Intelligent quality control method, system and equipment for composite production of packaging enterprise

Abstract

The invention discloses an intelligent quality control method for composite production of a packaging enterprise. The method comprises the following steps: executing composite production type mode judgment and matching; constructing a proportion data model of each glue component corresponding to each composite production type mode under different environment temperature and humidity, a glue variety selection and component proportion data model under different composite base materials, and a composite machine production speed change data model; acquiring a base material used for current composite production and temperature and humidity set parameters of an environment where a current machine is located; and calling the environment temperature and humidity proportioning proportion data model, the composite base material proportioning proportion data model and the compound machine production speed change data model, and outputting the glue component proportioning proportion, the glue applying temperature, the glue amount on the compound machine and the compound machine production speed suggested value.

Description

Technical Field

[0001] The present invention relates to the field of computers, and in particular to an intelligent quality control method, system and equipment for composite production of a packaging enterprise. Background Art

[0002] At present, packaging companies need to decide which composite equipment to use according to the composite substrate in actual production. If a solvent-free composite machine is selected, solvent-free glue must be used, and if a dry composite base is used, dry composite glue must be used. Refer to the usage parameter recommendations provided by the glue supplier to configure the ratio of the two components. To this end, companies generally prepare a set of composite production process instructions. Each composite production of each product specifies the type of glue to be used, the ratio of the two components, the amount of glue per square meter, etc. Workers will refer to the process instructions during production operations, including, for example, Figure 1 Glue configuration ratio table. When using an automatic glue dispensing machine, workers will input the ratio required by the process instruction manual into the control panel of the glue dispensing machine. The glue dispensing machine will automatically configure the mixed glue and deliver it to the composite machine for use, and maintain the continuous production operation of the composite machine, without the need for workers to manually configure the glue again. However, in current actual production, the quality of composite production is greatly affected by factors such as glue ratio, glue application temperature, and production environment temperature and humidity. It is necessary to deviate from the paper production work instructions during the composite production operation and make adjustments based on the experience of the composite workers and factors such as the on-site environment. In other words, the current common composite production operations do not have effective production process operation instructions. When there are relatively large changes in production environment factors, composite quality problems will occur frequently, causing considerable losses. Summary of the Invention

[0003] One of the purposes of the present invention is to provide an intelligent quality control method, system and equipment for composite production of packaging enterprises, which can perform real-time dynamic digital control of the quality of composite production, eliminate human uncertainties, improve the quality of composite production, and improve the efficiency of composite production.

[0004] One of the purposes of the present invention is to provide an intelligent quality control method, system and equipment for composite production of packaging enterprises, which can integrate various related equipment, resources and information of composite production into a system integration.

[0005] One of the purposes of the present invention is to provide an intelligent quality control method, system and equipment for composite production of packaging enterprises, which can use the ERP / MES system as the information center, connect data with composite equipment machines through networking technology, connect data with glue dispensing machines through networking technology, and install temperature and humidity sensors according to the on-site equipment and workshop layout and connect data with the information system to form an information interaction ecological network, in which the information system and the glue dispensing machine form a two-way data interaction control network.

[0006] One of the purposes of the present invention is to provide an intelligent quality control method, system and equipment for composite production of packaging enterprises, which can automatically send instructions for adjusting the glue component ratio and glue application temperature to the glue dispensing machine according to the data model, without the need for workers to pay attention and manual adjustment, thereby avoiding workers' delay or mistakes.

[0007] One of the purposes of the present invention is to provide an intelligent quality control method, system and equipment for composite production of packaging enterprises, which can issue warnings in time and adjust the glue amount setting on the composite machine.

[0008] In order to achieve at least one of the inventive objectives of the present invention, the present invention provides an intelligent quality control method for composite production of a packaging enterprise, the intelligent quality control method for composite production of a packaging enterprise comprising the following steps:

[0009] Perform composite production type pattern judgment and matching;

[0010] Construct data models for the ratio of each glue component under different environmental temperatures and humidities under each composite production type mode, data models for glue variety selection and component ratio under different composite substrates, and data models for the production speed changes of composite machines;

[0011] Obtain the current substrate material used in composite production and the current machine's ambient temperature and humidity parameters; and

[0012] Call the environmental temperature and humidity ratio data model, the composite substrate ratio data model, and the composite machine production speed change data model to output the glue component ratio, glue application temperature, glue amount on the composite machine, and the recommended value of the composite machine production speed.

