Automatic packaging control method and device for bag packaging machine

Abstract

The present invention discloses an automated packaging control method and device for a bag packaging machine, and relates to the technical field of packaging machines. The method comprises: obtaining a first packaging task of the bag packaging machine; obtaining a first packaging control scheme according to a packaging control decision model; evaluating the first packaging control scheme to obtain a packaging control evaluation result of the first scheme; judging whether the packaging control evaluation result of the first scheme satisfies the packaging control multi-feature evaluation constraint; if not, activating the packaging control fitness function to generate a first packaging control optimization adjustment result; and packaging control of a first product to be packaged. The method solves the technical problem that the packaging control of the existing bag packaging machine cannot flexibly set the packaging parameters according to the packaging requirements of different products, which leads to low packaging production efficiency and poor quality stability and consistency of the packaging products, and achieves the technical effect of improving packaging production efficiency and packaging product quality.

Description

Technical Field

[0001] The present application relates to the technical field related to packaging machines, and in particular to an automated packaging control method and device for bag packaging machines. Background Art

[0002] In modern industrial production, packaging automation has become an important means to improve production efficiency, ensure product quality and reduce labor costs. Especially in the food industry, bag packaging has become a widely used packaging form due to its flexibility and cost-effectiveness. However, with the increasing diversification and personalization of market demand, traditional bag packaging machines can no longer meet the needs of efficient, precise and intelligent packaging. Traditional bag packaging machines often rely on manual setting of parameters and mechanical operations when performing packaging tasks, which is not only inefficient, but also difficult to ensure the consistency and stability of packaging. Especially when dealing with products of different types and specifications, it is necessary to frequently adjust machine parameters, which increases the complexity of operation and the error rate. In addition, when dealing with complex packaging tasks, such as the need to consider the basic packaging information of hot pot food products, packaging bag information and multiple constraints of packaging effects, traditional packaging machines often cannot meet the requirements well.

[0003] Therefore, in the current packaging control related technologies of bag packaging machines, there is a technical problem that the packaging parameters cannot be flexibly set according to the packaging requirements of different products, which leads to low packaging production efficiency and poor quality stability and consistency of packaging products. Summary of the invention

[0004] The present application provides an automated packaging control method and device for a bag packaging machine, thereby solving the technical problem that the packaging control of the existing bag packaging machine cannot flexibly set the packaging parameters according to the packaging requirements of different products, which leads to low packaging production efficiency and poor quality stability and consistency of the packaging products, thereby achieving the technical effect of improving the packaging production efficiency and the quality of the packaging products.

[0005] The present application provides an automated packaging control method for a bag packaging machine, the method comprising: obtaining a first packaging task for the bag packaging machine, wherein the first packaging task comprises a first product to be packaged, basic packaging information of the first product and packaging bag information of the first product; obtaining a first packaging control scheme based on the first basic packaging information of the product and the first packaging bag information according to a packaging control decision model; evaluating the first packaging control scheme according to a packaging control multi-feature prediction evaluation channel to obtain a first scheme packaging control evaluation result; judging whether the first scheme packaging control evaluation result satisfies the packaging control multi-feature evaluation constraint; if the first scheme packaging control evaluation result does not satisfy the packaging control multi-feature evaluation constraint, activating the packaging control fitness function, optimizing the first packaging control scheme in combination with the packaging control multi-feature evaluation constraint, and generating a first packaging control optimal adjustment result; and performing packaging control on the first product to be packaged based on the bag packaging machine according to the first packaging control optimal adjustment result.

[0006] In a possible implementation, the first packaging control scheme is evaluated according to a packaging control multi-feature prediction and evaluation channel to obtain a first scheme packaging control evaluation result, and the following processing is also performed: the packaging control multi-feature prediction and evaluation channel includes a packaging sealing performance prediction and evaluation channel, a packaging efficiency prediction and evaluation channel, and a packaging energy consumption prediction and evaluation channel; based on the first packaging control scheme, according to the packaging sealing performance prediction and evaluation channel, a first packaging sealing performance prediction coefficient is obtained; based on the first packaging control scheme, according to the packaging efficiency prediction and evaluation channel, a first packaging efficiency prediction and evaluation coefficient is obtained; based on the first packaging control scheme, according to the packaging energy consumption prediction and evaluation channel, a first packaging energy consumption prediction and evaluation coefficient is obtained; the first packaging sealing performance prediction coefficient, the first packaging efficiency prediction and evaluation coefficient, and the first packaging energy consumption prediction and evaluation coefficient are added to the first scheme packaging control evaluation result.

[0007] In a possible implementation, based on the first packaging control scheme and according to the packaging sealing performance prediction and evaluation channel, a first packaging sealing performance prediction coefficient is obtained, and the following processing is performed: the packaging sealing performance prediction and evaluation channel includes K packaging sealing performance prediction and evaluation models, where K is a positive integer greater than 1; the first product packaging basic information, the first product packaging bag information and the first packaging control scheme are input into the K packaging sealing performance prediction and evaluation models to obtain K packaging sealing performance prediction evaluation values; a centralized value calculation is performed based on the K packaging sealing performance prediction evaluation values ​​to generate the first packaging sealing performance prediction coefficient.

[0008] In a possible implementation, if the packaging control evaluation result of the first scheme does not meet the packaging control multi-feature evaluation constraint, activate the packaging control fitness function, optimize the first packaging control scheme in combination with the packaging control multi-feature evaluation constraint, generate the first packaging control optimal adjustment result, and perform the following processing: optimize the feature association of the bag packaging machine according to the first product packaging basic information and the first product packaging bag information, and establish the first packaging control optimal adjustment constraint space; adjust the first packaging control scheme according to the first packaging control optimal adjustment constraint space, and generate a first adjusted packaging control space that meets the capacity of the first adjustment scheme; perform constraint optimization on the first adjusted packaging control space according to the packaging control multi-feature evaluation constraint, and generate a first optimized packaging control space that meets the capacity of the first optimization scheme; optimize the first optimized packaging control space to maximize the packaging control fitness according to the packaging control fitness function, and generate the first packaging control optimal adjustment result.

