A packaging box laminating method, system, device and medium thereof

Abstract

The present invention provides a packaging box laminating method, system, equipment and medium thereof, and the method comprises the following steps: placing the packaging box to be laminated on the conveyor belt of the conveying module, setting the conveying direction and conveying speed through the control module, and then starting the conveying module to convey the packaging box to be laminated. The present invention realizes high automation and intelligence of packaging box laminating by combining the control module, sensor and camera, thereby improving laminating efficiency, reducing manual operation, and reducing errors and waste. The laminating and cutting accuracy is ensured by real-time identification of the size, shape and position of the packaging box; the control module adjusts the laminating module parameters according to the information to avoid the generation of bubbles and wrinkles; the heating temperature and pressure are monitored and adjusted in real time to ensure the stability of the laminating; the monitoring alarm, data management and analysis modules are integrated to monitor and warn of abnormalities in real time, helping enterprises optimize production strategies, improve efficiency and quality, and promote intelligent production.

Description

Technical Field

[0001] The present invention relates to the technical field of packaging box laminating, and in particular to a packaging box laminating method, system, equipment and medium thereof. Background Art

[0002] With the rapid development of the packaging industry, packaging box laminating technology, as an important packaging process, has been widely used in the packaging of various products. The laminating packaging box is not only effectively waterproof, moisture-proof, shock-proof, scratch-proof, etc., but also has a good protective effect, which is especially suitable for long-distance transportation or long-term storage. In addition, the appearance of the packaging box after lamination is smoother and brighter, with bright colors, which can increase the beauty and attractiveness of the product and increase consumers' desire to buy. Therefore, laminating technology can effectively protect the appearance of the packaging box and improve the grade and added value of the product. However, there are still some problems in the actual application of the existing packaging box laminating technology:

[0003] 1. Traditional laminating equipment often relies on manual operation or simple mechanical operation, and cannot achieve automation and intelligence, resulting in low laminating efficiency. At the same time, since it cannot automatically adjust according to the size, shape and other information of the packaging box, waste and errors may occur during the laminating process;

[0004] Second, the existing laminating equipment may lack accurate positioning and recognition technology during the laminating process, resulting in loose fit between the laminating material and the packaging box, bubbles, wrinkles and other problems, which affect the laminating quality;

[0005] 3. Existing laminating equipment often lacks intelligent control and management systems, and cannot monitor various data in the laminating process, such as temperature, pressure, speed, etc. in real time, resulting in the inability to accurately control and optimize the laminating process. In addition, traditional laminating equipment often lacks the ability to collect and analyze data generated during the laminating process, and cannot optimize control strategies based on historical data and real-time feedback, resulting in the inability to further improve laminating quality and efficiency;

[0006] To this end, a packaging box laminating method, system, equipment and medium thereof are proposed. Summary of the invention

[0007] In view of this, the embodiments of the present invention hope to provide a packaging box laminating method, system, device and medium thereof to solve or alleviate the technical problems existing in the prior art and at least provide a beneficial choice.

[0008] In order to solve the above technical problems, a technical solution adopted in the present application is: a packaging box laminating method, comprising the following steps:

[0009] Step 1: Place the packaging box to be coated on the conveyor belt of the conveying module, set the conveying direction and conveying speed through the control module, and start the conveying module to convey the packaging box to be coated;

[0010] Step 2: When the packaging box is transported to the identification and positioning module area, the size, shape and position of the packaging box are detected and identified in real time;

[0011] Step 3: The identification and positioning module feeds back the detected packaging box information to the control module in real time. The control module automatically adjusts the operating parameters of the laminating module according to the received packaging box information, and controls the conveying module to convey the packaging box to be laminated to the laminating area;

[0012] Step 4: The laminating module automatically adjusts the position and angle to closely fit the laminating material to the packaging box;

[0013] Step 5: During the laminating process, the monitoring and alarm module monitors the entire laminating process in real time and automatically alarms when an abnormality occurs;

[0014] Step 6: The package box after lamination is continuously sent out by the conveyor belt of the conveying module and enters the cutting module area. The cutting module automatically adjusts the position and angle of the cutting tool according to the size and shape information of the package box, and accurately cuts the package box after lamination;

[0015] Step 7: The data management module collects various data in the laminating process in real time and stores them in the database;

[0016] Step 8: The data analysis module analyzes the collected data and generates statistical information.