[0013] In some embodiments, the intelligent quality control method for composite production of packaging enterprises further includes the steps of: obtaining glue ratio data from the glue product performance requirement parameter specification database, and converting the ratio parameters under different conditions into digital control parameters.

[0014] In some embodiments, the intelligent quality control method for composite production of packaging enterprises also includes a quality control step for temperature and humidity factors of the production environment: real-time detection of the current temperature and humidity values of the production environment; calling the environmental temperature and humidity ratio data model, the composite substrate ratio data model, and the composite machine production speed change data model to obtain the glue component ratio and glue application temperature parameters, and send adjustment instructions to the glue dispensing machine.

[0015] In some embodiments, the intelligent quality control method for composite production of packaging enterprises also includes the steps of: obtaining data of the environmental temperature and humidity ratio data model, the composite substrate ratio data model, and the composite machine production speed change data model, establishing a standard production process parameter set database, and providing dynamic production process guidance standard feedback.

[0016] According to another aspect of the present invention, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the intelligent quality control method for composite production of packaging enterprises are performed.

[0017] According to another aspect of the present invention, there is also provided an intelligent quality control device for composite production of a packaging enterprise, comprising:

[0018] Memory, for storing software applications,

[0019] The processor is used to execute the software application program, and each program of the software application program correspondingly executes each step of the intelligent quality control method for composite production of packaging enterprises.

[0020] According to another aspect of the present invention, an intelligent quality control system for composite production of a packaging enterprise is provided, which applies the intelligent quality control method for composite production of a packaging enterprise. The intelligent quality control system for composite production of a packaging enterprise is provided with a ratio data model unit, and the ratio data model unit includes a product performance requirement parameter specification database module, an environmental temperature and humidity ratio data model module, a composite substrate ratio data model module, and a composite machine production speed change data model module. The product performance requirement parameter specification database module stores and updates the product performance requirement parameter specification of the glue within a preset period, and converts the ratio parameters under different conditions into digital control parameters. The environmental temperature and humidity ratio data model module is used to construct and execute the ratio data model of each component of the glue under different environmental temperatures and humidities. The composite substrate ratio data model module is used to construct and execute the glue variety selection and component ratio data model of each component of the glue under different composite substrates. The composite machine production speed change data model module is used to construct and execute the composite machine production speed change data model of each component of the glue.

[0021] In some embodiments, the ratio data model unit is further configured to execute: obtaining parameters affecting temperature and humidity, viscosity, speed, and material gluing amount as measurement indicators; and assigning weight ratios according to the influence of the parameters.

[0022] In some embodiments, the intelligent quality control system for composite production of packaging enterprises also includes an average glue application quality warning module, which obtains the average glue application amount of the glue dispensing machine within a preset time, and compares it with the preset set value threshold. When the average glue application amount of the glue dispensing machine exceeds the positive and negative deviation range allowed by the set value, an alarm is automatically issued.

[0023] In some embodiments, the intelligent quality control system for composite production of packaging enterprises also includes a data model self-learning module, and the data model self-learning module is configured to perform: real-time recording and storage of the composite machine glue amount setting information, equipment operating speed setting information, glue dispensing unit allocation ratio setting information and glue application temperature setting change value information adjusted by the operation end, storage of quality compliance production process parameters, establishment of a quality compliance production process parameter database, and update of the environmental temperature and humidity ratio data model, the composite substrate ratio data model and the composite machine production speed change data model based on the quality compliance production process parameter database. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is an example of the configuration ratio of the two components of glue under different environments provided by the glue supplier in existing actual production.

[0025] Figure 2 This is an overall architecture diagram of an intelligent quality control system for composite production of a packaging enterprise according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] The following description is intended to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are for illustrative purposes only, and those skilled in the art will readily appreciate other obvious variations. The basic principles of the present invention defined in the following description may be applied to other embodiments, variations, improvements, equivalents, and other technical solutions that do not depart from the spirit and scope of the present invention.

