TWI721632B - Device and method for setting product detection threshold and storage medium - Google Patents

Abstract

A method for setting product detection threshold includes: obtaining an initial upper threshold and an initial lower threshold set by a detection device for detecting product parameters of current products; counting the first to fourth determination quantities of the current product under the initial upper threshold and the initial lower threshold, respectively; adding the minimum product parameter determined by the detection device, the initial lower threshold, and a number of values between the minimum product parameter and the initial lower threshold into a set, and adding the maximum product parameter determined by the detection device, the initial upper threshold, and a number of values between the maximum product parameter and the initial upper threshold into a set; repeating obtaining an arbitrary element from the set and setting the arbitrary element as a test threshold until the set becomes an empty set, counting the first to fourth determination quantities of the current product under the test threshold; calculating a benefit of each test threshold; defining an element with the maximum benefit of set as the suggested upper threshold and the suggested lower threshold for detecting the current product. A device for setting product detection threshold and a storage medium are also provided.

Description

Product detection threshold setting device, method and computer readable storage medium

The present invention relates to the field of detection technology, in particular to a detection threshold setting device, method and computer readable storage medium applied to product detection.

In the initial stage of the introduction of new products, the threshold range of the test object is usually strict, and it is necessary to correct the threshold step by step to an appropriate range through a large number of manual visual inspection results and the actual status of the production line. The conventional operation method is determined by the engineer according to the actual situation of the production line, and the final threshold will be determined after a certain period of time. Therefore, more labor costs are required. For example, the automatic optical identification (AOI) machine is applied to the SMT assembly line to check the quality of the parts on the circuit board after assembly, or to check whether the solder paste meets the standard after printing. The production line engineer must set each object to be tested If the standard setting is too strict, the false alarm rate will be too high; if the standard setting is too loose, the detection will be missed.

In view of this, it is necessary to provide a product detection threshold setting device, method, and computer readable storage medium, which can give appropriate detection thresholds, so that the false alarm rate of the detection machine is minimized and the benefit is maximized.

An embodiment of the present invention provides a method for setting a product detection threshold. The method includes: acquiring an initial detection threshold set by a detection device to detect product parameters of a product to be tested and all The setting method of the initial detection threshold; the first judgment quantity, the second judgment quantity, the third judgment quantity, and the fourth judgment quantity of the product to be tested under the initial detection threshold are counted, wherein the first judgment quantity is The detection equipment judged to be a good product, the manual re-judgment is also the quantity of good products, the second judged quantity is the quantity judged by the detection equipment to be good, and the manual re-judgment is the quantity of defective products, and the third judged quantity is the quantity The detection equipment determines the number of defective products and manual re-judgment is good. The fourth judgment quantity is the number of defective products judged by the testing equipment, and the manual re-judgment is also the number of defective products; if the initial detection threshold is set Is the lower bound of the unilateral threshold, then obtain the minimum product parameter among all the products to be tested that are judged as defective by the testing equipment; compare the minimum product parameter, the initial detection threshold, and the minimum product parameter with the initial The multiple values between the detection thresholds are added to a set; an element is randomly taken out of the set as the test threshold, and the first judgment quantity, the second judgment quantity, and the test product under the test threshold are counted. The third judgment quantity and the fourth judgment quantity; based on the first judgment quantity and the third judgment quantity of the product under test under the initial detection threshold, and the first judgment quantity and the first judgment quantity of the product under test under the test threshold 3. Calculate the benefit of the test threshold by determining the number; repeat the step of randomly removing an element from the set as the test threshold until the set is empty to calculate the benefit of each element in the set; And the element with the greatest benefit in the set is used as the lower bound of the recommended threshold for the detection device to detect the product under test.

Preferably, the method further includes: if the initial detection threshold is set as a unilateral threshold upper bound, obtaining the largest product parameter among all the products to be tested that are judged as defective by the detection equipment; The maximum product parameter, the initial detection threshold, and multiple values between the maximum product parameter and the initial detection threshold are added to a set; and the element with the greatest benefit in the set is used as the detection device to the The upper bound of the recommended threshold for testing the product to be tested.

