Intelligent control optimization method and system for packaging and printing production

Abstract

The invention relates to the technical field of printing production, and discloses an intelligent control optimization method and system for packaging and printing production, and the method comprises the steps: detecting packaging raw material data information, environment data information and printing equipment data information during printing production; packaging raw material data information obtained through detection is bound with corresponding packaging raw materials through RFID tags, the ink supply amount, the printing pressure and the drying power are calculated in combination with environment data information detected in real time and equipment vibration data information, printing control is carried out, and working data of the ink supply amount, the printing pressure and the drying power are displayed in real time; multi-dimensional real-time monitoring is carried out on packaging raw materials, the environment and the equipment state, raw material data and the production process are bound with the help of an RFID tag, whole-process traceability from the raw materials to finished products is achieved, ink supply, pressure and drying are dynamically adjusted according to real-time data, the influence of human subjective experience judgment is reduced, the objectivity and accuracy of control are improved, and the production efficiency is improved. The printing quality is improved.

Description

Technical Field

[0001] This invention relates to the field of printing production technology, and more specifically to an intelligent control and optimization method and system for packaging printing production. Background Technology

[0002] As a key link between modern manufacturing and the consumer goods industry, the packaging and printing industry is undergoing a profound transformation from traditional processing to efficient, precise, and flexible manufacturing. Currently, market demand is characterized by small batches, diverse varieties, personalization, and short lead times. This poses unprecedented challenges to the responsiveness, quality control, and cost control capabilities of production systems. Traditional packaging and printing production relies heavily on manual experience for equipment adjustment and process control, which presents the following problems: When collecting data before control, the data collection is incomplete. In traditional production, the monitoring of the characteristics of printing raw materials, environmental conditions and equipment operating status is often scattered and discontinuous. The data is difficult to integrate and analyze in real time, which leads to the reliance on subjective experience in setting process parameters and makes it difficult to achieve precise control. Key parameters in the printing process, such as ink supply, printing pressure, and drying power, are usually set according to fixed standards or manual judgment. They cannot be dynamically adjusted according to changes in raw materials, environmental fluctuations, and equipment status, resulting in low production efficiency and unstable quality. Traditional production methods make it difficult to accurately bind and record each batch of raw materials and its corresponding process parameters. When quality problems occur, it is impossible to quickly locate the cause, and it is also not conducive to the accumulation and optimization of process data. Summary of the Invention

[0003] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present invention provide an intelligent control optimization method and system for packaging printing production to solve the technical problems mentioned in the background art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: an intelligent control and optimization method for packaging printing production, comprising the following steps: Step S1: Detect the data information of packaging raw materials, environmental data, and printing equipment during the printing production process; Step S2: Bind the detected packaging material data information to the corresponding packaging material using RFID tags; Step S3: Scan the RFID tag to obtain packaging material data information, and combine it with real-time environmental data information and equipment vibration data information to calculate ink supply, printing pressure and drying power; Step S4: Printing control is performed using the calculated ink supply, printing pressure, and drying power. Step S5: Display the working data of ink supply, printing pressure, and drying power in real time, and upload the working data to the cloud for storage.

[0005] An intelligent control and optimization system for packaging and printing production includes a detection unit, an identification unit, a control unit, an ink supply unit, a pressure unit, a drying unit, a display unit, and a history unit. The detection unit is used for detecting packaging raw materials, the environment, and equipment. The identification unit is used for adding RFID tags. The control unit is used for controlling the ink supply unit, the pressure unit, and the drying unit. The ink supply unit is used for adjusting ink supply. The pressure unit is used for adjusting printing pressure. The drying unit is used for adjusting drying power. The display unit is used for displaying data. The history unit is used for storing working data.

[0006] In a preferred embodiment, the detection unit detects packaging material data, environmental data, and printing equipment data. The packaging material data includes packaging thickness data (HD), packaging surface roughness data (CC), and packaging material material data. The environmental data includes temperature data (WD) and humidity data (SD). The printing equipment data is the equipment vibration speed data (ZD). The detection unit sends the packaging material data and the packaging material itself to the identification unit. The detection unit also sends the detected environmental data and printing equipment data to the ink supply unit, the pressure unit, and the drying unit.

