A plastic cup injection molding intelligent monitoring control system

Abstract

The present application relates to the technical field of plastic cup injection molding, and particularly discloses an intelligent monitoring and control system for plastic cup injection molding, which comprises a nozzle position alignment module, a raw material flow abnormality analysis module, a mold temperature adjustment module, a pressure maintaining duration control module, a molding quality analysis module, a nozzle temperature adjustment module and a database; the present application monitors and analyzes each process in the plastic cup injection molding, and controls possible abnormal conditions in each process, i.e. nozzle position alignment, mold temperature adjustment, pressure maintaining duration control and nozzle temperature adjustment, thereby improving the timeliness of abnormal condition discovery and processing in the plastic cup injection molding process, improving the molding quality of the plastic cup, further optimizing the process parameters, avoiding affecting the overall quality and production efficiency of the product, reducing the scrap rate of the plastic cup, and thus reducing the production cycle.

Description

Technical Field

[0001] This invention relates to the field of plastic cup injection molding technology, and more specifically, to an intelligent monitoring and control system for plastic cup injection molding. Background Technology

[0002] Traditional injection molding processes often require manual monitoring and adjustment of various parameters, which is not only inefficient but also prone to errors. With the development of intelligent technologies, more and more injection molding companies are seeking automated and intelligent solutions. However, most intelligent monitoring and control systems currently on the market for injection molding have limited functions and cannot meet the diverse needs of plastic cup production.

[0003] Specifically, the existing technology has the following problems: 1. Although a monitoring and control system is used in injection molding, most of the existing monitoring and control systems only focus on local areas and do not monitor and analyze each process in the injection molding of plastic cups. At the same time, they do not control any abnormal situations that may exist in each process, making it difficult to detect and deal with various abnormal situations in the injection molding process of plastic cups in a timely manner, which reduces the molding quality of plastic cups.

[0004] 2. Most existing equipment relies on mechanical installation precision and lacks the function of real-time visual inspection and automatic compensation during the production process. During the injection process, it only requires the injection nozzle to be aligned with the mold for injection, without accurately analyzing the positional deviation between the injection nozzle and the mold, which means that there is still a certain degree of error in the alignment between the two.

[0005] 3. Traditional PLC control often keeps the mold temperature at a fixed setpoint. The mold temperature is constant and does not dynamically adjust according to the ejection state of the raw material in the injection nozzle. This fails to meet the diverse needs of mold temperature control and reduces the accuracy of mold temperature regulation. Similarly, the holding time of the current mold is often set to a fixed value. It does not dynamically adjust the holding time according to the deviation of mold temperature and raw material quantity. This fails to meet the holding time requirements of each mold and may lead to uneven wall thickness, unstable dimensions, or surface defects in plastic cups. An unreasonable holding time setting may cause the injection molding machine to consume too much energy during the holding stage, which not only increases production costs but also imposes an unnecessary burden on the environment. Summary of the Invention

[0006] In view of this, in order to solve the problems mentioned in the background technology, an intelligent monitoring and control system for plastic cup injection molding is proposed.

[0007] The objective of this invention can be achieved through the following technical solution: This invention provides an intelligent monitoring and control system for injection molding of plastic cups, comprising: a nozzle position alignment module, used to acquire bottom images of each nozzle in the target injection molding machine in the current production batch and mold images corresponding to each nozzle, to obtain the bottom position of each nozzle and the center point position of the mold corresponding to each nozzle, to analyze the positional accuracy between each nozzle in the target injection molding machine and its corresponding mold, and to adjust the position of each nozzle in the target injection molding machine.

[0008] The raw material flow anomaly analysis module is used to extract the set raw material ejection volume and actual raw material ejection volume of each nozzle in the target injection molding machine in the current production batch during each monitoring time period, and analyze the raw material flow anomaly index corresponding to each nozzle in the target injection molding machine in the current production batch.

[0009] The mold temperature adjustment module is used to compare the raw material flow abnormality index corresponding to each nozzle in the target injection molding machine in the current production batch with the set value. If the raw material flow abnormality index corresponding to a certain nozzle is greater than the set value, the nozzle is recorded as the target nozzle, and the mold temperature of the mold corresponding to each target nozzle in the target injection molding machine is adjusted.

