A printing quality inspection method, system, device and storage medium

Abstract

This application relates to the field of printing technology, and more particularly to a printing quality inspection method, system, equipment, and storage medium. The method includes: establishing a quality standard model based on environmental and material characteristic parameters; obtaining the actual environmental and material characteristic parameters corresponding to the production of the printed product; inputting the actual environmental and material characteristic parameters into the quality standard model and outputting a quality standard parameter information table corresponding to the printed product; acquiring printing effect information of the printed product through a multimodal detection device; comparing the printing effect information with the quality standard parameter information table to generate a comparison result; displaying the comparison result and generating corresponding problem feedback information. This application enables comprehensive and real-time monitoring of printing quality, and through the establishment of the quality standard model, makes the system more adaptable and intelligent.

Description

Technical Field

[0001] This application relates to the field of printing technology, and in particular to a printing quality inspection method, system, equipment and storage medium. Background Technology

[0002] Print quality inspection is a crucial quality control step in the printing industry, ensuring that printed materials meet predetermined standards. Traditional printing quality inspection methods rely primarily on manual experience and the measurement of a few parameters, which cannot comprehensively and accurately assess the quality of printed materials.

[0003] Therefore, based on the above problems, the existing technology still needs to be improved. Summary of the Invention

[0004] The purpose of this application is to provide a method, system, device, and storage medium for printing quality inspection, aiming to solve the problem of the inability to comprehensively and accurately assess the quality of printed materials.

[0005] The purpose of this application is to provide a method for printing quality inspection, including: A quality standard model is established based on environmental and material property parameters; Obtain the actual environmental characteristic parameters corresponding to the production of the printed product and the actual material characteristic parameters of the printed product; Input the actual environmental characteristic parameters and the actual material characteristic parameters into the quality standard model, and output the quality standard parameter information table corresponding to the printed product; The printing effect information of the printed product is obtained by a multimodal detection device, and the printing effect information is compared with the quality standard parameter information table to generate a comparison result. The comparison results are displayed, and corresponding problem feedback information is generated.

[0006] By adopting the above technical solutions and establishing a quality standard model based on environmental and material characteristic parameters, the system can comprehensively consider various factors in the printing production process. This makes the quality standards more comprehensive and accurate, facilitating a more precise assessment of printed product quality. The system can adapt to changes under different printing conditions in real time, and the quality standard model can be updated as the environment and materials change, ensuring the accuracy and real-time nature of the assessment. Using multimodal detection equipment allows for a comprehensive and multi-faceted understanding of the characteristics of printed products, improving the comprehensiveness of quality assessment. Problem feedback information can be quickly generated and presented to operators in an intuitive way, enabling them to promptly understand the quality status of printed products and take necessary measures for adjustment and improvement. This helps improve operators' awareness of the printing equipment status and their rapid response to quality issues. The system achieves comprehensive and real-time monitoring of printing quality, and the establishment of the quality standard model makes the system more adaptable and intelligent.

[0007] In one possible implementation of this application, the step of establishing a quality standard model based on environmental characteristic parameters and material characteristic parameters includes: Based on the environmental characteristic parameters and the material characteristic parameters, the printed products of the printing equipment are tested using a multimodal testing device to obtain the test results; Based on the detection results, information on the printing effect of the printing equipment under the corresponding conditions is obtained; The printing effect information is analyzed and integrated to confirm the corresponding quality standard parameter information, and the printing effect information and the quality standard parameter information are associated. The environmental characteristic parameters, material characteristic parameters, printing template data corresponding to the printed product, and quality standard parameter information are transmitted to the computing unit. A quality standard model is established in the calculation unit, which associates environmental characteristic parameters, material characteristic parameters, printing template data corresponding to the printed product, and quality standard parameter information.

[0008] By adopting the above technical solution and establishing a quality standard model based on environmental and material characteristic parameters, the system can comprehensively consider various factors in the printing production process. This makes the quality standards more comprehensive and accurate, facilitating a more precise evaluation of printed product quality. The system can adapt to changes under different printing conditions in real time, and the quality standard model can be updated as the environment and materials change, ensuring the accuracy and real-time nature of the evaluation. The establishment of the quality standard model makes the system more adaptable and intelligent.

