A paper ring label processing quality detection method and device

Abstract

The present application provides a method and device for detecting the processing quality of paper ring labels, which relates to the field of quality detection technology, including: configuring processing monitoring nodes, and configuring linkage sampling constraints; establishing an intelligent collection system mapped to the processing monitoring nodes; establishing timing monitoring results; activating linkage sampling constraints, generating timing monitoring feedback, and establishing monitoring concerns of the intelligent collection system; establishing additional timing monitoring results; configuring a simulation test system for bonding and tearing off, and establishing functional test results; generating processing quality detection results of paper ring labels. The present application can solve the technical problem in the prior art that the quality detection results are inaccurate due to the lack of timing correlation analysis of production anomalies. By using advanced intelligent collection systems and linkage sampling constraints, monitoring concerns are configured to perform quality inspections, thereby improving the quality inspection accuracy and efficiency in the production process of paper ring labels, thereby improving the technical effect of product quality.

Description

Technical Field

[0001] The present application relates to the technical field of quality inspection, and in particular to a method and device for inspecting the processing quality of a paper ring label. Background Art

[0002] Paper ring labels are paper ring-shaped labels used for labeling, marking or identification. They are often used in commodity packaging to display information. In traditional paper ring label production, multiple steps are usually involved, such as material preparation, printing, die-cutting and packaging. In these steps, the process parameters of each link may affect the quality of the final product. Therefore, it is very necessary to establish an accurate monitoring and feedback mechanism.

[0003] In the existing paper ring label production process, the monitoring of production quality usually relies on regular manual inspection or fixed sensor monitoring. However, paper ring label production includes multiple process flows, and the abnormality of any process node may be associated with the upstream and downstream production processes. The existing technology lacks time-series correlation analysis of production abnormalities, resulting in inaccurate quality inspection results. Summary of the invention

[0004] The purpose of this application is to provide a method and device for detecting the processing quality of paper ring labels, so as to solve the technical problem in the prior art that the quality detection results are inaccurate due to the lack of time-series correlation analysis of production anomalies.

[0005] In view of the above problems, the present application provides a method and device for detecting the processing quality of a paper ring label.

[0006] In the first aspect, the present application provides a method for detecting the processing quality of a paper ring label, which is implemented by a paper ring label processing quality detection device, wherein the method for detecting the processing quality of a paper ring label includes: obtaining the production process of the paper ring label, configuring the processing monitoring node based on the production process, and configuring the linkage sampling constraint of the processing monitoring node, wherein the linkage sampling constraint has a time window identifier; establishing an intelligent acquisition system mapped with the processing monitoring node, wherein the intelligent acquisition system includes an image acquisition unit and a laser ranging unit; activating the intelligent acquisition system to execute the production of the paper ring label. Monitor and establish timing monitoring results; activate linkage sampling constraints through the timing monitoring results, generate timing monitoring feedback through the linkage sampling constraints, and establish monitoring concerns of the intelligent collection system through the timing monitoring feedback; control the intelligent collection system to collect data based on the monitoring concerns, and establish additional timing monitoring results; configure a simulation test system for fitting and tearing, and after sampling the paper ring labels, evaluate the fit and tearability of the sampling results based on the simulation test system, and establish functional test results; generate processing quality inspection results of paper ring labels based on the timing monitoring results, additional timing monitoring results, and functional test results.

[0007] In the second aspect, the present application also provides a paper ring label processing quality detection device, which is used to execute a paper ring label processing quality detection method as described in the first aspect, wherein the paper ring label processing quality detection device includes: a linkage sampling constraint configuration module, which is used to obtain the production and processing process of the paper ring label, configure the processing monitoring node based on the production and processing process, and configure the linkage sampling constraint of the processing monitoring node, and the linkage sampling constraint has a time window identifier; an acquisition system establishment module, which is used to establish an intelligent acquisition system mapped with the processing monitoring node, and the intelligent acquisition system includes an image acquisition unit and a laser ranging unit; a production monitoring module, which is used to activate the intelligent acquisition system, perform production monitoring of the paper ring label, and establish a time window; The module comprises a monitoring concern establishing module, which is used to activate the linkage sampling constraint through the timing monitoring result, generate the timing monitoring feedback through the linkage sampling constraint, and establish the monitoring concern of the intelligent acquisition system through the timing monitoring feedback; a data acquisition module, which is used to control the intelligent acquisition system to collect data based on the monitoring concern, and establish additional timing monitoring results; a functional testing module, which is used to configure a simulation test system for fitting and tearing, and after sampling the paper ring label, evaluate the fitting degree and tearability of the sampling results based on the simulation test system, and establish functional test results; a quality inspection module, which is used to generate the processing quality inspection result of the paper ring label according to the timing monitoring result, the additional timing monitoring result, and the functional test result.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] Obtain the production and processing flow of the paper ring label, configure the processing monitoring node based on the production and processing flow, and configure the linkage sampling constraint of the processing monitoring node, wherein the linkage sampling constraint has a time window identifier; establish an intelligent acquisition system mapped with the processing monitoring node, wherein the intelligent acquisition system includes an image acquisition unit and a laser ranging unit; activate the intelligent acquisition system, perform production monitoring of the paper ring label, and establish a timing monitoring result; activate the linkage sampling constraint through the timing monitoring result, generate timing monitoring feedback through the linkage sampling constraint, and establish the monitoring focus of the intelligent acquisition system through the timing monitoring feedback; control the intelligent acquisition system to perform data acquisition based on the monitoring focus, and establish additional timing monitoring results; configure a simulation test system for fitting and tearing, and after sampling the paper ring label, evaluate the fitting degree and tearability of the sampling results based on the simulation test system, and establish a functional test result; generate the processing quality inspection result of the paper ring label according to the timing monitoring result, the additional timing monitoring result, and the functional test result. By utilizing advanced intelligent collection systems and linkage sampling constraints, and then configuring monitoring attention and conducting quality inspections, the accuracy and efficiency of quality inspections in the paper ring label production process can be improved, thereby improving the technical effect of product quality.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0012] Figure 1 A schematic diagram of a process for detecting the processing quality of a paper ring label according to the present application;

