Aluminum foil lunch box demoulding control optimization method and system

Abstract

The invention relates to the technical field of demoulding control, and provides a demoulding control optimization method and system for an aluminum foil lunch box, comprising: obtaining production process parameters by collecting production data; setting an aluminum foil lunch box production information chain; obtaining an aluminum foil lunch box quality standard; determining a demoulding control coordinate point; classifying and aggregating to obtain m classified and aggregated coordinate centers; taking the aluminum foil lunch box quality standard as a reference line, optimizing and regulating in a descending order of the quality deviation of the aluminum foil lunch box, and solving the technical problem of instability of a demoulding control effect caused by failure to fully utilize the data generated in the production process to optimize the control strategy. By establishing an aluminum foil lunch box production information chain, classifying and aggregating demoulding control coordinate points, and fully utilizing the data generated in the production process to optimize the control strategy, optimization and regulation according to quality standards are achieved, the size deviation and surface defects of the aluminum foil lunch box are reduced, the demoulding control accuracy is improved, the demoulding control effect is guaranteed, and the quality technical effect of the aluminum foil lunch box is improved.

Description

Technical Field

[0001] The present invention relates to the technical field related to demoulding control, and in particular to a demoulding control optimization method and system for an aluminum foil lunch box. Background Art

[0002] In the manufacturing of aluminum foil lunch boxes, demoulding refers to the process of removing the formed lunch box from the mold. Demolding control is a technical means to ensure that the lunch box does not deform or damage during the demoulding process. Generally, fixed mechanical parameters (such as pressure, speed, etc.) are used to control the demoulding process. However, fixed mechanical parameters cannot adapt to changes in different production batches or raw materials, thus affecting product quality. In general, conventional demoulding control methods lack in-depth analysis of data during the demoulding process, resulting in instability in the demoulding control effect.

[0003] In summary, the prior art has a technical problem that the data generated during the production process cannot be fully utilized to optimize the control strategy, resulting in instability of the demoulding control effect. Summary of the invention

[0004] The present application provides an aluminum foil lunch box demoulding control optimization method and system, aiming to solve the technical problem in the prior art that the direct collection of data generated during the production process cannot fully utilize the data to optimize the control strategy, thereby causing the demoulding control effect to be unstable.

[0005] In view of the above problems, the present application provides an aluminum foil lunch box demoulding control optimization method and system.

[0006] The first aspect disclosed in the present application provides an optimization method for demoulding control of aluminum foil lunch boxes, wherein the method comprises: collecting production data during the operation of the aluminum foil lunch box production line to obtain production process parameters, wherein the production process parameters include mold temperature, aluminum foil material temperature, and demoulding force; setting an aluminum foil lunch box production information chain according to the aluminum foil lunch box production process and the production process parameters, wherein the aluminum foil lunch box production information chain includes K production stages, where K is a positive integer greater than or equal to 2; obtaining aluminum foil lunch box quality standards, wherein the aluminum foil lunch box quality standards include The flatness of the aluminum foil surface and the dimensional accuracy of the aluminum foil lunch box; according to the aluminum foil lunch box quality standard, determine the demoulding control coordinate points on the surface of the aluminum foil lunch box, wherein the demoulding control coordinate points include n production process parameters; classify and aggregate the demoulding control coordinate points according to the aluminum foil lunch box production information chain surface to obtain m classified aggregated coordinate centers; use the aluminum foil lunch box quality standard as the reference line, and optimize and control the K production stages in the aluminum foil lunch box production process in the order from large to small of the aluminum foil lunch box quality deviations corresponding to the m classified aggregated coordinate centers.

[0007] Another aspect disclosed in the present application provides an aluminum foil lunch box demolding control optimization system, wherein the system includes: a production process parameter collection module, which is used to collect production data during the operation of the aluminum foil lunch box production line to obtain production process parameters, wherein the production process parameters include mold temperature, aluminum foil material temperature, and demolding force; a production information chain setting module, which is used to set the aluminum foil lunch box production information chain according to the aluminum foil lunch box production process and the production process parameters, wherein the aluminum foil lunch box production information chain includes K production stages, and K is a positive integer greater than or equal to 2; a quality standard acquisition module, which is used to obtain the quality standard of the aluminum foil lunch box, and the quality standard of the aluminum foil lunch box includes The module comprises a demoulding control coordinate point determination module, which is used to determine the demoulding control coordinate points on the surface of the aluminum foil lunch box according to the aluminum foil lunch box quality standard, wherein the demoulding control coordinate points include n production process parameters; a coordinate point classification and aggregation module, which is used to classify and aggregate the demoulding control coordinate points according to the aluminum foil lunch box production information chain surface, and obtain m classified aggregation coordinate centers; an optimization and control module, which is used to use the aluminum foil lunch box quality standard as a reference line, and optimize and control the K production stages in the aluminum foil lunch box production process according to the order of the aluminum foil lunch box quality deviations corresponding to the m classified aggregation coordinate centers from large to small.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] The production process parameters are obtained by collecting production data; an aluminum foil lunch box production information chain is set up; the quality standard of the aluminum foil lunch box is obtained; the demoulding control coordinate points on the surface of the aluminum foil lunch box are determined; m classified and aggregated coordinate centers are obtained; the quality standard of the aluminum foil lunch box is used as the reference line, and the optimization and regulation are performed in the order of the quality deviation of the aluminum foil lunch box from large to small, thereby solving the technical problem of instability of the demoulding control effect caused by not being able to fully utilize the data generated in the production process to optimize the control strategy. By establishing an aluminum foil lunch box production information chain, classifying and aggregating the demoulding control coordinate points, and fully utilizing the data generated in the production process to optimize the control strategy, the technical effect of optimizing and regulating according to the quality standard, reducing the size deviation and surface defects of the aluminum foil lunch box, improving the demoulding control accuracy, ensuring the demoulding control effect, and then improving the quality of the aluminum foil lunch box is achieved.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1A possible flow chart of an optimization method for demoulding control of an aluminum foil lunch box is provided for the embodiment of the present application;

