Aluminum bottle preparation method, device, medium and equipment

Abstract

The invention provides an aluminum bottle preparation method, device, medium and equipment, and relates to the field of aluminum bottle preparation.The aluminum bottle preparation method comprises the steps that a punch is used for punching an aluminum cake preset in the center position of the bottom in a concave aluminum bottle punching die, and a round blank is formed; collecting temperatures of different positions of the circular blank body according to the infrared sensor array to obtain a temperature matrix; stamping according to the adjusted stamping times to obtain a plurality of circular blanks, fixing each circular blank on a rotating main shaft, rotating at a high speed at a preset rotating speed, enabling at least one spinning wheel to be close to the circular blank in the radial direction, and applying local pressure to the part, to be necked, of the circular blank to obtain an aluminum bottle with a formed bottle opening; wherein the adjusted punching times are obtained according to the flow data list and the temperature matrix. Aluminum bottle defects and mold abrasion caused by the lubrication problem are reduced, and the product quality and the mold service life are guaranteed.

Description

Technical Field

[0001] The present application relates to the field of aluminum bottle preparation, and in particular to a method, device, medium and equipment for preparing aluminum bottles. Background Art

[0002] In the reverse deep drawing process, uniform lubrication is crucial for ensuring smooth stamping and product quality. Traditional lubrication application methods often rely on manual application or fixed spray nozzles. Manual application is limited by operator experience and proficiency, making it difficult to ensure uniform and consistent application. Fixed spray nozzles, however, cannot achieve full coverage of the mold base and inner walls due to the complex mold structure and the diverse sizes and specifications of aluminum bottles. Uneven lubrication can lead to a series of serious consequences. During the stamping process, friction between the aluminum pellet and the mold increases significantly in areas of insufficient lubrication, hindering flow and deformation. This can lead to defects such as localized wall thinning, surface scratches, and wrinkles, impacting the appearance and performance of the aluminum bottle. Furthermore, excessive friction can cause excessive stress in the mold, accelerating wear, reducing its service life, and increasing repair and replacement costs. Existing detection and adjustment technologies struggle to quickly and accurately identify the specific location and extent of uneven lubrication, making it difficult to implement effective corrective measures in a timely manner. This leads to increased scrap rates and reduced production efficiency, making it difficult to meet the high-quality and efficient production requirements of modern manufacturing. Summary of the Invention

[0003] In response to the above technical problems, the present application provides a method, device, medium and equipment for preparing aluminum bottles, which at least partially solve the problems existing in the prior art.

[0004] In a first aspect of the present application, a method for preparing an aluminum bottle is provided, the method comprising: S100, using a punch to punch an aluminum cake pre-placed at the center of the bottom of a concave aluminum bottle stamping die, so that the aluminum cake flows in the opposite direction from the annular gap between the punch and the concave aluminum bottle stamping die, and extends upward along the inner wall of the concave aluminum bottle stamping die to form a circular embryo; and collecting temperatures at different positions of the circular embryo according to an infrared sensor array to obtain a temperature matrix; wherein, before the aluminum cake is placed in the concave aluminum bottle stamping die, the inner bottom and inner wall of the concave aluminum bottle stamping die are sprayed with lubricating oil according to a rotatable fan-shaped nozzle; during the lubricating oil spraying process, a corresponding flow data list is generated; the flow data list is obtained by collecting flow data of the rotatable fan-shaped nozzle during the lubricating oil spraying process according to a preset collection frequency; and lubricating oil is sprayed once according to preset requirements for α times of stamping. S200, punching is performed according to the adjusted number of punching times to obtain a plurality of circular blanks, and each circular blank is fixed on a rotating spindle, rotated at a high speed at a preset speed, and at least one spinning wheel is radially approached to the circular blank, and local pressure is applied to the neck portion of the circular blank to be shrunk, so as to obtain an aluminum bottle with a formed bottle mouth; wherein the adjusted number of punching times is obtained according to the flow data list and the temperature matrix.

[0005] In a second aspect of the present application, there is provided an aluminum bottle preparation device, the device comprising: The punching unit is used to use a punch to punch an aluminum cake preset at the center of the bottom of a concave aluminum bottle stamping die, so that the aluminum cake flows in the opposite direction from the annular gap between the punch and the concave aluminum bottle stamping die, and extends upward along the inner wall of the concave aluminum bottle stamping die to form a circular embryo; and the temperature of different positions of the circular embryo is collected according to the infrared sensor array to obtain a temperature matrix; wherein, before the aluminum cake is placed in the concave aluminum bottle stamping die, the inner bottom and inner wall of the concave aluminum bottle stamping die are sprayed with lubricating oil according to a rotatable fan-shaped nozzle; during the lubricating oil spraying process, a corresponding flow data list is provided; the flow data list is obtained by collecting flow data of the rotatable fan-shaped nozzle during the lubricating oil spraying process according to a preset collection frequency; according to the preset requirements, the lubricating oil is sprayed once for α times of stamping; The forming unit is used to punch out a plurality of circular blanks according to the adjusted number of punching times, and each circular blank is fixed on a rotating spindle, rotated at a high speed at a preset speed, and at least one spinning wheel is radially approached to the circular blank to apply local pressure to the neck portion of the circular blank to be shrunk, so as to obtain an aluminum bottle with a formed bottle mouth; wherein the adjusted number of punching times is obtained according to a flow data list and a temperature matrix.

[0006] In a third aspect of the present application, a non-transitory computer-readable storage medium is provided, in which at least one instruction or at least one program is stored, and the at least one instruction or at least one program is loaded and executed by a processor to implement the aforementioned aluminum bottle preparation method.

[0007] In a fourth aspect of the present application, an electronic device is provided, comprising a processor and the above-mentioned non-transitory computer-readable storage medium.