[0009] In one possible implementation of this application, the step of acquiring printing effect information of the printed product through a multimodal detection device includes: Obtain the surface printing image and spectral data of the printed product; Based on the surface printing image and the spectral data, the surface printing image is preprocessed. Deep learning algorithms applied to image processing are used to analyze and extract features from images; The analysis and feature extraction results are recorded to generate printing effect information corresponding to the printed product.

[0010] By adopting the above technical solution, the multimodal inspection equipment can simultaneously acquire surface printing images and spectral data of the printed product, providing multifaceted information. This makes the printing effect information more comprehensive, including not only visual image information but also optical spectral data, enabling a more holistic evaluation. Preprocessing facilitates accurate analysis and feature extraction by subsequent deep learning algorithms. Deep learning algorithms can learn complex image features, thus more accurately identifying key information in the printing effect, such as flatness and color accuracy. Through deep learning algorithms, real-time analysis and feature extraction of printing effect information are achieved. This helps to promptly identify printing quality problems and improves the real-time monitoring capability of the production process. Recording the results of analysis and feature extraction provides data support for subsequent quality comparison and problem feedback. The recorded data can be used to generate printing effect information corresponding to the printed product and also helps to establish historical data for trend analysis and quality improvement.

[0011] In one possible implementation of this application, the step of acquiring the printing effect information of the printed product through a multimodal detection device further includes: Real-time acquisition of thermal radiation images of the printed product surface; Based on the thermal radiation image, an analysis and integration process is used to generate a temperature distribution map corresponding to the printed product. The temperature distribution map is processed and analyzed to generate temperature analysis results; The analysis results are recorded to generate printing effect information corresponding to the printed product.

[0012] By employing the above technical solutions, the system acquires real-time thermal radiation images of the printed surface, enabling comprehensive information on temperature distribution. This helps assess temperature changes during the printing process, particularly regarding ink drying. By analyzing and integrating the generated temperature distribution maps, the system can evaluate ink uniformity. Uneven temperature distribution may indicate uneven ink coating, helping to promptly identify potential ink drying problems. Temperature analysis results can be used to monitor ink dryness in real time. By tracking temperature changes, the system can determine whether the ink has reached the appropriate dryness within a specified time, helping to prevent ink drying problems in subsequent processing stages. Timely temperature analysis and recording results facilitate the development of appropriate ink drying control strategies. This allows printing operators to adjust strategies based on actual conditions, improving ink drying quality and reducing production problems. Ultimately, this improves the overall quality of printed materials, reduces the probability of quality issues, and further enhances the efficiency and stability of printing production.

[0013] In one possible implementation of this application, the step of comparing the printing effect information with the quality standard parameter information table to generate a comparison result includes: Obtain the deviation of each corresponding element in the printing effect information and the quality standard parameter information table; Dynamically assign weights to elements corresponding to different printing effects of the finished product based on the printing scenario; The pass rate of the printed product is calculated based on the dynamic weights and the deviation. Obtain the deviation of each element in the quality standard parameter information table within the preset range; Based on the aforementioned deviation reference preset range, it is determined whether the deviation corresponding to each element in the printing effect information is within the aforementioned deviation reference preset range, and a determination result is generated. The comparison result is generated based on the qualification level of the printed product and the judgment result.

[0014] By employing the aforementioned technical solution and comparing printing effect information with quality standard parameter information tables, the system can comprehensively evaluate the quality of printed materials. This includes not only visual effects but also other key parameters, such as ink drying degree, thereby ensuring that printed materials meet quality standards in all aspects. Dynamic weight allocation allows for personalized evaluation of the importance of printing effects based on different printing scenarios. This helps to more flexibly adapt to the quality requirements of different products or production environments, improving the relevance and accuracy of the evaluation. By calculating the pass rate of the printed product, the system can intuitively understand the overall quality level of the printed materials. The pass rate calculation combines the weights and deviations of various quality parameters, providing operators with an intuitive reference indicator. Based on the preset deviation range, the system monitors the deviation of each element in the printing effect information in real time. This helps to promptly identify potential quality problems, enabling operators to take necessary measures for adjustment and improvement.

[0015] In one possible implementation of this application, the step of displaying the comparison results includes: If the deviation corresponding to the element is within the preset range of the deviation reference, then the element is marked as qualified. If the deviation corresponding to the element is not within the preset range of the deviation reference, then the element is marked as unqualified. The pass rate and the comparison results are displayed.