[0027] It is to be understood that the term "one" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of an element may be one, while in another embodiment, the number of the elements may be multiple, and the term "one" should not be understood as a limitation on the quantity.

[0028] The definitions in the present invention are as follows:

[0029] ERP / MES system: a hardware application system used for enterprise data management, which manages and controls materials, equipment, environment, and production processes during the production process.

[0030] Laminating machine: A type of production equipment that bonds two or more films or papers (composite substrates) together using adhesives. Depending on the type of adhesive used, laminating machines are classified as solvent-free laminating machines and dry laminating machines. Dry laminating machines are further divided into steel roller dry laminating machines and flexographic plate dry laminating machines, depending on the type of adhesive transfer roller used.

[0031] Composite glue: Composite glue is made up of two components, commonly referred to as A and B glue, namely the base and curing agent. The distinction between A and B is merely a common designation and does not alter the nature of the adhesive. During use, the ratio of the base and curing agent should be adjusted based on factors such as ambient temperature and humidity, and the characteristics of the composite substrate. If necessary, the operating temperature of the mixed glue should also be adjusted to achieve optimal application.

[0032] Automatic glue dispenser: A device that mixes two components in a precise ratio and then supplies them to a laminating machine through a pipeline. The ratio can be adjusted at any time based on actual requirements. The device monitors the laminating machine's operation and automatically replenishes the mixed glue to maintain normal operation.

[0033] This invention relates to computer programs. Based on this invention, a method for intelligent quality control of composite production in packaging enterprises is described. This method addresses the problems raised by the present invention by using a computer program processing flow as a basis, and by controlling or processing external or internal computer objects through the execution of a computer program compiled according to the aforementioned flow. This method of intelligent quality control of composite production in packaging enterprises utilizes computer systems, integrating human experience and machine learning results, to improve composite production quality and efficiency.

[0034] It is understandable that the "computer" referred to in the present invention does not only refer to desktop computers, laptops, tablets and other devices, but also includes other intelligent electronic devices that can run according to programs and process data.

[0035] Specifically, the intelligent quality control method for composite production of packaging enterprises includes the following steps of constructing a ratio data model:

[0036] Obtain glue ratio data from the glue product performance requirement parameter specification database, and convert the ratio parameters under different conditions into digital control parameters;

[0037] Execute compound production type mode judgment and matching, the compound production type mode is selected from solvent-free compound production mode and dry compound production mode;

[0038] Construct data models for the ratio of each glue component under different ambient temperatures and humidities under each composite production type mode, data models for glue variety selection and component ratio under different composite substrates, and data models for the variation of composite machine production speed; and

[0039] Construct data interaction between the three aforementioned data models, namely, the ambient temperature and humidity ratio data model, the composite substrate ratio data model, and the composite machine production speed change data model.

[0040] Furthermore, the intelligent quality control method for composite production of packaging enterprises further includes the following steps of processing and outputting recommended values:

[0041] Determine the type of current composite production model;

[0042] Obtain the established parameters such as the substrate material used in the current composite production, the temperature and humidity of the current machine environment;

[0043] The environmental temperature and humidity ratio data model, the composite base material ratio data model, and the compound machine production speed change data model are called. The three data models are linked to retrieve the appropriate glue component ratio, glue application temperature, glue amount on the compound machine, and recommended values for the compound machine production speed; among them, the glue component ratio and glue application temperature parameters are directly transmitted to the glue dispensing machine control system, and the glue dispensing machine operates according to these parameters.

[0044] Furthermore, the intelligent quality control method for composite production of packaging enterprises also includes the following glue quantity quality warning steps:

[0045] Obtain preset quality alerts to monitor production cycles;

[0046] When the preset quality warning monitoring production cycle is reached, the average glue amount of the glue dispensing machine during this period is obtained;

[0047] Get the preset glue amount setting value threshold;

[0048] When the average glue amount of the glue dispensing machine during this period exceeds the allowable positive and negative deviation range, the glue amount warning information is fed back to the operation end.