Preferably, the step of using the element with the greatest benefit in the set as the upper bound of the recommended threshold for the detection device to detect the product under test further includes: if the element with the greatest benefit in the set exists Multiple, calculate the difference between the multiple elements and the initial threshold; from The element with the smallest difference from the initial threshold is selected from the plurality of elements as the target element; and the target element is used as the recommended upper bound of the threshold for the detection device to detect the product under test.

Preferably, the step of using the element with the greatest benefit in the set as the lower bound of the recommended threshold for the detection device to detect the product under test includes: if the element with the greatest benefit in the set exists in multiple , Calculate the difference between the plurality of elements and the initial threshold respectively; select the element with the smallest difference from the initial threshold from the plurality of elements as the target element; and use the target element as the detection device pair The lower bound of the recommended threshold for the product to be tested.

Preferably, the benefit of the test threshold is calculated by the following formula: BF=(TN'-TN)*COST1-(FN'-FN)*COST2, where BF is the benefit of the test threshold, and TN' is The first determined quantity of the product under test under the test threshold, TN is the first determined quantity of the product under test under the initial detection threshold, and FN' is the product under test under the test threshold The third judgment quantity, FN is the third judgment quantity of the product under test under the initial detection threshold, COST1 is the cost incurred by the detection equipment judging a good product as a defective product, and COST2 is the detection equipment The cost of judging defective products as good products.

An embodiment of the present invention provides a method for setting a product detection threshold, the method comprising: acquiring an initial lower detection threshold and an initial upper detection threshold set by a detection device for detecting product parameters of a product to be tested; and collecting statistics on the initial lower detection The first judgment quantity, the second judgment quantity, the third judgment quantity, and the fourth judgment quantity of the product to be tested under the threshold; to obtain all the products to be tested that are judged as defective by the testing equipment under the initial lower detection threshold The smallest product parameter in the product; adding the smallest product parameter, the initial lower bound detection threshold, and multiple values between the smallest product parameter and the initial lower bound detection threshold to the first set; from the first set Take any element out of the set as the first test threshold, and count the first, second, third, and fourth judgments of the product under test under the first test threshold; The first judgment quantity, the third judgment quantity of the product to be tested under the initial lower detection threshold and the first test threshold The first judgment quantity and the third judgment quantity of the product to be tested calculate the benefit of the first test threshold; repeat the step of taking any element from the first set as the first test threshold until the The first set is an empty set to calculate the benefit of each element in the first set; the element with the greatest benefit in the first set is used as the lower bound of the recommended threshold for the detection equipment to detect the product under test ; Count the first, second, third, and fourth judgments of the product to be tested under the initial upper-bound detection threshold; obtain under the initial upper-bound detection threshold by the The largest product parameter among all the products to be tested that the testing equipment judges to be defective; the maximum product parameter, the initial upper detection threshold, and the multiple between the maximum product parameter and the initial upper detection threshold The value is added to the second set; an element is randomly selected from the second set as the second test threshold, and the first judgment quantity, the second judgment quantity, and the second judgment quantity of the product to be tested under the second test threshold are counted The third judgment quantity and the fourth judgment quantity; based on the first judgment quantity of the product to be tested under the initial upper detection threshold, the third judgment quantity and the first of the product under test under the second test threshold Determine the number of judgments and the third judgment number to calculate the benefit of the second test threshold; repeat the step of taking any element from the second set as the second test threshold until the second set is an empty set, To calculate the benefit of each element in the second set; and use the element with the greatest benefit in the second set as the upper bound of the recommended threshold for the detection equipment to detect the product under test; wherein, the The first judged quantity is the quantity judged by the testing equipment as good, and the manual re-judgment is also the quantity of good products. The second judged quantity is the quantity judged by the testing equipment as good and the manual re-judgment is bad. The judged quantity is the quantity judged by the inspection equipment as defective and the manual re-judgment is good, the fourth judged quantity is the quantity judged by the inspection equipment as defective, and the manual rejudgment is also the quantity of defective products.

Preferably, the step of using the element with the greatest benefit in the first set as the lower bound of the recommended threshold for the detection device to detect the product under test includes: if the element with the greatest benefit in the first set If stored in multiple, the difference between the multiple elements and the initial lower bound detection threshold is calculated separately; and the element with the smallest difference with the initial lower bound detection threshold is selected from the multiple elements As the lower bound of the recommended threshold for the detection device to detect the product under test.