[0017] As a further preferred embodiment of the present technical solution, in step 2, the method for real-time detection and identification of the size, shape and position of the packaging box comprises the following steps:

[0018] Step 1: Initialize the sensors and cameras in the recognition and positioning module;

[0019] Step 2: When the packaging box enters the detection area of ​​the identification and positioning module under the drive of the conveying module, the sensor starts to work to measure the height, width and length of the packaging box;

[0020] Step 3: The sensor sends the collected data to the control module, which calculates the exact size of the packaging box based on the data;

[0021] Step 4: Use a camera to capture an image of the packaging box, compare and analyze the captured image with a pre-stored standard packaging box shape database, and determine the shape of the packaging box through an image recognition algorithm;

[0022] Step 5: Determine the position of the packaging box on the conveyor belt by combining sensors and camera image analysis;

[0023] Step 6: Integrate the identified size, shape and position information of the packaging box into a data packet and send it to the control module.

[0024] As a further preferred embodiment of the present technical solution, in step three, the operating parameters include working position and angle parameters, temperature parameters and pressure parameters of the laminating module.

[0025] As a further preferred embodiment of the present technical solution, in step 4, the method for closely fitting the laminating material to the packaging box comprises the following steps:

[0026] Step S1, the laminating mechanism in the laminating module automatically adjusts its working position and angle according to the size and shape information of the packaging box provided by the identification and positioning module;

[0027] Step S2, the heating element in the coating module starts working according to a preset heating temperature to preheat the coating material;

[0028] Step S3: When the packaging box is transported to the laminating area, the laminating mechanism applies pressure to the laminating material through a pressure device, such as a roller or a pressure plate, so that the preheated laminating material is covered on the surface of the packaging box;

[0029] Step S4: During the coating process, the system monitors the temperature of the heating element and the pressure value of the pressure device in real time.

[0030] As a further preferred embodiment of the present technical solution, the sensor and camera initialization settings include sensor calibration and camera focus, the sensor includes a photoelectric sensor, a laser ranging sensor and a position sensor, and the image recognition algorithm is a deep learning algorithm, such as a convolutional neural network.

[0031] As a further preferred embodiment of the present technical solution, the control module utilizes advanced algorithms and artificial intelligence technology to continuously optimize the control strategy based on historical data and real-time feedback.

[0032] As a further preferred embodiment of the present technical solution, the coating material is selected from biodegradable and environmentally friendly materials, such as polylactic acid or polyhydroxyalkanoate.

[0033] To solve the above technical problems, another technical solution adopted by the present application is: a packaging box laminating system, comprising: a conveying module, an identification and positioning module, a control module, a laminating module, a cutting module, a monitoring and alarm module, a data management module and a data analysis module;

[0034] The conveying module is used to convey the packaging box to be coated according to the set conveying direction and speed;

[0035] The identification and positioning module is used to detect and identify the size, shape and position of the packaging box in real time;

[0036] The control module is used to receive information from the identification and positioning module, and adjust the operating parameters of the laminating module according to the information from the identification and positioning module, and control the action of the conveying module at the same time;

[0037] The laminating module is used to automatically adjust the position and angle to closely fit the laminating material to the packaging box;

[0038] The cutting module is used to cut the film-laminated packaging box to remove excess film material at the edge;

[0039] The monitoring and alarm module is used to monitor the entire laminating process in real time and automatically alarm when an abnormality is found;

[0040] The data management module is used to collect various data in the laminating process in real time and store them in the database;

[0041] The data analysis module is used to analyze the collected data, generate statistical information, and provide a reference for optimizing production.

[0042] To solve the above technical problems, another technical solution adopted in the present application is: an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of a packaging box laminating method as described in any one of the above are implemented.

[0043] In order to solve the above technical problems, another technical solution adopted in the present application is: a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of a packaging box laminating method as described in any one of the above are implemented.

[0044] The embodiment of the present invention has the following advantages due to the adoption of the above technical solution:

[0045] 1. The present invention realizes a high degree of automation and intelligence in the film laminating process of the packaging box through the recognition and positioning module which combines the control module, the sensor and the camera, which not only significantly improves the film laminating efficiency, reduces the dependence on manual operation, reduces the errors and waste caused by manual operation, but also can detect and identify the size, shape and position information of the packaging box in real time and accurately, and provides accurate data support for the subsequent film laminating and cutting operations, thereby ensuring the accuracy of the film laminating and cutting precision;

[0046] 2. The present invention automatically adjusts the operating parameters (such as working position, angle, temperature and pressure, etc.) of the laminating module according to the recognized packaging box information through the control module, thereby ensuring the close fit between the laminating material and the packaging box, effectively avoiding quality problems such as bubbles and wrinkles, and at the same time, real-time monitoring and adjustment of the temperature of the heating element and the pressure value of the pressure device further ensure the stability and reliability of the laminating process;

[0047] 3. The present invention realizes real-time monitoring and data analysis of the coating process by integrating monitoring alarm, data management and analysis modules. The system can detect abnormalities in time and automatically alarm to avoid quality problems and production accidents. At the same time, real-time data collection and analysis help enterprises optimize production strategies, improve efficiency and quality, and promote intelligent production.

