Express Carton Packing and Sealing Management System and Method

Abstract

The present application provides an express delivery carton packing and sealing management system and method, which relates to the technical field of packing and sealing management. It verifies the sealing ability of the adhesive performance parameters to obtain the sealing verification freedom degree required for express delivery carton packing and sealing. It monitors the adhesive layer winding process during express delivery carton packing in real time to obtain the adhesive layer winding data, and determines the sealing failure trend during the sealing process of express delivery carton packing through the adhesive layer winding data and the carton material information used during express delivery carton packing. It determines the sealing degradation constraint during the sealing process of express delivery carton packing according to the sealing leakage rate data and the sealing verification freedom degree. It generates the sealing traceability correlation quantity during the express delivery carton packing and sealing management according to the sealing failure trend and the sealing degradation constraint, and queries the quality traceability of the sealing quality during the express delivery carton packing and sealing based on the sealing traceability correlation quantity. The present application can accurately verify the sealing ability during the express delivery carton packing and sealing process to improve the stability of the sealing quality.

Description

Technical Field

[0001] This application relates to the technical field of packaging and sealing management, and more specifically, to a system and method for managing the packaging and sealing of express delivery cartons. Background Art

[0002] Packaging and sealing management refers to a management system that comprehensively monitors, controls, and optimizes tape application, sealing quality, and the sealing process during the packaging of express delivery cartons. The core purpose of this management system is to ensure that the cartons can maintain a stable and secure closed state during transportation, preventing package damage or content leakage caused by seal failure or unevenness. The packaging and sealing management system adjusts process parameters such as tape tension and winding angle in real time by monitoring the adhesion strength of the tape, the state of the adhesive layer winding, and external environmental factors, ensuring that the sealing effect meets the expected standards.

[0003] However, in the existing methods for managing the packaging and sealing of express delivery cartons, there is a lack of precise real-time monitoring of tape performance and the packaging process, and it is impossible to dynamically adjust the key parameters during the sealing process, resulting in instability of sealing quality and frequent occurrence of defects. Problems such as uneven sealing and poor tape adhesion are likely to occur in the existing packaging and sealing of express delivery cartons, thus affecting the safety and transportation efficiency of packages. Therefore, how to accurately verify the sealing ability during the packaging and sealing process of express delivery cartons to improve the stability of sealing quality is an urgent problem to be solved. Summary of the Invention

[0004] This application provides a system and method for managing the packaging and sealing of express delivery cartons, which can accurately verify the sealing ability during the packaging and sealing process of express delivery cartons to improve the stability of sealing quality.

[0005] In the first aspect, this application provides a method for managing the packaging and sealing of express delivery cartons. The packaging and sealing management method includes the following steps:

[0006] Retrieve the adhesive performance parameters of the candidate tape during the packaging and sealing process of the express delivery carton, verify the sealing ability of the adhesive performance parameters, and obtain the sealing verification freedom degree required for the packaging and sealing of the express delivery carton;

[0007] During the automated packaging and sealing process, monitor the adhesive layer winding process during the packaging of the express delivery carton in real time to obtain adhesive layer winding data, and determine the sealing failure trend during the sealing process during the packaging of the express delivery carton based on the adhesive layer winding data and the carton material information used during the packaging of the express delivery carton;

[0008] Identify the sealing defects in the sealed area after the packaging of the express delivery carton to obtain the sealing leakage rate data in the sealed area, and determine the sealing degradation constraint during the sealing process during the packaging of the express delivery carton based on the sealing leakage rate data and the sealing verification freedom degree;

[0009] Generate the sealing traceability correlation quantity during the management of the adhesive sealing of express delivery cartons according to the adhesive sealing failure trend and the adhesive sealing degradation constraint, and perform quality traceability query on the adhesive sealing quality during the adhesive sealing of express delivery cartons based on the sealing traceability correlation quantity.

[0010] In this embodiment, the adhesive performance parameter is an index for measuring the adhesion characteristics of the tape on the surface of the express delivery carton.

[0011] In this embodiment, verifying the adhesive sealing ability of the adhesive performance parameter to obtain the specific degree of freedom for adhesive sealing verification required for the adhesive sealing of express delivery cartons specifically includes:

[0012] Set the boundary of the adhesive ability during the adhesive sealing of express delivery cartons;

[0013] Determine the adhesive strength characteristics in the adhesive sealing of express delivery cartons according to the adhesive ability boundary;

[0014] Determine the specific degree of freedom for adhesive sealing verification required for the adhesive sealing of express delivery cartons through the adhesive strength characteristics and the adhesive performance parameter.

[0015] In this embodiment, the real-time monitoring of the adhesive layer winding process during the adhesive sealing of express delivery cartons to obtain the adhesive layer winding data specifically includes:

[0016] Obtain the initial adhesive layer winding data from the adhesive layer winding process during the adhesive sealing of express delivery cartons;

[0017] Extract the deviation degree of the adhesive layer winding process deviating from the ideal state from the initial adhesive layer winding data;

[0018] Determine the distribution of adhesive sealing defects in the adhesive layer winding process during the adhesive sealing of express delivery cartons according to the deviation degree of the adhesive layer winding;

[0019] Determine the adhesive layer winding data in the adhesive layer winding process during the adhesive sealing of express delivery cartons from the distribution of the adhesive sealing defects.

[0020] In this embodiment, determining the adhesive sealing failure trend in the adhesive sealing process during the adhesive sealing of express delivery cartons through the adhesive layer winding data and the information on the carton material used during the adhesive sealing of express delivery cartons specifically includes:

[0021] Obtain the information on the carton material used during the adhesive sealing of express delivery cartons;

[0022] Determine the adhesive sealing sensitivity in the adhesive sealing process during the adhesive sealing of express delivery cartons according to the carton material information;

[0023] Determine the adhesive sealing failure mark in the adhesive sealing process during the adhesive sealing of express delivery cartons through the adhesive layer winding data;

[0024] Determine the seal failure trend during the seal process when packing the express delivery carton based on the seal sensitivity and the seal failure identification.

