CN115753812B - Printing quality detection method and related equipment in paper packaging industry - Google Patents
Printing quality detection method and related equipment in paper packaging industry Download PDFInfo
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Abstract
The invention discloses a printing quality detection method and related equipment in the paper packaging industry, wherein the method comprises the following steps: the vision software system obtains a standard sample through vision detection software; the visual software system calculates the boundary distance value between the printing content of the standard sample and the boundary in a visual edge grabbing mode, and stores the visual software system; when the carton products to be produced are printed on a printer, the vision software system detects actual boundary distance values of the carton products and compares the actual boundary distance values with the printed content of the standard sample and the boundary distance values of the boundary respectively; if at least one difference exists in the boundary distance value comparison, the vision software system judges that the current carton product is not qualified. According to the invention, the automatic detection of the paper packaging industry is realized through visual detection, the timeliness of finding the quality problem is solved, and the printing process formula parameters are quickly adjusted so as to avoid mass reproduction of the same quality problem.
Description
Technical Field
The invention relates to the technical field of paper packaging printing detection, in particular to a printing quality detection method, a printing quality detection system, an intelligent terminal and a computer readable storage medium in the paper packaging industry.
Background
Paper packaging refers to commodity packaging made of paper or paperboard. It comprises a paper box, a paper bag, a paper tube and the like. Four major posts of modern packaging materials-paper, plastic, metal, glass. Among them, paper products are the fastest growing, paper and plastics are the cheapest, raw materials are widely available, and are not as fragile as glass, and are not as heavy as metal, so that the paper products are portable. Therefore, paper and plastic packaging are extremely widely used in daily life. The international health organization and environmental protection specialists consider that white pollution is possibly caused after plastic is abandoned, the environment is not protected, the plastic food bags are forbidden gradually, and the environment-friendly paper bags are required to be used for packaging. Therefore, the consumer will apply a nontoxic and harmless 'all paper environment-friendly bag' for shopping in future.
At present, the printing quality in the paper packaging industry has no automatic detection scheme, and is mainly detected by naked eyes. The machine length of the operation printer can carry out spot check when starting positive mass production after finishing machine adjustment, manually detect the printing quality (judging whether the printing position is correct, whether the printing color is correct, whether the slotting position is correct, etc.), and carry out real-time adjustment of printing process formula parameters (such as printing axial value, printing phase value, slotting cutter position data, etc.) according to the spot check result, and directly take out the product which does not meet the standard as defective processing (scrapping or reworking according to the situation) when finding the product in the detection process. Because the captain only carries out the spot check in the production process, can't guarantee the quality of all products, after the production is accomplished, the quality department is responsible for carrying out quality inspection (through visual inspection) to all products to the product that will fail carries out reworking or scrapping.
However, the inspection is performed only by naked eyes, and the accuracy of the inspection cannot be ensured due to the uncontrollable factors of people; meanwhile, staff needs to check all products after production is completed, and the quality problems cannot be timely adjusted when the quality problems are found at the first time, so that risks of mass quality problems cannot be avoided.
Accordingly, the prior art is still in need of improvement and development.
Disclosure of Invention
The invention mainly aims to provide a printing quality detection method, a detection system, an intelligent terminal and a computer readable storage medium in the paper packaging industry, and aims to solve the problems that the printing quality in the existing paper packaging industry is manually checked, so that the accuracy of the inspection is low, the quality problem cannot be timely found out at the first time, and the mass quality problem cannot be avoided.
In order to achieve the above purpose, the invention provides a printing quality detection method in paper packaging industry, which comprises the following steps:
the vision software system obtains a standard process diagram of the product or a sample of the carton product through vision detection software;
the visual software system calculates boundary distance values between the printed content in the standard process diagram of the product or the paper box product sample and the four boundaries in a visual edge grabbing mode, and stores the boundary distance values in the visual software system;
When the carton products to be produced are printed on a printer, the vision software system detects four actual boundary distance values of the carton products in real time and compares the four actual boundary distance values with the four boundary distance values of the four boundary and the printing content in the product standard process diagram or the carton product sample respectively;
if at least one of the four boundary distance value comparisons is different, the vision software system judges that the current carton product is unqualified, and sends a deviation correcting compensation value to the printing machine for deviation correcting compensation.
Optionally, in the method for detecting printing quality in paper packaging industry, when the paper box product to be produced is printed on a printer, the vision software system detects four actual boundary distance values of the paper box product in real time, and compares the four actual boundary distance values with the four boundary distance values of the four boundary with the printed content in the product standard process diagram or the paper box product sample, and then the method further includes:
if the comparison of the four boundary distance values is the same, the vision software system judges that the current carton product is qualified, sends a detection passing signal to the printer, and controls the printer to continue production after the detection passing signal of the vision feedback is received by the printer.
Optionally, in the method for detecting printing quality in paper packaging industry, boundary distance values between the printing content of the product standard process diagram or the paper box product sample and four boundaries are a first boundary distance value, a second boundary distance value, a third boundary distance value and a fourth boundary distance value respectively.
