CN113277146A - Multi-station quality monitoring method for packaging machine - Google Patents
Multi-station quality monitoring method for packaging machine Download PDFInfo
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- CN113277146A CN113277146A CN202110745995.4A CN202110745995A CN113277146A CN 113277146 A CN113277146 A CN 113277146A CN 202110745995 A CN202110745995 A CN 202110745995A CN 113277146 A CN113277146 A CN 113277146A
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- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000004806 packaging method and process Methods 0.000 title claims abstract description 29
- 238000012544 monitoring process Methods 0.000 title claims abstract description 25
- 235000019504 cigarettes Nutrition 0.000 claims abstract description 120
- 238000012545 processing Methods 0.000 claims abstract description 62
- 230000007547 defect Effects 0.000 claims abstract description 33
- 239000000463 material Substances 0.000 claims abstract description 18
- 238000001514 detection method Methods 0.000 claims abstract description 17
- 239000011888 foil Substances 0.000 claims description 20
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 claims description 18
- 229910052782 aluminium Inorganic materials 0.000 claims description 18
- 238000007781 pre-processing Methods 0.000 claims description 9
- 239000005030 aluminium foil Substances 0.000 claims description 5
- 238000012217 deletion Methods 0.000 claims description 5
- 230000037430 deletion Effects 0.000 claims description 5
- 238000001125 extrusion Methods 0.000 claims description 3
- 238000012856 packing Methods 0.000 claims description 2
- 230000037303 wrinkles Effects 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 abstract description 7
- 238000009434 installation Methods 0.000 abstract description 4
- 238000012360 testing method Methods 0.000 abstract description 3
- 230000000007 visual effect Effects 0.000 abstract description 3
- 230000008569 process Effects 0.000 description 8
- 230000002950 deficient Effects 0.000 description 4
- 230000004913 activation Effects 0.000 description 3
- 238000007689 inspection Methods 0.000 description 3
- 241000519995 Stachys sylvatica Species 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 241000208125 Nicotiana Species 0.000 description 1
- 235000002637 Nicotiana tabacum Nutrition 0.000 description 1
- 239000002775 capsule Substances 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000003749 cleanliness Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000003708 edge detection Methods 0.000 description 1
- 230000014509 gene expression Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
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- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65B—MACHINES, APPARATUS OR DEVICES FOR, OR METHODS OF, PACKAGING ARTICLES OR MATERIALS; UNPACKING
- B65B19/00—Packaging rod-shaped or tubular articles susceptible to damage by abrasion or pressure, e.g. cigarettes, cigars, macaroni, spaghetti, drinking straws or welding electrodes
- B65B19/28—Control devices for cigarette or cigar packaging machines
- B65B19/30—Control devices for cigarette or cigar packaging machines responsive to presence of faulty articles, e.g. incorrectly filled cigarettes
Abstract
The application discloses a multistation quality monitoring method of a packaging machine, which comprises the following steps: receiving images of materials, wherein the materials comprise cigarette case molds, small cigarette cases and cigarette cases; processing the image, and judging whether the material has defects according to the processing result of the image; if so, removing the materials. This application adopts visual detection technique to carry out centralized processing to the different functions that detect of a plurality of independent stations, has promoted the convenience and the accuracy that detect, avoids the inefficiency and the problem with high costs that artifical measuring brought, avoids the overlapping investment that brings for single station installation check out test set simultaneously, the cost is reduced to production quality has been guaranteed.
Description
Technical Field
The application relates to the technical field of tobacco manufacturing, in particular to a multi-station quality monitoring method of a packaging machine.
Background
At present, the ZB45 packaging machine is a main production machine type of the existing cigarette equipment, and has higher production speed and effective operation rate. According to the technical quality standard requirement of the ZB45 packaging unit, a plurality of quality key control points need to be subjected to key detection, and the product quality is ensured mainly by the modes of operator self-inspection and technician inspection in the current detection means. The manual detection mode is hysteretic, and the detection needs a large amount of time and manpower, not only the inefficiency that detects, needs a large amount of manpowers moreover, and inspection process need peel off layer upon layer and pack and discover inside problem, has the waste of manpower, material cost.
