Method and system for detecting sealing performance of layered packaging bottle

Abstract

The invention discloses a method and system for detecting the sealing performance of a layered packaging bottle, and relates to the related technical field of sealing detection, and the method comprises the steps: carrying out the multi-probe synchronous vacuum treatment of a multi-layer cavity, monitoring the vacuum degree in the vacuum treatment process, and obtaining a vacuum treatment detection passing result; performing mixing channel functional detection on the multi-layer chamber to obtain a mixing channel functional detection passing result; evaluating the sealing integrity of the multi-layer chamber, and generating a sealing integrity detection passing result; and carrying out protective packaging on the layered packaging bottle according to a sealing integrity detection result. The technical problems that in the prior art, it is difficult to deal with the complex structure of a multi-layer cavity, the sealing state of each layer of cavity and the functionality of a mixing channel cannot be comprehensively evaluated, and consequently the sealing performance detection accuracy is insufficient are solved, and the technical effect of improving the sealing performance detection accuracy of the layered packaging bottle is achieved.

Description

Technical Field

[0001] This application relates to the technical field of sealing detection, and specifically to a method and system for detecting the sealing performance of a layered packaging bottle. Background Art

[0002] Due to its unique structure and functions, the layered packaging bottle has been widely used in the fields of food, medicine, cosmetics, etc. The layered packaging bottle usually consists of multiple chambers, and each chamber can store different substances independently, and the substances can be mixed or separated through the mixing channels. The multi-chamber packaging bottle is usually composed of multiple different materials layered, and each layer of material has specific functions, including oxygen barrier, moisture protection, ultraviolet resistance, etc. For example, high-barrier materials such as EVOH (ethylene-vinyl alcohol copolymer) and PVDC (polyvinylidene chloride) are widely used in multi-chamber packaging bottles to enhance their barrier properties. In addition, the introduction of nanomaterials has further improved the mechanical strength and sealing performance of the packaging bottle. Although the layered structure improves the functionality of the packaging bottle, the complex structure of the layered packaging bottle poses challenges to the detection of sealing performance. Sealing performance is the key to ensuring that the substances in the packaging bottle are not contaminated by the outside world and maintaining their original quality. However, traditional sealing detection methods often have difficulty dealing with the complex structure of multi-chambers and cannot comprehensively evaluate the sealing state of each chamber and the functionality of the mixing channels. Especially the mutual influence between multi-chambers and the complexity of the mixing channels make it difficult for traditional detection methods to comprehensively cover all possible leakage points, thus affecting the accuracy and comprehensiveness of the sealing performance detection.

[0003] Therefore, in the current related technologies, there are technical problems that it is difficult to deal with the complex structure of multi-chambers, unable to comprehensively evaluate the sealing state of each chamber and the functionality of the mixing channels, and thus resulting in insufficient accuracy of the sealing performance detection. Summary of the Invention

[0004] By providing a method and system for detecting the sealing performance of a layered packaging bottle, this application solves the technical problems in the prior art that it is difficult to deal with the complex structure of multi-chambers, unable to comprehensively evaluate the sealing state of each chamber and the functionality of the mixing channels, and thus resulting in insufficient accuracy of the sealing performance detection, and achieves the technical effect of improving the accuracy of the sealing performance detection of the layered packaging bottle.

[0005] The present application provides a method for detecting the sealing performance of a layered packaging bottle, and the method includes: performing multi-probe synchronous vacuum treatment on a multi-layer chamber, monitoring the vacuum degree during the vacuum treatment, and obtaining a passing result of the vacuum treatment detection; performing a functional detection of a mixing channel on the multi-layer chamber according to the passing result of the vacuum treatment detection, and obtaining a passing result of the mixing channel functional detection; evaluating the sealing integrity of the multi-layer chamber based on the passing result of the mixing channel functional detection, and generating a passing result of the sealing integrity detection; and performing protective packaging on the layered packaging bottle with the passing result of the sealing integrity detection.

[0006] In a possible implementation manner, the method for detecting the sealing performance of the layered packaging bottle further performs the following processing: through staged air extraction during the vacuum treatment process, establishing a differential pressure model based on the comparison of the pressure values of adjacent chambers in the multi-layer chamber; calculating the correlation coefficient of the adjacent chambers according to the differential pressure model, and determining whether to trigger a leakage alarm in combination with the correlation coefficient and the differential pressure model; if the leakage alarm is not triggered, analyzing whether the attenuation rate of the adjacent chambers meets the attenuation rate standard of preset continuous data points, and obtaining an analysis result; if the analysis result is satisfied, obtaining the passing result of the vacuum treatment detection.

[0007] In a possible implementation manner, the method for detecting the sealing performance of the layered packaging bottle further performs the following processing: determining the pressure level and pressure threshold of the staged air extraction; performing staged pressure reduction with the pressure level and pressure threshold in combination with the staged pressure holding time until the pressure of the multi-layer chamber reaches a preset pressure level.

[0008] In a possible implementation manner, the method for detecting the sealing performance of the layered packaging bottle further performs the following processing: obtaining an alarm condition, where the alarm condition is that the correlation coefficient of the adjacent chambers is less than a preset correlation coefficient and the differential pressure of the adjacent chambers is greater than a preset differential pressure; determining whether the correlation coefficient and differential pressure of the adjacent chambers meet the alarm condition, and obtaining a determination result; if the determination result meets the satisfaction result, triggering a leakage alarm.

[0009] In a possible implementation manner, the method for detecting the sealing performance of the layered packaging bottle further performs the following processing: arranging strain gauges on the mixing channel of the multi-layer chamber for monitoring the stress of the knob opening and closing; opening the knob and recording the three-dimensional relationship curve of torque-rotation angle-pressure, and obtaining a sealing performance traceability coefficient; performing fluid visualization verification on the mixing channel based on a quantitative evaluation index, and if the verification passes, obtaining the passing result of the mixing channel functional detection, where the quantitative evaluation index includes leakage rate, diffusion uniformity, and interface clarity.

[0010] In a possible implementation, the method for detecting the sealing performance of the layered packaging bottle further performs the following processing: drawing a visual friction characteristic according to the torque-rotation angle relationship curve, and performing a first sealing quality analysis to obtain a first sealing performance traceability coefficient; identifying a sealing failure critical point through the rotation angle-pressure relationship curve, and determining a second sealing effectiveness analysis to obtain a second sealing performance traceability coefficient; performing an energy dissipation analysis with the three-dimensional relationship curve, and performing a third sealing wear analysis to obtain a third sealing performance traceability coefficient; calculating the mean value of the first sealing performance traceability coefficient, the second sealing performance traceability coefficient, and the third sealing performance traceability coefficient to obtain the sealing performance traceability coefficient.

[0011] In a possible implementation, the method for detecting the sealing performance of the layered packaging bottle further performs the following processing: performing a leak detection through the bubble method to obtain a leak rate level; based on the leak rate level, positioning the leak location of the obtained leak location for leak repair until a preset return repair re-inspection condition is met, and generating the sealing integrity detection pass result.