[0008] This application has at least the following beneficial effects: The aluminum bottle preparation method provided in this application uses a rotatable fan-shaped nozzle to spray lubricant on the mold. Compared with traditional manual application or fixed nozzles, the rotatable fan-shaped nozzle can flexibly adjust the spraying angle and range according to the mold structure and aluminum bottle specifications, achieving full coverage and uniform spraying of the bottom and inner wall of the mold. A flow data list is obtained during the spraying process, and the lubricant spraying status can be monitored in real time, providing data support for subsequent adjustments. It is stipulated that one spray of lubricant is used for α times of stamping. An infrared sensor array is used to collect the temperature at different positions of the circular embryo to obtain a temperature matrix. Uneven application of lubricant will cause different friction between the aluminum cake and the mold, which in turn causes abnormal temperature distribution of the embryo. Combining the flow data list and temperature matrix, the actual lubricating effect of the lubricant and abnormal conditions during the stamping process can be analyzed and judged. If the temperature in a certain area is too high and the corresponding flow data indicates insufficient lubricant, the number of stampings can be adjusted (reduced), reducing aluminum bottle defects (such as uneven wall thickness and surface scratches) and mold wear caused by lubrication problems, thereby ensuring product quality and mold life. The circular blank is then mounted on a rotating spindle and rotated at high speed. A spinning wheel applies localized pressure to the necking area of the blank. Compared to traditional necking processes, this spinning method allows for more precise control of bottle finish shape and size. High-speed rotation evenly distributes force across the blank, while the localized pressure applied by the spinning wheel can be flexibly adjusted in both intensity and location according to design requirements, resulting in a highly precise finish. This effectively avoids problems such as bottle finish deformation and dimensional deviation, improving the yield rate and product quality of aluminum bottles. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0010] Figure 1 Flow chart of the aluminum bottle preparation method provided in the embodiment of the present application; Figure 2 This is a structural block diagram of the aluminum bottle preparation device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0011] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts are within the scope of protection of this application.

[0012] It should be noted that the terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

[0013] It should be noted that various aspects of the embodiments within the scope of the appended claims are described below. It should be apparent that the aspects described herein can be embodied in a wide variety of forms, and any specific structure and / or function described herein is merely illustrative. Based on this application, it should be understood by those skilled in the art that an aspect described herein can be implemented independently of any other aspect, and two or more of these aspects can be combined in various ways. For example, any number of aspects described herein can be used to implement an apparatus and / or practice a method. In addition, other structures and / or functionalities other than one or more of the aspects described herein can be used to implement this apparatus and / or practice this method.

[0014] Please refer to Figure 1 As shown, an embodiment of the present application provides a method for preparing an aluminum bottle, the method comprising: S100, use a punch to punch the aluminum cake preset at the bottom center position of the concave aluminum bottle stamping die, so that the aluminum cake flows in the opposite direction from the annular gap between the punch and the concave aluminum bottle stamping die, and extends upward along the inner wall of the concave aluminum bottle stamping die to form a circular embryo; and collect the temperature of different positions of the circular embryo according to the infrared sensor array to obtain a temperature matrix; wherein, the inner bottom and inner wall of the concave aluminum bottle stamping die are sprayed with lubricating oil according to the rotatable fan-shaped nozzle before the aluminum cake is placed; a corresponding flow data list is provided during the lubricating oil spraying process; the flow data list is obtained by collecting the flow data of the rotatable fan-shaped nozzle during the lubricating oil spraying process according to a preset collection frequency; the lubricating oil is sprayed once according to the preset requirements for α times of stamping.

[0015] Specifically, in one embodiment, a rotatable fan-shaped nozzle is fixed on a rigid metal rod, which is fixed to a bracket on the outside of the stamping die through a bearing, and the other end extends to the inside of the die to ensure stability and coaxiality during rotation. The middle part of the rod body of the rigid metal rod is connected to a rotation drive device (such as a servo motor), and the fan-shaped nozzle is fixed to the end of the rotatable rod by bolts. The rotation angle and speed can be controlled by a program. The nozzle outlet plane maintains a certain distance from the inner wall of the die to ensure the spray coverage range. The nozzle is connected to the lubricating oil storage tank through a high-pressure oil pipe. An electromagnetic flowmeter and a pressure valve are provided on the oil pipe for real-time monitoring and control of the lubricating oil flow.

[0016] During operation, the rotating fan-shaped spray nozzle is driven by the rotation of a rigid metal rod. As the nozzle rotates with the rod, its spray trajectory covers the inner wall and bottom, ensuring full coverage of the inner wall. An electromagnetic flowmeter collects real-time flow data of the lubricating oil through the nozzle (sampling frequency 10Hz) and transmits it to the control system to generate a flow data table corresponding to a spraying period.

[0017] Next, a reverse deep drawing method is used. This method uses a punch to apply pressure to the aluminum blank, causing it to plastically deform within the die, thus forming the desired shape of the aluminum bottle. The aluminum ingot must be made of a material with excellent plasticity and ductility to meet the process requirements of reverse drawing and stamping. Its chemical composition and mechanical properties must meet relevant standards and undergo rigorous inspection and testing before production. Furthermore, the surface quality of the aluminum ingot is crucial. Defects such as cracks, pores, and slag inclusions must be avoided, as these defects will expand during the stamping process, affecting the quality of the bottle. The diameter and thickness of the aluminum ingot must be strictly controlled within specified tolerances. An excessively large diameter may prevent the ingot from fitting smoothly into the center of the bottom of the die. An excessively small diameter will create a large gap between the ingot and the die during stamping, potentially causing misalignment and deformation. Uneven thickness results in inconsistent deformation of the ingot under stress, affecting the uniformity of the wall thickness of the circular blank. Therefore, high-precision processing equipment and measuring instruments are required during the processing of the aluminum ingot to ensure dimensional accuracy.

[0018] In the reverse stretch stamping method, the gap between the die and the punch is a critical factor in the aluminum ingot's forming process. The gap width must be precisely calculated based on the aluminum ingot's material properties (such as hardness and ductility) and the required wall thickness of the finished aluminum bottle. For example, for aluminum alloys with good ductility, if the target aluminum bottle wall thickness is 0.3mm, a gap width of 0.35-0.4mm is typically reserved. This allows for plastic deformation of the aluminum ingot during the stamping process, ensuring uniform wall thickness after forming the aluminum bottle while preventing flow obstruction caused by an excessively narrow gap. Furthermore, if the die is eccentric, the annular gap between the punch and the die will exhibit periodic variations in width (e.g., a gap that is too narrow at one angle and too wide at a different angle). For areas where the gap is too narrow, when the aluminum cake flows in the opposite direction from the annular gap between the punch and the die, the flow resistance of the aluminum billet increases sharply, and the material is forced to over-stretch, resulting in a significant thinning of the wall thickness of the aluminum bottle at the corresponding part. In severe cases, local tearing and penetration occur, forming scrap. For areas where the gap is too wide, the flow resistance of the aluminum billet drops sharply, and the material accumulates without sufficient constraints, resulting in wrinkles or wrinkling defects. Such wrinkles cannot be eliminated in the subsequent necking process, resulting in deformation of the bottle mouth or failure of the sealing.

