Intelligent monitoring control system for plastic cup injection molding

Abstract

The invention relates to the technical field of plastic cup injection molding, and particularly discloses a plastic cup injection molding intelligent monitoring control system which comprises a nozzle position alignment module, a raw material flow abnormity 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. By monitoring and analyzing each process in injection molding of the plastic cup and controlling abnormal conditions possibly existing in each process, namely nozzle position alignment, mold temperature adjustment, pressure maintaining duration control and nozzle temperature adjustment, the timeliness of finding and processing the abnormal conditions in the injection molding process of the plastic cup is improved; the forming quality of the plastic cup is improved, and process parameters are further optimized, so that the overall quality and the production efficiency of a product are prevented from being influenced, the rejection rate of the plastic cup is reduced, and the production period is shortened.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of plastic cup injection molding, in particular to a plastic cup injection molding intelligent monitoring control system. BACKGROUND

[0002] In the traditional injection molding process, manual monitoring and adjustment of various parameters are often required, which is not only inefficient but also prone to errors. With the development of intelligent technology, more and more injection molding enterprises are seeking automated and intelligent solutions. However, most of the injection molding intelligent monitoring control systems on the market have single functions and cannot meet the diversified needs of the plastic cup production process.

[0003] Specifically, the existing technology has the following problems: 1. Although monitoring control systems are used during injection molding, most existing monitoring control systems only focus on local monitoring and analysis, and do not control abnormal situations that may occur during the injection molding process of plastic cups. It is difficult to discover and handle 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 real-time visual detection and automatic compensation during production. During the injection process, only the injection nozzle is required to align the mold for injection, and the positional deviation between the injection nozzle and the mold is not analyzed accurately, resulting in some errors in the alignment between the two.

[0005] 3. Traditional PLC control often controls the mold temperature at a fixed set value, and the mold temperature is fixed and unchanged. The mold temperature is not dynamically adjusted according to the ejection state of the raw material in the injection nozzle, which cannot meet the diversity demand of the mold temperature, and reduces the accuracy of the mold temperature regulation. Similarly, the current mold holding time is often set unchanged, and the holding time is not dynamically adjusted according to the mold temperature deviation and the raw material amount deviation, which cannot meet the holding demand of each mold. This may result in uneven wall thickness, unstable size or surface defects of the plastic cup. Unreasonable holding time setting may cause the injection molding machine to consume too much energy during the holding phase, which not only increases the production cost but also causes unnecessary burden to the environment. SUMMARY

[0006] In view of the above problems in the background art, a plastic cup injection molding intelligent monitoring control system is proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides an intelligent monitoring and control system for plastic cup injection molding, including: a nozzle position alignment module, which is used to collect 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 center point position of the bottom of each nozzle and the mold corresponding to each nozzle, analyze the position accuracy between each nozzle in the target injection molding machine and its corresponding mold, and perform position control on each nozzle in the target injection molding machine.

[0008] The raw material flow anomaly analysis module is used to extract the set raw material discharge volume and the actual raw material discharge volume of each nozzle in the target injection molding machine in the current production batch in 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 anomaly 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 anomaly index corresponding to a 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 holding time control module is used to extract the benchmark holding time of the mold in the target production line under the set mold temperature conditions and the set raw material quantity, and extract the current mold temperature and current raw material quantity of each mold in the current production batch to control the holding time of each mold in the current production batch.

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

[0012] The nozzle temperature adjustment module is used to identify the plastic cups with abnormal quality in the current production batch and adjust the temperature of the nozzles corresponding to the plastic cups with abnormal quality in the next production batch.

[0013] The database is used to store the mold temperature corresponding to each raw material flow abnormality index, the reference floating holding time corresponding to the unit mold temperature deviation and the unit raw material quantity deviation, and the 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 the injection molding of plastic cups and controls any abnormal conditions that may exist in each process, thereby improving the timeliness of discovering and handling abnormal conditions in the injection molding process of plastic cups and improving the molding quality of plastic cups.