Optionally, the method for detecting printing quality in paper packaging industry specifically includes:
the first boundary distance value refers to the distance from the rightmost edge of the printed content to the rightmost edge line of the carton product;
the second boundary distance value refers to the distance from the rightmost side of the printed content to the leftmost line of the carton product;
the third boundary distance value refers to the distance from the lowest edge of the printed content to the uppermost edge line of the carton product;
the fourth boundary distance value refers to the distance from the lowest edge of the printing content to the lowest edge line of the carton product;
or the first boundary distance value refers to the distance from the rightmost edge of the printed content to the rightmost line of the carton product;
the second boundary distance value refers to the distance from the rightmost side of the printed content to the leftmost line of the carton product;
the third boundary distance value refers to the distance from the uppermost edge of the printed content to the uppermost edge line of the carton product;
the fourth boundary distance value refers to the distance from the uppermost edge of the printing content to the bottommost edge line of the carton product;
or the first boundary distance value refers to the distance from the leftmost side of the printed content to the rightmost line of the carton product;
the second boundary distance value refers to the distance from the leftmost edge of the printed content to the leftmost line of the carton product;
The third boundary distance value refers to the distance from the uppermost edge of the printed content to the uppermost edge line of the carton product;
the fourth boundary distance value refers to the distance from the uppermost edge of the printing content to the bottommost edge line of the carton product;
or the first boundary distance value refers to the distance from the leftmost side of the printed content to the rightmost line of the carton product;
the second boundary distance value refers to the distance from the leftmost edge of the printed content to the leftmost line of the carton product;
the third boundary distance value refers to the distance from the lowest edge of the printed content to the uppermost edge line of the carton product;
the fourth boundary distance value refers to the distance from the lowest edge of the printed content to the lowest edge line of the carton product.
Optionally, the method for detecting printing quality in paper packaging industry, wherein the visual software system detects four actual boundary distance values of the paper box product in real time during printing, and compares the four actual boundary distance values with the four boundary distance values of the printed content of the product standard process diagram or the paper box product sample, specifically includes:
detecting a first actual boundary distance value, a second actual boundary distance value, a third actual boundary distance value and a fourth actual boundary distance value of the carton product in real time;
and comparing the first actual boundary distance value, the second actual boundary distance value, the third actual boundary distance value and the fourth actual boundary distance value with the first boundary distance value, the second boundary distance value, the third boundary distance value and the fourth boundary distance value of the sample respectively.
Optionally, in the method for detecting printing quality in paper packaging industry, if the four boundary distance values are all the same, the vision software system determines that the current carton product is qualified, and then the method further includes:
the vision software system sends a detection passing signal to the printer;
and after the detection passing signal sent by the vision software system is received by the printer, the printer is controlled to continue production.
Optionally, the method for detecting printing quality in paper packaging industry, wherein if at least one of the four boundary distance values is different, the vision software system judges that the current carton product is not qualified, and sends a deviation correction compensation value to a printer for deviation correction compensation, specifically includes:
if at least one of the four boundary distance value comparisons is different, the vision software system feeds back a detection failure signal to the printer and sends a deviation correction compensation value to the printer;
after the visual software system feeds back the unqualified detection signal and is received by the printer, controlling the printer to take the current product as NG (NG) product discharge equipment;
and after the vision software system sends the deviation correction compensation value and is received by the printer, the printer is controlled to automatically adjust the printing phase and the axial value.
In addition, in order to achieve the above object, the present invention also provides a printing quality detection system for paper packaging industry, wherein the printing quality detection system for paper packaging industry comprises:
The sample acquisition module is used for acquiring a product standard process diagram or a carton product sample through visual detection software by the visual software system;
the distance measuring and calculating module is used for measuring and calculating boundary distance values between the printed content of the standard process diagram of the product or the paper box product sample and four boundaries by the visual software system in a visual edge grabbing mode, and storing the boundary distance values in the visual software system;
the paper box printing module is used for detecting four actual boundary distance values of the paper box product in real time when the paper box product to be produced is printed on the printer, and comparing the four actual boundary distance values with the product standard process diagram or the printed content of the paper box product sample and the four boundary distance values of the four boundaries respectively;
and the judging and processing module is used for judging that the current carton product is unqualified by the vision software system if at least one difference exists among the four boundary distance value comparisons.
In addition, to achieve the above object, the present invention further provides an intelligent terminal, where the terminal includes: the printing quality detection device comprises a memory, a processor and a printing quality detection program of the paper packaging industry, wherein the printing quality detection program of the paper packaging industry is stored in the memory and can run on the processor, and the printing quality detection program of the paper packaging industry realizes the steps of the printing quality detection method of the paper packaging industry when being executed by the processor.
In addition, in order to achieve the above object, the present invention also provides a computer-readable storage medium storing a paper packaging industry print quality detection program which, when executed by a processor, implements the steps of the paper packaging industry print quality detection method described above.
The invention uses visual detection technology to replace the existing visual detection scheme, realizes the quality detection of products, detects four actual boundary distance values of the carton products in real time in the production process, compares the four actual boundary distance values with the product standard process diagram or the printed content in the carton product sample and the four boundary distance values of the four boundaries respectively, detects in real time and feeds back the detection result to the printer, finds defective products in time and informs the printer to discharge the defective products. Aiming at the situation that the bad reason is printing deviation, the correction compensation value is fed back to the printer in real time, so that the related process parameters are automatically adjusted in the production process, the automatic detection of the paper packaging industry is realized through a visual detection scheme, the timeliness of finding the quality problem is solved, the printing process formula parameters are rapidly adjusted, and the same quality problem is prevented from being repeated in a large batch.
