A multi-station automatic packaging control method and system

Through the multi-station automatic packaging control method and system, real-time monitoring and optimization of all links in the packaging process, the problem of large uncertainty in packaging operations in the existing technology is solved, and higher stability and accuracy are achieved, and production efficiency and product quality are improved.

CN119774085BActive Publication Date: 2025-06-13HUNAN ZHUIYI INTELLIGENT MACHINERY
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Patent Information

Application Number
CN202510267590.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-03-07
Publication Date
2025-06-13
Estimated Expiration
2045-03-07

AI Technical Summary

Technical Problem

Existing packaging control and detection methods mostly rely on the inspection of the packaging status after packaging, resulting in a significant increase in uncertainty in packaging operations, affecting the accuracy of packaging status and the feasibility of automatic packaging control.

Method used

It provides a multi-station automatic packaging control method and system, which can ensure the stability and accuracy of packaging operations through the start-up determination, operation quality estimate and pre-execution effect evaluation of bag suction components, filler components and sealing components.

Benefits of technology

Through real-time monitoring and optimization, the stability and accuracy of the packaging process are improved, the risk of production interruptions is reduced, and the production efficiency and product quality are improved.

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Patent Text Reader

Abstract

The present invention relates to the technical field of physical analysis, and specifically discloses a multi-station automatic packaging control method and system. The method includes: suction bag component start determination, filling operation waiting to be executed, operation quality prediction determination, pre-execution effect evaluation of the sealing component, and waiting for packaging control again. When the automatic packaging control platform operates, the suction bag component first obtains start performance data and verifies it with predefined indicators. After optimization according to the results, the packaging bag is sent to the fixing component, and then moved to the first position for filling through the transfer component. Before receiving the instruction, the filling component determines whether to optimize and fill by comparing the predicted operation quality value with the permitted range. The filled packaging bag waits to be sealed. Before receiving the instruction, the sealing component evaluates the pre-execution effect index, and optimizes the sealing as required after verification. After sealing, the packaging bag is released, and the fixing component moves to the second position. This cycle is repeated to achieve multi-station automatic packaging control.
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Description

Technical Field

[0001] The present invention relates to the technical field of physical analysis, and particularly to a multi-station automatic packaging control method and system. Background Art

[0002] With the continuous progress of automation technology, its applications in various fields have become increasingly widespread. In the packaging industry, automation technology not only improves production efficiency but also reduces labor costs, making the packaging process more intelligent and automated. The multi-station automatic packaging control method is one of the specific applications of automation technology in this field. The traditional packaging method can no longer meet the production requirements of large scale and high efficiency, so the multi-station automatic packaging control method came into being.

[0003] For example, the invention patent with the publication number CN116429790B discloses an intelligent management and control system for a wooden packing box production line based on data analysis. The system includes: a light transmission detection component, which is arranged after the pre-fixing process and before the final-fixing process of the production line, and includes a light source generating device, an image acquisition device and an analysis terminal; during the detection process of the light transmission detection component: the light source generating device is used to emit light with a preset wavelength size to the packing box; the image acquisition module is used to acquire the image of the detection surface of the packing box; the analysis terminal is used to perform feature recognition on the image acquired by the image acquisition module, judge the pre-fixed state of the packing box according to the result of the feature recognition, and determine whether the state of the packing box is normal according to the judgment result; if it is normal, adjust the working parameters of the final-fixing process; otherwise, rework the packing box.

[0004] For example, the invention patent with the publication number CN109557109B discloses a detection method and device for the packaging state of frozen meat products, belonging to the technical field of meat product analysis. The method includes: acquiring a to-be-detected image of a frozen meat product with packaging taken at a preset angle; wherein, each preset angle corresponds to a to-be-detected image; determining an interest area in the to-be-detected image, and detecting a packaging damage area in the interest area of the to-be-detected image.

[0005] Combined with the above technical solutions, it is found that there are packaging control detection methods that mostly rely on detecting the packaging state after packaging. However, due to various factors affecting the packaging equipment during operation, the uncertainty of its packaging operation is greatly increased, which affects the accuracy of the packaging state and ultimately the feasibility of automatic packaging control. Summary of the Invention

[0006] Aiming at the deficiencies of the prior art, the present invention provides a multi-station automatic packaging control method and system, which can effectively solve the problems involved in the above background art.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: In the first aspect of the present invention, a multi-station automatic packaging control method is provided, including: Determination of the start of the bag suction assembly: Each bag suction assembly receives the start instruction from the automatic packaging control platform, and obtains the start performance data of each bag suction assembly before the execution of the start instruction, determines the start performance status indicators of each bag suction assembly, and verifies them with the predefined start performance status adaptation indicators. The automatic packaging control platform determines whether to perform performance optimization on each bag suction assembly; Waiting for the filling operation to be executed: Each bag suction assembly executes the start instruction from the automatic packaging control platform, and automatically transports the corresponding packaging bags to each fixing assembly after execution. Thus, the automatic packaging control platform controls the transfer assembly to drive each fixing assembly to move to the first position and wait for each filling assembly to execute the filling operation; Estimation and determination of the operation quality: Each filling assembly receives the filling instruction sent by the automatic packaging control platform, and determines the estimated value of the operation quality of each filling assembly before starting the filling instruction, and compares it with the predefined allowable estimated value range of the operation quality. The automatic packaging control platform determines whether to perform filling optimization on each filling assembly. Finally, each filling assembly automatically executes the filling operation; Evaluation of the pre-execution effect of the sealing assembly: Each packaging bag belonging to each fixing assembly after filling waits for each sealing assembly to execute the sealing operation. Each sealing assembly receives the sealing instruction sent by the automatic packaging control platform, and evaluates the pre-execution effect index of each sealing assembly before starting the sealing instruction, and verifies it with the predefined allowable pre-execution effect index range. The automatic packaging control platform determines whether to perform sealing optimization on each sealing assembly. In this way, each sealing assembly automatically executes the sealing operation; Waiting for packaging control again: Each packaging bag after sealing is released by each fixing assembly, and at the same time, the automatic packaging control platform controls the transfer assembly to drive each fixing assembly to move to the second position and wait for the filling operation again, finally completing the multi-station automatic packaging control.

[0008] As a further method, the process of determining the start-up performance status indicators of each suction bag assembly is as follows: The start-up performance data of each suction bag assembly specifically includes the suction force values of each suction bag assembly at each start-up time point, the response duration of each suction bag assembly within the start-up cycle, the air flow velocity of each suction bag assembly at each start-up time point, the maximum noise value of each suction bag assembly within the start-up cycle, and the maximum vibration frequency value of each suction bag assembly within the start-up cycle; perform standard deviation processing on the suction force values of each suction bag assembly at each start-up time point to obtain the suction force dispersion value of each suction bag assembly within the start-up cycle; perform standard deviation processing on the air flow velocity of each suction bag assembly at each start-up time point to obtain the air flow velocity dispersion value of each suction bag assembly within the start-up cycle; extract the suction force dispersion definition value, response defined duration, air flow velocity dispersion definition value, noise definition value, and vibration frequency definition value from the packaging control management library; comprehensively analyze the suction force dispersion value of each suction bag assembly within the start-up cycle, the air flow velocity dispersion value of each suction bag assembly within the start-up cycle, the response duration of each suction bag assembly within the start-up cycle, the maximum noise value of each suction bag assembly within the start-up cycle, and the maximum vibration frequency value of each suction bag assembly within the start-up cycle to obtain the start-up performance status indicators of each suction bag assembly.

[0009] As a further method, each filling component receives the filling instruction sent by the automatic packaging control platform, and before starting the filling instruction, determines the estimated operation quality value of each filling component, thereby obtaining the start-up waiting data of each filling component, specifically including the historical material quantity of each filling component within the start-up waiting cycle, the historical filling speed of each filling component within the start-up waiting cycle, the vibration frequency of the driving element to which each filling component belongs at each start-up waiting time point, and the historical tilt angle value of the nozzle to which each filling component belongs; perform mean processing on the vibration frequency of the driving element to which each filling component belongs at each start-up waiting time point to obtain the average vibration frequency of the driving element to which each filling component belongs within the start-up waiting cycle; extract the average vibration frequency adaptation value, actual filling adaptation speed, actual material reference quantity, and actual tilt reference angle value from the packaging control management library; comprehensively analyze the historical material quantity of each filling component within the start-up waiting cycle, the historical filling speed of each filling component within the start-up waiting cycle, the average vibration frequency of the driving element to which each filling component belongs within the start-up waiting cycle, the start-up performance status indicators of each suction bag assembly, and the historical tilt angle value of the nozzle to which each filling component belongs to obtain the estimated operation quality value of each filling component.