[0013] Figure 2 This is a schematic structural diagram of a paper ring label processing quality inspection device according to the present application.

[0014] Description of reference numerals:

[0015] Linked sampling constraint configuration module 11, collection system establishment module 12, production monitoring module 13, monitoring focus establishment module 14, data collection module 15, function test module 16, quality inspection module 17. DETAILED DESCRIPTION

[0016] This application provides a paper ring label processing quality detection method and device to solve the technical problem in the prior art that the quality detection results are inaccurate due to the lack of time series correlation analysis of production anomalies. By using advanced intelligent acquisition systems and linkage sampling constraints, monitoring attention is configured to perform quality inspection, so as to improve the quality inspection accuracy and efficiency in the paper ring label production process, thereby improving the technical effect of product quality.

[0017] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0018] For example, please refer to the attached Figure 1 The present application provides a method for detecting the processing quality of a paper ring label, wherein the method for detecting the processing quality of a paper ring label is applied to a device for detecting the processing quality of a paper ring label, and the method for detecting the processing quality of a paper ring label specifically comprises the following steps:

[0019] Step 1: Obtain the production process of the paper ring label, configure the processing monitoring nodes based on the production process, and configure the linkage sampling constraints of the processing monitoring nodes, wherein the linkage sampling constraints have a time window identifier.

[0020] Specifically, a paper ring label is a paper ring-shaped label used for labeling, marking or identification, and is often used in commodity packaging to display information. The production and processing flow of a paper ring label refers to the entire process from raw material preparation to finished product output, including but not limited to paper cutting, printing, coating, die-cutting, bending, quality inspection and other steps. Each step has its specific process parameters and technical requirements, and the combination of these parameters and requirements constitutes the production and processing flow of paper ring labels. In order to ensure production quality and efficiency, it is necessary to configure processing monitoring nodes in the production and processing flow, and each processing flow corresponds to a processing monitoring node. On the basis of configuring the processing monitoring nodes, it is also necessary to configure the linkage sampling constraints of the processing monitoring nodes. Linkage sampling constraints refer to a data collection rule set between different monitoring nodes to ensure that the data collected in different links can be correlated and verified with each other. For example, setting linkage sampling constraints between the paper cutting link and the printing link can ensure the timing consistency of the cut paper size and the printed pattern, that is, to perform quality inspection on the same batch of paper cup labels. The linkage sampling constraint has a time window identifier, which can be a specific time point or a time period. For example, if the paper cutting and printing stages are executed one after another, the same batch of products will have different times when they arrive at the two production processes. For example, the two processes are separated by 15 minutes, which is used as a time window identifier to facilitate subsequent monitoring of the same batch. In this way, real-time monitoring and data collection of the production process can be achieved, thereby improving production quality and efficiency and reducing production costs.

[0021] Step 2: Establish an intelligent acquisition system mapped with the processing monitoring nodes, wherein the intelligent acquisition system includes an image acquisition unit and a laser ranging unit.

[0022] Specifically, the intelligent acquisition system can automatically acquire data during the production process, thereby realizing real-time monitoring and analysis of the production process. The intelligent acquisition system consists of two parts: an image acquisition unit and a laser ranging unit. The image acquisition unit is usually composed of a high-resolution camera, which is used to capture visual information during the production process, such as paper cutting accuracy, printing quality, die-cutting accuracy, etc. These image data can be used for subsequent quality control. The laser ranging unit is used to measure the distance between objects or the size of objects. In the production and processing flow of paper ring labels, the laser ranging unit can be used to accurately measure key dimensional parameters such as paper thickness and bending angle. Laser ranging units are usually characterized by high precision and fast response, and are very suitable for real-time monitoring on automated production lines.

[0023] The data collection of these two units is independent of each other, but the collected data can complement each other to provide more comprehensive information for monitoring the production process. For example, the image acquisition unit can detect whether the printed pattern is correct, while the laser ranging unit can measure the position accuracy of the printed pattern. The combination of the two data can more accurately evaluate the quality of the product. The establishment of the intelligent collection system makes the data collection in the production process more automated and intelligent, which not only improves the efficiency and accuracy of data collection, but also reduces the need for manual intervention, realizes the centralized management and analysis of production data, and provides support for production decision-making.