Drawings
FIG. 1 is a flow chart of a preferred embodiment of the print quality detection method of the paper packaging industry of the present invention;
FIG. 2 is a flowchart of step S20 in a preferred embodiment of the print quality inspection method of the paper packaging industry of the present invention;
FIG. 3 is a schematic diagram of measuring and calculating boundary distance values between printed content and four boundaries in a standard process diagram or a sample of a carton product in a preferred embodiment of a print quality detection method in the paper packaging industry of the present invention;
FIG. 4 is a flowchart of step S40 in a preferred embodiment of the print quality inspection method of the paper packaging industry of the present invention;
FIG. 5 is a schematic diagram of the printing quality inspection process of the paper packaging industry in a preferred embodiment of the printing quality inspection method of the paper packaging industry of the present invention;
FIG. 6 is a schematic diagram of a preferred embodiment of the vision software system of the present invention;
FIG. 7 is a schematic diagram of an operating environment of a smart terminal according to a preferred embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clear and clear, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The printing quality detection method in the paper packaging industry according to the preferred embodiment of the present invention, as shown in fig. 1, comprises the following steps:
and S10, the vision software system acquires a standard process diagram of the product or a sample of the carton product through vision detection software.
The visual detection software is located in a visual software system and is used for acquiring a standard process diagram of a product or a sample of a carton product.
Specifically, the product standard process diagram or the carton product sample is uploaded to the visual detection software in a mode of visual photographing or picture importing. And uploading the standard process diagram or the paper box product sample to compare the standard process diagram or the paper box product sample with a process diagram or a paper box product printed later to judge whether the printing is qualified or not.
And S20, the visual software system calculates boundary distance values between the printed content in the standard process diagram of the product or the paper box product sample and four boundaries in a visual edge grabbing mode, and stores the boundary distance values in the visual software system.
Referring to fig. 2, a flowchart of step S20 in the printing quality detection method in the paper packaging industry according to the present invention is shown.
As shown in fig. 2, the step S20 includes:
and S21, measuring and calculating boundary distance values between the printed content in the product standard process diagram or the carton product sample and the four boundaries.
Specifically, measuring and calculating boundary distance values between printed contents and four boundaries in a product standard process diagram or a carton product sample is completed by performing visual edge grabbing through a camera; the function of the measured print content of the sample and the boundary distance value is to determine the print position of the sample. After the printing is started, the printing position of each product is compared with the printing position of the sample, the products with consistent positions are defined as good products, and the products with inconsistent positions are defined as bad products.
Further, boundary distance values of the printed content and four boundaries of the product standard process diagram or the carton product sample are respectively defined as a first boundary distance value, a second boundary distance value, a third boundary distance value and a fourth boundary distance value.
It should be noted that, when the visual edge grabbing is performed, the smoothness of the printed content may affect the success rate of the edge grabbing, and when the edge grabbing is performed on the printed content with a smoother side, the success rate may be higher, so the first boundary distance value, the second boundary distance value, the third boundary distance value and the fourth boundary distance value are not fixed, and the printed pattern is exemplified by the printed pattern, as shown in fig. 3, the boundary distance values between the printed content and four boundaries in the standard process diagram of the product or the sample of the carton product are calculated, if the printed pattern is the "a-shaped box", at this time, the right side of the "a-shaped box" is smoother because the right side of the "box" is smoother, and at the same time, the right lower corner of the "a-shaped box" is selected as the measuring point of the distance between the printed pattern and the four boundaries of the carton product, and the success rate of the edge grabbing is higher. Therefore, when the pattern to be printed by the printer is an "a-box", the first boundary distance value, the second boundary distance value, the third boundary distance value, and the fourth boundary distance value are respectively:
The first boundary distance value refers to the distance from the rightmost edge of the printed content to the rightmost line of the carton product (a in fig. 3); the second boundary distance value refers to the distance from the rightmost edge of the printed content to the leftmost line of the carton product (b in fig. 3); the third boundary distance value refers to the distance from the lowest edge of the printed content to the uppermost edge line of the carton product (c in fig. 3); the fourth boundary distance value refers to the distance from the lowest edge of the printed content to the lowest edge line of the carton product (d in fig. 3).
Further, according to the difference of the printed patterns, the first boundary distance value, the second boundary distance value, the third boundary distance value and the fourth boundary distance value in the present invention may be:
the first boundary distance value refers to the distance from the rightmost edge of the printed content to the rightmost edge line of the carton product; the second boundary distance value refers to the distance from the rightmost side of the printed content to the leftmost line of the carton product; the third boundary distance value refers to the distance from the uppermost edge of the printed content to the uppermost edge line of the carton product; the fourth boundary distance value refers to the distance from the uppermost edge of the printed content to the lowermost edge line of the carton product.
Or the first boundary distance value refers to the distance from the leftmost side of the printed content to the rightmost line of the carton product; the second boundary distance value refers to the distance from the leftmost edge of the printed content to the leftmost line of the carton product; the third boundary distance value refers to the distance from the uppermost edge of the printed content to the uppermost edge line of the carton product; the fourth boundary distance value refers to the distance from the uppermost edge of the printed content to the lowermost edge line of the carton product.
Or the first boundary distance value refers to the distance from the leftmost side of the printed content to the rightmost line of the carton product; the second boundary distance value refers to the distance from the leftmost edge of the printed content to the leftmost line of the carton product; the third boundary distance value refers to the distance from the lowest edge of the printed content to the uppermost edge line of the carton product; the fourth boundary distance value refers to the distance from the lowest edge of the printed content to the lowest edge line of the carton product.
The above three other first boundary distance values, second boundary distance values, third boundary distance values and fourth boundary distance values represent the case that the upper right, upper left and lower left of the printed pattern are more flat, and are not described herein.
