CN110068582B - AOI printed board detecting system - Google Patents
AOI printed board detecting system Download PDFInfo
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- CN110068582B CN110068582B CN201910295488.8A CN201910295488A CN110068582B CN 110068582 B CN110068582 B CN 110068582B CN 201910295488 A CN201910295488 A CN 201910295488A CN 110068582 B CN110068582 B CN 110068582B
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/956—Inspecting patterns on the surface of objects
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/956—Inspecting patterns on the surface of objects
- G01N2021/95638—Inspecting patterns on the surface of objects for PCB's
- G01N2021/95646—Soldering
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Abstract
The invention discloses an AOI printed board detection system which comprises a master control module, an AOI detection module, a weight detection module, a data receiving module, a data processing module, a data analysis module, a data comparison module, a data import module and a data display module; the AOI detection module is in communication connection with the master control module, the weight detection module is in communication connection with the master control module, the data receiving module is in communication connection with the AOI detection module, the weight detection module is in communication connection with the data receiving module, the data processing module is in communication connection with the data analysis module, the data analysis module is in communication connection with the data comparison module, and the data importing module is in communication connection with the data comparison module; the invention can carry out pre-detection before AOI detection, avoids the waste of detection resources and can detect the printed board more quickly and efficiently.
Description
Technical Field
The invention belongs to the field of printed board detection, relates to an AOI (automated optical inspection) utilization technology, and particularly relates to an AOI printed board detection system.
Background
AOI is known as automated optical inspection and is a device based on optical principles to detect common defects encountered in solder production. AOI is a new emerging testing technology, but the development is rapid, and AOI testing equipment is released by many manufacturers. When the automatic detection is carried out, the machine automatically scans the PCB through the camera, acquires images, compares the tested welding spots with qualified parameters in the database, inspects the defects on the PCB through image processing, displays or marks the defects through a display or an automatic mark for maintenance personnel to repair, and can be applied to AOI detection when the printed board is detected.
The existing AOI detection system is mostly installed at the rearmost end of the production of a printed board in the using process, a large number of printed boards need to be detected, even if the printed boards have large flaws, the detection can be directly performed, the detection efficiency is reduced, time is wasted, meanwhile, the detection efficiency of the existing AOI detection system is not fast enough, certain influence is brought to the use of the system, and a solution is provided for solving the defects.
Disclosure of Invention
The invention aims to provide an AOI printed board detection system.
The technical problem to be solved by the invention is as follows:
(1) how to perform pre-detection on the printed board before performing AOI detection;
(2) how to effectively improve the detection efficiency of the system;
the purpose of the invention can be realized by the following technical scheme:
an AOI printed board detection system comprises a master control module, an AOI detection module, a weight detection module, a data receiving module, a data processing module, a data analysis module, a data comparison module, a data import module and a data display module;
the AOI detection module is in communication connection with the master control module, the weight detection module is in communication connection with the master control module, the data receiving module is in communication connection with the AOI detection module, the weight detection module is in communication connection with the data receiving module, the data processing module is in communication connection with the data analysis module, the data analysis module is in communication connection with the data comparison module, the data importing module is in communication connection with the data comparison module, and the data comparison module is in communication connection with the data display module;