[0024] Step 3: Activate the intelligent collection system, perform production monitoring of paper ring labels, and establish time-series monitoring results.

[0025] Specifically, the intelligent acquisition system is activated, and the image acquisition unit and laser ranging unit of the processing monitoring node are used to collect data for each process flow to obtain image data and laser ranging data. Then, an abnormal analysis is performed on the image data and laser ranging data to determine whether there are quality defects and generate a time series monitoring result, which includes the quality monitoring result corresponding to the data acquisition time.

[0026] Image data and laser ranging data under standard quality can be configured at each processing monitoring node and compared with the image data and laser ranging data collected by the intelligent acquisition system to identify whether there are quality defects, generate time series monitoring results, and provide data support for quality inspection.

[0027] Step 4: activating linkage sampling constraints through the timing monitoring results, generating timing monitoring feedback through the linkage sampling constraints, and establishing monitoring concerns of the intelligent acquisition system through the timing monitoring feedback.

[0028] Specifically, the linkage sampling constraint is activated through the timing monitoring results, that is, when the timing monitoring results meet specific conditions, a series of sampling actions will be automatically triggered. The linkage sampling constraint is to ensure that the data of key links in the production process can be collected in a timely and accurate manner for in-depth analysis. Among them, the specific conditions refer to the quality defect conditions, that is, when the timing monitoring results show that the production quality of a certain production monitoring node is abnormal, the linkage sampling constraint is activated to generate timing monitoring feedback, where the timing monitoring feedback refers to the monitoring time feedback for the production monitoring node. For example, if a certain node has a quality defect, the product with quality defects will automatically flow into the next node. Therefore, the time window identifier in the linkage sampling constraint is called to determine the time to flow into the next node. At the same time, the process processing time of the product of the node at the previous node is obtained. There is no way to collect the data of the previous node in real time. It can only be established by backtracking the storage data of the intelligent collection system, thereby establishing the collection time of the upstream node and the downstream node as the timing monitoring feedback.

[0029] Finally, the monitoring focus of the intelligent collection system is established through the timing monitoring feedback, that is, attention is established at the time node corresponding to the timing monitoring feedback, and data collection or data backtracking is performed at this time point later, so as to more effectively monitor the production process and improve production efficiency and quality.

[0030] Step 5: Based on the monitoring focus, control the intelligent collection system to collect data and establish additional time series monitoring results.

[0031] Specifically, data collection work is selectively strengthened according to monitoring concerns, that is, additional data collection and analysis are added for monitoring concerns based on the original time series monitoring results. These additional monitoring results can provide a deeper understanding of the situation at the focus point, thereby more accurately evaluating the status and trend of the production process. In other words, according to the monitoring concern, the production data of the previous node is traced back, and the production data of the next node is collected at the same time, and whether there are quality defects is analyzed again, so as to generate additional time series monitoring results, realize the refined management of the production process, and thus improve production quality.

[0032] Step 6: Configure a simulation test system for fitting and tearing, sample the paper ring labels, evaluate the fit and tearability of the sampling results based on the simulation test system, and establish functional test results.

[0033] Specifically, the simulation test system is configured to simulate the bonding and tearing conditions of the paper ring label during actual use in order to evaluate its performance. The simulation test system is usually a functional module for performing simulation tests and can be constructed based on existing simulation software. Specifically, professional and technical personnel in this field design a simulation test system that can simulate the bonding and tearing process according to the actual use environment and requirements of the paper ring label, simulate different bonding pressures and tearing speeds, and measure the magnitude of the force during the bonding and tearing process.

[0034] Then, samples are randomly drawn from the paper ring labels of the production batch, and the drawn samples are placed in the simulation test system. According to the preset test parameters, such as the preset speed and pressure of the adhesion and tearing, the adhesion and tearing tests are performed. During the test, the adhesion force, tearing force, etc. are recorded, and the recorded data are analyzed to evaluate the adhesion and tearability of the paper ring label. The adhesion is usually evaluated by the size of the adhesion force, and the adhesion is proportional to the adhesion force, while the tearability is evaluated by the size of the tearing force, and the tearability is inversely proportional to the tearing force. Specifically, the mapping relationship between the adhesion and the adhesion force, as well as the mapping relationship between the tearability and the tearing force can be determined by professional and technical personnel in this field based on actual experience, so as to evaluate according to the adhesion force and the tearing force, and obtain the corresponding adhesion and tearability, which constitute the functional test results, so as to better understand the actual performance of the paper ring label, and thus conduct processing quality analysis.

[0035] Step 7: Generate the processing quality inspection result of the paper ring label according to the timing monitoring result, the additional timing monitoring result and the functional test result.

[0036] Specifically, the timing monitoring results, additional timing monitoring results and functional test results are integrated and quality analysis is performed separately. For example, quality anomalies at different processing monitoring nodes are analyzed based on the timing monitoring results and additional timing monitoring results. At the same time, the functional test results are used to determine whether the fit and tearability of the paper cup label meet the preset requirements. This generates a result that includes the production quality of the processing monitoring nodes and the functional quality of the paper cup label. This is used as the processing quality inspection result, which facilitates a comprehensive understanding of the status of the production process and the quality of the product, and improves the accuracy of quality inspection.