And S22, saving the four measured boundary distance values in a vision software system.
Specifically, the measured first boundary distance value, the second boundary distance value, the third boundary distance value and the fourth boundary distance value are all stored in the vision software system, and as judging whether the position of the printed content of the product is correct or not, the judgment can be carried out only according to whether the distance from a certain point in the printed content to four boundaries of the carton product is equal to the boundary distance value between the printed content in the standard process diagram or the carton product sample and the four boundaries or not, the judgment can be carried out, so that the judgment is stored in the vision software system and is used for comparing the distance value from the printed position of the actual product to the four boundaries.
And step S30, when the carton products to be produced are printed on a printer, the vision software system detects four actual boundary distance values of the carton products in real time and compares the four actual boundary distance values with the four boundary distance values of the four boundary with the printed content in the product standard process diagram or the carton product sample respectively.
Specifically, after the vision software system determines the position parameters of the sample printing content through the grabbing edge, the printer can start to produce, and when the carton product to be produced is printed on the printer, the vision software system detects the first actual boundary distance value, the second actual boundary distance value, the third actual boundary distance value and the fourth actual boundary distance value of the carton product in real time; the measuring process of the first actual boundary distance value, the second actual boundary distance value, the third actual boundary distance value and the fourth actual boundary distance value is the same as the measuring standard boundary distance value in the step S21.
Further, the first actual boundary distance value, the second actual boundary distance value, the third actual boundary distance value and the fourth actual boundary distance value are respectively compared with the first boundary distance value, the second boundary distance value, the third boundary distance value and the fourth boundary distance value of the sample, and a comparison result is obtained.
And S40, if at least one difference exists among the four boundary distance value comparisons, the vision software system judges that the current carton product is unqualified and sends a deviation correcting compensation value to the printer for deviation correcting compensation.
Referring to fig. 4, a flowchart of step S40 in the printing quality detection method in the paper packaging industry according to the present invention is shown.
In step S41, the four actual boundary distance values are compared with four standard distance values.
And S42, judging whether the four actual boundary distance values are completely consistent with the four standard distance values.
Specifically, the first actual boundary distance value, the second actual boundary distance value, the third actual boundary distance value, and the fourth actual boundary distance value are respectively compared with the first boundary distance value, the second boundary distance value, the third boundary distance value, and the fourth boundary distance value of the sample, and if it is determined that the four actual boundary distance values are all the same as the four standard distance values, step S43 is executed; if it is determined that the four actual boundary distance values are different from any one of the four standard distance values, step S45 is performed.
And step S43, judging that the current carton product is qualified, and sending a detection passing signal to the printer.
And S44, after the detection passing signal of the visual feedback is received by the printer, controlling the printer to continue production.
If the four actual boundary distance values are all the same as the four standard distance values, the current carton products are qualified, and the current printer is indicated to normally operate without adjusting the printing process formula parameters.
And S45, judging that the current carton product is unqualified, feeding back a signal for detecting the unqualified product to the printer, and sending a deviation correction compensation value to the printer.
And step S46, after the unqualified signal is received by the printer, controlling the printer to take the current product as NG (NG) discharging equipment.
And step S47, after the deviation correction compensation value is received by the printer, controlling the printer to automatically adjust the printing phase and the axial value.
Specifically, if it is determined that the four actual boundary distance values are different from any one of the four standard distance values, it is determined that the current carton product is unqualified, at this time, the vision software system may send an unqualified signal and a deviation correction compensation value to the printer, further, after the unqualified signal is received by the printer, the currently produced printed product may be discharged out of the printing device as an NG product (defective product or product which cannot be sold for a long time in storage), and scrapped or reworked according to the situation, and meanwhile, after the deviation correction compensation value is received by the printer, the printer may be controlled to automatically adjust the printing phase and the axial value. The deviation correcting compensation value is obtained by calculating a difference value between the position of the standard sample and the position of the current actual product, such as the printing position of the standard sample (X: 50, Y: 150), the printing position of the current actual product (X: 45, Y: 153), and the deviation correcting compensation value (X: 5, Y: -3). And then the vision system sends deviation correction compensation values (X: 5, Y: 3) to the printer, and the printer adjusts the position of the printing motor accordingly, so that the deviation correction effect is realized.
Furthermore, the printing quality detection method in the paper packaging industry is not limited to the detection and judgment of whether the printing position is correct, and can also detect whether the printing color is correct, the slotting position is correct and the like.
The slotting position is similar to the printing position, whether the slotting position is in the correct position is judged by grabbing the edges, if the slotting position is compared correctly, the current carton products are qualified, and the current printer is indicated to normally operate without adjusting the printing process formula parameters; if the comparison of the slotting position is incorrect, a failure detection signal is fed back to the printing machine, and a deviation correction compensation value is sent to the printing machine.
The method is characterized in that whether the printing color is correct or not is judged by processing through visual software, an RGB (color mode) image is converted into an HSV image, the color of a printing product is digitized and compared with the color value of a sample, the RGB color mode is a color standard in the industry, various colors are obtained by changing three color channels of red (R), green (G) and blue (B) and overlapping the three color channels, RGB is the color representing the three channels of red, green and blue, the standard almost comprises all colors perceived by human vision, and the color system is one of the most widely used color systems. HSV (Value) is a color space created from visual properties of colors, also known as the hexagonal Model. The parameters of the color in this model are hue (H), saturation (S) and brightness (V), respectively.