[0009] In a possible implementation, the bag packaging machine is optimally adjusted feature-associated according to the first product packaging basic information and the first product packaging bag information, and a first packaging control optimal adjustment constraint space is established. The following processing is also performed: the packaging machine model information of the bag packaging machine is obtained; packaging control associated samples are retrieved according to the packaging machine model information, the first product packaging basic information and the first product packaging bag information, and an associated packaging control scheme sample set is generated; packaging control feature trigger intervals are identified according to the associated packaging control scheme sample set, and a packaging control feature trigger interval set is obtained; the packaging control feature constraint information of the bag packaging machine is collected, and a packaging control feature constraint interval set is generated; the intersection of the packaging control feature trigger interval set and the packaging control feature constraint interval set is obtained, and the first packaging control optimal adjustment constraint space is generated.

[0010] In a possible implementation, the first adjustment packaging control space is constrainedly optimized according to the packaging control multi-feature evaluation constraint to generate a first optimal packaging control space that meets the capacity of the first optimization solution, and the following processing is also performed: according to the first adjustment packaging control space, the first adjustment packaging control solution is extracted; the first adjustment packaging control solution is evaluated according to the packaging control multi-feature prediction evaluation channel to obtain a first adjustment solution packaging control evaluation result; it is determined whether the first adjustment solution packaging control evaluation result meets the packaging control multi-feature evaluation constraint; if the first adjustment solution packaging control evaluation result meets the packaging control multi-feature evaluation constraint, the first adjustment packaging control solution is added to the first optimal packaging control space; the first adjustment packaging control space is continued to be constrained optimized according to the packaging control multi-feature evaluation constraint until the real-time solution capacity of the first optimal packaging control space meets the first optimization solution capacity, and a first optimization end instruction is generated.

[0011] In a possible implementation, the packaging control fitness function is activated, the first packaging control scheme is optimized and adjusted in combination with the packaging control multi-feature evaluation constraint, and the following processing is also performed: the packaging control fitness function is:

[0012] ;

[0013] Among them, PCF represents the packaging control fitness, PCA represents the packaging sealing performance prediction coefficient, PCB represents the packaging efficiency prediction evaluation coefficient, PCC represents the packaging energy consumption prediction evaluation coefficient, and α, β, and γ represent the packaging control fitness calculation weight conditions.

[0014] The present application also provides an automatic packaging control device for a bag packaging machine, comprising:

[0015] a first packaging task obtaining module, the first packaging task obtaining module is used to obtain a first packaging task of the bag packaging machine, wherein the first packaging task includes a first product to be packaged, first product packaging basic information and first product packaging bag information; a first packaging control scheme obtaining module, the first packaging control scheme obtaining module is used to obtain a first packaging control scheme according to a packaging control decision model based on the first product packaging basic information and the first product packaging bag information; a first packaging control scheme evaluation module, the first packaging control scheme evaluation module is used to evaluate the first packaging control scheme according to a packaging control multi-feature prediction evaluation channel to obtain a first scheme packaging control evaluation result; An evaluation constraint judgment module, the evaluation constraint judgment module is used to judge whether the first scheme packaging control evaluation result meets the packaging control multi-feature evaluation constraint; an optimization adjustment result generation module, the first packaging control optimization adjustment result generation module is used to activate the packaging control fitness function if the first scheme packaging control evaluation result does not meet the packaging control multi-feature evaluation constraint, and optimize the first packaging control scheme in combination with the packaging control multi-feature evaluation constraint to generate a first packaging control optimization adjustment result; a packaging control module, the packaging control module is used to perform packaging control on the first product to be packaged based on the bag packaging machine and according to the first packaging control optimization adjustment result.

[0016] Through the automated packaging control method and device for bag packaging machines proposed in this application, the first packaging task of the bag packaging machine is obtained; according to the packaging control decision model, the first packaging control scheme is obtained; the first packaging control scheme is evaluated to obtain the first scheme packaging control evaluation result; it is determined whether the first scheme packaging control evaluation result meets the packaging control multi-feature evaluation constraint; if not, the packaging control fitness function is activated to generate the first packaging control optimization adjustment result; and the first product to be packaged is packaged and controlled. The technical problem that the packaging control of the existing bag packaging machine cannot flexibly set the packaging parameters according to the packaging requirements of different products, which leads to low packaging production efficiency and poor quality stability and consistency of the packaging products is solved, and the technical effect of improving packaging production efficiency and packaging product quality is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the accompanying drawings of the embodiment of the present disclosure will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the device according to the embodiment of the present application. It should be understood that the previous or following operations are not necessarily performed precisely in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0018] Figure 1 A schematic flow chart of an automated packaging control method for a bag packaging machine provided in an embodiment of the present application;

[0019] Figure 2 A schematic structural diagram of an automated packaging control device for a bag packaging machine provided in an embodiment of the present application.

[0020] Explanation of the accompanying drawings: first packaging task obtaining module 10, first packaging control scheme obtaining module 20, first packaging control scheme evaluation module 30, evaluation constraint judgment module 40, optimal adjustment result generation module 50, packaging control module 60. DETAILED DESCRIPTION

[0021] 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 in accordance with the contents of the specification. 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 listed below.

[0022] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0023] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, device, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0024] The present application embodiment provides an automated packaging control method for a bag packaging machine, such as Figure 1 As shown, the method includes:

[0025] Step S100, obtain the first packaging task of the bag packaging machine, wherein the first packaging task includes the first product to be packaged, the first product basic packaging information and the first product packaging bag information. The first product to be packaged refers to a specific product that needs to be packaged by the bag packaging machine, such as hot pot food, which may include various hot pot bases, semi-finished products or ready-to-eat foods of hot pot ingredients (such as meat, seafood, vegetables, etc.). When packaging, it is usually necessary to consider its shelf life, storage conditions (such as whether it needs to be refrigerated or frozen), moisture-proof and leak-proof characteristics to ensure that the quality and safety of the product are maintained during the packaging and transportation process; the first product packaging basic information refers to the product packaging specifications, packaging materials and packaging labels, etc. Specifically, the packaging specifications include the size and capacity of the packaging, etc., which need to be determined according to the specific form and quantity of the hot pot food. For example, if it is a hot pot base, the weight or volume of each package needs to be considered; if it is a hot pot ingredient, it needs to be packaged by quantity or type; common packaging materials include paper bags, plastic bags, etc. material bags, aluminum foil bags, etc.; packaging labels include product name, production date, shelf life, manufacturer, ingredient list, nutritional composition table, storage conditions, methods of consumption and other information; first product packaging bag information refers to relevant information of the packaging bag, including packaging bag type, packaging bag size and packaging bag printing, etc. Specifically, choose the appropriate packaging bag type according to the characteristics of hot pot food, such as self-supporting bags, flat bags, zipper bags, etc. Different types of packaging bags differ in sealing, portability, display effect, etc.; determine the size of the packaging bag according to the packaging specifications of the hot pot food to ensure that the product can fit tightly into the packaging bag to reduce space waste; the printed content on the packaging bag usually includes product name, brand logo, pattern design, etc. These elements need to be carefully designed to attract consumers' attention and convey product information.