[0012] Figure 2 A possible flow chart of mold maintenance and coating repair in an optimization method for demoulding control of an aluminum foil lunch box is provided for the embodiment of the present application;

[0013] Figure 3 A possible structural schematic diagram of an aluminum foil lunch box demoulding control optimization system is provided for the embodiment of the present application.

[0014] Explanation of the reference numerals: production process parameter collection module 100, production information chain setting module 200, quality standard acquisition module 300, demoulding control coordinate point determination module 400, coordinate point classification aggregation module 500, optimization and control module 600. DETAILED DESCRIPTION

[0015] The following is a description of exemplary embodiments of the present invention in conjunction with the accompanying drawings, including various details of the embodiments of the present invention to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present invention. Similarly, for clarity and conciseness, the description of well-known functions and structures is omitted in the following description.

[0016] Embodiment 1

[0017] like Figure 1 As shown, the embodiment of the present application provides an optimization method for demoulding control of an aluminum foil lunch box, wherein the method comprises:

[0018] Step-1: Collect production data during the operation of the aluminum foil lunch box production line to obtain production process parameters, which include mold temperature, aluminum foil material temperature, and demoulding force;

[0019] Step-2: according to the aluminum foil lunch box production process and the production process parameters, an aluminum foil lunch box production information chain is set, wherein the aluminum foil lunch box production information chain includes K production stages, and K is a positive integer greater than or equal to 2;

[0020] Step-3: Obtaining the quality standard of the aluminum foil lunch box, wherein the quality standard of the aluminum foil lunch box includes the surface flatness of the aluminum foil and the size accuracy of the aluminum foil lunch box;

[0021] During the operation of the aluminum foil lunch box production line, production data is collected and production process parameters are obtained, the production process parameters including but not limited to mold temperature, aluminum foil material temperature, and demoulding force; then, the time information is used as the information chain node coordinates, and the production process parameters are inserted according to the aluminum foil lunch box production process to establish an aluminum foil lunch box production information chain, the aluminum foil lunch box production information chain covers K production stages, where K is a positive integer greater than or equal to 2, representing the key steps in the production process, including but not limited to aluminum foil material heating and aluminum foil material injection molding;

[0022] The purpose of the aluminum foil lunch box production information chain is to collect, record and analyze data and parameters at each stage throughout the production process. By monitoring and recording parameters such as mold temperature, aluminum foil material temperature and demoulding force, detailed information about the production process can be obtained. In addition, the quality standard of aluminum foil lunch boxes has also been determined. The quality standard of aluminum foil lunch boxes includes requirements for aluminum foil surface flatness and aluminum foil lunch box dimensional accuracy, which are used to measure whether the produced aluminum foil lunch boxes meet the expected quality level. By monitoring and analyzing various parameters in the production process, the manufacturing status of the product can be grasped in real time, providing data support for subsequent analysis.

[0023] Step-4: Determine the demoulding control coordinate points on the surface of the aluminum foil lunch box according to the aluminum foil lunch box quality standard, wherein the demoulding control coordinate points include n production process parameters;

[0024] Step-5: Classify and aggregate the demoulding control coordinate points according to the aluminum foil lunch box production information chain surface to obtain m classified aggregated coordinate centers;

[0025] Step-6: Taking the aluminum foil lunch box quality standard as the guideline, the K production stages are optimized and regulated in the aluminum foil lunch box production process according to the order of the aluminum foil lunch box quality deviations corresponding to the m classification aggregation coordinate centers from large to small.

