Liquid filling method for shortening bag body based on multi-point liquid level follow-up control

Abstract

The application discloses a bag shortening liquid filling method based on multi-point liquid level follow-up control and relates to the related technical field of liquid filling. By acquiring filling demand parameters, material characteristic parameters are extracted based on filling material information. Package material quality information is acquired, and package material characteristics are acquired based on the package material quality information. In combination with single package filling volume, filling constraint fitting is carried out through a filling fitting model, multi-point liquid level filling control constraint conditions are acquired, parameter range extraction is carried out on different liquid level filling control parameters, and multi-position filling control parameter ranges are acquired. Single-side parameter variation iteration optimization is respectively carried out in the multi-position filling control parameter ranges, a first control scheme is obtained, and multi-liquid level point follow-up filling control is carried out. The technical problem that the liquid filling equipment control scheme in the prior art is difficult to cope with different filling conditions, the liquid splashing and stirring suppression effect is poor, the filling bubble amount is large, and the package bag utilization rate is low is solved.

Description

Technical Field

[0001] This application relates to the technical field of liquid filling, specifically to a method for shortening the bag body and filling liquid based on multi-point liquid level follow-up control. Background Technology

[0002] In the liquid packaging industry, precise liquid filling control is crucial for improving production efficiency and ensuring product quality. Traditional liquid filling methods typically rely on fixed parameter settings. However, due to the diversity of factors such as liquid viscosity, packaging material properties, and filling volume, fixed parameter settings often struggle to cope with variations under different conditions. This can lead to issues such as air bubbles, liquid overflow, or uneven bag expansion during the filling process, resulting in uneven filling and waste of packaging materials.

[0003] Therefore, existing liquid filling equipment control schemes are difficult to cope with different filling conditions, have poor effects on suppressing liquid splashing and agitation, resulting in a large amount of filling air bubbles and low packaging bag utilization. Summary of the Invention

[0004] This application provides a method for shortening the bag length through liquid filling based on multi-point liquid level follow-up control. This solves the technical problems of existing liquid filling equipment control schemes, which struggle to cope with different filling conditions, have poor suppression of liquid splashing and agitation, resulting in large amounts of filling air bubbles and low bag utilization. Through multi-point liquid level follow-up control and dynamic optimization of filling parameters, the method significantly reduces air bubble generation during filling, improves filling uniformity, and effectively shortens the usable length of the packaging bag.

[0005] This application provides a method for bag shortening liquid filling based on multi-point liquid level follow-up control. The method includes: obtaining filling requirement parameters, including single-bag filling volume and filling material information; extracting material characteristic parameters based on the filling material information; obtaining packaging material information and obtaining packaging material characteristics based on the packaging material information; performing filling constraint fitting through a filling fitting model according to the material characteristic parameters, the packaging material characteristics, and the single-bag filling volume to obtain multi-point liquid level filling control constraints; extracting parameter ranges for different liquid level filling control parameters through the multi-point liquid level filling control constraints to obtain a multi-position filling control parameter range; performing iterative optimization of unilateral parameter changes within the multi-position filling control parameter range to obtain the optimal filling control scheme for each liquid level, thus obtaining a first control scheme; and performing multi-liquid-point filling control on the filling equipment based on the first control scheme.

[0006] In the implementation method, extracting material characteristic parameters based on the filling material information includes: extracting key parameters from the filling material information to obtain the material category and material state; extracting the material viscosity corresponding to the material record database according to the material category and material state to obtain the material viscosity parameter; and obtaining the material characteristic parameters according to the material viscosity parameter, the material category, and the material state.

[0007] In the implementation method, obtaining the packaging material characteristics based on the packaging material information includes: the packaging material information includes packaging material information and packaging width information; searching the packaging record database according to the packaging material information to obtain the maximum filling width of the corresponding packaging bag; and obtaining packaging material characteristic parameters based on the maximum filling width and the packaging width.

[0008] In the implementation method, a filling constraint fitting is performed through a filling fitting model to obtain multi-point liquid level filling control constraints. This includes: retrieving filling record data and mining multi-dimensional filling record parameters, which include packaging material characteristic record parameters, material characteristic record parameters, filling volume record parameters, and multi-point liquid level filling equipment control record parameters; constructing a parameter matching layer and a parameter fitting layer based on the multi-dimensional filling record parameters, performing inter-layer connections between the parameter matching layer and the parameter fitting layer to obtain a filling fitting model; and using the filling fitting model to perform filling fitting on the material characteristic parameters, the packaging material characteristics, and the single-package filling volume to obtain the multi-point liquid level filling control constraints.