Preferably, the step of using the element with the greatest benefit in the second set as the upper bound of the recommended threshold for the detection device to detect the product under test includes: if the element in the second set has the greatest benefit If there are multiple elements, the difference between the multiple elements and the initial upper detection threshold is calculated separately; the element with the smallest difference from the initial upper detection threshold is selected from the multiple elements as the target element; and The target element is used as the upper bound of the recommended threshold for the detection device to detect the product to be tested.

An embodiment of the present invention provides a product detection threshold setting device. The device includes a processor and a memory. A plurality of computer programs are stored on the memory. The processor is used to execute the computer programs stored in the memory to achieve the above The steps of the product detection threshold setting method.

An embodiment of the present invention also provides a computer-readable storage medium. The computer-readable storage medium stores a plurality of instructions, and the plurality of instructions can be executed by one or more processors to realize the above-mentioned product detection. Steps of threshold setting method.

Compared with the prior art, the above-mentioned product detection threshold setting device, method, and computer readable storage medium can automatically give appropriate detection recommended thresholds by analyzing the equipment judged as defective products, so that the detection machine The false alarm rate is minimized and the benefit is maximized.

11: Testing equipment

13: Product to be tested

10: Memory

20: processor

30: Product detection threshold setting program

101: The first acquisition module

102: Statistics Module

103: The second acquisition module

104: Add module

105: Test Module

106: calculation module

107: Suggested Module

100: Product detection threshold setting device

Fig. 1 is a schematic diagram of a testing environment for a product to be tested according to an embodiment of the present invention.

Fig. 2 is a functional module diagram of a product detection threshold setting device according to an embodiment of the present invention.

3 is a functional module diagram of a product detection threshold setting program according to an embodiment of the present invention.

Fig. 4 is a flowchart of a method for setting a product detection threshold according to an embodiment of the present invention.

Please refer to FIG. 1, the testing device 11 is used for testing the product 13 to be tested to determine whether the product 13 to be tested is a good product or a defective product. The detection device 11 may pre-store a detection standard, and determine whether the product 13 to be tested is a good product or a defective product by detecting whether the product parameters of the product to be tested 13 meet the detection standard. For example, the inspection equipment 11 is an AOI inspection machine, the product 13 to be tested is a circuit board, and the product parameter may be the assembly status of each component of the circuit board, or the solder paste printing status. Each product parameter in the circuit board has an initial threshold. If the measured value is within the threshold, the inspection device 11 determines that it is a good product; if the measured value is outside the threshold, the inspection device 11 determines that it is a defective product. After the circuit board detected by the detection device 11 is manually visually inspected, the results of the re-judgment are as follows: a). The detection device 11 is judged to be a good product, and it is also a good product after the re-judgment, the quantity is TN; b) The detection equipment 11 is judged as good, and the product is defective after re-judgment, and its quantity is FN; c). The detection equipment 11 is judged as a defective product, and it is a good product after the re-judgment, and its quantity is FP; d). The detection equipment 11 is judged to be a good product. Defective products are also defective after re-judgment, and their quantity is TP.

Please refer to FIG. 2, which is a schematic diagram of a preferred embodiment of the product detection threshold setting device of the present invention.

The product detection threshold setting device 100 includes a memory 10, a processor 20, and a product detection threshold setting program 30 stored in the memory 10 and running on the processor 20. When the processor 20 executes the product detection threshold setting program 30, the steps in the embodiment of the product detection threshold setting method are implemented, such as steps S400 to S414 shown in FIG. 4. Alternatively, when the processor 20 executes the product detection threshold setting program 30, the functions of the modules in the embodiment of the product detection threshold setting program are realized, such as the modules 101 to 107 in FIG. 3.

In one embodiment, the product detection threshold setting device 100 can be integrated in the detection device 11.

The product detection threshold setting program 30 can be divided into one or more modules, and the one or more modules are stored in the memory 10 and executed by the processor 20 to complete this invention. The one or more modules may be a series of computer program instruction segments capable of completing specific functions, and the instruction segments are used to describe the execution process of the product detection threshold setting program 30 in the product detection threshold setting device 100. For example, the product detection threshold setting program 30 can be divided into the first acquisition module 101, the statistics module 102, the second acquisition module 103, the addition module 104, the test module 105, and the calculation module in FIG. 3. 106 and suggested module 107. For the specific functions of each module, refer to the function of each module in Figure 3 below.