Disclosure of Invention
The application provides a multistation quality monitoring method of packagine machine, adopts visual detection technique to carry out centralized processing to the different detection function of a plurality of independent stations, has promoted the convenience and the accuracy that detect, avoids the inefficiency and the problem with high costs that artifical detection brought, avoids the overlapping investment that brings for single station installation check out test set simultaneously, the cost is reduced to production quality has been guaranteed.
The application provides a multi-station quality monitoring method of a packaging machine, which comprises the following steps:
receiving images of materials, wherein the materials comprise cigarette case molds, small cigarette cases and cigarette cases;
processing the image, and judging whether the material has defects according to the processing result of the image;
if so, removing the materials.
Preferably, the processing of the image of the cigarette case model comprises:
determining a first area to be detected;
calculating an image gray value of the first region to be detected and the area of the first region to be detected;
if the image gray value of the first region to be detected is smaller than the first threshold value and/or the area of the first region to be detected is smaller than the second threshold value, the cigarette box mold is judged to have the defect of lacking a filter tip, inversely installing a cigarette or lacking the cigarette.
Preferably, the processing of the image of the cigarette case model comprises:
determining a second region to be detected;
binarizing the second region to be detected;
and calculating the black area of the second to-be-detected region after binarization.
Preferably, if the black area is smaller than the third threshold, the cigarette in the cigarette box mold is judged to have the defect of extrusion deformation.
Preferably, the processing of the image of the cigarette case model comprises:
determining a third area to be detected;
obtaining the outline of a third region to be detected;
and if the contour is smaller than the standard contour and the difference value between the contour and the standard contour is larger than a fourth threshold value, judging that the cigarette box mold has the defect of lacking the filter tip or lacking the cigarettes.
Preferably, the image of the packet of packets of cigarettes comprises an image of aluminium foil paper;
the processing of the aluminum foil paper image of the small cigarette packet comprises the following steps:
determining a fourth region to be detected;
carrying out binarization on the fourth region to be detected;
and respectively calculating the ratio of the black pixels and the white pixels in the fourth area to be detected after binarization to the total pixels in the fourth area to be detected.
Preferably, if the ratio is greater than the fifth threshold value, the aluminum foil paper of the small cigarette packet is judged to have the defects of folding, damage or at least partial loss.
Preferably, the processing of the aluminum foil paper image of the small cigarette packet further comprises calculating a pixel mean value of a fourth region to be detected;
and the number of the first and second electrodes,
and if the difference value between the pixel mean value and the standard mean value is larger than a sixth threshold value, judging that the aluminum foil paper of the small cigarette packet has the defects of folds, damage or at least partial deletion.
Preferably, the image of the packet of cigarettes comprises an image of the inner frame paper;
the processing of the image of the inner frame paper of the small cigarette packet comprises the following steps:
determining a fifth region to be detected;
calculating the similarity between the fifth region to be detected and the standard image;
and the number of the first and second electrodes,
and if the similarity is smaller than a seventh threshold value, judging that the inner frame paper has the defects of folds, damage or at least partial deletion.
Preferably, the processing of the image of the pack comprises:
preprocessing the image of the cigarette case;
carrying out linear detection on the preprocessed image;
if the preprocessed image has a straight line, calculating the length of the straight line;
and if the length is larger than the eighth threshold value, judging that the cigarette case has the defect of folds.
Further features of the present application and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which is to be read in connection with the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the application and together with the description, serve to explain the principles of the application.
Fig. 1 is a block diagram of one embodiment of a multi-station quality monitoring apparatus of a packaging machine provided herein;
fig. 2 is a block diagram of another embodiment of a multi-station quality monitoring apparatus of a packaging machine provided herein;
fig. 3 is a flow chart of a multi-station quality monitoring method of a packaging machine provided by the present application;
FIG. 4 is a flow chart of one embodiment of processing an image of a pack of cigarettes provided herein;
fig. 5 is a flow chart of another embodiment of processing an image of a pack of cigarettes provided herein.