[0049] Through this step, after a period of production, the glue dispensing machine can give the average glue amount during this period. When the value given by the glue dispensing machine exceeds the positive and negative deviation range allowed by the set value in the system, an alarm will be automatically given to remind on-site workers to check the quality of the composite products and adjust the glue amount setting on the composite machine if necessary.

[0050] Furthermore, the intelligent quality control method for composite production of packaging enterprises also includes the following quality control steps for temperature and humidity factors of the production environment: real-time detection of the current temperature and humidity values of the production environment; based on the linkage of the environmental temperature and humidity ratio data model, the composite substrate ratio data model, and the composite machine production speed change data model, the glue component ratio adjustment and glue application temperature instructions are sent to the glue dispensing machine.

[0051] Furthermore, the intelligent quality control method for composite production of packaging enterprises also includes the following data model self-learning steps: real-time recording and storage of the composite machine glue amount setting information, equipment operating speed setting information, glue dispensing unit distribution ratio setting information, glue application temperature setting and other change value information adjusted by the operator at the operating end, storage of quality compliance production process parameters, establishment of a quality compliance production process parameter database, and improvement of the environmental temperature and humidity ratio data model, the composite substrate ratio data model, and the composite machine production speed change data model based on the quality compliance production process parameter database.

[0052] Furthermore, the intelligent quality control method for composite production of packaging enterprises also includes the following steps for executing dynamic production process guidance standards:

[0053] Obtain data on the ambient temperature and humidity ratio data model, the composite substrate ratio data model, and the composite machine production speed change data model, establish a standard production process parameter set database, and provide dynamic production process guidance standard feedback.

[0054] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided in the form of methods, systems, or computer program products. Thus, the present invention may take the form of an all-hardware embodiment, an all-software embodiment, or a combination of software and hardware embodiments.

[0055] The present invention can be embedded in a computer program product, which includes all the features that enable the intelligent quality control method for composite production of packaging enterprises described herein to be implemented. The computer program product is contained in one or more computer-readable storage media, and the computer-readable storage medium has a computer-readable program code contained therein. According to another aspect of the present invention, a computer-readable storage medium is also provided, on which a computer program is stored, and when the computer program is executed by a processor, it is capable of executing the steps of the intelligent quality control method for composite production of packaging enterprises of the present invention. Computer storage media is a medium in a computer memory for storing a certain discontinuous physical quantity. Computer storage media include but are not limited to semiconductors, disk storage, magnetic cores, magnetic drums, magnetic tapes, laser discs, etc. It can be understood by those skilled in the art that computer storage media are not limited to the aforementioned examples, and the aforementioned examples are merely examples and are not limited to the present invention.

[0056] According to another aspect of the present invention, there is provided an intelligent quality control device for composite production in a packaging enterprise. The device comprises a software application, a memory for storing the software application, and a processor for executing the software application. Each program in the software application is capable of correspondingly executing the steps of the intelligent quality control method for composite production in a packaging enterprise according to the present invention.

[0057] A typical combination of hardware and software can be a general-purpose computer system with a computer program. When the program is loaded and executed, it controls the computer system to perform the intelligent quality control method for composite production of packaging enterprises disclosed in the present invention.

[0058] It will be understood by those skilled in the art that the device may be embodied as a desktop computer, a notebook, a mobile smart device, etc., but the foregoing is merely an example and also includes other intelligent analysis devices equipped with the software application of the present invention.

[0059] Those skilled in the art will appreciate that the intelligent quality control method for composite production in packaging enterprises of the present invention can be implemented through hardware, software, or a combination of both. The present invention can be implemented in a centralized manner within at least one computer system, or in a decentralized manner across multiple interconnected computer systems. Any computer system or other device capable of implementing the method is applicable. A commonly used combination of hardware and software can include a general-purpose computer system with a computer program installed, which controls the computer system by installing and executing the program to execute the method.

[0060] Corresponding to the embodiment of the method of the present invention, according to another aspect of the present invention, a packaging enterprise composite production intelligent quality control system is also provided. The packaging enterprise composite production intelligent quality control system is the application of the packaging enterprise composite production intelligent quality control method of the present invention in computer program improvement.