[0012] In a possible implementation, the method for detecting the sealing performance of the layered packaging bottle further performs the following processing: obtaining the initial state of the multiple chambers in the layered packaging bottle; arranging scanning reference points for the multiple chambers to establish a scanning coordinate system; dividing the multiple chambers according to the scanning coordinate system to obtain a first-level area, a second-level area, and a third-level area; performing point cloud registration on the overlapping area coordinates of the first-level area, the second-level area, and the third-level area, and planning a scanning path based on the registered point cloud to obtain a scanning path; comparing the repair scanning state of the scanning path with the initial state, quantifying the obtained state deviation to obtain a state deviation value; compensating for the error of the state deviation value.

[0013] In a possible implementation, the method for detecting the sealing performance of the layered packaging bottle further performs the following processing: automatically correcting the area boundary according to the real-time scan data feedback of the first-level area, the second-level area, and the third-level area, where the scan density of the first-level area is less than or equal to the scan density of the second-level area, and the scan density of the second-level area is less than or equal to the scan density of the third-level area.

[0014] The present application also provides a sealing performance detection system for a layered packaging bottle, including: a vacuum treatment detection module for performing multi-probe synchronous vacuum treatment on a multi-layer chamber, monitoring the vacuum degree during the vacuum treatment, and obtaining a passing result of the vacuum treatment detection; a mixing channel functionality detection module for performing a mixing channel functionality detection on the multi-layer chamber according to the passing result of the vacuum treatment detection, and obtaining a passing result of the mixing channel functionality detection; a sealing integrity evaluation module for evaluating the sealing integrity of the multi-layer chamber based on the passing result of the mixing channel functionality detection, and generating a passing result of the sealing integrity detection; and a protective packaging module for performing a protective packaging on the layered packaging bottle with the passing result of the sealing integrity detection.

[0015] It is intended to perform multi-probe synchronous vacuum treatment on a multi-layer chamber through the sealing performance detection method and system for a layered packaging bottle proposed in the present application, monitor the vacuum degree during the vacuum treatment, and obtain a passing result of the vacuum treatment detection; perform a mixing channel functionality detection on the multi-layer chamber, and obtain a passing result of the mixing channel functionality detection; perform a sealing integrity evaluation on the multi-layer chamber, and generate a passing result of the sealing integrity detection; and perform a protective packaging on the layered packaging bottle with the passing result of the sealing integrity detection. This solves the technical problems existing in the prior art, such as being difficult to cope with the complex structure of the multi-layer chamber, unable to comprehensively evaluate the sealing state and mixing channel functionality of each layer of the chamber, and thus resulting in insufficient accuracy of the sealing performance detection, and achieves the technical effect of improving the accuracy of the sealing performance detection of the layered packaging bottle. Description of the Drawings

[0016] To more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings of the embodiments of the present disclosure will be briefly introduced below. Flowcharts are used in this application to illustrate the operations performed by the systems according to the embodiments of the present application. It should be understood that the operations described above or below do not necessarily need to be executed precisely in sequence. On the contrary, according to the needs, they can be executed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several operations can be removed from these processes.

[0017] Figure 1 It is a schematic flowchart of the sealing performance detection method for a layered packaging bottle provided by an embodiment of the present application.

[0018] Figure 2 It is a schematic structural diagram of the sealing performance detection system for a layered packaging bottle provided by an embodiment of the present application.

[0019] Description of the reference numerals: vacuum treatment detection module 10, mixing channel functionality detection module 20, sealing integrity evaluation module 30, protective packaging module 40. Detailed Embodiments

[0020] The above description is only an overview of the technical solution of this application. In order to understand the technical means of this application more clearly, it can be implemented in accordance with the content of the specification. And in order to make the above and other purposes, features and advantages of this application more obvious and understandable, the specific embodiments of this application are specifically given below.

[0021] In order to make the purpose, technical solution and advantages of this application clearer, the following will further describe this application in detail with reference to the accompanying drawings. The described embodiments should not be regarded as limitations of this application. All other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of this application.

[0022] In the following description, "some embodiments" are involved, which describe a subset of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict. The terms "first / second" involved are only used to distinguish similar objects and do not represent a specific order for the objects. The terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or server including a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or modules not clearly listed or inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application.

[0023] The embodiment of this application provides a method for detecting the sealing performance of a layered packaging bottle, as Figure 1 shown. The method includes: Step S100, perform multi-probe synchronous vacuum treatment on the multi-layer chamber, monitor the vacuum degree during the vacuum treatment, and obtain the result of passing the vacuum treatment detection.

[0024] Preferably, the material structure of the multi-layer packaging bottle consists of multi-layer composite materials, aiming to improve the sealing performance, mechanical strength and barrier performance of the bottle body. For example, the materials of the multi-layer packaging bottle may include plastics such as PET (polyethylene terephthalate), HDPE (high-density polyethylene), PP (polypropylene), LDPE (low-density polyethylene), glass and composite materials. The multi-layer packaging bottle usually consists of multiple independent chambers, and the sealing performance of each chamber needs to be detected separately. Multiple vacuum probes (each probe corresponding to one chamber) are used to evacuate the multi-layer chambers simultaneously. Specifically, for the multi-layer chamber structure of the multi-layer packaging bottle, special vacuum probes are set in each chamber or key part to independently perform vacuum operation and data collection on the chamber where they are located. For example, for a three-layer multi-layer packaging bottle, vacuum probes are installed in the three-layer chambers respectively to process and monitor the three-layer chambers simultaneously. Then, using a vacuum device, these multi-probes are used to evacuate the multi-layer chambers simultaneously to ensure the consistency and synchronism of each chamber during the construction of the vacuum environment. For example, through a central control unit, the vacuum pipelines and valves connected to each probe are coordinated to evacuate each chamber at the same rate and degree, avoiding the situation that the vacuum degree of a certain chamber is too different from that of other chambers.

[0025] Preferably, each vacuum probe is connected to a vacuum degree monitor to collect the vacuum degree data of the chamber where it is located in real time and update it at a certain frequency. For example, the current vacuum degree value is recorded every second or every fraction of a second to form a vacuum degree change curve, which can intuitively display the change of the vacuum degree of each chamber, enabling the operator to observe the vacuum state of each chamber in real time, and can also judge whether the change of the vacuum degree meets the expectation, whether there are abnormal fluctuations or the situation that the set vacuum degree cannot be reached. For example, if the vacuum degree of a certain chamber has been unable to reach the specified value for a period of time, an alarm will be issued and possible problems such as poor chamber sealing or probe failure will be prompted.