[0016] By adopting the above technical solution and combining pass / fail markings, the system provides an intuitive quality assessment method. Operators can clearly see which elements meet quality standards and which deviate, thus quickly judging the quality status of the printed materials. The display method enables real-time quality monitoring. Operators can promptly understand the deviation between the printing effect and quality standards during the printing process, helping to adjust printing parameters in a timely manner to ensure that the quality is within the acceptable range. By marking pass and fail elements, the system clearly conveys the status of each quality parameter. This helps to quickly locate problems, reduce troubleshooting time, and improve problem-solving efficiency. Displaying the pass / fail rating allows operators to understand the overall pass / fail level of the printed materials on a global scale. This helps to evaluate the overall printing quality, guide subsequent processing steps, and ensure production consistency and quality stability. The displayed results can be recorded and archived, facilitating problem traceability. For quality problems that occur, they can be traced back to specific elements and moments, helping to find the cause of the problem and conduct more in-depth analysis and improvement.

[0017] In one possible implementation of this application, the step of generating corresponding problem feedback information includes: Acquire sound signals generated by various operating components of the printing equipment during the printing process, the sound signals including waveform and spectrum information; Based on the sound signal, extract the corresponding acoustic features; The acoustic features are compared with preset standard features; If the acoustic features are inconsistent with the preset standard features, corresponding problem feedback information will be generated and displayed. If the acoustic features match the preset standard features, a normal operation prompt message will be issued.

[0018] By adopting the above technical solution, the system can monitor the sound characteristics of various operating components during the printing process in real time by acquiring the sound signals generated by the printing equipment. When the acoustic characteristics are inconsistent with the preset standard characteristics, the system can quickly identify and detect potential faults or abnormalities, achieving real-time fault diagnosis of the printing equipment. Extracting the corresponding acoustic characteristics helps to locate the specific location and nature of the problem. Different faults or abnormalities may manifest as different sound characteristics; through accurate extraction and comparison, the system can help operators quickly locate and understand the nature of the problem. When the acoustic characteristics are inconsistent with the preset standard characteristics, the system generates and displays problem feedback information. This helps operators understand the abnormal situation of the printing equipment in a timely manner, making problem handling faster and more efficient. Timely detection and resolution of acoustic abnormalities in printing equipment helps reduce production interruptions and defect rates, thereby improving production efficiency. Operators can quickly take appropriate measures to ensure the smooth operation of the printing process. By monitoring sound signals in real time, the system can provide problem feedback information in the early stages of a problem. This helps to perform timely maintenance, prevent the problem from worsening, and reduce maintenance costs. Comparison based on acoustic characteristics enables automated fault diagnosis. The system can automatically determine whether the sound signal meets the preset standard, thereby realizing automatic monitoring and diagnosis of the operating status.

[0019] The second objective of this application is to provide a printing quality inspection system, which includes: Quality Standard Model Establishment Module: Used to establish a quality standard model based on environmental and material property parameters; Actual parameter acquisition module: used to acquire the actual environmental characteristic parameters corresponding to the production of the printed product and the actual material characteristic parameters of the printed product; Quality standard parameter information table output module: used to input the actual environmental characteristic parameters and the actual material characteristic parameters into the quality standard model, and output the quality standard parameter information table corresponding to the printed product; The comparison result generation module is used to obtain the printing effect information of the printed product through a multimodal detection device, compare the printing effect information with the quality standard parameter information table, and generate comparison results. Problem feedback information display module: used to display the comparison results and generate corresponding problem feedback information.

[0020] By adopting the above technical solution The third objective of this application is to provide a printing quality inspection device, which includes: The memory and processor, wherein the memory stores a computer program that can be loaded by the processor and executed as described above for a print quality inspection method.

[0021] The fourth objective of this application is to provide a storage medium.

[0022] The fourth objective of this application is achieved through the following technical solution: A storage medium storing a computer program capable of being loaded by a processor and executing the aforementioned print quality inspection method.