[0048] The above summary is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments and features described above, further aspects, embodiments and features of the present invention will be readily apparent by reference to the accompanying drawings and the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0050] Figure 1 It is a flow chart of a packaging box laminating method of the present invention;

[0051] Figure 2 A flow chart of a method for real-time detection and identification of the size, shape and position of a packaging box according to the present invention;

[0052] Figure 3 It is a flow chart of the method for closely fitting the coating material and the packaging box of the present invention;

[0053] Figure 4 This is a schematic diagram of the functional modules of a packaging box laminating system of the present invention;

[0054] Figure 5 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.

[0056] It should be clear that the following embodiments of the present disclosure are described by specific specific examples, and those skilled in the art can easily understand other advantages and effects of the present disclosure from the contents disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, rather than all of the embodiments. The present disclosure can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that the following embodiments and features in the embodiments can be combined with each other in the absence of conflict. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present disclosure.

[0057] It should be noted that various aspects of the embodiments within the scope of the appended claims are described below. It should be apparent that the aspects described herein may be embodied in a wide variety of forms, and any specific structure and / or function described herein is merely illustrative. Based on the present disclosure, it should be understood by those skilled in the art that an aspect described herein may be implemented independently of any other aspect, and two or more of these aspects may be combined in various ways. For example, any number of aspects described herein may be used to implement the device and / or practice the method. In addition, other structures and / or functionalities other than one or more of the aspects described herein may be used to implement this device and / or practice this method.

[0058] It should also be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present disclosure. The drawings only show components related to the present disclosure rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0059] Additionally, in the following description, specific details are provided to facilitate a thorough understanding of the examples. However, it will be understood by those skilled in the art that the aspects described may be practiced without these specific details.

[0060] Figure 1 1 is a flow chart of a packaging box laminating method, system, device and medium according to an embodiment of the present invention. It should be noted that if there is substantially the same result, the method of the present application is not limited to Figure 1 The process sequence shown is limited. Figure 1-Figure 3 As shown: A packaging box laminating method, comprising the following steps:

[0061] Step 1: Place the packaging box to be coated on the conveyor belt of the conveying module, set the conveying direction and conveying speed through the control module, and start the conveying module to convey the packaging box to be coated;

[0062] Among them, the conveying direction is selected according to the layout of the production line and the process flow, and the conveying speed is set according to the size, material and laminating process requirements of the packaging box.

[0063] Step 2: When the packaging box is transported to the identification and positioning module area, the size, shape and position of the packaging box are detected and identified in real time;

[0064] Among them, the recognition and positioning module can detect and identify the size, shape and position of the packaging box in real time and accurately, providing accurate input data for the subsequent laminating process. The application of this recognition and positioning module not only improves the automation level of the laminating process, but also enhances the flexibility and adaptability of the production process.

[0065] Step 3: The identification and positioning module feeds back the detected packaging box information to the control module in real time. The control module automatically adjusts the operating parameters of the laminating module according to the received packaging box information, and controls the conveying module to convey the packaging box to be laminated to the laminating area;

[0066] After receiving the packaging box information, the control module will first verify the integrity and accuracy of the data. Then, the control module will parse the data packet and extract the size, shape and position information of the packaging box. Based on this information, the control module will perform a series of calculations and analyses to determine the operating parameters that need to be adjusted for the laminating module. These parameters may include the working position, angle, temperature, pressure, etc. of the laminating module.

[0067] Step 4: The laminating module automatically adjusts the position and angle to closely fit the laminating material to the packaging box;

[0068] Among them, after the laminating module receives the position adjustment instruction sent by the control module, it will start the position adjustment mechanism. According to the instruction, the laminating module will move accurately to the specified position through the motor, cylinder and other driving devices. During the movement, the laminating module will use sensors (such as photoelectric sensors, laser ranging sensors, etc.) to monitor its position in real time to ensure the accuracy of the adjustment. In addition to position adjustment, the laminating module also needs to adjust the angle according to the shape of the packaging box. The control module will calculate the optimal laminating angle and send an angle adjustment instruction to the laminating module. The laminating module will accurately adjust its angle through the angle adjustment mechanism (such as a rotating motor, angle sensor, etc.) according to the instruction. After the position and angle adjustment are completed, the laminating module will accurately place the laminating material on the packaging box. Under the control of the control module, the laminating module will use heating, pressure and other methods to tightly fit the laminating material to the packaging box. During the laminating process, the laminating module will use sensors to monitor the laminating effect to ensure that there are no defects such as bubbles and wrinkles, so as to achieve a high-quality laminating effect.