Principle of RGB conversion to HSV: for any coordinate point in the image, the RGB color space is (R, G, B), the HSV color space is (H, S, V), and R, G, B value is firstly required to be converted into 0-1; then calculate H, S, V values; if the calculated H value is less than 0, adding 360 to the value to obtain the final H value: since Opencv needs to make visualization of HSV images, it is also finally necessary to convert each value to between 0 and 255.
The RGB (color mode) image is converted into the HSV image by the above principle, so that after the printed product is digitized, the step of further checking and correcting the printed color is the same as the step of checking and correcting the printed position, and the details are not repeated here.
Further, as shown in fig. 5, the whole process of printing quality detection in the paper packaging industry in the invention is as follows:
step S101, a visual software system obtains a standard process diagram of a product or a sample of a carton product through visual detection software;
step S102, measuring and calculating boundary distance values between printing contents and four boundaries in a product standard process diagram or a carton product sample;
step S103, storing the four measured boundary distance values in a vision software system;
Step S104, when the carton products to be produced are printed on a printer, the vision software system detects four actual boundary distance values of the carton products in real time and compares the four actual boundary distance values with the four boundary distance values of the four boundary and the printed content in the product standard process diagram or the carton product sample respectively;
step S105, judging whether the four actual boundary distance values are completely consistent with the four standard distance values, if so, executing step S106, and if not, executing step S108;
step S106, the current carton products are qualified, and a detection passing signal is sent to a printer;
step S107, controlling the printing machine to continue production;
step S108, feeding back a failure detection signal to the printer when the current carton product is failed, and sending a deviation correction compensation value to the printer;
step S109, after the unqualified signal is received by the printer, controlling the printer to take the current product as NG (NG) product discharge equipment;
and S110, after the deviation correction compensation value is received by the printer, controlling the printer to automatically adjust the printing phase and the axial value.
Further, as shown in fig. 6, based on the above method for detecting printing quality in paper packaging industry, the present invention further provides a system for detecting printing quality in paper packaging industry, where the system for detecting printing quality in paper packaging industry includes:
The sample acquisition module 51 is used for the vision software system to acquire a standard process diagram of a product or a sample of a carton product through vision detection software;
the distance measuring and calculating module 52 is used for measuring and calculating boundary distance values between the printed content of the standard process diagram of the product or the paper box product sample and four boundaries by the visual software system in a visual edge grabbing mode, and storing the boundary distance values in the visual software system;
the carton printing module 53 is configured to detect four actual boundary distance values of the carton product in real time by using the vision software system when the carton product to be produced is printed on the printer, and compare the four actual boundary distance values with the product standard artwork or the printed content of the carton product sample and the four boundary distance values of the four boundaries respectively;
and the judging and processing module 54 is configured to judge that the current carton product is not qualified by the vision software system if at least one of the four boundary distance value comparisons is different.
Further, as shown in fig. 7, based on the printing quality detection method and system in the paper packaging industry, the invention further provides an intelligent terminal, which comprises a processor 10, a memory 20 and a display 30. Fig. 7 shows only some of the components of the terminal, but it should be understood that not all of the illustrated components are required to be implemented and that more or fewer components may alternatively be implemented.
The memory 20 may in some embodiments be an internal storage unit of the terminal, such as a hard disk or a memory of the terminal. The memory 20 may in other embodiments also be an external storage device of the terminal, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the terminal. Further, the memory 20 may also include both an internal storage unit and an external storage device of the terminal. The memory 20 is used for storing application software installed in the terminal and various data, such as program codes of the installation terminal. The memory 20 may also be used to temporarily store data that has been output or is to be output. In one embodiment, the memory 20 stores a paper packaging industry print quality detection program 40, and the paper packaging industry print quality detection program 40 is executable by the processor 10 to implement the paper packaging industry print quality detection method of the present application.
The processor 10 may in some embodiments be a central processing unit (Central Processing Unit, CPU), microprocessor or other data processing chip for executing program code or processing data stored in the memory 20, for example, for performing the visual form configuration method of the corrugated packaging industry, etc.
The display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like in some embodiments. The display 30 is used for displaying information at the terminal and for displaying a visual user interface. The components 10-30 of the terminal communicate with each other via a system bus.
In one embodiment, the processor 10 when executing the paper packaging industry print quality detection program 40 in the memory 20 performs the following steps:
the vision software system obtains a standard process diagram of the product or a sample of the carton product through vision detection software;
the visual software system calculates boundary distance values between the printed content in the standard process diagram of the product or the paper box product sample and the four boundaries in a visual edge grabbing mode, and stores the boundary distance values in the visual software system;
when the carton products to be produced are printed on a printer, the vision software system detects four actual boundary distance values of the carton products in real time and compares the four actual boundary distance values with the four boundary distance values of the four boundary and the printing content in the product standard process diagram or the carton product sample respectively;
if at least one of the four boundary distance value comparisons is different, the vision software system judges that the current carton product is unqualified, and sends a deviation correcting compensation value to the printing machine for deviation correcting compensation.
When the carton products to be produced are printed on a printer, the vision software system detects four actual boundary distance values of the carton products in real time and compares the four actual boundary distance values with four boundary distance values of the four boundary of the printed content in the product standard process diagram or the carton product sample respectively, and then the method further comprises the following steps:
if the comparison of the four boundary distance values is the same, the vision software system judges that the current carton product is qualified, sends a detection passing signal to the printer, and controls the printer to continue production after the detection passing signal of the vision feedback is received by the printer.