[0061] Specifically, the packaging enterprise's intelligent composite production quality control system includes a ratio data model unit. The ratio data model unit includes a product performance requirement parameter specification database module, a composite production mode matching module, an ambient temperature and humidity ratio data model module, a composite substrate ratio data model module, and a composite machine production speed change data model module. The product performance requirement parameter specification database module stores and updates the glue product performance requirement parameter specification within a preset period, converting the ratio parameters under different conditions into digital control parameters. The composite production mode matching module is used to preset a solvent-free composite production mode and a dry composite production mode, and to perform composite production mode type judgment and matching, so that the appropriate ratio data model can be called under different composite production modes.

[0062] The ambient temperature and humidity ratio data model module is used to construct and execute a data model for the ratio of each glue component under different ambient temperatures and humidities. The composite substrate ratio data model module is used to construct and execute a data model for the selection of glue varieties and the ratio of each glue component under different composite substrates. The compound machine production speed change data model module is used to construct and execute a data model for the variation of each glue component under the compound machine production speed.

[0063] That is, in a specific embodiment, the ratio data model unit can pre-acquire product performance requirement parameter specifications from different glue suppliers through the product performance requirement parameter specification database module, convert the ratio parameters under different conditions into digital control parameters, and establish three data models for solvent-free composite production and dry composite production modes, namely, a ratio data model for the ratio of two components under different ambient temperatures and humidities, a data model for the glue type selection and component ratio under different composite substrates, and a data model for the change in composite machine production speed. It is worth mentioning that in a composite production mode, these three data models interact with each other.

[0064] The ratio data model unit is further configured to: obtain parameters influencing temperature and humidity, viscosity, speed, and material glue application as measurement indicators; assign different weight ratios based on the influence of these parameters; and control the model inputs to objective condition values such as temperature and humidity, composite substrate, etc., and output specific component configuration ratios and specific glue application values. The ratio data model unit is further configured to: set an allowable range for output value variation, and when objective changes cause the output result variable to exceed the range, the feedback operation terminal performs manual adjustment operations. The objective condition values are selected from equipment properties, glue properties, material properties, etc., as the initial operating parameter set.

[0065] Furthermore, the packaging enterprise's intelligent composite production quality control system also includes a composite production mode type judgment module, a predetermined parameter module, a data model linkage retrieval module, and a recommended value output module. The composite production mode type judgment module determines the type of the current composite production mode. The predetermined parameter module reads predetermined parameters such as the substrate material used in the current composite production and the ambient temperature and humidity of the current machine. The data model linkage retrieval module is configured to execute: based on the ambient temperature and humidity ratio data model, the composite substrate ratio data model, and the composite machine production speed change data model, the linkage retrieval module retrieves suitable glue component ratios, glue application temperature, glue amount on the composite machine, and recommended values for the composite machine production speed. The recommended value output module is used to output the recommended value results of the data model linkage retrieval module. In a specific embodiment, the glue component ratios and glue application temperature parameters output by the recommended value output module are transmitted to the glue dispensing machine control system, and the glue dispensing machine operates according to these parameters.

[0066] Furthermore, the intelligent quality control system for composite production at packaging enterprises also includes an average glue quantity quality warning module. This module obtains the average glue quantity applied by the glue dispenser within a preset time period and compares it with a preset set value threshold. When the average glue quantity applied by the glue dispenser exceeds the allowable positive or negative deviation range of the set value, an alarm is automatically issued. This allows operators at the operation end to promptly check the quality of composite products and adjust the glue quantity setting on the composite machine if necessary.

[0067] Furthermore, the packaging enterprise's intelligent composite production quality control system also includes a production environment temperature and humidity change quality control module, which is configured to perform the following: real-time detection of the current production environment temperature and humidity values, and based on the linkage of the environmental temperature and humidity ratio data model, the composite substrate ratio data model, and the composite machine production speed change data model, the glue component ratio adjustment and glue application temperature adjustment instructions are sent to the glue dispensing machine. Through the production environment temperature and humidity change quality control module, workers do not need to pay attention or make manual adjustments, avoiding workers' delays or mistakes, and reducing the probability of composite quality accidents caused by changes in the production environment temperature and humidity. Data models can be used to reduce on-site human factors and avoid hidden dangers of human error through automated control.