[0037] Further, step three of this application includes:

[0038] Acquire a printing feature library, and establish a standard comparison feature with a position identifier based on the printing feature library; perform similarity authentication on the image acquisition result of the image acquisition unit through the standard comparison feature, input the similarity authentication result into a focus recognition channel, perform defect focus recognition on the image acquisition unit through the focus recognition channel, and establish a time series monitoring result.

[0039] Specifically, the purpose of acquiring a printing feature library is to establish a standard reference data set. The printing feature library contains the feature information of normal printed products. These features may include the shape, color, texture, etc. of the printed pattern. The establishment of a printing feature library is usually based on a large number of normal printing samples. Through existing image processing and analysis technologies, the common features of these samples are extracted to construct a printing feature library.

[0040] Based on the printing feature library, standard comparison features with position identifiers are established, that is, these printing features are associated with specific position information, and printing features with position identifiers are generated as standard comparison features, which are convenient for accurately locating these features in the image acquisition results of the image acquisition unit, so as to perform more accurate similarity authentication. Similarity authentication of the image acquisition results of the image acquisition unit through standard comparison features refers to comparing the image captured by the image acquisition unit with the standard comparison features to evaluate the similarity between the printing features in the image and the standard comparison features as the similarity authentication result of the standard comparison features. The similarity evaluation can be achieved based on existing methods such as cosine similarity and Euclidean distance.

[0041] The similarity authentication results are input into the attention recognition channel in order to further analyze the anomalies or defects in the image. The attention recognition channel is a channel specifically used to identify potential problems in images. It can be built based on existing machine learning models. It can determine whether the printing features in the image meet the standard features based on the similarity authentication results. The similarity authentication results include the similarity between the image captured by the image acquisition unit and the standard comparison features. If the similarity is less than the preset similarity, such as less than 90%, it is considered that there is a quality defect. The acquisition time of the image acquisition result is read to generate a quality analysis result as a time series monitoring result, which is convenient for timely discovery and resolution of defects in the printing process, completion of production quality inspection, and improvement of the comprehensiveness and accuracy of quality inspection.

[0042] Further, step 4 of this application includes:

[0043] Locate the monitoring process of the time series monitoring result, perform process association evaluation according to the monitoring process and the linkage sampling constraint, and establish a process association evaluation result, wherein the process association evaluation result includes a backtracking association result and a flow association result; obtain the monitoring anomaly of the time series monitoring result, wherein the monitoring anomaly includes anomaly type, anomaly value and anomaly timing; establish time series attention and feature attention through the monitoring anomaly and the process association evaluation result, perform time window matching according to the anomaly type, anomaly value and linkage sampling constraint, and obtain a time window matching result; construct monitoring attention with time series attention, feature attention and time window matching results.

[0044] Specifically, the monitoring process of the positioning timing monitoring result refers to identifying the processing flow to which the processing detection corresponding to the timing monitoring result belongs, and taking this as the monitoring process. The process association evaluation based on the monitoring process and linkage sampling constraints is to evaluate the mutual influence and dependency between different processes. The linkage sampling constraints ensure that the data of the associated processing monitoring points can be collected in a timely and accurate manner during the production process. The process association evaluation includes the backtracking association results and the flow association results.

[0045] Among them, the backtracking association result refers to other processes before the process corresponding to the timing monitoring result, which can be understood as the upstream process. The flow association result refers to the process after the timing monitoring result, which can be simply understood as the downstream process corresponding to the timing monitoring result.

[0046] Furthermore, monitoring anomalies of the time series monitoring results are obtained. Monitoring anomalies include anomaly types, anomaly values, and abnormal time series. Anomaly types refer to abnormal data types, and anomaly values ​​refer to the degree of data abnormality, which can be expressed as the degree of deviation from normal data. Abnormal time series refers to abnormal time points. Time series attention and feature attention are established through monitoring anomalies and process association evaluation results in order to determine the type of monitoring data, monitoring points, and time points that need to be focused on. Time series attention refers to the time points that need to be focused on, and feature attention refers to the type of abnormal data that needs to be focused on.

[0047] The purpose of matching time windows according to anomaly types, anomaly values, and linkage sampling constraints is to determine the time range for continuous monitoring. Specifically, the monitoring time can be constrained according to the linkage sampling constraints, and then the monitoring time length can be determined according to the anomaly type and anomaly value. The more severe the anomaly, the longer the monitoring time required. The professional and technical personnel in this field can set the relationship between the anomaly type, anomaly value and monitoring time length based on actual conditions to determine the time window matching result.

[0048] Finally, monitoring attention is generated based on the results of timing attention, feature attention, and time window matching, and a comprehensive monitoring strategy is established to ensure that key data and features receive sufficient attention, more effectively monitor the production process, and improve the accuracy of quality inspection.