[0007] In a preferred embodiment, the identification unit receives data information detected by the detection unit and packaging materials, and binds the detected data information and packaging materials. The identification unit binds the packaging materials by assigning an RFID tag to the packaging materials. The RFID tag contains the data information of the packaging materials detected by the detection unit. After adding the RFID tag, the identification unit sends the packaging materials to the control unit. After scanning the RFID tag, the control unit controls the ink supply unit, pressure unit and drying unit to work.

[0008] In a preferred embodiment, the ink supply unit receives data sent by the detection unit and the control unit and calculates the ink supply volume GM. The ink supply volume calculation formula is as follows: In the formula, BG is the ink supply required under standard working conditions, k1 is the adjustment coefficient of temperature and ink supply, k2 is the adjustment coefficient of roughness and ink supply, k3 is the adjustment coefficient of vibration and ink supply, BW is the standard working temperature, BC is the standard packaging roughness, and BZ is the standard vibration speed. The ink supply unit controls the current ink supply of the printing equipment with the ink supply GM.

[0009] In a preferred embodiment, the pressure unit receives data sent by the detection unit and the control unit and calculates the pressure value YL. The formula for calculating the pressure value YL is as follows: In the formula, BY is the packaging printing pressure under standard working conditions, m1 is the adjustment coefficient between packaging thickness and printing pressure, m2 is the adjustment coefficient between packaging surface roughness and printing pressure, m3 is the adjustment coefficient between ambient humidity and printing pressure, BH is the standard packaging thickness, BC is the standard packaging roughness, and BS is the standard ambient humidity. The pressure unit controls the working pressure during printing with the calculated pressure value YL.

[0010] In a preferred embodiment, the drying unit detects the data sent by the unit and the control unit and classifies the packaging materials into three categories: the first category is absorbent materials, the second category is non-absorbent materials, and the third category is heat-sensitive materials. The drying unit dries the absorbent materials using infrared preheating and medium-temperature hot air, dries the heat-sensitive materials using a high-temperature oven and UV lamp irradiation, and dries the heat-sensitive materials using a high-volume low-temperature drying method.

[0011] In a preferred embodiment, the drying unit controls the three types of materials with a first power P1, a second power P2, and a third power P3, respectively. The formula for calculating the first power P1 is as follows: The formula for calculating the second power P2 is as follows: And the formula for calculating the third power P3 is: In the formula, B1 is the drying power under standard working conditions for absorbent materials, B2 is the drying power under standard working conditions for non-absorbent materials, B3 is the drying power under standard working conditions for thermosensitive materials, x1, x2 and x3 are the correlation coefficients between temperature and drying power for the three types of materials, and y1, y2 and y3 are the correlation coefficients between humidity and drying power for the three types of materials. The drying unit controls the printing drying operation with the first power P1, the second power P2 and the third power P3.

[0012] In a preferred embodiment, the display unit is used to display data in the ink supply unit, pressure unit, and drying unit. The display unit enables human-computer interaction via a smart terminal. The administrator can manually adjust the data of the ink supply unit, pressure unit, and drying unit during operation via the smart terminal. After manual adjustment, the ink supply unit, pressure unit, and drying unit adjust their corresponding operating data.

[0013] In a preferred embodiment, the historical unit is used to store all the work data in the unit, and the historical unit stores the work data in the cloud, and the work data in the historical unit can be uploaded and downloaded to the cloud in real time through a smart terminal.

[0014] The technical effects and advantages of this invention are as follows: 1. This invention achieves full traceability from raw materials to finished products by monitoring packaging raw materials, environment and equipment status in real time from multiple dimensions and binding raw material data with the production process using RFID tags. The system can dynamically adjust key process parameters such as ink supply, pressure and drying based on real-time data, reduce the influence of human subjective experience judgment, improve the objectivity and accuracy of control, and thus improve printing quality. 2. When calculating ink supply, printing pressure and drying power, this invention combines collected multi-variable data such as temperature, humidity, roughness, thickness and vibration to achieve dynamic optimization of process parameters. When external conditions change, the ink supply, printing pressure and drying power are adjusted, so that this invention can maintain stable printing quality under changing production conditions. 3. This invention combines a display unit with a smart terminal to provide operators with an intuitive interface for data monitoring and manual intervention. At the same time, the historical unit enables cloud storage and retrieval of data, facilitating process backtracking, data analysis, and remote management, and providing data support for continuous optimization of production strategies. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the overall control optimization method of the present invention.

