Injection molding process control method and system

Abstract

The present invention discloses a method and system for controlling the processing technology of injection molded parts, and relates to the field of injection molding processing control, wherein the method comprises: obtaining the first injection molded part structure information, obtaining the first characteristic analysis result; obtaining the first injection molding material information, obtaining the first speed classification result; obtaining the first gate position information, obtaining the first classification speed control result; and using the same to control the processing of the first injection molded part, obtaining the first temperature collection set; obtaining the first compensation classification speed adjustment result; obtaining the second classification speed control result; and using the same to control the processing of the first injection molded part. The method solves the technical problem that the precision of the injection molding processing technology control in the prior art is not high, which leads to poor control effect of the injection molding processing technology control. The method achieves the technical effects of improving the precision and accuracy of the injection molding processing technology control, and thus improving the effect and quality of the injection molding processing technology control.

Description

Technical Field

[0001] The present invention relates to the field of injection molding process control, and in particular to an injection molding part processing technology control method and system. Background Art

[0002] Injection molded parts are favored by people for their advantages of good quality and low price, and have become indispensable means of production and consumer goods. Injection molded parts have been widely used in transportation, packaging, post and telecommunications, communications, construction, home appliances, computers, aerospace and other fields, playing a pivotal role. At the same time, with the widespread application of injection molded parts, the processing technology of injection molded parts is becoming more and more complicated. Researching and designing a method to optimize the control of injection molded parts processing technology has important practical significance.

[0003] In the prior art, there is a technical problem that the precision of the control of the injection molding process is not high, which leads to poor control effect of the injection molding process. Summary of the invention

[0004] The present application provides an injection molding process control method and system, which solves the technical problem in the prior art that the precision of injection molding process control is not high, resulting in poor injection molding process control effect.

[0005] In view of the above problems, the present application provides a method and system for controlling the processing technology of injection molded parts.

[0006] In a first aspect, the present application provides a method for controlling a processing technology of an injection molded part, wherein the method is applied to a control system for processing technology of an injection molded part, and the method includes: obtaining structural information of a first injection molded part, performing structural feature analysis on the structural information, and obtaining a first feature analysis result; obtaining first injection molding material information, performing preliminary speed grading setting according to the first feature analysis result and the first injection molding material information, and obtaining a first speed grading result; obtaining first gate position information, performing injection molding processing fitting according to the first gate position information and the first speed grading result, and obtaining a first graded speed control result according to the fitting result, wherein the first graded speed control result includes a temperature fitting parameter of a graded node; performing processing control of the first injection molded part according to the first graded speed control result, and performing temperature collection of the graded node according to the temperature sensor to obtain a first temperature collection set; inputting the first temperature collection set and the temperature fitting parameters into a same-node speed optimization model to obtain a first compensated graded speed adjustment result; adjusting the first graded speed control result according to the first compensated graded speed adjustment result to obtain a second graded speed control result; and performing processing control of the first injection molded part according to the second graded speed control result.

[0007] In a second aspect, the present application further provides an injection molding part processing technology control system, wherein the system comprises: a first acquisition unit, the first acquisition unit is used to obtain the first injection molding part structure information, perform structural feature analysis on the structure information, and obtain a first feature analysis result; a second acquisition unit, the second acquisition unit is used to obtain the first injection molding material information, perform preliminary speed classification setting according to the first feature analysis result and the first injection molding material information, and obtain a first speed classification result; a third acquisition unit, the third acquisition unit is used to obtain the first gate position information, perform injection molding processing fitting according to the first gate position information and the first speed classification result, and obtain a first classification speed control result according to the fitting result, wherein the first classification speed control result includes a temperature fitting parameter of a graded node; a fourth acquisition unit, the fourth acquisition unit being used to perform processing control of the first injection molded part through the first graded speed control result, and to collect the temperature of the graded node through a temperature sensor to obtain a first temperature collection set; a fifth acquisition unit, the fifth acquisition unit being used to input the first temperature collection set and the temperature fitting parameter into a same-node speed optimization model to obtain a first compensated graded speed adjustment result; a sixth acquisition unit, the sixth acquisition unit being used to adjust the first graded speed control result according to the first compensated graded speed adjustment result to obtain a second graded speed control result; a first execution unit, the first execution unit being used to perform processing control of the first injection molded part according to the second graded speed control result.