[0026] Step S200, based on the first product packaging basic information and the first product packaging bag information, obtain the first packaging control solution according to the packaging control decision model. The packaging control decision model processes and analyzes the input packaging basic information and packaging bag information according to preset rules and logics, and considers multiple factors, such as product protection requirements, packaging costs, production efficiency, equipment compatibility, etc., to find the best packaging solution. Specifically, various data related to packaging are collected, including historical packaging data, packaging bag data, packaging machine data, etc., and these data are pre-processed (including cleaning, conversion, etc.), and then a decision model is constructed based on the results of the demand analysis, such as based on a decision tree, a neural network, etc., and the pre-processed data is divided into a training set and a test set, and the training set data is used to train the decision model, and the model performance is optimized by adjusting the decision model parameters, and the trained model is evaluated using the test set data to verify the accuracy of the model. The final packaging control decision model is obtained by optimizing the accuracy and generalization ability, and deployed in the actual packaging control system. The basic packaging information of the first product and the packaging bag information of the first product are input into the constructed packaging control decision model to generate the first packaging control plan, which may include packaging process design, detailing the entire packaging process from product loading, metering, bagging, sealing to finished product output; equipment parameter setting, setting various parameters of the packaging machine according to product characteristics and packaging requirements, such as sealing temperature, pressure, time, bag length, bag width adjustment, etc.; quality inspection and control, formulating quality inspection standards and control measures in the packaging process to ensure that the packaging quality meets the requirements; abnormal handling plan, formulating corresponding handling plans and emergency measures for possible abnormal situations (such as packaging damage, loose sealing, etc.).

[0027] Step S300, the first packaging control scheme is evaluated according to the packaging control multi-feature prediction and evaluation channel to obtain the first scheme packaging control evaluation result. The first packaging control scheme is evaluated according to the packaging control multi-feature prediction and evaluation channel to verify and evaluate the performance of the first packaging control scheme in multiple key features to ensure that it can meet the expected packaging requirements and standards. Specifically, the packaging control features may include packaging efficiency, packaging performance, cost-effectiveness, environmental friendliness, etc. Based on these key features, a corresponding prediction and evaluation model is established, and multiple prediction and evaluation models are integrated to obtain a packaging control multi-feature prediction and evaluation channel, which can receive the packaging control scheme as input and output the prediction and evaluation results on each feature. The first packaging control scheme is imported into the packaging control multi-feature prediction and evaluation channel as input data, and the effect of the first packaging control scheme in improving the packaging speed is analyzed respectively; the ability of the first packaging control scheme in protecting the product from damage, ensuring the sealing quality, and avoiding packaging damage is checked; the performance of the first packaging control scheme in reducing packaging costs and improving material utilization is evaluated; the environmental performance of the first packaging control scheme in reducing waste and using recyclable materials is analyzed. The evaluation results on these features are the first scheme packaging control evaluation results.

[0028] In a possible implementation, step S300 further includes step S310, wherein the packaging control multi-feature prediction and evaluation channel includes a packaging sealing performance prediction and evaluation channel, a packaging efficiency prediction and evaluation channel, and a packaging energy consumption prediction and evaluation channel. The packaging sealing performance prediction and evaluation channel is used to predict and evaluate the performance of the packaging solution in terms of sealing performance, to ensure that the product is not affected by external factors (such as oxygen, moisture, microorganisms, etc.) during the packaging process and subsequent storage and transportation, and to establish a prediction model for packaging sealing performance based on historical data to predict the sealing performance under different packaging materials and sealing processes; the packaging efficiency prediction and evaluation channel is used to predict and evaluate the performance of the packaging solution in terms of efficiency, including packaging speed, degree of automation, labor cost, etc., to construct a prediction model for packaging efficiency, which takes into account multiple factors such as the performance of the packaging machine, the design of the packaging process, and staffing; the packaging energy consumption prediction and evaluation channel is used to predict and evaluate the performance of the packaging solution in terms of energy consumption, including power consumption and heat energy consumption during the packaging process, to construct a prediction model for packaging energy consumption, which takes into account multiple factors such as the energy consumption of the packaging machine and the energy loss in the packaging process.

[0029] Step S320: Based on the first packaging control scheme and the packaging sealing performance prediction and evaluation channel, a first packaging sealing performance prediction coefficient is obtained. The relevant parameters of the first packaging control scheme (such as packaging material type, thickness, sealing temperature, sealing pressure, etc.) are input into the packaging sealing performance prediction and evaluation channel, and the sealing performance of the first packaging control scheme is predicted and calculated using the packaging sealing performance prediction and evaluation channel to obtain the first packaging sealing performance prediction coefficient. This coefficient is usually a value between 0 and 1, which is used to indicate the relative advantages and disadvantages of the packaging scheme in terms of sealing performance. The higher the coefficient, the better the sealing performance of the packaging scheme; conversely, the worse the sealing performance.

[0030] Step S330: Based on the first packaging control scheme and the packaging efficiency prediction and evaluation channel, a first packaging efficiency prediction and evaluation coefficient is obtained. The relevant parameters of the first packaging control scheme (such as packaging machine model, speed, production capacity, packaging process design, staffing, material processing time, etc.) are input into the packaging efficiency prediction and evaluation channel, and the efficiency of the first packaging control scheme is predicted and calculated using the packaging efficiency prediction and evaluation channel to calculate key indicators such as production efficiency, labor cost savings, and production process optimization degree of the packaging scheme under specific conditions. The result of the prediction and calculation is converted into a quantitative prediction and evaluation coefficient, which is usually between 0 and 1 and is used to indicate the relative advantages and disadvantages of the packaging scheme in terms of efficiency. The higher the coefficient, the higher the efficiency of the packaging scheme and the better the optimization effect on the production process; otherwise, it indicates that the efficiency is low and needs further optimization.