[0023] In summary, this application includes at least one of the following beneficial technical effects: 1. By establishing a quality standard model based on environmental and material characteristic parameters, the system can comprehensively consider various factors in the printing production process. This makes the quality standards more comprehensive and accurate, facilitating more precise evaluation of printed product quality. The system can adapt to changes under different printing conditions in real time, and the quality standard model can be updated as the environment and materials change, ensuring the accuracy and real-time nature of the evaluation. Employing multimodal detection equipment allows for a comprehensive and multi-faceted understanding of the characteristics of printed products, improving the comprehensiveness of quality assessment. Problem feedback information can be quickly generated and presented to operators in an intuitive way, enabling them to promptly understand the quality status of printed products and take necessary measures for adjustment and improvement. This helps improve operators' awareness of the printing equipment status and their rapid response to quality issues. The system achieves comprehensive and real-time monitoring of printing quality, and the establishment of the quality standard model makes the system more adaptable and intelligent.

[0024] 2. Multimodal inspection equipment can simultaneously acquire surface printing images and spectral data of printed products, providing multifaceted information. This makes the printing effect information more comprehensive, including not only visual image information but also optical spectral data, enabling a more holistic evaluation. Preprocessing facilitates accurate analysis and feature extraction by subsequent deep learning algorithms. Deep learning algorithms can learn complex image features, thus more accurately identifying key information in the printing effect, such as flatness and color accuracy. Through deep learning algorithms, real-time analysis and feature extraction of printing effect information are achieved. This helps to promptly identify printing quality problems and improves the real-time monitoring capability of the production process. The results of analysis and feature extraction are recorded, providing data support for subsequent quality comparison and problem feedback. The recorded data can be used to generate printing effect information corresponding to the printed products and also helps to establish historical data for trend analysis and quality improvement. Attached Figure Description

[0025] Figure 1 This is a flowchart illustrating the *** method provided in the embodiments of this application; Figure 2 This is a schematic diagram of the virtual structure of the *** system provided in the embodiments of this application. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0027] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0028] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0029] This application provides a method for detecting and processing anti-spy camera footage, referring to... Figure 1 The main process of the method is described as follows: S1: Establish a quality standard model based on environmental and material characteristic parameters; Specifically, for specific printing processes and equipment, quality standard models are established through experiments and data analysis. These models include environmental characteristic parameters (such as temperature and humidity) and material characteristic parameters (such as paper type and ink formulation).

[0030] S2: Obtain the actual environmental characteristic parameters corresponding to the production of the printed product and the actual material characteristic parameters of the printed product; In the printing production process, it is preferable to use sensors and monitoring equipment to obtain the actual environmental characteristic parameters of the printing equipment, such as real-time temperature and humidity. By storing paper and ink in the printing equipment, the actual material characteristic parameters are obtained, including paper humidity, thickness or ink viscosity, etc.

[0031] S3: Input the actual environmental characteristic parameters and the actual material characteristic parameters into the quality standard model, and output the quality standard parameter information table corresponding to the printed product; The process involves inputting actual environmental and material characteristics into a pre-established quality standard model to generate a quality standard parameter information table corresponding to the printed product. This table serves as a reference for ensuring the printed product meets acceptable standards. Generated through the quality standard model, which employs advanced deep learning algorithms during data processing, the model automatically learns and optimizes quality standards to adapt to different printing environments and material properties.

[0032] S4: Obtain the printing effect information of the printed product through a multimodal detection device, compare the printing effect information with the quality standard parameter information table, and generate a comparison result; The system utilizes multimodal detection equipment, such as visual perception modules, sound analysis modules, and thermal imaging detection modules, to acquire relevant information about the printed products, including flatness, color accuracy, sound characteristics, and temperature distribution, generating printing effect information. This printing effect information is then compared with a quality standard parameter information table, making it easy to determine whether the quality of the printed products meets the quality standard parameter information table. Finally, a comparison result is generated, which is convenient for the computer to judge and for the operator to understand and adjust in a timely manner, reducing the generation of defective products.

[0033] S5: Display the comparison results and generate corresponding problem feedback information.

[0034] The system compares the actual detected printing quality information with a quality standard parameter information table. It generates comparison results indicating whether the printed material meets the standards. If problems are found, corresponding feedback information is generated and displayed on the user interface along with the comparison results, allowing operators to promptly understand the printing quality situation. Simultaneously, feedback reports can be generated to guide adjustments to printing equipment parameters, thereby improving print quality.