[0069] Step 5: During the laminating process, the monitoring and alarm module monitors the entire laminating process in real time and automatically alarms when an abnormality occurs;

[0070] Among them, when the laminating module starts working, the monitoring and alarm module is also started synchronously and enters the real-time monitoring state. The monitoring and alarm module monitors the entire laminating process in real time through built-in sensors, cameras and other equipment. The monitoring content includes but is not limited to: the tension, temperature, and speed of the laminating material, the fit between the laminating material and the packaging box, and abnormal conditions such as bubbles and wrinkles during the laminating process. The monitoring and alarm module analyzes and judges the data collected in real time, and compares it with the preset normal parameter range. If any data is found to exceed or fall below the preset normal range, or if an abnormal condition is identified during the laminating process, the monitoring and alarm module will immediately trigger the alarm mechanism. The alarm methods include sound alarms, flashing lights, and displaying error messages on the display screen, so that operators can quickly detect abnormal conditions. At the same time, the monitoring and alarm module will also record the abnormal information into the system for subsequent analysis and processing.

[0071] Step 6: The package box after lamination is continuously sent out by the conveyor belt of the conveying module and enters the cutting module area. The cutting module automatically adjusts the position and angle of the cutting tool according to the size and shape information of the package box, and accurately cuts the package box after lamination;

[0072] Among them, the cutting module will automatically adjust the position and angle of the cutting tool according to the received size and shape information of the packaging box. If the packaging box is a regular shape (such as a rectangle or square), the cutting module will adjust it according to the preset cutting template; if the packaging box is a special shape, the cutting module will dynamically calculate and adjust the position and angle of the cutting tool according to the specific size and shape information received.

[0073] Step 7: The data management module collects various data in the laminating process in real time and stores them in the database;

[0074] Among them, the data management module obtains various data in the laminating process in real time by connecting to sensors, instruments and other data acquisition equipment on the laminating production line. The collected data include but are not limited to: laminating speed, temperature, pressure, amount of laminating material, size, shape, position, cutting parameters of the packaging box, etc. The frequency of data collection can be set according to actual needs to ensure the accuracy and real-time nature of the data. The collected data will be transmitted to the data management module in real time for processing and storage. The data management module stores the data in a pre-designed database. The database can use a relational database (such as MySQL, Oracle) or a non-relational database (such as MongoDB, Redis). The specific choice depends on the characteristics of the data and application requirements. When storing data, it will be organized according to a certain data structure, such as tables, documents, etc., for subsequent data query and analysis.

[0075] Step 8: The data analysis module analyzes the collected data and generates statistical information.

[0076] Among them, the data analysis module first receives the original data transmitted by the data management module, cleans the data, removes duplicate, erroneous or invalid data, ensures the quality and accuracy of the data, and performs necessary conversion and formatting on the data to meet the needs of subsequent analysis. It uses statistical analysis methods (such as descriptive statistics, correlation analysis, variance analysis, etc.) to conduct in-depth analysis of the data of the lamination process, analyze the relationship between process parameters such as lamination speed, temperature, pressure and product quality, find out the key factors affecting product quality, analyze the impact of different packaging box sizes and shapes on the lamination process and cutting process, optimize the production process, and evaluate the operating status and efficiency of the lamination equipment through time series analysis and other methods, predict possible failures or problems of the equipment, and generate a detailed statistical report based on the results of the data analysis. The statistical report should include various performance indicators of the lamination process, such as average lamination speed, temperature fluctuation range, defective product rate, etc.

[0077] In one embodiment, specifically, in step 2, the method for real-time detection and identification of the size, shape and position of the packaging box includes the following steps:

[0078] Step 1: Initialize the sensors and cameras in the recognition and positioning module;

[0079] The initialization settings of sensors and cameras include calibrating the sensors to ensure their measurement accuracy, and adjusting the camera's focus, brightness, contrast and other parameters to optimize image capture effects.

[0080] Step 2: When the packaging box enters the detection area of ​​the identification and positioning module under the drive of the conveying module, the sensor starts to work to measure the height, width and length of the packaging box;

[0081] Among them, the sensors usually include laser ranging sensors, infrared sensors, etc., which are used to measure the height, width and length of the packaging box.

[0082] Step 3: The sensor sends the collected data to the control module, which calculates the exact size of the packaging box based on the data;

[0083] Among them, the control module calculates the exact size of the packaging box based on these data through preset algorithms, which include simple mathematical operations and complex geometric calculations.