[0015] (2) The present invention analyzes the position accuracy between each nozzle in the target injection molding machine and its corresponding mold, and adjusts the position of each nozzle in the target injection molding machine, thereby reducing the alignment error between the nozzle and its corresponding mold, reducing the waste of raw materials during the injection process, and saving production costs.

[0016] (3) The present invention conducts a comprehensive analysis of the raw material flow conditions by combining the raw material ejection uniformity and raw material ejection stability in the nozzle, thereby improving the accuracy of the raw material flow state analysis, realizing dynamic adjustment of the mold temperature of the mold, meeting the diverse requirements of the mold temperature, and improving the accuracy of the 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 pressure requirements of each mold and avoid the uneven wall thickness, unstable size or surface defects of the plastic cup caused by the fixed holding time. Reasonable holding time setting can avoid the injection molding machine consuming too much energy during the holding pressure stage and avoid unnecessary burden on the environment.

[0018] (5) The present invention evaluates whether the nozzle temperature of the next production batch needs to be adjusted based on the molding quality of the plastic cups of the current production batch, and further optimizes the process parameters to avoid affecting the overall quality and production efficiency of the product, thereby reducing the scrap rate of the plastic cups and shortening the production cycle. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

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

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

[0022] Figure 3 Schematic diagram of nozzle position alignment of the present invention.

[0023] Description of the accompanying drawings: 1. Nozzle, 2. Mold. DETAILED DESCRIPTION

[0024] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments of the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative effort belong to the scope of protection of the present application.

[0025] Please refer to Figure 1 As shown in the figure, the present application provides a plastic cup injection molding intelligent monitoring control system, comprising: a nozzle position alignment module, a raw material flow anomaly analysis module, a mold temperature adjustment module, a holding time control module, a molding quality analysis module, a nozzle temperature adjustment module and a database.

[0026] The nozzle position alignment module and the raw material flow anomaly analysis module are connected, the raw material flow anomaly analysis module and the mold temperature adjustment module are connected, the mold temperature adjustment module and the holding time control module are connected, the holding time control module and the molding quality analysis module are connected, the molding quality analysis module and the nozzle temperature adjustment module are connected, and the mold temperature adjustment module, the holding time control module and the nozzle temperature adjustment module are all connected with the database.

[0027] Please refer to Figure 3 The nozzle position alignment module is used to collect 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 center point position of the bottom of each nozzle and the mold corresponding to each nozzle, analyze the position accuracy between each nozzle in the target injection molding machine and the mold corresponding thereto, and perform position control on each nozzle in the target injection molding machine.

[0028] It should be noted that 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 are respectively collected by a miniature camera arranged near the bottom of each nozzle and a high-definition camera above the injection molding table.

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

[0030] A2, selecting a point from the mold corresponding to each nozzle, taking the point as the origin, taking the horizontal direction as the x-axis and taking the vertical direction as the y-axis, establishing a two-dimensional rectangular coordinate system of the mold corresponding to each nozzle, obtaining the coordinate value of the mapping point of each nozzle on the plane where the mold corresponding thereto is located, and denoted as , wherein represents the number of the nozzle, .

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

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

[0033] See also Figure 2 As shown, in a specific embodiment of the present invention, the specific process of positionally controlling each nozzle in the target injection molding machine is as follows: B1. Comparing the positional accuracy between each nozzle in the target injection molding machine and its corresponding mold with the positional accuracy of a set reference; if the positional accuracy between a certain 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 has been aligned and no positional control is required.

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

[0035] The embodiment of the present invention analyzes the position accuracy between each nozzle in the target injection molding machine and its corresponding mold, and adjusts the position of each nozzle in the target injection molding machine, thereby reducing the alignment error between the nozzle and its corresponding mold, 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 discharge volume and the actual raw material discharge volume of each nozzle in the target injection molding machine in the current production batch in 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.

