Abnormal nozzle detection effect confirmation method, device, equipment and storage medium

Abstract

The application discloses an abnormal nozzle detection effect confirmation method and device, equipment and storage medium, and relates to the field of ink-jet printing technology. The method prints an abnormal nozzle detection image on a medium to obtain an abnormal nozzle calibration image, determines an abnormal nozzle mark, and then acquires an abnormal nozzle mark detection image according to the abnormal nozzle mark, prints the abnormal nozzle mark detection image on the medium to obtain an abnormal nozzle mark calibration image, so that whether the abnormal nozzle mark is accurate can be quickly and accurately judged, and the risk of false judgment of the abnormal nozzle is reduced. The detection of the abnormal nozzle mark improves the reliability of the abnormal nozzle detection, and ensures the accuracy of subsequent nozzle cleaning and abnormal nozzle compensation printing operations. By generating an abnormal nozzle mark detection image and printing again, the accuracy of the abnormal nozzle detection is further improved, the operator can more accurately identify and handle the abnormal nozzle problem, and thus the quality of the final product is improved.

Description

Technical Field

[0001] This invention relates to the field of inkjet printing technology, and in particular to a method, apparatus, equipment, and storage medium for confirming the effectiveness of abnormal nozzle detection. Background Technology

[0002] In the inkjet printing industry, printheads are susceptible to clogging, partial clogging, and other abnormalities caused by impurities in the ink, dust in the air, ambient temperature, and humidity. When a nozzle becomes clogged, it's crucial to detect and identify the location of the abnormal nozzle for timely printhead cleaning or nozzle compensation printing; otherwise, print quality will be compromised. A common method for detecting abnormal nozzles is to print a line inspection map of each nozzle channel in the printhead. Then, using machine vision or manual observation, the corresponding printed image is analyzed to identify missing lines and pinpoint the location of the abnormal nozzle within its channel, thus obtaining its corresponding nozzle identifier (such as a number or label). During printing, the corresponding nozzle number or identifier is entered into the print control software to initiate nozzle cleaning or abnormal nozzle compensation printing to prevent print quality degradation caused by nozzle abnormalities. However, errors in machine vision or manual identification, or incorrect nozzle number or label output, can lead to cleaning or compensation printing of the wrong nozzle, resulting in no improvement in subsequent print quality. Summary of the Invention

[0003] In view of this, embodiments of the present invention provide a method, apparatus, device and storage medium for confirming the effect of abnormal nozzle detection, in order to solve the problem of incorrect identification of abnormal nozzles in the existing technology.

[0004] In a first aspect, embodiments of the present invention provide a method for confirming the detection effect of abnormal nozzles, the method comprising:

[0005] Acquire abnormal nozzle detection images;

[0006] The abnormal nozzle detection image is printed onto a medium to obtain an abnormal nozzle calibration image;

[0007] The abnormal nozzle identifier is determined based on the abnormal nozzle calibration image;

[0008] Obtain the abnormal nozzle identification detection image based on the abnormal nozzle identification and the abnormal nozzle detection image;

[0009] Print the abnormal nozzle identification detection image onto a medium to obtain an abnormal nozzle identification calibration image;

[0010] The accuracy of the abnormal nozzle identification is determined based on the calibration image of the abnormal nozzle identification.

[0011] Preferably, acquiring the abnormal nozzle detection image includes:

[0012] The abnormal nozzle detection image is set according to the number A of nozzles in the nozzle channel to be detected. The abnormal nozzle detection image includes an image of an N-row M-column digital matrix, where the product of N and M is greater than or equal to the number A of nozzles in the nozzle channel to be detected. The elements of the digital matrix include 1, 2, 3, ..., A. The elements in each row are arranged in a continuously increasing manner, and the elements in the last column of the previous row and the first column of the next row are also arranged in a continuously increasing manner. N and M are both natural numbers greater than or equal to 1.

[0013] Preferably, acquiring the abnormal nozzle detection image includes:

[0014] The abnormal nozzle detection image is set according to the number A of nozzles in the nozzle channel to be detected. The abnormal nozzle detection image includes an image of N rows and M columns of line segments, and the product of N and M is greater than or equal to the number A of nozzles in the nozzle channel to be detected. The line segments in each row are arranged in a descending step form along the main scanning direction, and the line segments in each column are projected and overlapped along the sub-scanning direction. N and M are both natural numbers greater than or equal to 1, and the sub-scanning direction is perpendicular to the main scanning direction.

