Color box printing system based on dual induction

Abstract

The invention provides a color box printing system based on dual induction, and belongs to the technical field of color box printing. Comprising an optical sensing module which is used for collecting optical information of a printing pattern and monitoring the printing quality in real time; the optical sensing module internally comprises a high-resolution color camera, a spectrum analyzer and an image acquisition card, the high-resolution color camera is used for shooting a printed pattern to obtain pattern detail information, and the spectrum analyzer is used for analyzing spectrum information of the printed pattern to detect color related indexes; and the image acquisition card is used for transmitting image data shot by the high-resolution color camera and spectral data analyzed by the spectrum analyzer. Through cooperation of all structures in the optical sensing module, the pressure sensing module and other modules, real-time collection and monitoring of printing pattern optical information are achieved, and the purpose of guaranteeing the printing quality is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of color box printing, and in particular to a color box printing system based on dual induction. Background Art

[0002] As an important form of product packaging, color boxes are widely used in many industries, including food, cosmetics, and electronics. As market competition becomes increasingly fierce, consumers have higher and higher requirements for the quality of color boxes. They not only pay attention to the appearance design and color matching of color boxes, but also have strict standards for the fineness of printing quality.

[0003] However, traditional methods for inspecting color box printing quality currently rely primarily on manual spot checks. This method requires inspectors to rely on their eyes and experience to judge the printing quality of color boxes. Because manual spot checks cannot cover all products, they are inefficient and prone to missed inspections. Furthermore, subjective judgment criteria vary among inspectors, making accurate assessments of minor printing defects difficult. This not only impacts the overall quality of color boxes but also increases production costs and quality risks for companies. Summary of the Invention

[0004] The purpose of the present invention is to provide a color box printing system based on dual sensing to solve the shortcomings of the background technology.

[0005] Technical solution: To achieve the above objectives, the present invention is implemented through the following technical solution: a color box printing system based on dual sensing, comprising: an optical sensing module, the optical sensing module is used to collect optical information of the printed pattern and monitor the printing quality in real time; the optical sensing module includes a high-resolution color camera, a spectrum analyzer and an image acquisition card, the high-resolution color camera is used to photograph the printed pattern to obtain pattern detail information, the spectrum analyzer is used to analyze the spectral information of the printed pattern to detect color-related indicators, and the image acquisition card is used to transmit image data captured by the high-resolution color camera and spectral data analyzed by the spectrum analyzer, wherein the high-resolution color camera is installed directly above the printed matter transmission channel, perpendicular to the printed matter surface, and at the output end of the printing unit, and is at the first position that can be clearly photographed after printing is completed; the spectrum analyzer is installed on the side of the high-resolution color camera away from the printing unit, and its detection probe is at the same horizontal height as the camera lens to ensure that the pattern in the same area is detected; the image acquisition card is connected to the high-resolution color camera and the spectrum analyzer via a high-speed data transmission line.

[0006] In a further embodiment, pressure sensing modules are installed on the printing cylinder, printing section, and ink delivery tube. These modules monitor stress changes during operation in these areas and determine their operating status. The pressure sensing modules utilize strain gauge stress sensors. On the printing cylinder, the sensors are installed at the journals at each end; in the printing section, the sensors are installed at the contact point between the pressure-applying component and the printing platform; and on the ink delivery tube, the sensors are installed at bends and joints to accurately monitor changes in stress concentration areas.

[0007] In a further embodiment, the data processing and analysis module is connected to the optical sensing module and the pressure sensing module, and is used to receive and process the collected data, and generate a printing quality assessment report and an equipment operation status assessment report through a preset algorithm. The data processing and analysis module adopts a dedicated industrial-grade data processing chip and a supporting software algorithm; it transmits data with the optical sensing module and the pressure sensing module through a wired network to ensure the real-time and stability of the data; the preset algorithms include rule-based judgment algorithms and machine learning-based analysis algorithms to adapt to different types of data and complex printing scenarios.