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

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

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

[0040] Calculate the target injection molding machine's The nozzle in the The actual discharge volume of raw materials during the monitoring period and The absolute difference in the ejection volume of all nozzles in each monitoring time period is calculated, and the average of the absolute difference in the ejection volume of all nozzles in each monitoring time period is calculated. The relative deviation between the set reference raw material ejection volume deviation and the average is used as the raw material ejection uniformity corresponding to each nozzle in the target injection molding machine. .

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

[0043] C2. Calculate the raw material flow anomaly index corresponding to each nozzle in the target injection molding machine in the current production batch , ,in, and They represent the weights of the raw material flow abnormality assessment corresponding to the set raw material ejection uniformity and raw material ejection stability, respectively. .

[0044] In a specific embodiment of the present invention, The setting value is 0.5. The value of is set to 0.5. In actual production, material discharge uniformity and material discharge stability are often interrelated. If either of them fails, the entire injection molding process may be abnormal. Therefore, it is necessary to comprehensively consider these two factors when calculating the material flow abnormality index.

[0045] The mold temperature adjustment module is used to compare the raw material flow anomaly 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 anomaly index corresponding to a 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: extracting the raw material flow anomaly index corresponding to each target nozzle in the target injection molding machine, and matching and comparing it with the corresponding adaptive mold temperature of each raw material flow anomaly index stored in the database, obtaining the corresponding adaptive mold temperature of the mold corresponding to each target nozzle in the target injection molding machine, and adjusting the mold temperature of the mold corresponding to each target nozzle to the corresponding adaptive mold temperature.

[0047] The embodiment of the present invention comprehensively analyzes the raw material flow conditions by combining the uniformity and stability of raw material ejection in the nozzle, thereby improving the accuracy of the raw material flow state analysis, realizing dynamic adjustment of the mold temperature of the mold, meeting the diverse requirements of the mold temperature, and improving the accuracy of the mold temperature control of the mold.

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

[0049] It should be noted that the benchmark holding time for the mold in the target production line under the set mold temperature condition and the set raw material quantity is extracted from the production requirements of the target production line, and the current mold temperature and current raw material quantity of each mold in the current production batch are respectively collected by an infrared temperature measuring instrument and a weight sensor placed under each mold.

[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 reference holding time of the mold in the target production line under the set mold temperature condition and the set raw material amount is recorded as .

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

[0052] D3. The set mold temperature and set raw material quantity of the mold in the target production line are recorded as 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 and .

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

[0055] The embodiment of the present invention dynamically adjusts the holding time according to the mold temperature deviation and the raw material quantity deviation to meet the holding pressure requirements of each mold, avoid the uneven wall thickness, unstable size or surface defects of the plastic cup caused by the fixed holding time, and the reasonable holding time setting can prevent the injection molding machine from consuming too much energy during the holding pressure stage, avoiding unnecessary burden on the environment.

[0056] Among them, the temperature range of injection molds suitable for the raw materials is extracted from the raw material technical specifications provided by the raw material supplier (such as the temperature range of injection molds suitable for PET mold raw materials). Reference range is 45-60℃), raw material dosage coefficient of unit volume product (such as 20g of raw material per 100mL volume); combined with the design volume of the plastic cup (such as 300mL), calculate the initial (e.g. 300mL×20g / 100mL=60g); select the middle value as the initial value from the mold temperature range suitable for the raw material (such as 50℃); with initial and Carry out small batch trial production (such as producing plastic cups with 50 mold pieces), collect key data during the trial production process, and adjust the wall thickness of the trial-produced cups if the deviation exceeds the design standard. , when the wall thickness is too thick, reduce (For example, from 60g to 58g), if the wall thickness is too thin, increase it appropriately (For example, from a 60g mold to a 62g mold); if a large number of bubbles appear on the surface of the cup, it is judged to be Too low will cause the raw material to cool too quickly, so increase it appropriately (like from 50℃ of the mold to 52℃ of the mold), and re-perform small batch trial production. Until the quality indicators of the trial production plastic cups all meet the design standards; the corresponding mold temperature and raw material amount at this time are determined as the target production line and , and are input into the production control system of the target production line and the database of the present application as the baseline values for subsequent holding time calculation and parameter deviation comparison.