[0010] The pressure holding time control module is used to extract the baseline pressure holding time of the mold in the target production line under the set mold temperature and the set amount of raw material, and to extract the current mold temperature and the current amount of raw material of each mold in the current production batch, and to control the pressure holding time of each mold in the current production batch.

[0011] The molding quality analysis module is used to collect images of each molded plastic cup in the current production batch after the plastic cup is removed from the mold, obtain the molding information of the plastic cup, and analyze the molding quality coefficient of each molded plastic cup in the current production batch.

[0012] The nozzle temperature adjustment module is used to identify each defective plastic cup in the current production batch and adjust the temperature of the nozzle corresponding to each defective plastic cup in the next production batch.

[0013] The database stores the appropriate mold temperature corresponding to each raw material flow anomaly index, the reference floating holding time corresponding to the unit mold temperature deviation and the unit raw material quantity deviation, and the appropriate nozzle temperature corresponding to each molding quality.

[0014] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention monitors and analyzes each process of plastic cup injection molding and controls the abnormal situations that may exist in each process, thereby improving the timeliness of abnormal situation detection and handling in the plastic cup injection molding process and improving the molding quality of plastic cup.

[0015] (2) By analyzing the positional accuracy between each nozzle in the target injection molding machine and its corresponding mold, and by adjusting the position of each nozzle in the target injection molding machine, the present invention reduces the alignment error between the nozzle and its corresponding mold, reduces the waste of raw materials during the injection process, and saves production costs.

[0016] (3) This invention improves the accuracy of raw material flow state analysis by combining the uniformity and stability of raw material ejection in the nozzle, realizes dynamic adjustment of mold temperature, meets the diverse needs of mold temperature, and improves the accuracy of mold temperature control.

[0017] (4) The present invention dynamically adjusts the holding time according to the mold temperature deviation and the raw material quantity deviation to meet the holding time requirements of each mold, and avoids the uneven wall thickness, unstable size or surface defects of plastic cups caused by the fixed holding time. The reasonable holding time setting can avoid the injection molding machine consuming too much energy in the holding stage and avoid causing unnecessary burden on the environment.

[0018] (5) This invention evaluates whether the nozzle temperature of the next production batch needs to be adjusted by combining the molding quality of the plastic cups of the current production batch, and further optimizes the process parameters, thereby avoiding affecting the overall quality and production efficiency of the product, reducing the scrap rate of plastic cups, and thus reducing the production cycle. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a schematic diagram of the system module structure connection of the present invention.

[0021] Figure 2 This is a flowchart of the nozzle position control process of the present invention.

[0022] Figure 3 This is a schematic diagram showing the nozzle position alignment of the present invention.

[0023] Attached image descriptions: 1. Nozzle; 2. Mold. Detailed Implementation

[0024] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] Please see Figure 1 As shown, the present invention provides an intelligent monitoring and control system for injection molding of plastic cups, including: a nozzle position alignment module, a raw material flow anomaly analysis module, a mold temperature adjustment module, a holding pressure duration control module, a molding quality analysis module, a nozzle temperature adjustment module, and a database.

[0026] The nozzle position alignment module is connected to the raw material flow anomaly analysis module, the raw material flow anomaly analysis module is connected to the mold temperature adjustment module, the mold temperature adjustment module is connected to the holding pressure duration control module, the holding pressure duration control module is connected to the molding quality analysis module, the molding quality analysis module is connected to the nozzle temperature adjustment module, and all three modules are connected to the database.

[0027] Please see Figure 3 As shown, the nozzle position alignment module is used to acquire the bottom image of each nozzle in the target injection molding machine in the current production batch and the mold image corresponding to each nozzle, respectively obtain the bottom position of each nozzle and the center point position of the mold corresponding to each nozzle, analyze the positional accuracy between each nozzle in the target injection molding machine and its corresponding mold, and adjust the position of each nozzle in the target injection molding machine.

[0028] It should be noted that the bottom images of each nozzle in the target injection molding machine in the current production batch and the mold images corresponding to each nozzle are obtained by a miniature camera placed near the bottom of each nozzle and a high-definition camera above the injection table, respectively.

[0029] In a specific embodiment of the present invention, the specific process of analyzing the positional accuracy between each nozzle and its corresponding mold in the target injection molding machine is as follows: A1. Map the center point position of the bottom of each nozzle to the plane where the corresponding mold is located, and obtain the mapping point of each nozzle on the plane where its corresponding mold is located.