The figures are labeled as follows:
1-image processor 11-first image processor 12-second image processor
2-IPC time sequence processing unit 21-IPC main unit 22-IPC slave unit
3-human-machine interface 4-light source controller 41-first light source controller
42-second light source controller 5-first station 51-first encoder
52-first rejecting device 53-first light source part 54-first camera
6-second station 61-second encoder 62-second rejecting device
63-second light source part 64-second camera 65-third camera
66-fourth camera 7-third station 71-proximity switch
72-third rejecting device 73-third light source 74-fifth camera
75-sixth camera 8-screen cutter 9-wiring terminal block
Detailed Description
Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present application unless specifically stated otherwise.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the application, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
The application provides a multi-station quality control device matched with a multi-station quality monitoring method of a packaging machine.
Fig. 1 is a multi-station quality monitoring apparatus of an embodiment. As shown in fig. 1, the multi-station quality monitoring apparatus includes a control portion, and the control portion includes an image processor 1, an inter-process communication (IPC) timing processing unit 2, a human-computer interface 3, a light source controller 4, a power supply module, and the like.
The packaging machine comprises a first station 5, a second station 6 and a third station 7. As an example, the first station is a cigarette box mold station installed at the front end of the packing machine, and cigarettes are arranged in the cigarette box mold in a form of 7-6-7. In a standard state, the filters of the cigarettes after being sorted are positioned on the same side. A first camera 54 and a first light source part 53 are installed on the filter tip side of a cigarette on the cigarette box mold station, and the first camera 54 is in signal connection with the image processor 1 and transmits images to the image processor 1. The first light source part 53 is in signal connection with the light source controller 4, and the light source controller 4 controls the start of the first light source part 53, specifically, the first light source part 53 includes two sets of light sources distributed around the first camera 54, and each light source and the first camera 54 have a certain included angle therebetween, so as to provide auxiliary illumination for the first camera 54. The first station 5 is also provided with a first encoder 51 and a first rejecting device 52. The first encoder 51 transmits the encoded signal to the IPC timing processing unit 2, and the IPC timing processing unit 2 sends an instruction to the first camera 54 and the light source controller 4 according to the encoded signal to trigger the activation of the first camera 54 and the first light source section 53. The image processor 1 processes the image after receiving the image of the first camera 54, judges whether the cigarettes on the first station 5 have defects according to the processing result, if yes, the image processor 1 sends an instruction to the IPC time sequence processing unit 2, and the IPC time sequence processing unit 2 controls the first removing device 52 to remove the cigarettes with defects.
The second station 6 is a small cigarette packet forming station, a third wheel and a fifth wheel are arranged on the second station, the third wheel is used for wrapping cigarettes in the aluminum foil paper, and the fifth wheel is used for wrapping inner frame paper on the outer side of the aluminum foil paper. The second station 6 is provided with a second encoder 61, a second rejection device 62, a second light source 63, a second camera 64, a third camera 65, and a fourth camera 66. The second light source section 63 includes a light source provided near the third wheel and a light source provided near the fifth wheel, and provides auxiliary lighting for the camera. A second camera 64 is mounted on wheel three and a third camera 65 and a fourth camera 66 are mounted on wheel five. The second encoder 61 transmits the encoded signal to the IPC timing processing unit 2, and the IPC timing processing unit 2 sends an instruction to the second camera 64, the third camera 65, the fourth camera 66, and the light source controller 4 according to the encoded signal to trigger the activation of the second camera 64, the third camera 65, the fourth camera 66, and the second light source section 63. The image processor 1 processes the images after receiving the images of the three cameras, judges whether the aluminum foil paper and the inner frame paper have defects according to the processing result, if the aluminum foil paper and the inner frame paper have defects, the image processor 1 sends an instruction to the IPC time sequence processing unit 2, and the IPC time sequence processing unit 2 controls the second removing device 62 to remove the aluminum foil paper or the inner frame paper with defects.