[0008] In a third aspect, the present application provides an injection molding process control system, which includes: a processor, the processor is coupled to a memory, the memory is used to store a program, and when the program is executed by the processor, the system executes the steps of any one of the methods described in the first aspect above.

[0009] In a fourth aspect, the present application provides a computer-readable storage medium, wherein a computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of any one of the methods described in the first aspect are implemented.

[0010] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0011] Determine the first injection molded part structural information, analyze its structural features, and obtain the first feature analysis result; obtain the first injection molding material information, and perform preliminary speed classification setting in combination with the first feature analysis result to obtain the first speed classification result; obtain the first gate position information, based on which, perform injection molding process fitting, obtain the first classification speed control result according to the fitting result, and use it to perform the processing control of the first injection molded part, collect the temperature of the classification node through the temperature sensor, and obtain the first temperature collection set; input the first temperature collection set and the temperature fitting parameters into the same node speed optimization model to obtain the first compensation classification speed adjustment result; determine the second classification speed control result; and perform the processing control of the first injection molded part according to it. The precision and accuracy of the injection molding process control are improved, thereby improving the effect and quality of the injection molding process control; at the same time, a method for optimizing the injection molding process control is designed to lay the foundation for the further development of the injection molding process.

[0012] 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

[0013] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0014] Figure 1 A schematic diagram of a process control method for injection molding processing according to the present application;

[0015] Figure 2 A schematic diagram of a process flow of controlling the processing of injection molded parts with the same parameters according to a third graded speed control result in a method for controlling the processing of injection molded parts of the present application;

[0016] Figure 3 A schematic diagram of a process flow of controlling the processing of injection molded parts with the same parameters according to a fourth graded speed control result in a method for controlling the processing of injection molded parts of the present application;

[0017] Figure 4 This is a schematic diagram of the structure of an injection molding process control system for this application;

[0018] Figure 5 This is a schematic diagram of the structure of an exemplary electronic device of the present application.

[0019] Explanation of the figure marks: first obtaining unit 11, second obtaining unit 12, third obtaining unit 13, fourth obtaining unit 14, fifth obtaining unit 15, sixth obtaining unit 16, first execution unit 17, electronic device 300, memory 301, processor 302, communication interface 303, bus architecture 304. DETAILED DESCRIPTION

[0020] This application provides a method and system for controlling the process of injection molding, which solves the technical problem in the prior art that the precision of the process control of injection molding is not high, resulting in poor control effect of the process control of injection molding. The precision and accuracy of the process control of injection molding are improved, thereby improving the effect and quality of the process control of injection molding; at the same time, a method for optimizing the process control of injection molding is designed, which lays the foundation for the further development of the process of injection molding.

[0021] Below, the exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application, and it should be understood that the present application is not limited to the exemplary embodiments described here.

[0022] The acquisition, storage, use, and processing of data in the technical solution of this application comply with the relevant provisions of national laws and regulations.

[0023] Injection molded parts are popular among people for their advantages of good quality and low price, and have become indispensable means of production and consumer goods. Injection molded parts have been widely used in transportation, packaging, post and telecommunications, communications, construction, home appliances, computers, aerospace and other fields, playing a pivotal role. At the same time, with the widespread application of injection molded parts, the processing technology of injection molded parts is becoming more and more complicated. Researching and designing a method for optimizing the control of injection molded parts processing technology has important practical significance. In the prior art, there is a technical problem that the accuracy of injection molded parts processing technology control is not high, which leads to poor control effect of injection molded parts processing technology.