[0025] In this embodiment, identifying seal defects in the sealed area after packing the express delivery carton to obtain the seal leakage rate data in the sealed area specifically includes:

[0026] Extract the seal defect features from the sealed area after packing the express delivery carton;

[0027] Generate the seal fusion confidence in the sealed area according to the seal defect features;

[0028] Determine the seal leakage rate data in the sealed area according to the seal fusion confidence.

[0029] In this embodiment, the seal degradation constraint represents the control range of the seal quality during the seal process of packing the express delivery carton.

[0030] In this embodiment, generating the seal traceability correlation quantity during the seal management of packing the express delivery carton according to the seal failure trend and the seal degradation constraint specifically includes:

[0031] Determine the seal failure adjustment information during the seal of packing the express delivery carton according to the seal failure trend;

[0032] Determine the seal defect traceability sample during the seal of packing the express delivery carton according to the seal degradation constraint;

[0033] Associate the seal failure adjustment information and the seal defect traceability sample to obtain the seal traceability correlation quantity during the seal management of packing the express delivery carton.

[0034] In this embodiment, performing quality traceability query on the seal quality during the seal of packing the express delivery carton based on the seal traceability correlation quantity specifically includes:

[0035] Determine the traceability inversion path during the seal quality traceability according to the seal traceability correlation quantity;

[0036] Perform path inversion on the seal quality during the seal of packing the express delivery carton through the traceability inversion path to obtain the interactive traceability features;

[0037] Verify the seal quality through the interactive traceability features and perform quality traceability query.

[0038] In a second aspect, the present application provides a seal management system for packing express delivery cartons, which is used to execute the seal management method for packing express delivery cartons. The packing seal management system includes:

[0039] The glue-sealing ability verification module is used to retrieve the adhesive performance parameters of the candidate tapes during the glue-sealing process of the express delivery carton, verify the glue-sealing ability of the adhesive performance parameters, and obtain the glue-sealing verification freedom degree required for the glue-sealing of the express delivery carton.

[0040] The glue-sealing failure detection module is used to monitor the glue layer winding process during the automatic glue-sealing process of the express delivery carton in real time, obtain the glue layer winding data, and determine the glue-sealing failure trend during the glue-sealing process of the express delivery carton based on the glue layer winding data and the carton material information used during the glue-sealing of the express delivery carton.

[0041] The glue-sealing defect identification module is used to identify the glue-sealing defects in the glue-sealing area after the express delivery carton is packed, obtain the glue-sealing leakage rate data in the glue-sealing area, and determine the glue-sealing degradation constraint during the glue-sealing process of the express delivery carton based on the glue-sealing leakage rate data and the glue-sealing verification freedom degree.

[0042] The glue-sealing quality traceability module is used to generate the glue-sealing traceability correlation quantity during the glue-sealing management of the express delivery carton based on the glue-sealing failure trend and the glue-sealing degradation constraint, and perform quality traceability query on the glue-sealing quality during the glue-sealing of the express delivery carton based on the glue-sealing traceability correlation quantity.

[0043] The technical solution provided by the embodiments disclosed in the present application has the following beneficial effects:

[0044] Retrieve the adhesive performance parameters of the candidate tapes during the glue-sealing process of the express delivery carton, verify the glue-sealing ability of the adhesive performance parameters, and obtain the glue-sealing verification freedom degree required for the glue-sealing of the express delivery carton; during the automatic glue-sealing process, monitor the glue layer winding process during the glue-sealing of the express delivery carton in real time, obtain the glue layer winding data, and determine the glue-sealing failure trend during the glue-sealing process of the express delivery carton based on the glue layer winding data and the carton material information used during the glue-sealing of the express delivery carton; identify the glue-sealing defects in the glue-sealing area after the express delivery carton is packed, obtain the glue-sealing leakage rate data in the glue-sealing area, and determine the glue-sealing degradation constraint during the glue-sealing process of the express delivery carton based on the glue-sealing leakage rate data and the glue-sealing verification freedom degree; generate the glue-sealing traceability correlation quantity during the glue-sealing management of the express delivery carton based on the glue-sealing failure trend and the glue-sealing degradation constraint, and perform quality traceability query on the glue-sealing quality during the glue-sealing of the express delivery carton based on the glue-sealing traceability correlation quantity.

[0045] It can be seen that in this application, defects in the gluing process can be monitored in real time. Among them, by analyzing in detail the adhesive performance parameters of the candidate tapes and verifying the gluing ability, it can be ensured that the selected tapes can provide sufficient adhesion and stability during the packaging of express cartons, reducing the risk of gluing failure caused by improper tape selection, thereby improving the reliability of the gluing quality. By monitoring the tape winding process in real time and analyzing the relationship between the winding data and the carton material information, the trend of gluing failure can be identified and predicted in a timely manner. This process helps to dynamically adjust the packaging process and tape application, reduce gluing defects and failures, and ensure that the packaging is more secure and reliable during transportation. By identifying defects in the glued area after packaging and analyzing the gluing leakage rate data and the gluing verification freedom degree, potential degradation problems in the gluing process can be accurately identified, so as to optimize and adjust the gluing process and avoid the impact of unqualified gluing in production on the safety of the package. By generating the gluing traceability correlation quantity according to the gluing failure trend and degradation constraints and conducting quality traceability queries, the whole process tracking during the gluing process can be realized.