[0030] A2. Select a point from the mold corresponding to each nozzle, and establish a two-dimensional rectangular coordinate system for the mold corresponding to each nozzle, with the horizontal direction as the x-axis and the vertical direction as the y-axis. Obtain the coordinate values ​​of the mapping point of each nozzle on the plane of its corresponding mold, and denote them as follows: ,in, Indicates the nozzle number. .

[0031] A3. Obtain the coordinates of the center point of the mold corresponding to each nozzle, and record them as follows: .

[0032] A4. Calculate the positional accuracy between each nozzle in the target injection molding machine and its corresponding mold. , ,in, and These represent setting permissions. shaft and The position offset value corresponding to the axis.

[0033] Please see Figure 2 As shown, in a specific embodiment of the present invention, the specific process of adjusting the position of each nozzle in the target injection molding machine is as follows: B1. Compare the positional accuracy between each nozzle in the target injection molding machine and its corresponding mold with the positional accuracy of the set reference. If the positional accuracy between a nozzle and its corresponding mold is greater than or equal to the positional accuracy of the set reference, it indicates that the position of the nozzle is aligned and no positional adjustment is required.

[0034] B2. If the positional accuracy between a nozzle and its corresponding mold is less than the set reference positional accuracy, it indicates that the nozzle is not aligned and the nozzle control center is immediately notified to automatically adjust the nozzle position.

[0035] This invention reduces the alignment error between the nozzles and their corresponding molds by analyzing the positional accuracy between each nozzle in the target injection molding machine and adjusting the position of each nozzle in the target injection molding machine, thereby reducing the waste of raw materials during the injection process and saving production costs.

[0036] The raw material flow anomaly analysis module is used to extract the set raw material ejection volume and actual raw material ejection volume of each nozzle in the target injection molding machine in the current production batch during each monitoring time period, and to analyze the raw material flow anomaly index corresponding to each nozzle in the target injection molding machine in the current production batch.

[0037] It should be noted that the set material ejection volume and actual material ejection volume of each nozzle in the target injection molding machine in the current production batch during each monitoring time period are extracted from the setting panel of the target injection molding machine and the flow meter installed at each nozzle, respectively.

[0038] In a specific embodiment of the present invention, the specific process of analyzing the raw material flow anomaly index corresponding to each nozzle in the target injection molding machine in the current production batch is as follows: C1. Based on the set raw material ejection volume and actual raw material ejection volume of each nozzle in the target injection molding machine in the current production batch during each monitoring time period, calculate the raw material ejection uniformity corresponding to each nozzle in the target injection molding machine. and raw material spraying stability .

[0039] It should be noted that the specific process for calculating the uniformity of material ejection from each nozzle in the target injection molding machine is as follows: The actual material ejection amount from each nozzle in the target injection molding machine during each monitoring time period in the current production batch is recorded as... ,in, Indicates the number of the monitoring period. .

[0040] Calculate the number of injection molding machines in the target injection molding machine in the current production batch. The nozzle at the first Actual raw material ejection volume during each monitoring period and The absolute difference in ejection volume is calculated, and the mean of the absolute difference in ejection volume of all nozzles in each monitoring time period is calculated. The relative deviation between the set reference material ejection volume deviation and this mean value is used as the material ejection uniformity corresponding to each nozzle in the target injection molding machine. .

[0041] It should be noted that the specific process for calculating the material ejection stability of each nozzle in the target injection molding machine is as follows: The difference between the set material ejection amount and the actual material ejection amount of each nozzle in the target injection molding machine during each monitoring time period in the current production batch is calculated to obtain the material ejection amount deviation of each nozzle during each monitoring time period. This deviation is then compared with the set reference material ejection amount deviation. If the material ejection amount deviation of a certain monitoring time period is greater than or equal to the set reference material ejection amount deviation, this monitoring time period is recorded as an abnormal time period. The number of abnormal time periods corresponding to each nozzle in the target injection molding machine in the current production batch is counted and recorded as... .

[0042] Calculate the ratio of the number of abnormal time periods to the number of monitored time periods for each nozzle in the target injection molding machine in the current production batch, and use the relative deviation of this ratio from the set reference percentage of abnormal time periods as the material ejection stability for each nozzle in the target injection molding machine. .