[0035] Specifically, in some possible embodiments, the step of establishing a quality standard model based on environmental characteristic parameters and material characteristic parameters includes: Based on the environmental characteristic parameters and the material characteristic parameters, the printed products of the printing equipment are tested using a multimodal testing device to obtain the test results; Based on the detection results, information on the printing effect of the printing equipment under the corresponding conditions is obtained; The printing effect information is analyzed and integrated to confirm the corresponding quality standard parameter information, and the printing effect information and the quality standard parameter information are associated. The environmental characteristic parameters, material characteristic parameters, printing template data corresponding to the printed product, and quality standard parameter information are transmitted to the computing unit. A quality standard model is established in the calculation unit, which associates environmental characteristic parameters, material characteristic parameters, printing template data corresponding to the printed product, and quality standard parameter information.

[0036] This process utilizes multimodal detection equipment, such as visual perception modules, sound analysis modules, and thermal imaging modules, to perform comprehensive inspection of the printed products from the printing equipment. These devices can acquire various information about the printing effect, including visual, sound, and thermal imaging data. Based on the output of the multimodal detection equipment, inspection results for the printed products are obtained, including information on flatness, color accuracy, sound characteristics, and ink dryness. Based on the inspection results, information on the printing effect under specific environmental and material conditions is obtained, including actual printing quality parameters. The printing effect information is analyzed, and information from different modalities is integrated to confirm corresponding quality standard parameters and establish a correlation between printing effect and quality standards. Environmental characteristic parameters, material characteristic parameters, printing template data corresponding to the printed products, and the confirmed quality standard parameters are transmitted to the computing unit. In the computing unit, the input data is used to build a quality standard model that correlates the environmental characteristic parameters, material characteristic parameters, printing template data corresponding to the printed products, and quality standard parameters. Through this method, printing quality inspection based on multimodal detection equipment is achieved, and the inspection results are correlated with quality standard parameters, establishing a quality standard model adaptable to different environmental and material conditions.

[0037] Specifically, in some possible embodiments, the step of acquiring the printing effect information of the printed product through a multimodal detection device includes: Obtain the surface printing image and spectral data of the printed product; Based on the surface printing image and the spectral data, the surface printing image is preprocessed. Deep learning algorithms applied to image processing are used to analyze and extract features from images; The analysis and feature extraction results are recorded to generate printing effect information corresponding to the printed product.

[0038] This process utilizes high-resolution cameras and spectral sensors to acquire surface printing images and spectral data of the printed products. This data reflects the color, texture, and spectral characteristics of the printed matter. The obtained surface printing images undergo image preprocessing, including noise reduction, contrast enhancement, and color correction, to improve image quality and reduce interference.

[0039] Deep learning algorithms for image processing are applied to analyze and extract features from preprocessed surface-printed images. This may include convolutional neural networks (CNNs) or other deep learning architectures to identify features such as flatness and color accuracy.

[0040] The analysis and feature extraction results of deep learning algorithms are recorded to form printing effect information corresponding to the printed product. This information may include the color value of each pixel, texture features, and flatness assessment. Spectral data is integrated with image processing results to comprehensively consider color and spectral characteristics, improving the accuracy and comprehensiveness of printing effect information. By combining the results of image processing and spectral data, printing effect information corresponding to the printed product is generated, including but not limited to color accuracy, flatness, and gloss.

[0041] Specifically, in some possible embodiments, the step of acquiring the printing effect information of the printed product through a multimodal detection device further includes: Real-time acquisition of thermal radiation images of the printed product surface; Based on the thermal radiation image, an analysis and integration process is used to generate a temperature distribution map corresponding to the printed product. The temperature distribution map is processed and analyzed to generate temperature analysis results; The analysis results are recorded to generate printing effect information corresponding to the printed product.

[0042] This process involves using infrared thermal imagers and other equipment to acquire real-time thermal radiation images of the printed surface. These images reflect the temperature distribution on the printed surface. Based on the real-time acquired thermal radiation images, the images are analyzed and integrated to generate a temperature distribution map corresponding to the printed product. This map can be used to show temperature differences in different areas. The temperature distribution map is processed, including quantitative measurement of temperature values ​​and calculation of temperature gradients. These processes help extract temperature information and assess ink uniformity and drying properties. The results of the temperature distribution map processing and analysis are recorded to form printing effect information corresponding to the printed product. This information can include ink drying properties, temperature anomalies, etc.