[0026] The demoulding control coordinate point refers to the value of the key parameter that controls the demoulding process during the manufacturing process of the aluminum foil lunch box. Demolding refers to the step of removing the product from the mold. Its control points involve parameters such as mold temperature, aluminum foil material temperature, demoulding force, etc., to ensure that the product is smoothly separated from the mold without damage; the n production process parameters refer to various variables that affect product performance and quality during the manufacturing process of the aluminum foil lunch box, including mold temperature, aluminum foil material temperature, demoulding force, mold surface humidity, and demoulding speed;

[0027] The demoulding control coordinate points are evaluated, and a bottom-up agglomerative hierarchical clustering analysis is performed according to the offset between the aluminum foil lunch box quality standard and the demoulding control coordinate points from large to small, to obtain m classified aggregation coordinate centers, and the aluminum foil lunch box quality standard is used as a reference line, and the K production stages are optimized and regulated (including adjusting production process parameters) in the aluminum foil lunch box production process according to the order of the aluminum foil lunch box quality offsets corresponding to the m classified aggregation coordinate centers from large to small. An information transmission chain is established through analysis to determine the quality standard in the aluminum foil lunch box production process, and on the established quality standard reference line, a method for optimizing and regulating the key stages in the production process according to the classified aggregation data center is used to improve the consistency of the generated aluminum foil lunch boxes, reduce the defective rate, and improve production efficiency.

[0028] In the production process of the aluminum foil lunch box, the K production stages are optimized and regulated, and Step-6 also includes:

[0029] A demoulding force sensor is installed on the mold of the aluminum foil lunch box, and monitoring and collecting are performed simultaneously to obtain a demoulding force data set, wherein the elements in the demoulding force data set have demoulding coordinate marks;

[0030] Select any point in the corner area of ​​the aluminum foil lunch box as the first demoulding coordinate, and determine the Lth demoulding coordinate along the spatial diagonal line of the first demoulding coordinate;

[0031] The first demoulding coordinate and the Lth demoulding coordinate are connected to obtain a first demoulding direction, and the first demoulding direction corresponds to the first demoulding force data one by one.

[0032] The demoulding force sensor is installed on the mold of the aluminum foil lunch box, and is used to monitor and measure the force or pressure applied to the mold during the demoulding process; the demoulding force data set is a set of data collected from the demoulding force sensor, which includes demoulding force information at different time points, and each element is associated with a demoulding coordinate mark on the corresponding aluminum foil lunch box; the demoulding coordinate mark refers to the coordinate or position information used to mark the element in the demoulding force data set, and can synchronously mark the current demoulding coordinate on the aluminum foil lunch box;

[0033] The first demoulding coordinate and the Lth demoulding coordinate are specific coordinate points selected in the corner area of ​​the aluminum foil lunch box, which are used to determine the direction of demoulding. The first demoulding coordinate is a starting point, and the Lth demoulding coordinate is another coordinate point determined on the basis of the first demoulding coordinate, which is also located in the corner area of ​​the aluminum foil lunch box; the connecting line between the first demoulding coordinate and the Lth demoulding coordinate is the spatial diagonal of the aluminum foil lunch box (preferably, the use of the diagonal can minimize the deformation of the aluminum foil lunch box caused by demoulding); the first demoulding direction is the direction determined by connecting the first demoulding coordinate and the Lth demoulding coordinate, which is used to indicate the direction of demoulding.

[0034] In the production process of aluminum foil lunch boxes, by installing demoulding force sensors and monitoring and collecting demoulding force data, understanding the force applied by the mold at different positions, selecting specific demoulding coordinates, and determining the demoulding direction, the deformation of the aluminum foil lunch box caused by demoulding can be minimized, thereby better controlling the quality of the aluminum foil lunch box and ensuring that each product meets the specification requirements.

[0035] Install the demoulding force sensor on the mold of the aluminum foil lunch box. Step-6 also includes:

[0036] Before the demoulding force sensor starts monitoring and collecting, refer to the historical demoulding force data, and use a step pressure source to perform a calibration based on the accuracy of the sensor;

[0037] After the demoulding force sensor is calibrated once, a secondary calibration is performed using a standard pressure sensor based on the accuracy of the sensor to complete the calibration of the demoulding force sensor.

[0038] The historical demoulding force data is a record of the demoulding force of the mold collected previously, which indicates the force of the mold to separate from the aluminum foil lunch box. By analyzing the historical data, we can understand the changes in the force applied by the mold at different positions, so as to better understand the mechanical requirements in the production process, including the historical demoulding force at different times of the first demoulding coordinate;

[0039] Precision refers to the accuracy of the demoulding force sensor, for example, the accuracy of the demoulding force needs to be in thousandths (in Newtons); accuracy refers to the correctness of the demoulding force sensor, for example, the correctness of the demoulding force needs to be no less than 99.9%; the higher the precision and accuracy of the demoulding force sensor, the closer the measurement result is to the actual situation;

[0040] Step 1: Use a step pressure source to calibrate the demoulding force sensor. The step pressure source is a device that can provide a stable and instantaneous pressure signal. During the calibration process, it is used to adjust the reading of the demoulding force sensor to make it more closely match the actual demoulding force. By using a step pressure source, the demoulding force sensor can be calibrated once to accurately respond to sudden changes in pressure, thereby ensuring the reliability of its measurement results.