[0019] It should be noted that the preset requirement of spraying lubricating oil once for α times of stamping according to the preset requirement means that the lubricating oil is sufficient and uniform, that is, a normal spraying can support α times of stamping.

[0020] S200, punching is performed according to the adjusted number of punching times to obtain a plurality of circular blanks, and each circular blank is fixed on a rotating spindle, rotated at a high speed at a preset speed, and at least one spinning wheel is radially approached to the circular blank, and local pressure is applied to the neck portion of the circular blank to be shrunk, so as to obtain an aluminum bottle with a formed bottle mouth; wherein the adjusted number of punching times is obtained according to the flow data list and the temperature matrix.

[0021] Specifically, a circular blank is fixed to a rotating spindle and rotated at high speed, while a spinning wheel applies localized pressure to the necking area of the blank. Compared to traditional necking processes, this spinning method allows for more precise control of bottle finish shape and size. High-speed rotation evenly distributes force across the blank, while the localized pressure applied by the spinning wheel can be flexibly adjusted in both intensity and location according to design requirements, resulting in a highly precise bottle finish. This effectively avoids problems such as bottle finish deformation and dimensional deviation, improving the yield rate and product quality of aluminum bottles.

[0022] An infrared sensor array collects temperatures at different locations on the circular blank and generates a temperature matrix. Uneven lubricant application can lead to excessive friction in some areas, potentially causing overly high temperatures in those areas. Areas with thinner lubricants may be able to support fewer stamping cycles than those with more lubricant. This temperature matrix also reveals that uneven lubricant application can cause varying friction between the aluminum pellet and the die, leading to abnormal temperature distribution within the blank. Combining flow rate data with the temperature matrix allows analysis of the actual lubricant's effectiveness and any anomalies during the stamping process. If a temperature in a particular area is too high and the corresponding flow rate data indicates insufficient lubricant, this indicates that insufficient lubricant is causing the abnormal temperature fluctuations. To ensure product quality and die life, the stamping cycle can be adjusted (reduced) to minimize defects (such as uneven wall thickness and surface scratches) and die wear caused by lubrication issues.

[0023] In an exemplary embodiment of the present application, an infrared sensor array is disposed around different height circles on the outer surface of a circular embryo. Each height circle has a corresponding infrared sensor group. Each infrared sensor group is composed of multiple infrared sensors evenly distributed along the height circle of the circular embryo. The infrared sensors are used to non-contactly collect the surface temperature of the circular embryo. The distance between any two adjacent height circles is the same. After lubricating oil is sprayed using a rotatable fan-shaped nozzle, the temperature matrix T1 corresponding to the first stamping meets the following characteristics: ; Where i = 1, 2, ..., n; n is the number of infrared sensors contained in each altitude circle; j = 1, 2, ..., m; m is the number of altitude circles; T 1，j，i is the temperature at the corresponding position on the surface of the circular embryo measured by the ith infrared sensor in the jth height circle in the temperature matrix obtained by the first stamping.

[0024] Specifically, the infrared sensor array is arranged around the outer surface of the circular embryo at different heights, so that the temperature distribution of the aluminum bottle embryo along the axial direction can be monitored.

[0025] It should be noted that multiple infrared temperature sensors simultaneously measure the temperature during the molding process. Under normal operating conditions, with no eccentricity, the temperatures corresponding to different height rings differ because the aluminum bottle blanks spend varying amounts of time cooling in the air after exiting the mold. Specifically, the temperature of the rings closer to the bottle's mouth is lower.

[0026] This embodiment employs multiple temperature monitoring points and layered monitoring to capture temperature anomalies at various heights, avoiding potential omissions in single-point or single-layer monitoring and ensuring comprehensive coverage of the entire embryo temperature field. Furthermore, the distance between any two adjacent height circles is the same, ensuring equidistant and consistent temperature data collection. However, if the aluminum cake is subjected to uneven force due to punch eccentricity or mold anomalies, differential deformation and frictional heat generation will occur at different heights. The resulting temperature matrix may exhibit anomalies at certain locations within certain height circles compared to the temperature matrix under normal operation.

[0027] It should be noted that T 1，1，i T is the temperature at the corresponding position on the surface of the circular blank measured by the ith infrared sensor in the first height circle in the temperature matrix obtained during the first stamping. 1，j，1 It is the temperature at the corresponding position on the surface of the circular embryo measured by the first infrared sensor in the j-th height circle in the temperature matrix obtained by the first stamping.

[0028] In an exemplary embodiment of the present application, obtaining the adjusted number of punching times according to the flow data list and the temperature matrix includes the following steps: S210, input the flow data list L0 corresponding to the lubricating oil spraying according to the rotatable fan-shaped nozzle into the influence classification model to obtain the influence classification result; wherein, the influence classification result represents the degree of influence of the concave aluminum bottle stamping die for lubricating oil spraying according to L0 on the number of stampings; the influence classification result is any one of the first influence classification result, the second influence classification result and the third influence classification result, the first influence classification result indicates that the concave aluminum bottle stamping die for lubricating oil spraying according to L0 cannot be stamped; the second influence classification result indicates that the concave aluminum bottle stamping die for lubricating oil spraying according to L0 can be stamped, and the number of stampings is reduced; the third influence classification result indicates that the concave aluminum bottle stamping die for lubricating oil spraying according to L0 can be stamped, and the number of stampings remains unchanged.

[0029] Specifically, as an example, the impact classification model may be any one of a decision tree model, a support vector machine (SVM) model, a random forest model, and a neural network model (such as a multi-layer perceptron MLP).