[0010] As a further method, the specific analysis method of the pre-execution effect index of each sealing component is as follows:

[0011]

[0012] In the formula, is the pre-execution effect index of the m-th sealing component, where m is the number of each sealing component. , M is the total number of sealing components. is the real-time heating temperature of the m-th sealing component at the t-th moment in the pre-execution cycle, and t is the time variable. , is the start time point of the pre-execution cycle. is the end time point of the pre-execution cycle. is the average value of the actual heating reference temperature. is the real-time ambient humidity of the area where the m-th sealing component is located at the t-th moment in the pre-execution cycle. is the reference ambient humidity. is the historical sealing duration of the m-th sealing component during the pre-execution cycle. is the actual sealing adaptation duration. is the average value of the historical sealing pressure of the m-th sealing component during the pre-execution cycle. is the reference average value of the actual sealing pressure. is the pre-estimated operation quality of the b-th filling component, where b is the number of each filling component. , B is the total number of filling components. The pre-execution effect weight parameter corresponding to the real-time heating temperature predefined in the packaging control management library. The pre-execution effect weight parameter corresponding to the real-time ambient humidity predefined in the packaging control management library. The pre-execution effect weight parameter corresponding to the historical sealing duration predefined in the packaging control management library. The pre-execution effect weight parameter corresponding to the average value of the historical sealing pressure predefined in the packaging control management library. is the pre-execution effect weight parameter corresponding to the pre-estimated average value of the operation quality predefined in the packaging control management library, and e is the natural constant.

[0013] As a further method, the final multi-station automatic packaging control is completed. The specific control process is as follows: Each fixed component specifically includes each first fixed component and each second fixed component; The automatic packaging control platform controls the transfer component to drive each fixed component to move to the first position to wait for each filling component to perform the filling operation. Specifically, the automatic packaging control platform controls the transfer component to drive each first fixed component to move to the first position and wait for each filling component to perform the filling operation on each packaging bag clamped by each first fixed component; The automatic packaging control platform controls the transfer component to drive each fixed component to move to the second position to wait for the filling operation again. Specifically, the automatic packaging control platform controls the transfer component to drive each second fixed component to move to the second position and wait for each filling component to perform the filling operation on each packaging bag clamped by each second fixed component.

[0014] In the second aspect of the present invention, a multi-station automatic packaging control system is provided, including: a suction bag component start determination module, which is used for each suction bag component to receive a start instruction from the automatic packaging control platform, obtain the start performance data of each suction bag component before the start instruction is executed, determine the start performance status indicators of each suction bag component, and check them against the predefined start performance status adaptation indicators, so that the automatic packaging control platform determines whether to optimize the performance of each suction bag component; a filling operation waiting execution module, which is used for each suction bag component to execute the start instruction of the automatic packaging control platform, and automatically transport the corresponding packaging bag to each fixing component after execution, so that the automatic packaging control platform controls the transfer component to drive each fixing component to move to the first position to wait for each filling component to execute the filling operation; an operation quality prediction determination module, which is used for each filling component to receive the filling instruction sent by the automatic packaging control platform, and determine the predicted operation quality value of each filling component before starting the filling instruction, compare it with the predefined allowable predicted operation quality value range, so that the automatic packaging control platform determines whether to optimize the filling of each filling component, and finally each filling component automatically executes the filling operation; a pre-execution effect evaluation module for the sealing component, which is used for each packaging bag belonging to each fixing component after filling to wait for each sealing component to execute the sealing operation, each sealing component receives the sealing instruction sent by the automatic packaging control platform, and evaluate the pre-execution effect index of each sealing component before starting the sealing instruction, check it against the predefined allowable pre-execution effect index range, so that the automatic packaging control platform determines whether to optimize the sealing of each sealing component, and thus each sealing component automatically executes the sealing operation; a waiting for packaging control module again, which is used for each packaging bag after sealing to be released by each fixing component, and at the same time the automatic packaging control platform controls the transfer component to drive each fixing component to move to the second position to wait for the filling operation again, and finally completes the multi-station automatic packaging control.

[0015] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0016] (1) By providing a multi-station automatic packaging control method and system, under the control of the automatic packaging control platform, before each suction bag component receives the start instruction, it obtains the start performance data, checks it against the predefined indicators, determines whether to optimize and then execute the instruction, transports the packaging bag to the fixing component, and is moved to the first position by the transfer component to wait for filling. Before each filling component receives the instruction, it determines the predicted operation quality value, compares it with the allowable range, decides whether to optimize and then automatically fills. The filled packaging bag waits for sealing. Before each sealing component receives the instruction, it evaluates the pre-execution effect index, and after verification, determines whether to optimize and then execute the sealing operation. After sealing, the packaging bag is released, and the fixing component moves to the second position to wait for the next filling and sealing, realizing multi-station automatic packaging control.

[0017] (2) Before the execution of the start instruction, the present invention obtains the start performance data of each suction bag component, determines the start performance status indicators of each suction bag component, can detect in advance whether there are potential faults in the equipment, can perform repairs before the formal start of production, and helps to optimize the configuration and parameters of the suction bag components according to the actual situation, avoiding situations such as suction bag failure and equipment damage during the production process, and reducing the risk of production interruption.

[0018] (3) Before the start of the filling instruction, the present invention determines the estimated value of the operation quality of each filling component, optimizes the performance of the filling component, improves the efficiency and quality of filling, can ensure the timeliness and reliability of the filling operation during the production process, and the fast and stable filling component can provide a stable working state for subsequent processes such as sealing, making the entire production process smoother.

[0019] (4) Before the start of the sealing instruction, the present invention evaluates the pre-execution effect index of each sealing component, can understand in advance whether key parameters such as the temperature, pressure, and time of the sealing component reach the ideal state, and by ensuring the accuracy of these parameters, can significantly improve the quality of sealing, making the seal tight and flat, ensuring that the sealing process can proceed smoothly and efficiently, thereby improving the production efficiency of the entire production line, effectively preventing the leakage of packaged contents, and ensuring the integrity and safety of the product. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The present invention will be further described with reference to the accompanying drawings. However, the embodiments in the drawings do not constitute any limitation to the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained according to the following drawings.

[0021] Figure 1 It is a schematic flow chart of the method steps of the present invention.

[0022] Figure 2 It is a schematic diagram of the connection of the system modules of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0023] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0024] Refer to Figure 1As shown in the figure, the first aspect of the present invention provides a multi-station automatic packaging control method, including: determination of the start of the bag suction component: each bag suction component receives the start instruction from the automatic packaging control platform, and obtains the start performance data of each bag suction component before the execution of the start instruction, determines the start performance status indicators of each bag suction component, and verifies them with the predefined start performance status adaptation indicators, and the automatic packaging control platform determines whether to optimize the performance of each bag suction component.

[0025] The above automatic packaging control platform is an intelligent control system used to comprehensively and accurately control and manage the entire automatic packaging production line. It consists of an industrial computer, a programmable logic controller (PLC), sensors, actuators, and a human-machine interface, etc. Before production, the operator inputs the production tasks and packaging parameters through the human-machine interface, and the automatic packaging control platform receives these instructions to determine the production plan. According to the preset program, the automatic packaging control platform sends a start instruction to the bag suction component, obtains its start performance data and determines the status indicators. After passing the verification, it controls the bag suction component to transport the packaging bag to the fixing component. Then, it controls the transfer component to drive the fixing component to a specified position to wait for filling. During the filling process, it determines the estimated running quality value of the filling component. If it meets the requirements, it sends a filling instruction. After filling, it also evaluates the sealing component and sends an instruction to complete the sealing operation. After sealing, the control platform commands the fixing component to release the packaging bag, and then drives the fixing component back to the initial position to prepare for the next round of packaging tasks, realizing the automated cycle of the entire packaging process.

[0026] The above bag suction component specifically includes a suction nozzle part, a suction force generating device, and connecting pipes and valves. When the bag suction component receives the start signal, the suction force generating device starts to work, generating a negative pressure at the suction nozzle. The suction nozzle closely adheres to the surface of the packaging bag, and under the action of the internal and external pressure difference, the packaging bag is adsorbed on the suction nozzle. Then, with the cooperation of a robotic arm or other conveying devices, the adsorbed packaging bag is moved to a specified position, such as on the fixing component, to prepare for subsequent operations such as filling and sealing.

[0027] Specifically, the process of determining the start performance status indicators of each bag suction component is as follows:

[0028] The start performance data of each bag suction component specifically includes the suction force value of each bag suction component at each start time point, the response duration of each bag suction component within the start cycle, the air flow velocity of each bag suction component at each start time point, the maximum noise value of each bag suction component within the start cycle, and the maximum vibration frequency value of each bag suction component within the start cycle.

[0029] The above-mentioned start time points are specifically several start time points obtained by dividing the start cycle into time points. The determination of the start cycle is specifically the duration from when the bag suction component receives the start instruction to when the bag suction component waits to start performing the bag suction operation. The above-mentioned start performance data can specifically be obtained by extracting from the start reports of each bag suction component.

[0030] Perform standard deviation processing on the suction force values of each bag suction component at each start time point to obtain the suction force dispersion degree values of each bag suction component during the start cycle.

[0031] Perform standard deviation processing on the air flow velocity of each bag suction component at each start time point to obtain the air flow velocity dispersion degree values of each bag suction component during the start cycle.

[0032] Extract the suction force dispersion degree definition value, response boundary duration, air flow velocity dispersion degree definition value, noise definition value, and vibration frequency definition value from the packaging control management library.