[0043] Specifically, in some possible embodiments, the step of comparing the printing effect information with the quality standard parameter information table to generate a comparison result includes: Obtain the deviation of each corresponding element in the printing effect information and the quality standard parameter information table; Dynamically assign weights to elements corresponding to different printing effects of the finished product based on the printing scenario; The pass rate of the printed product is calculated based on the dynamic weights and the deviation. Obtain the deviation of each element in the quality standard parameter information table within the preset range; Based on the aforementioned deviation reference preset range, it is determined whether the deviation corresponding to each element in the printing effect information is within the aforementioned deviation reference preset range, and a determination result is generated. The comparison result is generated based on the qualification level of the printed product and the judgment result.

[0044] The process involves acquiring printing effect information, including color accuracy, flatness, and temperature, from multimodal inspection equipment. The deviations of this effect information from the corresponding elements in the quality standard parameter information table are calculated. Dynamic weights are assigned to each element in the quality standard parameter information table based on the importance of different printing scenarios. For example, temperature may have a higher weight for printing in high-temperature environments. Based on the dynamic weights and deviations, the pass rate of the printed product is calculated. This pass rate reflects the overall quality of the printed product in all aspects. The deviations of each element in the quality standard parameter information table are referenced to a preset range. This range is pre-defined to determine whether the printing effect is within acceptable limits. For each element, its deviation is checked against the preset range. If within the range, it is considered passable; otherwise, it is considered unacceptable. Based on the pass rate of the printed product and the judgment results for each element, a comparison result is generated. This result reflects the overall quality of the printed product and indicates whether each aspect meets the quality standards.

[0045] Specifically, in some possible embodiments, the step of displaying the comparison results includes: If the deviation corresponding to the element is within the preset range of the deviation reference, then the element is marked as qualified. If the deviation corresponding to the element is not within the preset range of the deviation reference, then the element is marked as unqualified. The pass rate and the comparison results are displayed.

[0046] For each element, if its corresponding deviation is within the preset deviation reference range, the element is marked as qualified. A green mark or other qualified indicator can be used. Elements whose deviation is outside the preset deviation reference range are marked as unqualified. This can be done using a red mark or other unqualified indicator. The calculated qualification rate of the printed product is displayed as a numerical or graphical representation. This qualification rate can be expressed as a percentage or other form. All qualified and unqualified marks for all elements are integrated into a comparison result and displayed to the user intuitively. This can be presented using tables, charts, or other graphical formats. For unqualified elements, detailed information is provided, such as the specific deviation value and the preset reference range, to help the user understand in which aspects the printed product fails to meet quality standards.

[0047] Specifically, in some possible embodiments, the step of generating corresponding problem feedback information includes: Acquire sound signals generated by various operating components of the printing equipment during the printing process, the sound signals including waveform and spectrum information; Based on the sound signal, extract the corresponding acoustic features; The acoustic features are compared with preset standard features; If the acoustic features are inconsistent with the preset standard features, corresponding problem feedback information will be generated and displayed. If the acoustic features match the preset standard features, a normal operation prompt message will be issued.

[0048] During the printing process, a high-sensitivity microphone system acquires sound signals, including waveforms and spectral information, generated by various operating components of the printing equipment. These sound signals may contain information related to the operating status of the printing equipment, such as mechanical operating noises and friction noises. Based on the acquired sound signals, a specialized acoustic feature extraction unit extracts corresponding acoustic features. These features may include frequency, amplitude, and spectrum. The extracted acoustic features are compared with preset standard features. The preset standard features may be the feature values ​​of sound signals acquired under normal operating conditions. If the extracted acoustic features do not match the preset standard features, the system determines that an anomaly exists and generates corresponding problem feedback information. This information may include the nature of the problem and possible causes. The generated problem feedback information is displayed to the operator. This can be done through a user interface, display screen, etc., to promptly notify the operator of any problems. If the extracted acoustic features match the preset standard features, the system determines that the operation is normal and can issue a normal operation prompt to inform the operator that everything is normal.