[0026] Preferably, before vacuum treatment, a clear vacuum degree determination standard is set according to the design requirements of the layered packaging bottle, product characteristics, etc., including the target vacuum degree value to be finally achieved, and the allowable vacuum degree fluctuation range during the vacuum treatment process, etc. Then, the actually collected vacuum degree data of each chamber is compared with the set determination standard. If the vacuum degrees of all chambers can reach the target value within the specified time and remain within the allowable fluctuation range during the subsequent stable stage, it is determined that the vacuum treatment test passes and a corresponding pass result is generated, that is, the final vacuum treatment test pass result. By monitoring the change of vacuum degree in real time, the sealing state of each chamber can be accurately judged, avoiding missed detection or misdetection. If the vacuum degree of any one chamber does not meet the standard, it is determined that the test fails, and at the same time, it is pointed out in the result which specific chamber has a problem and the form of the problem, such as insufficient vacuum degree, excessive fluctuation, etc.

[0027] Further, step S100 further includes step S110, establishing a differential pressure model based on the comparison of the pressure values of adjacent chambers in the multi-layer chamber through staged air extraction during the vacuum treatment process; step S120, calculating the correlation coefficient of the adjacent chambers according to the differential pressure model, and determining whether to trigger a leakage alarm in combination with the correlation coefficient and the differential pressure model; step S130, if the leakage alarm is not triggered, analyzing whether the attenuation rate of the adjacent chambers meets the attenuation rate standard of the preset continuous data points to obtain an analysis result; step S140, if the analysis result is satisfied, obtaining the vacuum treatment test pass result.

[0028] Preferably, the vacuum treatment process is carried out in multiple stages for air extraction. For example, first, a chamber is pumped to a relatively low vacuum degree and maintained for a period of time to make the gas distribution in the chamber stable, and then it is continuously pumped to the next higher vacuum degree level, and then the next chamber is pumped, and so on until each chamber reaches the final required vacuum degree, ensuring more precise control of the change of vacuum degree, avoiding abnormalities in the chamber caused by too fast air extraction, etc., and at the same time, it is also beneficial to more accurately detect the sealing performance of the chamber, etc.; during the staged air extraction process, the pressure values of adjacent chambers in the multi-layer chamber are monitored in real time, and a differential pressure model is established based on the comparison of the pressure values of adjacent chambers in the multi-layer chamber, that is, a mathematical model established based on the pressure difference between adjacent chambers. Specifically, for adjacent chambers A and B, the pressure values at different times are respectively recorded and , and then their pressure difference is calculated. By analyzing the change of the pressure difference during different stages of air extraction, the relationship between the pressure difference and factors such as air extraction time and air extraction rate is found, so as to establish a differential pressure model describing the change law of the pressure difference between adjacent chambers.

[0029] Preferably, according to the established differential pressure model, a mathematical method is used to calculate the correlation coefficient of the pressure change between adjacent chambers. The correlation coefficient is an index used to measure the degree of linear correlation between two variables, that is, the degree of association between the pressure changes of adjacent chambers. For example, a correlation coefficient with a value between -1 and 1 is calculated. If the correlation coefficient is close to 1, it indicates that the pressure change trends of adjacent chambers are very similar, that is, the seal is good and there is no obvious gas leakage. If the correlation coefficient deviates significantly from 1, it indicates that the pressure change trends are quite different and there may be a leakage situation. The calculated correlation coefficient is combined with the differential pressure model for analysis. Specifically, according to the differential pressure model, the theoretical value ranges of the pressure difference and the correlation coefficient between adjacent chambers under normal conditions (no leakage) are predicted. Then, the actually calculated correlation coefficient and pressure difference are compared with the theoretical values. If the actual values exceed the reasonable range of the theoretical values and this deviation reaches a pre-set alarm threshold, it is determined that a leakage alarm is triggered, indicating that there may be a chamber leakage problem.

[0030] Preferably, if no leakage alarm is triggered, indicating no obvious leakage signs, the decay rate of the pressure in adjacent chambers is further analyzed. The decay rate refers to the rate at which the chamber pressure decreases over time during the vacuum holding stage or a specific time period. For adjacent chambers, their decay rates are calculated separately. The preset decay rate standard for consecutive data points is set according to the design requirements of the multi-layer chamber, material structure characteristics, and actual use environment, etc. For example, it is stipulated that within 10 consecutive data points (each data point is separated by a certain time interval, such as 1 minute), the pressure decay rates of adjacent chambers should be within 5%. Then, the actually calculated decay rates of adjacent chambers are compared with this preset standard to determine whether the requirements are met. If all the decay rates within the consecutive data points are within the preset range, it is considered that the decay rate standard is met. If the decay rate of any one data point exceeds the range, it is considered that the standard is not met, thus obtaining the analysis result. If the analysis result meets the requirements (that is, the decay rates of adjacent chambers meet the preset decay rate standard for consecutive data points), it indicates that during the vacuum treatment process of the multi-layer chamber, not only is there no obvious leakage situation (judged by no leakage alarm being triggered), but also the pressure change trend of the chamber conforms to the expected standard, indicating that the sealing performance and overall stability of the chamber are relatively good, and thus it is determined that the vacuum treatment test passes, obtaining the result that the vacuum treatment test passes.

[0031] Further, step S110 further includes step S111 of determining the pressure levels and pressure thresholds for staged pumping; step S112 of performing staged pressure reduction with the pressure levels and pressure thresholds in combination with the staged pressure holding time until the pressure of the multi-layer chamber reaches the preset pressure level.

[0032] Preferably, the pressure stage refers to the number of pumping stages divided during the process of reducing the pressure of multiple chambers from the initial pressure to the target pressure. For example, when pumping the chamber pressure from atmospheric pressure (about 101 kPa) to vacuum, this process may be divided into 5 stages according to factors such as the characteristics of the chamber and process requirements. The pressure stage is 5, and each stage has a specific pressure target and change range, that is, for each pressure stage, there is a corresponding start pressure and end pressure, forming a pressure threshold. For example, in the above-mentioned 5-stage pumping process, the first stage may be from 101 kPa to 80 kPa. Then 101 kPa is the starting pressure threshold of this stage, and 50 kPa is the end pressure threshold, ensuring that the pumping process is both efficient and safe, without causing damage to the chamber, and at the same time meeting the requirements of the subsequent process for the degree of vacuum.

[0033] Preferably, the stage holding pressure time refers to the time required to keep the pressure stable after each pumping stage reaches the corresponding pressure threshold, ensuring that there is enough time for the gas in the chamber to be evenly distributed, so that the pressure in each part of the chamber reaches an equilibrium state, and avoiding abnormalities in the subsequent pumping process due to uneven pressure. Specifically, according to the determined pressure stage and pressure threshold, as well as the corresponding stage holding pressure time, the pumping and pressure reduction operations are carried out step by step. Starting from the initial pressure, the pressure is first reduced to within the first pressure threshold range, and after reaching it, the pressure is held; after the pressure holding ends, the pressure is then reduced to the next pressure threshold range, and the pressure is held in the same way, and so on in turn until the pressure of the multiple chambers reaches the preset pressure level, making the vacuum treatment of the multiple chambers more stable, safe and effective.

