled to be close to the lowest candidate proportion at a slower speed, the detection probability is lowered slowly, and the omission of unqualified detection items is avoided.
It should be noted that, in the method, the formula for the first downward trend and the formula for the second downward trend may be adjusted according to actual conditions, and it is only necessary that the downward amount of the first downward trend is greater than the downward amount of the second downward trend.
In an implementation manner, in the case that the lowest candidate ratio is a candidate ratio with a larger value, the method further includes: firstly, determining the cycle turn of the detection cycle corresponding to the lowest candidate proportion; then, if the cycle turns meet a preset cycle threshold, reducing the lowest candidate proportion to obtain a fourth detection proportion; and then, detecting the detection items of the next detection period according to the fourth detection proportion.
In order to further improve the detection efficiency, the method is further provided with a fourth detection proportion, namely, under the condition that the detection items are detected through the lowest candidate proportion when the detection periods meeting the preset period threshold value, namely, in the process, the condition that the detection items are not qualified does not occur, at the moment, the R can be further reduced to improve the detection efficiency, and a formula for reducing the lowest candidate proportion can be set as follows: n is a radical of 2 =N 1 +1, if N 2 R > 20, then 5 = L × 0.5. Wherein N is 1 For representing successive test results as a pass corresponding to the qualified current test period, N 2 For representing the round corresponding to the next qualified detection cycle, i.e. the safety detection cycle, R 5 For characterizing the fourth detection ratio. And then, detecting the detection items of the subsequent detection period at a fourth detection ratio, wherein when any period is unqualified, the detection ratio is initialized, the threshold value is adjusted, and the detection items related to the unqualified detection items are detected according to a locality principle.
The above formula is emphasized that R is 1 、R 2 、R 3 、R 4 、R 5 All parameters are used to characterize the same general concept and are given different nomenclature for easy understanding. In the same way, N 1 And N 2 Are also used to characterize parameters of the same substantial concept.
It is emphasized that, based on the method, the detection ratio and the detection probability are the same value, when the method finds one of the parameters of the detection probability or the detection ratio, the other parameter can be determined.
To facilitate further understanding of the above embodiments, a specific implementation scenario is provided below for description.
In this specific implementation scenario, the method is applied to a motherboard detection pipeline, and when the pipeline starts to operate, the following parameters are initialized: non-essential measurement item initial detection proportion R Initial =100%, the decrement q1=1%, the first threshold value S =25%, the lower limit of the detection ratio of the unneeded item L =15%, the cache undetected item F =0, and the detection cycle N of the lowest candidate ratio Initiation of =0, detection period t Initiation of =0。
Then, the main board is detected, the initial detection proportion R =100% is used as a first round detection proportion parameter, the first round detection probability is determined to be 100% according to the initial detection proportion, and the detection items of the first round are detected according to the detection probability. Meanwhile, as the first round detection probability is 100% larger than the first threshold value, the detection proportion of the second round is calculated according to the first descending trend, the detection probability of the second round is determined according to the detection proportion of the second round, and the detection items of the second round are detected, and so on. In the process, if the detection result is qualified all the time, the detection proportion obtained by calculation gradually decreases to be lower than a first threshold value.
And under the condition that the detection proportion is lower than the first threshold value, calculating the detection proportion of the next round according to the second descending trend, determining the corresponding detection probability, detecting the detection items of the next round, and so on, wherein if the detection result is qualified all the time, the value of the detection proportion is the lowest candidate proportion all the time.
In this case, if N > a predetermined period threshold, e.g., N > 20, the lowest candidate ratio is further reduced to obtain a fast detection ratio. And similarly, carrying out subsequent detection by utilizing the rapid detection proportion.
In the detection process, if the detection result of any detection item in any detection period is unqualified, the parameters are initialized, and the threshold value is determined again according to the current detection proportion of the current detection period.
It will be appreciated that the above steps may be performed in a loop until all tests are completed.
Based on the above embodiment, the detection process is simulated, and the simulation results are shown in the following table:
wherein the DPM is used for characterizing the number of allowable defective products per million.