[0008] In a further embodiment, the intelligent control module is connected to the data processing and analysis module, and automatically adjusts the parameters of the printing equipment according to the report generated by the data processing and analysis module to ensure the printing quality and normal operation of the equipment. The intelligent control module is connected to the various actuators of the printing equipment through a programmable logic controller (PLC); it can adjust the rules and priorities according to preset parameters, and accurately control key parameters such as printing speed, ink flow, and printing pressure; at the same time, the intelligent control module also has fault diagnosis and emergency processing functions, and when serious abnormal situations occur, it can quickly take measures to protect the safety of equipment and personnel.

[0009] In a further embodiment, a user interaction terminal is connected to an optical sensing module, a pressure sensing module, a data processing and analysis module, and an intelligent control module. The user interaction terminal is used for users to input printing task instructions, receive printing status information fed back by the system, and realize interactive operations between users and the printing system. The user interaction terminal adopts a touch screen display and is installed on the operation panel of the printing equipment; it supports a graphical operation interface, and users can input tasks and query information through intuitive icons and menus; at the same time, the user interaction terminal also has a remote communication function, and users can remotely access and control the printing system through terminal devices such as mobile phones or computers.

[0010] In a further embodiment, the data processing and analysis module uses a deep learning algorithm to analyze printing quality data and equipment stress data. In terms of printing quality analysis, the type and degree of printing defects are identified by comparing a large number of standard printing pattern samples; in terms of equipment operation status analysis, an equipment stress model is established to predict the risk of equipment failure, wherein the deep learning algorithm uses a convolutional neural network (CNN) for printing quality analysis, and establishes an accurate defect recognition model by training a large number of standard printing pattern samples; in terms of equipment operation status analysis, a recurrent neural network (RNN) is used to establish an equipment stress model, taking into account the time series characteristics of stress data to improve the accuracy of fault prediction; at the same time, the deep learning algorithm will regularly update and optimize the model to adapt to different printing tasks and equipment status changes.

[0011] In a further embodiment, the optical information and equipment stress information during the printing process are collected in real time through the optical sensing module and the pressure sensing module; the collected information is transmitted to the data processing and analysis module for processing and analysis to generate a printing quality evaluation report and an equipment operation status evaluation report; the intelligent control module automatically adjusts the parameters of the printing equipment according to the evaluation report to ensure the printing quality and normal operation of the equipment; the user inputs the printing task instructions through the user interaction terminal and receives the printing status information fed back by the system, wherein during the information collection process, the optical sensing module and the pressure sensing module work according to a pre-set synchronization mechanism to ensure that the collected optical information and equipment stress information are consistent in time; after receiving the information, the data processing and analysis module operates according to a strict processing flow, including data classification, feature extraction and other steps to ensure the accuracy of the evaluation report; when adjusting the parameters, the intelligent control module follows certain safety limits and adjustment ranges to avoid equipment damage or deterioration of printing quality due to excessive adjustment.

[0012] In a further embodiment, in the information collection step, the optical sensing module collects pattern information at fixed time intervals or printing quantity intervals, and the pressure sensing module collects equipment stress data in real time and continuously to ensure that comprehensive and timely printing process information is obtained. The time interval collection mode of the optical sensing module can be flexibly adjusted according to different printing tasks and quality requirements, and the printing quantity interval collection mode is set according to the batch and specifications of the printed product; the pressure sensing module adopts a high-precision real-time data acquisition circuit to ensure that the data collection frequency can meet the real-time monitoring requirements of equipment stress changes; at the same time, in order to ensure the reliability of the data, both modules have data verification and error correction functions.

[0013] In a further embodiment, in the data processing and analysis steps, the data processing and analysis module pre-processes the collected data, including data filtering, denoising, normalization and other operations, to improve the accuracy and reliability of the data and provide high-quality data for subsequent deep learning algorithm analysis. The data filtering uses a low-pass filter to remove high-frequency noise interference; the denoising operation uses a wavelet denoising algorithm to effectively remove random noise; the normalization operation uniformly maps the data to a specific range, making different types of data comparable; at the same time, the data preprocessing process will record detailed processing logs to facilitate subsequent data analysis and problem troubleshooting.