[0046] In summary, the technical solution adopted in this application can accurately verify the gluing ability during the packaging of express cartons to improve the stability of the gluing quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0048] Figure 1 is a flowchart of the express carton packaging gluing management method provided by the present application;

[0049] Figure 2 is a schematic flow diagram for determining the tape winding data provided by the present application;

[0050] Figure 3 is a schematic flow diagram for determining the gluing degradation constraints provided by the present application;

[0051] Figure 4 is a module structure diagram of the express carton packaging gluing management system provided by the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0052] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present application.

[0053] The embodiment of the present application provides an express delivery carton packing and sealing management system and method. The core is to retrieve the adhesive performance parameters of the candidate tapes during the packing and sealing process of the express delivery cartons, verify the sealing ability of the adhesive performance parameters, and obtain the sealing verification freedom degree required for the packing and sealing of the express delivery cartons; during the automated packing and sealing process, the winding process of the adhesive layer during the packing of the express delivery cartons is monitored in real time to obtain the adhesive layer winding data, and the sealing failure trend during the sealing process is determined based on the adhesive layer winding data and the carton material information used during the packing of the express delivery cartons; the sealing defects in the sealed area after the packing of the express delivery cartons are identified to obtain the sealing leakage rate data in the sealed area, and the sealing degradation constraint during the sealing process is determined based on the sealing leakage rate data and the sealing verification freedom degree; the sealing traceability correlation quantity during the packing and sealing management of the express delivery cartons is generated based on the sealing failure trend and the sealing degradation constraint, and the quality traceability query of the sealing quality during the packing and sealing of the express delivery cartons is carried out based on the sealing traceability correlation quantity.

[0054] Embodiment 1. To better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the specification drawings and specific implementation manners. Refer to Figure 1 As shown, this figure is an exemplary flowchart of the express delivery carton packing and sealing management method according to this embodiment of the present application. The packing and sealing management method includes the following steps:

[0055] In step S1, the adhesive performance parameters of the candidate tapes during the packing and sealing process of the express delivery cartons are retrieved, and the sealing ability of the adhesive performance parameters is verified to obtain the sealing verification freedom degree required for the packing and sealing of the express delivery cartons.

[0056] In specific implementation, the adhesive performance parameters of the candidate tapes during the packaging and sealing process of express delivery cartons can be obtained in the following way: First, select the candidate tapes and obtain their technical parameters, including adhesive type, substrate thickness, ductility, etc. Second, in a laboratory environment, use a tensile testing machine, a peel tester, and a shear strength tester to measure four key performance indicators: peel strength, shear strength, initial adhesion, and holding power. Among them, the peel strength is used to measure the adhesion ability of the tape to the surface of the carton, the shear strength reflects the ability of the tape to resist slippage, the initial adhesion represents the instantaneous adhesion of the tape, and the holding power is used to evaluate the stability after withstanding external forces for a long time. At the same time, repeat the tests under different temperature and humidity conditions to obtain environmental adaptability data. Finally, analyze the experimental data and combine with the actual packaging working conditions to screen the tapes that meet the adhesion requirements, form an adhesive performance parameter database, and obtain the adhesive performance parameters of the candidate tapes during the packaging and sealing process of express delivery cartons from the adhesive performance parameter database.

[0057] It should be noted that in this application, the candidate tape refers to an alternative tape type for evaluating whether the adhesive performance of the tape meets the application requirements during the packaging and sealing of express delivery cartons; the adhesive performance parameter is an index used to measure the adhesion characteristics of the tape on the surface of the express delivery carton.

[0058] In this embodiment, to verify the sealing ability of the adhesive performance parameters and obtain the sealing verification freedom degree required for the packaging and sealing of express delivery cartons, the following steps can be implemented:

[0059] Set the adhesive ability boundary during the packaging and sealing of express delivery cartons;

[0060] Determine the adhesive strength characteristics during the packaging of express delivery cartons according to the adhesive ability boundary;

[0061] Determine the sealing verification freedom degree required for the packaging and sealing of express delivery cartons through the adhesive strength characteristics and the adhesive performance parameters.

[0062] In specific implementation, first, common express delivery carton materials are selected, such as corrugated cartons, kraft paper cartons, etc., and their surface roughness, hygroscopicity, and fiber structure are measured to determine the influence on adhesives; according to industry standards or experimental data, the minimum adhesion strength, minimum shear strength, and shortest holding time of the tape on the carton surface are set to ensure that the adhesive seal does not fail during storage and transportation; experiments are conducted on the tape adhesion at different temperatures, humidities, and pressures, and the limit use conditions are set, such as the minimum adhesion strength requirement in a high-humidity environment, to form the adhesive ability boundary. Then, a peel tester or a shear tester is used to test the adhesion of different candidate tapes on the carton surface, and key parameters such as adhesion strength, shear strength, and holding time are extracted. Combining with the adhesive ability boundary, the test results are compared with the standard requirements, and the tapes that meet the requirements are selected, and their adhesion characteristics are summarized, such as the minimum peel strength, maximum holding time, etc.; an adhesive strength characteristic model is established through regression analysis, and the adhesive strength characteristics are output from the adhesive strength characteristic model. Finally, analysis of variance is used to evaluate the fluctuation range of the adhesive strength characteristics and adhesive performance parameters under different working conditions, and this fluctuation range is used as the allowable parameter change interval, and the ratio of the adhesive strength characteristics and adhesive performance parameters within this parameter change interval is used as the adhesive seal verification degree of freedom.

[0063] It should be noted that in this application, the adhesive ability boundary represents the minimum performance standard for the tape to maintain effective adhesion under specific carton materials and environmental conditions; the adhesive strength characteristic represents the core performance parameter of the tape when adhering to the express delivery carton surface; the adhesive seal verification degree of freedom represents the acceptable variation range of the tape adhesion parameters under the condition of ensuring the adhesive seal quality.

