CN115023049B - Automatic punching control method and system for flexible circuit board - Google Patents
Automatic punching control method and system for flexible circuit board Download PDFInfo
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- CN115023049B CN115023049B CN202210829973.0A CN202210829973A CN115023049B CN 115023049 B CN115023049 B CN 115023049B CN 202210829973 A CN202210829973 A CN 202210829973A CN 115023049 B CN115023049 B CN 115023049B
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K3/00—Apparatus or processes for manufacturing printed circuits
- H05K3/0011—Working of insulating substrates or insulating layers
- H05K3/0044—Mechanical working of the substrate, e.g. drilling or punching
- H05K3/0047—Drilling of holes
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K3/00—Apparatus or processes for manufacturing printed circuits
- H05K3/0005—Apparatus or processes for manufacturing printed circuits for designing circuits by computer
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention provides an automatic punching control method and system of a flexible circuit board, relating to the field of metal processing, wherein the method comprises the following steps: obtaining historical drilling machine rotating speed data; obtaining a historical punched distribution image; performing multi-feature analysis, and determining hole spacing features, hole depth offset features and hole drilling fouling features; performing primary weight distribution, determining a rotating speed weight ratio and a punching weight ratio, and comparing the punching weight ratio with the punching weight ratio; performing secondary weight distribution, and determining a hole spacing weight proportion, a hole depth weight proportion and a hole drilling pollution weight proportion; performing weight calculation to determine an actual punching quality value; and (5) carrying out punching control. The problem of difficult accurate punching to the flexible line way board, lead to the actual quality of punching to be difficult to satisfy the technical problem who predetermines the standard, through combining the rotational speed of punching, hole interval, hole degree of depth, carry out weight calculation and confirm the actual quality of punching, reached and punched to the flexible line way board and carried out intelligent control, guaranteed the technical effect of the control scheme rationality of punching.
Description
Technical Field
The invention relates to the field of metal processing, in particular to an automatic punching control method and system for a flexible circuit board.
Background
Flexible line way board (FPC for short is called in Flexible Printed Circuit), be the Printed Circuit board who makes with polyimide or polyester film as the substrate, polyimide and polyester film are the insulating film material, there is higher viscidity in material itself, the powder that produces during drilling easily bonds on the drill bit, make the dust exhaust degree of difficulty of drill bit big, lead to the drill bit to appear boring dirt, the rotational speed of punching, the hole interval, the hole degree of depth is difficult to carry out the correspondence optimization with the actual data of punching, the actual quality of punching that leads to the Flexible line way board is difficult to satisfy preset standard.
The flexible circuit board punching device has the technical problem that the actual punching quality is difficult to meet the preset standard due to the fact that the flexible circuit board is difficult to punch accurately in the prior art.
Disclosure of Invention
The application provides an automatic punching control method and system for the flexible circuit board, the technical problem that the actual punching quality is difficult to meet the preset standard due to the fact that precise punching is difficult to carry out on the flexible circuit board is solved, the actual punching quality is determined by weight calculation through combining the punching rotating speed, the hole spacing and the hole depth, intelligent and precise control over punching on the flexible circuit board is achieved, and the reasonability of the punching control scheme is guaranteed.
In view of the above problems, the present application provides an automatic punching control method and system for a flexible printed circuit.
In a first aspect, the present application provides an automatic punching control method for a flexible printed circuit, where the method is applied to an automatic punching control system, where the system is in communication connection with a rotation speed acquisition device and an image acquisition device, and the method includes: utilizing the rotating speed acquisition device to acquire the historical rotating speed of the drill bit of the target flexible circuit board so as to obtain the historical rotating speed data of the drilling machine; utilizing the image acquisition device to acquire historical images in the punching process of the target flexible circuit board so as to obtain historical punched distribution images; performing multi-feature analysis on the historical punched distribution image to determine hole spacing features, hole depth offset features and hole drilling fouling features; performing primary weight distribution on the historical drilling machine rotating speed data and the historical punched distribution image by using weight distribution logic to determine a rotating speed weight ratio and a punching weight ratio; performing secondary weight distribution on the punching weight proportion by using the weight distribution logic to determine a hole spacing weight proportion corresponding to the hole spacing characteristic, a hole depth weight proportion corresponding to the hole depth offset characteristic and a hole drilling fouling weight proportion corresponding to the hole drilling fouling characteristic; carrying out weight calculation on actual punching data of the target flexible circuit board according to the rotating speed weight ratio, the hole distance weight ratio, the hole depth weight ratio and the hole drilling pollution weight ratio so as to determine an actual punching quality value; and based on the actual punching quality value, punching control is carried out on the target flexible circuit board.