Those skilled in the art can understand that the schematic diagram is only an example of the product detection threshold setting device 100, and does not constitute a limitation on the product detection threshold setting device 100. It may include more or less components than shown in the figure, or a combination of Some components, or different components, for example, the product detection threshold setting device 100 may also include network access equipment, buses, and the like.

The so-called processor 20 may be a central processing unit (Central Processing Unit, CPU), other general-purpose processors, digital signal processors (Digital Signal Processors, DSP), dedicated integrated circuits (Application Specific Integrated Circuit, ASIC), ready-made Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor 20 may also be any conventional processor, etc. The processor 20 may use various interfaces and buses to connect various parts of the product detection threshold setting device 100.

The memory 10 can be used to store the product detection threshold setting program 30 and/or modules, the processor 20 runs or executes the computer programs and/or modules stored in the memory 10, and The data stored in the memory 10 is called to realize various functions of the product detection threshold setting device 100. The memory 10 may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk drive, a memory, a plug-in hard disk drive, and a smart memory card (Smart Media Card, SMC), Secure Digital (SD) card, flash memory card (Flash Card), at least one magnetic disk memory device, flash memory device, or other non-volatile solid state memory device.

FIG. 3 is a functional module diagram of a preferred embodiment of the product detection threshold setting program of the present invention.

Referring to FIG. 3, the product detection threshold setting program 30 may include a first acquisition module 101, a statistics module 102, a second acquisition module 103, an addition module 104, a test module 105, a calculation module 106, and a suggestion module. Group 107. In one embodiment, the aforementioned modules may be programmable software instructions that are stored in the memory 10 and can be invoked and executed by the processor 20. It can be understood that, in other embodiments, the above-mentioned modules may also be program instructions or firmware that are solidified in the processor 20.

The first acquisition module 101 is used to acquire the initial detection threshold set by the detection device 11 for detecting the product parameters of the product 13 under test and the setting method of the initial detection threshold.

In one embodiment, the initial detection threshold may be a detection threshold set in the detection device 11 by a tester based on previous test experience. After the initial detection threshold is set, the first acquisition module 101 can obtain the initial detection threshold set by the detection device 11. The initial detection threshold can be set in three ways: the first is to set only the initial lower threshold LSL, the initial detection threshold is [LSL,∞]; the second is to only set the initial upper threshold USL, the initial detection threshold It is [0, USL]; the third is to set the initial threshold lower bound LSL and initial threshold upper bound USL, the initial detection threshold is [LSL, USL]. The following takes only the initial threshold lower bound LSL as an example for description.

The statistics module 102 is used to count the first determination quantity, the second determination quantity, the third determination quantity, and the fourth determination quantity of the product under test 13 under the lower bound of the initial threshold.

In one embodiment, the first judgment quantity is TN, that is, the detection device 11 judges that it is a good product, and the manual re-judgment is also the quantity of a good product. The second judgment quantity is FN, that is, the detection device 11 judges It is a good product, and the manual re-judgment is the quantity of defective products. The third judgment quantity is FP, that is, the detection device 11 judges the defective product and the manual re-judgment is the quantity of good products. The fourth judgment quantity is TP, that is The detection equipment 11 judges the defective product, and the manual re-judgment is also the quantity of the defective product.

In one embodiment, since each of the products to be tested 13 needs to be manually re-judgmented, the first judgment quantity, the second judgment quantity, the third judgment quantity, and the fourth judgment quantity can be manually reviewed The statistics are obtained, and then input into the detection device 11, and then the statistics module 102 can obtain the first judgment quantity, the second judgment quantity, and the third judgment of the product under test 13 under the lower bound of the initial threshold. Quantity and the fourth judgment quantity.

The second acquisition module 103 is used to acquire the minimum product parameters of all the products to be tested 13 determined as defective by the testing equipment 11.

In one embodiment, since only the initial threshold lower bound LSL is set as an example for description, the measuring range judged by the detection device 11 as a defective product is [0, LSL], and the measuring range judged as a good product is [LSL, ∞]. In actual production, because the production environment, production parameters, etc. cannot be in an ideal production state, the detection device 11 can detect defective products judged by multiple devices, and the measurement range of its product parameters is between [0, LSL] , The second acquisition module 103 can acquire the smallest product parameter among all equipment judged to be defective. For example, if LSL=10mm, the product parameters judged as defective by the equipment include 5mm, 6mm, 5mm, 8mm, 9mm, 7mm, and the minimum product parameter for the product 13 to be tested as defective is 5mm.