[0031] Step S340: Based on the first packaging control scheme and the packaging energy consumption prediction and evaluation channel, a first packaging energy consumption prediction and evaluation coefficient is obtained. The relevant parameters of the first packaging control scheme (such as energy consumption parameters of packaging equipment, packaging process design, energy consumption performance of packaging materials, production scale, etc.) are input into the packaging energy consumption prediction and evaluation channel, and the energy consumption of the first packaging control scheme is predicted and calculated using the packaging energy consumption prediction and evaluation channel to calculate key indicators such as energy consumption and energy efficiency of the packaging scheme under specific production conditions. The result of the prediction and calculation is converted into a quantitative prediction and evaluation coefficient, which is usually between 0 and 1 and is used to indicate the relative advantages and disadvantages of the packaging scheme in terms of energy consumption control. The higher the coefficient, the better the energy consumption control effect of the packaging scheme, the lower the energy consumption, and the smaller the impact on the environment; otherwise, it indicates that the energy consumption control effect is poor.

[0032] Step S350: Add the first package sealing performance prediction coefficient, the first package efficiency prediction evaluation coefficient, and the first package energy consumption prediction evaluation coefficient to the first solution packaging control evaluation result. The first package sealing performance prediction coefficient, the first package efficiency prediction evaluation coefficient, and the first package energy consumption prediction evaluation coefficient are summarized, that is, added to the first solution packaging control evaluation result to comprehensively reflect the advantages and disadvantages of the first packaging control solution.

[0033] In a possible implementation, step S320 further includes step S321, wherein the package sealing performance prediction and evaluation channel includes K package sealing performance prediction and evaluation models, wherein K is a positive integer greater than 1. When using the package sealing performance prediction and evaluation channel to predict and evaluate the package sealing performance, K different prediction and evaluation models are used to jointly predict and evaluate, which can more comprehensively consider various factors affecting the package sealing performance and improve the accuracy and reliability of the prediction. Step S322, input the first product packaging basic information, the first product packaging bag information and the first packaging control scheme into the K package sealing performance prediction and evaluation models to obtain K package sealing performance prediction and evaluation values. The first product packaging basic information, the first product packaging bag information and the first packaging control scheme are input into the K package sealing performance prediction and evaluation models, and each model will perform independent calculation and analysis based on the input information, thereby obtaining its own prediction and evaluation value for the package sealing performance, that is, obtaining K package sealing performance prediction and evaluation values, which reflects the evaluation result of the model on the package sealing performance.

[0034] Step S323, performing concentrated value calculation according to the K package sealing performance prediction evaluation values ​​to generate the first package sealing performance prediction coefficient. The concentrated value calculation is used to aggregate the K package sealing performance prediction evaluation values ​​into one value, for example, selecting an appropriate concentrated value calculation method (such as weighted average) to integrate the K prediction evaluation values, thereby generating the first package sealing performance prediction coefficient, which is used to represent the overall performance of the first packaging control solution in terms of sealing performance, and integrates the prediction results of multiple models, so as to more comprehensively reflect the sealing performance of the packaging solution.

[0035] Step S400, determine whether the packaging control evaluation result of the first solution meets the packaging control multi-feature evaluation constraint. Compare and analyze the packaging control evaluation result of the first solution with each packaging control multi-feature evaluation constraint condition one by one to determine whether the solution comprehensively and effectively meets the expected packaging control requirements and standards. Specifically, the packaging control multi-feature evaluation constraint may include packaging efficiency, requiring the packaging process to be efficient and fast, reducing waiting time and labor costs; packaging performance, ensuring that the packaging can protect the product from damage and has good sealing, moisture resistance, oxidation resistance, etc.; cost-effectiveness, while ensuring packaging performance, minimize packaging costs and material consumption; environmental friendliness, using environmentally friendly materials, reducing waste generation, and meeting the requirements of green packaging. Check the score and description of packaging efficiency in the packaging control evaluation results of the first option respectively to determine whether it has met the expected efficiency requirements; analyze the various indicators of packaging quality in the packaging control evaluation results of the first option (such as sealing, moisture resistance, oxidation resistance, etc.) to confirm whether it meets the needs of product protection; compare the cost-benefit analysis in the packaging control evaluation results of the first option to see whether it has ensured packaging quality while reducing packaging costs; evaluate the description of environmental performance in the packaging control evaluation results of the first option to confirm whether the packaging solution uses environmentally friendly materials and reduces waste generation.

[0036] Step S500: If the packaging control evaluation result of the first solution does not satisfy the packaging control multi-feature evaluation constraint, activate the packaging control fitness function, optimize the first packaging control solution in combination with the packaging control multi-feature evaluation constraint, and generate a first packaging control optimization adjustment result. If the first scheme packaging control evaluation result has some constraints that are not fully met or have obvious shortcomings, it is considered that the scheme does not meet the packaging control multi-feature evaluation constraints, then the packaging control fitness function is activated, and the first packaging control scheme is optimized and adjusted in combination with the packaging control multi-feature evaluation constraints. Among them, the packaging control fitness function is used to measure the pros and cons of the packaging control scheme, and is usually defined according to the packaging control multi-feature evaluation constraints. Specifically, firstly, a detailed analysis is conducted on which evaluation constraints the first packaging control scheme fails to meet, and the root cause of the problem is found. According to the analysis results, a clear optimization goal is set, that is, which aspects of performance are improved to meet the evaluation constraints, and a suitable optimization algorithm is selected, such as genetic algorithm, particle swarm optimization algorithm, simulated annealing algorithm, etc., to adjust the parameters of the packaging control scheme. These parameters may include the type and thickness of packaging materials, the size and shape of packaging bags, the operating parameters of packaging machines, etc. Through multiple iterations, the algorithm continuously tries new packaging control schemes in the search space, and selects a better scheme according to the evaluation value of the fitness function. Each iteration may bring about an improvement in the performance of the scheme until all evaluation constraints are met, and the first packaging control optimization adjustment result is generated, that is, the optimal packaging control scheme is obtained.