[0009] In the implementation method, the filling constraint fitting is performed through a filling fitting model to obtain multi-point liquid level filling control constraint conditions. It also includes: inputting the material characteristic parameters, the packaging material characteristics, and the single package filling volume into the filling fitting model, performing parameter expansion matching through the parameter matching layer to obtain expanded matching data; and performing fitting analysis of control parameters using the parameter fitting layer based on the expanded matching data to obtain the multi-point liquid level filling control constraint conditions.

[0010] In the implementation method, obtaining the optimal filling control scheme for each liquid level includes: obtaining the filling control parameter range of the first liquid level point from the multi-point liquid level filling control parameter range; randomly extracting a set of control parameters from the filling control parameter range of the first liquid level point to obtain the original control parameters; randomly extracting one or more control parameter categories and optimizing the parameters based on the original control parameters according to a first adjustment step size with different adjustment directions and different adjustment times, while keeping the remaining control parameter categories unchanged, to obtain multiple initial control schemes; calculating the fitness of each of the multiple initial control schemes using a fitness function, obtaining the initial fitness calculation results, and using the initial control scheme with the highest initial fitness as the basic optimization parameter; and performing basic optimization... The remaining control parameters are optimized in different directions and with different numbers of adjustments to obtain multiple optimized control schemes. Fitness calculations are performed on each of these optimized control schemes using a fitness function, and the optimized fitness calculation results are obtained. The optimized control scheme with the highest fitness is used as the continuous optimization parameter, and a second adjustment step size is set, which is 1 / n+1 of the first adjustment step size, where n is the number of iterations. Based on the continuous optimization parameter and the second adjustment step size, continuous iterative optimization is performed until the preset number of iterations is met, at which point the optimal filling control scheme for the first liquid level is obtained. All liquid levels within the range of the multi-point liquid level filling control parameter are traversed iteratively to obtain the optimal filling control scheme for each liquid level.

[0011] In the implementation method, the fitness of the multiple initial control schemes is calculated using an adaptation function to obtain the initial fitness calculation results. This includes: traversing the control effect of the filling record data according to the multiple initial control schemes to obtain multiple filling head liquid level distances, multiple filling times, and multiple bag lengths corresponding to the multiple initial control schemes; inputting the multiple filling head liquid level distances and multiple filling times into the adaptation function for calculation to obtain the initial fitness calculation results.

[0012] This application proposes a method for shortening the liquid filling of bags based on multi-point liquid level follow-up control. The method includes: acquiring filling requirement parameters, including single-bag filling volume and filling material information; extracting material characteristic parameters based on the filling material information; acquiring packaging material information and its characteristics; fitting filling constraints using a filling fitting model based on the material characteristic parameters, packaging material characteristics, and single-bag filling volume to obtain multi-point liquid level filling control constraints; extracting parameter ranges for different liquid level filling control parameters using the multi-point liquid level filling control constraints to obtain a multi-position filling control parameter range; performing iterative optimization of unilateral parameter changes within the multi-position filling control parameter range to obtain the optimal filling control scheme for each liquid level, resulting in a first control scheme; and performing multi-liquid-point filling control on the filling equipment based on the first control scheme. This method solves the technical problems in existing liquid filling equipment control schemes, such as difficulty in coping with different filling conditions, poor suppression of liquid splashing and agitation, leading to large filling air bubbles and low packaging bag utilization. By using multi-point liquid level follow-up control and dynamic optimization of filling parameters, the generation of air bubbles during the filling process is significantly reduced, the filling uniformity is improved, and the service life of the packaging bag is effectively shortened. Attached Figure Description

[0013] To more clearly illustrate the technical solutions of the embodiments of this disclosure, the accompanying drawings of the embodiments of this disclosure will be briefly described below. Flowcharts are used in this application to illustrate the operations performed by the system according to the embodiments of this application. It should be understood that the preceding or following operations are not necessarily performed precisely in sequence. Instead, various steps can be processed in reverse order or simultaneously as needed. Furthermore, other operations can be added to these processes, or one or more steps can be removed from these processes.