the general control module is used for sending a control instruction to the AOI detection module and the weight detection module, the AOI detection module is used for collecting detected printed board information and sending the collected printed board information to the data receiving module, the weight detection module is used for detecting the weight information of the printed board and sending the collected printed board weight information to the data receiving module, the data receiving module is used for sending the received data to the data processing module for data processing, the data processing module is used for receiving the data for punctuation processing and sending the punctuated data to the data analysis module for data analysis, the data analysis module is used for analyzing the received data, the analyzed data is sent to the data comparison module, and the data import module is used for importing standard printed board data into the data comparison module, the data comparison module compares the analyzed data with the standard printed board data after receiving the standard printed board data and the data analyzed by the data analysis module, the compared data can be sent to the data display module, the data display module can display and process the data after receiving the data, and the wrong board information sending module can send the printed board information with the defects to the mobile terminal of a worker;
after the data collected by the AOI detection module is constructed into a data model, the data model is sent to the data receiving module, the weight detection module can continuously collect the printed board weight information for preset times, the data processing module can mark characteristic points on the data model with good components and process the characteristic points, and the specific marking and processing processes of the characteristic points are as follows:
the method comprises the following steps: selecting the surface with the largest area and the surface with the smallest area, and respectively marking the surfaces as SmaxAnd Smin，SmaxAnd SminAre all square;
step two: will SmaxAre respectively marked as feature points, which are respectively marked as a1, a2, A3 and a4 in clockwise order;
step three: will SminAre respectively marked as SminLabeled in clockwise order as B1, B2, B3, and B4, respectively;
step four: will SmaxA straight line L1 can be obtained by connecting the point A1 with the point A2;
step five: will SmaxA straight line L2 can be obtained by connecting the point A2 with the point A3;
step six: will SmaxThe connection line of the A1 point and the A3 point can obtain a slant line L3;
step seven: will SminA line connecting the point B1 and the point B2 can obtain a straight line L4;
step eight: will SminA line connecting the point B2 and the point B3 can obtain a straight line L5;
step nine: will SminThe connection line of the point B1 and the point B3 can obtain a slant line L6;
the data processing module also marks each printed board, and the specific marking process is as follows: the data processing module will label the printed board detected from the first one as Y1, and the printed board detected from the second one as Y2 … … nth;
the data analysis module analyzes the received data information and calculates a model coefficient, the data imported by the data import module calculates the model coefficient when the data is imported into the data import module, the data imported by the data import module comprises weight data of a standard printed board, and the data comparison module compares the weight data firstly;
the data display module can simultaneously display the data of the standard printed board and the data of the printed board collected in real time in parallel, and the wrong board information sending module can extract and send serial number information of the printed board with larger flaws and incapable of being used to workers.
Further, the process of calculating the model coefficients by the data analysis module is as follows:
SS 1: measuring the length of L1, and marking the value of the length as Qv 1;
SS 2: the length of L2 was measured and its value was labeled Dv 1;
SS 3: the value of the length of L3 was measured and labeled as Xv 1;
SS 4: by the formula Qv1 Dv1/Xv1 ═ CvmaxCan obtain SmaxOf the model coefficient Cvmax；
SS 5: measuring the length of L4, and marking the value of the length as Qv 2;
SS 6: the length of L5 was measured and its value was labeled Dv 2;
SS 7: measuring the length of L6, and marking the length value thereof as XV 2;
SS 8: by the formula Qv2 Dv2/Xv2 ═ CvminCan obtain SminOf the model coefficient Cvmin。
Further, the data comparison module compares the collected weight information of the detected printed board with the weight information of the imported standard printed board, and the specific comparison process is as follows:
(1): marking the printed board weight data collected in real time as Zp 1;
(2): marking the standard printed board weight data imported by the data import module as Zp 2;
(3): by the formula Zp 1-Zp 2 ═ ZpDifference (D)The weight difference value Zp between the printed board and the sample voice board detected in real time can be obtainedDifference (D)；
(4): when | ZpDifference (D)If the | is larger than a preset value, the printed board is over large in flaw and specific AOI detection is not performed any more;
(5): when | ZpDifference (D)If the | is smaller than a preset value, the printed board is over large in flaw and specific AOI detection is not performed any more;
(6): when | ZpDifference (D)If | is within the preset value range, the printed board can be used, and specific AOI detection is required.