[0064] In step S2, during the automated packaging and adhesive sealing process, the adhesive layer winding process during the packaging of the express delivery carton is monitored in real time to obtain the adhesive layer winding data, and the adhesive seal failure trend during the adhesive sealing process during the packaging of the express delivery carton is determined based on the adhesive layer winding data and the carton material information used during the packaging of the express delivery carton.

[0065] Preferably, in this embodiment, the adhesive layer winding process during the packaging of the express delivery carton is monitored in real time to obtain the adhesive layer winding data. Refer to Figure 2 As shown, this figure is a schematic flow chart for determining the adhesive layer winding data in some embodiments of this application. In this embodiment, the adhesive layer winding data can be determined by the following steps:

[0066] In step S21, the initial adhesive layer winding data is obtained from the adhesive layer winding process during the packaging of the express delivery carton;

[0067] In step S22, the adhesive layer winding deviation degree of the adhesive layer winding process deviating from the ideal state is extracted from the initial adhesive layer winding data;

[0068] In step S23, according to the deviation degree of the adhesive layer winding, determine the distribution of adhesive sealing defects during the adhesive layer winding when packing the express delivery carton;

[0069] In step S24, determine the adhesive layer winding data during the adhesive layer winding when packing the express delivery carton from the distribution of the adhesive sealing defects.

[0070] When specifically implemented, first, install a high-definition camera, a laser rangefinder or an infrared sensor on the automatic packing device to record the winding trajectory of the tape on the express delivery carton in real time. Use a high-frame-rate video acquisition system to digitalize the parameters such as the winding path, angle, tension, and overlapping width of the tape during the packing process. Through OpenCV edge detection or sensor feedback, extract the laying trajectory of each layer of tape to form the initial adhesive layer winding data. Then, set the ideal tape winding path, that is, the standard trajectory, angle, overlapping width and other parameters that the tape should follow, and through computer vision algorithms, such as morphological analysis or sensor data comparison, analyze the deviation between the actual winding trajectory and the ideal state, and then calculate the key deviation indicators, such as the tape tilt angle error, overlapping width deviation, tape tightness change, etc., and perform normalization processing to form the deviation degree of the adhesive layer winding. Then, according to the deviation degree of the adhesive layer winding, judge which areas of the tape are abnormal, such as insufficient tape overlap, excessive tape overlap or tape slack, and then use the K-Means algorithm or the defect detection neural network to classify the areas with large adhesive sealing deviations to generate a defect distribution map. Mark each defect area according to different types of adhesive sealing defects, such as bubbles, warping, uneven overlap, and output the adhesive sealing defect distribution data, that is, the adhesive sealing defect distribution. Finally, combine the adhesive sealing defect distribution information, summarize the data such as the winding deviation and tape overlap situation of each adhesive sealing area to form the complete adhesive layer winding data, and then analyze the adhesive layer winding data through a decision tree model or a Bayesian classifier to predict the tape winding trend under different tape materials, carton types and packing conditions, and input the adhesive layer winding data into the automatic packing control system to dynamically adjust the tape tension, sticking angle and pressure parameters of the packing device to optimize the subsequent packing quality.

[0071] It should be noted that in this application, the initial adhesive layer winding data represents the original tape winding trajectory, angle and tension obtained through sensors or image processing technology during the adhesive sealing process of packing the express delivery carton; the deviation degree of the adhesive layer winding represents the error value of the actual winding state of the tape for packing the express delivery carton compared with the ideal winding state; the adhesive sealing defect distribution represents the statistical data of tape sticking defects that occur in different areas during the adhesive sealing process of the express delivery carton; the adhesive layer winding data represents the data set that characterizes the tape winding situation of the express delivery carton after filtering out deviations and defects during the tape winding process.

[0072] In this embodiment, the determination of the glue sealing failure trend during the glue sealing process of the express delivery carton when packing with the glue layer winding data and the carton material information used for packing the express delivery carton can be achieved by the following steps:

[0073] Obtain the carton material information used when packing the express delivery carton;

[0074] Determine the glue sealing sensitivity during the glue sealing process of the express delivery carton according to the carton material information;

[0075] Determine the glue sealing failure identification during the glue sealing process of the express delivery carton through the glue layer winding data;

[0076] Determine the glue sealing failure trend during the glue sealing process of the express delivery carton from the glue sealing sensitivity and the glue sealing failure identification.

[0077] When specifically implemented, first, obtain the material information of the express delivery carton through the supply chain database or ERP system, including the material type, thickness, surface coating condition, etc.; install a paper detection sensor on the automated packing equipment to detect the key parameters of the carton material in real time, such as surface roughness, moisture permeability, fiber density, etc., and combine the material characteristic data provided by the carton manufacturer to establish a material database for different carton types, and obtain the carton material information from the material database. Then, based on the physical properties of different carton materials, such as surface roughness, moisture permeability, and fiber structure, analyze their influence on the adhesion performance of the tape, and then use an adhesion force test experiment to measure the peel strength, shear strength, and holding time of different materials under the same tape adhesion, and summarize their glue sealing reliability. Calculate the glue sealing regression information of different carton materials through multiple regression analysis, and use this glue sealing regression information as the glue sealing sensitivity. Then, based on the glue layer winding data, detect possible abnormalities during the tape pasting process, such as excessive or too small winding tension, insufficient tape overlap, air bubbles or warping, etc., use computer vision algorithms to analyze the glue sealing area, identify the characteristic patterns that may cause glue sealing failure, and set the judgment criteria for glue sealing failure, such as the peel strength being lower than the set value and the adhesion area being smaller than the standard range, and generate a glue sealing failure identification based on different failure situations, mark the high-risk areas, and use the high-risk areas as the glue sealing failure identification during the glue sealing process of the express delivery carton. Finally, use the chi-square test to evaluate the glue sealing stability of various carton materials under different packing conditions, extract the failure modes, and then use the LSTM time series prediction model to perform trend modeling on the historical glue sealing data to predict the possibility of glue sealing failure of different carton materials during future express delivery transportation, that is, obtain the glue sealing failure trend during the glue sealing process of the express delivery carton.