[0014] In a further embodiment, in the step of adjusting parameters by the intelligent control module, the intelligent control module adjusts parameters according to the priorities of the printing quality evaluation report and the equipment operation status evaluation report. When problems occur at the same time in the printing quality and the equipment operation status, the problems with a greater impact on the printing quality are dealt with first to ensure the quality of the printed products. When the equipment operation status is seriously abnormal and may cause damage to the equipment, the printing process is stopped immediately to ensure the safety of the equipment. Detailed priority judgment rules are set inside the intelligent control module, and the problems are sorted according to the severity of the printing quality problem and the potential risk level of the equipment failure. When parameters need to be adjusted, they will be processed in order of priority. At the same time, the intelligent control module also has an emergency response plan. When a serious abnormality is detected in the equipment operation status, a stop command can be issued in a very short time, and corresponding protective measures can be taken, such as cutting off the power supply and releasing the pressure.

[0015] In summary, this application includes at least one of the following beneficial technical effects:

[0016] 1. The optical sensing module monitors the optical information of the printed pattern in real time. A high-resolution color camera captures pattern details, and a spectrum analyzer measures color indicators. These modules can accurately detect minor printing defects such as color deviation, blurred patterns, and misregistering. This is more efficient and accurate than manual spot checks, significantly reducing scrap rates. The data processing and analysis module uses a deep learning algorithm to compare with standard samples to identify the type and severity of printing defects, providing an accurate basis for the intelligent control module to adjust printing parameters and ensure stable printing quality.

[0017] 2. The pressure sensing module monitors stress changes in the printing cylinder, printing unit, and ink delivery tube, and promptly detects potential fault hazards such as component wear and abnormal pressure. By establishing an equipment stress model to predict failure risks, it makes equipment maintenance more preventive, reduces sudden failures, reduces maintenance costs and downtime, and ensures production continuity.

[0018] 3. The intelligent control module automatically adjusts printing equipment parameters such as printing pressure, ink flow, and printing speed based on the evaluation report, eliminating the need for frequent manual adjustments. This saves time, reduces printing interruptions and waste caused by improper parameter adjustments, and improves production efficiency. The user interaction terminal supports remote operation, allowing users to monitor and control the printing system anytime, anywhere, and promptly address issues, further improving production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0020] Figure 1 Flow chart of the method of the present invention.

[0021] Figure 2 This is a system block diagram of the present invention.

[0022] Figure 3 It is a structural schematic diagram of the present invention.

[0023] The reference numerals in the figure are: 1. optical sensing module; 101. high-resolution color camera; 102. spectrum analyzer; 103. image acquisition card; 2. printing unit; 3. ink delivery tube; 4. pressure sensing module; 5. user interaction terminal; 6. data processing and analysis module; 7. intelligent control module. DETAILED DESCRIPTION

[0024] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0025] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0026] Reference Figure 1-3A color box printing system based on dual sensing includes: an optical sensing module 1, which is used to collect optical information of the printed pattern and monitor the printing quality in real time; the optical sensing module 1 includes a high-resolution color camera 101, a spectrum analyzer 102 and an image acquisition card 103, the high-resolution color camera 101 is used to photograph the printed pattern to obtain pattern detail information, the spectrum analyzer 102 is used to analyze the spectral information of the printed pattern to detect color-related indicators, and the image acquisition card 103 is used to transmit image data captured by the high-resolution color camera 101 and spectral data analyzed by the spectrum analyzer 102.

[0027] It realizes the real-time collection of optical information of printed patterns and real-time monitoring of printing quality; the high-resolution color camera 101 accurately obtains pattern details, the spectrum analyzer 102 deeply detects color-related indicators, and the image acquisition card 103 efficiently transmits data, providing an accurate and rich data basis for subsequent comprehensive evaluation of printing quality, and can promptly discover printing problems such as color deviation and pattern incompleteness.

[0028] The pressure sensing module 4 is installed on the printing roller, the printing part 2 and the ink delivery tube 3. The pressure sensing module 4 is used to monitor the stress changes of the printing roller, the printing part 2 and the ink delivery tube 3 during operation and determine their operating status.