Specifically, the signal of the first encoder is used as the reference of the IPC time sequence control of the first station, the IPC time sequence processing unit receives and judges the signal of the first encoder in real time, and when the fact that the first encoder runs to a specified position is detected, the IPC time sequence processing unit triggers a detection signal to control the light source of the first light source part to carry out stroboflash on one hand and send a shooting instruction to the first camera on the other hand, so that the first camera is started to shoot. The principle of the second encoder is the same as the first encoder.
The third station 7 is a cigarette packet forming station. The third station 7 is provided with a proximity switch 71, a third rejection device 72, a third light source 73, a fifth camera 74, and a sixth camera 75. The fifth camera 74 and the sixth camera 75 respectively photograph the upper and lower surfaces of the capsule, and the third light source unit 73 functions as auxiliary lighting. The IPC timing processing unit 2 receives a signal of the proximity switch 71 and sends instructions to the light source controller 4, the fifth camera 74, and the sixth camera 75 so that the light source is turned on and the cameras take pictures. The image processor 1 receives the images of the two cameras and processes the images, whether the transparent paper on the cigarette case is defective or not is judged according to the processing result, if yes, the image processor 1 sends an instruction to the IPC time sequence processing unit 2, and the IPC time sequence processing unit 2 controls the third removing device 72 to remove the defective cigarette case.
Preferably, the light source is an LED light source. Preferably, the video camera is a CCD industrial camera.
The human-computer interface is used for setting a detection threshold value on each station and performing other manual operations.
Fig. 2 is another embodiment of the multi-station quality monitoring apparatus of the packaging machine, which is designed according to the field installation space of the packaging machine. The working principle of fig. 2 is the same as that of fig. 1. Compared with the embodiment shown in fig. 1, the embodiment of fig. 2 divides the control part into a main console and a sub electric control cabinet, divides the image processor into a first image processor and a second image processor, divides the IPC timing processing unit into an IPC main unit and an IPC slave unit, and divides the light source controller into a first light source controller and a second light source controller.
The main operating platform is equipment mainly operated and checked by operators, is arranged on the air of the lower cigarette position of the packaging machine, and cannot influence the normal operation of the packaging machine at the position, so that the operators can check and operate conveniently. The main console is provided with a first image processor 11, a second image processor 12, a screen cutter 8, a human-computer interface 3, an IPC main unit 21, a first light source controller 41, a power supply module and the like. Because the cameras and the light sources of the first station and the second station are not far away from the main operating platform, the equipment on the main operating platform is directly connected with the cameras and the light sources of the first station and the second station by using a special line, and the cleanliness maximization of the equipment is ensured.
The first image processor 11 is in signal connection with the first camera 54, the second image processor 12 is in signal connection with the second camera 64, the third camera 65 and the fourth camera 66, the first image processor 11 and the second image processor 12 are in signal connection with the IPC main unit 21, the first light source controller 41 is in signal connection with the first light source section 53 and the second light source section 63, and the IPC main unit 21 is in signal connection with the first encoder 51, the first rejecting device 52, the second encoder 61 and the second rejecting device 62. The operator switches and displays the processing results of the first image processor 11 and the second image processor 12 on the human-computer interface 3 through the screen cutting device 8.
The auxiliary electric control cabinet is arranged behind or above the packaging machine, the auxiliary electric control cabinet is small in size, and the IPC slave station unit 22, the second light source controller 42, the wiring terminal row 9, the power supply module and the like are arranged in the auxiliary electric control cabinet. The third light source part 73 of the third station is controlled by the auxiliary electric control cabinet, the fifth camera 74 and the sixth camera 75 are connected to the first image processor 11 of the main operation table from the bridge frame through the wiring terminal block 9 and the network cable, and images shot by the cameras are transmitted to the first image processor 11 through the wiring terminal block 9. The IPC slave station unit 22 is connected to the IPC main unit 21 of the main console from the bridge through a network cable. The IPC slave unit 22 is in signal connection with the second light source controller 42, and the IPC slave unit 22 sends a control instruction to the second light source controller 42 to trigger the activation of the third light source section 73. The IPC slave unit 22 receives the signal of the proximity switch 71 and sends instructions to the second light source controller 42, the fifth camera 74, and the sixth camera 75. The IPC slave unit 22 controls the third rejecting device 72 to reject the cigarette packets according to the defect information on the third station determined by the first image processor 1.