[0015] Preferably, the digital image or line segment image in the abnormal nozzle detection image is designated as the first element image; the image corresponding to the first element image in the abnormal nozzle calibration image is designated as the second element image, and determining the abnormal nozzle identifier based on the abnormal nozzle calibration image includes:

[0016] The image acquisition device is controlled to acquire the calibration image of the abnormal nozzle to obtain the acquired image;

[0017] The acquired images are analyzed to obtain images of missing or abnormally printed second elements in the abnormal nozzle calibration images;

[0018] The abnormal nozzle identifier is determined based on the image of the second element that is missing or has printing anomalies.

[0019] Preferably, obtaining the abnormal nozzle identification detection image based on the abnormal nozzle identification and the abnormal nozzle detection image includes:

[0020] The location for adding the marker image is determined based on the abnormal nozzle marker;

[0021] Based on the location where the identification image is added, obtain the first element image that needs to be adjusted in the abnormal nozzle detection image, and denot it as the adjustment element image;

[0022] An identifier image is added to the original image of the adjusted element image to obtain the abnormal nozzle identifier detection image.

[0023] Preferably, the identifier image includes one or more of the following: character image, circular image, polygonal image, and star image.

[0024] Preferably, the identification image is printed through a normal nozzle adjacent to the abnormal nozzle.

[0025] Secondly, embodiments of the present invention provide an abnormal nozzle detection effect confirmation device, the device comprising:

[0026] An abnormal nozzle detection image acquisition module is used to acquire abnormal nozzle detection images;

[0027] The first printing module is used to print the abnormal nozzle detection image onto a medium to obtain an abnormal nozzle calibration image.

[0028] An abnormal nozzle identification determination module is used to determine an abnormal nozzle identification based on the abnormal nozzle calibration image.

[0029] An abnormal nozzle identifier detection image acquisition module is used to acquire an abnormal nozzle identifier detection image based on the abnormal nozzle identifier and the abnormal nozzle detection image;

[0030] The second printing module is used to print the abnormal nozzle identification detection image onto a medium to obtain an abnormal nozzle identification calibration image.

[0031] The judgment module is used to determine whether the abnormal nozzle mark is accurate based on the abnormal nozzle mark calibration image.

[0032] Thirdly, embodiments of the present invention provide an abnormal nozzle detection effect confirmation device, comprising: at least one processor, at least one memory, and computer program instructions stored in the memory, wherein when the computer program instructions are executed by the processor, the method of the first aspect described above is implemented.

[0033] Fourthly, embodiments of the present invention provide a storage medium storing computer program instructions, which, when executed by a processor, implement the method of the first aspect described above.

[0034] In summary, the beneficial effects of the present invention are as follows:

[0035] The abnormal nozzle detection effect confirmation method, apparatus, device, and storage medium provided in this invention, through printing the abnormal nozzle detection image onto the medium to obtain an abnormal nozzle calibration image, acquiring the abnormal nozzle position and determining the abnormal nozzle identifier, and then obtaining an abnormal nozzle identifier detection image based on the abnormal nozzle identifier, and printing the abnormal nozzle identifier detection image onto the medium to obtain an abnormal nozzle identifier calibration image, can quickly and accurately determine whether the abnormal nozzle identifier is accurate, reducing the risk of false positives for abnormal nozzles. The detection of abnormal nozzle identifiers improves the reliability of abnormal nozzle detection, ensuring the accuracy of subsequent nozzle cleaning and abnormal nozzle compensation printing operations. It is worth mentioning that by generating and reprinting the abnormal nozzle identifier detection image, the effective verification of the status of all nozzles is further ensured, further improving the accuracy of abnormal nozzle detection, helping operators to more accurately identify and handle abnormal nozzle problems, thereby improving the quality of the final product. Attached Figure Description

[0036] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the embodiments of the present invention will be briefly introduced below. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort, and these are all within the protection scope of the present invention.