[0041] Step 2: Calibration process using a standard pressure sensor, which is a sensor of known accuracy used to calibrate other sensors; by comparing the demolding force sensor with the standard pressure sensor, the demolding force sensor reading can be adjusted to more accurately reflect the actual demolding force.

[0042] like Figure 2 As shown, the embodiment of the present application also includes:

[0043] Using the historical demoulding force data, a demoulding force variation curve is drawn, wherein the horizontal axis of the demoulding force variation curve is the number of times the mold of the aluminum foil lunch box is demoulded;

[0044] Obtaining p lubricant application nodes, wherein the lubricant application nodes include lubricant application time information;

[0045] The lubricant application node is embedded in the demoulding force variation curve, and p+1 lubricant application cycles are calculated;

[0046] Based on the p+1 lubricant application cycles, marking a mold coating repair cycle; and

[0047] During the mold coating repair cycle, the mold of the aluminum foil lunch box is shut down and the mold coating is filled.

[0048] The demoulding force variation curve refers to a graph plotting the demoulding force of an aluminum foil lunch box mold during multiple demoulding processes, wherein the horizontal axis of the demoulding force variation curve represents the number of times the mold is demoulded, and the vertical axis of the demoulding force variation curve represents the magnitude of the demoulding force. The demoulding force variation curve can reflect the change in the demoulding relationship between the mold and the aluminum foil as the number of uses increases; the number of mold demoulding times refers to the number of times the aluminum foil lunch box mold has been separated from the mold since the start of production.

[0049] In the production process, lubricants are substances used to reduce friction and prevent adhesion. Lubricants are used to reduce the friction between the mold and the aluminum foil, which helps to separate the mold and the aluminum foil smoothly.

[0050] The lubricant application node refers to the operation of applying lubricant to the mold at a specific point in time during the production process. The lubricant application cycle refers to the time interval between lubricant application, usually between consecutive production cycles. The regular application of lubricant can maintain good separation between the mold and the aluminum foil; the lubricant application node will be embedded in the demolding force variation curve to form a lubricant application cycle; the mold coating repair cycle is a time period marked according to the lubricant application cycle and the demolding force variation curve, indicating that the mold coating may need to be repaired or re-coated. The mold coating may be worn due to long-term use, resulting in increased demolding force. During the mold coating repair cycle, the coating of the mold is repaired or re-coated. This can restore the smoothness and functionality of the mold surface and ensure that the demolding force remains within an acceptable range. During the mold coating repair cycle, mold maintenance and coating repair steps are performed to stop the production of aluminum foil lunch boxes;

[0051] Through reasonable mold maintenance and coating repair, the friction between the mold and the aluminum foil can be reduced, the demoulding process can be smoother, and the friction between the mold and the aluminum foil can be minimized, thereby improving production efficiency. By monitoring the changes in demoulding force and regular lubricant application, the risk of product defects caused by mold wear or adhesion can be reduced, and product quality can be improved. Reasonable maintenance and lubrication can extend the service life of the mold, reduce the frequency of mold replacement, and reduce production costs. By controlling the mold coating repair cycle, it can be ensured that production is always carried out under the mold in good condition, thereby maintaining consistent production quality.

[0052] like Figure 2 As shown, based on the p+1 lubricant application cycles, the mold coating repair cycle is marked, and the embodiment of the present application further includes:

[0053] Based on the p lubricant application nodes, p mold coating shedding monitoring nodes are set;

[0054] At the p mold coating shedding monitoring nodes, an X-ray fluorescence thickness gauge is used to perform detection to obtain a mold coating shedding percentage;

[0055] Whether to perform mold coating filling is determined by the mold coating shedding percentage.

[0056] Mold coating filling requires determining the mold coating shedding area, so an X-ray fluorescence thickness gauge is needed for detection. The X-ray fluorescence thickness gauge is an instrument for measuring the thickness of the coating on the surface of an object. The thickness of the coating is determined by using X-ray fluorescence technology. The mold coating shedding percentage refers to the percentage of the mold surface coating shedding in a specific area, which can be measured by tools such as an X-ray fluorescence thickness gauge.

[0057] If it is detected that the mold coating shedding percentage exceeds a certain threshold (not less than 60%), coating repair is required, that is, filling the detached coating part; by setting the lubricant application cycle, monitoring the mold coating shedding situation, and judging whether coating repair is needed based on the shedding percentage, and filling the detached coating part in time, the performance of the mold and the quality of the aluminum foil lunch box can be effectively maintained.

[0058] The embodiment of the present application also includes:

[0059] Using the first demoulding direction, the lubricant application cycle and the mold coating repair cycle are associated and marked to obtain a demoulding direction-lubricant application cycle & mold coating repair cycle association mapping;

[0060] In the demoulding direction-lubricant application cycle & mold coating repair cycle association mapping, the mold coating repair cycles are sorted in order from long to short to obtain a sorting association mapping;

[0061] In the primary sorting association map, a secondary sorting is performed in the order of the lubricant application cycles from long to short to obtain a secondary sorting association map;

[0062] The demoulding direction that is at the first position in the secondary sorting association map is taken as the optimal demoulding direction.