Based on the scheme, the method utilizes the first threshold value and the lowest candidate proportion to realize dynamic adjustment of the detection proportion, determines unnecessary detection items with higher unqualified probability and detects the unnecessary detection items according to the locality principle, and avoids missing detection, so that the detection proportion is reduced and the cost is saved under the condition of ensuring the detection accuracy.
Fig. 2 shows a schematic diagram of an implementation module of a motherboard detection apparatus for dynamically adjusting a test item ratio according to an embodiment of the present application.
Referring to fig. 2, according to a second aspect of the embodiments of the present application, there is provided a motherboard detecting apparatus for dynamically adjusting a test item ratio, the apparatus including: the determining module 201 is configured to determine a first detection item set and a first detection ratio of a first detection period corresponding to a main board to be detected, where the first detection item set includes at least one first detection item; an updating module 202, configured to compare the first detection ratio with a first threshold, update the first detection ratio according to a comparison result, and determine an updated detection ratio; the detection module 203 is configured to detect a second detection item set of a second detection period corresponding to the mainboard to be detected according to the updated detection ratio, where the second detection item set includes at least one second detection item; if the comparison result shows that the first detection proportion is not lower than the first threshold value, updating the first detection proportion based on the first descending trend; if the comparison result shows that the first detection proportion is lower than the first threshold value, updating the first detection proportion based on the second descending trend; the reduction of the first downward trend to the first detection ratio is larger than the reduction of the second downward trend to the first detection ratio.
In one embodiment, the determining module 201 includes: determining a corresponding first detection probability according to the first detection proportion; determining whether the first detection item set needs to be detected or not according to the first detection probability; and if the first detection item set is determined to need to be detected, determining whether to detect the second detection item set according to a detection result corresponding to the first detection item set.
In an implementation manner, the detection module 203 is further configured to detect the second detection item if the detection results corresponding to all the first detection items are qualified for detection; the device still includes: the initialization module 204 is configured to initialize the first detection proportion, determine an initial detection proportion, and adjust the first threshold value to obtain a second threshold value if the detection result corresponding to any one of the first detection items is that the detection is not qualified; the determining module 201 is further configured to detect a third detection item set according to the second threshold and the initial detection ratio.
In an implementation manner, the determining module 201 is further configured to determine a third detection item set corresponding to the first detection item that is not qualified in detection according to a locality principle.
In one embodiment, the update module 202 includes: the recording submodule 2021 is configured to record a round of each detection period of the motherboard to be detected, so as to determine a first cycle round corresponding to the first detection period; a determining submodule 2022, configured to determine a first reduction value according to the first cycle and a preset first reduction parameter; a reduction sub-module 2023, configured to reduce the first detection ratio by the first reduction value, and determine a first candidate ratio; the determining sub-module 2022 is further configured to determine a second candidate proportion according to the first threshold value; the comparison sub-module 2024 is configured to compare the first candidate ratio with the second candidate ratio, and determine the candidate ratio with a smaller value as the second detection ratio.
In an implementation, the reduction sub-module 2023 is further configured to reduce the first detection ratio by a preset second reduction value, and determine a third candidate ratio; the comparing sub-module 2024 is further configured to compare the third candidate ratio with a preset lowest candidate ratio, and determine a candidate ratio with a larger value as the third detection ratio.
In an implementation, the determining sub-module 2022 is further configured to determine a cycle turn of the detection cycle corresponding to the lowest candidate ratio; the reduction sub-module 2023 is further configured to reduce the lowest candidate proportion to obtain a fourth detection proportion if the cycle turns satisfy the preset cycle threshold; the detecting module 203 is further configured to detect a detection item of a next detection period according to the fourth detection proportion.
According to an embodiment of the present application, an electronic device and a readable storage medium are also provided.
FIG. 3 shows a schematic block diagram of an example electronic device that may be used to implement embodiments of the present application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic devices may also represent various forms of mobile devices, such as personal digital processors, cellular telephones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the applications described and/or claimed herein.