[0014] Figure 1 A schematic diagram of the bag shortening liquid filling method based on multi-point liquid level follow-up control provided in the embodiments of this application; Figure 2 This is a flowchart illustrating the process of extracting material characteristic parameters based on the information of the filling material for a bag shortening liquid filling method based on multi-point liquid level follow-up control, as provided in the embodiments of this application. Detailed Implementation

[0015] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application.

[0016] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description of this application will be provided in conjunction with the accompanying drawings. The described embodiments should not be considered as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0017] In the following description, references to "some embodiments" describe a subset of all possible embodiments. However, it is understood that "some embodiments" may be the same or different subsets of all possible embodiments and may be combined with each other without conflict. The terms "first" and "second" are used merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly 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 commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only.

[0018] This application provides a method for bag shortening liquid filling based on multi-point liquid level follow-up control, such as... Figure 1 As shown, the method includes: Obtain filling requirement parameters, including single-pack filling volume and filling material information; extract material characteristic parameters based on the filling material information; obtain packaging material information and obtain packaging material characteristics based on the packaging material information; and perform filling constraint fitting through a filling fitting model according to the material characteristic parameters, the packaging material characteristics, and the single-pack filling volume to obtain multi-point liquid level filling control constraints. Based on the production plan or operational requirements, basic information about the liquid filling task is obtained, namely, the filling requirement parameters. These parameters include: single-packet filling volume, i.e., the volume of liquid to be filled in each bag, expressed in milliliters (mL) or liters (L); and filling material information, including the type of liquid to be filled, material state, etc., where the material state refers to its physical state under the current environment. For example, if the production plan is for 200mL bagged liquid beverages, then the single-packet filling volume is 200mL. Subsequently, material characteristic parameters are extracted based on the filling material information, including material viscosity, material state, etc. Further, packaging material information is obtained and its characteristics are extracted. This information includes packaging material details and packaging width information. The packaging material characteristics include the maximum filling width and the packaging width. The maximum filling width is the maximum longitudinal width of the packaging material during filling. When the filling head is tilted to fill the material, it should be within half of the maximum filling width to ensure good capacity for high-viscosity materials during initial filling. Subsequently, based on the material characteristic parameters, the packaging material characteristics, and the single-pack filling volume, a filling constraint fitting is performed using a filling fitting model to obtain multi-point liquid level filling control constraints.

[0019] like Figure 2 As shown in the embodiments of this application, the method further includes: extracting key parameters from the filling material information to obtain the material category and material state; extracting the material viscosity corresponding to the material record database based on the material category and material state to obtain the material viscosity parameter; and obtaining the material characteristic parameter based on the material viscosity parameter, the material category, and the material state.

[0020] Key parameters are extracted from the filling material information to obtain the material category and material state. The material category refers to the type of material, and the material state refers to the physical state of the material under the current environmental conditions, such as liquid or solid-liquid coexistence. A material record database is constructed based on historical material data. This database contains data on various materials, and each material record shows the viscosity of the corresponding material category and material state under different environmental conditions, in Pascal-seconds (Pa·s). Furthermore, based on the current environmental parameters, the material record database is traversed and searched according to the material category and material state to obtain the corresponding material viscosity parameter.

[0021] The method provided in this application embodiment further includes: the packaging material information includes packaging material information and packaging width information; searching the packaging record database according to the packaging material information to obtain the maximum filling width of the corresponding packaging bag; and obtaining packaging material characteristic parameters based on the maximum filling width and the packaging width.

[0022] The packaging material characteristics are obtained based on the packaging material information, including: the packaging material information includes packaging material information and packaging width information. The packaging material information refers to the specific information of the thickness and type (such as polyethylene, polypropylene, aluminum foil composite materials, etc.) of the material used to manufacture the packaging bag. The packaging width information refers to the width of the packaging bag in its flat state. Subsequently, the packaging record database is searched according to the packaging material information to obtain the maximum filling width of the corresponding packaging bag. The packaging record database stores various packaging material information and corresponding maximum filling widths, where the maximum filling width is the maximum width that the packaging bag can withstand. Finally, packaging material characteristic parameters are obtained based on the maximum filling width and the packaging width.