The adding module 104 is used for adding the minimum product parameter, the initial threshold lower bound, and multiple values between the minimum product parameter and the initial threshold lower bound to a set.

In one embodiment, the multiple values may be integer values between the minimum product parameter and the lower bound of the initial threshold, and the multiple values may also constitute an arithmetic difference with the lower bound of the initial threshold or the minimum product parameter. The difference between the sequence and the arithmetic sequence can be set according to actual needs. When the adding module 104 adds the minimum product parameter, the lower bound of the initial threshold, and multiple values between the minimum product parameter and the lower bound of the initial threshold to the set, the set includes multiple values. Elements.

The test module 105 is used to randomly extract an element from the set as a test threshold, and count the first determination quantity, the second determination quantity, and the third determination of the product under test 13 under the test threshold. Quantity and the fourth judgment quantity.

In one embodiment, the test module 105 can take any element from the set as a test threshold, and count the first determination quantity, the second determination quantity, and the second determination quantity of the product under test 13 under the test threshold. The third judgment quantity and the fourth judgment quantity.

It can be understood that the test module 105 can repeat the element extraction process until the set is empty, and then the first decision quantity, the second decision quantity, and the third decision quantity corresponding to each element in the set can be obtained by statistics. And the fourth judgment quantity.

The calculation module 106 is configured to be based on the first judgment quantity and the third judgment quantity of the product under test 13 under the lower bound of the initial threshold, and the first judgment quantity and the first judgment quantity of the product under test 13 under the test threshold. 3. Determine the amount to calculate the benefit of the test threshold.

In one embodiment, when the test module 105 obtains the first, second, third, and fourth judgments of the product 13 under the test threshold, the The calculation module 106 can be based on the first judgment quantity and the third judgment quantity of the product under test 13 under the lower bound of the initial threshold, and the first judgment quantity and the third judgment quantity of the product under test 13 under the test threshold. Calculate the benefit of the test threshold. It can be understood that each element in the set is a test threshold, and the calculation module 106 can calculate the benefit of each element in the same calculation method.

In one embodiment, the benefit of the test threshold can be calculated according to actual needs. For example, it can be calculated by the following formula: BF=(TN'-TN)*COST1-(FN'-FN)*COST2, where BF For the benefit of the test threshold, TN' is the first determined quantity of the product under test 13 under the test threshold, TN is the first determined quantity of the product under test 13 under the lower bound of the initial threshold, FN' is the third determined quantity of the product under test 13 under the test threshold, FN is the third determined quantity of the product under test 13 under the lower bound of the initial threshold, and COST1 is the test device 11 The good product is judged to be the cost brought about by the defective product, and COST2 is the cost caused by the detection equipment 11 judging the defective product as a good product.

The suggestion module 107 is used to take the most effective element in the set as the result. The lower bound of the recommended threshold for the detection device 11 to detect the product 13 to be tested.

In one embodiment, when the calculation module 106 calculates the benefit of each element in the set, the suggestion module 107 can find the element with the greatest benefit from the calculated benefits, and will have the greatest benefit. The element of benefit serves as the lower bound of the recommended threshold for the detection device 11 to detect the product 13 under test.

In one embodiment, if there is more than one element that produces the greatest benefit, the suggestion module 107 may select the element closest to the lower bound of the initial threshold as the lower bound of the suggested threshold. Specifically, if there are multiple elements with the greatest benefit in the set, the suggestion module 107 may calculate the difference between the multiple elements and the lower bound of the initial threshold, and then select from the multiple elements The element with the smallest difference from the lower bound of the initial threshold is used as the target element, and finally the target element is set as the recommended lower bound of the threshold for the detection device 11 to detect the product 13 under test.

In one embodiment, if the initial detection threshold is set in a manner that only the initial upper threshold USL is set. Then, the measurement range judged by the detection device 11 as a defective product is [USL,∞], and the measurement range judged as a good product is [0,USL]. The detection device 11 can detect defective products judged by multiple equipment, and the measurement range of its product parameters is between [USL,∞], and the second acquisition module 103 can acquire all equipment judged as defective products The maximum product parameters. For example, USL=10mm, and the product parameters judged as defective by the equipment include 15mm, 16mm, 15mm, 18mm, 19mm, 17mm, and the maximum product parameter for the product 13 to be tested as defective is 19mm.