[0043] C2. Calculate the raw material flow anomaly index for each nozzle in the target injection molding machine within the current production batch. , ,in, and These represent the weights of the raw material ejection uniformity and raw material ejection stability in the assessment of raw material flow anomalies, respectively. .

[0044] In a specific embodiment of the present invention, The value is set to 0.5. The value is set to 0.5. In actual production, the uniformity and stability of raw material ejection are often interrelated. If either of them malfunctions, it can lead to abnormalities in the entire injection molding process. Therefore, both factors need to be considered when calculating the raw material flow anomaly index.

[0045] The mold temperature adjustment module is used to compare the raw material flow abnormality index corresponding to each nozzle in the target injection molding machine in the current production batch with the set value. If the raw material flow abnormality index corresponding to a certain nozzle is greater than the set value, the nozzle is recorded as the target nozzle, and the mold temperature of the mold corresponding to each target nozzle in the target injection molding machine is adjusted.

[0046] In a specific embodiment of the present invention, the specific process of adjusting the mold temperature of the mold corresponding to each target nozzle in the target injection molding machine is as follows: extract the raw material flow abnormality index corresponding to each target nozzle in the target injection molding machine, and match and compare it with the mold temperature corresponding to each raw material flow abnormality index stored in the database to obtain the mold temperature corresponding to each target nozzle in the target injection molding machine, and adjust the mold temperature of each target nozzle to the corresponding mold temperature.

[0047] This invention improves the accuracy of raw material flow analysis by combining the uniformity and stability of raw material ejection from the nozzle, enabling dynamic adjustment of the mold temperature, meeting diverse mold temperature requirements, and enhancing the accuracy of mold temperature control.

[0048] The pressure holding time control module is used to extract the benchmark pressure holding time of the mold in the target production line under the set mold temperature and the set amount of raw material, and to extract the current mold temperature and the current amount of raw material of each mold in the current production batch, and to control the pressure holding time of each mold in the current production batch.

[0049] It should be noted that the reference holding time for the mold in the target production line with the set mold temperature and the set amount of raw material is extracted from the production requirements of the target production line. The current mold temperature and current amount of raw material of each mold in the current production batch are obtained by an infrared temperature measuring instrument and a weight sensor installed under each mold, respectively.

[0050] In a specific embodiment of the present invention, the specific process of controlling the holding time of each mold in the current production batch is as follows: D1, the baseline holding time of the mold in the target production line with the set raw material quantity under the set mold temperature condition is recorded as... .

[0051] D2. Record the current mold temperature and current raw material quantity for each mold in the current production batch as follows: and ,in, Indicates the mold number, .

[0052] D3. Record the set mold temperature and set raw material quantity of the mold in the target production line as follows: and .

[0053] D4. Extract the reference floating holding time corresponding to the unit mold temperature deviation and unit raw material quantity deviation from the database, and record them as follows: and .

[0054] D5. Set the holding time for each mold in the current production batch. , .

[0055] This invention dynamically adjusts the holding time based on mold temperature deviation and raw material quantity deviation to meet the holding time requirements of each mold. This avoids uneven wall thickness, unstable dimensions, or surface defects in plastic cups caused by a fixed holding time. A reasonable holding time setting can prevent the injection molding machine from consuming too much energy during the holding stage, thus avoiding unnecessary burden on the environment.

[0056] Among these, the appropriate injection mold temperature range for the raw material is extracted from the raw material technical specifications provided by the raw material supplier (e.g., the temperature range corresponding to PET mold raw materials). The reference range is 45-60℃; the raw material consumption coefficient per unit volume product (e.g., 20g of raw material is required per 100mL volume); combined with the designed volume of the plastic cup (e.g., 300mL), the initial raw material consumption is calculated as: raw material consumption = designed volume × consumption coefficient. (e.g., 300mL × 20g / 100mL = 60g); Select the median value from the mold temperature range suitable for the raw materials as the initial value. (e.g., 50℃); with initial and Conduct small-batch trial production (e.g., producing 50 molded plastic cups), collect key data during the trial production process, and adjust the production plan if the cup wall thickness deviation exceeds the design standard. When the wall thickness is too thick, reduce the appropriate amount. (e.g., reduce from 60g to 58g), appropriately increase when the wall thickness is too thin. (e.g., from a 60g mold to a 62g mold); if a large number of bubbles appear on the surface of the cup, it is considered... Too low a temperature will cause the raw materials to cool too quickly; increase it appropriately. (For example, increasing the mold temperature from 50℃ to 52℃), and then conducting small-batch trial production again. Continue until all quality indicators of the plastic cups produced in the trial production meet the design standards; then determine the corresponding mold temperature and raw material quantity as the target production line. and The data is then entered into the production control system of the target production line and the database of this invention, serving as a benchmark for subsequent pressure holding time calculations and parameter deviation comparisons.