[0030] If the model determines the first impact classification, it means that the die cannot perform stamping based on the lubricant application conditions reflected in flow data list L0. For example, if the flow data indicates minimal or no lubricant application, the die surface lacks necessary lubrication. During stamping, excessive friction between the aluminum biscuit and the die can damage the die or prevent proper deformation. In this case, the die is unsuitable for stamping. If the model outputs the second impact classification, it means that the die can perform stamping based on lubricant application according to flow data list L, but the number of stamping cycles will be reduced. For example, if the lubricant application is uneven, with low flow in some areas, these areas will wear rapidly due to increased friction during the stamping process, shortening the overall die life and reducing the number of stamping cycles. If the model outputs the third impact classification, it means that lubricant application based on flow data list L enables normal stamping and does not affect the number of stamping cycles. This indicates that all indicators, such as the lubricant application amount and uniformity, are within the appropriate range, providing good lubrication conditions for the stamping process and ensuring a stable number of stamping cycles throughout the die's normal service life.

[0031] S220: If the impact classification result is the second impact classification result, L0 is input into the number prediction model to obtain an adjusted stamping number β, where β is a positive integer and β<α.

[0032] Specifically, the number prediction model can be built based on machine learning algorithms, such as a regression tree model. This model uses the various features in the flow data list L0 (such as the mean flow rate in each region, the standard deviation of the flow rate, and the proportion of low-flow areas) as input variables, and the actual number of stamping cycles that the mold can withstand under the same or similar flow distribution in history as training labels. By learning this data, the model can establish a mapping between flow characteristics and stamping cycles. When a new flow data list L0 is input, the model can use the learned patterns to predict the number of stamping cycles β that the mold can actually withstand under the current lubrication conditions.

[0033] If the impact classification result is the second impact classification result, L0 is input into the number prediction model to obtain the predicted number β. Here, if the impact classification result is the second impact classification result, it means that the lubricant is sprayed unevenly and the flow rate in some areas is too low. These areas will wear rapidly due to increased friction during the stamping process, thereby shortening the overall service life of the mold and reducing the number of stampings that can be performed. At this time, the number prediction model predicts the number of stampings β corresponding to the current lubricant application situation.

[0034] Because uneven lubrication is known to exist in some areas (the result of the second impact classification), the predicted β is necessarily less than the preset number of stampings α. For example, if a single application of lubricant is scheduled for α=100 stampings, and the model predicts that the mold can only withstand β=70 stampings due to uneven lubricant application, the system will adjust the number of stampings to 70. This avoids shutting down the machine only after excessive mold wear, reducing production interruptions and repair costs caused by mold damage. It also reduces the risk of a large number of unqualified aluminum bottles resulting from continued stamping, thus achieving dynamic optimization and cost control of the production process.

[0035] In an exemplary embodiment of the present application, after step S220, the method further includes: S230: In response to executing e punches, starting from the e+1th punch, a column confidence list D is obtained each time a punch is executed. f =(D f，1 , D f，2 ,…,D f，i ,…,D f，n ); where D f，i T f The column confidence of the temperature in column i; T f is the temperature matrix corresponding to the f-th stamping after the lubricating oil is sprayed by the rotatable fan-shaped nozzle; f=e+1, e+2,…,β-1; where e meets the following conditions: e=β×ZX-g; where ZX is the preset execution ratio; 0<ZX<1; and g is the preset predicted number of stampings.

[0036] S240: In response to h stamping operations, starting from the h+1th time, before each stamping operation, a prediction confidence list set ZJ is obtained. k =(ZJ k，1 , ZJ k，2 ,…,ZJ k，r ,…,ZJ k，g );h=β×ZX;k=h+1,h+2,…,β-1;r=1,2,…,g;ZJ k，r The rth column confidence list is obtained before executing the kth punch.

[0037] S250, ZJ k A working state prediction model is input to obtain a working state prediction result; wherein the working state prediction result is any one of a continuing working state and a stopping working state.

[0038] Specifically, for example, if β = 50, ZX is 90%, and g = 5, then e = 40, e + 1 = 41, h = 45, and h + 1 = 46. That is, if it is predicted that 50 stampings can be performed based on the current lubricant application conditions, in order to fully protect the mold and stamping equipment, after performing 50 × 90% = 45 stampings normally, before each stamping (i.e., the 46th, 47th, 48th, 49th, and 50th stampings), the column confidence of the first five stampings is obtained (i.e., before performing the 46th stamping, the column confidence of each of the 40th to 45th stampings is obtained). Based on these five column confidences, a prediction is made about the quality of the circular blank obtained by the next stamping, thereby determining whether the stamping can be performed normally.

[0039] It should be noted that when β=50, after executing 45 stampings, there is a significant loss of lubricant. Since 50 is the predicted result, and to prevent the prediction result from being inaccurate, before each stamping, it is necessary to obtain the column confidence of the current latest prediction, and then obtain the column confidence of the last five predictions. The data set composed of these five column confidences is then used as the input of the working status prediction result to determine whether the current column confidence, that is, the current lubricant remaining situation, can support the next stamping. This can minimize mold and equipment loss.

[0040] Step S230 includes: S231: In response to executing e times of stamping, starting from the e+1th time, each time a stamping is executed, a temperature matrix T is obtained. f .

[0041] S232, T f Input the decay prediction model to get T f The corresponding attenuation value S f .

[0042] S233, according to S f , get the corresponding attenuation flow data list L f Among them, L f =L0×S f .

[0043] S234, L f Input the confidence determination model and get T f The column confidence corresponding to each column in , to obtain the column confidence list D f =(D f，1 , D f，2 ,…,D f，i ,…,D f，n ).

[0044] That is, since each stamping operation causes different degrees of loss of lubricating oil, in order to be able to predict the 46th time, it is necessary to obtain data in advance. Therefore, starting from the 41st time (e+1), each time a stamping operation is performed, a temperature matrix T is obtained. f The temperature matrix here is different from the initial T1 (the temperature matrix obtained after the first stamping). Due to the loss of lubricating oil, the temperature matrix obtained when the 41st stamping is performed to obtain a circular blank may be higher overall. And the temperature may rise faster in the area where the spraying is uneven. f Get the corresponding attenuation value S f , and then get the attenuated flow data list according to the corresponding attenuation value, that is, S f Can reflect T f The corresponding remaining lubricant is then calculated. At this point, the corresponding column confidence is obtained. Furthermore, the column confidences for g predictions are obtained according to the above steps, and the quality of the circular blank obtained by the next stamping is finally predicted, thereby determining whether the stamping can be performed normally.