[0049] Another embodiment of this application provides a printing quality inspection system, wherein, see reference Figure 2 A printing quality inspection system, comprising: Quality Standard Model Establishment Module 100: Used to establish a quality standard model based on environmental characteristic parameters and material characteristic parameters; Actual parameter acquisition module 200: used to acquire the actual environmental characteristic parameters corresponding to the production of the printed product and the actual material characteristic parameters of the printed product; Quality standard parameter information table output module 300: used to input the actual environmental characteristic parameters and the actual material characteristic parameters into the quality standard model, and output the quality standard parameter information table corresponding to the printed product; The comparison result generation module 400 is used to obtain the printing effect information of the printed product through a multimodal detection device, compare the printing effect information with the quality standard parameter information table, and generate a comparison result. Problem feedback information display module 500: used to display the comparison results and generate corresponding problem feedback information.

[0050] The printing quality inspection system provided in this embodiment can achieve the steps of the aforementioned embodiments due to the functions of its modules and the logical connections between them. Therefore, it can achieve the same technical effect as the aforementioned embodiments. For the principle analysis, please refer to the relevant description of the steps of the aforementioned printing quality inspection method, which will not be repeated here.

[0051] This application also provides a printing quality inspection device, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as described above for printing quality inspection.

[0052] This application also provides a storage medium storing a computer program that can be loaded by a processor and executed as described above for a printing quality inspection method.

[0053] The storage medium provided in this embodiment can achieve the same technical effect as the aforementioned embodiments because the computer program therein, after being loaded and run on the processor, will implement the various steps of the aforementioned embodiments. For the principle analysis, please refer to the relevant description of the aforementioned method steps, which will not be repeated here.

[0054] The storage medium includes, for example, various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0055] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0056] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0057] Furthermore, features defined by the terms "first" and "second" may explicitly or implicitly include at least one of those features. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., and unless otherwise explicitly specified, is used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features.

[0058] Therefore, any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which embodiments of the invention pertain.

[0059] The embodiments described in this specific implementation are preferred embodiments of this application and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A print quality detection method characterized by, include: A quality standard model is established based on environmental and material property parameters; The specific steps include: based on the environmental characteristic parameters and the material characteristic parameters, detecting the printed products of the printing equipment using a multimodal detection device to obtain detection results; based on the detection results, obtaining printing effect information of the printing equipment under corresponding conditions; analyzing and integrating the printing effect information to confirm the corresponding quality standard parameter information, and associating the printing effect information with the quality standard parameter information; transmitting the environmental characteristic parameters, material characteristic parameters, printing template data corresponding to the printed products, and quality standard parameter information to a calculation unit; and establishing a quality standard model in the calculation unit that associates the environmental characteristic parameters, material characteristic parameters, printing template data corresponding to the printed products, and quality standard parameter information. Obtain the actual environmental characteristic parameters corresponding to the production of the printed product and the actual material characteristic parameters of the printed product; Input the actual environmental characteristic parameters and the actual material characteristic parameters into the quality standard model, and output the quality standard parameter information table corresponding to the printed product; The printing effect information of the printed product is obtained through a multimodal detection device, and the printing effect information is compared with the quality standard parameter information table to generate a comparison result. Specific steps include: acquiring the surface printing image and spectral data of the printed product; performing image preprocessing on the surface printing image based on the surface printing image and the spectral data; analyzing and extracting features from the image using a deep learning algorithm applied to image processing; recording the analysis and feature extraction results to generate printing effect information corresponding to the printed product; Specific steps also include: acquiring a thermal radiation image of the surface of the printed product in real time; analyzing and integrating the thermal radiation image to generate a temperature distribution map corresponding to the printed product; processing and analyzing the temperature distribution map to generate a temperature analysis result; recording the analysis result to generate printing effect information corresponding to the printed product. The steps of comparing the printing effect information with the quality standard parameter information table to generate a comparison result include: obtaining the deviation amount of each corresponding element in the printing effect information and the quality standard parameter information table; dynamically assigning weights to the elements corresponding to different printing effects of the printed product according to the printing scenario; calculating the pass rate of the printed product based on the dynamic weights and the deviation amount; obtaining a reference preset range for the deviation amount of each element in the quality standard parameter information table; determining whether the deviation amount corresponding to each element in the printing effect information is within the reference preset range based on the deviation amount reference preset range, and generating a judgment result; and generating the comparison result based on the pass rate of the printed product and the judgment result. The comparison results are displayed, and corresponding problem feedback information is generated. Specific steps include: if the deviation of the element is within the preset deviation reference range, the element is marked as qualified; if the deviation of the element is not within the preset deviation reference range, the element is marked as unqualified; the qualification level and the comparison results are displayed; sound signals generated by various operating components of the printing equipment during the printing process are acquired, the sound signals including waveform and spectrum information; based on the sound signals, corresponding acoustic features are extracted; the acoustic features are compared with preset standard features; if the acoustic features and preset standard features are inconsistent, corresponding problem feedback information is generated and displayed; if the acoustic features and preset standard features are consistent, a normal operation prompt is issued.