[0068] Furthermore, the packaging enterprise's intelligent quality control system for composite production also includes a data model self-learning module, which is configured to perform: real-time recording and storage of the composite machine glue amount setting information, equipment operating speed setting information, glue dispensing unit distribution ratio setting information, glue application temperature setting and other change value information adjusted by the operator at the operating end, storage of quality compliance production process parameters, establishment of a quality compliance production process parameter database, and improvement of the environmental temperature and humidity ratio data model, the composite substrate ratio data model, and the composite machine production speed change data model based on the quality compliance production process parameter database.

[0069] Through the data model self-learning module, the amount of data accumulation of the parameter control model can be enriched, and various objective condition variables and the configuration ratio values and temperature values of quality-qualified production under these variables can be stored. Among them, the judgment condition of quality-qualified production is implemented in a specific embodiment as no change in the parameters of the glue dispensing machine within a preset time (for example, ten minutes), or no change in the parameters such as the glue application amount and speed on the composite equipment. Through the data model self-learning module, the range and details of the objective conditions contained in the parameter control mode can be increased. Through the data model self-learning module, the variables caused by different composite substrate materials, the variables caused by different glue suppliers, and the variables such as the mesh roller material, mesh number of the mesh roller, and the material of the glue roller can be enriched.

[0070] Furthermore, the packaging enterprise's intelligent composite production quality control system also includes a dynamic production process guidance standard module. This module is configured to: acquire data from a data model for the ambient temperature and humidity ratio, a data model for the composite substrate ratio, and a data model for the laminating machine's production speed variation; establish a database of standard production process parameter sets; and provide dynamic production process guidance standard feedback. Through this module, when the data records in these three data models accumulate to a certain level, they can be used as dynamic production process guidance standards. Specifically, based on the specific values of various influencing factors in composite production, corresponding standard production process parameter sets are generated, and the glue dispensing machine and on-site workers are instructed to execute according to the process standard recommendations. This allows composite production to transition from the current model that relies on human experience to a digital, precise control model.

[0071] In a specific embodiment, the composite first substrate and the composite second substrate are fed into a composite machine, and through the intelligent quality control of the packaging enterprise composite production intelligent quality control system, a composite output product that meets the quality requirements is formed. The packaging enterprise composite production intelligent quality control system can provide the corresponding ratio of glue A main agent and glue B curing agent to the glue dispenser according to the current environmental status and production status. The packaging enterprise composite production intelligent quality control system communicates with the ERP / MES system through the information system control unit, and uses the ERP / MES system as the information center. The packaging enterprise composite production intelligent quality control system is connected to the composite equipment machine through the composite machine communication control unit based on networking technology. The packaging enterprise composite production intelligent quality control system is connected to the glue dispenser through the glue dispenser communication and control unit based on networking technology. The packaging enterprise composite production intelligent quality control system is connected to the glue dispenser through the glue dispenser communication and control unit based on networking technology. According to the on-site equipment and workshop layout, the packaging enterprise composite production intelligent quality control system uses the temperature and humidity sensor control unit to connect the temperature and humidity sensor to the information system control unit of the packaging enterprise composite production intelligent quality control system. Thus, the intelligent quality control system for composite production of the packaging enterprise forms an information interaction ecological network, in which the information system control unit and the glue dispensing machine form a two-way data interaction control network.

[0072] It is understood that the intelligent quality control system for composite production of packaging enterprises of the present invention can intelligently control product quality, changing the traditional passive response mode and avoiding the situation where problems can only be detected and adjusted after they occur. It is understood that the specific composite principle and application are described as follows:

[0073] From a material perspective, lamination production involves applying glue to the first substrate in the lamination equipment's gluing area via a gluing roller. The first substrate is then bonded to the second substrate in the bonding area and briefly pressed together. The glue applied to the gluing roller is drawn from the equipment's glue tank by a mesh roller. The resulting composite product requires a period of chemical reaction between the two substrates to establish a true bond. The most critical factors in this production process are the viscosity of the glue and the thickness of the glue between the two substrates, expressed as the amount of glue applied. The viscosity of the glue determines its performance on the mesh roller and the gluing roller. High viscosity means the glue is too thick and poorly transferred, leading to a series of lamination quality issues. Low viscosity means the glue is too thin, meaning the amount of glue transferred is insufficient, resulting in a weak bond. Excessive glue application not only wastes glue but also results in a weak bond. Too little glue application can leave areas of the substrates unattached, causing quality issues. Therefore, the focus of the intelligent quality control system for composite production of packaging enterprises of the present invention for composite production quality control is on glue viscosity control and glue amount control.