[0057] The other preset value acquisition processes in this invention are the same as or similar to the methods for obtaining the set mold temperature and set raw material quantity in the target production line. These can all be derived by those skilled in the art through limited experiments and in combination with conventional knowledge in the field, and will not be elaborated on here.

[0058] The molding quality analysis module is used to collect images of each molded plastic cup in the current production batch after the plastic cup is removed from the mold, obtain the molding information of the plastic cup, and analyze the molding quality coefficient of each molded plastic cup in the current production batch.

[0059] It should be noted that the images of each molded plastic cup in the current production batch are obtained by a high-definition camera.

[0060] In a specific embodiment of the present invention, the plastic cup molding information includes the number of bubbles, the volume of each bubble, the number of material flow marks on the surface, and the length of each material flow mark.

[0061] It should be noted that the methods for acquiring the number of bubbles, the volume of each bubble, the number of surface flow marks, and the length of each flow mark are as follows: 1) Image acquisition: A high-resolution industrial camera is used to ensure that the details of the product surface can be captured. 2) Image preprocessing: The acquired images are preprocessed with noise reduction and contrast enhancement to improve the accuracy of subsequent analysis. 3) Bubble detection and counting: Bubble features in the image are extracted using image processing algorithms. Machine learning or deep learning algorithms are applied to classify and identify the extracted features, distinguishing bubbles from other interfering factors. The identified bubbles are counted, and their position and size information are recorded. The bubble volume is estimated based on the bubble diameter or area. 4) Flow mark detection and counting: Flow mark features in the image are identified using image processing technology. The identified flow marks are counted, and their position and length information are recorded.

[0062] In a specific embodiment of the present invention, the specific process of analyzing the molding quality coefficient corresponding to each molded plastic cup in the current production batch is as follows: E1, extract the number of bubbles, the volume of each bubble, the number of surface material flow marks, and the length of each material flow mark from the molding information of each molded plastic cup in the current production batch, and calculate the bubble presence anomaly index corresponding to each molded plastic cup in the current production batch accordingly. and raw material flow mark abnormality index ,in, This indicates the serial number of the molded plastic cup. .

[0063] It should be noted that the specific process for calculating the abnormal bubble index for each molded plastic cup in the current production batch is as follows: the number of bubbles corresponding to each molded plastic cup in the current production batch is recorded as... .

[0064] Extract the maximum value from the bubble volumes of each molded plastic cup in the current production batch, and use this value as the bubble volume for each molded plastic cup in the current production batch, denoted as . .

[0065] calculate and The relative deviation value and and The relative deviation values ​​of the two are used as the sum of the relative deviation values ​​of the two to determine the abnormality index of air bubbles in each molded plastic cup in the current production batch. ,in and These represent the number of bubbles and the volume of the bubbles that are set as a reference, respectively.

[0066] It should be noted that the specific process for calculating the abnormal index of raw material flow marks for each molded plastic cup in the current production batch is as follows: the number of surface raw material flow marks for each molded plastic cup in the current production batch is recorded as... .

[0067] The average length of the flow mark for each molded plastic cup in the current production batch is calculated by averaging the lengths of the flow marks for each molded plastic cup in the current production batch, and is denoted as . .

[0068] Will and absolute deviation value and and The sum of the absolute deviation values ​​is used as the raw material flow mark anomaly index for each molded plastic cup in the current production batch. ,in, and These represent the number and length of the material flow marks on the reference surface, respectively.

[0069] E2. Calculate the molding quality coefficient for each molded plastic cup in the current production batch. , ,in, and These represent the weights of the raw material ejection uniformity and raw material ejection stability in the assessment of raw material flow anomalies, respectively. .