[0063] In the primary sorting association mapping, a secondary sorting is performed in the order of the lubricant application cycles from long to short to obtain a secondary sorting association mapping. The embodiment of the present application further includes:

[0064] After obtaining the primary sorting association mapping, the mold coating repair cycle is used as a sorting locking constraint to set the secondary sorting rules;

[0065] Under the limitation of the secondary sorting rule, the primary sorting association mapping is grouped to obtain secondary sorting groups;

[0066] In each of the secondary sorting groups, secondary sorting is performed in the order of the lubricant application period from long to short, to obtain a secondary sorting association map.

[0067] The aluminum foil lunch box is demoulded using the first demoulding direction to obtain a lubricant application cycle and a mold coating repair cycle with the first demoulding direction mark; the lubricant application cycle and the mold coating repair cycle are associated and marked using the first demoulding direction to obtain a demoulding direction-lubricant application cycle & mold coating repair cycle association mapping;

[0068] Prioritize, reduce the number of times of mold coating repair, can reduce to a certain extent the production stagnation caused by stopping the production of aluminum foil lunch boxes due to the step of performing coating repair (compared with lubricant coating, coating repair takes longer, generally not less than 5 minutes); therefore, according to the length of the mold coating repair cycle, the demoulding direction-lubricant coating cycle & mold coating repair cycle association mapping is sorted to obtain a sorted association mapping;

[0069] Secondly, reducing the number of times the lubricant is applied can reduce to a certain extent the production stagnation caused by stopping the production of aluminum foil lunch boxes due to the step of performing mold maintenance (the lubricant is applied by spraying, and the time required for the lubricant application is short, generally not more than 10S); therefore, the first-order association mapping is secondary-sorted according to the length of the lubricant application cycle to obtain a secondary-order association mapping;

[0070] The optimal demoulding direction refers to the demoulding direction that is ranked first in the secondary sorting association mapping obtained through the above sorting, and is the best choice with the least number of mold coating repair times and lubricant application times. Through association mapping and sorting, the most suitable demoulding direction can be selected more reasonably, thereby improving production efficiency and product quality, reducing downtime for maintenance, reducing production costs, and ensuring production stability.

[0071] First, the number of times the mold coating is repaired is reduced; secondly, the number of times the lubricant is applied is reduced; and it also includes that, compared with lubricant application, coating repair takes longer time, so, in the sorting process, after obtaining a first sorting association mapping, the mold coating repair cycle is used as a sorting locking constraint, and a secondary sorting rule is set. The secondary sorting rule is a rule formulated under the sorting locking constraint, which is used to sort the mold coating for a second time according to the order of the lubricant application cycle from long to short; under the limitation of the secondary sorting rule, the first sorting association mapping is grouped to obtain a secondary sorting group, and at the same time, the mold coating repair cycle in the same group in the secondary sorting group is consistent; then, within each group of the secondary sorting group, a secondary sorting is performed according to the order of the lubricant application cycle from long to short to obtain a secondary sorting association mapping, and the production efficiency is maximized by sorting and associating the coating maintenance cycle and the lubricant application cycle.

[0072] Before the lubricant application cycle and the mold coating repair cycle are associated and marked, the embodiment of the present application further includes:

[0073] Get the cluster evaluation formula for mold coating thickness:

[0074] ;

[0075] ;

[0076] in, Used to characterize the coating thickness evaluation results when the mold coating is thickened by 1 unit from u. Used to characterize the mold coating repair cycle with coating thickness u, Used to characterize the standard deviation of coating thickness u, Used to characterize the coating thickness Mold coating repair cycle, Used to characterize the coating thickness The standard deviation of coating thickness.

[0077] After multiple verifications and according to the proportional relationship, a cluster evaluation formula for the thickness of the mold coating is constructed, wherein the cluster evaluation formula for the thickness of the mold coating is used to evaluate whether the thickness value of the mold coating reaches the optimum;

[0078] It is used to characterize the coating thickness evaluation result when the mold coating is thickened by 1 unit from u. The change of coating performance can be evaluated according to the increase of mold coating thickness; It is used to characterize the mold coating repair cycle with a coating thickness of u, which refers to the cycle or time interval for mold coating repair when the coating thickness is u; It is used to characterize the standard deviation of coating thickness with coating thickness u, and is used to measure the uniformity of coating thickness u;

[0079] Used to characterize the coating thickness The mold coating repair cycle refers to the time when the coating thickness is (1 unit thickening from u), the cycle or time interval for mold coating repair; Used to characterize the coating thickness The coating thickness standard deviation is used to measure the coating thickness The uniformity of the mold coating is evaluated; the correlation between the mold coating thickness and the repair cycle is evaluated to better understand the performance of the mold coating at different coating thicknesses. Through the evaluation, the mold coating thickness can be more reasonably selected for repair.