[0037] Figure 1 This is a schematic diagram showing the number of nozzles and spray heads in an embodiment of the present invention.

[0038] Figure 2 This is a flowchart illustrating the method for confirming the detection effect of abnormal nozzles according to an embodiment of the present invention.

[0039] Figure 3 This is a schematic diagram of an abnormal nozzle detection image according to an embodiment of the present invention.

[0040] Figure 4 This is a schematic diagram of an abnormal nozzle detection image according to an embodiment of the present invention.

[0041] Figure 5 This is a schematic diagram of an abnormal nozzle calibration image according to an embodiment of the present invention.

[0042] Figure 6 This is a schematic diagram of an abnormal nozzle calibration image according to an embodiment of the present invention.

[0043] Figure 7 This is a schematic diagram of an abnormal nozzle identification calibration image according to an embodiment of the present invention.

[0044] Figure 8 This is a schematic diagram of an abnormal nozzle identification calibration image according to an embodiment of the present invention.

[0045] Figure 9This is a schematic diagram of the abnormal nozzle detection effect confirmation device according to an embodiment of the present invention.

[0046] Figure 10 This is a schematic diagram of the abnormal nozzle detection effect confirmation device according to an embodiment of the present invention. Detailed Implementation

[0047] The features and exemplary embodiments of various aspects of the present invention will now be described in detail. To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only configured to explain the present invention and are not configured to limit the present invention. For those skilled in the art, the present invention can be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the invention.

[0048] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes said element.

[0049] Example 1

[0050] This invention provides a method for confirming the detection effect of abnormal nozzles. This method is applicable to detecting whether nozzles in each channel of a nozzle head are blocked or partially blocked, or other abnormal conditions. Figure 1 As shown, a printhead includes at least one channel for ejecting ink droplets, which is composed of 200 nozzles arranged at equal intervals. In practical printing applications, a printhead typically includes four color channels: C (cyan), M (magenta), Y (yellow), and K (black) to print color images. For ease of description, the following example, using a printhead controlling 200 nozzles in one channel to print an abnormal nozzle detection image and an abnormal nozzle label detection image, illustrates how to determine whether the abnormal nozzle label is accurate.

[0051] Please see Figure 2 The method for confirming the detection effect of abnormal nozzles specifically includes the following steps:

[0052] S1: Acquire abnormal nozzle detection images;

[0053] S2: Print the abnormal nozzle detection image onto a medium to obtain an abnormal nozzle calibration image;

[0054] S3: Determine the abnormal nozzle identifier based on the abnormal nozzle calibration image;

[0055] S4: Obtain the abnormal nozzle identification detection image based on the abnormal nozzle identification and the abnormal nozzle detection image;

[0056] S5: Print the abnormal nozzle identification detection image onto a medium to obtain an abnormal nozzle identification calibration image;

[0057] S6: Determine whether the abnormal nozzle marking is accurate based on the calibration image of the abnormal nozzle marking.

[0058] Specifically, the first step is to obtain the working status of each nozzle in the printhead by printing an abnormal nozzle detection image, such as a normal state or an abnormal state such as blockage or partial blockage. The abnormal nozzle detection image is printed onto the media to obtain an abnormal nozzle calibration image. This abnormal nozzle calibration image is acquired using an image acquisition device such as a camera, video camera, or scanner. Then, for example, machine vision technology is used to identify the location of the printing abnormality in the abnormal nozzle calibration image, thereby determining the location of the abnormal nozzle. Based on the location of the abnormal nozzle, the abnormal nozzle number and other abnormal nozzle identifiers are determined. Alternatively, the abnormal nozzle number and other abnormal nozzle identifiers can be determined manually by observing the abnormal nozzle calibration image. After obtaining the abnormal nozzle identifier, the printing equipment generates an abnormal nozzle identifier detection image based on the abnormal nozzle identifier and the original abnormal nozzle detection image, and this abnormal nozzle identifier detection image is printed onto the media to obtain an abnormal nozzle identifier calibration image.