In a second aspect, the present application provides an automatic punching control system for a flexible circuit board, the system comprising: the data acquisition unit is used for acquiring the historical rotating speed of the punching drill bit of the target flexible circuit board by using the rotating speed acquisition device so as to obtain the rotating speed data of the historical drilling machine; the image acquisition unit is used for acquiring historical images in the punching process of the target flexible circuit board by using an image acquisition device so as to obtain historical punched distribution images; the characteristic analysis unit is used for carrying out multi-characteristic analysis on the historical punched distribution image so as to determine hole spacing characteristics, hole depth offset characteristics and hole drilling pollution characteristics; the primary weight distribution unit is used for performing primary weight distribution on the historical drilling machine rotating speed data and the historical punched distribution image by using weight distribution logic so as to determine a rotating speed weight ratio and a punching weight ratio; a secondary weight distribution unit, configured to perform secondary weight distribution on the punching weight proportion by using the weight distribution logic, so as to determine a hole distance weight proportion corresponding to the hole distance feature, a hole depth weight proportion corresponding to the hole depth bias feature, and a hole drilling fouling weight proportion corresponding to the hole drilling fouling feature; the weight calculation unit is used for carrying out weight calculation on actual punching data of the target flexible circuit board according to the rotating speed weight ratio, the hole spacing weight ratio, the hole depth weight ratio and the hole drilling pollution weight ratio, and is used for determining an actual punching quality value; and the intelligent control unit is used for carrying out punching control on the target flexible circuit board based on the actual punching quality value.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the method comprises the steps of obtaining historical drilling machine rotating speed data, obtaining historical punched distribution images, conducting multi-feature analysis, determining hole spacing features, hole depth bias features and hole drilling fouling features, conducting primary weight distribution on the historical drilling machine rotating speed data and the historical punched distribution images, determining rotating speed weight proportion and punching weight proportion, conducting secondary weight distribution on the punching weight proportion, determining hole spacing weight proportion, hole depth weight proportion and hole drilling fouling weight proportion, conducting weight calculation on actual punching data of a target flexible circuit board, determining an actual punching quality value and conducting punching control on the target flexible circuit board. This application embodiment is through combining the rotational speed of punching, hole interval, the hole degree of depth, carries out the weight and calculates the quality of confirming actually punching, has reached and has punched flexible line way board and carry out intelligent control, guarantees the technological effect of the control scheme rationality that punches.
Drawings
Fig. 1 is a schematic flow chart of an automatic punching control method for a flexible circuit board according to the present application;
FIG. 2 is a schematic flow chart of determining hole pitch characteristics, hole depth offset characteristics and hole contamination characteristics of the automatic punching control method for the flexible circuit board according to the present application;
fig. 3 is a schematic flow chart illustrating the process of obtaining the weight ratio of each determination factor in the automatic punching control method for the flexible printed circuit board according to the present application;
fig. 4 is a schematic structural diagram of an automatic punching control system of a flexible printed circuit according to the present application.
Description of the reference numerals: the system comprises a data acquisition unit 11, an image acquisition unit 12, a feature analysis unit 13, a primary weight distribution unit 14, a secondary weight distribution unit 15, a weight calculation unit 16 and an intelligent control unit 17.
Detailed Description
The application provides an automatic punching control method and system for the flexible circuit board, the technical problem that the actual punching quality is difficult to meet the preset standard due to the fact that precise punching is difficult to carry out on the flexible circuit board is solved, the actual punching quality is determined by weight calculation through combining the punching rotating speed, the hole spacing and the hole depth, intelligent and precise control over punching on the flexible circuit board is achieved, and the reasonability of the punching control scheme is guaranteed.
Example one
As shown in fig. 1, the present application provides an automatic punching control method for a flexible printed circuit, where the method is applied to an automatic punching control system, the system is connected to a rotation speed acquisition device and an image acquisition device in a communication manner, and the method includes:
s100: utilizing the rotating speed acquisition device to acquire the historical rotating speed of the drill bit of the target flexible circuit board so as to obtain the historical rotating speed data of the drilling machine;
s200: utilizing the image acquisition device to acquire historical images in the punching process of the target flexible circuit board so as to obtain historical punched distribution images;
specifically, the communication connection is simply that communication is formed between the automatic punching control system, a rotating speed acquisition device and an image acquisition device through transmission interaction of signals, the rotating speed acquisition device can be a photoelectric rotating speed sensor, acquisition of rotating speed is achieved through reflected light beams and emitted light beams, the target flexible circuit board is a circuit board with a punching requirement, historical rotating speed acquisition is performed on a punching drill bit of the target flexible circuit board by using the rotating speed acquisition device in the operation process of the automatic punching control system, model size data of the punching drill bit is consistent with size data corresponding to the punching requirement of the target flexible circuit board, historical drilling machine rotating speed data is obtained, the historical drilling machine rotating speed data comprises related index parameters such as drilling machine rotating speed and data acquisition time, the image acquisition device can be an ultra-high-definition camera or other related image acquisition devices, historical image acquisition is performed on the punching process of the target flexible circuit board in the operation process of the automatic punching control system, a historical punched distribution image is obtained, the historical punched distribution image comprises historical image data and acquisition time information of the target flexible circuit board, the acquisition frequency of the image acquisition device is consistent with the acquisition frequency of the acquisition device, and the historical punched distribution data is provided for historical punching analysis of the historical drilling machine.