On the basis of the multi-station quality monitoring device of the packaging machine, the application provides a multi-station quality monitoring method of the packaging machine, and the method is suitable for a control part. As shown in fig. 3, the multi-station quality monitoring method of the packaging machine includes the following steps:
s310: receiving images of materials, wherein the materials comprise cigarette case molds, small cigarette cases and cigarette cases. Referring to fig. 1 and 2, the images of the material come from cameras at the first station 5, the second station 6 and the third station 7.
S320: and processing the image to obtain a processing result of the image.
S330: and judging whether the material has defects according to the processing result of the image. If yes, go to S340.
S340: and removing the materials.
Specifically, on a first station, the image of the cigarette box mold is shot by the first camera, and the image processor processes the image of the cigarette box mold to obtain the quality condition of the cigarettes in the cigarette box mold.
Firstly, the image of the cigarette box mold is preprocessed, and then the preprocessed image is further processed.
The preprocessing includes determining the region to be detected. And for the first station, the area to be detected is the position of the cigarette. As one embodiment, the region to be detected is positioned by adopting a template matching mode.
As an embodiment, the further processing comprises calculating image grey values of the region to be detected and/or an area of the region to be detected.
When the cigarette is lack of a filter tip, inverted or missing, the gray value of the corresponding position on the image or the area of the region to be detected and the like can change relative to the standard value. Therefore, if the image gray value is smaller than the first threshold value and/or the area of the region to be detected is smaller than the second threshold value, the cigarette box mold is judged to have the defect of lacking a filter tip, upside-down mounting or lacking a cigarette.
As another embodiment, the further processing includes binarizing the region to be detected and calculating the black area of the binarized region to be detected.
When the cigarette in the cigarette box mold is extruded and deformed, the black area on the position corresponding to the cigarette extruded and deformed on the binarized image is reduced. Therefore, if the black area is smaller than the third threshold value, the cigarette in the cigarette box mold is judged to have the defect of extrusion deformation.
As yet another embodiment, the further processing includes obtaining a contour of the region to be detected. When the cigarette in the cigarette box mold lacks a filter tip or the cigarette box mold lacks a cigarette, the corresponding position on the image lacks the outline of the cigarette. Therefore, if the contour is smaller than the standard contour and the difference value between the contour and the standard contour is larger than the fourth threshold value, the cigarette box mold is judged to have the defect of lacking the filter tip or lacking the cigarette.
And on a second station, a second camera shoots an aluminum foil image on the small cigarette packet, and the image processor processes the aluminum foil image to obtain the quality condition of the aluminum foil. The third camera and the fourth camera shoot images of inner frame paper of the small cigarette packet, and the image processor processes the images of the inner frame paper to obtain the quality condition of the inner frame paper.
The processing of the aluminium foil paper image comprises preprocessing and further processing of the preprocessed image.
The preprocessing includes determining the region to be detected. And for the aluminum-foil image, the area to be detected is the position of the aluminum-foil. As one embodiment, the region to be detected is positioned by adopting a template matching mode.
As an embodiment, the further processing includes binarizing the region to be detected, and calculating a ratio between black pixels or white pixels in the binarized region to be detected and total pixels of the region to be detected, respectively.
When the aluminum foil paper of the cigarette packet is wrinkled, damaged or lost, the gray value of the shot image changes. Therefore, if the above ratio is greater than the fifth threshold, the aluminum foil paper of the small cigarette packet is determined to have the defects of folding, damage or at least partial loss.