[0029] Real-time monitoring of the operating status of key printing components is achieved; by installing a pressure sensing module 4 on the printing roller, the printing section 2 and the ink delivery tube 3, the stress changes of these components during operation are captured in real time, and potential fault hazards such as component wear and abnormal pressure can be discovered in advance, providing protection for the stable operation of the equipment.

[0030] The data processing and analysis module 6 is connected to the optical sensing module 1 and the pressure sensing module 4, and is used to receive and process the collected data, and generate a printing quality evaluation report and an equipment operation status evaluation report through a preset algorithm.

[0031] It realizes the effect of processing and analyzing the collected data and generating a professional evaluation report; the data processing and analysis module 6 receives the data from the optical sensing module 1 and the pressure sensing module 4, uses the preset algorithm to deeply mine the data, and generates a printing quality evaluation report and an equipment operation status evaluation report, providing a scientific basis for subsequent intelligent control.

[0032] The intelligent control module 7 is connected to the data processing and analysis module 6, and automatically adjusts the parameters of the printing equipment according to the report generated by the data processing and analysis module 6 to ensure the printing quality and normal operation of the equipment.

[0033] It realizes the effect of automatic adjustment of printing equipment parameters and guarantee of printing quality and equipment operation stability; the intelligent control module 7 automatically and accurately adjusts the parameters of the printing equipment according to the report generated by the data processing and analysis module 6, avoiding the lag and inaccuracy of manual adjustment, and ensuring stable quality and normal operation of the equipment during the printing process.

[0034] The user interaction terminal 5 is connected to the optical sensing module 1, the pressure sensing module 4, the data processing and analysis module 6 and the intelligent control module 7. The user interaction terminal 5 is used for the user to input printing task instructions, receive printing status information feedback from the system, and realize interactive operations between the user and the printing system.

[0035] The user interaction terminal 5 connects various modules, allowing users to easily input printing task instructions and receive timely feedback on printing status information from the system, allowing users to grasp the printing progress, quality indicators and equipment status in real time, facilitating decision-making and management.

[0036] The data processing and analysis module 6 uses a deep learning algorithm to analyze printing quality data and equipment stress data. In terms of printing quality analysis, the type and degree of printing defects are identified by comparing a large number of standard printing pattern samples; in terms of equipment operation status analysis, an equipment stress model is established to predict the risk of equipment failure.

[0037] It achieves accurate analysis and prediction of printing quality and equipment operating status; the data processing and analysis module 6 adopts a deep learning algorithm to accurately identify the type and degree of defects by comparing with standard samples in printing quality analysis, and establishes a stress model to predict failure risks in equipment operating status analysis, thereby improving the accuracy and reliability of quality assessment and fault warning.

[0038] The optical information and equipment stress information during the printing process are collected in real time through the optical sensing module 1 and the pressure sensing module 4; the collected information is transmitted to the data processing and analysis module 6 for processing and analysis to generate a printing quality evaluation report and an equipment operation status evaluation report; the intelligent control module 7 automatically adjusts the parameters of the printing equipment according to the evaluation report to ensure printing quality and normal operation of the equipment; the user inputs the printing task instructions through the user interaction terminal 5 and receives the printing status information fed back by the system.

[0039] The whole process of printing is automated and coordinated, with real-time information collection from the optical sensing module 1 and the pressure sensing module 4, report generation by the data processing and analysis module 6, and parameter adjustment by the intelligent control module 7. Finally, users participate through the interactive terminal, and all links work closely together to ensure printing quality and the normal operation of the equipment, thereby improving production efficiency.

[0040] In the information collection step, the optical sensing module 1 collects pattern information at fixed time intervals or printing quantity intervals, and the pressure sensing module 4 collects equipment stress data in real time and continuously to ensure that comprehensive and timely printing process information is obtained.

[0041] The system achieves the effect of obtaining comprehensive and timely information on the printing process; the optical sensing module 1 collects pattern information at appropriate intervals, and the pressure sensing module 4 continuously collects stress data in real time, ensuring that the system can grasp various changes in the printing process and provide comprehensive and timely data support for subsequent analysis and decision-making.