[0049] Further, step five of this application includes:

[0050] Acquire a backtracking call data set, perform attention authentication on the backtracking call data set based on the feature attention, and establish an attention authentication result; execute attention monitoring of the flow processing monitoring node, perform anomaly identification based on the attention monitoring result, and establish anomaly identification result, wherein the attention monitoring is a time series attenuation monitoring based on the time window matching result; establish an additional time series monitoring result based on the anomaly identification result and the attention authentication result.

[0051] Specifically, the purpose of obtaining the backtracking call data set is to analyze the monitoring data of the monitoring process corresponding to the backtracking association result. That is, if the time series monitoring result shows that a certain monitoring process has a quality problem, then the process before the monitoring process may also have a problem, but the product has been processed in the previous process. Therefore, it is necessary to obtain the production data of the previous process when processing abnormal products according to the backtracking association result as the backtracking call data set. The attention certification of the backtracking call data set is performed according to the feature attention, that is, the focus is placed on the data related to the feature attention to evaluate whether the data related to the feature attention meets the expected standard or range. If so, there is no abnormality in the previous process. Otherwise, there is an abnormality, which is used as the attention certification result. The expected standard or range is set by professional and technical personnel in this field in combination with actual processing needs.

[0052] Furthermore, the execution of the focused monitoring of the flow processing monitoring node refers to directly collecting data on the processes in the flow association results through the intelligent collection system to obtain the focused monitoring results. In layman's terms, if the time series monitoring results show that there are quality problems in a certain monitoring process, then the process after the monitoring process may also have problems. Since the product flows directly to the next process for processing after the monitoring process is completed, data can be directly collected through the intelligent collection system to generate focused monitoring results. Then, based on the focused monitoring results, abnormality identification is performed to identify problems and abnormalities in the production process. Abnormality identification can be achieved through data analysis technologies, such as abnormality detection algorithms, trend analysis, etc. The abnormality identification results include information such as the type, severity, and time of occurrence of the abnormality. Specifically, by collecting abnormal sample data, training the abnormality identification model based on the existing machine learning model, and performing abnormality identification on the focused monitoring results, the abnormality identification results can be obtained.

[0053] Finally, the anomaly recognition results and attention authentication results are combined to obtain additional time series monitoring results, which is convenient for comprehensive evaluation of the status of the production process and the quality of the product, and improves the accuracy of quality inspection.

[0054] Furthermore, step six of this application includes:

[0055] Evaluation features are established, including laminating time features, laminating pressure features, tearing angle features, tearing speed features, and hot melt adhesive distribution features; simulation fitting of all paper ring labels is performed through the evaluation features to establish simulation fitting results; verification test is performed on the sampling results to establish verification test results, and verification compensation of the simulation fitting results is performed based on the verification test results to establish functional test results with verification compensation results.

[0056] Specifically, the evaluation features are established to quantify the performance indicators of the paper ring label. These features will be used for simulation fitting and verification testing to evaluate the quality of the paper ring label. The bonding time feature refers to the time required for the paper ring label to bond with other surfaces. The bonding pressure feature refers to the pressure applied by the paper ring label during the bonding process. The tearing angle feature refers to the angle when tearing off the paper ring label. The tearing speed feature refers to the speed of tearing off the paper ring label. The hot melt adhesive distribution feature refers to the distribution of hot melt adhesive on the paper ring label.

[0057] Perform simulation fitting of all paper ring labels through evaluation features, that is, use a simulation test system to simulate the actual use of paper ring labels and predict their performance. The simulation fitting results can provide the expected performance of paper ring labels under different conditions. The purpose of conducting verification tests on sampling results is to test the performance of paper ring labels under actual conditions and compare them with the simulation fitting results. Verification tests usually include physical tests, such as actual fitting and tearing tests, and the use of special equipment to measure the above evaluation features. Verification compensation of simulation fitting results based on verification test results is to adjust the simulation fitting results to make them more accurately reflect the actual situation. In simple terms, it is to compare the error between the verification test and simulation fitting results, use this as verification compensation, perform error compensation on the simulation fitting results, and generate functional test results to improve the accuracy of production quality inspection.

[0058] Further, step seven of this application includes:

[0059] The abnormal authentication of the time series monitoring result is performed through the focus authentication result to establish an abnormal authentication value; the raw material processing impact and the process abnormality impact are established according to the abnormal authentication value; and the raw material processing impact and the process abnormality impact are reported.

[0060] Specifically, the abnormal authentication of the timing monitoring results by paying attention to the authentication results refers to using the attention authentication results to confirm the abnormal situation in the timing monitoring results, and extracting the corresponding abnormal data in the timing monitoring results, such as abnormal size, as the abnormal authentication value. Further, establishing the raw material processing influence and the process abnormality influence according to the abnormal authentication value refers to associating the abnormal authentication value with the raw materials and process links in the production process. The raw material processing influence refers to the influence of raw material quality fluctuations on the production process and product quality, and the process abnormality influence refers to the influence of production process parameter deviation or equipment failure on the production process and product quality. Among them, the process of establishing the raw material processing influence and the process abnormality influence according to the abnormal authentication value can be achieved by constructing an abnormal influence database. Specifically, the professional and technical personnel in this field can configure the corresponding raw material processing influence samples and process abnormality influence samples for different abnormal authentication value samples, so as to construct an abnormal influence database. Then, the raw material processing influence and process abnormality influence with the abnormal authentication value are screened in the abnormal influence database. Finally, the raw material processing influence and process abnormality influence are reported, and the processing quality detection results are generated to effectively manage the abnormal situation in the production process, improve the accuracy of quality detection, and thus improve the processing quality.