The boundary distance values of the printed content of the product standard process diagram or the carton product sample and the four boundaries are a first boundary distance value, a second boundary distance value, a third boundary distance value and a fourth boundary distance value respectively.
Wherein, the first boundary distance value, the second boundary distance value, the third boundary distance value and the fourth boundary distance value specifically include:
the first boundary distance value refers to the distance from the rightmost edge of the printed content to the rightmost edge line of the carton product;
the second boundary distance value refers to the distance from the rightmost side of the printed content to the leftmost line of the carton product;
The third boundary distance value refers to the distance from the lowest edge of the printed content to the uppermost edge line of the carton product;
the fourth boundary distance value refers to the distance from the lowest edge of the printing content to the lowest edge line of the carton product;
or the first boundary distance value refers to the distance from the rightmost edge of the printed content to the rightmost line of the carton product;
the second boundary distance value refers to the distance from the rightmost side of the printed content to the leftmost line of the carton product;
the third boundary distance value refers to the distance from the uppermost edge of the printed content to the uppermost edge line of the carton product;
the fourth boundary distance value refers to the distance from the uppermost edge of the printing content to the bottommost edge line of the carton product;
or the first boundary distance value refers to the distance from the leftmost side of the printed content to the rightmost line of the carton product;
the second boundary distance value refers to the distance from the leftmost edge of the printed content to the leftmost line of the carton product;
the third boundary distance value refers to the distance from the uppermost edge of the printed content to the uppermost edge line of the carton product;
the fourth boundary distance value refers to the distance from the uppermost edge of the printing content to the bottommost edge line of the carton product;
or the first boundary distance value refers to the distance from the leftmost side of the printed content to the rightmost line of the carton product;
The second boundary distance value refers to the distance from the leftmost edge of the printed content to the leftmost line of the carton product;
the third boundary distance value refers to the distance from the lowest edge of the printed content to the uppermost edge line of the carton product;
the fourth boundary distance value refers to the distance from the lowest edge of the printed content to the lowest edge line of the carton product.
The visual software system detects four actual boundary distance values of the carton products in real time during printing and compares the four actual boundary distance values with the four boundary distance values of the printing content of the product standard process diagram or the carton product sample, and the four actual boundary distance values specifically comprise:
detecting a first actual boundary distance value, a second actual boundary distance value, a third actual boundary distance value and a fourth actual boundary distance value of the carton product in real time;
and comparing the first actual boundary distance value, the second actual boundary distance value, the third actual boundary distance value and the fourth actual boundary distance value with the first boundary distance value, the second boundary distance value, the third boundary distance value and the fourth boundary distance value of the sample respectively.
If the comparison of the four boundary distance values is the same, the vision software system judges that the current carton product is qualified, and then the method further comprises the following steps:
The vision software system sends a detection passing signal to the printer;
and after the detection passing signal sent by the vision software system is received by the printer, the printer is controlled to continue production.
If at least one of the four boundary distance values is different, the vision software system judges that the current carton product is unqualified, and sends a deviation correcting compensation value to the printer for deviation correcting compensation, and the method specifically comprises the following steps:
if at least one of the four boundary distance value comparisons is different, the vision software system feeds back a detection failure signal to the printer and sends a deviation correction compensation value to the printer;
after the visual software system feeds back the unqualified detection signal and is received by the printer, controlling the printer to take the current product as NG (NG) product discharge equipment;
and after the vision software system sends the deviation correction compensation value and is received by the printer, the printer is controlled to automatically adjust the printing phase and the axial value.
The present invention also provides a computer readable storage medium storing a paper packaging industry print quality detection program which when executed by a processor implements the steps of the paper packaging industry print quality detection method described above.
In summary, the present invention provides a method, a system, an intelligent terminal and a computer readable storage medium for detecting printing quality in paper packaging industry, wherein the method comprises: the vision software system obtains a standard process diagram of the product or a sample of the carton product through vision detection software; the visual software system calculates boundary distance values between the printed content in the standard process diagram of the product or the paper box product sample and the four boundaries in a visual edge grabbing mode, and stores the boundary distance values in the visual software system; when the carton products to be produced are printed on a printer, the vision software system detects four actual boundary distance values of the carton products in real time and compares the four actual boundary distance values with the four boundary distance values of the four boundary and the printing content in the product standard process diagram or the carton product sample respectively; if at least one of the four boundary distance value comparisons is different, the vision software system judges that the current carton product is unqualified, and sends a deviation correcting compensation value to the printing machine for deviation correcting compensation. According to the invention, the automatic detection of the paper packaging industry is realized through a visual detection scheme, the timeliness of finding the quality problem is solved, and the printing process formula parameters are quickly adjusted so as to avoid mass reproduction of the same quality problem.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Of course, those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by a computer program for instructing relevant hardware (e.g., processor, controller, etc.), the program may be stored on a computer readable storage medium, and the program may include the above described methods when executed. The computer readable storage medium may be a memory, a magnetic disk, an optical disk, etc.
It is to be understood that the invention is not limited in its application to the examples described above, but is capable of modification and variation in light of the above teachings by those skilled in the art, and that all such modifications and variations are intended to be included within the scope of the appended claims.