Further specifically, the resolution of the image acquisition device is limited to ensure the reliability of the acquired image, and generally, the line pitch of the flexible circuit board may be 8mils (0.2 mm), the aperture may be 0.25mm, the line and the aperture of the flexible circuit board need to be acquired, the resolution of the image acquisition device needs to be limited, and specifically, the resolution needs to be further analyzed in combination with the actual data information of the flexible circuit board, and generally, the resolution is often expressed in a 640 × 480 or 1920 × 1080 form, the resolution corresponds to the pixel point of the acquired image, the resolution of the image acquisition device is correspondingly limited, and a technical support is provided for ensuring the definition of the line and the aperture image of the flexible circuit board.
S300: performing multi-feature analysis on the historical punched distribution image to determine hole spacing features, hole depth offset features and hole drilling fouling features;
further, as shown in fig. 2, by performing multi-feature analysis on the historical punched distribution image, the step S300 further includes:
s310: sequentially analyzing drilling elements of all distribution images in the historical punched distribution images to obtain a drilling element set of all images;
s320: carrying out differential average analysis on every two same elements in the drilling element set of each image so as to determine the differential average distribution of each element;
s330: and performing extreme value screening on the differentiated average distribution of the elements to determine the hole spacing characteristic, the hole depth offset characteristic and the hole drilling fouling characteristic.
Specifically, from hole interval characteristic, hole depth offset characteristic and hole brill dirty characteristic, it is right the history distribution image that punches carries out many characteristic analysis, hole interval characteristic is the interval characteristic of distribution hole side by side in the history distribution image that punches, can be hole central point distance information other relevant index characteristic promptly, carry out characteristic analysis to the pore wall in the history distribution image that punches, confirm hole depth offset characteristic, hole depth offset characteristic includes but not limited to hole depth information, hole surface central point coordinate information, hole bottom surface central point coordinate information, hole brill dirty characteristic is that the data analysis is obtained from the drilling course of working, because of the base material of flexible line board itself has higher viscidity, the powder that produces during drilling easily bonds on the drill bit for the dust removal degree of difficulty of drill bit is big, and the heat is difficult to distribute, leads to the drill bit to appear boring dirty, carries out characteristic analysis to the process of punching of history distribution image that punches, confirms hole brill dirty characteristic.
Specifically, based on a convolution analysis processing technology, a convolution neural network is utilized to sequentially analyze drilling elements of all distribution images in the historical punched distribution images, the convolution characteristics of all distribution images in the historical punched distribution images are determined, and characteristic information is sorted to obtain drilling element sets of all images; the differential average analysis can verify the difference between the elements, determine whether the difference statistics is necessary difference, exemplarily explain that the differential average analysis statistics is performed on male and female gender, determine that the number of people with male and female gender is not significantly different, perform the differential average analysis statistics on the academic calendar and positions, determine that the academic calendar and the positions are significantly different, exemplarily explain that the questionnaire statistical verification is performed and that a certain reference value exists, the explanation is for assisting understanding, does not limit the actual data analysis, perform the differential average analysis between two same elements in the drilling element sets of the images, determine whether the difference is necessary difference, and determine the differential average distribution of the elements; the extremum screening can select the maximum and minimum values in the differentiated mean distribution of each element, and generally adopts data comparison to determine the hole spacing characteristic, the hole depth bias characteristic and the hole drilling fouling characteristic, so as to provide a stable and effective data basis for subsequent data analysis.
Further specifically, when a drilling problem occurs, generally, two expression forms exist, namely that drilling dirt is fully adhered in a chip removal groove of the drill bit on the drill bit, burrs and nail heads generated after drilling can be expressed on the circuit board, and feature recognition analysis is carried out in the drilling machining process to determine the hole drilling dirt features, so that technical support is provided for ensuring the reasonability of the drilling control parameter index.
Further, performing a differential average analysis on two same elements in the image drilling element sets, where the step S320 further includes:
s321: performing single drilling element extraction on the drilling element set of each image to obtain an element feature set corresponding to the single drilling element;
s322: performing space conversion on the element feature set, and calculating the space distance between every two element features to obtain a pairwise space distance set;
s323: and averaging the two spatial distance sets to determine the differentiated average distribution of the single drilling factor.
Specifically, based on the image drilling element sets, carrying out area division, wherein the area division is related to the distribution of image holes, each block comprises a single drilling hole, and extracting the single drilling element from each block to obtain an element feature set corresponding to the single drilling element; based on the correspondence between the element feature set and the spatial position of each block, performing spatial conversion on the element feature set, and calculating the spatial distance between every two element features successively to obtain every two spatial distance sets; and the averaging process is to determine the average value of the two spatial distance sets, carry out the averaging process on the two spatial distance sets, determine the differential average distribution of the single drilling factor and provide data theoretical support for the subsequent data analysis and processing.