[0016] Figure 2 This is a schematic diagram of the overall system composition of the present invention. Detailed Implementation

[0017] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. In addition, the forms of the various structures described in the following embodiments are merely illustrative. The intelligent control optimization method and system for packaging and printing production involved in the present invention are not limited to the structures described in the following embodiments. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Reference Figure 1 This invention provides an intelligent control and optimization method for packaging printing production, comprising the following steps: Step S1: Detect the data information of packaging raw materials, environmental data, and printing equipment during the printing production process; Step S2: Bind the detected packaging material data information to the corresponding packaging material using RFID tags; Step S3: Scan the RFID tag to obtain packaging material data information, and combine it with real-time environmental data information and equipment vibration data information to calculate ink supply, printing pressure and drying power; Step S4: Printing control is performed using the calculated ink supply, printing pressure, and drying power. Step S5: Display the working data of ink supply, printing pressure, and drying power in real time, and upload the working data to the cloud for storage.

[0019] In this embodiment, the traditional printing process, which originally relied on human experience and was fragmented, is transformed into an intelligent process that is data-driven, dynamically responsive, and fully controllable. This application can dynamically adjust key process parameters such as ink supply, pressure, and drying based on real-time data, reducing the influence of subjective human experience and judgment, improving the objectivity and accuracy of control, and thus improving printing quality.

[0020] An intelligent control and optimization system for packaging and printing production includes a detection unit, an identification unit, a control unit, an ink supply unit, a pressure unit, a drying unit, a display unit, and a history unit. The detection unit is used for detecting packaging raw materials, the environment, and equipment. The identification unit is used for adding RFID tags. The control unit is used for controlling the ink supply unit, the pressure unit, and the drying unit. The ink supply unit is used for adjusting ink supply. The pressure unit is used for adjusting printing pressure. The drying unit is used for adjusting drying power. The display unit is used for displaying data. The history unit is used for storing working data.

[0021] Reference Figure 2 The detection unit detects packaging material data, environmental data, and printing equipment data. The packaging material data includes packaging thickness data (HD), packaging surface roughness data (CC), and packaging material material data. The environmental data includes temperature data (WD) and humidity data (SD). The printing equipment data is the equipment vibration speed data (ZD). The detection unit sends the packaging material data and the packaging material itself to the identification unit. The detection unit also sends the detected environmental data and printing equipment data to the ink supply unit, pressure unit, and drying unit.

[0022] In this embodiment, when collecting data, the application simultaneously collects thickness data (HD), packaging surface roughness data (CC), packaging material data, temperature data (WD), humidity data (SD), environmental data, and vibration velocity data (ZD), and directly sends the environmental and equipment data to each execution unit. Therefore, when performing subsequent intelligent printing control, the collected data is more comprehensive, improving the accuracy of intelligent control.

[0023] Reference Figure 2The identification unit receives data information detected by the detection unit and packaging materials, and binds the detected data information and packaging materials. The identification unit binds the packaging materials by assigning an RFID tag to the packaging materials. The RFID tag contains the data information of the packaging materials detected by the detection unit. After the identification unit adds the RFID tag, it sends the packaging materials to the control unit. After the control unit scans the RFID tag, it controls the ink supply unit, pressure unit and drying unit to work.

[0024] In this embodiment, the system assigns an RFID tag containing characteristic data to each packaged raw material, thus establishing a unique digital ID for the raw material. The control unit can instantly obtain the precise parameters of the batch of raw materials by scanning the RFID tag, without the need for manual input or query, avoiding information transmission errors and delays. Furthermore, it enables the control unit to issue the most suitable process instructions based on accurate raw material information.