[0059] By observing the calibration image of the abnormal nozzle marker or comparing it with the expected print result, it is possible to determine whether the abnormal nozzle marker is correct. Inaccurate abnormal nozzle markers may lead to incorrect cleaning or compensation printing, thus affecting print quality. Therefore, judging the accuracy of the abnormal nozzle marker based on the calibration image and correcting it accordingly when errors are found ensures the accuracy of subsequent nozzle cleaning or abnormal nozzle compensation printing, thereby improving inkjet printing quality.

[0060] In one embodiment, such as Figure 3The diagram shown is a schematic of an abnormal nozzle detection image. The number of rows N and columns M of the digital matrix image in the abnormal nozzle detection image, as well as the elements in the data matrix, are set according to the number A of nozzles A in the nozzle channel to be detected. Preferably, the number of nozzles A is equal to the number of elements N×M in the digital matrix. For example, the digital matrix of the data matrix image in the abnormal nozzle detection image includes 200 elements, namely 1, 2, 3, 4, ..., 200, corresponding to... Figure 1 The nozzle channel is configured with 200 nozzles. In this example, the 200 elements are divided into 20 rows and 10 columns. The elements in each row are arranged in a continuously increasing order, and the elements in the last column of the previous row and the first column of the next row also maintain a continuously increasing order. In other embodiments, the number of rows and columns of the number matrix can be determined according to the actual situation, such as setting it to 10 rows and 20 columns. In other embodiments, each element is represented by three numbers such as 000, 001, 003, etc. In other embodiments, the number of elements in the number matrix, i.e., the product of N and M, is greater than the number of nozzles, such as... Figure 3 The matrix includes other elements after element 200, but the number matrix must include at least elements 1, 2, ..., A.

[0061] In one embodiment, such as Figure 4 The image shown is another schematic diagram of an abnormal nozzle detection image. Similarly, the number of rows N and columns M of the line segment image in the abnormal nozzle detection image are set according to the number A of nozzles A contained in the nozzle channel to be detected. The line segments in each row are arranged in a descending step pattern along the main scanning direction, and the line segments in each column are projected and overlapped along the sub-scanning direction. N and M are both natural numbers greater than or equal to 1, and the sub-scanning direction is perpendicular to the main scanning direction. For example, the abnormal nozzle detection image includes 200 line segments, corresponding to... Figure 1 The nozzle channel has 200 nozzles. In this example, the 200 line segments are divided into 20 rows and 10 columns. The 10 line segments in each row are arranged in a descending stepped manner along the main scanning direction. Adjacent stepped line segments differ by one nozzle spacing in the sub-scanning direction (e.g., ...). Figure 1 As shown in h), the line segments in each column differ by 10 nozzle spacings in the sub-scanning direction. Preferably, numerical identifiers can also be set above or in front of each row and column of line segments, such as numerical identifiers "1,2,3" above each row and numerical identifiers "0,10,20" in front of each column of line segments, to help quickly identify the nozzle position corresponding to each line segment. In other embodiments, the number of rows and columns of line segments can be determined according to the actual situation, for example, set to 10 rows and 20 columns.

[0062] In other embodiments, the abnormal nozzle detection image can also be other images set according to the actual situation, as long as abnormal nozzle detection can be achieved, and is not limited to the images listed in the embodiments of the present invention.

[0063] In one embodiment, the digital image or line segment image in the abnormal nozzle detection image is designated as the first element image; the image corresponding to the first element image in the abnormal nozzle calibration image is designated as the second element image; determining the abnormal nozzle identifier based on the abnormal nozzle calibration image includes:

[0064] The image acquisition device is controlled to acquire the calibration image of the abnormal nozzle to obtain the acquired image;

[0065] The acquired images are analyzed to obtain images of missing or abnormally printed second elements in the abnormal nozzle calibration images;

[0066] The abnormal nozzle identifier is determined based on the image of the second element that is missing or has printing anomalies.