[0023] The method provided in this application embodiment further includes: retrieving filling record data, mining multi-dimensional filling record parameters, wherein the multi-dimensional filling record parameters include packaging material characteristic record parameters, material characteristic record parameters, filling volume record parameters, and multi-point liquid level filling equipment control record parameters; constructing a parameter matching layer and a parameter fitting layer based on the multi-dimensional filling record parameters, performing inter-layer connections on the parameter matching layer and the parameter fitting layer to obtain a filling fitting model; and performing filling fitting on the material characteristic parameters, the packaging material characteristics, and the single-pack filling volume through the filling fitting model to obtain the multi-point liquid level filling control constraints.

[0024] Retrieve filling record data, which includes key data from historical filling processes for different materials and packaging, such as material data, packaging material data, equipment operation, and control effects. Extract multi-dimensional filling record parameters, including packaging material characteristic recording parameters, material characteristic recording parameters, filling volume recording parameters, and multi-point liquid level filling equipment control recording parameters. These parameters are interconnected. The multi-point liquid level filling equipment control recording parameters record the filling equipment control for different packaging material characteristics, different material characteristics, and corresponding filling volumes. These control records include liquid level setting records, filling time at each liquid level, filling speed, filling head tilt angle, and film pulling speed. The liquid point setting record consists of multiple liquid points set during actual filling based on different material characteristics. Upon reaching the corresponding liquid point, one or more parameters among the actual controlled filling time, filling speed, filling head tilt angle, and film pulling speed are adjusted to suppress liquid splashing and agitation during the filling process. Different material characteristics correspond to different liquid point setting records, which may include one or more liquid points. The filling time for a liquid point is the duration of filling at the set filling speed at the current liquid point. The filling speed is the material flow rate. The filling head tilt angle is the tilt angle of the filling head. For example, for high-viscosity materials with poor flowability, the filling head tilt setting ensures the filling head is in close contact with the inner wall of the packaging, facilitating a smooth flow of filling liquid along the container wall, reducing turbulence and thus reducing bubble formation. For low-viscosity materials with good flowability, the filling head tilt setting is less necessary because even without contact with the wall, the high liquid flowability results in relatively fewer bubbles. Different viscosities of materials correspond to different tilt angles. The film pulling speed is the speed at which the packaging film is pulled.

[0025] Furthermore, a parameter matching layer and a parameter fitting layer are constructed using the filling multidimensional record parameters. Interlayer connections are then established between these layers to obtain a filling fitting model. During the construction of the filling fitting model, a parameter matching layer is built. This layer performs preliminary processing on the input retrieval data, unifying the units and formats of each data point. It also expands the input retrieval data according to parameter tolerances to obtain expanded matching data. The tolerance is preferably ±5%. For example, for material viscosity, the tolerance can be set to ±5%, expanding the original input retrieval of 2 mPa·s to 1.9 mPa·s to 2.1 mPa·s. Constraint parameter retrieval is then performed based on the expanded matching data. Next, a parameter fitting layer is constructed. Based on the filling multidimensional record parameters, the data is cleaned, handling missing values, outliers, or erroneous data. The cleaned data undergoes data unification processing, such as standardizing units and formats, to obtain the processed data and complete the construction of the fitting database. The parameter matching layer and the parameter fitting layer are then connected to obtain the filling fitting model. Finally, the filling fitting model is used to fit the material characteristic parameters, the packaging material characteristics, and the single-pack filling volume to obtain the multi-point liquid level filling control constraints. The multi-point liquid level filling control constraints include liquid point constraints, filling time constraints for each liquid point, filling speed constraints, filling head tilt angle constraints, and film pulling speed constraints.

[0026] The method provided in this application embodiment further includes: inputting the material characteristic parameters, the packaging material characteristics, and the single-pack filling volume into the filling fitting model; performing parameter expansion matching through the parameter matching layer to obtain expanded matching data; and performing fitting analysis of control parameters using the parameter fitting layer based on the expanded matching data to obtain the multi-point liquid level filling control constraints.