Further, the data comparison module compares the model coefficients after the weight comparison is passed, and the specific comparison process is as follows:
1): selecting the surface mark of the maximum area of the standard printed board imported in the data import module as Simax；
2): selecting a face mark with the minimum area of the standard printed board imported in the data import module as Simin；
3): calculating model coefficient Si of standard printed board by combining steps from step one to step nine with steps from SS1 to SS7maxModel coefficients Civ ofmaxAnd SiminModel coefficients Civ ofmin；
4): by the formula Cvmax－Civmax＝C1Difference (D)The difference C1 can be obtainedDifference (D)；
5): by the formula Cvmin－Civmin＝C2Difference (D)The difference C2 can be obtainedDifference (D)；
6): when the difference value is C1Difference (D)Greater than a predetermined value, C2Difference (D)Greater than a predetermined value, indicating that the printed board isThe flaw is large and cannot be used;
7): when the difference value is C1Difference (D)Greater than a predetermined value, C2Difference (D)If the defect is smaller than the preset value, the printed board is large in defect and cannot be used;
8): when the difference value is C1Difference (D)Less than the predetermined value, C2Difference (D)If the defect is larger than the preset value, the printed board is large in defect and cannot be used;
9): when the difference value is C1Difference (D)Less than the predetermined value, C2Difference (D)If the defect is smaller than the preset value, the printed board is large in defect and cannot be used;
10): when the difference value is C1Difference (D)Within the range of preset values, C2Difference (D)Within the preset value range, the printed board is indicated to be small in flaw and can be used.
The invention has the beneficial effects that:
(1) the invention can detect the weight information of the printed board in real time before AOI detection through the arranged weight detection module, and the weight information is Zp 1-Zp 2Difference (D)The weight difference value Zp between the printed board and the sample voice board detected in real time can be obtainedDifference (D)And according to ZpDifference (D)The absolute value can judge whether the printed board detected in real time is a product with larger defects or not, when the detected product is the product with larger defects, AOI detection is not carried out any more, the system can carry out pre-detection, meanwhile, the accuracy of the detection result is ensured, the detection efficiency is improved, and the system is more worthy of popularization and use;
(2) the invention can carry out detailed and rapid detection on the printed board after passing the pre-detection by matching the arranged data processing module with the data analysis module and the data comparison module, and the detection is carried out by a formula of Qv1 Dv1/Xv1 ═ CvmaxCan obtain SmaxOf the model coefficient CvmaxThen, the formula is represented by Qv2 Dv2/Xv2 ═ CvminCan obtain SminOf the model coefficient CvminC is CvmaxAnd CvminComparing the data with the data imported in the data import module through a formula Cvmax－Civmax＝C1Difference (D)And formula Cvmin－Civmin＝C2Difference (D)Can beTo obtain a difference value C1Difference (D)And the difference C2Difference (D)Then according to the difference C1Difference (D)And the difference C2Difference (D)The quality information of the printed board is judged and detected, so that the detection speed of the system is further improved, and the system can detect the printed board more quickly.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
As shown in fig. 1, an AOI printed board detection system includes a master control module, an AOI detection module, a weight detection module, a data receiving module, a data processing module, a data analysis module, a data comparison module, a data importing module, and a data display module;
the AOI detection module is in communication connection with the master control module, the weight detection module is in communication connection with the master control module, the data receiving module is in communication connection with the AOI detection module, the weight detection module is in communication connection with the data receiving module, the data processing module is in communication connection with the data analysis module, the data analysis module is in communication connection with the data comparison module, the data importing module is in communication connection with the data comparison module, and the data comparison module is in communication connection with the data display module;