In one embodiment, the adding module 104 can add the maximum product parameter, the upper bound of the initial threshold value, and multiple values between the maximum product parameter and the upper bound of the initial threshold value into a set. The multiple numerical values may be integer values between the maximum product parameter and the upper bound of the initial threshold, and the multiple numerical values may also form an arithmetic sequence with the upper bound of the initial threshold or the maximum product parameter. The difference of the sequence can be set according to actual needs. When the adding module 104 calculates the maximum product parameter, the upper bound of the initial threshold, and the maximum product parameter and the upper bound of the initial threshold After the values are added to the set, the set includes multiple elements. The test module 105 can take any element from the set as a test threshold, and count the first, second, and third judgments of the product under test 13 under the test threshold. And the fourth judgment quantity.

In one embodiment, the test module 105 can also take any element from the set as a test threshold, and count the first and second determined quantities of the product under test 13 under the test threshold. , The third judgment quantity and the fourth judgment quantity. The calculation module 106 may be based on the first judgment quantity and the third judgment quantity of the product under test 13 under the upper limit of the initial threshold, and the first judgment quantity and the first judgment quantity of the product under test 13 under the test threshold. 3. Determine the amount to calculate the benefit of the test threshold.

In one embodiment, when the test module 105 obtains the first, second, third, and fourth judgments of the product 13 under the test threshold, the The calculation module 106 can be based on the first judgment quantity and the third judgment quantity of the product under test 13 under the upper limit of the initial threshold value, and the first judgment quantity and the third judgment quantity of the product under test 13 under the test threshold. Calculate the benefit of the test threshold by quantity.

In one embodiment, when the calculation module 106 calculates the benefit of each element in the set, the suggestion module 107 can find the element with the greatest benefit from the calculated benefits, and will have the greatest benefit. The element of benefit serves as the upper bound of the recommended threshold for the detection device 11 to detect the product 13 under test.

In one embodiment, if there is more than one element that produces the greatest benefit, the suggestion module 107 may select the element closest to the upper bound of the initial threshold as the upper bound of the suggested threshold. Specifically, if there are multiple elements with the greatest benefit in the set, the suggestion module 107 can calculate the difference between the multiple elements and the upper bound of the initial threshold, and then select the element from the multiple elements. The element with the smallest difference from the upper bound of the initial threshold is selected as the target element, and finally the target element is set as the recommended upper bound of the threshold for the detection device 11 to detect the product 13 under test.

In one embodiment, if the initial detection threshold is set in a way that the initial lower threshold LSL and the initial upper threshold USL are set at the same time, the measurement range of the detection device 11 as a defective product is [USL,∞] and [ 0,USL], the measurement range judged as good product is [LSL,USL]. Based on the above method of determining the lower limit of the recommended threshold, for the defective product judged by the device in the [0, USL] interval, the lower limit of the recommended threshold for the detection device 11 to detect the product under test 13 can be found, which will not be repeated here . Based on the above method of determining the upper bound of the recommended threshold, for the defective product judged by the device in the [USL,∞] interval, the upper bound of the recommended threshold for the detection device 11 to detect the product under test 13 can be found. Repeat the narrative.

4 is a flowchart of a method for setting a product detection threshold in an embodiment of the present invention. According to different needs, the order of the steps in the flowchart can be changed, and some steps can be omitted.

In step S400, the initial detection threshold set by the detection device 11 for detecting the product parameters of the product 13 to be tested and the setting method of the initial detection threshold are acquired.

Step S402: Count the first judgment quantity, the second judgment quantity, the third judgment quantity, and the fourth judgment quantity of the product under test 13 under the initial detection threshold.

In step S404, if the setting method of the initial detection threshold is the lower bound of the unilateral threshold, obtain the minimum product parameter of all the products under test 13 judged as defective by the detection device 11.

In step S406, the minimum product parameter, the initial detection threshold, and multiple values between the minimum product parameter and the initial detection threshold are added to a set.

Step S408: Take any element from the set as a test threshold, and count the first, second, third, and fourth judgments of the product under test 13 under the test threshold. Quantity.