[0067] Specifically, in the abnormal nozzle detection process, the abnormal nozzle detection image is first printed onto the medium to obtain an abnormal nozzle calibration image. The abnormal nozzle calibration image includes the ink output of the nozzle during the actual printing process, reflecting the actual working state of the nozzle, such as whether ink output is normal, whether it is clogged, or partially clogged. Preferably, an image acquisition device is controlled to acquire the abnormal nozzle calibration image to obtain the acquired image, and image analysis is performed on the acquired image. The purpose of image analysis is to identify missing or abnormally printed second element images in the abnormal nozzle calibration image. Here, "missing" means the second element image was not printed, and "abnormal" means that although the second element image was printed, there were abnormalities such as broken lines or ink splatter. For example, image processing algorithms, such as edge detection and pattern recognition, are used to accurately locate and identify missing or defective second element images in the image. Based on the identified missing or abnormally printed second element images, the corresponding abnormal nozzle identifier can be determined. Figure 5 or Figure 6 The image shown is a schematic diagram of an abnormal nozzle calibration image. Figure 6 or Figure 7 As shown, the missing second element image corresponds to the printing positions of the 45th, 145th, and 199th nozzles. Therefore, the abnormal nozzles can be identified as "45", "145", and "199".

[0068] In one embodiment, obtaining the abnormal nozzle identification detection image based on the abnormal nozzle identification and the abnormal nozzle detection image includes:

[0069] The line segment image or digital image in the abnormal nozzle detection image is recorded as the element image;

[0070] The location for adding the marker image is determined based on the abnormal nozzle marker;

[0071] Based on the location where the identification image is added, obtain the element image that needs to be adjusted in the abnormal nozzle detection image, and denot it as the adjustment element image;

[0072] An identifier image is added to the original image of the adjusted element image to obtain the abnormal nozzle identifier detection image.

[0073] Specifically, as described above, the abnormal nozzle detection image includes line segment images or digital images, which are denoted as the first element image. The location for adding the identifier image is determined based on the abnormal nozzle identifier obtained from the abnormal nozzle calibration image. For example, the printed abnormal nozzle calibration image is as follows: Figure 5 or Figure 6 As shown, the actual abnormal nozzles are nozzles 45, 145, and 199, and the correct abnormal nozzle labels are "45", "145", and "199". To better illustrate how to use the label images to detect abnormal nozzles, let's assume that errors occur during machine vision analysis or manual observation, resulting in the identified abnormal nozzle labels being "45", "144", and "199". Then, when setting the label images, if we input "45", "144", and "199" through the human-machine interface of the print control software, the corresponding label image addition positions will be nozzles 45, 144, and 198, respectively. The position of the first element image is used to determine the position of the nozzles. Therefore, the first element images corresponding to nozzles 45, 144, and 199 are recorded as adjustment element images. An identifier image is added to the original image (such as a number or line segment) of the adjustment element image to obtain an abnormal nozzle identifier detection image. This identifier image can be any one or more of the following: character images such as "O", "X", "#", "*", or circular, polygonal, or star-shaped images. However, it needs to be clearly distinguishable from the original first element image. For example, when the first element image is a line segment image, the identifier image should ideally not be a line segment image; when the first element image is a number image, the identifier image should ideally not be a number image. In other embodiments, the identifier image can be determined based on the first element image, making it clearly different from the first element image. This provides clear visual information when the abnormal nozzle identifier detection image is printed onto the medium to obtain an abnormal nozzle identifier calibration image, helping to quickly identify or determine whether the identifier image has been correctly printed at the position corresponding to the abnormal nozzle.

[0074] After obtaining the abnormal nozzle identification detection image, print it onto the media to obtain an abnormal nozzle identification calibration image. When printing the abnormal nozzle identification detection image, the abnormal nozzle compensation printing mode can be enabled to use a normal nozzle adjacent to the abnormal nozzle to print the identification image, ultimately resulting in an image like... Figure 7 Or such as Figure 8The image shown is a calibration image indicating an abnormal nozzle.

[0075] like Figure 7 or Figure 8 As shown, based on the calibration image of the abnormal nozzle identifier, it can be determined that among the previously identified abnormal nozzle identifiers "45", "144", and "199", "45" and "199" are correct abnormal nozzle identifiers, while "144" is an incorrect abnormal nozzle identifier. In this case, it is necessary to re-acquire and analyze the aforementioned abnormal nozzle calibration image or conduct manual inspection to re-identify and correct the abnormal nozzle identifiers, and then perform subsequent nozzle cleaning or abnormal nozzle compensation printing based on the corrected abnormal nozzle identifiers.