[0033] Perform comprehensive analysis on the suction force dispersion degree values of each bag suction component during the start cycle, the air flow velocity dispersion degree values of each bag suction component during the start cycle, the response duration of each bag suction component during the start cycle, the maximum noise value of each bag suction component during the start cycle, and the maximum vibration frequency of each bag suction component during the start cycle to obtain the start performance status indicators of each bag suction component. The specific analysis method is as follows:

[0034]

[0035] In the formula, is the start performance status indicator of the a-th bag suction component, where a is the number of each bag suction component, , A is the total number of bag suction components, is the suction force dispersion degree value of the a-th bag suction component during the start cycle, is the suction force dispersion degree definition value, is the response duration of the a-th bag suction component during the start cycle, is the response boundary duration, is the maximum noise value of the a-th bag suction component during the start cycle, is the noise definition value, is the maximum vibration frequency of the a-th bag suction component during the start cycle, is the vibration frequency definition value, is the air flow velocity dispersion degree value of the a-th bag suction component during the start cycle, is the air flow velocity dispersion degree definition value, is the performance status weight factor corresponding to the suction force dispersion degree value predefined in the packaging control management library, is the performance state weight factor corresponding to the predefined response duration in the packaging control management library. is the performance state weight factor corresponding to the predefined maximum noise value in the packaging control management library. is the performance state weight factor corresponding to the predefined maximum vibration frequency in the packaging control management library. is the performance state weight factor corresponding to the predefined airflow velocity dispersion value in the packaging control management library, where e is the natural constant.

[0036] In this embodiment, the start-up performance state index of each suction bag component is used to measure whether the suction bag component can start quickly, stably and effectively and reach the state of waiting to execute the task of sucking the packaging bag in a timely, reliable and stable suction manner. The larger the start-up performance state index, the better the state of the suction bag component, which can provide better equipment support for the subsequent suction bag operation.

[0037] It should be explained that the above-mentioned suction dispersion value refers to the degree of dispersion or difference in the suction force of each suction bag component during the start-up period, reflecting the stability of the suction force; the suction dispersion threshold value refers to the maximum value corresponding to the predefined suction dispersion value; the response duration refers to the time interval from the moment when the suction bag component receives the start signal to the moment when the suction bag component generates sufficient suction force to suck the packaging bag; the response threshold duration refers to the maximum value corresponding to the predefined response duration; the maximum noise value refers to the maximum decibel value of the actual noise generated during the process of the suction bag component starting from the start to completing the start and entering the stable waiting state; the noise threshold value refers to the maximum value corresponding to the predefined noise; the maximum vibration frequency refers to the maximum frequency value of the actual vibration generated during the process of the suction bag component starting from the start to completing the start and entering the stable waiting state; the vibration frequency threshold value refers to the maximum value corresponding to the predefined vibration frequency; the airflow velocity dispersion value refers to the degree of dispersion or difference in the airflow velocity of each suction bag component during the start-up period, reflecting the stability of the airflow velocity; the airflow velocity dispersion threshold value refers to the maximum value corresponding to the predefined airflow velocity dispersion value.

[0038] Among them, the performance state weight factors corresponding to the suction discreteness value, the performance state weight factor corresponding to the response duration, the performance state weight factor corresponding to the maximum noise value, the performance state weight factor corresponding to the maximum vibration frequency, and the performance state weight factor corresponding to the air flow velocity discreteness value are all obtained by extraction from the packaging control management library. The mapping relationship therein can be a one-to-one or many-to-one relationship. For example, the suction discreteness value forms a mapping set with the performance state weight factor corresponding to the preset suction discreteness value in the packaging control management library, and the real-time suction discreteness value is brought into the mapping set to obtain the performance state weight factor corresponding to the suction discreteness value; the response duration forms a mapping set with the performance state weight factor corresponding to the preset response duration in the packaging control management library, and the real-time response duration is brought into the mapping set to obtain the performance state weight factor corresponding to the response duration; the maximum noise value forms a mapping set with the performance state weight factor corresponding to the preset maximum noise value in the packaging control management library, and the real-time maximum noise value is brought into the mapping set to obtain the performance state weight factor corresponding to the maximum noise value; the maximum vibration frequency forms a mapping set with the performance state weight factor corresponding to the preset maximum vibration frequency in the packaging control management library, and the real-time maximum vibration frequency is brought into the mapping set to obtain the performance state weight factor corresponding to the maximum vibration frequency; the air flow velocity discreteness value forms a mapping set with the performance state weight factor corresponding to the preset air flow velocity discreteness value in the packaging control management library, and the real-time air flow velocity discreteness value is brought into the mapping set to obtain the performance state weight factor corresponding to the air flow velocity discreteness value. In this embodiment, the value ranges of the performance state weight factors corresponding to the suction discreteness value, the performance state weight factor corresponding to the response duration, the performance state weight factor corresponding to the maximum noise value, the performance state weight factor corresponding to the maximum vibration frequency, and the performance state weight factor corresponding to the air flow velocity discreteness value are all (0, 1).

[0039] In this embodiment, if the suction discreteness is relatively large, it may mean that there are some unstable factors when the suction bag assembly starts. Unstable suction will cause the suction bag assembly to take longer to reach a stable starting state, thus increasing the response time and greatly reducing the starting performance status index of the suction bag assembly. The instability of the suction may also cause vibrations of the internal components of the suction bag assembly or irregular changes in the air flow, thereby leading to the generation and change of noise. A higher suction discreteness may result in a greater maximum noise value, also reducing the starting performance status index of the suction bag assembly. And a greater maximum vibration frequency will also result in a more obvious maximum noise value. The noise mainly comes from the vacuum negative pressure generated by the motor-driven eddy current fan and the change of the air flow, etc., and these are related to vibrations. A larger discreteness of the air flow velocity may lead to unstable air flow and increased turbulence, thereby generating more noise. At the same time, the unstable air flow velocity may cause the vibration frequency of the internal components of the suction bag assembly to change, thus having a greater negative impact on the starting performance of the suction bag assembly.

[0040] Further, the automatic packaging control platform determines whether to optimize the performance of each suction bag assembly. Specifically, it performs a starting performance verification on the starting performance status index of each suction bag assembly and the predefined starting performance status adaptation index in the packaging control management library to obtain a starting performance verification result, and based on this, the automatic packaging control platform determines whether to optimize the performance of each suction bag assembly.

[0041] The starting performance verification result is the first starting performance verification result or the second starting performance verification result.

[0042] The first starting performance verification result is specifically that the starting performance status index of each suction bag assembly is greater than or equal to the predefined starting performance status adaptation index in the packaging control management library.

[0043] The second starting performance verification result is specifically that there is a starting performance status index of a certain suction bag assembly that is less than the starting performance status adaptation index.

[0044] If the starting performance verification result shows the first starting performance verification result, the automatic packaging control platform determines that there is no need to optimize the performance of each suction bag assembly and performs the suction bag operation. If the starting performance verification result shows the second starting performance verification result, the automatic packaging control platform determines that it is necessary to optimize the performance of this suction bag assembly.

[0045] The above-mentioned performance optimization of the bag suction assembly specifically optimizes the mechanical structure of the bag suction assembly and reduces the mass and friction of moving parts, such as using lightweight and smooth guide rails and sliders to make the bag suction port faster and more stable during movement, thereby speeding up the overall response speed; installing a voltage-stabilizing power supply and a current-stabilizing device to ensure the stability of the suction force of the bag suction assembly during operation, avoiding fluctuations in suction force due to voltage fluctuations or unstable current, which affects the suction effect of the packaging bag; and performing regular maintenance and cleaning of the bag suction assembly to prevent the accumulation of dust, debris, etc. from affecting its performance.

[0046] The filling operation is waiting for execution: each bag suction component executes the start-up instruction of the automatic packaging control platform, and automatically transports the corresponding packaging bag to each fixed component after execution. The automatic packaging control platform controls the transfer component to drive each fixed component to move to the first position and waits for each filling component to perform the filling operation.

[0047] The above-mentioned transfer component is mainly responsible for transferring materials, packaging bags or packaging bags containing materials between different workstations, equipment or locations. Its core function is to ensure the continuity of the packaging process so that each process can proceed smoothly in a predetermined order and rhythm. When the transfer component is working, it first detects the position and state of the object to be transferred through the sensor. Then, the controller issues instructions based on this information to drive the mechanical transmission part and the robot arm to move. For example, when the bag suction component sucks the packaging bag and places it at the starting position of the transfer component, the sensor will detect the presence of the packaging bag, and the controller will immediately start the conveyor belt to transport the packaging bag in the direction of the fixed component. When approaching the target position, the sensor detects again, and by precisely controlling the movement of the robot arm and the clamp, the packaging bag is accurately placed on the fixed component.

[0048] The main function of the above-mentioned fixing components is to provide stable support and fixed position for the packaging bag at different stages of the packaging process, ensuring that subsequent operations such as filling and sealing can be carried out accurately and efficiently. It is like a "workbench" on which the packaging bag can remain still and in the correct posture to receive various processing. When the transfer component transports the packaging bag to the fixing component, the positioning device of the fixing component first preliminarily positions the packaging bag to determine its approximate position on the plane. Then, the fixing fixture starts working to firmly fix the packaging bag in the set position. During the entire packaging process, the fixing component communicates and works in coordination with other components through its interface. For example, when the filling component is ready to fill, the fixing component will transmit the opening position information of the packaging bag to the filling component, and keep the packaging bag stable during the filling process to prevent the packaging bag from shifting or deforming due to external forces.