S400: performing primary weight distribution on the historical drilling machine rotating speed data and the historical punched distribution image by using weight distribution logic to determine a rotating speed weight ratio and a punching weight ratio;
further, a weight assignment is performed on the historical drill rotation speed data and the historical punched distribution image, and the step S400 further includes:
s410: based on big data, collecting historical drilling quality corresponding to the historical drilling machine rotating speed data and the historical drilling distribution image so as to determine a historical drilling quality set;
s420: the historical drilling machine rotating speed data, the historical punched distribution image and the historical drilling quality set are in one-to-one correspondence, and a drilling machine rotating speed-punched image-drilling quality distribution set is obtained;
s430: analyzing the quality influence of the drilling machine rotating speed-drilling image-drilling quality distribution set one by one to obtain a drilling machine rotating speed influence parameter and a drilling image influence parameter;
s440: and performing weight value conversion on the drilling machine rotating speed influence parameter and the punching image influence parameter to determine the rotating speed weight ratio and the punching weight ratio.
Specifically, the historical drilling machine rotating speed data and the historical punched distribution image are subjected to primary weight distribution by combining index difference operation and utilizing weight distribution logic, a rotating speed weight ratio and a punching weight ratio are determined, and the reliability of the weight ratio corresponding to the weight distribution is effectively ensured.
Specifically, the historical drilling quality corresponds to drilling quality index parameters, the drilling quality index parameters include but are not limited to inclination measuring parameters (drilling inclination angle and drilling azimuth angle) and hole depth parameters, historical drilling quality corresponding to the historical drilling machine rotation speed data and the historical drilling distribution image is collected based on big data, data information is integrated, and a historical drilling quality set is combined; based on the spatial correspondence of the drilling holes of the historical drilling distribution images and the data correlation correspondence of the historical drilling machine rotating speed data and the historical drilling quality set, the historical drilling machine rotating speed data, the historical drilling distribution images and the historical drilling quality set are in one-to-one correspondence, data information binding is carried out, and a drilling machine rotating speed-drilling image-drilling quality distribution set is obtained; the quality influence analysis can be performed on the drilling machine rotating speed-drilling image-drilling hole quality distribution set one by one through a TOPSIS (Technique for Order Preference by simple precision to ideal distance method) method to obtain drilling machine rotating speed influence parameters and drilling hole image influence parameters, generally, the drilling machine rotating speed is too high, heat is easily generated due to too high rotating speed, serious drilling fouling and \ or burning of inner layers can be possibly caused, and the drilling hole quality problem can be caused; based on a TOPSIS method, the merit score of each index vector is obtained by calculating the distance (difference) between each index vector and the worst vector, the solution with the highest score is the optimal solution, the rotating speed influence parameters of the drilling machine and the punching image influence parameters are subjected to weight value conversion by combining the merit score of each index vector, the rotating speed weight ratio and the punching weight ratio are determined, and the reasonability of a primary weight distribution result is ensured.
S500: performing secondary weight distribution on the punching weight proportion by using the weight distribution logic to determine a hole spacing weight proportion corresponding to the hole spacing characteristic, a hole depth weight proportion corresponding to the hole depth offset characteristic and a hole drilling fouling weight proportion corresponding to the hole drilling fouling characteristic;
further, as shown in fig. 3, performing secondary weight distribution on the puncturing weight proportion, where the step S500 further includes:
s510: constructing a judgment matrix of the punching image influence parameters by using an APH (advanced persistent threat) hierarchical method, wherein the judgment matrix comprises hole spacing judgment factors, hole depth judgment factors and hole drilling fouling judgment factors;
s520: embedding a drilling quality evaluation expert system into the judgment matrix, and grading the hole spacing judgment factors, the hole depth judgment factors and the hole drilling pollution judgment factors one by one to obtain grading results of the judgment factors;
s530: and summarizing the scoring results of the judgment factors to calculate and obtain the weight ratio of the judgment factors.
Specifically, probability analysis is performed through an APH (analytic hierarchy process) hierarchical method, secondary weight distribution is performed on the punching weight proportion by using the weight distribution logic, the hole distance weight proportion corresponding to the hole distance features, the hole depth weight proportion corresponding to the hole depth bias features and the hole drilling fouling weight proportion corresponding to the hole drilling fouling features are determined, and weight proportion distribution is performed to provide data support for subsequent data analysis.
Specifically, a judgment matrix of the punching image influence parameters is constructed by using an APH (advanced persistent programming) hierarchical method, the judgment matrix is a forward matrix and a backward matrix, the judgment matrix comprises a hole distance judgment factor, a hole depth judgment factor and a hole drilling pollution judgment factor, the hole distance judgment factor, the hole depth judgment factor and the hole drilling pollution judgment factor are principle layers of the APH hierarchical method, a decision-making target is that a drilled hole meets the standardized limitation of punching of a flexible circuit board in the flexible circuit board design specification of Chinese edition IPC-2223 2021, and the judgment matrix can be converted into a table by combining a scale method of 1 to 9; embedding a drilling quality evaluation expert system into the judgment matrix, and grading the hole spacing judgment factors, the hole depth judgment factors and the hole drilling pollution judgment factors one by one to obtain grading results of all the judgment factors; and summarizing the scoring results of the judgment factors through the table, calculating to obtain the weight proportion of the judgment factors, and providing technical support for improving the accuracy of the weight proportion obtained by secondary weight distribution.