[0027] The process of fitting filling constraints using a filling fitting model to obtain multi-point liquid level filling control constraints includes: inputting the material characteristic parameters, the packaging material characteristics, and the single-pack filling volume into the filling fitting model. Parameter expansion matching is performed through a parameter matching layer in the filling fitting model to obtain expanded matching data. Further, the expanded matching data is input into the parameter fitting layer for control parameter fitting analysis to obtain all parameter records that satisfy the expanded matching data, and corresponding control parameter data is obtained for each. Data range statistics are performed based on the control parameter data to obtain the multi-point liquid level filling control constraints. The multi-point liquid level filling control constraints include liquid point constraint conditions, namely, the setting constraint range of liquid points, filling time constraints for each liquid point, filling speed constraints, filling head tilt angle constraints, and film pulling speed constraints.

[0028] The parameter range of filling control parameters at different liquid levels is extracted by the multi-point liquid level filling control constraints to obtain the multi-position filling control parameter range; unilateral parameter variation iterative optimization is performed within the multi-position filling control parameter range to obtain the optimal filling control scheme for each liquid level, thus obtaining the first control scheme; and the filling equipment is subjected to follow-up filling control at multiple liquid points based on the first control scheme.

[0029] After obtaining the multi-point liquid level filling control constraints, the parameter range of the filling control parameters for each liquid level is extracted to obtain the multi-position filling control parameter range. Further, within the multi-position filling control parameter range, iterative optimization of unilateral parameter changes for each liquid level is performed to obtain the optimal filling control scheme for each liquid level, resulting in the first control scheme. Finally, based on the first control scheme, the filling equipment is subjected to multi-liquid level follow-up filling control. The existing liquid filling equipment control scheme struggles to cope with different filling conditions, exhibiting poor suppression of liquid splashing and agitation, leading to a large amount of filling air bubbles and low packaging bag utilization. Through multi-point liquid level follow-up control and dynamic optimization of filling parameters, the generation of air bubbles during the filling process is significantly reduced, filling uniformity is improved, and the usable length of the packaging bag is effectively shortened.

[0030] The method provided in this application embodiment further includes: obtaining the filling control parameter range of the first liquid point within the multi-point liquid level filling control parameter range; randomly extracting a set of control parameters from the filling control parameter range of the first liquid point to obtain original control parameters; randomly extracting one or more control parameter categories and optimizing parameters based on the original control parameters according to a first adjustment step size with different adjustment directions and different adjustment times, while keeping the remaining control parameter categories unchanged, to obtain multiple initial control schemes; performing fitness calculations on the multiple initial control schemes using a fitness function, obtaining the initial fitness calculation results, and using the initial control scheme with the highest initial fitness as the basic optimization parameter; and optimizing the remaining control parameter categories of the basic optimization parameter. Based on the first adjustment step size, perform parameter optimization with different adjustment directions and different number of adjustments to obtain multiple optimized control schemes; calculate the fitness of each of the multiple optimized control schemes using a fitness function, obtain the optimization fitness calculation results, and use the optimized control scheme with the highest optimization fitness as the continuous optimization parameter, and set a second adjustment step size, which is 1 / n+1 of the first adjustment step size, where n is the number of iterations; perform continuous iterative optimization based on the continuous optimization parameter and the second adjustment step size until the preset number of iterations is met to obtain the optimal filling control scheme for the first liquid level; traverse and iterate through all liquid levels within the range of multi-point liquid level filling control parameter to obtain the optimal filling control scheme for each liquid level.

[0031] Obtaining the optimal filling control scheme for each liquid level includes: obtaining the filling control parameter range for the first liquid level point from the multi-point liquid level filling control parameter range; the filling control parameter range for the first liquid level point is the filling control parameter range corresponding to the first liquid level point. Then, a set of control parameters is randomly extracted from the filling control parameter range of the first liquid level point to obtain the original control parameters. This set of control parameters includes filling time, filling speed, filling head tilt angle, and film pulling speed parameters, which will serve as the benchmark for subsequent optimization. Subsequently, one or more categories of randomly extracted control parameters are optimized based on the original control parameters according to a first adjustment step size, with different adjustment directions and different numbers of adjustments. That is, the randomly extracted control parameter categories are adjusted according to the first adjustment step size in the direction of increase or decrease. The number of adjustments can be multiple, such as 8 adjustments, corresponding to an adjustment range of 24%. If the original filling time is 10s, the adjusted time is 12.4s. Simultaneously, the remaining control parameter categories remain unchanged, obtaining multiple initial control schemes. The first adjustment step size is a proportional adjustment step size, which can be set based on actual conditions; here, 3% is preferred.