[0045] S260, if the working status prediction result is to continue working, jump to obtain the confidence list set ZJ k =(ZJ k，1 , ZJ k，2 ,…,ZJ k，r ,…,ZJ k，g ) steps until the βth punching is performed.

[0046] Specifically, if the working state prediction result is a continue working state, the prediction is continued for the next time until the β-th punching is completed.

[0047] In this embodiment, during the stamping process, lubricating oil is continuously lost due to friction and other factors, gradually diminishing its lubrication effect. When the number of stamping cycles reaches a specific ratio (e = β × ZX - g), the system begins real-time acquisition of a temperature matrix after each stamping cycle. Using a decay prediction model, the system analyzes the relationship between temperature changes and lubricant loss, generating decay values reflecting the remaining lubricant. This decay value, combined with the initial flow rate data list, is then converted into a column confidence list using a confidence determination model to quantify the lubrication status of each region. When the number of stamping cycles reaches h, the system further integrates the column confidence data from the previous g cycles to form a prediction confidence list. This is then input into the working state prediction model, which, based on a comprehensive analysis of historical data and current lubrication status, predicts the molding quality of the circular blank and the working state of the mold equipment during the next stamping cycle. If the predicted result indicates a stop state, the system immediately shuts down to prevent excessive mold wear and equipment failure due to insufficient lubricant, reducing maintenance costs and downtime. If the predicted state indicates a continue state, the prediction cycle continues until β stamping cycles are completed, ensuring production continuity. Not only can multi-dimensional data collection and analysis compensate for the randomness of single data and improve prediction accuracy, but it can also adaptively adjust production decisions according to the actual loss of lubricating oil. By discovering abnormal lubrication areas in advance and optimizing stamping parameters, it can reduce the scrap rate of uneven wall thickness of aluminum bottles, surface scratches, etc. caused by uneven lubrication. At the same time, it extends the service life of the mold and reduces the replacement frequency. While ensuring the stability of product quality, it significantly reduces production costs and meets the needs of modern manufacturing for efficient and precise production.

[0048] In an exemplary embodiment of the present application, after step S250, the method further includes: S270: If the working state prediction result is a stop working state, the stamping is stopped.

[0049] Specifically, if the predicted working state indicates a stop state, stamping is stopped. This is based on the precise prediction and proactive prevention of production risks. Since lubricant is continuously depleted and lubrication conditions constantly change during the stamping process, the prediction model, through analysis of multi-dimensional information such as column confidence data, determines that the die's lubrication conditions no longer meet normal stamping requirements during the current or subsequent stamping process. Continued stamping would subject the die to excessive friction and stress, leading to accelerated wear and even structural damage such as cracks and deformation, significantly shortening the die's lifespan and increasing repair costs. Furthermore, insufficient lubrication hinders the deformation of the aluminum cylinder within the die, making it highly likely to produce quality defects such as uneven wall thickness, surface scratches, and wrinkles. This results in a large amount of scrap, increases production costs, and impacts product delivery. Therefore, stopping stamping immediately when a stop state is predicted can effectively prevent potential risks. This not only protects expensive dies and stamping equipment, avoiding prolonged downtime and repairs due to equipment damage, but also reduces raw material waste, lowers scrap rates, and ensures the economic and stable production process.

[0050] In an exemplary embodiment of the present application, after step S210, the method further includes: S280: If the impact classification result is the third impact classification result, perform feature extraction on T1 to obtain a temperature feature vector TZ1.

[0051] Specifically, if the impact classification result is the third impact classification result, it means that the lubricant spraying based on the flow data list L0 can enable the mold to punch normally and the punching number is not affected. This indicates that the lubricant spraying amount, uniformity, and other indicators are within the appropriate range, providing good lubrication conditions for the punching process and ensuring a stable punching number within the normal service life of the mold. In this case, the impact of the lubricant on the aluminum bottle body has been eliminated. At this time, feature extraction is performed on T1 to obtain the temperature feature vector TZ1. The temperature feature obtained in this case only represents the impact of punch eccentricity on temperature.

[0052] S290, inputting TZ1 into the eccentricity determination model to obtain an eccentricity detection result; wherein the eccentricity detection result is that the punch is eccentric or the punch is not eccentric.

[0053] Specifically, the eccentricity determination model can be any one of a machine learning model and a deep learning model. Details will not be given here, and those skilled in the art can select the model based on actual conditions. In this embodiment, the influence of the lubricant spray amount and uniformity on the temperature matrix is eliminated. In this case, the changes in the temperature point values in the temperature matrix are all caused by the eccentricity of the punch. The temperature matrix is input into the trained eccentricity determination model to obtain the final eccentricity detection result.

[0054] In an exemplary embodiment of the present application, the flow data list and the temperature matrix can also be used to perform eccentricity detection on the punch. The following eccentricity detection can be performed after obtaining T1 and L0.

[0055] Specifically, after step S210, the method further includes: Sa1, if the impact classification result is the second impact classification result, then L0 is input into the confidence determination model to obtain the column confidence list D = (D1, D2, ..., D i ,…,D n ); where D i is the column confidence of the i-th temperature column in T; the column confidence indicates the degree of temperature anomaly of the corresponding temperature column at the corresponding position of the circular embryo.

[0056] Specifically, if the impact classification result is the second impact classification, it means that although the mold can punch, the number of punches is reduced. The root cause is uneven lubricant spraying. Uneven lubricant spraying can cause abnormal localized frictional heating of the aluminum bottle body, which may interfere with the accuracy of punch eccentricity detection. Therefore, the confidence determination model calculates the column confidence corresponding to each column in the temperature matrix T, associates the flow data list with the temperature matrix T1, and uses the column confidence list D1 to locate weak lubrication areas.

[0057] Sa2, if D 1，i If the confidence threshold is less than the preset value, then the D 1，i Each corresponding temperature is corrected to obtain an updated temperature matrix T1'.