[0034] Further, step S120 further includes step S121 of obtaining an alarm condition, where the alarm condition is that the correlation coefficient of the adjacent chambers is less than a preset correlation coefficient and the differential pressure of the adjacent chambers is greater than a preset differential pressure; step S122 of determining whether the correlation coefficient and differential pressure of the adjacent chambers meet the alarm condition to obtain a determination result; step S123 of triggering a leakage alarm if the determination result meets the satisfaction result.

[0035] Preferably, the preset correlation coefficient is a reference value preset according to the design characteristics of the multi-layer chamber, the law of pressure change during normal operation, etc. The preset differential pressure is a reference standard for the pressure difference set according to the normal working pressure range of the chamber, the sealing performance requirements, etc. The alarm condition is set as when the actual correlation coefficient of adjacent chambers is less than the preset correlation coefficient and the actual differential pressure of adjacent chambers is greater than the preset differential pressure. When both conditions are met, it indicates that the pressure change trend is quite different (the pressure difference exceeds the normal range), and it is considered that there is a leak. The pressure values of adjacent chambers are monitored in real time, and the corresponding correlation coefficient and differential pressure are calculated, and then the calculated correlation coefficient and differential pressure are compared with the preset alarm conditions (preset correlation coefficient and preset differential pressure) to obtain a determination result, including meeting the alarm condition or not meeting the alarm condition. If the determination result shows that the alarm condition is met, that is, the correlation coefficient of adjacent chambers is less than the preset correlation coefficient and the differential pressure is greater than the preset differential pressure, it indicates that gas leakage is very likely to occur between the multi-chambers, and the leak alarm is immediately triggered, such as issuing a sound alarm, displaying an alarm message on the display screen, etc., to timely remind the staff to take corresponding measures, such as further inspecting and repairing the chamber.

[0036] Step S200, perform a functional test on the mixing channel of the multi-layer chamber according to the vacuum treatment test pass result, and obtain the functional test pass result of the mixing channel.

[0037] Preferably, a functional test on the mixing channel of the multi-layer chamber is performed according to the vacuum treatment test pass result, that is, when the vacuum degree of each multi-layer chamber reaches the expected standard and is stable (the vacuum treatment test passes, the vacuum degree remains stable and there is no leakage), the functional test on the mixing channel is carried out to ensure the accuracy of the test results. Among them, the mixing channel is a key structure connecting different chambers in the layered packaging bottle, which is used to realize the mixing or separation of substances between different chambers. The purpose of the functional test on the mixing channel is to verify the normal working ability of the mixing channel in the sealed state and ensure that it can achieve the transmission or mixing of substances according to the design requirements.

[0038] Preferably, first, check the physical state of the mixing channel to ensure that there are no impurities or blockages inside the channel and the channel wall is smooth. Second, confirm that the connection parts between the mixing channel and each multi-layer chamber are well sealed to prevent material leakage during the detection process. Then, calibrate and debug various devices such as valves, pumps, and sensors on the mixing channel to ensure their normal operation. Then, according to the actual usage situation, select a suitable simulation substance, and its physical and chemical properties (such as viscosity, density, fluidity, etc.) should be as similar as possible to the substances mixed in the layered packaging bottle during actual production. By controlling the opening and closing of valves and the operation of pumps, the simulation substances in different chambers are transported to the mixing channel in a set ratio and order. During the transportation process, precisely control the flow rate and pressure of the substances to ensure that the substances can enter the mixing channel stably and evenly. Start the mixing device to fully mix the simulation substances entering the mixing channel within a specified time, such as stirring, turbulent mixing, static mixing, etc. Use various sensors installed on the mixing channel to monitor the key parameters during the mixing process. For example, use a temperature sensor to monitor the temperature change during the mixing process to judge whether there is abnormal temperature caused by chemical reactions or friction, etc.; use a pressure sensor to monitor the pressure change inside the channel to ensure that the pressure is within a safe and normal range to avoid the influence of too high or too low pressure on the mixing effect or equipment damage; use a concentration sensor or a composition analyzer to monitor the composition and concentration distribution of the substances after mixing to evaluate the uniformity and accuracy of the mixing.

[0039] Preferably, according to the design requirements of the layered packaging bottle, product quality standards, and the needs of the actual production process, formulate specific and clear functional detection and judgment criteria for the mixing channel, including but not limited to the concentration uniformity, temperature range, pressure fluctuation range, mixing time, etc. of the substances after mixing. For different parameters, set corresponding qualified thresholds. For example, it is stipulated that the concentration uniformity of the substances after mixing should reach more than 95%, the temperature change range should be within ±5°C, the pressure fluctuation should not exceed ±0.1 MPa, and the mixing time should be between 30 seconds and 60 seconds. Finally, compare the key parameter data obtained from the actual detection with the judgment criteria one by one. If all parameters are within the specified qualified range, it indicates that the mixing channel can normally and effectively achieve its expected function, and it is judged that the functional detection of the mixing channel passes. Furthermore, generate the result of the functional detection of the mixing channel, including all key parameter data recorded during the detection process, parameter change curves, comparison with the judgment criteria, and the final judgment conclusion and other information.

[0040] Further, step S200 further includes step S210 of disposing a strain gauge in the mixing channel of the multi-layer chamber for monitoring the stress of the knob opening and closing; step S220 of recording the three-dimensional relationship curve of torque-rotation angle-pressure when the knob is opened to obtain the sealing performance traceability coefficient; step S230 of performing fluid visualization verification on the mixing channel based on quantitative evaluation indicators. If the verification is passed, the result of passing the functional detection of the mixing channel is obtained, where the quantitative evaluation indicators include leakage rate, diffusion uniformity, and interface clarity.

[0041] Preferably, a strain gauge is disposed in the mixing channel of the multi-layer chamber to monitor the stress generated during the opening and closing of the knob. Among them, the strain gauge is a sensor that can convert the strain on a mechanical component (i.e., the shape or size change generated when an object is stressed) into an electrical signal. When the knob is operated to open and close, it will apply a force to the relevant components of the mixing channel, causing the components to generate strain. The strain gauge can capture the strain information and convert it into an electrical signal. By analyzing the data measured by the strain gauge, it is possible to understand the stress conditions of each part of the mixing channel when the knob is opened and closed, and judge whether the stress is within a reasonable range and whether it may cause damage to the components or a decrease in sealing performance, etc.; record the torque, rotation angle, and pressure when the knob is opened and draw a three-dimensional relationship curve to intuitively reflect the mutual influence and change law among torque, rotation angle, and pressure during the opening process of the knob. Among them, torque is the force that causes an object to rotate (i.e., the rotational force applied when opening the knob), the rotation angle is the angle of rotation of the knob, and the pressure is the fluid pressure in the mixing channel; according to the recorded three-dimensional relationship curve of torque-rotation angle-pressure, by analyzing the change trend of the curve in different stages, it is possible to judge the change of the sealing performance during the opening process of the knob, and then obtain a coefficient that can represent the sealing performance (i.e., the sealing performance traceability coefficient) for subsequent evaluation and traceability of the sealing performance of the multi-layer chamber to understand the sealing performance under different conditions.