Claims (7)
1. The printing quality detection method for the paper packaging industry is characterized by comprising the following steps of:
the vision software system obtains a standard process diagram of the product or a sample of the carton product through vision detection software;
the visual software system calculates boundary distance values between the printed content in the standard process diagram of the product or the paper box product sample and the four boundaries in a visual edge grabbing mode, and stores the boundary distance values in the visual software system;
when the carton products to be produced are printed on a printer, the vision software system detects four actual boundary distance values of the carton products in real time and compares the four actual boundary distance values with the four boundary distance values of the four boundary and the printing content in the product standard process diagram or the carton product sample respectively;
if at least one of the four boundary distance value comparisons is different, the vision software system judges that the current carton product is unqualified, and sends a deviation correcting compensation value to the printer for deviation correcting compensation;
the boundary distance values of the printed content of the product standard process diagram or the carton product sample and the four boundaries are a first boundary distance value, a second boundary distance value, a third boundary distance value and a fourth boundary distance value respectively;
The first boundary distance value, the second boundary distance value, the third boundary distance value and the fourth boundary distance value specifically include:
the first boundary distance value refers to the distance from the rightmost edge of the printed content to the rightmost edge line of the carton product;
the second boundary distance value refers to the distance from the rightmost side of the printed content to the leftmost line of the carton product;
the third boundary distance value refers to the distance from the lowest edge of the printed content to the uppermost edge line of the carton product;
the fourth boundary distance value refers to the distance from the lowest edge of the printing content to the lowest edge line of the carton product;
or the first boundary distance value refers to the distance from the rightmost edge of the printed content to the rightmost line of the carton product;
the second boundary distance value refers to the distance from the rightmost side of the printed content to the leftmost line of the carton product;
the third boundary distance value refers to the distance from the uppermost edge of the printed content to the uppermost edge line of the carton product;
the fourth boundary distance value refers to the distance from the uppermost edge of the printing content to the bottommost edge line of the carton product;
or the first boundary distance value refers to the distance from the leftmost side of the printed content to the rightmost line of the carton product;
the second boundary distance value refers to the distance from the leftmost edge of the printed content to the leftmost line of the carton product;
The third boundary distance value refers to the distance from the uppermost edge of the printed content to the uppermost edge line of the carton product;
the fourth boundary distance value refers to the distance from the uppermost edge of the printing content to the bottommost edge line of the carton product;
or the first boundary distance value refers to the distance from the leftmost side of the printed content to the rightmost line of the carton product;
the second boundary distance value refers to the distance from the leftmost edge of the printed content to the leftmost line of the carton product;
the third boundary distance value refers to the distance from the lowest edge of the printed content to the uppermost edge line of the carton product;
the fourth boundary distance value refers to the distance from the lowest edge of the printed content to the lowest edge line of the carton product.
2. The method for detecting printing quality in paper packaging industry according to claim 1, wherein when the paper box product to be produced is printed on a printer, the vision software system detects four actual boundary distance values of the paper box product in real time, and compares the four actual boundary distance values with four boundary distance values of the four boundary of the printed content in the standard process diagram or the paper box product sample, and then further comprises:
if the comparison of the four boundary distance values is the same, the vision software system judges that the current carton product is qualified, sends a detection passing signal to the printer, and controls the printer to continue production after the detection passing signal of the vision feedback is received by the printer.
3. The method for detecting printing quality in paper packaging industry according to claim 1, wherein the visual software system detects four actual boundary distance values of the paper box product in real time during printing, and compares the four actual boundary distance values with the four boundary distance values of the printed content of the product standard process diagram or the paper box product sample respectively, specifically comprises:
detecting a first actual boundary distance value, a second actual boundary distance value, a third actual boundary distance value and a fourth actual boundary distance value of the carton product in real time;
and comparing the first actual boundary distance value, the second actual boundary distance value, the third actual boundary distance value and the fourth actual boundary distance value with the first boundary distance value, the second boundary distance value, the third boundary distance value and the fourth boundary distance value respectively.
4. The method for detecting printing quality in paper packaging industry according to claim 1, wherein if at least one of the four boundary distance value comparisons is different, the vision software system judges that the current carton product is not qualified, and sends a deviation correcting compensation value to the printer for deviation correcting compensation, specifically comprising:
if at least one of the four boundary distance value comparisons is different, the vision software system feeds back a detection failure signal to the printer and sends a deviation correction compensation value to the printer;
After the visual software system feeds back the unqualified detection signal and is received by the printer, controlling the printer to take the current product as NG (NG) product discharge equipment;
after the vision software system sends the deviation correcting compensation value and is received by the printer, the printer is controlled to automatically adjust the printing phase and the axial value according to the deviation correcting compensation value.