As shown in fig. 3, the apparatus 300 includes a computing unit 301 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 302 or a computer program loaded from a storage unit 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data necessary for the operation of the device 300 can also be stored. The computing unit 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
Various components in device 300 are connected to I/O interface 305, including: an input unit 306 such as a keyboard, a mouse, or the like; an output unit 307 such as various types of displays, speakers, and the like; a storage unit 308 such as a magnetic disk, optical disk, or the like; and a communication unit 309 such as a network card, modem, wireless communication transceiver, etc. The communication unit 309 allows the device 300 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The computing unit 301 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The computing unit 301 performs the methods and processes described above, such as a motherboard detection method that dynamically adjusts the scale of the test items. For example, in some embodiments, a motherboard detection method that dynamically adjusts the test term ratio may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 308. In some embodiments, part or all of the computer program may be loaded and/or installed onto device 300 via ROM 302 and/or communication unit 309. When loaded into RAM 303 and executed by computing unit 301, a computer program may perform one or more of the steps of a motherboard detection method of dynamically adjusting a test term ratio as described above. Alternatively, in other embodiments, the computing unit 301 may be configured to perform a mainboard detection method that dynamically adjusts the scale of the test term in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present application may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this application, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server with a combined blockchain.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (11)
1. A mainboard detection method for dynamically adjusting item measurement proportion is characterized by comprising the following steps:
determining a first detection item set and a first detection proportion of a first detection period corresponding to a mainboard to be detected, wherein the first detection item set comprises at least one first detection item;
comparing the first detection proportion with a first threshold value, updating the first detection proportion according to a comparison result, and determining the updated detection proportion;
detecting a second detection item set of a second detection period corresponding to the mainboard to be detected according to the updated detection proportion, wherein the second detection item set comprises at least one second detection item;
if the comparison result shows that the first detection proportion is not lower than the first threshold value, updating the first detection proportion based on a first descending trend; if the comparison result is that the first detection proportion is lower than the first threshold value, updating the first detection proportion based on a second descending trend; the reduction of the first downward trend to the first detection proportion is larger than the reduction of the second downward trend to the first detection proportion;
the first detection item is an unnecessary detection item, and the second detection item is an unnecessary detection item adjacent to the first detection item and determined according to a locality principle.
2. The method of claim 1, wherein the updating the first detection ratio based on the first downward trend comprises:
recording the round of each detection period of the mainboard to be detected to determine a first period round corresponding to a first detection period;
determining a first reduction value according to the first cycle and a preset first reduction parameter;
reducing the first detection proportion through the first reduction value to determine a first candidate proportion;
determining a second candidate proportion according to the first threshold value;
and comparing the first candidate proportion with the second candidate proportion, and determining the candidate proportion with a smaller value as a second detection proportion.
3. The method of claim 1, wherein the updating the first detection ratio based on the second decreasing trend comprises:
reducing the first detection proportion through a preset second reduction value to determine a third candidate proportion;
and comparing the third candidate proportion with a preset lowest candidate proportion, and determining the candidate proportion with a larger value as a third detection proportion.
4. The method of claim 3, wherein in the case that the lowest candidate proportion is a numerically larger candidate proportion, the method further comprises:
determining a cycle turn of a detection cycle corresponding to the lowest candidate ratio;
if the cycle number meets a preset cycle threshold, reducing the lowest candidate proportion to obtain a fourth detection proportion;
and detecting the detection items of the next detection period according to the fourth detection proportion.