[0058] Step Sa2 includes: Sa21, if D 1，i If the confidence threshold is less than the preset confidence threshold, the D 1，i Corresponding temperature list T 1，1，i , T 1，2，i ,…,T 1，j，i ,…,T 1，m，i .

[0059] Specifically, D 1，i If the confidence level is less than the preset threshold, this indicates that the temperature data for this column (a certain column of the circular body perpendicular to the height circle) is due to the rotatable fan nozzle spraying lubricant. When the nozzle rotates to this point, the flow rate may suddenly decrease due to some external factors. Due to the fan nozzle, some columns of the corresponding area may receive less lubricant than others. In this case, the temperature of the circular body corresponding to these columns may be increased due to insufficient lubrication.

[0060] Sa22, according to T 1，j，i , get the reference temperature list YT=(YT1,YT2,…,YTa ,…,YT b ); a=1, 2, ..., b; b is the number of reference temperatures; YT a For T 1，j，i The distance is ranked in ascending order. The reference temperature is the same as T 1，j，i The key temperature is in the same altitude circle and the distance is less than the preset distance; the key temperature is the temperature where the column confidence of the temperature column in T1 is equal to or greater than the preset confidence threshold.

[0061] Specifically, the temperature of certain columns of regions corresponding to the circular embryonic body may have increased, but other temperatures within the altitude band corresponding to each temperature data column may not have changed due to normal lubricant levels. In this case, temperature data within a certain range near this column of regions with a confidence level equal to or greater than a preset confidence threshold are selected and the corresponding data within the altitude band is corrected.

[0062] Sa23, according to YT to T 1，j，i Correction is performed to obtain the corrected T 1，j，i '.

[0063] Among them, T 1，j，i 'Meet the following requirements: T j，i '=(YT1 2 / (YT1+YT2+…+YT a +…+YT b ))+(YT2 2 / (YT1+YT2+…+YT a +…+YT b ))+…+(YT a 2 / (YT1+YT2+…+YT a +…+YT b ))+…+(YT b 2 / (YT1+YT2+…+YT b +…+YT b )).

[0064] Specifically, get T 1，j，iThe corrected temperature data is obtained by normalizing the several key temperature data points closest to it on both sides. This is because, if the lubricant were not affecting the temperature, under normal circumstances (when the punch is not eccentric), the temperatures measured by multiple infrared sensors evenly distributed within the same height circle should be nearly equal. However, uneven lubricant application causes temperature variations in certain columns across the entire circular blank. For each temperature data point in these abnormal columns, the temperature data corresponding to other columns within the same height circle that do not exhibit abnormalities should be normal. In other words, under normal circumstances, the temperature data corresponding to any other column that does not exhibit abnormalities can be used to correct the data. However, it is unknown whether the punch is eccentric. To minimize the deviation in temperature data caused by uneven lubricant application, the key temperature data corresponding to the column to be corrected (columns with confidence levels below a preset confidence threshold) are corrected based on several height data points that are closer to each temperature data point within the same height circle. Here, the column confidence level of the key temperature data point is above the preset confidence threshold. Because temperature conducts through metal, the data closest to the target is corrected, more closely matching the data to be corrected when there is no uneven lubricant application. This allows correction of column data caused by uneven lubricant application, minimizing the impact of lubricant on temperature data.

[0065] According to the above method, each temperature data to be corrected is corrected to obtain a corrected temperature matrix.

[0066] Sa3, perform feature extraction on T1' to obtain the temperature feature vector TZ.

[0067] Specifically, the feature extraction method is the same as above and will not be repeated here.

[0068] In this example, the temperature matrix records the surface temperature distribution of the circular blank. Uneven lubricant application can cause temperature anomalies in some areas. Under normal operating conditions (no lubricant interference and the punch is not off-center), infrared sensors at the same height should measure approximately the same temperature because the aluminum disk is evenly stressed, frictional heat is generated consistently, and the duration of contact with air is the same. However, when lubricant is applied unevenly, insufficient lubrication in some areas can lead to increased friction and elevated temperatures, which can interfere with punch off-center detection. Therefore, correction of abnormal temperature data is required to eliminate the influence of punch off-center determination.

[0069] This embodiment selects adjacent key temperature data within the same height circle for the column data to be corrected whose confidence level is lower than the threshold value, based on the heat conduction characteristics of the metal. The adjacent data is normalized, and the abnormal temperature data is corrected by weighted averaging and other methods to offset the temperature fluctuations caused by uneven lubrication. Specifically, the adjacent data is closer to the actual state of the data to be corrected under uniform lubrication conditions, avoiding confusion between temperature anomalies caused by punch eccentricity and lubrication abnormalities. By traversing and correcting all the data to be corrected, a more accurate temperature matrix is finally obtained. The temperature characteristics obtained by this method avoid the influence of uneven lubrication on eccentricity judgment to the greatest extent. It significantly improves the accuracy of punch eccentricity detection, effectively avoids misjudgment caused by lubrication factors, and provides reliable data support for the subsequent eccentricity determination model.

[0070] After step S210, the method further includes: Sa4: If the impact classification result is the first impact classification result, a work suspension warning is issued.

[0071] Specifically, if the impact classification result is the first impact classification result, it may be that the flow data shows that the amount of lubricant sprayed in some areas is very small or even not sprayed, and the mold surface lacks the necessary lubrication. The friction between the aluminum cake and the mold will increase sharply during stamping. On the one hand, the aluminum cake will have difficulty flowing back through the annular gap between the punch and the mold and extending to form a round embryo as expected. Serious quality problems such as uneven deformation, surface scratches, and cracks may occur, causing all produced aluminum bottles to become scrap. On the other hand, excessive friction will cause the mold to be subjected to abnormally high pressure, causing local stress concentration in the mold, accelerating mold wear, and even directly causing mold damage such as cracks and deformation, which seriously shortens the mold life. Therefore, once the first impact classification result appears, the system immediately issues a pause warning, promptly interrupting the stamping process to avoid continuing production when the stamping conditions are not met. This effectively reduces the waste of raw materials and mold damage caused by forced stamping, and ensures the safety of production equipment.