[0057] The other preset value acquisition processes in the present application are the same as or similar to the acquisition method of the set mold temperature and the set raw material amount of the mold in the target production line, which can be obtained by limited experiments and combined with the conventional knowledge in the field by those skilled in the art, and will not be described in detail here.

[0058] The molding quality analysis module is configured to collect images of each molded plastic cup in the current production batch after the plastic cup is taken out of the mold, and obtain plastic cup molding information from the images, 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 collected by the high-definition camera.

[0060] In specific embodiments of the present application, the plastic cup molding information includes the number of bubbles, the volume of each bubble, the number of surface raw material flow marks, and the length of each raw material flow mark.

[0061] It should be noted that the collection method of the number of bubbles, the volume of each bubble, the number of surface raw material flow marks, and the length of each raw material flow mark is as follows: 1) image collection: a high-resolution industrial camera is selected to ensure that the details of the product surface can be captured. 2) image preprocessing: the collected images are preprocessed for noise reduction, contrast enhancement, etc. to improve the accuracy of subsequent analysis. 3) bubble detection and counting: image processing algorithms are used to extract bubble features from the images, machine learning or deep learning algorithms are applied to classify and identify the extracted features, bubbles and other interference factors are distinguished, the identified bubbles are counted, and their position and size information are recorded, and the volume of the bubbles is estimated according to the diameter or area of the bubbles. 4) flow mark detection and counting: image processing techniques are used to identify flow mark features in the images, count the identified flow marks, and record their position and length information.

[0062] In specific embodiments of the present application, the specific process of analyzing the molding quality coefficient of each molded plastic cup in the current production batch is as follows: E1, the number of bubbles, the volume of each bubble, the number of surface raw material flow marks, and the length of each raw material flow mark are extracted from the plastic cup molding information of each molded plastic cup in the current production batch, and the bubble existence abnormality index and raw material flow mark abnormality index ,in, Indicates the number of the molded plastic cup, .

[0063] It should be noted that the specific process of calculating the bubble anomaly index corresponding to 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] The maximum value is extracted from the bubble volumes corresponding to each molded plastic cup in the current production batch as the bubble volume corresponding to each molded plastic cup in the current production batch, and recorded as .

[0065] calculate and The relative deviation value and and The relative deviation value of the above two relative deviation values ​​is used as the abnormal index of bubbles corresponding to each molded plastic cup in the current production batch. ,in and They represent the number of bubbles and the volume of bubbles respectively.

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

[0067] The average length of the flow marks of each raw material corresponding to each molded plastic cup in the current production batch is calculated to obtain the average flow mark length of the raw material corresponding to each molded plastic cup in the current production batch, and is recorded as .

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

[0069] E2. Calculate the molding quality coefficient of each molded plastic cup in the current production batch , ,in, and They represent the weights of the raw material flow abnormality assessment corresponding to the set raw material ejection uniformity and raw material ejection stability, respectively. .

[0070] In a specific embodiment of the present invention, The setting value is 0.5. The value is set to 0.5. When calculating the molding quality coefficient, the influence of material ejection uniformity and stability must be comprehensively considered. 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 overall product quality.

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

[0072] In a specific embodiment of the present invention, the method for confirming each plastic cup with abnormal quality in the current production batch is: comparing the molding quality coefficient corresponding to each molded plastic cup in the current production batch with the set reference molding quality coefficient; if the molding quality coefficient corresponding to a molded plastic cup is less than the set reference molding quality coefficient, then the molded plastic cup is recorded as a plastic cup with abnormal quality, thereby counting each plastic cup with abnormal quality 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 plastic cup with abnormal quality in the next production batch is: matching the molding quality coefficient corresponding to each plastic cup with abnormal quality with the nozzle temperature corresponding to each molding quality stored in the database to obtain the nozzle temperature corresponding to each plastic cup with abnormal quality, thereby adjusting the temperature of the nozzle corresponding to each plastic cup with abnormal quality in the next production batch to the corresponding adapted nozzle temperature.