5. A mainboard detection method for dynamically adjusting item measurement proportion is characterized by comprising the following steps:
determining a first detection item set and a first detection proportion of a first detection period corresponding to a mainboard to be detected, wherein the first detection item set comprises at least one first detection item;
determining a corresponding first detection probability according to the first detection proportion;
determining whether the first detection item set needs to be detected or not according to the first detection probability;
if the first detection item set needs to be detected, whether detection of a second detection item set is carried out is determined according to a detection result corresponding to the first detection item set;
if the second detection item set is determined to be detected, comparing the first detection proportion with a first threshold value, updating the first detection proportion according to a comparison result, and determining the updated detection proportion;
detecting a second detection item set of a second detection period corresponding to the mainboard to be detected according to the updated detection proportion, wherein the second detection item set comprises at least one second detection item;
if the comparison result is that the first detection proportion is not lower than the first threshold value, updating the first detection proportion based on a first descending trend; if the comparison result is that the first detection proportion is lower than the first threshold value, updating the first detection proportion based on a second descending trend; the reduction of the first downward trend to the first detection proportion is larger than the reduction of the second downward trend to the first detection proportion;
the first detection item is an unnecessary detection item, and the second detection item is an unnecessary detection item adjacent to the first detection item and determined according to a locality principle.
6. The method of claim 5, wherein after said determining that detection is required for said first set of detection items, said method further comprises:
if the detection results corresponding to all the first detection items are qualified, detecting the second detection item set;
if the detection result corresponding to any first detection item is unqualified, initializing the first detection proportion, determining an initial detection proportion, and adjusting the first threshold value according to the first detection proportion to obtain a second threshold value;
and detecting a third detection item set according to the second threshold value and the initial detection proportion.
7. The method according to claim 6, wherein after the detection result corresponding to any one of the first detection items is a detection failure, the method further comprises:
and determining a third detection item set corresponding to the first detection item which is unqualified in detection according to a locality principle.
8. A mainboard detection device for dynamically adjusting item-measuring proportion is characterized by comprising:
the device comprises a determining module, a judging module and a judging module, wherein the determining module is used for determining a first detection item set and a first detection proportion of a first detection period corresponding to a mainboard to be detected, and the first detection item set comprises at least one first detection item;
the updating module is used for comparing the first detection proportion with a first threshold value, updating the first detection proportion according to a comparison result and determining the updated detection proportion;
the detection module is used for detecting a second detection item set of a second detection period corresponding to the mainboard to be detected according to the updated detection proportion, wherein the second detection item set comprises at least one second detection item;
if the comparison result shows that the first detection proportion is not lower than the first threshold value, updating the first detection proportion based on a first descending trend; if the comparison result is that the first detection proportion is lower than the first threshold value, updating the first detection proportion based on a second descending trend; the reduction of the first downward trend to the first detection proportion is larger than the reduction of the second downward trend to the first detection proportion;
the first detection item is an unnecessary detection item, and the second detection item is an unnecessary detection item adjacent to the first detection item and determined according to a locality principle.
9. A mainboard detection device for dynamically adjusting item-measuring proportion is characterized by comprising:
the device comprises a determining module, a judging module and a judging module, wherein the determining module is used for determining a first detection item set and a first detection proportion of a first detection period corresponding to a mainboard to be detected, and the first detection item set comprises at least one first detection item;
the determining module is further configured to determine a corresponding first detection probability according to the first detection ratio;
the determining module is further configured to determine whether the first detection item set needs to be detected according to the first detection probability;
the determining module is further configured to determine whether to perform detection on a second detection item set according to a detection result corresponding to the first detection item set if it is determined that the first detection item set needs to be detected;
the updating module is used for comparing the first detection proportion with a first threshold value if the second detection item set is detected, updating the first detection proportion according to a comparison result and determining the updated detection proportion;
the detection module is used for detecting a second detection item set of a second detection period corresponding to the mainboard to be detected according to the updated detection proportion, and the second detection item set comprises at least one second detection item;
if the comparison result shows that the first detection proportion is not lower than the first threshold value, updating the first detection proportion based on a first descending trend; if the comparison result is that the first detection proportion is lower than the first threshold value, updating the first detection proportion based on a second descending trend; the reduction of the first downward trend to the first detection proportion is larger than the reduction of the second downward trend to the first detection proportion;
the first detection item is an unnecessary detection item, and the second detection item is an unnecessary detection item adjacent to the first detection item and determined according to a locality principle.
10. An electronic device, characterized in that the device comprises:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a method as claimed in any one of claims 1 to 4 or 5 to 7.
11. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the method of any one of claims 1 to 4 or 5 to 7.
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