[0084] Step 4: Use a camera to capture an image of the packaging box, compare and analyze the captured image with a pre-stored standard packaging box shape database, and determine the shape of the packaging box through an image recognition algorithm;

[0085] Among them, the camera usually has functions such as automatic focus and automatic exposure adjustment to ensure that clear images can be captured under different lighting and speed conditions. In order to improve the accuracy of image recognition, the original image captured by the camera will be preprocessed. The preprocessing steps may include grayscale, binarization, noise elimination, edge detection, etc., so as to better extract the shape features of the packaging box.

[0086] Step 5: Determine the position of the packaging box on the conveyor belt by combining sensors and camera image analysis;

[0087] The sensor provides three-dimensional position information of the packaging box, while the camera provides two-dimensional image information. Combining these two data, the packaging box can be accurately located.

[0088] Step 6: Integrate the identified size, shape and position information of the packaging box into a data packet and send it to the control module.

[0089] Among them, the control module further controls other equipment such as the laminating module and the cutting module according to the data packet information to realize automated production.

[0090] In one embodiment, specifically, in step three, the operating parameters include working position and angle parameters, temperature parameters and pressure parameters of the laminating module.

[0091] Lamination temperature is a key factor affecting lamination quality. The temperature determines the melting state of hot melt adhesive or low-temperature resin, which in turn affects the diffusion ability of adhesive layer molecules to pre-coated film substrates and printed ink layers, paper, etc. The specific temperature parameters should be adjusted according to the type of lamination products and lamination equipment. For pre-coated films with PET film as the substrate, the lamination temperature is usually higher than that of BOPP film. At the same time, the thickness of the substrate will also affect the lamination temperature. The thicker the substrate, the higher the temperature required to penetrate the substrate to melt the adhesive layer. According to production experience, the lamination temperature is usually adjusted within the range of 95-115°C, but the specific temperature setting value should be determined according to the actual production situation and material characteristics;

[0092] Laminating pressure is the external condition for the pre-coating film to bond with the printed product. Appropriate pressure helps the hot melt adhesive or low-temperature resin molecules diffuse and penetrate toward the printed product, thereby improving the laminating quality. The pressure should be adjusted according to the different papers used for the printed product. The larger the paper weight, the greater the required laminating pressure. On the contrary, the smaller the paper weight, the smaller the stiffness and the easier it is to deform. Therefore, the laminating pressure needs to be appropriately reduced to avoid problems such as wrinkles. Generally speaking, the laminating pressure should be controlled within the range of 10 to 20 MPa, but this range may need to be fine-tuned according to the specific equipment and material characteristics.

[0093] In one embodiment, specifically, in step 4, the method for closely fitting the laminating material to the packaging box comprises the following steps:

[0094] Step S1, the laminating mechanism in the laminating module automatically adjusts its working position and angle according to the size and shape information of the packaging box provided by the identification and positioning module;

[0095] The laminating mechanism automatically adjusts its working position and angle according to the size and shape information of the packaging box, ensuring that the laminating mechanism can be accurately aligned with the packaging box, and in subsequent steps, the laminating material and the packaging box can be tightly fitted.

[0096] Step S2, the heating element in the coating module starts working according to a preset heating temperature to preheat the coating material;

[0097] The purpose of preheating is to make the laminating material reach appropriate softness and viscosity so as to better adhere to the surface of the packaging box in the subsequent steps.

[0098] Step S3: When the packaging box is transported to the laminating area, the laminating mechanism applies pressure to the laminating material through a pressure device, such as a roller or a pressure plate, so that the preheated laminating material is covered on the surface of the packaging box;

[0099] Among them, by applying pressure through a pressure device, the coating material will fit tightly on the packaging box due to the pressure, forming a protective film.

[0100] Step S4: During the coating process, the system monitors the temperature of the heating element and the pressure value of the pressure device in real time.

[0101] During the entire laminating process, the system will monitor the temperature of the heating element and the pressure value of the pressure device in real time to ensure that the heating temperature and pressure value remain within the preset range, thereby ensuring the close fit quality of the laminating material and the packaging box.

[0102] In one embodiment, specifically, the sensor and camera initialization settings include sensor calibration and camera focus, the sensors include photoelectric sensors, laser ranging sensors and position sensors, and the image recognition algorithm is a deep learning algorithm, such as a convolutional neural network. By using a deep learning algorithm as an image recognition algorithm, the accuracy and robustness of the system can be further improved.

[0103] In one embodiment, specifically, the control module utilizes advanced algorithms and artificial intelligence technology to continuously optimize the control strategy based on historical data and real-time feedback. By utilizing advanced algorithms and artificial intelligence technology, the control module can continuously optimize the control strategy based on historical data and real-time feedback to achieve more efficient and accurate system operation. This capability enables the system to maintain stable operation under various conditions and adapt to changing needs and environments.