[0070] In a specific embodiment of the present invention, The value is set to 0.5. The value is set to 0.5. When calculating the molding quality coefficient, the effects of raw material ejection uniformity and stability need to be considered comprehensively. If both perform well, the molding quality coefficient will naturally be higher. If one or both perform poorly, the molding process needs to be adjusted and optimized to improve the molding quality coefficient and the overall quality of the product.

[0071] The nozzle temperature adjustment module is used to identify each defective plastic cup in the current production batch and adjust the temperature of the nozzle corresponding to each defective plastic cup in the next production batch.

[0072] In a specific embodiment of the present invention, the method for confirming each defective plastic cup in the current production batch is as follows: the molding quality coefficient corresponding to each molded plastic cup in the current production batch is compared with the set reference molding quality coefficient. If the molding quality coefficient corresponding to a certain molded plastic cup is less than the set reference molding quality coefficient, then the molded plastic cup is recorded as a defective plastic cup, thereby counting each defective plastic cup in the current production batch.

[0073] In a specific embodiment of the present invention, the specific process of adjusting the temperature of the nozzle corresponding to each defective plastic cup in the next production batch is as follows: the molding quality coefficient corresponding to each defective plastic cup is matched with the nozzle temperature corresponding to each molding quality stored in the database to obtain the nozzle temperature corresponding to each defective plastic cup, thereby adjusting the temperature of the nozzle corresponding to each defective plastic cup in the next production batch to the corresponding nozzle temperature.

[0074] This invention assesses whether the nozzle temperature needs adjustment for the next production batch by considering the molding quality of the plastic cups in the current production batch. This further optimizes the process parameters, thereby avoiding impacts on the overall product quality and production efficiency, reducing the scrap rate of plastic cups, and thus shortening the production cycle.

[0075] The database stores the appropriate mold temperature corresponding to each raw material flow anomaly index, the reference floating holding time corresponding to the unit mold temperature deviation and the unit raw material quantity deviation, and the appropriate nozzle temperature corresponding to each molding quality. The data sources in the database of this embodiment are shown in Table 1.

[0076] Table 1. Data Sources in the Database

[0077]

[0078] This invention improves the timeliness of detecting and handling abnormalities in the injection molding process of plastic cups by monitoring and analyzing each process and controlling any possible abnormalities in each process, thereby improving the molding quality of plastic cups.

[0079] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0080] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.

[0081] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0082] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0083] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0084] Finally, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A smart monitoring and control system for injection molding of plastic cups, characterized in that, include: The nozzle position alignment module acquires images of each nozzle of the injection molding machine and its corresponding mold, identifies the center point position of the mold, analyzes the positional accuracy between each nozzle and its corresponding mold, and performs adjustments accordingly. The raw material flow anomaly analysis module analyzes the raw material flow anomaly index based on the set and actual ejection rates of each nozzle at different times. The mold temperature adjustment module compares the raw material flow abnormality index with the set value and adjusts the mold temperature corresponding to the abnormal nozzle. The pressure holding time control module adjusts the pressure holding time of each mold based on the baseline pressure holding time of the set material amount at the set temperature, combined with the current mold temperature and material amount. The molding quality analysis module collects images of molded plastic cups and extracts molding feature information to analyze the molding quality coefficient of each plastic cup. The nozzle temperature adjustment module identifies plastic cups with abnormal quality and adjusts the temperature of the corresponding nozzle in the next batch.

2. The intelligent monitoring and control system for injection molding of plastic cups according to claim 1, characterized in that: Analyze the positional alignment accuracy between each nozzle and its corresponding mold, including: A1. Map the center point of the bottom of each nozzle to the plane where the mold is located, and obtain the mapping point of each nozzle on the plane where the mold is located. A2. Select a point from the mold corresponding to each nozzle, and use this point as the origin, with the horizontal direction as the x-axis and the vertical direction as the y-axis, to establish a two-dimensional rectangular coordinate system for the mold corresponding to each nozzle, and obtain the coordinate values ​​of the mapping point of each nozzle on the plane where its corresponding mold is located. A3. Obtain the coordinates of the center point of the mold corresponding to each nozzle; A4. Based on the deviation between the projection point and the mold center point in the x-axis and y-axis directions, and the preset allowable offset range, calculate the positional accuracy between each nozzle in the target injection molding machine and its corresponding mold.