the general control module is used for sending a control instruction to the AOI detection module and the weight detection module, the AOI detection module is used for collecting detected printed board information and sending the collected printed board information to the data receiving module, the weight detection module is used for detecting the weight information of the printed board and sending the collected printed board weight information to the data receiving module, the data receiving module is used for sending the received data to the data processing module for data processing, the data processing module is used for receiving the data for punctuation processing and sending the punctuated data to the data analysis module for data analysis, the data analysis module is used for analyzing the received data, the analyzed data is sent to the data comparison module, and the data import module is used for importing standard printed board data into the data comparison module, the data comparison module compares the analyzed data with the standard printed board data after receiving the standard printed board data and the data analyzed by the data analysis module, the compared data can be sent to the data display module, the data display module can display and process the data after receiving the data, and the wrong board information sending module can send the printed board information with the defects to the mobile terminal of a worker;
after the data collected by the AOI detection module is constructed into a data model, the data model is sent to the data receiving module, the weight detection module can continuously collect the printed board weight information for preset times, the data processing module can mark characteristic points on the data model with good components and process the characteristic points, and the specific marking and processing processes of the characteristic points are as follows:
the method comprises the following steps: selecting the surface with the largest area and the surface with the smallest area, and respectively marking the surfaces as SmaxAnd Smin，SmaxAnd SminAre all square;
step two: will SmaxAre respectively marked as feature points, which are respectively marked as a1, a2, A3 and a4 in clockwise order;
step three: will SminAre respectively marked as SminLabeled in clockwise order as B1, B2, B3, and B4, respectively;
step four: will SmaxA straight line L1 can be obtained by connecting the point A1 with the point A2;
step five: will SmaxA straight line L2 can be obtained by connecting the point A2 with the point A3;
step six: will SmaxThe connection line of the A1 point and the A3 point can obtain a slant line L3;
step seven: will SminA line connecting the point B1 and the point B2 can obtain a straight line L4;
step eight: will SminA line connecting the point B2 and the point B3 can obtain a straight line L5;
step nine: will SminThe connection line of the point B1 and the point B3 can obtain a slant line L6;
the data processing module also marks each printed board, and the specific marking process is as follows: the data processing module will label the printed board detected from the first one as Y1, and the printed board detected from the second one as Y2 … … nth;
the data analysis module analyzes the received data information and calculates a model coefficient, the data imported by the data import module calculates the model coefficient when the data is imported into the data import module, the data imported by the data import module comprises weight data of a standard printed board, and the data comparison module compares the weight data firstly;
the data display module can simultaneously display the data of the standard printed board and the data of the printed board collected in real time in parallel, and the wrong board information sending module can extract and send serial number information of the printed board with larger flaws and incapable of being used to workers.
The process of calculating the model coefficients by the data analysis module is as follows:
SS 1: measuring the length of L1, and marking the value of the length as Qv 1;
SS 2: the length of L2 was measured and its value was labeled Dv 1;
SS 3: the value of the length of L3 was measured and labeled as Xv 1;
SS 4: by the formula Qv1 Dv1/Xv1 ═ CvmaxCan obtain SmaxOf the model coefficient Cvmax；
SS 5: measuring the length of L4, and marking the value of the length as Qv 2;
SS 6: the length of L5 was measured and its value was labeled Dv 2;
SS 7: measuring the length of L6, and marking the length value thereof as XV 2;
SS 8: by the formula Qv2 Dv2/Xv2 ═ CvminCan obtain SminOf the model coefficient Cvmin。
The data comparison module can compare the collected weight information of the detected printed board with the weight information of the imported standard printed board, and the specific comparison process is as follows:
(1): marking the printed board weight data collected in real time as Zp 1;
(2): marking the standard printed board weight data imported by the data import module as Zp 2;
(3): by the formula Zp 1-Zp 2 ═ ZpDifference (D)The weight difference value Zp between the printed board and the sample voice board detected in real time can be obtainedDifference (D)；
(4): when | ZpDifference (D)If the | is larger than a preset value, the printed board is over large in flaw and specific AOI detection is not performed any more;
(5): when | ZpDifference (D)If the | is smaller than a preset value, the printed board is over large in flaw and specific AOI detection is not performed any more;
(6): when | ZpDifference (D)If | is within the preset value range, the printed board can be used, and specific AOI detection is required.