[0049] Operation quality prediction and determination: Each filling component receives the filling instruction sent by the automatic packaging control platform, and before starting the filling instruction, determines the predicted operation quality value of each filling component, compares it with the predefined predicted operation quality permission value range, and the automatic packaging control platform determines whether to optimize the filling of each filling component. Finally, each filling component automatically executes the filling operation.

[0050] The main function of the above-mentioned filling component is to convey materials in various forms (such as solid, liquid, powder, etc.) into the packaging bag according to the preset quantity and speed, ensure that the quantity of materials in each packaging bag is accurate and uniform, and minimize the splashing and leakage of materials during the filling process, so as to ensure the cleanliness of the packaging environment and the stability of product quality. At the start of filling, the controller starts the material conveying mechanism according to the preset filling quantity and speed instructions, and conveys the materials in the storage device to the packaging bag through the nozzle. During the filling process, the metering and control system monitors the material flow or the weight in the packaging bag in real time through sensors, and feeds the monitoring data back to the controller. When the preset filling quantity is reached, the controller stops the operation of the material conveying mechanism to complete the filling operation. For example, when using a weight sensor for control, the weight of the empty packaging bag is zeroed before filling. As the material is filled, the weight sensor continuously detects the weight change. When the weight reaches the set filling weight plus the weight of the empty bag, the controller will send a stop signal.

[0051] Specifically, each filling component receives the filling instruction sent by the automatic packaging control platform, and before starting the filling instruction, determines the predicted operation quality value of each filling component, thereby obtaining the start waiting data of each filling component, specifically including the historical material quantity of each filling component during the start waiting period, the historical filling speed of each filling component during the start waiting period, the vibration frequency of the driving element to which each filling component belongs at each start waiting time point, and the historical tilt angle value of the nozzle to which each filling component belongs.

[0052] The above-mentioned start waiting time points are specifically several start waiting time points obtained by dividing the start waiting period by time points. The determination of the start waiting period is specifically a period of time from when the filling component receives the start instruction to when it enters the filling operation waiting state. The above-mentioned start waiting data can be specifically obtained by extracting from the start report of the filling component.

[0053] Perform mean processing on the vibration frequencies of the driving elements to which each filling component belongs at each start waiting time point to obtain the average vibration frequency of the driving elements to which each filling component belongs during the start waiting period.

[0054] Extract the average vibration frequency adaptation value, actual filling adaptation speed, actual material reference quantity, and actual tilt reference angle value from the packaging control management library.

[0055] It should be elaborated that the data stored in the packaging control management library in this embodiment is specifically obtained before the start of the packaging process, including the basic attributes of the materials, such as clarifying whether the food is biscuits, candies, beverages, etc., and their respective packaging specifications, such as net content, packaging size, etc.; understanding the physical and chemical properties of the materials. For example, the fluidity data of powdery materials is crucial for the design and parameter adjustment of the filling components; obtaining information related to the material packaging. For example, for perishable materials, packaging materials with good barrier properties may need to be selected; analyzing the obtained data of the materials to determine the actual parameters of the materials. For example, through the test data of the material fluidity, analyze its flow characteristics under different temperature and humidity conditions to provide a basis for setting the operating parameters of the filling components; after obtaining the data of the materials and analyzing the actual parameters, store these data in the packaging control management library, and these data include the basic information of the materials, characteristic data, packaging-related data, and the actual parameters of the corresponding materials, etc.

[0056] Comprehensively analyze the historical material quantity of each filling component during the startup waiting period, the historical filling speed of each filling component during the startup waiting period, the average vibration frequency of the driving elements to which each filling component belongs during the startup waiting period, the startup performance status indicators of each bag sucking component, and the historical tilt angle values of the nozzles to which each filling component belongs to obtain the predicted operating quality values of each filling component. The specific analysis method is as follows:

[0057]

[0058] In the formula, is the predicted operating quality value of the bth filling component, where b is the number of each filling component, , and B is the total number of filling components, is the historical material quantity of the bth filling component during the startup waiting period, is the actual material reference quantity, is the historical filling speed of the bth filling component during the startup waiting period, is the actual filling adaptation speed, is the average vibration frequency of the driving element to which the bth filling component belongs during the startup waiting period, is the average vibration frequency adaptation value, is the historical tilt angle value of the nozzle to which the bth filling component belongs, is the actual tilt reference angle value, is the startup performance status indicator of the ath bag sucking component, where a is the number of each bag sucking component, , and A is the total number of bag sucking components, The quality prediction weight parameter corresponding to the predefined historical material quantity in the packaging control management library, The quality prediction weight parameter corresponding to the predefined historical filling speed in the packaging control management library The quality prediction weight parameter corresponding to the predefined average vibration frequency in the packaging control management library The quality prediction weight parameter corresponding to the predefined historical tilt angle value in the packaging control management library Is the quality prediction weight parameter corresponding to the predefined average value of the startup performance status index in the packaging control management library, where e is the natural constant

[0059] The startup performance status index of each of the above-mentioned bag suction components is obtained by comprehensively analyzing the suction dispersion value of each bag suction component during the startup cycle, the air flow velocity dispersion value of each bag suction component during the startup cycle, the response duration of each bag suction component during the startup cycle, the maximum noise value of each bag suction component during the startup cycle, and the maximum vibration frequency of each bag suction component during the startup cycle

[0060] In this embodiment, the predicted operating quality value of each filling component is a quantification used to measure whether the filling component can accurately, stably, and efficiently complete the filling operation in the upcoming filling operation. The higher the predicted operating quality value, the more stable the preparation state and the better the performance of the filling component

[0061] It should be explained that the above-mentioned historical material quantity refers to the material quantity set by the filling component automatically according to the previous material quantity during the startup waiting period; the actual material reference quantity refers to the actual adaptation quantity corresponding to the pre-set material; the historical filling speed refers to the filling speed set by the filling component automatically according to the previous filling speed during the startup waiting period; the actual filling adaptation speed refers to the actual speed adaptation value corresponding to the pre-set filling; the average vibration frequency refers to the average value of the vibration frequency of the driving element (such as a motor, screw drive device, etc.) during the startup waiting period; the average vibration frequency adaptation refers to the reference average value corresponding to the pre-set vibration frequency; the historical tilt angle value refers to the nozzle tilt angle value set by the filling component automatically according to the previous nozzle tilt angle value during the startup waiting period; the actual tilt reference angle value refers to the actual tilt angle adaptation value corresponding to the pre-set nozzle

[0062] Among them, the quality prediction weight parameters corresponding to the historical material quantity, the quality prediction weight parameters corresponding to the historical filling speed, the quality prediction weight parameters corresponding to the average vibration frequency, and the quality prediction weight parameters corresponding to the historical tilt angle value are all extracted from the packaging control management library. The mapping relationship therein can be one-to-one or many-to-one. For example, the historical material quantity and the quality prediction weight parameters corresponding to the historical material quantity preset in the packaging control management library form a mapping set, and substituting the historical material quantity into the mapping set to obtain the quality prediction weight parameters corresponding to the historical material quantity; the historical filling speed and the quality prediction weight parameters corresponding to the historical filling speed preset in the packaging control management library form a mapping set, and substituting the historical filling speed into the mapping set to obtain the quality prediction weight parameters corresponding to the historical filling speed; the average vibration frequency and the quality prediction weight parameters corresponding to the average vibration frequency preset in the packaging control management library form a mapping set, and substituting the average vibration frequency into the mapping set to obtain the quality prediction weight parameters corresponding to the average vibration frequency; the historical tilt angle value and the quality prediction weight parameters corresponding to the historical tilt angle value preset in the packaging control management library form a mapping set, and substituting the historical tilt angle value into the mapping set to obtain the quality prediction weight parameters corresponding to the historical tilt angle value. In this embodiment, the value ranges of the quality prediction weight parameters corresponding to the historical material quantity, the quality prediction weight parameters corresponding to the historical filling speed, the quality prediction weight parameters corresponding to the average vibration frequency, and the quality prediction weight parameters corresponding to the historical tilt angle value are all (0, 1).

[0063] Among them, the quality prediction weight parameters corresponding to the average value of the start-up performance status index are extracted from the packaging control management library. In the packaging control management library, there is a specific mapping relationship between the average value of the start-up performance status index and the quality prediction weight parameters. This mapping relationship can be in the form of one-to-one or many-to-one. For example, substituting the average value of the start-up performance status index detected in real time into the mapping set can obtain the corresponding quality prediction weight parameters. In this process, the average value of the start-up performance status index is used as the input, and the quality prediction weight parameters are used as the output, and the mapping set is used to establish the connection between the two. In this embodiment, the value range of the quality prediction weight parameters corresponding to the average value of the start-up performance status index is (0, 1).

[0064] In this embodiment, when the historical material quantity is much lower than the actual material reference quantity, there may be insufficient material supply at the initial stage of filling, making it difficult for the actual filling speed to reach the actual filling adaptation speed. Similarly, the historical filling speed deviates significantly from the actual filling adaptation speed, and may even lead to filling interruption, greatly reducing the predicted operation quality value of the filling component. If the historical material quantity is too high, it may affect the smooth transportation of materials due to reasons such as material accumulation, and also interfere with the filling speed, increasing the difference between the historical filling speed and the actual filling adaptation speed, and reducing the predicted operation quality value of the filling component. If the average vibration frequency deviates significantly from the adaptation average, it may mean that there is a fault or imbalance in the driving element, which will affect the transportation stability of the material. For example, it may cause the material to jump or flow unevenly during transportation, thus having a greater negative impact on the filling speed and filling quantity. At the same time, this unstable material transportation may also exert uneven forces on the nozzle, thereby changing the actual tilt angle of the nozzle, increasing the difference between the historical nozzle tilt angle value and the actual tilt reference angle value, and reducing the predicted operation quality value of the filling component.