[0080] In summary, the aluminum foil lunch box demoulding control optimization method and system provided in the embodiments of the present application have the following technical effects:

[0081] 1. Due to the adoption of production data collection to obtain production process parameters; setting up an aluminum foil lunch box production information chain; obtaining aluminum foil lunch box quality standards; determining the demoulding control coordinate points on the surface of the aluminum foil lunch box; classifying and aggregating to obtain m classified aggregated coordinate centers; taking the aluminum foil lunch box quality standard as the reference line, optimizing and regulating in the order of the aluminum foil lunch box quality deviation from large to small, this application provides an aluminum foil lunch box demoulding control optimization method and system, establishes an aluminum foil lunch box production information chain, classifies and aggregates demoulding control coordinate points, and makes full use of the data generated in the production process to optimize the control strategy, thereby achieving the technical effect of optimizing and regulating according to the quality standards, reducing the size deviation and surface defects of the aluminum foil lunch box, improving the demoulding control accuracy, ensuring the demoulding control effect, and thus improving the quality of the aluminum foil lunch box.

[0082] 2. Since a demoulding force sensor is installed on the mold of the aluminum foil lunch box, monitoring and collection are carried out simultaneously to obtain a demoulding force data set, and the elements in the demoulding force data set have demoulding coordinate marks; a point is randomly selected in the corner area of ​​the aluminum foil lunch box as the first demoulding coordinate, and the Lth demoulding coordinate is determined along the spatial diagonal of the first demoulding coordinate; the first demoulding coordinate and the Lth demoulding coordinate are connected to obtain the first demoulding direction, and the first demoulding direction corresponds to the first demoulding force data one by one. By monitoring and analyzing the demoulding force data, the demoulding process of the aluminum foil lunch box can be more accurately controlled to reduce the defective rate in production, thereby improving production efficiency. At the same time, by associating the demoulding force data and the demoulding coordinate information, the quality of the aluminum foil lunch box can be better controlled to ensure that each product meets the specification requirements.

[0083] Embodiment 2

[0084] Based on the same inventive concept as the aluminum foil lunch box demoulding control optimization method in the above embodiment, Figure 3 As shown, the embodiment of the present application provides an aluminum foil lunch box demoulding control optimization system, wherein the system comprises:

[0085] The production process parameter collection module 100 is used to collect production data during the operation of the aluminum foil lunch box production line to obtain production process parameters, wherein the production process parameters include mold temperature, aluminum foil material temperature, and demoulding force;

[0086] The production information chain setting module 200 is used to set the aluminum foil lunch box production information chain according to the aluminum foil lunch box production process and the production process parameters, wherein the aluminum foil lunch box production information chain includes K production stages, and K is a positive integer greater than or equal to 2;

[0087] The quality standard acquisition module 300 is used to acquire the quality standard of the aluminum foil lunch box, wherein the quality standard of the aluminum foil lunch box includes the surface flatness of the aluminum foil and the size accuracy of the aluminum foil lunch box;

[0088] A demoulding control coordinate point determination module 400 is used to determine the demoulding control coordinate points on the surface of the aluminum foil lunch box according to the aluminum foil lunch box quality standard, wherein the demoulding control coordinate points include n production process parameters;

[0089] A coordinate point classification and aggregation module 500 is used to classify and aggregate the demoulding control coordinate points according to the aluminum foil lunch box production information chain surface to obtain m classification and aggregation coordinate centers;

[0090] The optimization and control module 600 is used to optimize and control the K production stages in the aluminum foil lunch box production process according to the order of the aluminum foil lunch box quality deviations corresponding to the m classification aggregation coordinate centers from large to small, using the aluminum foil lunch box quality standard as a guideline.

[0091] Furthermore, the optimization and control module 600 is also used to perform the following steps:

[0092] A demoulding force sensor is installed on the mold of the aluminum foil lunch box, and monitoring and collecting are performed simultaneously to obtain a demoulding force data set, wherein the elements in the demoulding force data set have demoulding coordinate marks;

[0093] Select any point in the corner area of ​​the aluminum foil lunch box as the first demoulding coordinate, and determine the Lth demoulding coordinate along the spatial diagonal line of the first demoulding coordinate;

[0094] The first demoulding coordinate and the Lth demoulding coordinate are connected to obtain a first demoulding direction, and the first demoulding direction corresponds to the first demoulding force data one by one.

[0095] Furthermore, the optimization and control module 600 is also used to perform the following steps:

[0096] Before the demoulding force sensor starts monitoring and collecting, refer to the historical demoulding force data, and use a step pressure source to perform a calibration based on the accuracy of the sensor;

[0097] After the demoulding force sensor is calibrated once, a secondary calibration is performed using a standard pressure sensor based on the accuracy of the sensor to complete the calibration of the demoulding force sensor.