[0072] Please refer to Figure 2 As shown, an embodiment of the present application provides an aluminum bottle preparation device 100, the device comprising: The stamping unit 110 is used to use a punch to stamp the aluminum cake preset at the bottom center position of the concave aluminum bottle stamping die, so that the aluminum cake flows in the opposite direction from the annular gap between the punch and the concave aluminum bottle stamping die, and extends upward along the inner wall of the concave aluminum bottle stamping die to form a circular embryo; and collects the temperature of different positions of the circular embryo according to the infrared sensor array to obtain a temperature matrix; wherein, the inner bottom and inner wall of the concave aluminum bottle stamping die are sprayed with lubricating oil according to the rotatable fan-shaped nozzle before the aluminum cake is placed; a corresponding flow data list is provided during the lubricating oil spraying process; the flow data list is obtained by collecting the flow data of the rotatable fan-shaped nozzle during the lubricating oil spraying process according to a preset collection frequency; and the lubricating oil is sprayed once according to the preset requirements for α times of stamping.

[0073] The forming unit 120 is used to punch out a plurality of circular blanks according to the adjusted number of punching times, and fix each circular blank on a rotating spindle, rotate it at a high speed at a preset speed, and move at least one spinning wheel radially close to the circular blank to apply local pressure to the neck portion of the circular blank to be shrunk, so as to obtain an aluminum bottle with a formed bottle mouth; wherein the adjusted number of punching times is obtained according to the flow data list and the temperature matrix.

[0074] An embodiment of the present application further provides a computer program product, which includes program code. When the program product is run on an electronic device, the program code is used to enable the electronic device to execute the steps of the method according to various exemplary embodiments of the present application described above in this specification.

[0075] Furthermore, although the steps of the method of the present application are described in a particular order in the accompanying drawings, this does not require or imply that the steps must be performed in this particular order, or that all steps shown must be performed to achieve the desired results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps.

[0076] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes a number of instructions to enable a computing device (which can be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the embodiments of the present application.

[0077] In an exemplary embodiment of the present application, an electronic device capable of implementing the above method is also provided.

[0078] Those skilled in the art will appreciate that various aspects of the present application can be implemented as systems, methods, or program products. Therefore, various aspects of the present application can be specifically implemented in the following forms: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or an implementation that combines hardware and software aspects, which may be collectively referred to herein as a "circuit," "module," or "system."

[0079] The electronic device according to this embodiment of the present application is merely an example and should not limit the functions and scope of use of the embodiments of the present application.

[0080] The electronic device is implemented as a general-purpose computing device. Components of the electronic device may include, but are not limited to, the at least one processor, the at least one memory, and a bus connecting different system components (including the memory and the processor).

[0081] The storage stores program codes, which can be executed by the processor, so that the processor executes the steps described in the above “Exemplary Method” section of this specification according to various exemplary embodiments of the present application.

[0082] The memory may include readable media in the form of volatile memory, such as random access memory (RAM) and / or cache memory, and may further include read only memory (ROM).

[0083] The storage may also include a program / utility having a set (at least one) of program modules, such program modules including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0084] The bus may represent one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures.

[0085] The electronic device may also communicate with one or more external devices (e.g., a keyboard, pointing device, Bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device, and / or any device that enables the electronic device to communicate with one or more other computing devices (e.g., a router, modem, etc.). This communication may occur via an input / output (I / O) interface. Furthermore, the electronic device may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network such as the Internet) via a network adapter. As shown in the figure, the network adapter communicates with other modules of the electronic device via a bus. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0086] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes a number of instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present application.

[0087] In exemplary embodiments of the present application, a computer-readable storage medium is also provided, on which is stored a program product capable of implementing the aforementioned methods of this specification. In some possible implementations, various aspects of the present application may also be implemented in the form of a program product, which includes program code. When the program product is executed on a terminal device, the program code is used to cause the terminal device to execute the steps described in the "Exemplary Methods" section of this specification according to various exemplary embodiments of the present application.

[0088] The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0089] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A readable signal medium may also be any readable medium other than a readable storage medium that can transmit, propagate, or transfer a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0090] The program code embodied on the readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0091] The program code used to perform the operations of the present application can be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, C++, and conventional procedural programming languages such as "C" or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, as a stand-alone software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0092] Furthermore, the above-mentioned figures are merely illustrative of the processes included in the methods according to exemplary embodiments of the present application and are not intended to be limiting. It is readily understood that the processes illustrated in the above-mentioned figures do not indicate or limit the temporal order of these processes. Furthermore, it is readily understood that these processes may be executed synchronously or asynchronously, for example, in multiple modules.

[0093] It should be noted that, although several modules or units of the device for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiment of the application, the features and functions of two or more modules or units described above can be concretized in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into multiple modules or units to be concretized.

[0094] The above are only specific embodiments of the present application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A method for preparing an aluminum bottle, characterized in that: The method comprises: S100, using a punch to punch an aluminum cake pre-placed at the center of the bottom of a concave aluminum bottle stamping die, so that the aluminum cake flows in the opposite direction from the annular gap between the punch and the concave aluminum bottle stamping die, and extends upward along the inner wall of the concave aluminum bottle stamping die to form a circular embryo; and collecting temperatures at different positions of the circular embryo according to an infrared sensor array to obtain a temperature matrix; wherein, before the aluminum cake is placed in the concave aluminum bottle stamping die, the inner bottom and inner wall of the concave aluminum bottle stamping die are sprayed with lubricating oil according to a rotatable fan-shaped nozzle; during the lubricating oil spraying process, a corresponding flow data list is generated; the flow data list is obtained by collecting flow data of the rotatable fan-shaped nozzle during the lubricating oil spraying process according to a preset collection frequency; and lubricating oil is sprayed once according to preset requirements for α times of stamping. S200, punching is performed according to the adjusted number of punching times to obtain a plurality of circular blanks, and each circular blank is fixed on a rotating spindle, rotated at a high speed at a preset speed, and at least one spinning wheel is radially approached to the circular blank, and local pressure is applied to the neck portion of the circular blank to be shrunk, so as to obtain an aluminum bottle with a formed bottle mouth; wherein the adjusted number of punching times is obtained according to the flow data list and the temperature matrix.