[0076] In summary, the abnormal nozzle detection effect verification method provided by this invention, through printing the abnormal nozzle detection image onto a medium to obtain an abnormal nozzle calibration image, acquiring the abnormal nozzle position and determining the abnormal nozzle identifier, and then obtaining an abnormal nozzle identifier detection image based on the abnormal nozzle identifier, and printing the abnormal nozzle identifier detection image onto a medium to obtain an abnormal nozzle identifier calibration image, can quickly and accurately determine whether the abnormal nozzle identifier is accurate, reducing the risk of misjudging abnormal nozzles. The detection of abnormal nozzle identifiers improves the reliability of abnormal nozzle detection, ensuring the accuracy of subsequent nozzle cleaning and abnormal nozzle compensation printing operations. It is worth mentioning that by generating and reprinting the abnormal nozzle identifier detection image, the effective verification of the status of all nozzles is further ensured, further improving the accuracy of abnormal nozzle detection, helping operators to more accurately identify and handle abnormal nozzle problems, thereby improving the quality of the final product.

[0077] Example 2

[0078] Please see Figure 9 This invention provides an abnormal nozzle detection effect confirmation device 200, the device 200 comprising:

[0079] Abnormal nozzle detection image acquisition module 201 is used to acquire abnormal nozzle detection images;

[0080] The first printing module 202 is used to print the abnormal nozzle detection image onto a medium to obtain an abnormal nozzle calibration image.

[0081] Abnormal nozzle identification determination module 203 is used to determine abnormal nozzle identification based on the abnormal nozzle calibration image;

[0082] The abnormal nozzle identification detection image acquisition module 204 is used to acquire an abnormal nozzle identification detection image based on the abnormal nozzle identification and the abnormal nozzle detection image.

[0083] The second printing module 205 is used to print the abnormal nozzle mark detection image onto a medium to obtain an abnormal nozzle mark calibration image.

[0084] The judgment module 206 is used to determine whether the abnormal nozzle mark is accurate based on the abnormal nozzle mark calibration image.

[0085] Preferably, the abnormal nozzle identification determination module 203 includes:

[0086] The acquisition unit is used to control the image acquisition device to acquire the abnormal nozzle calibration image to obtain the acquired image;

[0087] Anomaly acquisition unit is used to perform image analysis on the acquired image and acquire the second element image that is missing or has printing anomalies in the abnormal nozzle calibration image;

[0088] A determining unit is used to determine the abnormal nozzle identifier based on the image of the missing or printing abnormal second element.

[0089] Preferably, the abnormal nozzle identification detection image acquisition module 204 includes:

[0090] A location acquisition unit is used to determine the location for adding the marker image based on the abnormal nozzle marker.

[0091] The element image acquisition unit is used to acquire the first element image that needs to be adjusted in the abnormal nozzle detection image according to the position of the added mark image, and is denoted as the adjustment element image.

[0092] An adjustment unit is used to add an identification image to the original image of the adjustment element image to obtain the abnormal nozzle identification detection image.

[0093] In summary, the abnormal nozzle detection effect verification device provided in this embodiment of the invention quickly and accurately determines the accuracy of abnormal nozzle identification by printing the abnormal nozzle detection image onto a medium to obtain an abnormal nozzle calibration image, acquiring the abnormal nozzle position and determining the abnormal nozzle identifier, and then obtaining an abnormal nozzle identifier detection image based on the abnormal nozzle identifier. Printing the abnormal nozzle identifier detection image onto a medium again yields an abnormal nozzle identifier calibration image, thereby reducing the risk of misidentification of abnormal nozzles. The detection of abnormal nozzle identifiers improves the reliability of abnormal nozzle detection, ensuring the accuracy of subsequent nozzle cleaning and abnormal nozzle compensation printing operations. It is worth mentioning that by generating and reprinting the abnormal nozzle identifier detection image, the effective verification of the status of all nozzles is further ensured, further improving the accuracy of abnormal nozzle detection and helping operators to more accurately identify and handle abnormal nozzle problems, thereby improving the quality of the final product.