[0078] It should be noted that in this application, the carton material information represents the material characteristic parameters of the express carton; the tape sealing sensitivity represents the influence degree of different carton materials on the tape adhesion strength and tape sealing stability; the tape sealing failure mark refers to the potential tape sealing defect information in the tape sealing of the express carton; the tape sealing failure trend refers to the change trend of the tape sealing reliability during the tape sealing process of the express carton.

[0079] In step S3, identify the tape sealing defects in the tape sealing area after the express carton is packed to obtain the tape sealing leakage rate data in the tape sealing area, and determine the tape sealing degradation constraint during the tape sealing process when the express carton is packed according to the tape sealing leakage rate data and the tape sealing verification degree of freedom.

[0080] In this embodiment, identifying the tape sealing defects in the tape sealing area after the express carton is packed to obtain the tape sealing leakage rate data in the tape sealing area can be achieved by the following steps:

[0081] Extract the tape sealing defect features from the tape sealing area after the express carton is packed;

[0082] Generate the tape sealing fusion confidence in the tape sealing area according to the tape sealing defect features;

[0083] Determine the tape sealing leakage rate data in the tape sealing area according to the tape sealing fusion confidence.

[0084] Specifically, first, install a high-definition industrial camera or an infrared detection device on the automated packaging production line to collect high-resolution images of the tape-sealed area after packaging. Use computer vision algorithms to segment the tape-sealed area and extract the tape edge features. Based on deep learning object detection algorithms, identify common tape-sealing defects, such as tape warping, bubbles, insufficient overlap, fractures, etc., and quantify the defect area, length, and position distribution. Take the quantified results as the tape-sealing defect features. Then, according to the influence degree of different tape-sealing defects on the overall packaging reliability, set different weight values. For example, the defect weight of a complete fracture is the highest, and the weights of bubbles or insufficient overlap are relatively low. Use Bayesian inference or a neural network model to analyze defect parameters such as defect area, position, and edge strength, and calculate the overall reliability score of the tape-sealed area, that is, the tape-sealing fusion confidence. Normalize the calculated tape-sealing fusion confidence to between 0 and 1, and set a threshold to judge whether the packaging quality is qualified. Finally, based on the tape-sealing fusion confidence, analyze the influence of different defect types on the tape sealing performance, establish a defect influence factor model, and combine the experimental data of sealing pressure testing and airtightness detection to establish a tape-sealing leakage rate data calculation formula: tape-sealing leakage rate data = tape-sealing fusion confidence ÷ tape-sealing defect area, where the tape-sealing defect area can be detected and calculated by an infrared sensor.

[0085] It should be noted that in this application, the glued area after the express carton is packed refers to the area where the tape is wound during the packing of the express carton; the glued defect feature refers to the defect information generated due to abnormal adhesion of the tape in the glued area; the glued fusion confidence level represents the overall reliability degree of the glued area; and the glued leakage rate data represents the probability of unsealing in the glued area during the gluing process of the express carton packing.

[0086] Preferably, in this embodiment, according to the glued leakage rate data and the glued verification degree of freedom, the glued degradation constraint during the gluing process when the express carton is packed is determined, with reference to Figure 3 As shown, this figure is a schematic flowchart of determining the glued degradation constraint in some embodiments of this application. The determination of the glued degradation constraint in this embodiment can be implemented by the following steps:

[0087] In step S31, based on the pressure sensitivity coefficient in the glued leakage rate data and the parameter fluctuation range in the glued verification degree of freedom, a degradation constraint quantity during the gluing process when the express carton is packed is constructed;

[0088] In step S32, a sensitivity ranking is performed on the degradation constraint quantity to obtain a glued degradation set;

[0089] In step S33, according to the glued degradation set, the glued parameter tolerance during the gluing process when the express carton is packed is determined;

[0090] In step S34, according to the glued parameter tolerance, the glued degradation constraint during the gluing process when the express carton is packed is determined.

[0091] In specific implementation, first, extract the pressure sensitivity coefficient from the glue seal leakage rate data. The pressure sensitivity coefficient in the glue seal leakage rate data represents the decrease in the sealing ability caused by the influence of pressure on the glue seal, and can be measured through the sealing pressure-air leakage rate curve experiment; extract the fluctuation ranges of different glue seal parameters, such as tape tension, winding layer number, adhesion area, etc. from the glue seal calibration freedom data, judge the influence of parameter changes on the glue seal quality, and use regression analysis to establish the mathematical relationship between the glue seal pressure sensitivity coefficient and the parameter fluctuation range, that is, multiply the glue seal pressure sensitivity coefficient by the average value within the parameter fluctuation range, and use the product as the degradation constraint amount during the glue sealing process when packing express delivery cartons. Next, calculate the influence degree of each glue seal parameter, such as tension, overlap width, adhesion force, etc. on the glue seal degradation, use principal component analysis to determine the influence weight of each glue seal parameter, and according to the calculated influence weight, sort the parameters involved in the degradation constraint amount to determine the most significant factor affecting the glue seal degradation, and classify the high-sensitivity parameters into the glue seal degradation set. Then, extract the actual measured values of each parameter from the glue seal degradation set, and combine with the production standard to determine the normal range of the parameters under different conditions, use standard deviation analysis to calculate the reasonable fluctuation range of the glue seal parameters, that is, the optimal value, to ensure that the glue seal quality meets the standard, and according to the industry standard and experimental data, determine the maximum and minimum deviation ranges of the parameters, that is, the allowable fluctuation range, and generate the glue seal parameter tolerance, that is, glue seal parameter tolerance = (optimal value ± allowable fluctuation range). Finally, based on the historical data of the glue seal parameter tolerance and the degradation constraint amount, construct a regression model, calculate the degradation degree under different parameter combinations, analyze the influence of the parameters on the glue seal degradation through decision tree, and use the result of the decision tree analysis as the glue seal degradation constraint during the glue sealing process when packing express delivery cartons. Then, during the automatic packing process, real-time monitor the glue seal parameters and dynamically adjust the glue seal process according to the tolerance range to reduce the degradation risk.