[0065] It should be explained that in this embodiment, each bag suction component corresponds to and is directly opposite to each filling component. The larger the starting performance state index of each bag suction component, the faster and more stable the bag suction component can start and successfully suck the packaging bag, so as to provide the packaging bag to be filled for the filling component in a timely manner, reducing the idle waiting time of the filling component and enabling the filling operation to be carried out more closely and continuously. A stable bag suction operation can ensure that the position of the packaging bag on the fixing component is relatively fixed, providing a good basis for the accurate filling of the filling component. If the suction force of the bag suction component is unstable, it may cause the packaging bag to shift during the filling process, affecting the relative position between the nozzle and the opening of the packaging bag, thereby reducing the filling accuracy and the predicted operation quality value of the filling component.

[0066] Furthermore, the automatic packaging control platform determines whether to optimize the filling of each filling component. Specifically, it compares the predicted operation quality value of each filling component with the predefined predicted operation quality permission value range to obtain a quality prediction comparison result, and based on this, the automatic packaging control platform determines whether to optimize the filling of each filling component.

[0067] The quality prediction comparison result is the first quality prediction comparison result or the second quality prediction comparison result.

[0068] The first quality prediction comparison result is specifically that the predicted operation quality values of each filling component all belong to the predefined predicted operation quality permission value range in the packaging control management library.

[0069] The second quality prediction comparison result is specifically that there exists a predicted operation quality value of a certain filling component that does not belong to the predicted operation quality permission value range.

[0070] If the quality prediction comparison result shows the first quality prediction comparison result, the automatic packaging control platform determines that there is no need to optimize the filling of each filling component, and performs the filling operation on the packaging bag. If the quality prediction comparison result shows the second quality prediction comparison result, the automatic packaging control platform determines that the filling component needs to be optimized for filling.

[0071] The above-mentioned optimization of the filling of the filling component specifically includes adding a stirring device in the storage box, starting the stirring regularly or as needed to prevent the material from caking and blocking the feeding port, ensuring that the material can be smoothly conveyed to the nozzle; segmentally controlling the filling process, reducing the material conveying speed when approaching the target filling amount to achieve more precise filling adjustment; using a high-precision weight sensor or volume measuring device to monitor the filling amount in real time, and accurately adjusting the working parameters of the first driving element, such as the motor speed or the screw propulsion speed, according to the sensor feedback data, to ensure that each filling amount can accurately meet the preset value; regularly cleaning the material residue of the filling component to prevent cross-contamination and blockage.

[0072] Pre-execution effect evaluation of the sealing component: After filling, each packaging bag of each fixed component waits for each sealing component to perform the sealing operation. Each sealing component receives the sealing instruction sent by the automatic packaging control platform, and evaluates the pre-execution effect index of each sealing component before starting the sealing instruction, and checks it with the predefined pre-execution effect permission index range. The automatic packaging control platform determines whether to optimize the sealing of each sealing component, and thus each sealing component automatically performs the sealing operation.

[0073] The core function of the above-mentioned sealing component is to tightly close the opening part of the packaging bag through specific technical means, such as heat sealing, pressure sealing, adhesion, etc., to ensure that the materials inside the package are not affected by the external environment, such as moisture-proof, anti-oxidation, anti-leakage, etc., so as to ensure the quality and shelf life of the product, and at the same time improve the appearance and overall packaging effect of the product. When the filled packaging bag is conveyed to the position of the sealing component, the control system first detects whether the position of the packaging bag is correct. After confirming that the position is correct, the heating device starts to heat up to the set heat sealing temperature. The pressure application mechanism is activated, and the heated sealing die is pressed against the opening part of the packaging bag, so that the packaging material melts and fuses together under the combined action of high temperature and pressure. After a certain heat sealing time, the heating device stops heating, and the cooling device starts to work to cool the heat sealed part, so that the melted material solidifies to form a firm seal. After the sealing is completed, the pressure application mechanism is released, and the packaging bag is released to complete the entire sealing process.

[0074] Specifically, the process of evaluating the pre-execution effect index of each sealing component is as follows:

[0075] Obtain the pre-execution data of each sealing component, specifically including the real-time heating temperature of each sealing component during the pre-execution cycle, the historical sealing duration of each sealing component during the pre-execution cycle, the average historical sealing pressure of each sealing component during the pre-execution cycle, and the real-time ambient humidity of the area where each sealing component is located during the pre-execution cycle.

[0076] The above pre-execution cycle is specifically a period of time for estimating the execution effect of the sealing component before the actual sealing operation. The determination of the pre-execution cycle is obtained through comprehensive analysis by the packaging control management personnel based on factors such as the status of the sealing component, the filling status, and the actual sealing requirements. The above pre-execution data can be specifically extracted from the pre-execution report of the sealing component.

[0077] Match the startup performance status indicators of each bag suction component with the corresponding actual sealing pressure reference values in the predefined startup performance status indicator intervals in the packaging control management library. The specific matching process is as follows: Extract the mapping set between the startup performance status indicators of each bag suction component and each actual sealing pressure reference value from the packaging control management library, determine the interval to which the startup performance status indicator of each bag suction component belongs, obtain the corresponding actual sealing pressure reference value for this interval, and thus match each actual sealing pressure reference value and perform an averaging process to obtain the average actual sealing pressure reference value.

[0078] Match the air velocity dispersion degree values of each bag suction component during the startup cycle with the corresponding actual heating reference temperatures in the predefined air velocity dispersion degree value intervals in the packaging control management library. The specific matching process is as follows: Extract the mapping set between the air velocity dispersion degree values of each bag suction component during the startup cycle and the actual heating reference temperatures from the packaging control management library, determine the interval to which the air velocity dispersion degree value of each bag suction component during the startup cycle belongs, obtain the corresponding actual heating reference temperature for this interval, and thus match each actual heating reference temperature and perform an averaging process to obtain the average actual heating reference temperature.

[0079] Extract the actual sealing adaptation duration and the ambient reference humidity from the packaging control management library.

[0080] Comprehensively analyze the real-time heating temperature of each sealing component during the pre-execution cycle, the historical sealing duration of each sealing component during the pre-execution cycle, the average historical sealing pressure of each sealing component during the pre-execution cycle, the real-time ambient humidity of the area where each sealing component is located during the pre-execution cycle, and the estimated operation quality of each filling component to obtain the pre-execution effect index of each sealing component.

[0081] Furthermore, the specific analysis method of the pre-execution effect index of each sealing component is as follows:

[0082]

[0083] In the formula, is the pre-execution effect index of the m-th sealing component, where m is the number of each sealing component, , and M is the total number of sealing components, is the real-time heating temperature of the m-th sealing component at the t-th moment in the pre-execution cycle, and t is the time variable, , is the start time point of the pre-execution cycle, is the end time point of the pre-execution cycle, is the average value of the actual heating reference temperature, is the real-time ambient humidity of the area where the m-th sealing component is located at the t-th moment in the pre-execution cycle, is the ambient reference humidity, is the historical sealing duration of the m-th sealing component during the pre-execution cycle, is the actual sealing adaptation duration, is the average value of the historical sealing pressure of the m-th sealing component during the pre-execution cycle, is the average value of the actual sealing pressure reference, is the pre-estimated operation quality value of the b-th filling component, where b is the number of each filling component, , and B is the total number of filling components, The pre-execution effect weight parameter corresponding to the real-time heating temperature predefined in the packaging control management library, The pre-execution effect weight parameter corresponding to the real-time ambient humidity predefined in the packaging control management library, The pre-execution effect weight parameter corresponding to the historical sealing duration predefined in the packaging control management library, The pre-execution effect weight parameter corresponding to the average value of the historical sealing pressure predefined in the packaging control management library, is the pre-execution effect weight parameter corresponding to the average value of the pre-estimated operation quality predefined in the packaging control management library, and e is the natural constant.

[0084] The pre-estimated operation quality values of the above-mentioned filling components represent that through comprehensive analysis of the historical material quantity of each filling component during the start-up waiting period, the historical filling speed of each filling component during the start-up waiting period, the average vibration frequency of the driving elements to which each filling component belongs during the start-up waiting period, the start-up performance status indicators of each bag-sucking component, and the historical tilt angle values of the nozzles to which each filling component belongs, the pre-estimated operation quality values of each filling component are obtained.

[0085] In this embodiment, the pre-execution effect index of the sealing component is a comprehensive index used to measure the effectiveness of the preparatory work of the sealing component before the formal sealing operation and the potential sealing quality. It reflects the situation in aspects such as whether the temperature preheating of the sealing component reaches the optimal state, whether the pressure pre-regulation is accurate, whether the preset sealing time is reasonable, and whether the equipment self-check is comprehensive and free of potential faults.