The data comparison module compares the model coefficients after the weight comparison is passed, and the specific comparison process is as follows:
1): selecting the surface mark of the maximum area of the standard printed board imported in the data import module as Simax；
2): selecting a face mark with the minimum area of the standard printed board imported in the data import module as Simin；
3): calculating model coefficient Si of standard printed board by combining steps from step one to step nine with steps from SS1 to SS7maxModel coefficients Civ ofmaxAnd SiminModel coefficients Civ ofmin；
4): by the formula Cvmax－Civmax＝C1Difference (D)The difference C1 can be obtainedDifference (D)；
5): by the formula Cvmin－Civmin＝C2Difference (D)Can be made ofThe difference C2 is obtainedDifference (D)；
6): when the difference value is C1Difference (D)Greater than a predetermined value, C2Difference (D)If the defect is larger than the preset value, the printed board is large in defect and cannot be used;
7): when the difference value is C1Difference (D)Greater than a predetermined value, C2Difference (D)If the defect is smaller than the preset value, the printed board is large in defect and cannot be used;
8): when the difference value is C1Difference (D)Less than the predetermined value, C2Difference (D)If the defect is larger than the preset value, the printed board is large in defect and cannot be used;
9): when the difference value is C1Difference (D)Less than the predetermined value, C2Difference (D)If the defect is smaller than the preset value, the printed board is large in defect and cannot be used;
10): when the difference value is C1Difference (D)Within the range of preset values, C2Difference (D)Within the preset value range, the printed board is indicated to be small in flaw and can be used.
The utility model provides a AOI printed board detecting system, at work, the module is always controlled to be used for sending control command to AOI detection module and weight detection module, AOI detection module can gather the printed board information that is detected to will gather printed board information and send to the data receiving module in, weight detection module is used for detecting the weight information of printed board, can carry out the real-time weight information that detects out the printed board before AOI detects, and through formula Zp 1-Zp 2 be ZpDifference (D)The weight difference value Zp between the printed board and the sample voice board detected in real time can be obtainedDifference (D)And according to ZpDifference (D)The absolute value can judge whether the printed board detected in real time is a product with larger flaws or not, the data receiving module can send the received data to the data processing module for data processing, the data processing module receives the data for punctuation processing and sends the punctuated data to the data analyzing module for data analysis, the data analyzing module can analyze the received data, the analyzed data can be sent to the data comparing module, the data importing module can import the standard printed board data into the data comparing module, and the data comparing module receives the standard printed board data and the data analyzed by the data analyzing moduleThe analyzed data is then compared to standard print plate data by the formula Qv1 Dv1/Xv1 CvmaxCan obtain SmaxOf the model coefficient CvmaxThen, the formula is represented by Qv2 Dv2/Xv2 ═ CvminCan obtain SminOf the model coefficient CvminC is CvmaxAnd CvminComparing the data with the data imported in the data import module through a formula Cvmax－Civmax＝C1Difference (D)And formula Cvmin－Civmin＝C2Difference (D)The difference C1 can be obtainedDifference (D)And the difference C2Difference (D)Then according to the difference C1Difference (D)And the difference C2Difference (D)The quality information of the printed board is judged and detected, the compared data can be sent to the data display module, the data display module can display and process the data after receiving the data, and the wrong board information sending module can send the printed board information with flaws to the mobile terminal of a worker.
Firstly, the invention can detect the weight information of the printed board in real time before AOI detection through the arranged weight detection module, and the weight information is Zp 1-Zp 2Difference (D)The weight difference value Zp between the printed board and the sample voice board detected in real time can be obtainedDifference (D)And according to ZpDifference (D)The absolute value can judge whether the printed board detected in real time is a product with larger defects or not, when the detected product is the product with larger defects, AOI detection is not carried out any more, the system can carry out pre-detection, meanwhile, the accuracy of the detection result is ensured, the detection efficiency is improved, and the system is more worthy of popularization and use;