Step S410, based on the first judgment quantity and the third judgment quantity of the product under test 13 under the initial detection threshold, and the first judgment quantity and the third judgment quantity of the product under test 13 under the test threshold. Describe the benefits of the test threshold.

Step S412: Repeat the step of randomly extracting an element from the set as the test threshold until the set is empty, so as to calculate the benefit of each element in the set.

In step S414, the element with the greatest benefit in the set is used as the lower bound of the recommended threshold for the detection device 11 to detect the product 13 under test.

The above-mentioned product detection threshold setting device, method, and computer readable storage medium can automatically give appropriate detection thresholds by analyzing the equipment judged to be defective products, so that the false alarm rate of the detection machine is minimized and beneficial Reach the highest.

In summary, the present invention meets the requirements of an invention patent, and Yan filed a patent application in accordance with the law. However, the above are only the preferred embodiments of the present invention, and the scope of the present invention is not limited to the above embodiments. Anyone familiar with the art of the present case makes equivalent modifications or changes based on the spirit of the present invention. Should be covered in the scope of the following patent applications.

Claims (10)

A method for setting a product detection threshold, the method comprising: obtaining an initial detection threshold set by a detection device for detecting product parameters of a product to be tested and a setting method of the initial detection threshold; The first judged quantity, the second judged quantity, the third judged quantity and the fourth judged quantity of the tested product, wherein the first judged quantity is the quantity judged by the testing equipment as good, and the manual re-judgment is also the quantity of good products. The second judged quantity is the quantity judged by the inspection equipment as good and manual re-judgment as defective. The third judged quantity is the quantity judged by the inspection equipment as defective and the manual re-judgment is good. The fourth The number of judgments is the number of defective products judged by the inspection equipment, and manual re-judgment is also the number of defective products; if the initial detection threshold is set to the lower limit of the unilateral threshold, all the products judged as defective by the inspection equipment are acquired The minimum product parameter in the product to be tested; adding the minimum product parameter, the initial detection threshold, and multiple values between the minimum product parameter and the initial detection threshold into a set; randomly remove from the set One element is set as the test threshold, and the first, second, third, and fourth judgments of the product under test under the test threshold are counted; based on the initial detection threshold The first judgment quantity, the third judgment quantity of the product to be tested, and the first judgment quantity and the third judgment quantity of the product under the test threshold are used to calculate the benefit of the test threshold; repeat arbitrarily from the set The step of setting an element as the test threshold until the set is an empty set to calculate the benefit of each element in the set; and the element with the greatest benefit in the set is used as the effect of the detection device on the The lower bound of the recommended threshold for the product to be tested. The method described in claim 1, further including: If the setting method of the initial detection threshold is the upper bound of the unilateral threshold, the maximum product parameter among all the products to be tested that are judged as defective by the detection equipment is obtained; the maximum product parameter and the initial detection threshold And multiple values between the maximum product parameter and the initial detection threshold are added to a set; and the element with the greatest benefit in the set is used as the recommended threshold for the detection equipment to detect the product under test World. The method according to claim 2, wherein the step of using the element with the greatest benefit in the set as the upper bound of the recommended threshold for the detection device to detect the product under test further comprises: if the set is in If the element with the greatest benefit exists in multiple, the difference between the multiple elements and the initial threshold is calculated separately; the element with the smallest difference from the initial threshold is selected from the multiple elements as the target element; and The target element serves as the upper bound of the recommended threshold for the detection device to detect the product to be tested. The method according to claim 1, wherein the step of using the element with the greatest benefit in the set as the lower bound of the recommended threshold for the detection device to detect the product under test includes: if the set has the largest If there are multiple elements of benefit, calculate the difference between the multiple elements and the initial threshold; select the element with the smallest difference from the initial threshold from the multiple elements as the target element; and set the target The element serves as the lower bound of the recommended threshold for the detection device to detect the product under test. The method according to claim 1, wherein the benefit of the test threshold is calculated by the following formula: BF=(TN’-TN)*COST1-(FN’-FN)*COST2, where BF is the test threshold TN' is the first judged quantity of the product under test under the test threshold, TN is the first judged quantity of the product under test under the initial detection threshold, and FN' is the first judged quantity of the product under test under the test threshold. The third judged quantity of the product under test under the threshold, FN is the third judged quantity of the product under test under the