[0074] In traditional operations, workers understand and master the configuration ratio of the two components of glue through the information used by glue suppliers when training users. However, the glue configuration ratio is not a fixed value. The reason is that in actual production, the temperature and humidity of the workshop, the viscosity curve of the two components of glue with temperature, the characteristics of the composite equipment, the production speed, etc., determine the actual optimal glue viscosity value. This value is traditionally determined by the workers' experience and on-site debugging. The process of exploration may cause quality accidents. In addition, the temperature and humidity conditions of the workshop are not static. At the same time, the glue in the glue tank of the composite equipment will also change with the working time, and these changes are often ignored by the on-site workers. As a result, the viscosity and amount of glue that have been adjusted are not suitable after a period of time, which leads to quality accidents. The intelligent quality control system for composite production of packaging enterprises of the present invention digitizes the glue usage characteristics of different suppliers, the characteristics of the digitized composite equipment, and the characteristics of the substrate through the product performance requirement parameter manual database module. The intelligent quality control system for composite production of packaging enterprises of the present invention constructs a set of composite production parameter control models through the environmental temperature and humidity ratio data model module, the composite substrate ratio data model module and the composite machine production speed change data model module. The core influencing parameters such as temperature and humidity, viscosity, speed, and material glue amount are used as measurement indicators, and different weight ratios are assigned according to the influence of the parameters. The input items of the control model are the objective condition values such as temperature and humidity, composite substrate, etc., and the output of the control model is the specific component configuration ratio and the specific value of the glue amount. In the parameter control model, an output value change allowable range is also set. That is, when the objective change causes the output result variable to be within the range, no on-site adjustment is necessary and no operation is required; when the objective change causes the output result variable to exceed the range, an adjustment operation is required.

[0075] In a specific embodiment, the temperature and humidity sensor provides real-time on-site environmental conditions. In a specific embodiment, the order information provides information such as the two substrates to be composited, the type of glue, and the production speed.

[0076] Furthermore, the packaging enterprise composite production intelligent quality control system is also provided with a glue dispensing machine execution parameter control module, which is configured to: execute the two-component configuration ratio and glue temperature calculated by the parameter control model.

[0077] Through the intelligent quality control system for composite production of packaging enterprises of the present invention, when the objective conditions change beyond the range, new glue proportion instructions and glue temperature adjustment instructions are automatically issued to the glue dispensing machine. When the glue dispensing machine cannot be controlled, an alarm is issued and fed back to the operation end to complete the adjustment.

[0078] It will be appreciated by those skilled in the art that the present invention has been described with reference to the flowcharts and / or block diagrams of the methods, systems, and computer program products according to the present invention. Each block in the flowcharts and / or block diagrams, and combinations of blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions (which are passed through the processor of the computer or other programmable data processing device) generate means for implementing the functions specified in one or more blocks in the flowcharts and / or block diagrams.

[0079] Those skilled in the art will appreciate that the embodiments of the present invention described above and shown in the accompanying drawings are intended to be illustrative only and are not intended to limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functional and structural principles of the present invention have been demonstrated and explained in the embodiments. Any variations or modifications may be made to the embodiments of the present invention without departing from these principles.

Claims

1. A packaging enterprise composite production intelligent quality control method, characterized by: The intelligent quality control method for composite production of a packaging enterprise comprises the following steps: Perform composite production type pattern judgment and matching; Construct data models for the ratio of each glue component under different environmental temperatures and humidities under each composite production type mode, data models for glue variety selection and component ratio under different composite substrates, and data models for the production speed changes of composite machines; Obtain the current substrate material used in composite production and the current machine's ambient temperature and humidity parameters; and Call the environmental temperature and humidity ratio data model, the composite substrate ratio data model, and the composite machine production speed change data model to output the glue component ratio, glue application temperature, glue amount on the composite machine, and the recommended value of the composite machine production speed.