More specifically, the AHP analytic hierarchy process is based on the principle that the larger the number is, the more important the weight is, the higher the weight is, and the importance of each factor is finally calculated. The AHP analytic hierarchy process is generally used for expert scoring, and multiple experts (generally 4 to 7) are directly allowed to provide scoring judgment matrices of relative importance, and then summarization is performed (generally, the maximum value and the minimum value are removed, then the average value is calculated to obtain the final judgment matrix, and finally the weight of each factor is calculated.
Further, the embodiment of the present application further includes:
s540: performing multi-round grading on each judgment factor by using the drilling quality evaluation expert system to obtain multi-round grading result distribution of each judgment factor;
s550: carrying out coefficient of variation analysis on the multi-round grading result distribution of each judgment factor so as to determine the grading fluctuation value of each judgment factor;
s560: and correcting the weight ratio of each judgment factor by using the score fluctuation value of each judgment factor.
Specifically, information retrieval is carried out through big data, parameter index similar retrieval is carried out based on historical drilling machine rotating speed data and historical punched distribution images, retrieved or obtained index parameter information is led into a knowledge base of an expert system, the drilling quality evaluation expert system is determined through a machine learning model and a bp back propagation algorithm, and multiple rounds of grading are carried out on each judgment factor by utilizing the drilling quality evaluation expert system for obtaining multiple rounds of grading result distribution of each judgment factor; the coefficient of variation analysis represents that relative measurement is carried out on the variability of different data, the coefficient of variation analysis is carried out on the distribution of the multi-round grading results of each judgment factor, the distribution characteristics of the multi-round grading results of each judgment factor are determined, the grading fluctuation value of each judgment factor is determined, exemplarily, the distribution characteristics correspond to normal distribution, the abnormal value (outlier) is generally called when the observed value is exceeded, in the normal distribution, the probability of the abnormal value is 5%, and the grading result corresponding to the abnormal value is determined as the grading fluctuation value of the judgment factor; and correcting the weight proportion of each judgment factor by using the score fluctuation value of each judgment factor, and optimizing the weight distribution by combining an information amount weight method to improve the accuracy of the weight proportion of each judgment factor.
More specifically, the information weight method is also called a coefficient of variation method, and is an objective weighting method. The method is suitable for being used for scoring by experts or comprehensively evaluating an evaluation object (interviewee) when interviewees score the interviewees, illustratively, 5 interviewees with basically consistent level difference score 10 interviewees, and if a certain interviewee scores the interviewee and the data variation coefficient value is smaller, the interviewee evaluates all the interviewees basically consistently, so that the carried information is smaller and the weight is lower; on the contrary, if the value of the coefficient of variation of the score data of a certain interviewer to the interviewer is larger, the evaluation difference of the interviewer to all the interviewers is larger, so that the carried information is large and the weight is higher.
S600: carrying out weight calculation on actual punching data of the target flexible circuit board according to the rotating speed weight ratio, the hole distance weight ratio, the hole depth weight ratio and the hole drilling pollution weight ratio so as to determine an actual punching quality value;
s700: and controlling the punching of the target flexible circuit board based on the actual punching quality value.
Specifically, the actual punching data is real-time punching data of the flexible circuit board, and the actual punching data of the target flexible circuit board is subjected to weight calculation through the rotating speed weight ratio, the hole distance weight ratio, the hole depth weight ratio and the hole drilling pollution weight ratio to determine an actual punching quality value; and based on the actual punching quality value and the preset standard punching quality value, punching control is carried out on the target flexible circuit board, and technical support is provided for ensuring the reliability of punching control signals.
Further, the step S700 of performing punching control on the target flexible printed circuit board further includes:
s710: judging whether the actual punching quality value meets a preset standard punching quality value or not;
s720: if the actual punching quality value does not meet the preset standard punching quality value, performing reverse weight analysis on the actual punching quality value to determine a difference weight ratio;
s730: and utilizing the drilling defect element corresponding to the difference weight ratio to perform drilling control on the target flexible circuit board.