initial detection threshold, and COST1 is the cost incurred by the testing equipment judging a good product as a defective product , COST2 is the cost incurred by the detection equipment in judging a defective product as a good product. A method for setting a product detection threshold, the method comprising: acquiring an initial lower detection threshold and an initial upper detection threshold set by a detection device for detecting product parameters of a product to be tested; and counting the to-be-tested under the initial lower detection threshold The first judgment quantity, the second judgment quantity, the third judgment quantity, and the fourth judgment quantity of the product; obtain the minimum product parameter among all the products to be tested that are judged as defective by the testing equipment under the initial lower bound detection threshold ; Add the minimum product parameter, the initial lower bound detection threshold and multiple values between the minimum product parameter and the initial lower bound detection threshold into the first set; arbitrarily take out an element set from the first set Is the first test threshold, and counts the first, second, third, and fourth judgments of the product under test under the first test threshold; based on the initial lower bound detection threshold The first judgment quantity, the third judgment quantity of the product to be tested and the first judgment quantity and the third judgment quantity of the product under the first test threshold are used to calculate the benefit of the first test threshold; The step of randomly taking out an element from the first set and setting it as the first test threshold until the first set is an empty set, so as to calculate the benefit of each element in the first set; The element with the greatest benefit in the set is used as the lower bound of the recommended threshold for the detection equipment to detect the product under test; Count the first judgment quantity, second judgment quantity, third judgment quantity, and fourth judgment quantity of the product under test under the initial upper detection threshold; obtain the first judgment quantity, the second judgment quantity, the third judgment quantity, and the fourth judgment quantity under the initial upper detection threshold; The maximum product parameter among all the products to be tested that the equipment judges to be defective; the maximum product parameter, the initial upper detection threshold, and multiple values between the maximum product parameter and the initial upper detection threshold Add to the second set; take any element from the second set as the second test threshold, and count the first judgement quantity, second judgement quantity, and first judgement quantity of the product under test under the second test threshold Three judgment quantity and fourth judgment quantity; based on the first judgment quantity and third judgment quantity of the product under test under the initial upper detection threshold, and the first judgment of the product under test under the second test threshold Calculate the benefit of the second test threshold with the number and the third judgment number; repeat the step of taking any element from the second set as the second test threshold until the second set is an empty set. Calculate the benefit of each element in the second set; and use the element with the greatest benefit in the second set as the upper bound of the recommended threshold for the detection equipment to detect the product under test; wherein, the first The first judged quantity is the quantity judged by the inspection equipment as good, and the manual re-judgment is also the quantity of good products. The second judged quantity is the quantity judged by the inspection equipment as good and the manual re-judgment is defective. The third judgement The quantity is the quantity judged by the inspection equipment as defective and the manual re-judgment is good, the fourth judged quantity is the quantity judged by the inspection equipment as defective, and the manual re-judgment is also the quantity of defective products. The method according to claim 6, wherein the step of using the most beneficial element in the first set as the lower bound of the recommended threshold for the detection device to detect the product under test includes: If there are multiple elements with the greatest benefit in the first set, calculate the difference between the multiple elements and the initial lower bound detection threshold respectively; and select from the multiple elements and the initial lower bound detection threshold The element with the smallest difference is used as the lower bound of the recommended threshold for the detection device to detect the product under test. The method according to claim 6, wherein the step of using the element with the greatest benefit in the second set as the upper bound of the recommended threshold for the detection device to detect the product under test includes: if the first If there are multiple elements with the greatest benefit in the two sets, the difference between the multiple elements and the initial upper detection threshold is calculated separately; the minimum difference between the multiple elements and the initial upper detection threshold is selected The target element is used as the target element; and the target element is used as the upper bound of the recommended threshold for the detection device to detect the product under test. A product detection threshold setting device, comprising a processor and a memory, wherein a plurality of computer programs are stored on the memory, and the processor is used to execute the computer programs stored in the memory to realize the requirements as specified in any one of request items 1 to 8. The steps of the product detection threshold setting method described. A computer-readable storage medium, wherein the computer-readable storage medium stores a plurality of instructions, and the plurality of instructions can be executed by one or more processors, so as to realize any one of claims 1 to 8 The steps of the product detection threshold setting method.

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