[0042] In the data processing and analysis step, the data processing and analysis module 6 preprocesses the collected data, including data filtering, denoising, normalization and other operations, to improve the accuracy and reliability of the data and provide high-quality data for subsequent deep learning algorithm analysis.

[0043] The effect of improving data quality to support accurate analysis is achieved; the data processing and analysis module 6 pre-processes the collected data, removes interference and noise in the data through operations such as filtering, denoising, and normalization, making the data more accurate and reliable, providing a high-quality data foundation for the analysis of deep learning algorithms, and improving the accuracy of analysis results.

[0044] In the step of adjusting parameters by the intelligent control module 7, the intelligent control module 7 adjusts the parameters according to the priority of the printing quality evaluation report and the equipment operation status evaluation report. When problems occur at the same time in the printing quality and the equipment operation status, the problem with a greater impact on the printing quality is dealt with first to ensure the quality of the printed products. When the equipment operation status is seriously abnormal and may cause damage to the equipment, the printing process is stopped immediately to ensure the safety of the equipment.

[0045] It achieves the effect of reasonably adjusting parameters in different situations to ensure printing quality and equipment safety; the intelligent control module 7 adjusts parameters according to the priority of the evaluation report, and gives priority to ensuring printing quality when problems occur simultaneously with printing quality and equipment operating status; when the equipment faces the risk of serious damage, the printing process is stopped immediately, effectively protecting the equipment and product quality.

[0046] During use, the optical sensing module 1 starts working, and the high-resolution color camera 101 inside it captures the printed pattern to obtain pattern detail information, the spectrum analyzer 102 analyzes the spectral information of the printed pattern to detect color-related indicators, and the image acquisition card 103 transmits the image data captured by the high-resolution color camera 101 and the spectral data analyzed by the spectrum analyzer 102; at the same time, the pressure sensing module 4 installed on the printing roller, the printing part 2 and the ink delivery tube 3 monitors the stress changes of these components during operation in real time to determine their operating status; the optical sensing module 1 collects pattern information at fixed time intervals or printing quantity intervals, and the pressure sensing module 4 collects equipment stress data in real time and continuously to ensure that comprehensive and timely printing process information is obtained; the collected optical information of the printed pattern and the equipment stress information are transmitted to the data processing and analysis module 6, which first pre-processes the collected data, including data filtering, denoising, normalization and other operations to improve the accuracy and reliability of the data; Afterwards, a deep learning algorithm is used to analyze the printing quality data and equipment stress data. In terms of printing quality analysis, the type and degree of printing defects are identified by comparing a large number of standard printing pattern samples; in terms of equipment operation status analysis, an equipment stress model is established to predict the risk of equipment failure, and finally a printing quality assessment report and an equipment operation status assessment report are generated through a preset algorithm; the intelligent control module 7 is connected to the data processing and analysis module 6, and automatically adjusts the parameters of the printing equipment according to the generated report. When problems occur in both the printing quality and the equipment operation status, priority is given to problems that have a greater impact on the printing quality to ensure the quality of the printed products; when the equipment operation status is seriously abnormal and may cause damage to the equipment, the printing process is stopped immediately to ensure the safety of the equipment; in this process, the user inputs printing task instructions through the user interaction terminal 5 connected to the optical sensing module 1, the pressure sensing module 4, the data processing and analysis module 6 and the intelligent control module 7, and receives the printing status information fed back by the system to realize interactive operation with the printing system.

[0047] The figures shown in the accompanying drawings are example figures, and their purpose is only to more intuitively demonstrate the key structure and connection relationship of the color box printing system based on dual sensing of the present invention; in actual application, the appearance and size of the device can be adjusted and optimized according to specific needs.

[0048] The present invention encompasses any alternatives, modifications, equivalents, and solutions that fall within the spirit and scope of the present invention. While specific details are described in detail in the preferred embodiments of the present invention to provide a thorough understanding of the present invention, those skilled in the art will be able to fully understand the present invention without these detailed descriptions. Furthermore, to avoid unnecessary confusion regarding the essence of the present invention, well-known methods, processes, procedures, components, and circuits have not been described in detail.