[0025] Reference Figure 2 The ink supply unit receives data sent by the detection unit and the control unit and calculates the ink supply volume GM. The formula for calculating the ink supply volume is as follows: In the formula, BG is the ink supply required under standard working conditions, k1 is the adjustment coefficient of temperature and ink supply, k2 is the adjustment coefficient of roughness and ink supply, k3 is the adjustment coefficient of vibration and ink supply, BW is the standard working temperature, BC is the standard packaging roughness, and BZ is the standard vibration speed. The ink supply unit controls the current ink supply of the printing equipment with the ink supply GM.

[0026] In this embodiment, during printing, the ink supply of the printing equipment is related to the current operating temperature, the roughness of the packaging, and the vibration speed of the equipment. The higher the operating temperature, the greater the viscosity of the ink, and the ink supply can be reduced. When the packaging is relatively rough, more ink is needed to fill the uneven surface of the packaging, thereby increasing the ink supply. When the equipment vibration is large, the average ink supply needs to be increased to compensate for the fluctuation defects. The ink supply GM calculated by this application through the above three aspects can more accurately reflect the current printing state, thereby ensuring that the printed text is clear enough. When calculating the temperature and ink supply adjustment coefficient k1, if the standard temperature is 22℃, the ink supply for clear printing is G1. When the temperature changes to 25℃, the ink supply is adjusted to G2, and clear printing is achieved again. At this time, k1 is G2 / G1. If the temperature changes to 20℃, the ink supply is adjusted to G3, and clear printing is achieved again. Then k1 is G3 / G1. The k1 value at different temperatures is calculated with one degree as the boundary. When calculating the roughness and ink supply adjustment coefficient k2, the roughness is calculated with a boundary of 0.1μm, and the vibration speed is calculated with a boundary of 0.1mm, and the k3 value is calculated with a boundary of 0.1mm. All data information is rounded to the nearest whole number based on the boundary.

[0027] Reference Figure 2 The pressure unit receives data sent by the detection unit and the control unit and calculates the pressure value YL. The formula for calculating the pressure value YL is as follows: In the formula, BY is the packaging printing pressure under standard working conditions, m1 is the adjustment coefficient between packaging thickness and printing pressure, m2 is the adjustment coefficient between packaging surface roughness and printing pressure, m3 is the adjustment coefficient between ambient humidity and printing pressure, BH is the standard packaging thickness, BC is the standard packaging roughness, and BS is the standard ambient humidity. The pressure unit controls the working pressure during printing with the calculated pressure value YL.

[0028] In this embodiment of the application, during packaging printing, the packaging printing pressure is related to the packaging thickness, surface roughness, and ambient humidity. The greater the thickness and the rougher the surface, the greater the pressure required. When the humidity is high, it is easier to print, thus allowing the printing pressure to be controlled. This application combines the above three sets of data to accurately control the printing pressure and ensure that the printed text is clear enough. In calculating the adjustment coefficients m1 for packaging thickness and printing pressure, m2 for packaging surface roughness and printing pressure, and m3 for ambient humidity and printing pressure, when calculating the thickness, if the standard packaging thickness is 0.1 mm, the printing pressure is Y1; if the packaging thickness is 0.2 mm, the printing pressure is Y2. Then the adjustment coefficient m1 is Y2 / Y1. The same method is used to calculate the adjustment coefficients m2 and m3. The adjustment coefficient m2 is limited to 0.1 μm, and the adjustment coefficient m3 is limited to one percent humidity.

[0029] Reference Figure 2The drying unit detects the data sent by the detection unit and the control unit and classifies the packaging materials into three categories: absorbent materials, non-absorbent materials, and heat-sensitive materials. The drying unit uses infrared preheating and medium-temperature hot air to dry the absorbent materials, uses a high-temperature oven and UV lamp irradiation to dry the heat-sensitive materials, and uses a high-volume low-temperature drying method to dry the heat-sensitive materials.