[0061] Furthermore, the present application also includes the following steps:

[0062] Node abnormality records are made for processing monitoring nodes, and the abnormal record results are compensated by the impact of raw material processing; node compensation parameters of the processing monitoring nodes are established through the compensated abnormal record results, and production control optimization is performed with the node compensation parameters.

[0063] Specifically, recording the abnormal conditions detected by the processing monitoring nodes during the production process and compensating the abnormal recording results through the impact of raw material processing means adjusting the abnormal recording results in consideration of the impact of raw material processing. This compensation can help more accurately assess the actual impact of the abnormality on the production process, thereby taking more effective measures. According to the abnormal recording results and the impact of raw material processing, the node compensation parameters of each monitoring node are determined, and the node compensation parameters include the production parameter adjustment results of the monitoring node. Specifically, professional and technical personnel in this field can establish production parameter compensation samples corresponding to different abnormal data based on actual experience, and build a compensation database, so as to match the node compensation parameters in the compensation database according to the compensated abnormal recording results. The node compensation parameters are applied to the production control system to improve the control and regulation of the production process and improve production quality.

[0064] In summary, the processing quality inspection method of a paper ring label provided in this application has the following technical effects:

[0065] Obtain the production and processing flow of the paper ring label, configure the processing monitoring node based on the production and processing flow, and configure the linkage sampling constraint of the processing monitoring node, wherein the linkage sampling constraint has a time window identifier; establish an intelligent acquisition system mapped with the processing monitoring node, wherein the intelligent acquisition system includes an image acquisition unit and a laser ranging unit; activate the intelligent acquisition system, perform production monitoring of the paper ring label, and establish a timing monitoring result; activate the linkage sampling constraint through the timing monitoring result, generate timing monitoring feedback through the linkage sampling constraint, and establish the monitoring focus of the intelligent acquisition system through the timing monitoring feedback; control the intelligent acquisition system to perform data acquisition based on the monitoring focus, and establish additional timing monitoring results; configure a simulation test system for fitting and tearing, and after sampling the paper ring label, evaluate the fitting degree and tearability of the sampling results based on the simulation test system, and establish a functional test result; generate the processing quality inspection result of the paper ring label according to the timing monitoring result, the additional timing monitoring result, and the functional test result. By utilizing advanced intelligent collection systems and linkage sampling constraints, and then configuring monitoring attention and conducting quality inspections, the accuracy and efficiency of quality inspections in the paper ring label production process can be improved, thereby improving the technical effect of product quality.

[0066] Embodiment 2: Based on the same invention concept as the processing quality detection method of a paper ring label in the above embodiment, this application also provides a processing quality detection device for a paper ring label, please refer to the attached Figure 2The processing quality detection device of the paper ring label comprises:

[0067] The linkage sampling constraint configuration module 11 is used to obtain the production process of the paper ring label, configure the processing monitoring nodes based on the production process, and configure the linkage sampling constraints of the processing monitoring nodes, wherein the linkage sampling constraints have a time window identifier.

[0068] The acquisition system establishment module 12 is used to establish an intelligent acquisition system mapped with the processing monitoring nodes, and the intelligent acquisition system includes an image acquisition unit and a laser ranging unit.

[0069] The production monitoring module 13 is used to activate the intelligent collection system, perform production monitoring of paper ring labels, and establish time-series monitoring results.

[0070] The monitoring focus establishing module 14 is used to activate the linkage sampling constraint through the timing monitoring result, generate timing monitoring feedback through the linkage sampling constraint, and establish the monitoring focus of the intelligent acquisition system through the timing monitoring feedback.

[0071] The data acquisition module 15 is used to control the intelligent acquisition system to collect data based on the monitoring focus and establish additional time-series monitoring results.

[0072] The functional testing module 16 is used to configure a simulation test system for adhesion and tearing, and after sampling the paper ring label, evaluate the adhesion and tearability of the sampling results based on the simulation test system to establish the functional test results.

[0073] The quality detection module 17 is used to generate a processing quality detection result of the paper ring label according to the timing monitoring result, the additional timing monitoring result and the function test result.

[0074] Furthermore, the monitoring attention establishment module 14 is also used for:

[0075] Locate the monitoring process of the time series monitoring result, perform process association evaluation according to the monitoring process and the linkage sampling constraint, and establish a process association evaluation result, wherein the process association evaluation result includes a backtracking association result and a flow association result; obtain the monitoring anomaly of the time series monitoring result, wherein the monitoring anomaly includes anomaly type, anomaly value and anomaly timing; establish time series attention and feature attention through the monitoring anomaly and the process association evaluation result, perform time window matching according to the anomaly type, anomaly value and linkage sampling constraint, and obtain a time window matching result; construct monitoring attention with time series attention, feature attention and time window matching results.