the invention can carry out detailed and rapid detection on the printed board after the pre-detection is qualified by matching the arranged data processing module with the data analysis module and the data comparison module, and the data comparison module carries out the detection on the printed board in detail and rapidly by the formula of Qv1 Dv1/Xv1 ═ CvmaxCan obtain SmaxOf the model coefficient CvmaxThen, the formula is represented by Qv2 Dv2/Xv2 ═ CvminCan obtain SminOf the model coefficient CvminC is CvmaxAnd CvminAnd in the data import moduleComparing the imported data by a formula Cvmax－Civmax＝C1Difference (D)And formula Cvmin－Civmin＝C2Difference (D)The difference C1 can be obtainedDifference (D)And the difference C2Difference (D)Then according to the difference C1Difference (D)And the difference C2Difference (D)The quality information of the printed board is judged and detected, so that the detection speed of the system is further improved, and the system can detect the printed board more quickly.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (4)
1. The AOI printed board detection system is characterized by comprising a master control module, an AOI detection module, a weight detection module, a data receiving module, a data processing module, a data analysis module, a data comparison module, a data import module, a data display module and a wrong board information sending module;
the AOI detection module is in communication connection with the master control module, the weight detection module is in communication connection with the master control module, the data receiving module is in communication connection with the AOI detection module, the weight detection module is in communication connection with the data receiving module, the data processing module is in communication connection with the data analysis module, the data analysis module is in communication connection with the data comparison module, the data importing module is in communication connection with the data comparison module, and the data comparison module is in communication connection with the data display module;
the general control module is used for sending a control instruction to the AOI detection module and the weight detection module, the AOI detection module is used for collecting detected printed board information and sending the collected printed board information to the data receiving module, the weight detection module is used for detecting the weight information of the printed board and sending the collected printed board weight information to the data receiving module, the data receiving module is used for sending the received data to the data processing module for data processing, the data processing module is used for receiving the data for punctuation processing and sending the punctuated data to the data analysis module for data analysis, the data analysis module is used for analyzing the received data, the analyzed data is sent to the data comparison module, and the data import module is used for importing standard printed board data into the data comparison module, the data comparison module compares the analyzed data with the standard printed board data after receiving the standard printed board data and the data analyzed by the data analysis module, the compared data can be sent to the data display module, the data display module can display and process the data after receiving the data, and the wrong board information sending module can send the printed board information with the defects to the mobile terminal of a worker;
after the data collected by the AOI detection module is constructed into a data model, the data model is sent to the data receiving module, the weight detection module can continuously collect the printed board weight information for preset times, the data processing module can mark characteristic points on the data model with good components and process the characteristic points, and the specific marked characteristic points are processed in the following process:
the method comprises the following steps: selecting the surface with the largest area and the surface with the smallest area, and respectively marking the surfaces as SmaxAnd Smin，SmaxAnd SminAre all square;
step two: will SmaxAre respectively marked as feature points, which are respectively marked as a1, a2, A3 and a4 in clockwise order;
step three: will SminAre respectively marked as SminLabeled in clockwise order as B1, B2, B3, and B4, respectively;
step four: will SmaxA straight line L1 can be obtained by connecting the point A1 with the point A2;
step five: will SmaxThe connection of the points A2 and A3 can be obtainedLine L2;
step six: will SmaxThe connection line of the A1 point and the A3 point can obtain a slant line L3;
step seven: will SminA line connecting the point B1 and the point B2 can obtain a straight line L4;
step eight: will SminA line connecting the point B2 and the point B3 can obtain a straight line L5;
step nine: will SminThe connection line of the point B1 and the point B3 can obtain a slant line L6;
the data processing module also marks each printed board, and the specific marking process is as follows:
the data processing module will label the printed board detected from the first one as Y1, and the printed board detected from the second one as Y2 … … nth;
the data analysis module analyzes the received data information and calculates a model coefficient, the data imported by the data import module calculates the model coefficient when the data is imported into the data import module, the data imported by the data import module comprises weight data of a standard printed board, and the data comparison module compares the weight data firstly;
the data display module can simultaneously display the data of the standard printed board and the data of the printed board collected in real time in parallel, and the wrong board information sending module can extract and send serial number information of the printed board with larger flaws and incapable of being used to workers.