[0092] It should be noted that in this application, the parameter fluctuation range in the glue seal calibration freedom represents the change ranges of tape tension, winding layer number, and adhesion area; the degradation constraint amount represents an index for measuring the change trend of the reliability of the glue sealing process; the glue seal degradation set represents a set of glue seal effects with relatively large changes in glue seal quality; the glue seal parameter tolerance represents the allowable fluctuation range of each key parameter during the glue sealing process; the glue seal degradation constraint represents the control range of the glue seal quality during the glue sealing process of packing express delivery cartons.

[0093] In step S4, generate a glue seal traceability correlation quantity for the glue sealing management of packing express delivery cartons according to the glue seal failure trend and the glue seal degradation constraint, and perform quality traceability query on the glue seal quality when packing express delivery cartons based on the glue seal traceability correlation quantity.

[0094] In this embodiment, generating the glue seal traceability correlation quantity for the glue sealing management of packing express delivery cartons according to the glue seal failure trend and the glue seal degradation constraint can be implemented by the following steps:

[0095] Determine the sealing failure adjustment information during the sealing of express delivery cartons according to the sealing failure trend;

[0096] Determine the sealing defect traceability samples during the sealing of express delivery cartons according to the sealing degradation constraint;

[0097] Associate the sealing failure adjustment information with the sealing defect traceability samples to obtain the sealing traceability correlation quantity during the management of the sealing of express delivery cartons.

[0098] In specific implementation, first, based on the sealing failure trend, analyze the relationships between failure modes such as tape peeling off and poor adhesion during the sealing process and humidity and temperature, and identify the sealing failure adjustment information through the failure modes. That is, when the failure trend indicates too high humidity, adjust the adhesion strength of the tape; when it is found that the winding is uneven, adjust the tension of the automatic packing machine. Then, extract the defect data in the sealing area from the quality inspection system during the packing process of express delivery cartons. This defect data comes from the vision inspection system, sensors or real-time scanning data. According to the sealing degradation constraint, identify the key parameters and process stages where the defects occur. For example, a certain specific sealing defect may be related to too high pressure or too small tape tension during packing, and associate the defect data extracted from different packing batches with the relevant degradation constraint information to construct a traceability sample library containing information such as defect type, location, and process parameters. Use machine learning algorithms to classify the defect data and identify the relationships between different types of defects and the sealing degradation constraint, that is, obtain the sealing defect traceability samples. Finally, associate the sealing failure adjustment information with the sealing defect traceability samples to form a multi-dimensional data set. For example, combine the sealing defect location with the specific modification parameters in the adjustment information to determine the matching degree between the failure cause and the adjustment plan, and use the data fusion result to establish a sealing traceability model. This sealing traceability model will predict the change trend of the sealing quality according to the real-time defect detection data and adjustment information, and propose corresponding process adjustments. Through model derivation, calculate the sealing traceability correlation quantity. This sealing traceability correlation quantity synthesizes information such as failure mode, degradation constraint, defect location, and adjustment plan, and the sealing traceability correlation quantity can be quantified into a scoring system, indicating the traceability of the sealing quality.

[0099] It should be noted that in this application, the sealing failure adjustment information represents the data for correcting the bad conditions during the sealing process; the sealing defect traceability samples represent the sample set composed of different sealing defect data; the sealing traceability correlation quantity represents the degree of quality traceability during the sealing process.

[0100] In this embodiment, the quality traceability query of the sealing quality during the sealing of express delivery cartons according to the sealing traceability correlation quantity can be implemented by the following steps:

[0101] Determine the traceability inversion path during the traceability of the glue sealing quality according to the glue sealing traceability correlation quantity;

[0102] Perform path inversion on the glue sealing quality during the packaging of the express delivery carton through the traceability inversion path to obtain interactive traceability features;

[0103] Verify the glue sealing quality through the interactive traceability features and perform quality traceability queries.

[0104] In specific implementation, first, extract key data from the glue sealing traceability correlation quantity, including failure adjustment information, defect traceability samples, process parameters, etc. According to the glue sealing traceability correlation quantity, analyze the influencing factors of glue sealing quality degradation and establish a traceability inversion path. For example, trace back to specific production links, including the tape tension of the packaging machine or environmental humidity, and generate a traceability inversion path. This traceability inversion path shows the causal relationship between glue sealing failure and influencing factors. Use a causal inference model to construct the inversion path. This traceability inversion path reasons backward from the final result of the defect occurrence to specific process links or parameter settings. Then, use the traceability inversion path to gradually trace the process parameters in each production link. Through the data inversion algorithm, gradually trace back the specific influence of each step in the glue sealing process and record all variables that affect the glue sealing quality; by analyzing the correlations between multiple process links, identify interaction features. For example, the interaction between humidity and tape tension may jointly affect the glue sealing quality. Use statistical methods such as multiple regression analysis and correlation analysis to identify interaction features. Through the path inversion results, form specific interactive traceability features. These interactive traceability features describe the mutual influence of different process parameters during the glue sealing process and their contributions to the final quality. Finally, use the interactive traceability features to verify the influence of each process link on the glue sealing quality. Through experiments or simulation tests, verify whether the interactive traceability features meet the expected quality standards. Among them, the verification method can use A / B testing or experimental design methods. Establish a quality database and match the interactive traceability features during the verification process with historical data for query. Use database query languages or graph databases to trace back quality problems by querying the matching degree between the interactive traceability features and actual glue sealing quality data. According to the results of the traceability query, adjust the production process to ensure that the glue sealing quality meets the standards. If it is found that certain parameter combinations or interaction features cause quality fluctuations, real-time adjustments can be made.