Specifically, the preset standard punching quality value is the standardized limitation on punching of the flexible circuit board in IPC-2223 2021 Chinese edition 'flexible circuit board design Specification', and whether the actual punching quality value meets the preset standard punching quality value is judged; if the actual punching quality value meets the preset standard punching quality value, based on the actual punching quality value, punching control is carried out on the target flexible circuit board; the reverse weight analysis is to reversely input the actual punching quality value into an automatic punching control system by utilizing the weight distribution logic, determine an actual hole space weight ratio, an actual hole depth weight ratio, an actual hole drilling pollution weight ratio and an actual rotating speed weight ratio, perform reverse weight analysis on the actual punching quality value if the actual punching quality value does not meet the preset standard punching quality value, and determine a difference weight ratio based on the actual hole space weight ratio, the actual hole depth weight ratio, the actual hole drilling pollution weight ratio and the actual rotating speed weight ratio; the drilling defect elements comprise hole spacing defects, hole depth offset defects and hole drilling fouling defects, the drilling defect elements corresponding to the difference weight ratio are utilized to control the drilling of the target flexible circuit board, technical support is provided for ensuring the aperture of the flexible circuit board to meet relevant specifications, and technical support is provided for realizing relevant standards of drilling quality.
In summary, the automatic punching control method and system for the flexible circuit board provided by the application have the following technical effects:
the method comprises the steps of obtaining historical drilling machine rotating speed data, obtaining historical punched distribution images, conducting multi-feature analysis, determining hole spacing features, hole depth bias features and hole drilling fouling features, conducting primary weight distribution on the historical drilling machine rotating speed data and the historical punched distribution images, determining a rotating speed weight ratio and a punching weight ratio, conducting secondary weight distribution on the punching weight ratio, determining a hole spacing weight ratio, a hole depth weight ratio and a hole drilling fouling weight ratio, conducting weight calculation on actual punching data of a target flexible circuit board, determining an actual punching quality value, and conducting punching control on the target flexible circuit board. According to the automatic punching control method and system for the flexible circuit board, the punching rotating speed, the hole distance and the hole depth are combined, weight calculation is carried out to determine the actual punching quality, the intelligent control on punching of the flexible circuit board is achieved, and the technical effect of ensuring the reasonability of the punching control scheme is achieved.
The method comprises the steps of analyzing the drilling elements of all distribution images in historical punched distribution images in sequence to obtain the drilling element set of all images, carrying out differential average analysis on every two same elements, determining the differential average distribution of all elements, and carrying out extreme value screening to determine hole spacing characteristics, hole depth bias characteristics and hole drilling fouling characteristics. And a stable and effective data base is provided for subsequent data analysis.
Because the drilling quality evaluation expert system is adopted, multiple rounds of grading are carried out on each judgment factor, multiple rounds of grading result distribution of each judgment factor are obtained, variation coefficient analysis is carried out, the grading fluctuation value of each judgment factor is determined, and the weight ratio of each judgment factor is corrected. And the weight distribution is optimized by combining an information quantity weight method, so that the precision of the weight ratio of each judgment factor is improved.
Example two
Based on the same inventive concept as the automatic punching control method of the flexible circuit board in the foregoing embodiment, as shown in fig. 4, the present application provides an automatic punching control system of a flexible circuit board, wherein the system includes:
the data acquisition unit 11 is used for acquiring historical rotating speed of a punching drill bit of a target flexible circuit board by using a rotating speed acquisition device so as to obtain historical rotating speed data of a drilling machine;
the image acquisition unit 12 is used for acquiring historical images of the punching process of the target flexible circuit board by using an image acquisition device so as to obtain historical punched distribution images;
a feature analysis unit 13, wherein the feature analysis unit 13 is configured to perform multi-feature analysis on the historical punched distribution image to determine a hole pitch feature, a hole depth offset feature, and a hole contamination feature;
a primary weight distribution unit 14, wherein the primary weight distribution unit 14 is configured to perform primary weight distribution on the historical drilling machine rotation speed data and the historical punched distribution image by using weight distribution logic, so as to determine a rotation speed weight ratio and a punching weight ratio;
a secondary weight distribution unit 15, where the secondary weight distribution unit 15 is configured to perform secondary weight distribution on the perforation weight proportion by using the weight distribution logic, so as to determine a hole distance weight proportion corresponding to the hole distance feature, a hole depth weight proportion corresponding to the hole depth offset feature, and a hole drilling fouling weight proportion corresponding to the hole drilling fouling feature;
the weight calculation unit 16 is used for performing weight calculation on actual punching data of the target flexible circuit board according to the rotating speed weight ratio, the hole spacing weight ratio, the hole depth weight ratio and the hole drilling pollution weight ratio, and determining an actual punching quality value;
and the intelligent control unit 17 is used for carrying out punching control on the target flexible circuit board based on the actual punching quality value.
Further, the system comprises:
an element analysis unit, configured to perform sequential drilling element analysis on each distribution image in the historical drilled distribution images to obtain a drilling element set for each image;
the average analysis unit is used for carrying out differential average analysis on every two same elements in each image drilling element set so as to determine the differential average distribution of each element;
an extreme value screening unit for performing extreme value screening by differentiating the average distribution of the respective elements to determine the hole pitch feature, the hole depth bias feature, and the hole smear feature.