[0086] It should be explained that the above real-time heating temperature refers to the temperature value actually reached by the heating element (such as heating wire, heating plate, etc.) of the sealing component during the pre-execution cycle; the average reference temperature of actual heating refers to the average adapted temperature corresponding to the predefined actual heating; the real-time ambient humidity refers to the humidity value actually reached in the area where the sealing component is located during the pre-execution cycle; the reference humidity of the environment refers to the adapted value corresponding to the predefined ambient humidity; the historical sealing duration refers to the sealing duration set by the sealing component automatically according to the previous sealing duration during the pre-execution cycle; the actual adapted sealing duration refers to the reference duration corresponding to the predefined actual sealing; the average historical sealing pressure refers to the average sealing pressure set by the sealing component automatically according to the previous average sealing pressure during the pre-execution cycle; the average reference pressure of actual sealing refers to the average adapted pressure corresponding to the predefined actual sealing.

[0087] Among them, the pre-execution effect weight parameters corresponding to the real-time heating temperature, the pre-execution effect weight parameters corresponding to the real-time ambient humidity, the pre-execution effect weight parameters corresponding to the historical sealing duration, and the pre-execution effect weight parameters corresponding to the average historical sealing pressure are all obtained by extracting from the packaging control management library. The mapping relationship therein can be a one-to-one or many-to-one relationship. For example, the real-time heating temperature and the pre-execution effect weight parameters corresponding to the preset real-time heating temperature in the packaging control management library form a mapping set, and the real-time heating temperature is brought into the mapping set to obtain the pre-execution effect weight parameters corresponding to the real-time heating temperature; the real-time ambient humidity and the pre-execution effect weight parameters corresponding to the preset real-time ambient humidity in the packaging control management library form a mapping set, and the real-time ambient humidity is brought into the mapping set to obtain the pre-execution effect weight parameters corresponding to the real-time ambient humidity; the historical sealing duration and the pre-execution effect weight parameters corresponding to the preset historical sealing duration in the packaging control management library form a mapping set, and the historical sealing duration is brought into the mapping set to obtain the pre-execution effect weight parameters corresponding to the historical sealing duration; the average historical sealing pressure and the pre-execution effect weight parameters corresponding to the preset average historical sealing pressure in the packaging control management library form a mapping set, and the average historical sealing pressure is brought into the mapping set to obtain the pre-execution effect weight parameters corresponding to the average historical sealing pressure. In this embodiment, the value ranges of the pre-execution effect weight parameters corresponding to the real-time heating temperature, the pre-execution effect weight parameters corresponding to the real-time ambient humidity, the pre-execution effect weight parameters corresponding to the historical sealing duration, and the pre-execution effect weight parameters corresponding to the average historical sealing pressure are all (0, 1).

[0088] Among them, the pre-execution effect weight parameter corresponding to the predicted average value of the operation quality is obtained by extracting from the packaging control management library. In the packaging control management library, there is a specific mapping relationship between the predicted average value of the operation quality and the pre-execution effect weight parameter. This mapping relationship can be in the form of one-to-one or many-to-one. For example, substituting the predicted average value of the operation quality detected in real time into this mapping set can obtain the corresponding pre-execution effect weight parameter. In this process, the predicted average value of the operation quality is used as the input, and the pre-execution effect weight parameter is used as the output. The relationship between the two is established through the mapping set. In this embodiment, the value range of the pre-execution effect weight parameter corresponding to the predicted average value of the operation quality is (0, 1).

[0089] In this embodiment, if the historical heating temperature is lower than the average value of the actual heating reference temperature, the material may not be softened enough during the actual sealing operation. In order to achieve a good sealing effect, the sealing component may automatically extend the historical sealing duration, resulting in an increase in the difference between the historical sealing duration and the actual sealing adaptation duration. At the same time, the sealing component may also increase the sealing pressure, resulting in a change in the difference between the average value of the historical sealing pressure and the average value of the actual sealing pressure reference, so that the pre-execution effect of the sealing component is greatly reduced. On the contrary, if the real-time heating temperature is higher than the average value of the actual heating reference temperature, the material may be over-softened or even damaged. At this time, the sealing component may need to shorten the sealing duration to avoid sealing quality problems. Moreover, too high a temperature may affect the control of the sealing pressure because the material state changes, and the pressure-bearing capacity and requirements are also different. All these will have a negative impact on the pre-execution effect of the sealing component; a high-humidity environment may affect the sealing pressure and the sealing duration. In order to ensure the tightness of the seal, it may be necessary to appropriately increase the sealing pressure, change the difference between the average value of the historical sealing pressure and the average value of the actual sealing pressure reference, or extend the sealing duration, change the difference between the historical sealing duration and the actual sealing adaptation duration, because in a high-humidity situation, the viscosity and fusion performance of the material may decrease, resulting in the pre-execution effect of the sealing component not reaching the ideal state.

[0090] In this embodiment, when the predicted value of the operation quality of each filling component is larger, it means that the material transportation during the filling process is more accurate and stable. This can ensure that the amount of material in each packaging bag can accurately reach the expected value, making the shape of the packaging bag more regular and the fullness degree consistent when entering the sealing stage, which is beneficial for the sealing component to better perform pre-execution operations such as preheating and pressure adjustment, facilitating the sealing component to apply uniform pressure and temperature control to the packaging bag, thereby improving the pre-execution effect index; a higher predicted value of the operation quality of the filling component indicates that the filling operation can be completed efficiently and orderly. This helps to make the rhythm of the entire packaging production line more stable, the connection between the filling component and the sealing component more smooth, reduce the hasty response situation caused by delays or quality problems in the previous processes, and thus improve the pre-execution effect index.

[0091] Specifically, the automatic packaging control platform determines whether to optimize the sealing of each sealing component. Specifically, it performs a pre-execution effect verification on the pre-execution effect index of each sealing component and the pre-defined pre-execution effect permission index range to obtain a pre-execution effect verification result, and based on this, the automatic packaging control platform determines whether to optimize the sealing of each sealing component.

[0092] The pre-execution effect verification result is the first pre-execution effect verification result or the second pre-execution effect verification result.

[0093] The first pre-execution effect verification result is specifically that the pre-execution effect index of each sealing component belongs to the pre-defined pre-execution effect permission index range in the packaging control management library.

[0094] The second pre-execution effect verification result is specifically that there is a pre-execution effect index of a certain sealing component that does not belong to the pre-execution effect permission index range.

[0095] If the pre-execution effect verification result shows the first pre-execution effect verification result, the automatic packaging control platform determines that there is no need to optimize the sealing of each sealing component, and performs a sealing operation on the filled packaging bags. If the pre-execution effect verification result shows the second pre-execution effect verification result, the automatic packaging control platform determines that it is necessary to optimize the sealing of this sealing component.

[0096] The above-mentioned optimization of the sealing of this sealing component specifically uses a PID controller, so that the sealing component can more accurately monitor and adjust the sealing temperature, and according to the characteristics and thickness of different packaging materials, realize the dynamic adjustment of the sealing temperature to ensure the best sealing effect in various situations; use a new type of ceramic heating sheet or infrared heating tube, which can reach the set temperature faster and has a more uniform temperature distribution compared with the traditional heating method, reducing the sealing quality problems caused by uneven temperature; install a high-precision pressure sensor and an electronic pressure regulating valve to monitor and accurately adjust the sealing pressure in real time, so that the sealing pressure is always maintained within the best range to ensure the tightness and consistency of the seal; use a time control module of a microprocessor to accurately control the sealing time, and the sealing component can flexibly set the sealing time according to different packaging materials and sealing requirements.

[0097] Wait for packaging control again: Each filled packaging bag is released by each fixing component, and at the same time, the automatic packaging control platform controls the transfer component to drive each fixing component to move to the second position to wait for the filling operation again, and finally completes the multi-station automatic packaging control.

[0098] Furthermore, the specific control process of the final completion of the multi-station automatic packaging control is as follows:

[0099] Each of the fixing components specifically includes each first fixing component and each second fixing component.

[0100] It should be elaborated that each first fixing component and each second fixing component are specifically divided according to different functions in the packaging process. The first fixing component focuses on cooperating with the bag suction component to provide stable support for the initial positioning of the packaging bag, ensuring accurate and efficient bag suction operation. The second fixing component closely revolves around the filling and sealing processes, with stronger load-bearing capacity. It can firmly support the packaging bag already filled with materials, preventing it from shifting due to impact during filling and keeping it flat during sealing, meeting the requirements of the sealing process for the position accuracy of the packaging bag.

[0101] From the moment the material enters the packaging link, first is the bag suction step. At this time, the first fixing component comes into play, starting the front-end process of the packaging flow. As the need for material filling arrives, the process enters the filling stage. The second fixing component takes over, receiving the semi-finished products with packaging bags transferred from the first fixing component to ensure smooth filling. After filling is completed, the second fixing component continues to carry the packaging bag until the sealing operation is successfully completed, achieving precise adaptation to different stages of the entire packaging process.

[0102] Through this clear division of labor, the connection between processes such as bag suction, filling, and sealing is as smooth as silk. After quickly and accurately positioning the packaging bag, the first fixing component can quickly transfer it to the second fixing component, avoiding stagnation and chaos in the intermediate links, greatly improving the overall packaging efficiency and reducing the production cycle.