[0104] In one embodiment, the coating material is a biodegradable and environmentally friendly material, such as polylactic acid or polyhydroxyalkanoate.

[0105] Polylactic acid (PLA):

[0106] Source of raw materials: Polylactic acid is obtained by chemical synthesis methods (such as direct condensation polymerization or its dimer lactide ring-opening polymerization) using L-lactic acid produced by microbial fermentation as raw material.

[0107] Features: Polylactic acid is non-toxic and non-irritating, and has good biocompatibility, bioabsorbability and biodegradability. Its anti-permeability is similar to that of polyester, and its appearance and processing performance are similar to those of polystyrene.

[0108] Application: Polylactic acid film is widely used as food packaging material due to its high transparency, high gloss and safety. In addition, it is also used in agricultural mulch, packaging film, cushioning material, adhesive, office supplies, daily necessities and electronic product shells.

[0109] Degradability: Under industrial composting, polylactic acid can be completely degraded into water and carbon dioxide, reflecting its excellent environmental performance.

[0110] Polyhydroxyalkanoates (PHA):

[0111] Source of raw materials: Polyhydroxyalkanoates are a type of intracellular polyester synthesized by many bacteria and have the characteristics of natural polymer biomaterials.

[0112] Characteristics: In addition to the physical and chemical properties of traditional plastics, PHA also has many excellent properties such as biodegradability, biocompatibility, optical activity, piezoelectricity, gas barrier properties, etc. In addition, PHA also has good gas barrier properties and hydrolytic stability.

[0113] Application: PHA has broad application prospects in biodegradable packaging materials, tissue engineering materials, sustained-release materials, electrical materials and medical materials. In particular, PHA has excellent performance in the fields of fresh food preservation packaging, appliance production, electronic products, etc.

[0114] Degradability: PHA also has good biodegradability and can be decomposed into low molecular weight compounds by microorganisms in nature under certain conditions.

[0115] Figure 4 is a functional module diagram of a packaging box laminating system according to an embodiment of the present application, such as Figure 4 As shown, a packaging box laminating system includes: a conveying module, an identification and positioning module, a control module, a laminating module, a cutting module, a monitoring and alarm module, a data management module and a data analysis module;

[0116] The conveying module is used to convey the packaging boxes to be laminated in the set conveying direction and speed, ensuring the smooth movement of the packaging boxes during the laminating process and providing stable input for subsequent identification, positioning and laminating operations;

[0117] The identification and positioning module is used to detect and identify the size, shape and position of the packaging box in real time to ensure the accuracy of the laminating operation;

[0118] The control module is used to receive information from the identification and positioning module, and adjust the operating parameters of the laminating module according to the information from the identification and positioning module, and control the action of the conveying module. The control module is responsible for coordinating the work of each module to ensure the smooth progress of the entire laminating process;

[0119] The laminating module is used to automatically adjust the position and angle to closely fit the laminating material to the packaging box. The laminating module has high flexibility and accuracy and can meet the laminating requirements of packaging boxes of different sizes and shapes.

[0120] The cutting module is used to cut the packaging box after lamination, remove the excess lamination material at the edge, and make the lamination effect more beautiful and neat;

[0121] The monitoring and alarm module is used to monitor the entire laminating process in real time and automatically alarm when abnormalities are found, ensuring the stable operation of the system and reducing the occurrence of production accidents;

[0122] The data management module is used to collect various data in the laminating process in real time and store them in the database, providing data support for data analysis and optimization of the system, while facilitating users to query and trace historical data;

[0123] The data analysis module is used to analyze the collected data and generate statistical information to provide a reference for optimizing production, help users gain an in-depth understanding of the system's operating status and performance, and provide a scientific basis for improving production processes and increasing production efficiency.

[0124] For other details about the technical solutions implemented by each module in the system of the above embodiment, please refer to the description of a packaging box laminating method, system, device and medium thereof in the above embodiment, which will not be repeated here.