Further, the system comprises:
the element extraction unit is used for carrying out single drilling element extraction on each image drilling element set so as to obtain an element feature set corresponding to the single drilling element;
the space conversion unit is used for carrying out space conversion on the element feature set and calculating the space distance between every two element features so as to obtain a pairwise space distance set;
a distribution differentiation determination unit for averaging the sets of two spatial distances to determine a differentiation average distribution of the single drilling element.
Further, the system comprises:
the quality acquisition unit is used for acquiring historical drilling quality corresponding to the historical drilling machine rotating speed data and the historical drilling distribution image based on big data so as to determine a historical drilling quality set;
the distribution corresponding unit is used for carrying out one-to-one correspondence on the historical drilling machine rotating speed data, the historical punched distribution image and the historical drilling quality set so as to obtain a drilling machine rotating speed-punched image-drilling quality distribution set;
the quality influence analysis unit is used for carrying out quality influence analysis on the drilling machine rotating speed-punching image-punching quality distribution set one by one to obtain drilling machine rotating speed influence parameters and punching image influence parameters;
and the weight value conversion unit is used for performing weight value conversion on the drilling machine rotating speed influence parameter and the punching image influence parameter so as to determine the rotating speed weight ratio and the punching weight ratio.
Further, the system comprises:
the matrix construction unit is used for constructing a judgment matrix of the punching image influence parameters by utilizing an APH (advanced persistent threat) hierarchical method, wherein the judgment matrix comprises a hole spacing judgment factor, a hole depth judgment factor and a hole drilling fouling judgment factor;
the evaluation scoring unit is used for embedding a drilling quality evaluation expert system into the judgment matrix, and scoring the hole spacing judgment factor, the hole depth judgment factor and the hole drilling pollution judgment factor one by one to obtain a scoring result of each judgment factor;
and the factor summarizing unit is used for summarizing the scoring results of the judgment factors so as to calculate and obtain the weight proportion of the judgment factors.
Further, the system comprises:
the multi-round scoring unit is used for carrying out multi-round scoring on each judgment factor by utilizing the drilling quality evaluation expert system and obtaining multi-round scoring result distribution of each judgment factor;
the coefficient of variation analysis unit is used for carrying out coefficient of variation analysis on the multi-round grading result distribution of each judgment factor so as to determine the grading fluctuation value of each judgment factor;
and the weight ratio correcting unit is used for correcting the weight ratio of each judgment factor by using the score fluctuation value of each judgment factor.
Further, the system comprises:
the comparison and judgment unit is used for judging whether the actual punching quality value meets a preset standard punching quality value or not;
the reverse weight analysis unit is used for performing reverse weight analysis on the actual punching quality value if the actual punching quality value does not meet the preset standard punching quality value so as to determine a difference weight ratio;
and the punching control unit is used for utilizing the drilling defect element corresponding to the difference weight ratio to perform punching control on the target flexible circuit board.
The specification and drawings are merely illustrative of the present application, and various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Such modifications and variations of the present application are within the scope of the claims of the present application and their equivalents, and the present application is intended to include such modifications and variations.
Claims (8)
1. An automatic punching control method of a flexible circuit board is characterized in that the method is applied to an automatic punching control system, wherein the system is in communication connection with a rotating speed acquisition device and an image acquisition device, and the method comprises the following steps:
utilizing the rotating speed acquisition device to acquire historical rotating speed of a punching drill bit of the target flexible circuit board so as to obtain historical drilling machine rotating speed data;
utilizing the image acquisition device to acquire historical images in the punching process of the target flexible circuit board so as to obtain historical punched distribution images;
performing multi-feature analysis on the historical punched distribution image to determine hole spacing features, hole depth offset features and hole drilling fouling features;
performing primary weight distribution on the historical drilling machine rotating speed data and the historical punched distribution image by using weight distribution logic to determine a rotating speed weight ratio and a punching weight ratio;
performing secondary weight distribution on the punching weight proportion by using the weight distribution logic to determine a hole spacing weight proportion corresponding to the hole spacing characteristic, a hole depth weight proportion corresponding to the hole depth offset characteristic and a hole drilling fouling weight proportion corresponding to the hole drilling fouling characteristic;
performing weight calculation on actual punching data of the target flexible circuit board according to the rotating speed weight ratio, the hole distance weight ratio, the hole depth weight ratio and the hole drilling pollution weight ratio to determine an actual punching quality value;
and based on the actual punching quality value, punching control is carried out on the target flexible circuit board.
2. The method of claim 1, wherein performing multi-feature analysis on the historical punched distribution image comprises:
sequentially analyzing drilling elements of all distribution images in the historical punched distribution images to obtain a drilling element set of all images;
carrying out differentiation average analysis on every two same elements in each image drilling element set so as to determine differentiation average distribution of each element;
and performing extreme value screening on the differentiated average distribution of the elements to determine the hole spacing characteristic, the hole depth offset characteristic and the hole drilling fouling characteristic.
3. The method of claim 2, wherein performing a differential average analysis between two identical elements of the respective image borehole element sets comprises:
performing single drilling element extraction on the drilling element set of each image to obtain an element feature set corresponding to the single drilling element;
performing space conversion on the element feature set, and calculating the space distance between every two element features to obtain a pairwise space distance set;
and averaging the two spatial distance sets to determine the differentiated average distribution of the single drilling element.