[0042] Preferably, the quantitative evaluation indicators include leakage rate, diffusion uniformity, and interface clarity. Specifically, the leakage rate refers to the speed at which the fluid in the mixing channel leaks to the outside or other chambers through the seal. In the fluid visualization verification of the mixing channel, a flow sensor or tracer gas is used to measure the amount of fluid leaked per unit time. If the leakage rate exceeds the specified standard value, it indicates that there is a leak in the mixing channel; the diffusion uniformity is used to measure the degree of uniformity of different fluids in the mixing process in the mixing channel. In the fluid visualization verification, by adding a tracer or using techniques such as optical imaging, the diffusion of the fluid in the mixing channel is observed, and then by analyzing the image or measuring the fluid component concentration at different positions, etc., the diffusion uniformity index is calculated. If the diffusion uniformity is poor, it means that the fluid cannot be fully and evenly mixed in the mixing channel, which may lead to an unsatisfactory mixing effect; the interface clarity refers to the clarity of the interface between different fluids or phases. For example, in a channel where gas and liquid are mixed or two different liquids are mixed, a clear interface indicates a low degree of mixing between the two fluids, and there may be insufficient mixing or unstable flow state, etc. By observing the shape and clarity of the interface optically and performing a quantitative evaluation, the interface clarity can be obtained; if the verification passes, it means that these indicators all meet the pre-set standards, that is, the mixing channel performs well in functions such as fluid mixing and can work normally, and then the result of passing the functional detection of the mixing channel is obtained.

[0043] Further, step S220 further includes step S221, drawing a visualized friction characteristic according to the torque-rotation angle relationship curve and performing a first seal quality analysis to obtain a first seal performance traceability coefficient; step S222, identifying the seal failure critical point through the rotation angle-pressure relationship curve and determining the second seal effectiveness analysis to obtain a second seal performance traceability coefficient; step S223, performing an energy dissipation analysis with the three-dimensional relationship curve and performing a third seal wear analysis to obtain a third seal performance traceability coefficient; step S224, calculating the mean value of the first seal performance traceability coefficient, the second seal performance traceability coefficient, and the third seal performance traceability coefficient to obtain the seal performance traceability coefficient.

[0044] Preferably, the torque-rotation angle relationship curve reflects the change of torque with the rotation angle during the rotation operation. Through the analysis and processing of this curve, it is transformed into a visual friction characteristic image. For example, the slope of the curve may represent the change trend of the frictional force, and the peak value of the curve may correspond to the maximum static frictional force, etc. Furthermore, the change of the friction characteristics at different rotation angles is obtained. Then, based on the drawn visual friction characteristics and combined with the sealing structure, the sealing quality is analyzed. Specifically, it is observed whether there are abnormal fluctuations in the friction characteristic curve. If so, it may mean that there are problems such as wear and impurities on the sealing surface affecting the sealing quality. Then, key information representing the sealing quality is extracted from the friction characteristics, and then the first sealing performance traceability coefficient is calculated for tracing and comparing the sealing performance under different conditions.

[0045] Preferably, the rotation angle-pressure relationship curve shows the change of the pressure in the sealing chamber with the change of the rotation angle of the knob. When there is a problem with the seal and it is about to fail, the change of the pressure may be abnormal, such as a sudden drop in pressure or a significant change in the rising rate, etc. By analyzing the rotation angle-pressure relationship curve, the point where the pressure change is significantly abnormal, that is, the seal failure critical point, is found, which marks that the seal is about to lose its due function. Then, further analysis is carried out on the rotation angle-pressure relationship curve and the pressure conditions of the seal at different rotation angles to judge the effectiveness of the seal at each stage. For example, according to the shape of the curve and the pressure change range, it is evaluated whether the seal can effectively maintain the pressure and prevent leakage under different working conditions, so as to obtain a quantitative index reflecting the seal effectiveness, that is, the second sealing performance traceability coefficient, for evaluating the performance of the seal under different working conditions.

[0046] Preferably, the energy dissipation analysis is carried out with a three-dimensional relationship curve. Specifically, the product of torque and rotation angle can reflect the work done during the rotation operation, and the change of pressure is related to the energy change in the system. By analyzing the three-dimensional relationship curve, the energy dissipation situation of the system at different stages can be calculated. For example, when the seal is working normally, the energy dissipation is relatively stable; while when there are problems such as wear of the seal, the energy dissipation may increase due to reasons such as an increase in the frictional force. Furthermore, characteristic parameters of the energy dissipation are extracted for evaluating the working state of the seal system. Then, combined with the results of the energy dissipation analysis and the understanding of the seal structure and materials, the wear situation of the seal is analyzed, that is, by establishing a relationship model between the energy dissipation and the seal wear, the wear degree of the seal is judged. Then, according to the results of the wear analysis, the third sealing performance traceability coefficient is calculated to reflect the performance change trend of the seal during long-term use. Finally, the mean value of the first sealing performance traceability coefficient, the second sealing performance traceability coefficient, and the third sealing performance traceability coefficient is calculated to obtain the sealing performance traceability coefficient, which more comprehensively and objectively reflects the overall performance of the seal.

[0047] Step S300: Based on the passing result of the hybrid channel functionality detection, evaluate the sealing integrity of the multi-layer chamber to generate a passing result for the sealing integrity detection.

[0048] Preferably, if the hybrid channel functionality detection passes, it indicates that the functions of each chamber for material transportation and mixing through the hybrid channel are normal, there are no problems such as blockage or leakage in the channel itself, and the relevant equipment and parameters meet the requirements. Then, further evaluate the sealing integrity of the multi-layer chamber. Specifically, prepare a transparent water tank or basin that can accommodate the multi-layer chamber, ensure that the size of the water tank or basin is sufficient to completely immerse the multi-layer chamber to be detected. At the same time, prepare an inflation device for filling gas into the multi-layer chamber, such as an air pump, and an auxiliary tool for observing bubbles, such as a magnifying glass. Then, through a specific inflation port, fill the multi-layer chamber with gas. Usually, the gas filled is air or an inert gas such as nitrogen. Slowly place the gas-filled multi-layer chamber into the water-filled water tank or basin, ensure that the chamber is completely immersed in water, and avoid the chamber from being collided or squeezed. Then, carefully observe the surface of the multi-layer chamber, especially the sealing joints between layers, pipe interfaces, valves and other parts. If there is an incomplete seal in the chamber, the gas will escape from the leakage point and form bubbles in the water. Pay attention to the position, quantity and size of the bubbles during observation. Minor leaks may produce a small number of fine bubbles, while larger leaks will produce a large number of relatively large bubbles. If no bubbles are observed within the specified observation time (such as 5 minutes to 10 minutes), it indicates that the sealing integrity of the multi-layer chamber is good and there are basically no leakage problems, and then generate a passing result for the sealing integrity detection.