[0125] It should be noted that each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments, and the same or similar parts between the embodiments can be referred to each other. For system embodiments, since they are basically similar to method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0126] like Figure 5 The present invention provides a schematic diagram of the structure of an electronic device according to an embodiment of the present invention, which is suitable for implementing the electronic device in the embodiment of the present invention. Figure 5 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0127] like Figure 5As shown, an electronic device includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus. The processor can call the logic instructions in the memory to execute a packaging box laminating method, the method comprising: receiving instructions or operations through the communication interface, placing the packaging box to be laminar on the conveyor belt of the conveying module. Then, the conveying direction and conveying speed are set by the processor, and the conveying module is started to convey the packaging box to be laminar. When the packaging box is conveyed to the identification and positioning module area, the sensor and camera in the identification and positioning module start working, and detect and identify the size, shape and position of the packaging box in real time. The identification and positioning module feeds back the detected packaging box information to the processor in real time through the communication bus. The processor automatically adjusts the operating parameters of the laminating module according to the received packaging box information, and controls the conveying module through the communication interface to convey the packaging box to be laminar to the laminating area. The laminating module automatically adjusts the position and angle according to the instructions sent by the processor, and fits the laminating material tightly to the packaging box. During the laminating process, the monitoring and alarm module monitors the entire laminating process in real time. Once an abnormality is found, an alarm signal is sent to the processor through the communication interface, and the processor triggers the alarm mechanism according to the alarm signal. The package box that has completed the lamination continues to be sent out by the conveyor belt of the conveying module and enters the cutting module area. The cutting module automatically adjusts the position and angle of the cutting tool according to the size and shape information of the package box sent by the processor, and accurately cuts the package box after lamination. The data management module collects various data in the laminating process in real time, and transmits the data to the memory through the communication interface for storage. The data analysis module reads the collected data from the memory, analyzes the data, generates statistical information, and provides a reference for optimizing production.

[0128] Figure 5 The electronic device in the packaging box can be an independent device or a part integrated in the packaging box laminating system. By executing the above method, the electronic device realizes the high automation and intelligence of the packaging box laminating process, improves the laminating efficiency and product quality

[0129] For detailed description of this embodiment, reference may be made to the corresponding descriptions in the aforementioned embodiments, which will not be repeated here.

[0130] The embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, a packaging box laminating method provided by the above methods is implemented, the method comprising: receiving instructions or operations through a communication interface, placing the packaging box to be laminar on the conveyor belt of the conveying module. Then, the conveying direction and conveying speed are set by the processor, and the conveying module is started to convey the packaging box to be laminar. When the packaging box is conveyed to the identification and positioning module area, the sensor and camera in the identification and positioning module start working, and detect and identify the size, shape and position of the packaging box in real time. The identification and positioning module feeds back the detected packaging box information to the processor in real time through the communication bus. The processor automatically adjusts the operating parameters of the laminating module according to the received packaging box information, and controls the conveying module to convey the packaging box to be laminar to the laminating area through the communication interface. The laminating module automatically adjusts the position and angle according to the instructions sent by the processor, and closely fits the laminating material to the packaging box. During the laminating process, the monitoring alarm module monitors the entire laminating process in real time. Once an abnormality is found, an alarm signal is sent to the processor through the communication interface, and the processor triggers the alarm mechanism according to the alarm signal. The package boxes that have completed the lamination are continuously sent out by the conveyor belt of the conveying module and enter the cutting module area. The cutting module automatically adjusts the position and angle of the cutting tool according to the package box size and shape information sent by the processor, and accurately cuts the package boxes after lamination. The data management module collects various data in the lamination process in real time, and transmits the data to the memory through the communication interface for storage. The data analysis module reads the collected data from the memory, analyzes the data, generates statistical information, and provides a reference for optimizing production.

[0131] The above-mentioned computer-readable storage media include, but are not limited to: optical storage media (e.g., CD-ROM and DVD), magneto-optical storage media (e.g., MO), magnetic storage media (e.g., magnetic tape or mobile hard disk), media with built-in rewritable non-volatile memory (e.g., memory card) and media with built-in ROM (e.g., ROM box).

[0132] For detailed description of this embodiment, reference may be made to the corresponding descriptions in the aforementioned embodiments, which will not be repeated here.

[0133] The basic principles of the present disclosure are described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, effects, etc. mentioned in the present disclosure are only examples and not limitations, and it cannot be considered that these advantages, strengths, effects, etc. are required by each embodiment of the present disclosure. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, and are not limiting. The above details do not limit the present disclosure to the necessity of adopting the above specific details to be implemented.

[0134] In the present disclosure, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. The block diagrams of the devices, devices, equipment, and systems involved in the present disclosure are only illustrative examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagram. As will be appreciated by those skilled in the art, these devices, devices, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including", "comprising", "having", etc. are open words, referring to "including but not limited to", and can be used interchangeably with them. The words "or" and "and" used here refer to the words "and / or" and can be used interchangeably with them, unless the context clearly indicates otherwise. The words "such as" used here refer to the phrase "such as but not limited to", and can be used interchangeably with them.

[0135] Additionally, as used herein, "or" used in a list of items beginning with "at least one" indicates a separate list, so that, for example, a list of "at least one of A, B, or C" means A or B or C, or AB or AC or BC, or ABC (i.e., A and B and C). Furthermore, the word "exemplary" does not mean that the example described is preferred or better than other examples.