[0098] The aluminum foil lunch box demoulding control optimization system also includes:

[0099] Using the historical demoulding force data, a demoulding force variation curve is drawn, wherein the horizontal axis of the demoulding force variation curve is the number of times the mold of the aluminum foil lunch box is demoulded;

[0100] Obtaining p lubricant application nodes, wherein the lubricant application nodes include lubricant application time information;

[0101] The lubricant application node is embedded in the demoulding force variation curve, and p+1 lubricant application cycles are calculated;

[0102] Based on the p+1 lubricant application cycles, marking a mold coating repair cycle; and

[0103] During the mold coating repair cycle, the mold of the aluminum foil lunch box is shut down and the mold coating is filled.

[0104] The aluminum foil lunch box demoulding control optimization system also includes:

[0105] Based on the p lubricant application nodes, p mold coating shedding monitoring nodes are set;

[0106] At the p mold coating shedding monitoring nodes, an X-ray fluorescence thickness gauge is used to perform detection to obtain a mold coating shedding percentage;

[0107] Whether to perform mold coating filling is determined by the mold coating shedding percentage.

[0108] The aluminum foil lunch box demoulding control optimization system also includes:

[0109] Using the first demoulding direction, the lubricant application cycle and the mold coating repair cycle are associated and marked to obtain a demoulding direction-lubricant application cycle & mold coating repair cycle association mapping;

[0110] In the demoulding direction-lubricant application cycle & mold coating repair cycle association mapping, the mold coating repair cycles are sorted in order from long to short to obtain a sorting association mapping;

[0111] In the primary sorting association map, a secondary sorting is performed in the order of the lubricant application cycles from long to short to obtain a secondary sorting association map;

[0112] The demoulding direction that is at the first position in the secondary sorting association map is taken as the optimal demoulding direction.

[0113] The aluminum foil lunch box demoulding control optimization system also includes:

[0114] Get the cluster evaluation formula for mold coating thickness:

[0115] ;

[0116] ;

[0117] in, Used to characterize the coating thickness evaluation results when the mold coating is thickened by 1 unit from u. Used to characterize the mold coating repair cycle with coating thickness u, Used to characterize the standard deviation of coating thickness u, Used to characterize the coating thickness Mold coating repair cycle, Used to characterize the coating thickness The standard deviation of coating thickness.

[0118] The aluminum foil lunch box demoulding control optimization system also includes:

[0119] After obtaining the primary sorting association mapping, the mold coating repair cycle is used as a sorting locking constraint to set the secondary sorting rules;

[0120] Under the limitation of the secondary sorting rule, the primary sorting association mapping is grouped to obtain secondary sorting groups;

[0121] In each of the secondary sorting groups, secondary sorting is performed in the order of the lubricant application period from long to short, to obtain a secondary sorting association map.

[0122] Any step of the method described above can be stored as a computer instruction or program in an unlimited computer memory, and can be called and recognized by an unlimited computer processor to implement any method in the embodiments of the present application, without any unnecessary restrictions.

[0123] Furthermore, the first or second mentioned above may not only represent an order relationship, but may also represent a specific concept, and / or refer to multiple elements that can be selected individually or in full. Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. Aluminum foil lunch box demoulding control optimization method, characterized in that: The method comprises: During the operation of the aluminum foil lunch box production line, production data is collected to obtain production process parameters, wherein the production process parameters include mold temperature, aluminum foil material temperature, and demoulding force; According to the aluminum foil lunch box production process and the production process parameters, an aluminum foil lunch box production information chain is set, wherein the aluminum foil lunch box production information chain includes K production stages, and K is a positive integer greater than or equal to 2; Obtaining quality standards for aluminum foil lunch boxes, wherein the quality standards for aluminum foil lunch boxes include surface flatness of the aluminum foil and dimensional accuracy of the aluminum foil lunch boxes; According to the aluminum foil lunch box quality standard, determining the demoulding control coordinate points on the surface of the aluminum foil lunch box, wherein the demoulding control coordinate points include n production process parameters; Classify and aggregate the demoulding control coordinate points according to the aluminum foil lunch box production information chain surface to obtain m classified aggregated coordinate centers; Taking the aluminum foil lunch box quality standard as the reference line, optimizing and regulating the K production stages in the aluminum foil lunch box production process according to the order of the aluminum foil lunch box quality deviations corresponding to the m classification aggregation coordinate centers from large to small; Wherein, a demoulding force sensor is installed on the mold of the aluminum foil lunch box, and the method comprises: Before the demoulding force sensor starts monitoring and collecting, refer to the historical demoulding force data, and use a step pressure source to perform a calibration based on the accuracy of the sensor; After the demoulding force sensor is calibrated once, a standard pressure sensor is used to perform a secondary calibration based on the accuracy of the sensor to complete the calibration of the demoulding force sensor; Wherein, the method further comprises: Using the historical demoulding force data, a demoulding force variation curve is drawn, wherein the horizontal axis of the demoulding force variation curve is the number of times the mold of the aluminum foil lunch box is demoulded; Obtaining p lubricant application nodes, wherein the lubricant application nodes include lubricant application time information; The lubricant application node is embedded in the demoulding force variation curve, and p+1 lubricant application cycles are calculated; Based on the p+1 lubricant application cycles, marking a mold coating repair cycle; and During the mold coating repair period, the mold of the aluminum foil lunch box is shut down and the mold coating is filled; Wherein, based on the p+1 lubricant application cycles, marking the mold coating repair cycle, the method comprises: Based on the p lubricant application nodes, p mold coating shedding monitoring nodes are set; At the p mold coating shedding monitoring nodes, an X-ray fluorescence thickness gauge is used to perform detection to obtain a mold coating shedding percentage; According to the mold coating shedding percentage, it is determined whether to perform mold coating filling; Wherein, the method comprises: Using the first demoulding direction, the lubricant application cycle and the mold coating repair cycle are associated and marked to obtain a demoulding direction-lubricant application cycle & mold coating repair cycle association mapping; In the demoulding direction-lubricant application cycle & mold coating repair cycle association mapping, the mold coating repair cycles are sorted in order from long to short to obtain a sorting association mapping; In the primary sorting association map, a secondary sorting is performed in the order of the lubricant application cycles from long to short to obtain a secondary sorting association map; The demoulding direction at the first position in the secondary sorting association map is taken as the optimal demoulding direction; Before the lubricant application cycle and the mold coating repair cycle are associated and marked, the method further includes: Get the cluster evaluation formula for mold coating thickness: ； ； The mold coating thickness clustering evaluation formula is used to evaluate whether the thickness value of the mold coating has reached the optimal value; wherein, It is used to characterize the coating thickness evaluation result when the mold coating is thickened by 1 unit from u. The change of coating performance can be evaluated according to the increase of mold coating thickness; It is used to characterize the mold coating repair cycle with a coating thickness of u, which refers to the cycle or time interval for mold coating repair when the coating thickness is u; It is used to characterize the standard deviation of coating thickness with coating thickness u, and is used to measure the uniformity of coating thickness u; The mold coating repair cycle for characterizing the coating thickness u+1 refers to the cycle or time interval for mold coating repair when the coating thickness increases by 1 unit from u; Used to characterize the coating thickness The standard deviation of coating thickness u+1 is used to measure the uniformity of coating thickness u+1.