[0037] In a possible implementation, step S500 further includes step S510, in which the bag packaging machine is optimally adjusted feature-associated according to the first product packaging basic information and the first product packaging bag information, and a first packaging control optimal adjustment constraint space is established. Identify the adjustable parameters or features in the bag packaging machine, such as sealing temperature, sealing pressure, packaging speed, packaging bag conveying speed, cutting position, etc. These features will directly affect the quality and efficiency of packaging, and associate the first product packaging basic information and the first product packaging bag information with the various adjustable features of the bag packaging machine. For example, the weight and material of the product may affect the selection of sealing temperature and pressure; the specifications and materials of the packaging bag may affect the setting of packaging speed and cutting position. Based on the results of the association analysis, determine the optimization goals, which may include improving packaging sealing, reducing packaging breakage rate, improving packaging efficiency, reducing energy consumption, etc. According to the optimization objectives and the specific requirements of the products and packaging bags, a series of constraints are set. For example, the sealing temperature must be within a certain range to ensure the sealing effect while avoiding overheating and damaging the packaging bags; the sealing pressure must be large enough to form an effective seal, but not too large to avoid crushing the packaging bags; the packaging speed must match the speed of the product production line to ensure packaging efficiency; the cutting position must be precise to avoid waste of packaging bags or damage to products; and then a multi-dimensional constraint space is constructed based on these constraints. Within this space, the values ​​of each adjustable feature are subject to certain restrictions, but within this restriction, the optimal combination of control parameters can be found.

[0038] Step S520, the first packaging control scheme is adjusted according to the first packaging control optimal adjustment constraint space to generate a first adjustment packaging control space that meets the capacity of the first adjustment scheme. In the optimal adjustment constraint space, each parameter in the first packaging control scheme is adjusted to find a more optimal control parameter combination. Specifically, according to the constraint conditions, the control parameters to be adjusted are selected, which may be sealing temperature, sealing pressure, packaging speed, packaging bag conveying speed, etc. In the constraint space, the selected control parameters are adjusted. After each adjustment, the packaging effect needs to be evaluated. After multiple iterative adjustments, when a set of control parameter combinations is found so that the packaging effect is optimal under the premise of meeting all constraints, this set of control parameters constitutes the first adjustment packaging control space. This space is a set that meets the capacity of the first adjustment scheme (i.e., meets specific packaging requirements and efficiency requirements), and contains multiple possible optimal control parameter combinations.

[0039] Step S530, according to the packaging control multi-feature evaluation constraint, the first adjustment packaging control space is constrained to be optimized, and the first optimization packaging control space that meets the capacity of the first optimization solution is generated. In the first adjustment packaging control space, multiple feature evaluation indicators and constraints of packaging control are further considered, and the optimal packaging control parameter combination is found through the optimization algorithm to meet higher packaging quality and efficiency requirements. Specifically, the multi-feature evaluation constraint is used as the constraint of the optimization algorithm. According to the complexity of the problem and the characteristics of the constraint, the optimization algorithm (such as genetic algorithm, particle swarm algorithm, simulated annealing algorithm, etc.) is used for search, and the control parameters in the first adjustment packaging control space are further adjusted, and the packaging effect after each adjustment is evaluated. Through multiple iterations of adjustment and optimization, the optimal solution is gradually approached. In each iteration, the parameters or strategies of the optimization algorithm are adjusted according to the evaluation results to improve the search efficiency and accuracy. Finally, multiple groups of packaging control parameter combinations that meet all constraints are obtained, which constitute the first optimization packaging control space. Each control parameter combination in this space can achieve higher packaging efficiency and lower cost under the premise of ensuring packaging quality.

[0040] Step S540, according to the packaging control fitness function, the first packaging control space is optimized for packaging control fitness maximization, and the first packaging control optimization adjustment result is generated. In the first packaging control space, fitness evaluation is performed on each packaging control parameter combination, that is, each parameter combination is substituted into the packaging control fitness function for calculation to obtain the corresponding fitness value, and then the packaging control fitness maximization optimization is performed. The goal is to find the parameter combination with the highest fitness value in the first packaging control space. Specifically, the optimization algorithm (such as genetic algorithm, particle swarm algorithm, etc.) is used to automatically find the optimal solution or the parameter combination close to the optimal solution in the search space to obtain the packaging control parameter combination with the highest fitness value, which is the first packaging control optimization adjustment result, which represents the packaging control parameter combination that can achieve the optimal packaging effect under the current constraints, and can be directly applied to actual packaging production to improve packaging quality and efficiency.

[0041] In a possible implementation, step S510 further includes step S511, obtaining packaging machine model information of the bag packaging machine. The packaging machine model information of the bag packaging machine generally includes important information such as basic specifications, performance parameters, supported packaging types, etc. of the machine, such as manufacturer name, model code, technical specifications, etc.

[0042] Step S512, according to the packaging machine model information, the first product packaging basic information and the first product packaging bag information, packaging control related sample retrieval is performed to generate a related packaging control solution sample set. Using the known packaging machine model information, product packaging basic information (such as size, weight, material, etc.) and packaging bag information (such as size, material, sealing requirements, etc.), packaging control solution samples matching these conditions are retrieved in the database. These samples may be control parameter combinations that have been successfully applied to similar products and packaging conditions. Through retrieval, a related packaging control solution sample set is generated. These solutions may be optimized for different control parameter combinations, process flows or equipment configurations. Each solution is described in detail, including the set values ​​of control parameters, process flow steps, equipment configuration requirements, etc. At the same time, it can also include information such as the expected effect, potential risks and countermeasures of the solution.

[0043] Step S513, according to the associated packaging control scheme sample set, the packaging control feature trigger interval is identified to obtain the packaging control feature trigger interval set. Based on the associated packaging control scheme sample set, the trigger intervals of various control parameters (such as sealing temperature, sealing pressure, packaging speed, etc.) are further analyzed. The trigger interval refers to the effective range or threshold to which the control parameter needs to be adjusted under specific product and packaging conditions. By identifying these trigger intervals, specifically, the set value and actual operation data of each control feature in different packaging schemes are extracted from the sample set, and the collected data are analyzed to determine the effective operating range of each control feature. According to the statistical analysis results, combined with the performance limitations, product requirements and market standards of the packaging machine, the trigger interval of each control feature is determined, indicating that the set value of the control feature within this range can meet the packaging requirements and remain stable, and then the packaging control feature trigger interval set is generated, ensuring the stability and consistency of packaging quality and efficiency.