[0136] It should also be noted that in the system and method of the present disclosure, each component or each step can be decomposed and / or recombined. Such decomposition and / or recombination should be regarded as equivalent solutions of the present disclosure.

[0137] Various changes, substitutions, and modifications of the techniques described herein may be made without departing from the teachings defined by the appended claims. Furthermore, the scope of the claims of the present disclosure is not limited to the specific aspects of the processes, machines, manufactures, compositions of events, means, methods, and actions described above. Currently existing or later to be developed processes, machines, manufactures, compositions of events, means, methods, or actions that perform substantially the same functions or achieve substantially the same results as the corresponding aspects described herein may be utilized. Thus, the appended claims include such processes, machines, manufactures, compositions of events, means, methods, or actions within their scope.

[0138] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of the present disclosure. Therefore, the present disclosure is not intended to be limited to the aspects shown herein, but rather to the widest range consistent with the principles and novel features disclosed herein. The above description has been given for purposes of illustration and description. In addition, this description is not intended to limit the embodiments of the present disclosure to the forms disclosed herein. Although a number of example aspects and embodiments have been discussed above, those skilled in the art will recognize some variations, modifications, changes, additions, and sub-combinations thereof.

Claims

1. A packaging box laminating method, characterized in that: The following steps are involved: Step 1: Place the packaging box to be coated on the conveyor belt of the conveying module, set the conveying direction and conveying speed through the control module, and start the conveying module to convey the packaging box to be coated; Step 2: When the packaging box is transported to the identification and positioning module area, the size, shape and position of the packaging box are detected and identified in real time; The method for real-time detection and recognition of the size, shape and position of a packaging box comprises the following steps: Step 1: Initialize the sensors and cameras in the recognition and positioning module; Step 2: When the packaging box enters the detection area of ​​the identification and positioning module under the drive of the conveying module, the sensor starts to work to measure the height, width and length of the packaging box; Step 3: The sensor sends the collected data to the control module, which calculates the exact size of the packaging box based on the data; Step 4: Use a camera to capture an image of the packaging box, compare and analyze the captured image with a pre-stored standard packaging box shape database, and determine the shape of the packaging box through an image recognition algorithm; Step 5: Determine the position of the packaging box on the conveyor belt by combining sensors and camera image analysis; Step 6: Integrate the identified size, shape and position information of the packaging box into a data packet and send it to the control module; The sensor and camera initialization settings include sensor calibration and camera focus, the sensor includes a photoelectric sensor, a laser ranging sensor and a position sensor, and the image recognition algorithm is a convolutional neural network in a deep learning algorithm; Step 3: The identification and positioning module feeds back the detected packaging box information to the control module in real time. The control module automatically adjusts the operating parameters of the laminating module according to the received packaging box information, and controls the conveying module to convey the packaging box to be laminated to the laminating area; the operating parameters include the working position and angle parameters, temperature parameters and pressure parameters of the laminating module; Step 4: The laminating module automatically adjusts the position and angle to closely fit the laminating material to the packaging box; Step 5: During the laminating process, the monitoring and alarm module monitors the entire laminating process in real time and automatically alarms when an abnormality occurs; Step 6: The package box after lamination is continuously sent out by the conveyor belt of the conveying module and enters the cutting module area. The cutting module automatically adjusts the position and angle of the cutting tool according to the size and shape information of the package box, and accurately cuts the package box after lamination; Step 7: The data management module collects various data in the laminating process in real time and stores them in the database; Step 8: The data analysis module analyzes the collected data and generates statistical information.

2. A packaging box laminating method according to claim 1, characterized in that: In step 4, the method for tightly fitting the laminating material to the packaging box comprises the following steps: Step S1, the laminating mechanism in the laminating module automatically adjusts its working position and angle according to the size and shape information of the packaging box provided by the identification and positioning module; Step S2, the heating element in the coating module starts working according to a preset heating temperature to preheat the coating material; Step S3: When the packaging box is transported to the laminating area, the laminating mechanism applies pressure to the laminating material through a pressure device to cover the preheated laminating material on the surface of the packaging box; Step S4: During the coating process, the system monitors the temperature of the heating element and the pressure value of the pressure device in real time.

3. A packaging box laminating method according to claim 1, characterized in that: The control module uses advanced algorithms and artificial intelligence technology to continuously optimize control strategies based on historical data and real-time feedback.

4. A packaging box laminating method according to claim 1, characterized in that: The coating material is made of biodegradable and environmentally friendly material.

5. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of a packaging box laminating method as described in any one of claims 1 to 4 are implemented.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a packaging box laminating method as claimed in any one of claims 1 to 4 are implemented.

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