[0049] Furthermore, step S300 further includes step S310: Perform leakage detection by the bubble method to obtain the leakage rate level; step S320: Based on the leakage rate level, locate the leakage position and repair the leakage at the obtained leakage position until the preset re-inspection conditions for repair are met, and generate the passing result for the sealing integrity detection.

[0050] Preferably, the severity of the leak is evaluated based on the observed bubble generation, that is, the leak rate level is obtained. For example, the leak situation is divided into three levels: slight, moderate, and severe. Specifically, slight leakage may be manifested as a small number of tiny bubbles appearing every once in a while (such as every few minutes), corresponding to a lower leak rate level; in the case of moderate leakage, bubbles are generated more frequently, perhaps several bubbles per minute, corresponding to a medium leak rate level; severe leakage is manifested as a large number of bubbles gushing out rapidly, corresponding to a higher leak rate level. Then, the leak location is determined by observing the source of the bubbles. For parts that are difficult to directly observe, it may be necessary to adjust the position or angle of the chamber in the water, or use special detection equipment, such as an underwater camera, to more clearly determine the leak location. Then, according to the leak location and the leak rate level, corresponding repair measures are taken. For slight leakage, if the sealant at the sealed connection is aged or there are small gaps causing the leakage, it may only be necessary to reapply the sealant for repair; for moderate leakage, if it is found that the sealing gasket at the pipe interface is damaged, a new sealing gasket may need to be replaced and reinstalled and debugged; for severe leakage, if there are cracks or other problems in the chamber wall, more complex processes may be required for repair.

[0051] Preferably, the preset re-inspection conditions after repair are formulated according to the design requirements of the multi-layer chamber, usually including requirements for the leak rate. For example, after repair, when detecting again by the bubble method, the leak rate must be reduced to below a certain specific level, perhaps reaching the slight leakage level or being completely leak-free. After completing the leak repair, it is necessary to detect the multi-layer chamber again (by the bubble method). If the detection result shows that the preset re-inspection conditions after repair are met, that is, the leak rate meets the requirements, it is determined that the seal integrity detection passes, and a seal integrity detection pass result is generated, indicating that after the multi-layer chamber is repaired, its sealing performance has been restored to an acceptable level and can meet the subsequent usage requirements. If the re-inspection result does not meet the preset conditions, it is necessary to re-check the leak location, analyze the reasons, and perform repair again until the conditions are met.

[0052] Further, step S320 further includes step S321 of obtaining the initial state of the multi-layer chamber in the layered packaging bottle; step S322 of arranging scanning reference points for the multi-layer chamber and establishing a scanning coordinate system; step S323 of dividing the multi-layer chamber according to the scanning coordinate system to obtain a primary area, a secondary area, and a tertiary area; step S324 of performing point cloud registration on the overlapping area coordinates of the primary area, secondary area, and tertiary area, and planning a scanning path based on the registered point cloud to obtain a scanning path; step S325 of comparing the repair scanning state of the scanning path with the initial state, and quantifying the obtained state deviation to obtain a state deviation value; step S326 of performing error compensation on the state deviation value.

[0053] Preferably, a high-precision measuring instrument (such as a coordinate measuring machine) is used to actually measure the multi-layer chambers in the layered packaging bottle to obtain the initial state, including information such as the geometric shape, size, relative position relationship between layers, and internal structure characteristics of the multi-layer chambers; then scanning reference points (key parts of the chambers, such as edges, corners, and places with obvious features, etc.) are arranged in the multi-layer chambers to accurately scan and measure the multi-layer chambers, and then based on the arranged scanning reference points, a scanning coordinate system is established. Specifically, an origin (for example, a specific vertex of the chamber) is selected, and the directions of the coordinate axes (such as the directions of the X, Y, and Z axes) are determined to map the scanned data into the scanning coordinate space, so that the scanned data at different positions can be accurately compared and combined; then based on the scanning coordinate system, according to the functions, structural characteristics, importance, etc. of the chambers, the multi-layer chambers are spatially divided into different levels of regions, namely primary regions, secondary regions, and tertiary regions. For example, for some key functional regions or parts with complex structures, they can be divided into primary regions; for relatively less important or simpler-structured parts, they can be divided into secondary or tertiary regions; through region division, different regions can be scanned and analyzed in a targeted manner, improving the efficiency and accuracy of scanning, and at the same time facilitating the evaluation of the detection results of different regions.

[0054] Preferably, point cloud registration is performed on the overlapping region coordinates of the primary regions, secondary regions, and tertiary regions, that is, the point cloud data obtained at different positions or at different times are aligned and fused. For example, the iterative closest point algorithm is used to match and adjust the point cloud data of the overlapping regions so that they can accurately correspond under the scanning coordinate system, avoiding data inconsistency or errors during the scanning and analysis process; based on the registered point cloud data, considering the efficiency, accuracy, and coverage of scanning, etc., the scanning path is planned. For example, for the tertiary regions, due to their high importance, a denser scanning path may be planned to obtain more detailed information; for the secondary and primary regions, the density of the scanning path can be appropriately reduced according to the actual situation; at the same time, the scanning path planning should also consider the movement ability and limitations of the scanning device to ensure that the scanning device can perform scanning operations according to the planned path. Through reasonable scanning path planning, the quality and efficiency of scanning can be improved, and comprehensive and accurate scanning data can be obtained.

[0055] Preferably, after completing the planning of the scanning path and performing the scanning operation, the rework scanning status of the scanning path is obtained. The rework scanning status is compared with the initial status, and the status difference between the two is analyzed and quantified to obtain a status deviation value, which reflects the changes that occur in the chamber during the rework process or after a period of use compared with the initial status, such as shape deformation, dimensional deviation, position movement, etc.; then, according to the obtained status deviation value, corresponding measures are taken for error compensation, including selecting different error compensation methods according to the specific deviation situation and the characteristics of the chamber. For example, if it is a dimensional deviation, the dimensions can be corrected by adjusting the processing technology or repair means; if it is a shape deformation, methods such as correction or repair can be used to restore the shape; thereby making the actual status of the chamber as close as possible to the initial status, effectively reducing the impact of errors on the chamber performance, and thus improving the quality and sealing performance of the chamber.

[0056] Further, step S323 further includes automatically correcting the region boundary according to the real-time scanning data feedback of the primary region, secondary region, and tertiary region, wherein the scanning density of the primary region is less than or equal to the scanning density of the secondary region, and the scanning density of the secondary region is less than or equal to the scanning density of the tertiary region.