[0044] Step S514, collect the packaging control feature constraint information of the bag packaging machine and generate a packaging control feature constraint interval set. Collect the control feature constraint information of the bag packaging machine in actual operation, which may come from the physical limitations of the machine (such as maximum / minimum sealing temperature, pressure, etc.), safety specifications, operating manuals, etc., identify the key control features that have an important impact on packaging quality and efficiency from the collected information, which may be physical quantities such as temperature, pressure, speed, position, or a combination thereof, analyze the constraint conditions of each key control feature, which may include maximum value, minimum value, fluctuation range, response time, etc. For example, the sealing temperature may have an optimal working range, and exceeding this range may affect the sealing quality; the packaging speed may be limited by the mechanical structure and transmission system and cannot be increased indefinitely; finally, the constraint conditions of each key control feature obtained by analysis are integrated together to form a constraint information set, that is, a packaging control feature constraint interval set, which includes the constraint conditions and restriction ranges of all key control features.

[0045] Step S515, obtain the intersection of the packaging control feature trigger interval set and the packaging control feature constraint interval set to generate the first packaging control optimal adjustment constraint space. The first packaging control optimal adjustment constraint space is generated by obtaining the intersection of the packaging control feature trigger interval set and the packaging control feature constraint interval set. This constraint space contains both the control parameter trigger interval required to meet specific product and packaging conditions and the actual operation constraints of the bag packaging machine. In this constraint space, the optimal packaging control parameter combination can be found to maximize packaging quality and efficiency.

[0046] In a possible implementation, step S530 further includes step S531, extracting a first adjustment packaging control scheme according to the first adjustment packaging control space, and randomly selecting a packaging control scheme from the first adjustment packaging control space as the first adjustment packaging control scheme.

[0047] Step S532, evaluate the first adjustment packaging control scheme according to the packaging control multi-feature prediction and evaluation channel to obtain the first adjustment scheme packaging control evaluation result. The first adjustment packaging control scheme is input into the packaging control multi-feature prediction and evaluation channel for prediction and evaluation, and the expected performance of each control feature in the packaging process is calculated to obtain the prediction coefficients of packaging sealing performance, packaging efficiency, packaging energy consumption, etc., and finally the first adjustment scheme packaging control evaluation result is obtained comprehensively.

[0048] Step S533, judging whether the packaging control evaluation result of the first adjustment scheme satisfies the packaging control multi-feature evaluation constraint. Compare the packaging control evaluation result of the first adjustment scheme with the preset packaging control multi-feature evaluation constraint to determine whether the scheme satisfies all necessary conditions and restrictions.

[0049] Step S534: If the evaluation result of the first adjustment scheme packaging control satisfies the packaging control multi-feature evaluation constraint, the first adjustment packaging control scheme is added to the first optimal packaging control space. If the evaluation result of the first adjustment scheme packaging control satisfies all evaluation constraints, indicating that the scheme is a feasible solution, it is added to an optimal packaging control space, which is used to collect all packaging control schemes that meet the conditions.

[0050] Step S535, continue to perform constraint optimization on the first adjustment packaging control space according to the packaging control multi-feature evaluation constraint, until the real-time solution capacity of the first optimization packaging control space meets the first optimization solution capacity, and generate the first optimization end instruction. After adding the first solution that meets the conditions, continue to extract new solutions from the adjustment packaging control space, and perform the same evaluation and optimization process. This process will continue until the number of solutions in the optimization packaging control space reaches the preset optimization solution capacity. In this process, certain strategies (such as genetic algorithm, particle swarm optimization, etc.) may be used to continuously optimize and adjust the control parameter combination in order to find more and better solutions.

[0051] In a possible implementation, step S500 further includes: the packaging control fitness function is:

[0052] ;

[0053] Among them, PCF represents the packaging control fitness, PCA represents the packaging sealing performance prediction coefficient, PCB represents the packaging efficiency prediction evaluation coefficient, PCC represents the packaging energy consumption prediction evaluation coefficient, and α, β, and γ represent the packaging control fitness calculation weight conditions.

[0054] Step S600: Based on the bag packaging machine, the first product to be packaged is packaged and controlled according to the first packaging control optimization adjustment result. The first packaging control optimization adjustment result is applied to the bag packaging machine, and various parameters of the bag packaging machine, such as packaging speed, sealing temperature, material filling amount, etc., are adjusted according to the optimization adjustment result to achieve accurate, efficient and stable packaging of the first product to be packaged and meet the packaging requirements of the first product to be packaged.

[0055] In the above, refer to Figure 1 The automatic packaging control method for a bag packaging machine according to an embodiment of the present invention is described in detail. Figure 2 An automatic packaging control device for a bag packaging machine according to an embodiment of the present invention is described.

[0056] The automatic packaging control device for a bag packaging machine according to an embodiment of the present invention is used to solve the technical problem that the packaging control of the existing bag packaging machine cannot flexibly set the packaging parameters according to the packaging requirements of different products, thereby resulting in low packaging production efficiency and poor quality stability and consistency of the packaging products, thereby achieving the technical effect of improving packaging production efficiency and packaging product quality. The automatic packaging control device for a bag packaging machine includes: a first packaging task acquisition module 10, a first packaging control scheme acquisition module 20, a first packaging control scheme evaluation module 30, an evaluation constraint judgment module 40, an optimal adjustment result generation module 50, and a packaging control module 60.