[0103] The automatic packaging control platform controls the transfer component to drive each fixing component to move to the first position and wait for each filling component to automatically perform the filling operation. Specifically, the automatic packaging control platform controls the transfer component to drive each first fixing component to move to the first position and wait for each filling component to perform the filling operation on each packaging bag clamped by each first fixing component.

[0104] At this time, each first fixing component and each filling component are in one-to-one correspondence and cooperate relatively. Each filling component fills the material into the packaging bag clamped by each first fixing component.

[0105] The automatic packaging control platform controls the transfer component to drive each fixing component to move to the second position to perform the filling operation again. Specifically, the automatic packaging control platform controls the transfer component to drive each second fixing component to move to the second position and wait for each filling component to perform the filling operation on each packaging bag clamped by each second fixing component.

[0106] At this time, each second fixing component and each filling component correspond to each other and are arranged opposite to each other. Each filling component fills the material into the packaging bag clamped by each second fixing component, and each sealing component seals the packaging bag clamped by each first fixing component. Each first fixing component and each sealing component correspond to each other and are arranged opposite to each other.

[0107] It should be elaborated that the multi-station automatic packaging equipment includes fixing components, transfer components, filling components, and sealing components. The number of fixing components is multiple. For example, in this embodiment, there are 6, and they are sequentially connected to the transfer component at equal intervals. The transfer component adopts a linear slide table module. The fixing component is connected to its slide, and the moving direction of the fixing component is parallel to the plane where each sealing component is located, and it can drive the fixing components to move synchronously. The number of both the filling components and the sealing components is multiple. The number of filling components is one less than the number of sealing components. In this embodiment, if there are 3 filling components, then there are 4 sealing components. The filling components are located exactly in the middle between two adjacent sealing components and at the same height, and the sealing components are also at the same height.

[0108] The fixing components are divided into first fixing components and second fixing components that are staggered with each other. If there are 6 fixing components as mentioned above, then the number of the first fixing components and the second fixing components here is 3 each. Their structures and sizes are exactly the same except for the positions. The fixing component includes a first clamping piece and a second clamping piece arranged oppositely, as well as a first swing arm, a second swing arm, and a support beam. One end of the first swing arm is rotatably connected to the support beam, and the other end is connected to the first clamping piece; the second swing arm is similarly connected to the second clamping piece. The rotation plane of the first swing arm is parallel to the rotation plane of the second swing arm, and the support beam is fixedly connected to the transfer component.

[0109] The multi-station automatic packaging equipment further includes a bag sucking component, the number of which is the same as the number of filling components. For example, in this embodiment, if there are 3 filling components, then the number of bag sucking components is also 3. The bag sucking components and the filling components correspond to each other and are directly opposite, and are used to suck the packaging bag and transport it to the fixing component.

[0110] Refer to Figure 2 As shown, in the second aspect of the present invention, there is provided a multi-station automatic packaging control system, including: a bag sucking component start determination module, a filling operation waiting execution module, a running quality prediction determination module, a pre-execution effect evaluation module for the sealing component, and a waiting-for-packaging control module again.

[0111] In the second aspect of the present invention, there is provided a multi-station automatic packaging control system, further including: a packaging control management library for storing the defined value of the suction discreteness degree, the defined time length of the response boundary, the defined value of the air flow velocity discreteness degree, the defined value of the noise, the defined value of the vibration frequency, the adaptation mean value of the vibration frequency, the actual filling adaptation speed, the actual material reference quantity, the actual inclination reference angle value, the actual sealing adaptation time length, the environmental reference humidity, and the preset values of various factors.

[0112] The suction bag component startup determination module is connected to the filling operation waiting execution module, the filling operation waiting execution module is connected to the operation quality prediction determination module, the operation quality prediction determination module is connected to the pre-execution effect evaluation module of the sealing component, the pre-execution effect evaluation module of the sealing component is connected to the re-waiting packaging control module, and the suction bag component startup determination module, the operation quality prediction determination module, and the pre-execution effect evaluation module of the sealing component are all connected to the packaging control management library.

[0113] The suction bag component startup determination module is used for each suction bag component to receive the startup instruction from the automatic packaging control platform, obtain the startup performance data of each suction bag component before the startup instruction is executed, determine the startup performance status indicators of each suction bag component, and perform verification with the predefined startup performance status adaptation indicators, so that the automatic packaging control platform determines whether to perform performance optimization on each suction bag component.

[0114] The filling operation waiting execution module is used for each suction bag component to execute the startup instruction of the automatic packaging control platform, and automatically transport the corresponding packaging bags to each fixing component after execution, so that the automatic packaging control platform controls the transfer component to drive each fixing component to move to the first position to wait for each filling component to execute the filling operation.

[0115] The operation quality prediction determination module is used for each filling component to receive the filling instruction sent by the automatic packaging control platform, determine the predicted operation quality value of each filling component before the filling instruction is started, compare it with the predefined allowable predicted operation quality value range, so that the automatic packaging control platform determines whether to perform filling optimization on each filling component, and finally each filling component automatically executes the filling operation.

[0116] The pre-execution effect evaluation module of the sealing component is used for each packaging bag belonging to each fixing component after filling to wait for each sealing component to execute the sealing operation. Each sealing component receives the sealing instruction sent by the automatic packaging control platform, evaluates the pre-execution effect index of each sealing component before the sealing instruction is started, and performs verification with the predefined allowable pre-execution effect index range, so that the automatic packaging control platform determines whether to perform sealing optimization on each sealing component, and thus each sealing component automatically executes the sealing operation.

[0117] The re-waiting packaging control module is used for each packaging bag after sealing to be released by each fixing component, and at the same time the automatic packaging control platform controls the transfer component to drive each fixing component to move to the second position to wait for the filling operation again, and finally completes the multi-station automatic packaging control.

[0118] The above content is only an example and illustration of the structure of the present invention. Those skilled in the art to which the present technology pertains can make various modifications or supplements to the described specific embodiments, or use similar methods for substitution, as long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, and shall fall within the protection scope of the present invention.

Claims

1. A multi-station automatic packaging control method, characterized in that: include: Bag suction component startup determination: Each bag suction component receives the startup instruction from the automatic packaging control platform, and obtains the startup performance data of each bag suction component before the startup instruction is executed, determines the startup performance status index of each bag suction component, and verifies it with the predefined startup performance status adaptation index. The automatic packaging control platform determines whether to optimize the performance of each bag suction component; The filling operation is waiting for execution: each bag suction component executes the start-up instruction of the automatic packaging control platform, and automatically transports the corresponding packaging bag to each fixed component after execution, so that the automatic packaging control platform controls the transfer component to drive each fixed component to move to the first position and wait for each filling component to perform the filling operation; Operation quality estimation and judgment: Each filling component receives the filling instruction sent by the automatic packaging control platform, and before starting the filling instruction, it determines the operation quality estimation value of each filling component and compares it with the predefined operation quality allowable estimation value range. The automatic packaging control platform determines whether to optimize the filling of each filling component, and finally each filling component automatically performs the filling operation; Sealing component pre-execution effect evaluation: After the filling is completed, each packaging bag belonging to each fixed component waits for each sealing component to perform the sealing operation. Each sealing component receives the sealing instruction sent by the automatic packaging control platform, and evaluates the pre-execution effect index of each sealing component before starting the sealing instruction, and verifies it with the predefined pre-execution effect allowable index range. The automatic packaging control platform determines whether to optimize the sealing of each sealing component, so that each sealing component automatically performs the sealing operation; Waiting for packaging control again: each sealed packaging bag is released by each fixed component, and at the same time, the automatic packaging control platform controls the transfer component to drive each fixed component to move to the second position to wait for the filling operation again, and finally completes the multi-station automatic packaging control; Each of the filling components receives a filling instruction sent by the automatic packaging control platform, and before starting the filling instruction, determines the estimated value of the running quality of each filling component, thereby obtaining the start-up waiting data of each filling component, specifically including the historical material quantity of each filling component during the start-up waiting period, the historical filling speed of each filling component during the start-up waiting period, the vibration frequency of the driving element of each filling component at each start-up waiting time point, and the historical tilt angle value of the nozzle of each filling component; The vibration frequencies of the driving elements of each filling component at each start-up waiting time point are processed by averaging to obtain the average vibration frequencies of the driving elements of each filling component within the start-up waiting period; Extract the vibration frequency adaptation mean value, actual filling adaptation speed, actual material reference amount and actual tilt reference angle value from the packaging control management library; A comprehensive analysis is performed on the historical material quantity of each filling component during the startup waiting period, the historical filling speed of each filling component during the startup waiting period, the average vibration frequency of the driving element of each filling component during the startup waiting period, the startup performance status index of each suction bag component and the historical inclination angle value of the nozzle of each filling component to obtain the estimated operation quality of each filling component.