5. The printing quality detection system for the paper packaging industry is characterized by comprising:
the sample acquisition module is used for acquiring a product standard process diagram or a carton product sample through visual detection software by the visual software system;
the distance measuring and calculating module is used for measuring and calculating boundary distance values between the printed content of the standard process diagram of the product or the paper box product sample and four boundaries by the visual software system in a visual edge grabbing mode, and storing the boundary distance values in the visual software system;
the paper box printing module is used for detecting four actual boundary distance values of the paper box product in real time when the paper box product to be produced is printed on the printer, and comparing the four actual boundary distance values with the product standard process diagram or the printed content of the paper box product sample and the four boundary distance values of the four boundaries respectively;
the judging and processing module is used for judging that the current carton product is unqualified by the vision software system if at least one difference exists among the four boundary distance value comparisons;
The boundary distance values of the printed content of the product standard process diagram or the carton product sample and the four boundaries are a first boundary distance value, a second boundary distance value, a third boundary distance value and a fourth boundary distance value respectively;
the first boundary distance value, the second boundary distance value, the third boundary distance value and the fourth boundary distance value specifically include:
the first boundary distance value refers to the distance from the rightmost edge of the printed content to the rightmost edge line of the carton product;
the second boundary distance value refers to the distance from the rightmost side of the printed content to the leftmost line of the carton product;
the third boundary distance value refers to the distance from the lowest edge of the printed content to the uppermost edge line of the carton product;
the fourth boundary distance value refers to the distance from the lowest edge of the printing content to the lowest edge line of the carton product;
or the first boundary distance value refers to the distance from the rightmost edge of the printed content to the rightmost line of the carton product;
the second boundary distance value refers to the distance from the rightmost side of the printed content to the leftmost line of the carton product;
the third boundary distance value refers to the distance from the uppermost edge of the printed content to the uppermost edge line of the carton product;
the fourth boundary distance value refers to the distance from the uppermost edge of the printing content to the bottommost edge line of the carton product;
Or the first boundary distance value refers to the distance from the leftmost side of the printed content to the rightmost line of the carton product;
the second boundary distance value refers to the distance from the leftmost edge of the printed content to the leftmost line of the carton product;
the third boundary distance value refers to the distance from the uppermost edge of the printed content to the uppermost edge line of the carton product;
the fourth boundary distance value refers to the distance from the uppermost edge of the printing content to the bottommost edge line of the carton product;
or the first boundary distance value refers to the distance from the leftmost side of the printed content to the rightmost line of the carton product;
the second boundary distance value refers to the distance from the leftmost edge of the printed content to the leftmost line of the carton product;
the third boundary distance value refers to the distance from the lowest edge of the printed content to the uppermost edge line of the carton product;
the fourth boundary distance value refers to the distance from the lowest edge of the printed content to the lowest edge line of the carton product.
6. An intelligent terminal, characterized in that, the intelligent terminal includes: a memory, a processor and a paper packaging industry print quality detection program stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the paper packaging industry print quality detection method of any one of claims 1-4.
7. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a paper packaging industry print quality detection program which, when executed by a processor, implements the steps of the paper packaging industry print quality detection method according to any one of claims 1 to 4.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100478448B1 (en) * | 2004-10-08 | 2005-03-23 | (주)미래컴퍼니 | Method for inspecting edge of liquid crystal display |
| CN103085471A (en) * | 2013-01-11 | 2013-05-08 | 天津科技大学 | Positioning method for continuous acquisition of presswork images |
| CN109201515A (en) * | 2018-07-02 | 2019-01-15 | 北京金诺时代科技发展有限公司 | Golden promise fully-automatic intelligent spray printing vision detection system |
| CN111929323A (en) * | 2020-06-02 | 2020-11-13 | 珠海诚锋电子科技有限公司 | Visual detection method and device for printing defects of corrugated paper packaging box |
| CN112964736A (en) * | 2021-02-04 | 2021-06-15 | 杭州富庆纸制品有限公司 | Printing quality control system and method for printing machine, intelligent terminal and storage medium |
| CN114091846A (en) * | 2021-11-02 | 2022-02-25 | 上海超级标贴***有限公司 | Intelligent printing quality management method, system, device and storage medium |
| CN114092375A (en) * | 2020-07-30 | 2022-02-25 | 四川卡库机器人科技有限公司 | Automatic detection system and method for printing defects of packaging bag cover |
| CN114771101A (en) * | 2022-04-22 | 2022-07-22 | 朗升柯式印刷(深圳)有限公司 | Method, device and equipment for detecting color of paperboard color printing and storage medium |
| CN115170551A (en) * | 2022-08-02 | 2022-10-11 | 温州职业技术学院 | Product detection and tracing method and system based on visual technology calibration |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060280358A1 (en) * | 2003-06-30 | 2006-12-14 | Akio Ishikawa | Pattern comparison inspection method and pattern comparison inspection device |
| CH699243A2 (en) * | 2008-07-25 | 2010-01-29 | Ferag Ag | Optical inspection method for detecting printed products in print finishing. |
-
2022
- 2022-11-01 CN CN202211355437.8A patent/CN115753812B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100478448B1 (en) * | 2004-10-08 | 2005-03-23 | (주)미래컴퍼니 | Method for inspecting edge of liquid crystal display |
| CN103085471A (en) * | 2013-01-11 | 2013-05-08 | 天津科技大学 | Positioning method for continuous acquisition of presswork images |
| CN109201515A (en) * | 2018-07-02 | 2019-01-15 | 北京金诺时代科技发展有限公司 | Golden promise fully-automatic intelligent spray printing vision detection system |
| CN111929323A (en) * | 2020-06-02 | 2020-11-13 | 珠海诚锋电子科技有限公司 | Visual detection method and device for printing defects of corrugated paper packaging box |
| CN114092375A (en) * | 2020-07-30 | 2022-02-25 | 四川卡库机器人科技有限公司 | Automatic detection system and method for printing defects of packaging bag cover |
| CN112964736A (en) * | 2021-02-04 | 2021-06-15 | 杭州富庆纸制品有限公司 | Printing quality control system and method for printing machine, intelligent terminal and storage medium |
| CN114091846A (en) * | 2021-11-02 | 2022-02-25 | 上海超级标贴***有限公司 | Intelligent printing quality management method, system, device and storage medium |
| CN114771101A (en) * | 2022-04-22 | 2022-07-22 | 朗升柯式印刷(深圳)有限公司 | Method, device and equipment for detecting color of paperboard color printing and storage medium |
| CN115170551A (en) * | 2022-08-02 | 2022-10-11 | 温州职业技术学院 | Product detection and tracing method and system based on visual technology calibration |
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