2. The intelligent quality control method for composite production of packaging enterprises as described in claim 1, wherein the intelligent quality control method for composite production of packaging enterprises further comprises the steps of: obtaining glue ratio data from a glue product performance requirement parameter specification database, and converting the ratio parameters under different conditions into digital control parameters.

3. The intelligent quality control method for composite production of packaging enterprises as described in claim 1, wherein the intelligent quality control method for composite production of packaging enterprises also includes a quality control step of temperature and humidity factors of the production environment: real-time detection of the current temperature and humidity values of the production environment; calling the environmental temperature and humidity ratio data model, the composite substrate ratio data model, and the composite machine production speed change data model to obtain the glue component ratio and glue application temperature parameters, and send adjustment instructions to the glue dispensing machine.

4. The intelligent quality control method for composite production of a packaging enterprise as described in claim 1, wherein the intelligent quality control method for composite production of a packaging enterprise further comprises the steps of: obtaining data of an environmental temperature and humidity ratio data model, a composite substrate ratio data model, and a composite machine production speed change data model, establishing a standard production process parameter set database, and providing dynamic production process guidance standard feedback.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the intelligent quality control method for composite production of a packaging enterprise as described in any one of claims 1 to 4 are performed.

6. An intelligent quality control equipment for composite production of packaging enterprises, characterized by: include: Memory, for storing software applications, A processor is used to execute the software application, and each program of the software application correspondingly executes each step of the intelligent quality control method for composite production of packaging enterprises as described in any one of claims 1 to 4.

7. An intelligent quality control system for composite production of a packaging enterprise, applying the intelligent quality control method for composite production of a packaging enterprise as claimed in any one of claims 1 to 4, characterized in that: The packaging enterprise composite production intelligent quality control system is provided with a ratio data model unit, and the ratio data model unit includes a product performance requirement parameter specification database module, an environmental temperature and humidity ratio data model module, a composite substrate ratio data model module and a composite machine production speed change data model module. The product performance requirement parameter specification database module stores and updates the product performance requirement parameter specification of the glue within a preset period, and converts the ratio parameters under different conditions into digital control parameters. The environmental temperature and humidity ratio data model module is used to construct and execute the ratio data model of each component of the glue under different environmental temperatures and humidities. The composite substrate ratio data model module is used to construct and execute the glue variety selection and component ratio data model of each component of the glue under different composite substrates. The composite machine production speed change data model module is used to construct and execute the composite machine production speed change data model of each component of the glue.

8. The intelligent quality control system for composite production of packaging enterprises as described in claim 7, wherein the ratio data model unit is further configured to execute: obtaining the influencing parameters of temperature and humidity, viscosity, speed, and material glue amount as measurement indicators; and assigning weight ratios according to the influence of the parameters.

9. The intelligent quality control system for composite production of packaging enterprises as described in claim 7, wherein the intelligent quality control system for composite production of packaging enterprises further includes an average glue application quality warning module, wherein the average glue application quality warning module obtains the average glue application amount of the glue dispensing machine within a preset time, and compares it with a preset set value threshold. When the average glue application amount of the glue dispensing machine exceeds the positive and negative deviation range allowed by the set value, an alarm is automatically issued.

10. An intelligent quality control system for composite production of packaging enterprises as described in any one of claims 7 to 9, wherein the intelligent quality control system for composite production of packaging enterprises further includes a data model self-learning module, and the data model self-learning module is configured to perform: real-time recording and storage of the compound machine glue amount setting information, equipment operating speed setting information, glue dispensing unit allocation ratio setting information and glue application temperature setting change value information adjusted by the operation end, storage of quality compliance production process parameters, establishment of a quality compliance production process parameter database, and updating of the environmental temperature and humidity ratio data model, the composite substrate ratio data model and the compound machine production speed change data model based on the quality compliance production process parameter database.

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