[0032] Fitness calculations are performed on the multiple initial control schemes using fitness functions to obtain initial fitness calculation results, which include the fitness calculation results of multiple initial control schemes. Finally, the initial control scheme with the highest initial fitness is used as the basic optimization parameter. The remaining control parameter categories of the basic optimization parameter are optimized according to the first adjustment step size using different adjustment directions and different numbers of adjustments to obtain multiple optimized control schemes. Fitness calculations are performed on the multiple optimized control schemes using fitness functions to obtain optimized fitness calculation results, which include the fitness calculation results of multiple optimized control schemes. The optimized control scheme with the highest optimized fitness is used as the continuous optimization parameter, and a second adjustment step size is set. The second adjustment step size is 1 / n+1 of the first adjustment step size, where n is the number of iterations. For example, when performing the first iteration adjustment, if the first adjustment step size is 3%, then the second adjustment step size is 1.5%. The adjustment step size decreases with the number of iterations to obtain more accurate control parameters. Finally, based on the continuous optimization parameters and the second adjustment step size, continuous iterative optimization is performed until a preset number of iterations is met to obtain the optimal filling control scheme for the first liquid level point. Iterate through all liquid points within the range of multi-point liquid level filling control parameters, and use the same iterative optimization method to obtain the optimal filling control scheme for all liquid points, thus obtaining the optimal filling control scheme for each liquid level.

[0033] The method provided in this application embodiment further includes: performing a control effect traversal on the filling record data according to the multiple initial control schemes, obtaining multiple filling head liquid level distances, multiple filling times, and multiple bag lengths corresponding to the multiple initial control schemes; inputting the multiple filling head liquid level distances and multiple filling times into the fitness function for calculation, and obtaining the initial fitness calculation results.

[0034] Multiple initial control schemes are iterated through the filling record data to assess their control effects, including the effects on the liquid level distance to the filling head, filling time, and bag length. If no corresponding control effect exists for an initial control scheme in the filling record data, an actual test experiment is conducted on that initial control scheme to obtain the corresponding control effect data, which is then stored in the filling record data. Alternatively, a predetermined number of similar control parameters are fitted to obtain the control effect; that is, a predetermined number of known parameters with high similarity to the initial control scheme are fitted to the corresponding control effect to obtain the fitted control effect. Multiple liquid level distances to the filling head, multiple filling times, and multiple bag lengths corresponding to the multiple initial control schemes are obtained. Finally, the multiple liquid level distances to the filling head and multiple filling times are input into the fitness function for calculation to obtain the initial fitness calculation result.

[0035] The technical solution provided by this invention obtains filling requirement parameters and extracts material characteristic parameters based on filling material information. It also obtains packaging material information and its characteristics. Combining the single-bag filling volume, a filling constraint fitting model is used to obtain multi-point liquid level filling control constraints. Parameter ranges for different liquid level filling control parameters are extracted to obtain multi-position filling control parameter ranges. Iterative optimization of unilateral parameter changes is performed within the multi-position filling control parameter ranges to obtain a first control scheme, which is then used for multi-liquid-point follow-up filling control. This solves the technical problems in existing liquid filling equipment control schemes, such as difficulty in handling different filling conditions, poor suppression of liquid splashing and agitation, resulting in large filling air bubbles and low packaging bag utilization. Through multi-point liquid level follow-up control and dynamic optimization of filling parameters, the generation of air bubbles during the filling process is significantly reduced, filling uniformity is improved, and the service life of packaging bags is effectively shortened.

[0036] Note that the above description is merely a preferred embodiment of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of the present invention, the scope of which is determined by the scope of the appended claims.