2. The AOI printed board inspection system according to claim 1, wherein the data analysis module calculates the model coefficients as follows:
SS 1: measuring the length of L1, and marking the value of the length as Qv 1;
SS 2: the length of L2 was measured and its value was labeled Dv 1;
SS 3: the value of the length of L3 was measured and labeled as Xv 1;
SS 4: by the formula Qv1 Dv1/Xv1= CvmaxCan obtain SmaxOf the model coefficient Cvmax；
SS 5: measuring the length of L4, and marking the value of the length as Qv 2;
SS 6: the length of L5 was measured and its value was labeled Dv 2;
SS 7: measuring the length of L6, and marking the length value thereof as XV 2;
SS 8: by the formula Qv2 Dv2/Xv2= CvminCan obtain SminOf the model coefficient Cvmin。
3. The AOI printed board detection system according to claim 2, wherein the data comparison module compares the collected detected printed board weight information with the weight information of the imported standard printed board, and the specific comparison process is as follows:
(1): marking the printed board weight data collected in real time as Zp 1;
(2): marking the standard printed board weight data imported by the data import module as Zp 2;
(3): by the formula Zp 1-Zp 2= ZpDifference (D)The weight difference value Zp between the printed board and the sample printed board detected in real time can be obtainedDifference (D)；
(4): when | ZpDifference (D)If the | is larger than a preset value, the printed board is over large in flaw and specific AOI detection is not performed any more;
(5): when | ZpDifference (D)If the | is smaller than a preset value, the printed board is over large in flaw and specific AOI detection is not performed any more;
(6): when | ZpDifference (D)If | is within the preset value range, the printed board can be used, and specific AOI detection is required.
4. The AOI printed board detection system according to claim 3, wherein the data comparison module compares the model coefficients after the weight comparison is passed, and the specific comparison process is as follows:
1): selecting the target imported in the data import moduleThe maximum area of the quasi-printed board is marked as Simax；
2): selecting a face mark with the minimum area of the standard printed board imported in the data import module as Simin；
3): calculating model coefficient Si of standard printed board by combining steps from step one to step nine with steps from SS1 to SS7maxModel coefficients Civ ofmaxAnd SiminModel coefficients Civ ofmin；
4): by the formula Cvmax－Civmax=C1Difference (D)The difference C1 can be obtainedDifference (D)；
5): by the formula Cvmin－Civmin=C2Difference (D)The difference C2 can be obtainedDifference (D)；
6): when the difference value is C1Difference (D)Greater than a predetermined value, C2Difference (D)If the defect is larger than the preset value, the printed board is large in defect and cannot be used;
7): when the difference value is C1Difference (D)Greater than a predetermined value, C2Difference (D)If the defect is smaller than the preset value, the printed board is large in defect and cannot be used;
8): when the difference value is C1Difference (D)Less than the predetermined value, C2Difference (D)If the defect is larger than the preset value, the printed board is large in defect and cannot be used;
9): when the difference value is C1Difference (D)Less than the predetermined value, C2Difference (D)If the defect is smaller than the preset value, the printed board is large in defect and cannot be used;
10): when the difference value is C1Difference (D)Within the range of preset values, C2Difference (D)Within the preset value range, the printed board is indicated to be small in flaw and can be used.
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| CN201115330Y (en) * | 2007-09-07 | 2008-09-10 | 陈政平 | A printed circuit board detection device |
| CN201440128U (en) * | 2009-07-13 | 2010-04-21 | 北京航星科技有限公司 | Automatic optical detection system for PCB defect detection |
| WO2012150782A1 (en) * | 2011-05-02 | 2012-11-08 | 주식회사 미르기술 | Vision testing device using polarizing plate and multi-lattice pattern |
| CN207541222U (en) * | 2017-12-19 | 2018-06-26 | 深圳市长卓电子科技有限公司 | A kind of tester for PCB quality testings |
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| US9756313B2 (en) * | 2013-06-09 | 2017-09-05 | Camtek Ltd. | High throughput and low cost height triangulation system and method |
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|---|---|---|---|---|
| CN201115330Y (en) * | 2007-09-07 | 2008-09-10 | 陈政平 | A printed circuit board detection device |
| CN201440128U (en) * | 2009-07-13 | 2010-04-21 | 北京航星科技有限公司 | Automatic optical detection system for PCB defect detection |
| WO2012150782A1 (en) * | 2011-05-02 | 2012-11-08 | 주식회사 미르기술 | Vision testing device using polarizing plate and multi-lattice pattern |
| CN207541222U (en) * | 2017-12-19 | 2018-06-26 | 深圳市长卓电子科技有限公司 | A kind of tester for PCB quality testings |
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