[0049] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A color box printing system based on dual induction, characterized in that: include: An optical sensing module (1), the optical sensing module (1) is used to collect optical information of a printed pattern and monitor the printing quality in real time; The optical sensing module (1) comprises a high-resolution color camera (101), a spectrum analyzer (102) and an image acquisition card (103); the high-resolution color camera (101) is used to photograph a printed pattern to obtain pattern detail information; the spectrum analyzer (102) is used to analyze the spectrum information of the printed pattern to detect color-related indicators; and the image acquisition card (103) is used to transmit image data photographed by the high-resolution color camera (101) and spectrum data analyzed by the spectrum analyzer (102).

2. A color box printing system based on dual induction according to claim 1, characterized in that: Also includes: A pressure sensing module (4) is installed on the printing roller, the printing part (2) and the ink delivery tube (3). The pressure sensing module (4) is used to monitor stress changes of the printing roller, the printing part (2) and the ink delivery tube (3) during operation and to judge their operating status.

3. The color box printing system based on dual induction according to claim 2, characterized in that: Also includes: The data processing and analysis module (6) is connected to the optical sensing module (1) and the pressure sensing module (4), and is used to receive and process the collected data, and generate a printing quality evaluation report and an equipment operation status evaluation report through a preset algorithm.

4. The color box printing system based on dual induction according to claim 3, characterized in that: Also includes: The intelligent control module (7) is connected to the data processing and analysis module (6) and automatically adjusts the parameters of the printing equipment according to the report generated by the data processing and analysis module (6) to ensure the printing quality and normal operation of the equipment.

5. The color box printing system based on dual induction according to claim 4, characterized in that: Also includes: The user interaction terminal (5) is connected to the optical sensing module (1), the pressure sensing module (4), the data processing and analysis module (6), and the intelligent control module (7). The user interaction terminal (5) is used for the user to input printing task instructions and receive printing status information fed back by the system, thereby realizing interactive operations between the user and the printing system.

6. The color box printing system based on dual induction according to claim 4, characterized in that: The data processing and analysis module (6) uses a deep learning algorithm to analyze the printing quality data and the equipment stress data. In terms of printing quality analysis, the type and degree of printing defects are identified by comparing a large number of standard printing pattern samples; In terms of equipment operating status analysis, an equipment stress model is established to predict equipment failure risks.

7. A color box printing method based on dual induction, characterized in that: The following steps are involved: Optical information and device stress information during the printing process are collected in real time through an optical sensing module (1) and a pressure sensing module (4); The collected information is transmitted to a data processing and analysis module (6) for processing and analysis, and a printing quality evaluation report and an equipment operation status evaluation report are generated; The intelligent control module (7) automatically adjusts the parameters of the printing equipment according to the evaluation report to ensure the printing quality and normal operation of the equipment; The user inputs a printing task instruction through the user interaction terminal (5) and receives printing status information fed back by the system.

8. The color box printing method based on dual induction according to claim 7, characterized in that: In the information collection step, the optical sensing module (1) collects pattern information at fixed time intervals or printing quantity intervals, and the pressure sensing module (4) collects equipment stress data in real time and continuously, ensuring that comprehensive and timely printing process information is obtained.

9. The color box printing method based on dual induction according to claim 7, characterized in that: In the data processing and analysis step, the data processing and analysis module (6) pre-processes the collected data, including data filtering, denoising, normalization and other operations, to improve the accuracy and reliability of the data and provide high-quality data for subsequent deep learning algorithm analysis.

10. The color box printing method based on dual induction according to claim 7, characterized in that: In the step of adjusting parameters by the intelligent control module (7), the intelligent control module (7) adjusts the parameters according to the priorities of the printing quality evaluation report and the equipment operation status evaluation report. When problems occur simultaneously with the printing quality and the equipment operation status, the problem with the greater impact on the printing quality is dealt with first to ensure the quality of the printed product. When the equipment operation status is seriously abnormal and may cause damage to the equipment, the printing process is stopped immediately to ensure the safety of the equipment.

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