[0076] Furthermore, the data acquisition module 15 is also used for:

[0077] Acquire a backtracking call data set, perform attention authentication on the backtracking call data set based on the feature attention, and establish an attention authentication result; execute attention monitoring of the flow processing monitoring node, perform anomaly identification based on the attention monitoring result, and establish anomaly identification result, wherein the attention monitoring is a time series attenuation monitoring based on the time window matching result; establish an additional time series monitoring result based on the anomaly identification result and the attention authentication result.

[0078] Furthermore, the quality detection module 17 is also used for:

[0079] The abnormal authentication of the time series monitoring result is performed through the focus authentication result to establish an abnormal authentication value; the raw material processing impact and the process abnormality impact are established according to the abnormal authentication value; and the raw material processing impact and the process abnormality impact are reported.

[0080] Furthermore, the functional testing module 16 is also used for:

[0081] Evaluation features are established, including laminating time features, laminating pressure features, tearing angle features, tearing speed features, and hot melt adhesive distribution features; simulation fitting of all paper ring labels is performed through the evaluation features to establish simulation fitting results; verification test is performed on the sampling results to establish verification test results, and verification compensation of the simulation fitting results is performed based on the verification test results to establish functional test results with verification compensation results.

[0082] Furthermore, the production monitoring module 13 is also used for:

[0083] Acquire a printing feature library, and establish a standard comparison feature with a position identifier based on the printing feature library; perform similarity authentication on the image acquisition result of the image acquisition unit through the standard comparison feature, input the similarity authentication result into a focus recognition channel, perform defect focus recognition on the image acquisition unit through the focus recognition channel, and establish a time series monitoring result.

[0084] Furthermore, the processing quality detection device for a paper ring label further includes a production control optimization module, and the production control optimization module is used to:

[0085] Node abnormality records are made for processing monitoring nodes, and the abnormal record results are compensated by the impact of raw material processing; node compensation parameters of the processing monitoring nodes are established through the compensated abnormal record results, and production control optimization is performed with the node compensation parameters.

[0086] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. Figure 1The processing quality detection method and specific examples of a paper ring label in the first embodiment are also applicable to the processing quality detection device of a paper ring label in this embodiment. Through the detailed description of the processing quality detection method of a paper ring label, those skilled in the art can clearly know the processing quality detection device of a paper ring label in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0087] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0088] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A method for detecting the processing quality of a paper ring label, characterized in that: include: Obtain the production and processing flow of the paper ring label, configure the processing monitoring nodes based on the production and processing flow, and configure the linkage sampling constraints of the processing monitoring nodes. The linkage sampling constraints have a time window identifier and refer to a data collection rule set between different monitoring nodes to ensure that the data collected at different links can be correlated and verified with each other; Establishing an intelligent acquisition system mapped with the processing monitoring nodes, the intelligent acquisition system includes an image acquisition unit and a laser ranging unit; Activate the intelligent collection system, perform production monitoring of paper ring labels, establish time-series monitoring results, perform abnormal analysis on image data and laser ranging data, determine whether there are quality defects, and generate time-series monitoring results, which include quality monitoring results corresponding to the data collection time; The linkage sampling constraint is activated through the timing monitoring result, the timing monitoring feedback is generated through the linkage sampling constraint, and the monitoring focus of the intelligent collection system is established through the timing monitoring feedback, that is, the focus is established at the time node corresponding to the timing monitoring feedback, that is, when the timing monitoring result shows that the production quality of the production monitoring node is abnormal, the time window identifier in the linkage sampling constraint is called to determine the time to flow into the next node, and at the same time, the process processing time of the product of the node at the previous node is obtained. The data of the previous node cannot be collected in real time. By backtracking the storage data of the intelligent collection system, the collection time of the upstream node and the downstream node is established as the timing monitoring feedback; Based on the monitoring concern, the intelligent collection system is controlled to collect data, and additional time series monitoring results are established. On the basis of the original time series monitoring results, additional data collection and analysis are added for the monitoring concern, that is, the production data of the previous node is traced back according to the monitoring concern, and the production data of the next node is collected at the same time, and whether there are quality defects is analyzed again, so as to generate additional time series monitoring results; Configure a simulation test system for fitting and tearing, and after sampling the paper ring labels, evaluate the fit and tearability of the sampling results based on the simulation test system to establish functional test results; The processing quality inspection results of the paper ring label are generated according to the timing monitoring results, additional timing monitoring results and functional test results.

2. A method for detecting the processing quality of a paper ring label as claimed in claim 1, characterized in that: The activating the linkage sampling constraint through the timing monitoring result, generating the timing monitoring feedback through the linkage sampling constraint, and establishing the monitoring focus of the intelligent acquisition system through the timing monitoring feedback further includes: Locate the monitoring process of the time series monitoring result, perform process association evaluation according to the monitoring process and the linkage sampling constraint, and establish a process association evaluation result, wherein the process association evaluation result includes a backtracking association result and a flow direction association result. The backtracking association result refers to other processes before the process corresponding to the time series monitoring result, which is the upstream process; the flow direction association result refers to the process after the process corresponding to the time series monitoring result, which is the downstream process corresponding to the time series monitoring result; Acquire monitoring anomalies of the time series monitoring results, wherein the monitoring anomalies include anomaly types, anomaly values, and anomaly time series; Establishing time series attention and feature attention through the monitoring anomaly and the process association evaluation result, performing time window matching according to the anomaly type, anomaly value, and linkage sampling constraint, and obtaining a time window matching result; Construct monitoring attention based on the results of temporal attention, feature attention, and time window matching.