As another embodiment, the further processing includes calculating a pixel mean or a pixel variance of the region to be detected. When the aluminum foil paper at the bottom of the cigarette packet is folded, damaged or lost, white spots or black spots appear at the corresponding position. Therefore, if the difference between the pixel mean and the standard mean is greater than the sixth threshold or the difference between the pixel variance and the standard variance is greater than the ninth threshold, the aluminum foil paper of the small cigarette packet is judged to have the defects of folding, damage or at least partial deletion.
The processing of the inner frame paper image of the small cigarette packet comprises the steps of determining a region to be detected and then calculating the similarity or position difference between the region to be detected and a standard image. When the inner frame paper of the cigarette packet is wrinkled, damaged or lost, the position of the inner frame paper of the cigarette packet can be changed, the pattern can be lost, and white spots or black spots can also appear. Therefore, if the similarity is smaller than the seventh threshold or the position difference is larger than the tenth threshold, it is determined that the inner frame paper has a defect of wrinkle, damage, or at least partial loss.
If the cigarette packet in the small box has defects, the image processor sends a marking signal to the IPC time sequence processing unit, and the IPC time sequence processing unit marks the cigarette packet in the small box. When the small cigarette packet reaches the removing position, the IPC time sequence processing unit checks whether the small cigarette packet has a removing mark, and if so, the solenoid valve is started to drive the solenoid valve to blow the small cigarette packet out of the production line.
For the third station, the second camera and the sixth camera take images of the top face and the bottom face of the cigarette case, respectively, the top face image and the bottom face image constituting an image of the cigarette case. The image processor processes the image of the cigarette case to obtain the quality condition of the transparent paper on the cigarette case.
As an example, as shown in fig. 4, processing the image of the cigarette pack includes:
s410: and preprocessing the image of the cigarette case.
Specifically, the preprocessing at least comprises gray level transformation and filtering and denoising of the cigarette case image.
S420: and carrying out straight line detection on the preprocessed image.
The transparent paper on the cigarette case has the characteristic of light reflection, and when the transparent paper is wrinkled, bright lines appear on the image, so that the transparent paper is detected to have defects by adopting a stay wire detection algorithm.
S430: and judging whether the preprocessed image has a straight line or not. If yes, S440 is performed.
S440: the length of the straight line is calculated.
S450: and judging whether the length is larger than an eighth threshold value. If yes, go to S460.
S460: judging the cigarette case has the defect of fold.
As another embodiment, as shown in fig. 5, the processing the top surface image includes:
s510: and preprocessing the image of the cigarette case.
Specifically, the preprocessing at least comprises gray level transformation and filtering and denoising of the cigarette case image.
S520: and carrying out edge detection on the preprocessed image, and extracting an edge image.
S530: and (3) performing binarization processing on the edge image, performing gray value statistics in the horizontal direction and the vertical direction by adopting a projection method, and extracting the boundary of the cigarette case image so as to realize the separation of the cigarette case image.
S540: and calculating the similarity between the separated cigarette case image and the template image.
S550: and judging whether the similarity is smaller than an eleventh threshold. If yes, go to S560.
S560: and determining that the cigarette case image is unqualified.
Further, if the cigarette box image is not qualified, the embodiment further comprises:
s570: and extracting the pixel map of the defective part of the unqualified cigarette case by adopting a difference image method, and counting the pixel value of the pixel map to be used as the pixel area of the defective part.
S580: and judging whether the pixel area is larger than a twelfth threshold value. If yes, S590 is performed.
S590: judging the defect of breakage of the transparent paper of the cigarette case.
This application adopts visual detection technique to carry out centralized processing to the different functions that detect of a plurality of independent stations, has promoted the convenience and the accuracy that detect, avoids the inefficiency and the problem with high costs that artifical measuring brought, avoids the overlapping investment that brings for single station installation check out test set simultaneously, the cost is reduced to production quality has been guaranteed.
Although some specific embodiments of the present application have been described in detail by way of example, it should be understood by those skilled in the art that the above examples are for illustrative purposes only and are not intended to limit the scope of the present application. It will be appreciated by those skilled in the art that modifications may be made to the above embodiments without departing from the scope and spirit of the present application. The scope of the application is defined by the appended claims.