2. A print quality detection system characterized by, include: Quality standard model establishment module: Establishes a quality standard model based on environmental characteristic parameters and material characteristic parameters; The specific steps include: based on the environmental characteristic parameters and the material characteristic parameters, detecting the printed products of the printing equipment using a multimodal detection device to obtain detection results; based on the detection results, obtaining printing effect information of the printing equipment under corresponding conditions; analyzing and integrating the printing effect information to confirm the corresponding quality standard parameter information, and associating the printing effect information with the quality standard parameter information; transmitting the environmental characteristic parameters, material characteristic parameters, printing template data corresponding to the printed products, and quality standard parameter information to a calculation unit; and establishing a quality standard model in the calculation unit that associates the environmental characteristic parameters, material characteristic parameters, printing template data corresponding to the printed products, and quality standard parameter information. Actual parameter acquisition module: used to acquire the actual environmental characteristic parameters corresponding to the production of the printed product and the actual material characteristic parameters of the printed product; Quality standard parameter information table output module: used to input the actual environmental characteristic parameters and the actual material characteristic parameters into the quality standard model, and output the quality standard parameter information table corresponding to the printed product; The comparison result generation module acquires printing effect information of the printed product through a multimodal detection device, compares the printing effect information with the quality standard parameter information table, and generates a comparison result. Specific steps include: acquiring surface printing images and spectral data of the printed product; performing image preprocessing on the surface printing image based on the surface printing image and the spectral data; analyzing and extracting features from the image using a deep learning algorithm applied to image processing; recording the analysis and feature extraction results to generate printing effect information corresponding to the printed product. Specific steps also include: acquiring a real-time thermal radiation image of the printed product surface; analyzing and integrating the thermal radiation image to generate a temperature distribution map corresponding to the printed product; processing and analyzing the temperature distribution map to generate a temperature analysis result; and then... The steps of recording the analysis results and generating printing effect information corresponding to the printed product, and comparing the printing effect information with the quality standard parameter information table to generate a comparison result include: obtaining the deviation amount of each corresponding element in the printing effect information and the quality standard parameter information table; dynamically assigning weights to the elements corresponding to different printing effects of the printed product according to the printing scenario; calculating the pass rate of the printed product based on the dynamic weights and the deviation amount; obtaining the reference preset range of the deviation amount for each element in the quality standard parameter information table; determining whether the deviation amount corresponding to each element in the printing effect information is within the reference preset range based on the deviation amount reference preset range, and generating a judgment result; and generating the comparison result based on the pass rate of the printed product and the judgment result. Problem Feedback Information Display Module: Displays the comparison results and generates corresponding problem feedback information; specific steps include: if the deviation corresponding to the element is within the preset deviation reference range, the element is marked as qualified; if the deviation corresponding to the element is not within the preset deviation reference range, the element is marked as unqualified; displays the qualification level and the comparison results; acquires the sound signals generated by each operating component of the printing equipment during the printing process, the sound signals including waveform and spectrum information; extracts the corresponding acoustic features based on the sound signals; compares the acoustic features with preset standard features; if the acoustic features and preset standard features are inconsistent, generates corresponding problem feedback information and displays it; if the acoustic features and preset standard features are consistent, issues a normal operation prompt message.

3. A print quality inspection apparatus characterized by comprising: include: The memory and processor, wherein the memory stores a computer program that can be loaded by the processor and executed as described in claim 1.

4. A storage medium, characterized by The computer program is stored and can be loaded by a processor and executed as described in claim 1.

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