[0105] It should be noted that in this application, the traceability inversion path represents a path that reflects the reasons for the degradation of glue sealing quality established through reverse reasoning based on the glue sealing traceability correlation quantity; the interactive traceability features represent the features of the interaction between different process links identified during the inversion path process; the quality traceability query is based on the interactive traceability features and historical data, and uses query tools to trace and analyze glue sealing quality problems to find the root cause and optimize the process.

[0106] It can be seen that in this application, defects in the gluing process can be monitored in real time; among them, by analyzing the adhesive performance parameters of the candidate tape in detail and verifying the gluing ability, it can be ensured that the selected tape can provide sufficient adhesion and stability during the packaging of express cartons, reducing the risk of gluing failure caused by improper tape selection, thereby improving the reliability of the gluing quality. By monitoring the tape winding process in real time and analyzing the relationship between the winding data and the carton material information, the trend of gluing failure can be identified and predicted in a timely manner. This process helps to dynamically adjust the packaging process and tape application, reduce gluing defects and failures, and ensure that the packaging is more secure and reliable during transportation. By identifying defects in the glued area after packaging and analyzing the glue leakage rate data and the glue verification freedom degree in combination, potential degradation problems in the gluing process can be accurately identified, so as to optimize and adjust the gluing process and avoid the impact of unqualified gluing in production on the safety of packages. By generating a glue sealing traceability correlation quantity according to the glue sealing failure trend and degradation constraints and performing quality traceability queries, the whole process of the glue sealing process can be tracked.

[0107] In summary, the technical solution adopted in this application can accurately verify the gluing ability during the packaging of express cartons to improve the stability of the gluing quality.

[0108] Embodiment 2. The present application provides a management system for gluing and sealing express cartons. Refer to Figure 4 As shown in the figure, which is a module structure diagram of the management system for gluing and sealing express cartons according to this embodiment of the present application, the gluing and sealing management system includes:

[0109] A glue sealing ability verification module 100, which is used to retrieve the adhesive performance parameters of the candidate tape during the gluing and sealing process of express cartons, verify the glue sealing ability of the adhesive performance parameters, and obtain the glue sealing verification freedom degree required for the gluing and sealing of express cartons;

[0110] A glue sealing failure detection module 200, which is used to monitor the tape winding process during the automatic gluing and sealing process of express cartons in real time, obtain tape winding data, and determine the glue sealing failure trend during the gluing and sealing process of express cartons based on the tape winding data and the carton material information used during the packaging of express cartons;

[0111] A glue sealing defect identification module 300, which is used to identify glue sealing defects in the glued area after the packaging of express cartons, obtain the glue leakage rate data in the glued area, and determine the glue sealing degradation constraint during the gluing and sealing process of express cartons based on the glue leakage rate data and the glue sealing verification freedom degree;

[0112] The glue-sealing quality traceability module 400 is used to generate a glue-sealing traceability correlation quantity for the management of the glue-sealing of express cartons according to the glue-sealing failure trend and the glue-sealing degradation constraint, and perform quality traceability queries on the glue-sealing quality during the glue-sealing of express cartons based on the glue-sealing traceability correlation quantity.

[0113] This application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams can be implemented by computer program instructions, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can also be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the functions specified in one or more of the following Figure 1 one or more flows and / or blocks Figure 1 or a device for implementing the functions specified in one or more of the following blocks.

[0114] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing relevant hardware through a program, and this program can be stored in a computer-readable storage medium. The storage medium includes read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc memories, magnetic disk memories, tape memories, or any other medium that can be used to carry or store data and is computer-readable.

[0115] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, commodity or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or elements inherent to such process, method, commodity or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, commodity or device comprising the element.

Claims

1. A method for managing the adhesive sealing of express delivery cartons, characterized in that, The described packing and sealing management method includes the following steps: Retrieve the adhesive performance parameters of the candidate tapes during the packing and sealing process of the express delivery cartons, verify the sealing ability of the adhesive performance parameters, and obtain the sealing verification freedom degree required for the packing and sealing of the express delivery cartons; During the automated packing and sealing process, monitor the adhesive layer winding process during the packing of the express delivery cartons in real time to obtain the adhesive layer winding data, and determine the sealing failure trend during the sealing process of the express delivery cartons based on the adhesive layer winding data and the carton material information used during the packing of the express delivery cartons; Identify the sealing defects in the sealed area after the packing of the express delivery cartons to obtain the sealing leakage rate data in the sealed area, and determine the sealing degradation constraint during the sealing process of the express delivery cartons based on the sealing leakage rate data and the sealing verification freedom degree; Generate the sealing traceability correlation quantity during the packing and sealing management of the express delivery cartons based on the sealing failure trend and the sealing degradation constraint, and perform quality traceability query on the sealing quality during the packing and sealing of the express delivery cartons according to the sealing traceability correlation quantity; Among them, verifying the sealing ability of the adhesive performance parameters to obtain the sealing verification freedom degree required for the packing and sealing of the express delivery cartons specifically includes: Set the adhesive ability boundary during the packing and sealing of the express delivery cartons; Determine the adhesive strength characteristics during the packing of the express delivery cartons according to the adhesive ability boundary; Determine the sealing verification freedom degree required for the packing and sealing of the express delivery cartons through the adhesive strength characteristics and the adhesive performance parameters; Among them, determining the sealing degradation constraint during the sealing process of the express delivery cartons based on the sealing leakage rate data and the sealing verification freedom degree specifically includes: Based on the pressure sensitivity coefficient in the sealing leakage rate data and the parameter fluctuation range in the sealing verification freedom degree, construct the degradation constraint quantity during the sealing process of the express delivery cartons; Sort the sensitivity of the degradation constraint quantity to obtain the sealing degradation set; Determine the sealing parameter tolerance during the sealing process of the express delivery cartons according to the sealing degradation set; Determine the sealing degradation constraint during the sealing process of the express delivery cartons according to the sealing parameter tolerance; Among them, generating the sealing traceability correlation quantity during the packing and sealing management of the express delivery cartons based on the sealing failure trend and the sealing degradation constraint specifically includes: Determine the sealing failure adjustment information during the packing and sealing of the express delivery cartons according to the sealing failure trend; Determine the sealing defect traceability sample during the packing and sealing of the express delivery cartons according to the sealing degradation constraint; Associate the sealing failure adjustment information and the sealing defect traceability sample to obtain the sealing traceability correlation quantity during the packing and sealing management of the express delivery cartons.