2. According to claim 1, a multi-station automatic packaging control method is characterized in that: The specific determination process of determining the startup performance status index of each suction bag assembly is as follows: The startup performance data of each suction bag assembly specifically includes the suction force value of each suction bag assembly at each startup time point, the response time of each suction bag assembly during the startup cycle, the airflow velocity of each suction bag assembly at each startup time point, the maximum noise value of each suction bag assembly during the startup cycle, and the maximum vibration frequency of each suction bag assembly during the startup cycle; The suction force values ​​of each suction bag assembly at each start-up time point are processed by standard deviation to obtain the suction force dispersion value of each suction bag assembly within the start-up cycle; Perform standard deviation processing on the airflow velocity of each suction bag assembly at each start-up time point to obtain the airflow velocity dispersion value of each suction bag assembly during the start-up cycle; Extract the suction force discrete degree limit value, response limit duration, air flow velocity discrete degree limit value, noise limit value and vibration frequency limit value from the packaging control management library; The suction force discreteness values ​​of each suction bag assembly during the startup cycle, the air flow velocity discreteness values ​​of each suction bag assembly during the startup cycle, the response time of each suction bag assembly during the startup cycle, the maximum noise value of each suction bag assembly during the startup cycle, and the maximum vibration frequency value of each suction bag assembly during the startup cycle are comprehensively analyzed to obtain the startup performance status index of each suction bag assembly.

3. According to claim 2, a multi-station automatic packaging control method is characterized in that: The automatic packaging control platform determines whether to optimize the performance of each bag suction component, specifically, by performing a startup performance check on the startup performance status index of each bag suction component and a predefined startup performance status adaptation index to obtain a startup performance check result, and the automatic packaging control platform determines whether to optimize the performance of each bag suction component; The startup performance verification result is the first startup performance verification result or the second startup performance verification result; The first startup performance verification result is specifically that the startup performance status index of each suction bag assembly is greater than or equal to the startup performance status adaptation index; The second startup performance verification result is specifically that the startup performance status index of a certain suction bag component is less than the startup performance status adaptation index; If the startup performance verification result shows the first startup performance verification result, the automatic packaging control platform determines that there is no need to optimize the performance of each bag suction component and executes the bag suction operation. If the startup performance verification result shows the second startup performance verification result, the automatic packaging control platform determines that the performance of the bag suction component needs to be optimized.

4. The multi-station automatic packaging control method according to claim 1, characterized in that: The automatic packaging control platform determines whether to optimize the filling of each filling component, specifically, by comparing the running quality estimate of each filling component with the predefined running quality allowable estimate interval to obtain the quality estimate comparison result, and the automatic packaging control platform determines whether to optimize the filling of each filling component; The quality estimation comparison result is the first quality estimation comparison result or the second quality estimation comparison result; The first quality estimation comparison result is specifically that the operation quality estimation values ​​of each filling component belong to the operation quality allowable estimation value range; The second quality estimation comparison result is specifically that the operation quality estimation value of a certain filling component does not belong to the operation quality allowable estimation value range; If the quality estimation comparison result shows the first quality estimation comparison result, the automatic packaging control platform determines that there is no need to optimize the filling of each filling component and performs the filling operation on the packaging bag. If the quality estimation comparison result shows the second quality estimation comparison result, the automatic packaging control platform determines that the filling component needs to be optimized.

5. The multi-station automatic packaging control method according to claim 1, characterized in that: The specific evaluation process of evaluating the pre-execution effect index of each sealing component is as follows: Obtain the pre-execution data of each sealing component, including the real-time heating temperature of each sealing component in the pre-execution period, the historical sealing time of each sealing component in the pre-execution period, the historical sealing pressure average of each sealing component in the pre-execution period, and the real-time environmental humidity of the area to which each sealing component belongs in the pre-execution period; Matching the startup performance status index of each suction bag assembly with the actual sealing pressure reference value corresponding to each predefined startup performance status index interval, thereby obtaining each actual sealing pressure reference value, and performing average processing to obtain the actual sealing pressure reference average value; Matching the airflow velocity discreteness value of each suction bag assembly in the startup cycle with the actual heating reference temperature corresponding to each predefined airflow velocity discreteness value interval, thereby obtaining each actual heating reference temperature, and performing average processing to obtain the average value of the actual heating reference temperature; The actual sealing adaptation time and the environmental reference humidity are extracted from the packaging control management library; The real-time heating temperature of each sealing component during the pre-execution cycle, the historical sealing time of each sealing component during the pre-execution cycle, the historical sealing pressure average of each sealing component during the pre-execution cycle, the real-time ambient humidity of the area to which each sealing component belongs during the pre-execution cycle, and the estimated operating quality of each filling component are comprehensively analyzed to obtain the pre-execution effect index of each sealing component.

6. The multi-station automatic packaging control method according to claim 5, characterized in that: The specific analysis method of the pre-execution effect index of each sealing component is as follows: In the formula, is the pre-execution effect index of the mth sealing component, m is the number of each sealing component, , M is the total amount of sealing components, is the real-time heating temperature of the mth sealing component at the tth moment of the pre-execution cycle, t is the time variable, , is the start time of the pre-execution cycle, is the end time of the pre-execution cycle, is the actual heating reference temperature average, is the real-time ambient humidity of the area to which the mth sealing component belongs at the tth moment of the pre-execution cycle, is the ambient reference humidity, is the historical sealing duration of the mth sealing component in the pre-execution period, To adapt the actual sealing time, is the historical average sealing pressure of the mth sealing component in the pre-execution period, is the reference mean of the actual sealing pressure, is the estimated running quality of the bth filling component, b is the number of each filling component, , B is the total amount of the filling component, The pre-execution effect weight parameter corresponding to the real-time heating temperature predefined in the packaging control management library, The pre-execution effect weight parameter corresponding to the real-time ambient humidity predefined in the packaging control management library, The pre-execution effect weight parameter corresponding to the historical sealing time predefined in the packaging control management library, The pre-execution effect weight parameter corresponding to the historical sealing pressure mean value predefined in the packaging control management library, It is the pre-execution effect weight parameter corresponding to the estimated mean value of operation quality predefined in the packaging control management library, and e is a natural constant.

7. A multi-station automatic packaging control method according to claim 6, characterized in that: The automatic packaging control platform determines whether to perform sealing optimization on each sealing component, specifically, the pre-execution effect index of each sealing component is verified with a predefined pre-execution effect allowable index interval to obtain a pre-execution effect verification result, and the automatic packaging control platform determines whether to perform sealing optimization on each sealing component; The pre-execution effect verification result is the first pre-execution effect verification result or the second pre-execution effect verification result; The first pre-execution effect verification result is specifically that the pre-execution effect index of each sealing component belongs to the pre-execution effect allowable index range; The second pre-execution effect verification result is specifically that the pre-execution effect index of a certain sealing component does not belong to the pre-execution effect permitted index range; If the pre-execution effect verification result shows the first pre-execution effect verification result, the automatic packaging control platform determines that there is no need to perform sealing optimization on each sealing component, and performs the sealing operation on the packaging bag after filling. If the pre-execution effect verification result shows the second pre-execution effect verification result, the automatic packaging control platform determines that it is necessary to perform sealing optimization on the sealing component.

8. The multi-station automatic packaging control method according to claim 1, characterized in that: The final multi-station automatic packaging control is completed, and the specific control process is: The fixing components specifically include first fixing components and second fixing components; The automatic packaging control platform controls the transfer component to drive each fixed component to move to the first position to wait for each filling component to perform a filling operation. Specifically, the automatic packaging control platform controls the transfer component to drive each first fixed component to move to the first position to wait for each filling component to perform a filling operation on each packaging bag clamped by each first fixed component. The automatic packaging control platform controls the transfer component to drive each fixed component to move to the second position and wait for the filling operation again. Specifically, the automatic packaging control platform controls the transfer component to drive each second fixed component to move to the second position, waiting for each filling component to perform the filling operation on each packaging bag clamped by each second fixed component.

9. A system using a multi-station automatic packaging control method as claimed in any one of claims 1 to 8, characterized in that: include: The bag suction component startup determination module is used for each bag suction component to receive the startup instruction of the automatic packaging control platform, and obtain the startup performance data of each bag suction component before the startup instruction is executed, determine the startup performance status index of each bag suction component, and verify it with the predefined startup performance status adaptation index, and the automatic packaging control platform determines whether to optimize the performance of each bag suction component; The filling operation waiting execution module is used for each bag suction component to execute the start-up instruction of the automatic packaging control platform, and automatically transport the corresponding packaging bag to each fixed component after execution, so that the automatic packaging control platform controls the transfer component to drive each fixed component to move to the first position to wait for each filling component to perform the filling operation; The operation quality estimation and determination module is used for each filling component to receive the filling instruction sent by the automatic packaging control platform, and before starting the filling instruction, to determine the operation quality estimation value of each filling component and compare it with the predefined operation quality allowable estimation value interval. The automatic packaging control platform determines whether to optimize the filling of each filling component, and finally each filling component automatically performs the filling operation; The sealing component pre-execution effect evaluation module is used for each packaging bag belonging to each fixed component to wait for each sealing component to perform the sealing operation after the filling is completed. Each sealing component receives the sealing instruction sent by the automatic packaging control platform, and evaluates the pre-execution effect index of each sealing component before starting the sealing instruction, and verifies it with the predefined pre-execution effect permission index range. The automatic packaging control platform determines whether to optimize the sealing of each sealing component, so that each sealing component automatically performs the sealing operation; Wait for the packaging control module again, and the sealed packaging bags are released by the fixed components. At the same time, the automatic packaging control platform controls the transfer component to drive the fixed components to move to the second position to wait for the filling operation again, and finally completes the multi-station automatic packaging control.

Citation Information

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