3. The intelligent monitoring and control system for injection molding of plastic cups according to claim 2, characterized in that: The specific process for adjusting the position of each nozzle in the target injection molding machine is as follows: B1. Compare the positional accuracy between each nozzle in the target injection molding machine and its corresponding mold with the positional accuracy of the set reference. If the positional accuracy between a nozzle and its corresponding mold is greater than or equal to the positional accuracy of the set reference, it indicates that the nozzle is already aligned and no positional adjustment is required. B2. If the positional accuracy between a nozzle and its corresponding mold is less than the set reference positional accuracy, it indicates that the nozzle is not aligned and the nozzle position will be automatically adjusted.

4. The intelligent monitoring and control system for injection molding of plastic cups according to claim 2, characterized in that: The specific process for analyzing the raw material flow anomaly index corresponding to each nozzle in the target injection molding machine is as follows: C1. Based on the set material ejection amount and actual material ejection amount of each nozzle in the target injection molding machine during each monitoring time period, calculate the material ejection uniformity and material ejection stability corresponding to each nozzle in the target injection molding machine. C2. Calculate the raw material flow anomaly index for each nozzle by combining the preset weights for uniformity and stability.

5. The intelligent monitoring and control system for injection molding of plastic cups according to claim 4, characterized in that: The specific process for adjusting the mold temperature of the mold corresponding to each target nozzle in the target injection molding machine is as follows: extract the raw material flow abnormality index corresponding to each target nozzle in the target injection molding machine, and match and compare it with the mold temperature corresponding to each raw material flow abnormality index stored in the database to obtain the mold temperature corresponding to each target nozzle in the target injection molding machine, and adjust the mold temperature of each target nozzle to the corresponding mold temperature.

6. The intelligent monitoring and control system for injection molding of plastic cups according to claim 5, characterized in that: The specific process for controlling the holding time of each mold is as follows: D1. Obtain the baseline holding time of the mold in the target production line with the set amount of raw material under the set mold temperature conditions; D2. Obtain the current mold temperature and current raw material quantity for each mold; D3. Calculate and analyze the temperature deviation and raw material quantity deviation between the current mold temperature and the current raw material quantity of each mold and the set mold temperature and raw material quantity of the corresponding target production line. D4. Extract the reference floating holding time corresponding to the unit mold temperature deviation and unit raw material quantity deviation from the database, and calculate the holding time of each mold based on this.

7. The intelligent monitoring and control system for injection molding of plastic cups according to claim 1, characterized in that: The molding characteristics of plastic cups include the number of bubbles, the volume of each bubble, the number of material flow marks on the surface, and the length of each material flow mark.

8. The intelligent monitoring and control system for injection molding of plastic cups according to claim 7, characterized in that: The specific process for analyzing the molding quality coefficient corresponding to each molded plastic cup is as follows: E1. Extract the number of bubbles, the volume of each bubble, the number of surface material flow marks, and the length of each material flow mark from the molding information of each molded plastic cup, and calculate the bubble presence abnormality index and the material flow mark abnormality index for each molded plastic cup accordingly. E2. Calculate the molding quality coefficient corresponding to each molded plastic cup based on the abnormal index of bubble presence and the abnormal index of raw material flow marks and their preset weights.

9. The intelligent monitoring and control system for injection molding of plastic cups according to claim 8, characterized in that: The method for confirming the quality of each defective plastic cup is as follows: The molding quality coefficient corresponding to each molded plastic cup is compared with the set reference molding quality coefficient. If the molding quality coefficient corresponding to a certain molded plastic cup is less than the set reference molding quality coefficient, the molded plastic cup is recorded as a quality abnormality plastic cup. In this way, the quality abnormality plastic cups are counted.

10. The intelligent monitoring and control system for injection molding of plastic cups according to claim 9, characterized in that: The specific process for adjusting the temperature of the nozzles corresponding to each defective plastic cup in the next production batch is as follows: The molding quality coefficient corresponding to each defective plastic cup is matched with the corresponding nozzle temperature stored in the database to obtain the corresponding nozzle temperature for each defective plastic cup. Then, the temperature of the nozzle corresponding to each defective plastic cup in the next production batch is adjusted to the corresponding nozzle temperature.

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