[0074] The embodiment of the present invention evaluates whether the nozzle temperature of the next production batch needs to be adjusted based on the molding quality of the plastic cups in the current production batch, and further optimizes the process parameters to avoid affecting the overall quality and production efficiency of the product, thereby reducing the scrap rate of the plastic cups and shortening the production cycle.

[0075] The database is used to store the mold temperature corresponding to each raw material flow anomaly index, the reference floating holding time corresponding to each unit mold temperature deviation and unit raw material quantity deviation, and the 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] The embodiment of the present invention monitors and analyzes each process of the injection molding of the plastic cup and controls any abnormalities that may exist in each process, thereby improving the timeliness of discovering and handling abnormalities in the injection molding process of the plastic cup and improving the molding quality of the plastic cup.

[0079] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.

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

[0081] Those skilled in the art will appreciate that the modules and algorithm steps of each example 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 performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel 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, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

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

[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 in the scope of protection of the present invention.

Claims

1. An intelligent monitoring and control system for plastic cup injection molding, characterized in that: include: The nozzle position alignment module collects images of each nozzle and the corresponding mold of the injection molding machine, identifies the center point position of the mold, analyzes the position accuracy between each nozzle and its corresponding mold, and performs control; The raw material flow abnormality analysis module analyzes the raw material flow abnormality index based on the set raw material discharge volume and actual discharge volume of each nozzle in each time period; 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 holding time control module adjusts the holding time of each mold based on the benchmark holding time of the set raw material quantity at the set temperature, combined with the current actual mold temperature and raw material quantity; The molding quality analysis module collects images of molded plastic cups, extracts molding feature information, and analyzes 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 plastic cup injection molding according to claim 1, characterized in that: Analyze the alignment accuracy between each nozzle and its corresponding mold, including: A1. Map the center point of each nozzle bottom onto the plane of the mold corresponding to each nozzle to obtain the mapping point of each nozzle on the plane of the mold corresponding to each nozzle; A2. Select a point on the mold corresponding to each nozzle and establish a two-dimensional rectangular coordinate system for the mold corresponding to each nozzle with this point as the origin, the horizontal direction as the x-axis, and the vertical direction as the y-axis. Obtain the coordinate value of the mapping point of each nozzle on the plane where the corresponding mold is located; A3. Obtain the coordinates of the center point of the mold corresponding to each nozzle; A4. Calculate the positional accuracy between each nozzle and its corresponding mold in the target injection molding machine based on the deviation between the projection point and the mold center point in the x-axis and y-axis directions, as well as the preset allowable offset range.

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

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

5. The intelligent monitoring and control system for plastic cup injection molding according to claim 4, characterized in that: 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: extracting the raw material flow anomaly index corresponding to each target nozzle in the target injection molding machine, and matching and comparing it with the corresponding adaptive mold temperature of each raw material flow anomaly index stored in the database, obtaining the corresponding adaptive mold temperature of the mold corresponding to each target nozzle in the target injection molding machine, and adjusting the mold temperature of the mold corresponding to each target nozzle to the corresponding adaptive mold temperature.

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

7. The intelligent monitoring and control system for plastic cup injection molding according to claim 1, characterized in that: The characteristic information of plastic cup molding includes the number of bubbles, the volume of each bubble, the number of surface raw material flow marks and the length of each raw material flow mark.

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

9. The intelligent monitoring and control system for plastic cup injection molding according to claim 8, characterized in that: The method to confirm each plastic cup with abnormal quality is: 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 molded plastic cup is less than the set reference molding quality coefficient, the molded plastic cup is recorded as a quality abnormal plastic cup, and the quality abnormal plastic cups are counted accordingly.

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

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