[0094] Example 3

[0095] In addition, the abnormal nozzle detection effect confirmation method of this invention can be implemented by an abnormal nozzle detection effect confirmation device. Figure 10 A schematic diagram of the hardware structure of the abnormal nozzle detection effect confirmation device provided in an embodiment of the present invention is shown.

[0096] The device for confirming the effectiveness of abnormal nozzle detection may include a processor 301 and a memory 302 storing computer program instructions.

[0097] Specifically, the processor 301 may include a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of the present invention.

[0098] Memory 302 may include mass storage for data or instructions. For example, and not limitingly, memory 302 may include a hard disk drive (HDD), floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 302 may include removable or non-removable (or fixed) media. Where appropriate, memory 302 may be internal or external to a data processing device. In a particular embodiment, memory 302 is a non-volatile solid-state memory. In a particular embodiment, memory 302 includes read-only memory (ROM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), an electrically rewritable ROM (EAROM), or flash memory, or a combination of two or more of these.

[0099] The processor 301 reads and executes computer program instructions stored in the memory 302 to implement any of the abnormal nozzle detection effect confirmation methods in the above embodiments.

[0100] In one example, the abnormal nozzle detection effect verification device may also include a communication interface 303 and a bus 310. For example, Figure 10 As shown, the processor 301, memory 302, and communication interface 303 are connected through bus 310 and complete communication with each other.

[0101] The communication interface 303 is mainly used to realize communication between various modules, devices, units and / or equipment in the embodiments of the present invention.

[0102] Bus 310 includes hardware, software, or both, that couples components of an abnormal nozzle detection effect confirmation device together. For example, and not as a limitation, bus 310 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a Microchannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or other suitable buses, or combinations of two or more of these. Where appropriate, bus 310 may include one or more buses. While specific buses are described and illustrated in embodiments of the invention, the invention contemplates any suitable bus or interconnect.

[0103] Example 4

[0104] Furthermore, in conjunction with the abnormal nozzle detection effect confirmation method in the above embodiments, this invention can be implemented using a computer-readable storage medium. This computer-readable storage medium stores computer program instructions; when these computer program instructions are executed by the processor 301, they implement any of the abnormal nozzle detection effect confirmation methods in the above embodiments.

[0105] In summary, the abnormal nozzle detection effect confirmation method, apparatus, device, and storage medium provided in this invention, by printing the abnormal nozzle detection image onto the medium to obtain an abnormal nozzle calibration image, acquiring the abnormal nozzle position and determining the abnormal nozzle identifier, and then obtaining an abnormal nozzle identifier detection image based on the abnormal nozzle identifier, and printing the abnormal nozzle identifier detection image onto the medium to obtain an abnormal nozzle identifier calibration image, can quickly and accurately determine whether the abnormal nozzle identifier is accurate, reducing the risk of misjudging abnormal nozzles. The detection of abnormal nozzle identifiers improves the reliability of abnormal nozzle detection, ensuring the accuracy of subsequent nozzle cleaning and abnormal nozzle compensation printing operations. It is worth mentioning that by generating and reprinting the abnormal nozzle identifier detection image, the effective verification of the status of all nozzles is further ensured, further improving the accuracy of abnormal nozzle detection, helping operators to more accurately identify and handle abnormal nozzle problems, thereby improving the quality of the final product.

[0106] It should be clarified that the present invention is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present invention is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of the present invention.

[0107] The functional blocks shown in the above-described structural diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this invention are programs or code segments used to perform the required tasks. The programs or code segments can be stored on a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried in a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. Code segments can be downloaded via computer networks such as the Internet, intranets, etc.

[0108] It should also be noted that the exemplary embodiments mentioned in this invention describe methods or systems based on a series of steps or apparatus. However, this invention is not limited to the order of the steps described above; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0109] The above description is merely a specific embodiment of the present invention. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the protection scope of the present invention.

Claims

1. A method for confirming the detection effect of abnormal nozzles, characterized in that, The method includes: Acquire abnormal nozzle detection images; The abnormal nozzle detection image is printed onto a medium to obtain an abnormal nozzle calibration image; The abnormal nozzle identifier is determined based on the abnormal nozzle calibration image; Obtain the abnormal nozzle identification detection image based on the abnormal nozzle identification and the abnormal nozzle detection image; Print the abnormal nozzle identification detection image onto a medium to obtain an abnormal nozzle identification calibration image; The accuracy of the abnormal nozzle identification is determined based on the calibration image of the abnormal nozzle identification.