[0057] Preferably, the primary region may be a part with relatively simple structure in the multi-layer packaging bottle, and its scanning density is set relatively low, indicating that the number of scanning data points obtained per unit area or unit volume is relatively small; the importance or structural complexity of the secondary region may be between the primary and tertiary regions, and its scanning density is greater than or equal to that of the primary region, that is, the number of scanning data points per unit area is more than that of the primary region, and data points are obtained more densely than the primary region during scanning; the tertiary region is usually the most critical or structurally complex part of the multi-layer packaging bottle and requires the highest scanning density to obtain as much scanning data as possible. For example, the chamber part in the packaging bottle that is in direct contact with the medicine and plays an important role in the preservation of the medicine is divided into the tertiary region, and data points are obtained at a very high frequency during scanning, so that the details of this region can be displayed more clearly; then, the region boundary is automatically corrected according to the real-time scanning data of the three regions, that is, if it is found that the actual characteristics of a certain region are more similar to those of the adjacent region, or there is a transition region that was not originally considered, etc., the region boundary will be adjusted. For example, if it is found that a certain part of the structure in the secondary region shows more similar structural characteristics to the tertiary region in the scanning data, then this part may be adjusted from the secondary region to the tertiary region, thereby realizing the automatic correction of the region boundary, and then more efficiently and accurately scanning and analyzing the multi-layer chambers of the multi-layer packaging bottle, and improving the accuracy of the sealing performance evaluation.

[0058] Step S400, perform protective packaging on the multi-layer packaging bottle with the result of passing the seal integrity detection.

[0059] Preferably, the layered packaging bottle is subjected to protective packaging according to the result of the seal integrity detection. The protective packaging is to protect the layered packaging bottle from the influence of the external environment (such as physical impact, temperature change, humidity, pollutants, etc.) during transportation, storage and use, and ensure that its sealing performance and functionality are not damaged. It may include wrapping buffer materials (such as foam, bubble film, paper scraps, etc.) outside the layered packaging bottle to reduce physical impact and vibration during transportation; adding moisture-proof agents or using moisture-proof materials in the packaging to prevent the influence of moisture on the layered packaging bottle; using sealed outer packaging (such as plastic bags, shrink films, etc.) to prevent dust and pollutants from entering the interior of the packaging. Thus, the sealing performance and multi-channel function of the layered packaging bottle are ensured.

[0060] In the above, reference is made to Figure 1 The seal performance detection method of the layered packaging bottle according to the embodiment of the present invention is described in detail. Next, reference will be made to Figure 2 Describe the seal performance detection system of the layered packaging bottle according to the embodiment of the present invention.

[0061] The seal performance detection system of the layered packaging bottle according to the embodiment of the present invention is used to solve the technical problems existing in the prior art, such as being difficult to cope with the complex structure of multiple chambers, unable to comprehensively evaluate the seal state of each chamber and the functionality of the mixing channels, which leads to insufficient accuracy of the seal performance detection. It achieves the technical effect of improving the accuracy of the seal performance detection of the layered packaging bottle. As Figure 2 shown, the seal performance detection system of the layered packaging bottle includes: a vacuum treatment detection module 10, a mixing channel functionality detection module 20, a seal integrity evaluation module 30, and a protective packaging module 40.

[0062] The vacuum treatment detection module 10 is used to perform multi-probe synchronous vacuum treatment on multiple chambers, monitor the vacuum degree during the vacuum treatment process, and obtain the result of passing the vacuum treatment detection; the mixing channel functionality detection module 20 is used to perform mixing channel functionality detection on the multiple chambers according to the result of passing the vacuum treatment detection, and obtain the result of passing the mixing channel functionality detection; the seal integrity evaluation module 30 is used to perform seal integrity evaluation on the multiple chambers based on the result of passing the mixing channel functionality detection, and generate the result of passing the seal integrity detection; the protective packaging module 40 is used to perform protective packaging on the layered packaging bottle with the result of passing the seal integrity detection.

[0063] Next, the specific configuration of the vacuum processing detection module 10 will be described in detail. The vacuum processing detection module 10 further includes: through staged pumping during the vacuum processing, establishing a differential pressure model based on the comparison of the pressure values of adjacent chambers in the multi-layer chamber; calculating the correlation coefficient of the adjacent chambers according to the differential pressure model, and determining whether to trigger a leakage alarm by combining the correlation coefficient and the differential pressure model; if the leakage alarm is not triggered, analyzing whether the decay rate of the adjacent chambers meets the decay rate standard of the preset continuous data points to obtain an analysis result; if the analysis result is satisfied, obtaining the vacuum processing detection pass result.

[0064] Next, the specific configuration of the vacuum processing detection module 10 will be further described in detail. The vacuum processing detection module 10 further includes: determining the pressure levels and pressure thresholds of the staged pumping; performing staged pressure reduction in combination with the stage holding time based on the pressure levels and pressure thresholds until the pressure of the multi-layer chamber reaches the preset pressure level.

[0065] Next, the specific configuration of the vacuum processing detection module 10 will be further described in detail. The vacuum processing detection module 10 further includes: obtaining an alarm condition, where the alarm condition is that the correlation coefficient of the adjacent chambers is less than the preset correlation coefficient and the differential pressure of the adjacent chambers is greater than the preset differential pressure; determining whether the correlation coefficient and differential pressure of the adjacent chambers meet the alarm condition to obtain a determination result; if the determination result meets the satisfaction result, triggering a leakage alarm.

[0066] Next, the specific configuration of the hybrid channel functionality detection module 20 will be described in detail. The hybrid channel functionality detection module 20 further includes: arranging strain gauges in the hybrid channel of the multi-layer chamber for monitoring the stress of the knob opening and closing; opening the knob to record the three-dimensional relationship curve of torque-rotation angle-pressure to obtain the sealing performance traceability coefficient; performing fluid visualization verification in the hybrid channel based on quantitative evaluation indicators, and if the verification passes, obtaining the hybrid channel functionality detection pass result, where the quantitative evaluation indicators include leakage rate, diffusion uniformity, and interface clarity.

[0067] Next, the specific configuration of the hybrid channel functionality detection module 20 will be described in detail. The hybrid channel functionality detection module 20 further includes: drawing a visual friction characteristic according to the torque-rotation angle relationship curve and performing the first sealing quality analysis to obtain the first sealing performance traceability coefficient; identifying the sealing failure critical point through the rotation angle-pressure relationship curve and determining the second sealing effectiveness analysis to obtain the second sealing performance traceability coefficient; performing energy dissipation analysis with the three-dimensional relationship curve and performing the third sealing wear analysis to obtain the third sealing performance traceability coefficient; calculating the mean value of the first sealing performance traceability coefficient, the second sealing performance traceability coefficient, and the third sealing performance traceability coefficient to obtain the sealing performance traceability coefficient.

[0068] Next, the specific configuration of the seal integrity evaluation module 30 will be described in detail. The seal integrity evaluation module 30 further includes: detecting leakage by the bubble method to obtain a leakage rate level; performing leakage repair on the obtained leakage location based on the leakage rate level until a preset re-inspection condition for repair is met, and generating the result of passing the seal integrity detection.