Claims

1. A method for bag shortening liquid filling based on multi-point liquid level follow-up control, characterized in that, The method includes: Obtain filling requirement parameters, including single-bag filling volume and filling material information; Extract material characteristic parameters based on the filling material information; Obtain packaging material information, and obtain packaging material characteristics based on the packaging material information; Based on the material characteristic parameters, the packaging material characteristics, and the single-pack filling volume, a filling constraint fitting is performed using a filling fitting model to obtain multi-point liquid level filling control constraint conditions. The parameter range of different liquid level filling control parameters is extracted by using the multi-point liquid level filling control constraints to obtain the multi-location filling control parameter range. Within the range of the multi-position filling control parameters, iterative optimization of unilateral parameter changes is performed to obtain the optimal filling control scheme for each liquid level, thus obtaining the first control scheme; Based on the first control scheme, the filling equipment is subjected to multi-liquid-point follow-up filling control; Filling constraints are fitted using a filling fitting model to obtain multi-point liquid level filling control constraints, including: Retrieve filling record data and mine filling multi-dimensional record parameters, which include packaging material characteristic record parameters, material characteristic record parameters, filling volume record parameters, and multi-point liquid level filling equipment control record parameters; Based on the filling multidimensional record parameters, a parameter matching layer and a parameter fitting layer are constructed, and inter-layer connections are made between the parameter matching layer and the parameter fitting layer to obtain the filling fitting model; The filling fitting model is used to fit the material characteristic parameters, the packaging material characteristics, and the single-pack filling volume to obtain the multi-point liquid level filling control constraints.

2. The method for bag shortening liquid filling based on multi-point liquid level follow-up control according to claim 1, characterized in that, Extracting material characteristic parameters based on the filling material information, including: Key parameters are extracted from the filling material information to obtain the material category and material status; Based on the material category and material state, extract the corresponding material viscosity from the material record database to obtain the material viscosity parameter; Based on the material viscosity parameter, the material category, and the material state, obtain the material characteristic parameters.

3. The bag-shrinking liquid filling method based on multi-point liquid level follow-up control according to claim 1, characterized in that, Based on the packaging material information, the characteristics of the packaging material are obtained, including: The packaging material information includes packaging material information and packaging width information; The packaging record database is searched based on the packaging material information to obtain the maximum filling width of the corresponding packaging bag; The packaging material characteristic parameters are obtained based on the maximum filling width and the packaging width.

4. The bag-shrinking liquid filling method based on multi-point liquid level follow-up control according to claim 1, characterized in that, The filling constraint fitting is performed using a filling fitting model to obtain multi-point liquid level filling control constraints, which also includes: The material characteristic parameters, the packaging material characteristics, and the single-pack filling volume are input into the filling fitting model, and the parameters are expanded and matched through the parameter matching layer to obtain expanded matching data. Based on the expanded matching data, the parameter fitting layer is used to perform fitting analysis of the control parameters to obtain the multi-point liquid level filling control constraints.

5. The method for bag shortening liquid filling based on multi-point liquid level follow-up control according to claim 1, characterized in that, Obtain the optimal filling control scheme for each liquid level, including: Within the range of multi-point liquid level filling control parameters, the filling control parameter range of the first liquid point is obtained, and a set of control parameters from the filling control parameter range of the first liquid point is randomly extracted to obtain the original control parameters. One or more control parameter categories are randomly extracted, and parameter optimization is performed based on the original control parameters according to the first adjustment step size in different adjustment directions and with different numbers of adjustments, while keeping the remaining control parameter categories unchanged, to obtain multiple initial control schemes; The fitness of each of the multiple initial control schemes is calculated using a fitness function to obtain the initial fitness calculation results. The initial control scheme with the highest initial fitness is used as the basic optimization parameter. The remaining control parameters of the basic optimization parameters are optimized by different adjustment directions and different numbers of adjustments to obtain multiple optimized control schemes; The fitness of each of the multiple optimized control schemes is calculated using an adaptation function to obtain the optimization fitness calculation results. The optimized control scheme with the highest optimization fitness is used as the continuous optimization parameter, and a second adjustment step size is set. The second adjustment step size is 1 / n+1 of the first adjustment step size, where n is the number of iterations. Based on the continuously optimized parameters and the second adjustment step size, continuous iterative optimization is performed until the preset number of iterations is met to obtain the optimal filling control scheme for the first liquid point. Iterate through all liquid points within the range of multi-point liquid level filling control parameters to obtain the optimal filling control scheme for each liquid level.

6. The method according to claim 5, characterized in that, The fitness of each of the multiple initial control schemes is calculated using a fitness function to obtain the initial fitness calculation results, including: Based on the multiple initial control schemes, the control effect of the filling record data is traversed to obtain multiple filling head liquid level distances, multiple filling times, and multiple bag lengths corresponding to the multiple initial control schemes. The liquid level distances of multiple filling heads and multiple filling times are input into the fitness function for calculation to obtain the initial fitness calculation results.

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