3. A method for detecting the processing quality of a paper ring label as claimed in claim 2, characterized in that: The controlling the intelligent acquisition system to collect data based on the monitoring focus and establishing additional time series monitoring results also includes: Acquire a backtracking call data set, perform attention authentication of the backtracking call data set according to the characteristic attention, and establish an attention authentication result, wherein, according to the backtracking association result, obtain production data of the previous process when processing the abnormal product as the backtracking call data set; Perform attention monitoring of the flow processing monitoring node, perform abnormality identification based on the attention monitoring results, and establish abnormality identification results; An additional timing monitoring result is established based on the abnormality identification result and the focus authentication result.

4. A method for detecting processing quality of a paper ring label as claimed in claim 3, characterized in that: The method of generating the processing quality inspection result of the paper ring label according to the timing monitoring result, the additional timing monitoring result and the function test result also includes: Perform abnormal authentication of the timing monitoring result through the concerned authentication result, and establish an abnormal authentication value; Establish raw material processing impact and process abnormality impact based on the abnormal certification value; Report the impact of raw material processing and process abnormalities.

5. The method for detecting the processing quality of a paper ring label according to claim 1, characterized in that: The evaluation of the fit and tearability of the sampling results based on the simulation test system and establishing the functional test results also includes: Establishing evaluation features, wherein the evaluation features include laminating time features, laminating pressure features, tearing angle features, tearing speed features, and hot melt adhesive distribution features; Perform simulation fitting of all paper ring labels through the evaluation features and establish simulation fitting results; A verification test is performed on the sampling results to establish a verification test result, and verification compensation is performed on the simulation fitting result according to the verification test result, so as to establish a functional test result with the verification compensation result.

6. A method for detecting processing quality of a paper ring label as claimed in claim 1, characterized in that: Also includes: Acquire a printing feature library, and establish a standard comparison feature with a position identifier based on the printing feature library; The image acquisition result of the image acquisition unit is similarly authenticated through the standard comparison feature, the similarity authentication result is input into the attention recognition channel, the defect attention recognition of the image acquisition unit is performed through the attention recognition channel, and the time series monitoring result is established.

7. A method for detecting processing quality of a paper ring label as claimed in claim 4, characterized in that: Also includes: Record abnormalities at processing monitoring nodes and compensate for abnormal record results through raw material processing; The node compensation parameters of the processing monitoring nodes are established through the compensated abnormal record results, and the production control optimization is performed with the node compensation parameters.

8. A paper ring label processing quality detection device, characterized in that: The steps for implementing the processing quality detection method of a paper ring label as claimed in any one of claims 1 to 7 include: A linkage sampling constraint configuration module is used to obtain the production and processing flow of the paper ring label, configure the processing monitoring nodes based on the production and processing flow, and configure the linkage sampling constraints of the processing monitoring nodes. The linkage sampling constraints have a time window identifier and refer to a data collection rule set between different monitoring nodes to ensure that the data collected at different links can be correlated and verified with each other; An acquisition system establishment module is used to establish an intelligent acquisition system mapped with the processing monitoring node, wherein the intelligent acquisition system includes an image acquisition unit and a laser ranging unit; A production monitoring module is used to activate the intelligent collection system, perform production monitoring of paper ring labels, establish time-series monitoring results, perform abnormal analysis on image data and laser ranging data, determine whether there are quality defects, and generate time-series monitoring results, which include quality monitoring results corresponding to the data collection time; A monitoring attention establishment module is used to activate the linkage sampling constraint through the timing monitoring result, generate the timing monitoring feedback through the linkage sampling constraint, and establish the monitoring attention of the intelligent collection system through the timing monitoring feedback, that is, to establish attention at the time node corresponding to the timing monitoring feedback, that is, when the timing monitoring result shows that the production quality of the production monitoring node is abnormal, call the time window identifier in the linkage sampling constraint to determine the time to flow into the next node, and at the same time, obtain the process processing time of the product of the node at the previous node. There is no way to collect the data of the previous node in real time. By tracing back the stored data of the intelligent collection system, the collection time of the upstream node and the downstream node is established as the timing monitoring feedback; A data collection module is used to control the intelligent collection system to collect data based on the monitoring concern, establish additional time series monitoring results, and add additional data collection and analysis for the monitoring concern on the basis of the original time series monitoring results, that is, to trace back the production data of the previous node according to the monitoring concern, collect the production data of the next node at the same time, and analyze again whether there are quality defects, so as to generate additional time series monitoring results; Functional testing module, used to configure a simulation test system for lamination and tearing, and after sampling paper ring labels, evaluate the lamination degree and tearability of the sampling results based on the simulation test system to establish functional test results; The quality inspection module is used to generate the processing quality inspection result of the paper ring label according to the timing monitoring result, the additional timing monitoring result and the function test result.

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