2. The method for confirming the detection effect of abnormal nozzles according to claim 1, characterized in that, The acquisition of abnormal nozzle detection images includes: The abnormal nozzle detection image is set according to the number A of nozzles in the nozzle channel to be detected. The abnormal nozzle detection image includes an image of an N-row M-column digital matrix, where the product of N and M is greater than or equal to the number A of nozzles in the nozzle channel to be detected. The elements of the digital matrix include 1, 2, 3, ..., A. The elements in each row are arranged in a continuously increasing manner, and the elements in the last column of the previous row and the first column of the next row are also arranged in a continuously increasing manner. N and M are both natural numbers greater than or equal to 1.

3. The method for confirming the detection effect of abnormal nozzles according to claim 1, characterized in that, The acquisition of abnormal nozzle detection images includes: The abnormal nozzle detection image is set according to the number A of nozzles in the nozzle channel to be detected. The abnormal nozzle detection image includes an image of N rows and M columns of line segments, and the product of N and M is greater than or equal to the number A of nozzles in the nozzle channel to be detected. The line segments in each row are arranged in a descending step form along the main scanning direction, and the line segments in each column are projected and overlapped along the sub-scanning direction. N and M are both natural numbers greater than or equal to 1, and the sub-scanning direction is perpendicular to the main scanning direction.

4. The method for confirming the detection effect of abnormal nozzles according to claim 2 or 3, characterized in that, The digital image or line segment image in the abnormal nozzle detection image is recorded as the first element image; The image corresponding to the first element image in the abnormal nozzle calibration image is designated as the second element image. Determining the abnormal nozzle identifier based on the abnormal nozzle calibration image includes: The image acquisition device is controlled to acquire the calibration image of the abnormal nozzle to obtain the acquired image; The acquired images are analyzed to obtain images of missing or abnormally printed second elements in the abnormal nozzle calibration images; The abnormal nozzle identifier is determined based on the image of the second element that is missing or has printing anomalies.

5. The method for confirming the detection effect of abnormal nozzles according to claim 4, characterized in that, The step of obtaining the abnormal nozzle identifier detection image based on the abnormal nozzle identifier and the abnormal nozzle detection image includes: The location for adding the marker image is determined based on the abnormal nozzle marker; Based on the location where the identification image is added, obtain the first element image that needs to be adjusted in the abnormal nozzle detection image, and denot it as the adjustment element image; An identifier image is added to the original image of the adjusted element image to obtain the abnormal nozzle identifier detection image.

6. The method for confirming the detection effect of abnormal nozzles according to claim 5, characterized in that, The identifier image includes any one or more of the following: character image, circular image, polygonal image, and star image.

7. The method for confirming the detection effect of abnormal nozzles according to claim 5, characterized in that, The identification image is printed through a normal nozzle adjacent to the abnormal nozzle.

8. A device for confirming the detection effect of abnormal nozzles, characterized in that, The device includes: An abnormal nozzle detection image acquisition module is used to acquire abnormal nozzle detection images; The first printing module is used to print the abnormal nozzle detection image onto a medium to obtain an abnormal nozzle calibration image. An abnormal nozzle identification determination module is used to determine an abnormal nozzle identification based on the abnormal nozzle calibration image. An abnormal nozzle identifier detection image acquisition module is used to acquire an abnormal nozzle identifier detection image based on the abnormal nozzle identifier and the abnormal nozzle detection image; The second printing module is used to print the abnormal nozzle identification detection image onto a medium to obtain an abnormal nozzle identification calibration image. The judgment module is used to determine whether the abnormal nozzle mark is accurate based on the abnormal nozzle mark calibration image.

9. A device for confirming the detection effect of abnormal nozzles, characterized in that, include: At least one processor, at least one memory, and computer program instructions stored in the memory, which, when executed by the processor, implement the method as described in any one of claims 1-7.

10. A storage medium storing computer program instructions thereon, characterized in that, The method as described in any one of claims 1-7 is implemented when the computer program instructions are executed by the processor.

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