[0030] In this embodiment, the packaging materials are classified into three categories: absorbent, non-absorbent, and heat-sensitive. Therefore, for different physical and chemical properties of the materials, three optimal drying methods are matched: infrared preheating + medium-temperature hot air, high-temperature oven + UV, and high-volume low temperature. This can maximize the advantages of various drying technologies without damaging the materials and ensuring the quality of the printed surface packaging.

[0031] Reference Figure 2 The drying unit controls the three types of materials with a first power P1, a second power P2, and a third power P3, respectively. The formula for calculating the first power P1 is as follows: The formula for calculating the second power P2 is as follows: And the formula for calculating the third power P3 is: In the formula, B1 is the drying power under standard working conditions for absorbent materials, B2 is the drying power under standard working conditions for non-absorbent materials, B3 is the drying power under standard working conditions for thermosensitive materials, x1, x2 and x3 are the correlation coefficients between temperature and drying power for the three types of materials, and y1, y2 and y3 are the correlation coefficients between humidity and drying power for the three types of materials. The drying unit controls the printing drying operation with the first power P1, the second power P2 and the third power P3.

[0032] In this embodiment, different drying powers are used to control the drying of three different types of materials. During drying, the ambient temperature and humidity have a significant impact on the drying efficiency. The higher the temperature, the lower the power required for drying, while the higher the humidity, the higher the power required. Therefore, this application uses temperature and humidity as standards to achieve precise adjustment of the drying power. When calculating the correlation coefficients x1, x2, and x3 between temperature and drying power and the correlation coefficients y1, y2, and y3 between humidity and drying power, the power B1 at the standard temperature of 22°C and the power DB required at 25°C have a correlation coefficient x1 of DB / B1. All coefficients are calculated in the same way.

[0033] Reference Figure 2The display unit is used to display data from the ink supply unit, pressure unit, and drying unit. The display unit enables human-computer interaction via a smart terminal. Administrators can manually adjust the operating data of the ink supply unit, pressure unit, and drying unit via the smart terminal. After manual adjustment, the ink supply unit, pressure unit, and drying unit adjust their corresponding operating data. The historical unit is used to store the operating data of all units. The historical unit stores the operating data in the cloud, and the operating data in the historical unit can be uploaded and downloaded to the cloud in real time via the smart terminal.

[0034] In this embodiment, adjustments can be made manually, allowing for timely handling of unexpected situations. Key data is displayed on a smart terminal, enabling managers to monitor production status in real time. Data is stored and backed up securely in the cloud for a long period. All process parameters, equipment status, and quality results are fully recorded and correlated to form a production knowledge base, facilitating root cause tracing of quality problems and promoting continuous iterative optimization of the process.

[0035] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented in software, the above embodiments can be implemented, in whole or in part, as a computer program product. The units and algorithm steps of the various examples described in the embodiments can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0036] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0037] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0038] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for intelligent control and optimization of packaging printing production, characterized in that: Includes the following steps: Step S1: Detect the data information of packaging raw materials, environmental data, and printing equipment during the printing production process; Step S2: Bind the detected packaging material data information to the corresponding packaging material using RFID tags; Step S3: Scan the RFID tag to obtain packaging material data information, and combine it with real-time environmental data information and equipment vibration data information to calculate ink supply, printing pressure and drying power; Step S4: Printing control is performed using the calculated ink supply, printing pressure, and drying power; Step S5: Display the working data of ink supply, printing pressure, and drying power in real time, and upload the working data to the cloud for storage.

2. An intelligent control and optimization system for packaging printing production, characterized in that: It includes a detection unit, an identification unit, a control unit, an ink supply unit, a pressure unit, a drying unit, a display unit, and a history unit. The detection unit is used for detecting packaging raw materials, the environment, and equipment. The identification unit is used for adding RFID tags. The control unit is used to control the ink supply unit, the pressure unit, and the drying unit. The ink supply unit is used for adjusting ink supply. The pressure unit is used for adjusting printing pressure. The drying unit is used for adjusting drying power. The display unit is used for displaying data. The history unit is used for storing working data.