2. The express delivery carton packing and sealing management method according to claim 1, characterized in that, The adhesive performance parameter is an index used to measure the adhesion characteristics of the tape on the surface of the express delivery carton.

3. The express delivery carton packing and sealing management method according to claim 1, characterized in that Monitoring the adhesive layer winding process during the packing of the express delivery cartons in real time to obtain the adhesive layer winding data specifically includes: Obtain the initial adhesive layer winding data from the adhesive layer winding process during the packing of the express delivery cartons; Extract the adhesive layer winding deviation degree of the adhesive layer winding process deviating from the ideal state from the initial adhesive layer winding data; Determine the sealing defect distribution during the adhesive layer winding process during the packing of the express delivery cartons according to the adhesive layer winding deviation degree; Determine the adhesive layer winding data during the adhesive layer winding process when packing the express delivery carton based on the distribution of the adhesive sealing defects.

4. The express delivery carton packing and sealing management method according to claim 1, characterized in that, Determining the adhesive sealing failure trend during the adhesive sealing process when packing the express delivery carton through the adhesive layer winding data and the carton material information used when packing the express delivery carton specifically includes: Obtain the carton material information used when packing the express delivery carton; Determine the adhesive sealing sensitivity during the adhesive sealing process when packing the express delivery carton according to the carton material information; Determine the adhesive sealing failure identifier during the adhesive sealing process when packing the express delivery carton through the adhesive layer winding data; Determine the adhesive sealing failure trend during the adhesive sealing process when packing the express delivery carton from the adhesive sealing sensitivity and the adhesive sealing failure identifier.

5. The express delivery carton packing and sealing management method according to claim 1, characterized in that Perform adhesive sealing defect identification on the adhesive sealing area after packing the express delivery carton to obtain the adhesive sealing leakage rate data in the adhesive sealing area, specifically including: Extract the adhesive sealing defect features from the adhesive sealing area after packing the express delivery carton; Generate the adhesive sealing fusion confidence quantity in the adhesive sealing area according to the adhesive sealing defect features; Determine the adhesive sealing leakage rate data in the adhesive sealing area according to the adhesive sealing fusion confidence quantity.

6. The express delivery carton packing and sealing management method according to claim 1, wherein, The adhesive sealing degradation constraint represents the control range of the adhesive sealing quality during the adhesive sealing process of packing the express delivery carton.

7. The express delivery carton packing and sealing management method according to claim 1, wherein Performing quality traceability query on the adhesive sealing quality when packing the express delivery carton based on the adhesive sealing traceability correlation quantity specifically includes: Determine the traceability inversion path during adhesive sealing quality traceability according to the adhesive sealing traceability correlation quantity; Perform path inversion on the adhesive sealing quality when packing the express delivery carton through the traceability inversion path to obtain the interactive traceability features; Verify the adhesive sealing quality through the interactive traceability features and perform quality traceability query.

8. A courier carton packing and sealing management system for implementing the courier carton packing and sealing management method according to any one of claims 1 to 7, characterized in that, The packing adhesive sealing management system includes: An adhesive sealing ability verification module, which is used to retrieve the adhesive performance parameters of the candidate tape during the adhesive sealing process of packing the express delivery carton, verify the adhesive sealing ability of the adhesive performance parameters, and obtain the adhesive sealing verification freedom degree required for packing the express delivery carton; An adhesive sealing failure detection module, which is used to monitor the adhesive layer winding process when packing the express delivery carton in real time during the automatic packing adhesive sealing process, obtain the adhesive layer winding data, and determine the adhesive sealing failure trend during the adhesive sealing process when packing the express delivery carton through the adhesive layer winding data and the carton material information used when packing the express delivery carton; An adhesive sealing defect identification module, which is used to perform adhesive sealing defect identification on the adhesive sealing area after packing the express delivery carton, obtain the adhesive sealing leakage rate data in the adhesive sealing area, and determine the adhesive sealing degradation constraint during the adhesive sealing process when packing the express delivery carton according to the adhesive sealing leakage rate data and the adhesive sealing verification freedom degree; An adhesive sealing quality traceability module, which is used to generate the adhesive sealing traceability correlation quantity during the management of packing the express delivery carton according to the adhesive sealing failure trend and the adhesive sealing degradation constraint, and perform quality traceability query on the adhesive sealing quality when packing the express delivery carton based on the adhesive sealing traceability correlation quantity.

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