[0057] A first packaging task obtaining module 10, the first packaging task obtaining module 10 is used to obtain a first packaging task of a bag packaging machine, wherein the first packaging task includes a first product to be packaged, basic packaging information of the first product, and packaging bag information of the first product;

[0058] A first packaging control solution obtaining module 20, the first packaging control solution obtaining module 20 is used to obtain a first packaging control solution according to a packaging control decision model based on the first product packaging basic information and the first product packaging bag information;

[0059] A first packaging control scheme evaluation module 30, the first packaging control scheme evaluation module 30 is used to evaluate the first packaging control scheme according to the packaging control multi-feature prediction evaluation channel to obtain a first scheme packaging control evaluation result;

[0060] An evaluation constraint judgment module 40, the evaluation constraint judgment module 40 is used to judge whether the first scheme packaging control evaluation result satisfies the packaging control multi-feature evaluation constraint;

[0061] An optimal adjustment result generating module 50, wherein the optimal adjustment result generating module 50 is used to activate the packaging control fitness function if the packaging control evaluation result of the first solution does not satisfy the packaging control multi-feature evaluation constraint, and to optimize the first packaging control solution in combination with the packaging control multi-feature evaluation constraint to generate a first packaging control optimal adjustment result;

[0062] The packaging control module 60 is used to perform packaging control on the first product to be packaged based on the bag packaging machine and according to the first packaging control optimization adjustment result.

[0063] The specific configuration of the first packaging control scheme evaluation module 30 will be described in detail below. The first packaging control scheme evaluation module 30 may further include: the packaging control multi-feature prediction evaluation channel includes a packaging sealing performance prediction evaluation channel, a packaging efficiency prediction evaluation channel and a packaging energy consumption prediction evaluation channel; based on the first packaging control scheme, according to the packaging sealing performance prediction evaluation channel, a first packaging sealing performance prediction coefficient is obtained; based on the first packaging control scheme, according to the packaging efficiency prediction evaluation channel, a first packaging efficiency prediction evaluation coefficient is obtained; based on the first packaging control scheme, according to the packaging energy consumption prediction evaluation channel, a first packaging energy consumption prediction evaluation coefficient is obtained; the first packaging sealing performance prediction coefficient, the first packaging efficiency prediction evaluation coefficient and the first packaging energy consumption prediction evaluation coefficient are added to the first scheme packaging control evaluation result.

[0064] The specific configuration of the first packaging control scheme evaluation module 30 will be described in detail below. The first packaging control scheme evaluation module 30 further includes: the packaging sealing performance prediction evaluation channel includes K packaging sealing performance prediction evaluation models, wherein K is a positive integer greater than 1; the first product packaging basic information, the first product packaging bag information and the first packaging control scheme are input into the K packaging sealing performance prediction evaluation models to obtain K packaging sealing performance prediction evaluation values; the concentrated value calculation is performed according to the K packaging sealing performance prediction evaluation values ​​to generate the first packaging sealing performance prediction coefficient.

[0065] The specific configuration of the optimization adjustment result generation module 50 will be described in detail below. The optimization adjustment result generation module 50 may further include: performing optimization adjustment feature association on the bag packaging machine according to the first product packaging basic information and the first product packaging bag information, and establishing a first packaging control optimization adjustment constraint space; adjusting the first packaging control scheme according to the first packaging control optimization adjustment constraint space, and generating a first adjustment packaging control space that meets the capacity of the first adjustment scheme; performing constraint optimization on the first adjustment packaging control space according to the packaging control multi-feature evaluation constraint, and generating a first optimization packaging control space that meets the capacity of the first optimization scheme; performing packaging control fitness maximization optimization on the first optimization packaging control space according to the packaging control fitness function, and generating the first packaging control optimization adjustment result.

[0066] The specific configuration of the optimal adjustment result generation module 50 will be described in detail below. The optimal adjustment result generation module 50 may further include: obtaining the packaging machine model information of the bag packaging machine; performing packaging control associated sample retrieval according to the packaging machine model information, the first product packaging basic information and the first product packaging bag information to generate an associated packaging control solution sample set; performing packaging control feature trigger interval identification according to the associated packaging control solution sample set to obtain a packaging control feature trigger interval set; collecting packaging control feature constraint information of the bag packaging machine to generate a packaging control feature constraint interval set; obtaining the intersection of the packaging control feature trigger interval set and the packaging control feature constraint interval set to generate the first packaging control optimal adjustment constraint space.

[0067] The specific configuration of the optimal adjustment result generation module 50 will be described in detail below. The optimal adjustment result generation module 50 may further include: extracting a first adjustment packaging control scheme according to the first adjustment packaging control space; evaluating the first adjustment packaging control scheme according to the packaging control multi-feature prediction evaluation channel to obtain a first adjustment scheme packaging control evaluation result; judging whether the first adjustment scheme packaging control evaluation result satisfies the packaging control multi-feature evaluation constraint; if the first adjustment scheme packaging control evaluation result satisfies the packaging control multi-feature evaluation constraint, adding the first adjustment packaging control scheme to the first optimal packaging control space; continuing to perform constraint optimization on the first adjustment packaging control space according to the packaging control multi-feature evaluation constraint until the real-time solution capacity of the first optimal packaging control space meets the first optimal solution capacity, and generating a first optimization end instruction.

[0068] The specific configuration of the optimal adjustment result generation module 50 will be described in detail below. The optimal adjustment result generation module 50 may further include: the packaging control fitness function is:

[0069] ;

[0070] Among them, PCF represents the packaging control fitness, PCA represents the packaging sealing performance prediction coefficient, PCB represents the packaging efficiency prediction evaluation coefficient, PCC represents the packaging energy consumption prediction evaluation coefficient, and α, β, and γ represent the packaging control fitness calculation weight conditions.