3. The intelligent control and optimization system for packaging printing production according to claim 2, characterized in that: The detection unit detects packaging material data, environmental data, and printing equipment data. The packaging material data includes packaging thickness data (HD), packaging surface roughness data (CC), and packaging material material data. The environmental data includes temperature data (WD) and humidity data (SD). The printing equipment data is the equipment vibration speed data (ZD). The detection unit sends the packaging material data and the packaging material itself to the identification unit. The detection unit also sends the detected environmental data and printing equipment data to the ink supply unit, pressure unit, and drying unit.

4. The intelligent control and optimization system for packaging printing production according to claim 3, characterized in that: The identification unit receives the data information detected by the detection unit and the packaging material, and binds the detected data information and the packaging material. The identification unit binds the packaging material by assigning an RFID tag to the packaging material. The RFID tag contains the data information of the packaging material detected by the detection unit. After the identification unit adds the RFID tag, it sends the packaging material to the control unit. After the control unit scans the RFID tag, it controls the ink supply unit, pressure unit and drying unit to work.

5. The intelligent control and optimization system for packaging printing production according to claim 2, characterized in that: The ink supply unit receives data sent by the detection unit and the control unit and calculates the ink supply volume GM. The formula for calculating the ink supply volume is as follows: In the formula, BG is the ink supply required under standard working conditions, k1 is the adjustment coefficient of temperature and ink supply, k2 is the adjustment coefficient of roughness and ink supply, k3 is the adjustment coefficient of vibration and ink supply, BW is the standard working temperature, BC is the standard packaging roughness, and BZ is the standard vibration speed. The ink supply unit controls the current ink supply of the printing equipment with the ink supply GM.

6. The intelligent control and optimization system for packaging printing production according to claim 2, characterized in that: The pressure unit receives data sent by the detection unit and the control unit and calculates the pressure value YL. The formula for calculating the pressure value YL is as follows: In the formula, BY is the packaging printing pressure under standard working conditions, m1 is the adjustment coefficient between packaging thickness and printing pressure, m2 is the adjustment coefficient between packaging surface roughness and printing pressure, m3 is the adjustment coefficient between ambient humidity and printing pressure, BH is the standard packaging thickness, BC is the standard packaging roughness, and BS is the standard ambient humidity. The pressure unit controls the working pressure during printing with the calculated pressure value YL.

7. The intelligent control and optimization system for packaging printing production according to claim 2, characterized in that: The drying unit detects the data sent by the detection unit and the control unit and classifies the packaging materials into three categories: absorbent materials, non-absorbent materials, and heat-sensitive materials. The drying unit uses infrared preheating and medium-temperature hot air to dry the absorbent materials, uses a high-temperature oven and UV lamp irradiation to dry the heat-sensitive materials, and uses a high-volume low-temperature drying method to dry the heat-sensitive materials.

8. The intelligent control and optimization system for packaging printing production according to claim 7, characterized in that: The drying unit controls the three types of materials using a first power P1, a second power P2, and a third power P3, respectively. The formula for calculating the first power P1 is as follows: The formula for calculating the second power P2 is as follows: And the formula for calculating the third power P3 is: In the formula, B1 is the drying power under standard working conditions for absorbent materials, B2 is the drying power under standard working conditions for non-absorbent materials, B3 is the drying power under standard working conditions for thermosensitive materials, x1, x2 and x3 are the correlation coefficients between temperature and drying power for the three types of materials, and y1, y2 and y3 are the correlation coefficients between humidity and drying power for the three types of materials. The drying unit controls the printing drying operation with the first power P1, the second power P2 and the third power P3.

9. The intelligent control and optimization system for packaging printing production according to claim 2, characterized in that: The display unit is used to display data from the ink supply unit, pressure unit, and drying unit. The display unit enables human-computer interaction through a smart terminal. Administrators can manually adjust the working data of the ink supply unit, pressure unit, and drying unit through the smart terminal. After manual adjustment, the ink supply unit, pressure unit, and drying unit will adjust their corresponding working data.

10. The intelligent control and optimization system for packaging printing production according to claim 2, characterized in that: The historical unit is used to store all the work data in the unit, and the historical unit stores the work data in the cloud. The work data in the historical unit can be uploaded and downloaded to the cloud in real time through a smart terminal.

Images