Claims (10)
1. A method for multi-station quality monitoring of a packaging machine, comprising:
receiving an image of a material, wherein the material comprises a cigarette box mold, a small cigarette box and a cigarette box;
processing the image, and judging whether the material has defects according to the processing result of the image;
and if so, removing the materials.
2. A method for multistation quality monitoring of a packaging machine according to claim 1 wherein the processing of the images of the cigarette carton moulds comprises:
determining a first area to be detected;
calculating the image gray value of the first region to be detected and the area of the first region to be detected;
if the image gray value of the first detection area is smaller than a first threshold value and/or the area of the first detection area is smaller than a second threshold value, the cigarette box mold is judged to have the defects of filter missing, cigarette inversion or cigarette missing.
3. A method for multistation quality monitoring of a packaging machine according to claim 1 wherein the processing of the images of the cigarette carton moulds comprises:
determining a second region to be detected;
binarizing the second region to be detected;
and calculating the black area of the second to-be-detected region after binarization.
4. A multi-station quality monitoring method for a packing machine according to claim 3, wherein if the black area is smaller than a third threshold, it is determined that the cigarettes in the cigarette box mold have the defect of extrusion deformation.
5. A method for multistation quality monitoring of a packaging machine according to claim 1 wherein the processing of the images of the cigarette carton moulds comprises:
determining a third area to be detected;
obtaining the outline of the third region to be detected;
if the contour is smaller than the standard contour and the difference value between the contour and the standard contour is larger than a fourth threshold value, the cigarette box mold is judged to have the defect of lacking a filter tip or lacking a cigarette.
6. A method for multistation quality monitoring of a packaging machine according to claim 1 wherein the images of packets of cigarettes comprise images of aluminium foil paper;
the processing of the aluminum foil paper image of the small cigarette packet comprises the following steps:
determining a fourth region to be detected;
carrying out binarization on the fourth region to be detected;
and respectively calculating the ratio of black pixels and white pixels in the fourth area to be detected after binarization to the total pixels in the fourth area to be detected.
7. A method for multistation quality monitoring of a packaging machine according to claim 6 wherein if the ratio is greater than a fifth threshold value, it is determined that the aluminium foil of the packets of packets is wrinkled, damaged or at least partially missing.
8. A multistation quality monitoring method for a packaging machine according to claim 6 or 7, characterized in that processing the aluminium foil paper image of the small cigarette packet further comprises calculating the pixel mean value of the fourth area to be detected;
and the number of the first and second electrodes,
and if the difference value between the pixel mean value and the standard mean value is larger than a sixth threshold value, judging that the aluminum foil paper of the small cigarette packet has the defects of folds, damage or at least partial deletion.
9. A method of multistation quality monitoring of a packaging machine according to claim 1 wherein the images of packets of cigarettes comprise images of inner casing paper;
the processing of the inner frame paper image of the small cigarette packet comprises the following steps:
determining a fifth region to be detected;
calculating the similarity between the fifth region to be detected and a standard image;
and the number of the first and second electrodes,
and if the similarity is smaller than a seventh threshold value, judging that the inner frame paper has the defects of folds, damage or at least partial deletion.
10. A method of multistation quality monitoring of a packaging machine according to claim 1 wherein processing the images of the packs comprises:
preprocessing the image of the cigarette case;
carrying out linear detection on the preprocessed image;
if the preprocessed image has a straight line, calculating the length of the straight line;
and if the length is larger than the eighth threshold value, judging that the cigarette case has a wrinkle defect.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110745995.4A CN113277146A (en) | 2021-07-01 | 2021-07-01 | Multi-station quality monitoring method for packaging machine |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110745995.4A CN113277146A (en) | 2021-07-01 | 2021-07-01 | Multi-station quality monitoring method for packaging machine |
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| CN113277146A true CN113277146A (en) | 2021-08-20 |
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