2. The method for optimizing the demoulding control of an aluminum foil lunch box according to claim 1, characterized in that: The K production stages are optimized and regulated in the production process of the aluminum foil lunch box, and the method further comprises: A demoulding force sensor is installed on the mold of the aluminum foil lunch box, and monitoring and collecting are performed simultaneously to obtain a demoulding force data set, wherein the elements in the demoulding force data set have demoulding coordinate marks; Select any point in the corner area of ​​the aluminum foil lunch box as the first demoulding coordinate, and determine the Lth demoulding coordinate along the spatial diagonal line of the first demoulding coordinate; The first demoulding coordinate and the Lth demoulding coordinate are connected to obtain a first demoulding direction, and the first demoulding direction corresponds to the first demoulding force data one by one.

3. The method for optimizing the demoulding control of an aluminum foil lunch box according to claim 1, characterized in that: In the primary sorting association mapping, secondary sorting is performed in the order of the lubricant application cycles from long to short to obtain a secondary sorting association mapping, and the method includes: After obtaining the primary sorting association mapping, the mold coating repair cycle is used as a sorting locking constraint to set the secondary sorting rules; Under the limitation of the secondary sorting rule, the primary sorting association mapping is grouped to obtain secondary sorting groups; In each of the secondary sorting groups, secondary sorting is performed in the order of the lubricant application period from long to short, to obtain a secondary sorting association map.

4. Aluminum foil lunch box demoulding control optimization system, characterized by: The method for optimizing the demoulding control of an aluminum foil lunch box according to any one of claims 1 to 3 comprises: A production process parameter collection module is used to collect production data during the operation of the aluminum foil lunch box production line to obtain production process parameters, wherein the production process parameters include mold temperature, aluminum foil material temperature, and demoulding force; A production information chain setting module, used to set the aluminum foil lunch box production information chain according to the aluminum foil lunch box production process and the production process parameters, wherein the aluminum foil lunch box production information chain includes K production stages, and K is a positive integer greater than or equal to 2; A quality standard acquisition module is used to acquire the quality standard of the aluminum foil lunch box, wherein the quality standard of the aluminum foil lunch box includes the surface flatness of the aluminum foil and the size accuracy of the aluminum foil lunch box; A demoulding control coordinate point determination module, used to determine the demoulding control coordinate points on the surface of the aluminum foil lunch box according to the aluminum foil lunch box quality standard, wherein the demoulding control coordinate points include n production process parameters; A coordinate point classification and aggregation module, used for classifying and aggregating the demoulding control coordinate points according to the aluminum foil lunch box production information chain surface, and obtaining m classification and aggregation coordinate centers; The optimization and control module is used to optimize and control the K production stages in the aluminum foil lunch box production process according to the order of the aluminum foil lunch box quality deviations corresponding to the m classification aggregation coordinate centers from large to small, using the aluminum foil lunch box quality standard as a guideline.

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