[0071] The automatic packaging control device for a bag packaging machine provided in an embodiment of the present invention can execute the automatic packaging control method for a bag packaging machine provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0072] Although the present application makes various references to certain modules in the device according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0073] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. An automatic packaging control method for a bag packaging machine, characterized in that: The method comprises: Obtaining a first packaging task of a bag packaging machine, wherein the first packaging task includes a first product to be packaged, basic packaging information of the first product, and packaging bag information of the first product; Based on the first product packaging basic information and the first product packaging bag information, and according to the packaging control decision model, a first packaging control solution is obtained; The first packaging control scheme is evaluated according to the packaging control multi-feature prediction evaluation channel to obtain a packaging control evaluation result of the first scheme, including: The packaging control multi-feature prediction and evaluation channel includes a packaging sealing performance prediction and evaluation channel, a packaging efficiency prediction and evaluation channel, and a packaging energy consumption prediction and evaluation channel. Based on the first packaging control scheme, according to the packaging sealing performance prediction evaluation channel, a first packaging sealing performance prediction coefficient is obtained, Based on the first packaging control scheme and according to the packaging efficiency prediction and evaluation channel, a first packaging efficiency prediction and evaluation coefficient is obtained. Based on the first packaging control scheme, and according to the packaging energy consumption prediction and evaluation channel, a first packaging energy consumption prediction and evaluation coefficient is obtained, adding the first packaging sealing performance prediction coefficient, the first packaging efficiency prediction evaluation coefficient, and the first packaging energy consumption prediction evaluation coefficient to the first solution packaging control evaluation result; Determining whether the packaging control evaluation result of the first solution satisfies the packaging control multi-feature evaluation constraint; If the packaging control evaluation result of the first solution does not satisfy the packaging control multi-feature evaluation constraint, activate the packaging control fitness function, and optimize the first packaging control solution in combination with the packaging control multi-feature evaluation constraint to generate a first packaging control optimization adjustment result. The packaging control fitness function is: ； Among them, PCF represents the packaging control fitness, PCA represents the packaging sealing performance prediction coefficient, PCB represents the packaging efficiency prediction evaluation coefficient, PCC represents the packaging energy consumption prediction evaluation coefficient, α, β, γ represent the packaging control fitness calculation weight conditions; Based on the bag packaging machine, packaging control is performed on the first product to be packaged according to the first packaging control optimization adjustment result.

2. The automatic packaging control method for a bag packaging machine according to claim 1, characterized in that: Based on the first packaging control scheme, and according to the packaging sealing performance prediction evaluation channel, a first packaging sealing performance prediction coefficient is obtained, including: The package sealing performance prediction and evaluation channel includes K package sealing performance prediction and evaluation models, wherein K is a positive integer greater than 1; Inputting the first product packaging basic information, the first product packaging bag information and the first packaging control scheme into the K packaging sealing performance prediction and evaluation models to obtain K packaging sealing performance prediction and evaluation values; A concentrated value calculation is performed based on the K package sealing performance prediction evaluation values ​​to generate the first package sealing performance prediction coefficient.

3. The automatic packaging control method for a bag packaging machine according to claim 1, characterized in that: If the packaging control evaluation result of the first solution does not satisfy the packaging control multi-feature evaluation constraint, activating the packaging control fitness function, optimizing and adjusting the first packaging control solution in combination with the packaging control multi-feature evaluation constraint, and generating a first packaging control optimization adjustment result, including: According to the first product packaging basic information and the first product packaging bag information, the bag packaging machine is optimally adjusted and associated with features, and a first packaging control optimal adjustment constraint space is established; The first packaging control scheme is adjusted according to the first packaging control optimal adjustment constraint space to generate a first adjustment packaging control space that satisfies the capacity of the first adjustment scheme; Performing constraint optimization on the first adjusted packaging control space according to the packaging control multi-feature evaluation constraint to generate a first optimized packaging control space that satisfies the capacity of the first optimization solution; The first optimal packaging control space is optimized for maximizing the packaging control fitness function to generate the first optimal packaging control adjustment result.

4. The automatic packaging control method for a bag packaging machine according to claim 3, characterized in that: According to the first product packaging basic information and the first product packaging bag information, the bag packaging machine is optimally adjusted and feature-associated to establish a first packaging control optimal adjustment constraint space, including: Obtaining packaging machine model information of the bag packaging machine; Retrieve packaging control related samples according to the packaging machine model information, the first product packaging basic information and the first product packaging bag information to generate a related packaging control solution sample set; Performing packaging control feature triggering interval identification according to the associated packaging control scheme sample set to obtain a packaging control feature triggering interval set; Collecting packaging control feature constraint information of the bag packaging machine and generating a packaging control feature constraint interval set; The intersection of the packaging control feature triggering interval set and the packaging control feature constraint interval set is obtained to generate the first packaging control optimization adjustment constraint space.

5. The automatic packaging control method for a bag packaging machine according to claim 3, characterized in that: The first adjusted packaging control space is subjected to constraint optimization according to the packaging control multi-feature evaluation constraint to generate a first optimized packaging control space that satisfies the capacity of the first optimization solution, including: Extracting a first adjustment and packaging control scheme according to the first adjustment and packaging control space; Evaluate the first adjustment packaging control scheme according to the packaging control multi-feature prediction evaluation channel to obtain a first adjustment scheme packaging control evaluation result; Determining whether the packaging control evaluation result of the first adjustment scheme satisfies the packaging control multi-feature evaluation constraint; If the packaging control evaluation result of the first adjustment scheme satisfies the packaging control multi-feature evaluation constraint, adding the first adjustment packaging control scheme to the first optimal packaging control space; The first adjusted packaging control space is continuously subjected to constrained optimization according to the packaging control multi-feature evaluation constraint until the real-time solution capacity of the first optimized packaging control space meets the first optimized solution capacity, and a first optimization end instruction is generated.

6. An automatic packaging control device for a bag packaging machine, characterized in that: The device is used to implement the automatic packaging control method for a bag packaging machine according to any one of claims 1 to 5, and the device comprises: A first packaging task obtaining module, the first packaging task obtaining module is used to obtain a first packaging task of the bag packaging machine, wherein the first packaging task includes a first product to be packaged, basic packaging information of the first product and packaging bag information of the first product; A first packaging control solution obtaining module, the first packaging control solution obtaining module is used to obtain a first packaging control solution according to a packaging control decision model based on the first product packaging basic information and the first product packaging bag information; A first packaging control scheme evaluation module, the first packaging control scheme evaluation module is used to evaluate the first packaging control scheme according to the packaging control multi-feature prediction evaluation channel to obtain a first scheme packaging control evaluation result; An evaluation constraint judgment module, the evaluation constraint judgment module is used to judge whether the first scheme packaging control evaluation result satisfies the packaging control multi-feature evaluation constraint; The first packaging control optimal adjustment result generation module is used to activate the packaging control fitness function if the first scheme packaging control evaluation result does not meet the packaging control multi-feature evaluation constraint, and optimize the first packaging control scheme in combination with the packaging control multi-feature evaluation constraint to generate a first packaging control optimal adjustment result; A packaging control module is used to perform packaging control on the first product to be packaged based on the bag packaging machine and according to the first packaging control optimization adjustment result.

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