4. The method of claim 3, wherein assigning a weight to the historical rig speed data and the historical perforated distribution image comprises:
based on big data, collecting historical drilling quality corresponding to the historical drilling machine rotating speed data and the historical drilling distribution image so as to determine a historical drilling quality set;
the historical drilling machine rotating speed data, the historical punched distribution image and the historical drilling quality set are in one-to-one correspondence, and a drilling machine rotating speed-punched image-drilling quality distribution set is obtained;
analyzing the quality influence of the drilling machine rotating speed-drilling image-drilling quality distribution set one by one to obtain a drilling machine rotating speed influence parameter and a drilling image influence parameter;
and performing weight value conversion on the drilling machine rotating speed influence parameter and the punching image influence parameter to determine the rotating speed weight ratio and the punching weight ratio.
5. The method of claim 4, wherein the secondary weight assignment of the puncturing weight fraction comprises:
constructing a judgment matrix of the punching image influence parameters by using an APH (advanced persistent threat) hierarchical method, wherein the judgment matrix comprises hole spacing judgment factors, hole depth judgment factors and hole drilling fouling judgment factors;
embedding a drilling quality evaluation expert system into the judgment matrix, and grading the hole spacing judgment factors, the hole depth judgment factors and the hole drilling pollution judgment factors one by one to obtain grading results of the judgment factors;
and summarizing the scoring results of the judgment factors to calculate and obtain the weight ratio of the judgment factors.
6. The method of claim 5, wherein the method comprises:
performing multi-round grading on each judgment factor by using the drilling quality evaluation expert system to obtain multi-round grading result distribution of each judgment factor;
carrying out coefficient of variation analysis on the multi-round grading result distribution of each judgment factor so as to determine the grading fluctuation value of each judgment factor;
and correcting the weight ratio of each judgment factor by using the score fluctuation value of each judgment factor.
7. The method of claim 6, wherein the controlling of the perforation of the target flexible wiring board comprises:
judging whether the actual punching quality value meets a preset standard punching quality value or not;
if the actual punching quality value does not meet the preset standard punching quality value, performing reverse weight analysis on the actual punching quality value to determine a difference weight ratio;
and utilizing the drilling defect element corresponding to the difference weight ratio to perform drilling control on the target flexible circuit board.
8. An automatic punching control system for a flexible circuit board, characterized in that the system comprises:
the data acquisition unit is used for acquiring the historical rotating speed of the punching drill bit of the target flexible circuit board by using the rotating speed acquisition device so as to acquire the historical rotating speed data of the drilling machine;
the image acquisition unit is used for acquiring historical images in the punching process of the target flexible circuit board by using an image acquisition device so as to obtain historical punched distribution images;
the characteristic analysis unit is used for carrying out multi-characteristic analysis on the historical punched distribution image so as to determine hole spacing characteristics, hole depth offset characteristics and hole drilling pollution characteristics;
the primary weight distribution unit is used for performing primary weight distribution on the historical drilling machine rotating speed data and the historical punched distribution image by using weight distribution logic so as to determine a rotating speed weight ratio and a punching weight ratio;
a secondary weight distribution unit, configured to perform secondary weight distribution on the punching weight proportion by using the weight distribution logic, so as to determine a hole distance weight proportion corresponding to the hole distance feature, a hole depth weight proportion corresponding to the hole depth bias feature, and a hole drilling fouling weight proportion corresponding to the hole drilling fouling feature;
the weight calculation unit is used for performing weight calculation on actual punching data of the target flexible circuit board according to the rotating speed weight proportion, the hole distance weight proportion, the hole depth weight proportion and the hole drilling pollution weight proportion, and determining an actual punching quality value;
and the intelligent control unit is used for carrying out punching control on the target flexible circuit board based on the actual punching quality value.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105372581A (en) * | 2015-11-18 | 2016-03-02 | 华南理工大学 | Flexible circuit board manufacturing process automatic monitoring and intelligent analysis system and method |
| CN112302618A (en) * | 2020-10-21 | 2021-02-02 | 合肥南方汽车零部件有限公司 | Auxiliary drilling control system |
| CN114102717A (en) * | 2020-08-27 | 2022-03-01 | 苏州维嘉科技股份有限公司 | Printed circuit board drilling processing control device and method and drilling equipment |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105372581A (en) * | 2015-11-18 | 2016-03-02 | 华南理工大学 | Flexible circuit board manufacturing process automatic monitoring and intelligent analysis system and method |
| CN114102717A (en) * | 2020-08-27 | 2022-03-01 | 苏州维嘉科技股份有限公司 | Printed circuit board drilling processing control device and method and drilling equipment |
| CN112302618A (en) * | 2020-10-21 | 2021-02-02 | 合肥南方汽车零部件有限公司 | Auxiliary drilling control system |
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