2. The method for preparing an aluminum bottle according to claim 1, characterized in that: The infrared sensor array is arranged around different height circles on the outer surface of the circular embryo. Each height circle has a corresponding infrared sensor group. Each infrared sensor group is composed of multiple infrared sensors evenly distributed along the height circle of the circular embryo. The infrared sensors are used to collect the surface temperature of the circular embryo in a non-contact manner. The distance between any two adjacent height circles is the same. After the lubricant is sprayed using the rotatable fan-shaped nozzle, the temperature matrix T1 corresponding to the first stamping meets the following characteristics: ； Where i = 1, 2, ..., n; n is the number of infrared sensors contained in each altitude circle; j = 1, 2, ..., m; m is the number of altitude circles; T 1，j，i is the temperature at the corresponding position on the surface of the circular embryo measured by the ith infrared sensor in the jth height circle in the temperature matrix obtained by the first stamping.

3. The method for preparing an aluminum bottle according to claim 2, characterized in that: The adjusted punching times are obtained based on the flow data list and temperature matrix, including the following steps: S210, inputting the flow data list L0 corresponding to the lubricating oil spraying according to the rotatable fan-shaped nozzle into the influence classification model to obtain the influence classification result; wherein the influence classification result indicates the degree of influence of the concave aluminum bottle stamping die for lubricating oil spraying according to L0 on the number of stampings; the influence classification result is any one of the first influence classification result, the second influence classification result, and the third influence classification result, the first influence classification result indicating that the concave aluminum bottle stamping die for lubricating oil spraying according to L0 cannot perform stamping; the second influence classification result indicating that the concave aluminum bottle stamping die for lubricating oil spraying according to L0 can perform stamping, and the number of stampings is reduced; the third influence classification result indicating that the concave aluminum bottle stamping die for lubricating oil spraying according to L0 can perform stamping, and the number of stampings remains unchanged; S220: If the impact classification result is the second impact classification result, L0 is input into the number prediction model to obtain an adjusted stamping number β, where β is a positive integer and β<α.

4. The method for preparing an aluminum bottle according to claim 3, characterized in that: After step S220, the method further includes: S230: In response to executing e punches, starting from the e+1th punch, a column confidence list D is obtained each time a punch is executed. f =(D f，1 , D f，2 ,…,D f，i ,…,D f，n ); where D f，i T f The column confidence of the temperature in column i; T f is the temperature matrix corresponding to the f-th stamping after lubricant spraying by the rotatable fan nozzle; f = e + 1, e + 2, …, β - 1; where e meets the following conditions: e = β × ZX - g; where ZX is the preset execution ratio; 0 < ZX < 1; g is the preset predicted number of stampings; S240: In response to h stamping operations, starting from the h+1th time, before each stamping operation, a prediction confidence list set ZJ is obtained. k =(ZJ k，1 , ZJ k，2 ,…,ZJ k，r ,…,ZJ k，g );h=β×ZX;k=h+1,h+2,…,β-1;r=1,2,…,g;ZJ k，r is the rth column confidence list obtained before executing the kth punch; S250, ZJ k Inputting a working state prediction model to obtain a working state prediction result; wherein the working state prediction result is any one of a continuing working state and a stopping working state; S260, if the working status prediction result is to continue working, jump to obtain the confidence list set ZJ k =(ZJ k，1 , ZJ k，2 ,…,ZJ k，r ,…,ZJ k，g ) steps until the βth punching is performed.

5. The method for preparing an aluminum bottle according to claim 4, characterized in that: Step S230 includes: S231: In response to executing e times of stamping, starting from the e+1th time, each time a stamping is executed, a temperature matrix T is obtained. f ; S232, T f Input the decay prediction model to get T f The corresponding attenuation value S f ; S233, according to S f , get the corresponding attenuation flow data list L f Among them, L f =L0×S f ; S234, L f Input the confidence determination model and get T f The column confidence corresponding to each column in , to obtain the column confidence list D f =(D f，1 , D f，2 ,…,D f，i ,…,D f，n ).

6. The method for preparing an aluminum bottle according to claim 4, characterized in that: After step S250, the method further includes: S270: If the working state prediction result is a stop working state, the stamping is stopped.

7. The method for preparing an aluminum bottle according to claim 3, characterized in that: After step S210, the method further includes: S280 , if the impact classification result is the third impact classification result, perform feature extraction on T1 to obtain a temperature feature vector TZ1 ; S290, inputting TZ1 into the eccentricity determination model to obtain an eccentricity detection result; wherein the eccentricity detection result is that the punch is eccentric or the punch is not eccentric.

8. An aluminum bottle preparation device, characterized in that: The device comprises: The punching unit is used to use a punch to punch an aluminum cake preset at the center of the bottom of a concave aluminum bottle stamping die, so that the aluminum cake flows in the opposite direction from the annular gap between the punch and the concave aluminum bottle stamping die, and extends upward along the inner wall of the concave aluminum bottle stamping die to form a circular embryo; and the temperature of different positions of the circular embryo is collected according to the infrared sensor array to obtain a temperature matrix; wherein, before the aluminum cake is placed in the concave aluminum bottle stamping die, the inner bottom and inner wall of the concave aluminum bottle stamping die are sprayed with lubricating oil according to a rotatable fan-shaped nozzle; during the lubricating oil spraying process, a corresponding flow data list is provided; the flow data list is obtained by collecting flow data of the rotatable fan-shaped nozzle during the lubricating oil spraying process according to a preset collection frequency; according to the preset requirements, the lubricating oil is sprayed once for α times of stamping; The forming unit is used to punch out a plurality of circular blanks according to the adjusted number of punching times, and each circular blank is fixed on a rotating spindle, rotated at a high speed at a preset speed, and at least one spinning wheel is radially approached to the circular blank to apply local pressure to the neck portion of the circular blank to be shrunk, so as to obtain an aluminum bottle with a formed bottle mouth; wherein the adjusted number of punching times is obtained according to a flow data list and a temperature matrix.

9. A non-transitory computer-readable storage medium, characterized in that The storage medium stores at least one instruction or at least one program, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the aluminum bottle preparation method as described in any one of claims 1 to 7.

10. An electronic device, characterized in that: The device comprises a processor and the non-transitory computer-readable storage medium as claimed in claim 9.

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