[0069] Next, the specific configuration of the seal integrity evaluation module 30 will be further described in detail. The seal integrity evaluation module 30 further includes: obtaining the initial state of the multiple chambers in the layered packaging bottle; arranging scanning reference points for the multiple chambers to establish a scanning coordinate system; dividing the multiple chambers according to the scanning coordinate system to obtain a first-level area, a second-level area, and a third-level area; performing point cloud registration on the overlapping area coordinates of the first-level area, the second-level area, and the third-level area, and planning a scanning path based on the registered point cloud to obtain a scanning path; comparing the repair scanning state of the scanning path with the initial state, quantifying the obtained state deviation to obtain a state deviation value; and compensating for the state deviation value.

[0070] Next, the specific configuration of the seal integrity evaluation module 30 will be further described in detail. The seal integrity evaluation module 30 further includes: automatically correcting the regional boundary according to the real-time scanning data feedback of the first-level area, the second-level area, and the third-level area, where the scanning density of the first-level area is less than or equal to the scanning density of the second-level area, and the scanning density of the second-level area is less than or equal to the scanning density of the third-level area.

[0071] The seal performance detection system of the layered packaging bottle provided by the embodiments of the present invention can execute the seal performance detection method of the layered packaging bottle provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

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

[0073] The above specific embodiments do not constitute a limitation to the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to the design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of the present application shall be included within the protection scope of the present application.

Claims

1. A method for testing the sealing performance of layered packaging bottles, characterized in that: include: Perform multi-probe synchronous vacuum treatment on multi-layer chambers, monitor the vacuum degree during the vacuum treatment process, and obtain the vacuum treatment test pass results; Performing a mixing channel functionality test on the multi-layer chamber according to the vacuum processing test passing result to obtain a mixing channel functionality test passing result; Based on the mixed channel functional test passing result, performing a sealing integrity assessment on the multi-layer chamber, and generating a sealing integrity test passing result; The protective packaging of the layered packaging bottles is carried out with the seal integrity test passing result.

2. The method for testing the sealing performance of a layered packaging bottle according to claim 1, characterized in that: Get vacuum process inspection pass results, including: By performing a staged exhaust process during the vacuum process, a differential pressure model is established based on the pressure value comparison of adjacent chambers in the multi-layer chamber; Calculating the correlation coefficient of the adjacent chambers according to the differential pressure model, and determining whether to trigger a leakage alarm by combining the correlation coefficient and the differential pressure model; If the leakage alarm is not triggered, analyzing whether the decay rate of the adjacent chamber meets the decay rate standard of the preset continuous data points, and obtaining the analysis result; If the analysis result is satisfactory, the vacuum processing test pass result is obtained.

3. The method for testing the sealing performance of a layered packaging bottle according to claim 2, characterized in that: Through the staged exhaust treatment during the vacuum treatment process, including: Determine the pressure level and pressure threshold of staged air extraction; The pressure level and pressure threshold are combined with the stage pressure holding time to perform pressure reduction in stages until the pressure of the multi-layer chamber reaches a preset pressure level.

4. The method for testing the sealing performance of a layered packaging bottle according to claim 2, characterized in that: Combining the correlation coefficient with the differential pressure model to determine whether to trigger a leakage alarm includes: Acquiring an alarm condition, wherein the alarm condition is that a correlation coefficient of the adjacent chambers is less than a preset correlation coefficient and a differential pressure of the adjacent chambers is greater than a preset differential pressure; Determine whether the correlation coefficient and the differential pressure of the adjacent chambers meet the alarm condition, and obtain a determination result; If the determination result meets the satisfying result, a leakage alarm is triggered.

5. The method for testing the sealing performance of a layered packaging bottle according to claim 1, characterized in that: Obtain hybrid channel functional test pass results, including: A strain gauge is provided in the mixing channel of the multi-layer chamber to monitor the opening and closing stress of the knob; Turn the knob to record the three-dimensional relationship curve of torque-angle-pressure to obtain the sealing performance traceability coefficient; Perform fluid visualization verification in the mixing channel based on quantitative evaluation indicators. If the verification passes, obtain the functional test result of the mixing channel, wherein the quantitative evaluation indicators include leakage rate, diffusion uniformity and interface clarity.

6. The method for testing the sealing performance of a layered packaging bottle according to claim 5, characterized in that: Get seal performance traceability factors, including: Draw a visual friction characteristic based on the torque-angle relationship curve, and perform a first seal quality analysis to obtain the first seal performance traceability coefficient; The seal failure critical point is identified through the rotation angle-pressure relationship curve, and the second seal effectiveness analysis is determined to obtain the second seal performance traceability coefficient; Performing energy dissipation analysis using the three-dimensional relationship curve, and performing third seal wear analysis to obtain a third seal performance traceability coefficient; The first sealing performance traceability coefficient, the second sealing performance traceability coefficient and the third sealing performance traceability coefficient are averaged to obtain the sealing performance traceability coefficient.

7. The method for testing the sealing performance of a layered packaging bottle according to claim 1, characterized in that: Generates seal integrity test pass results including: Leak detection is performed by the bubble method to obtain the leak rate grade; The leak position obtained by locating the leak position based on the leak rate level is leak repaired until the preset repair and retest conditions are met, and the sealing integrity test pass result is generated.

8. The method for testing the sealing performance of a layered packaging bottle according to claim 7, characterized in that: The leak position obtained by locating the leak position based on the leak rate level is repaired, and then the following steps are included: Acquiring the initial state of the multi-layer chamber in the layered packaging bottle; Arranging scanning reference points for the multi-layer chamber and establishing a scanning coordinate system; Divide the multi-layer chamber according to the scanning coordinate system to obtain a primary area, a secondary area, and a tertiary area; Performing point cloud registration on the coordinates of the overlapping areas of the primary area, the secondary area, and the tertiary area, and performing scanning path planning based on the registered point cloud to obtain a scanning path; By comparing the repair scanning state of the scanning path with the initial state, the obtained state deviation is quantified to obtain a state deviation value; Error compensation is performed on the state deviation value.

9. The method for testing the sealing performance of a layered packaging bottle according to claim 8, characterized in that: The area boundaries are automatically corrected based on real-time scanning data feedback of the primary area, the secondary area and the tertiary area, wherein the scanning density of the primary area is less than or equal to the scanning density of the secondary area, and the scanning density of the secondary area is less than or equal to the scanning density of the tertiary area.

10. The sealing performance testing system for layered packaging bottles is characterized by: The system is used to implement the sealing performance detection method of the layered packaging bottle according to any one of claims 1 to 9, and the system comprises: The vacuum processing detection module is used to perform multi-probe synchronous vacuum processing on the multi-layer chamber, monitor the vacuum degree during the vacuum processing, and obtain the vacuum processing detection pass result; A mixing channel functionality detection module, used to perform a mixing channel functionality detection on the multi-layer chamber according to the vacuum processing detection pass result, and obtain a mixing channel functionality detection pass result; A sealing integrity evaluation module, configured to evaluate the sealing integrity of the multi-layer chamber based on the hybrid channel functional test pass result, and generate a sealing integrity test pass result; The protective packaging module is used for performing protective packaging of the layered packaging bottles according to the seal integrity detection passing result.

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