[0024] In response to the above technical problems, the overall idea of ​​the technical solution provided by this application is as follows:

[0025] The present application provides a method for controlling a process of processing injection molded parts, wherein the method is applied to a control system for processing injection molded parts, and the method includes: determining first injection molded part structural information, performing structural feature analysis on the first injection molded part, and obtaining a first feature analysis result; obtaining first injection molding material information, and performing preliminary speed classification setting in combination with the first feature analysis result, and obtaining a first speed classification result; obtaining first gate position information, based on which, performing injection molding process fitting, obtaining a first classification speed control result according to the fitting result, and using the first classification speed control result to perform processing control of the first injection molded part, performing temperature collection of classification nodes through the temperature sensor, and obtaining a first temperature collection set; inputting the first temperature collection set and the temperature fitting parameters into a same-node speed optimization model, and obtaining a first compensation classification speed adjustment result; determining a second classification speed control result; and performing processing control of the first injection molded part according to the second classification speed control result.

[0026] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0027] Embodiment 1

[0028] Please see attached Figure 1 The present application provides a method for controlling a process of injection molding, wherein the method is applied to a control system for a process of injection molding, and the method specifically comprises the following steps:

[0029] Step S100: obtaining first injection molded part structural information, performing structural feature analysis on the structural information, and obtaining a first feature analysis result;

[0030] Furthermore, step S100 of the present application also includes:

[0031] Step S110: constructing a first thin-thick wall segmentation feature, and performing structural segmentation of the structural information according to the first thin-thick wall segmentation feature to obtain a first segmentation result;

[0032] Step S120: obtaining dimension parameter information of the first injection molded part, and performing characteristic degree identification of the first segmentation result according to the dimension parameter information to obtain a first characteristic degree identification result;

[0033] Step S130: obtaining the first feature analysis result according to the first segmentation result and the first feature degree identification result.

[0034] Specifically, the first injection molded part is any injection molded part that is processed by the injection molded part processing technology control system. Exemplarily, the first injection molded part can be various injection molded products produced by an injection molding machine, such as a plastic barrel and a housing of a household appliance. After the first injection molded part is collected by the injection molded part processing technology control system through big data query and other methods, the first injection molded part structure information is obtained. Furthermore, after the first injection molded part structure information obtained is comprehensively analyzed by the injection molded part processing technology control system, the first thin-thick wall segmentation feature is obtained, and the first injection molded part structure information is structurally segmented based on the first injection molded part structure information to obtain the first segmentation result. Further, the first injection molded part structure information is feature extracted to obtain the size parameter information of the first injection molded part, and the first segmentation result obtained is feature-identified based on the feature degree to obtain the first feature degree identification result, and then the first feature analysis result is obtained in combination with the first segmentation result. Wherein, the first injection molded part structure information includes data information of structural parameters such as the geometric shape, internal structure, and dimensional accuracy of the first injection molded part. The first thin-thick wall segmentation feature is data information used to characterize the division standard of the thin-wall structure area and the thick-wall structure area of ​​the first injection molded part. The first segmentation result is data information used to characterize the distribution of the thin-wall structure area and the thick-wall structure area of ​​the first injection molded part after the first thin-thick wall segmentation feature is used to perform structural segmentation on the structural information of the first injection molded part. The first characteristic degree identification result is data information used to characterize the dimensional parameters such as position and area of ​​the first segmentation result after the dimensional parameter information of the first injection molded part is used to perform characteristic degree identification on the first segmentation result. The first characteristic analysis result includes the first segmentation result and the first characteristic degree identification result. The technical effect of clarifying the structural information of the first injection molded part, performing structural characteristic analysis on it, determining the first characteristic analysis result, and laying the foundation for the subsequent acquisition of the first speed classification result is achieved.

[0035] Furthermore, step S130 of the present application also includes:

[0036] Step S131: performing cross-structure recognition according to the structural information to obtain a first cross-structure recognition result;

[0037] Step S132: obtaining intersection bifurcation quantity information according to the first intersection structure recognition result, and obtaining a second characteristic degree identification result according to the intersection bifurcation quantity information;

[0038] Step S133: obtaining a third characteristic degree identification result of the first cross structure recognition result according to the size parameter information;

[0039] Step S134: obtaining the first feature analysis result according to the first cross structure recognition result, the second feature degree identification result and the third feature degree identification result.

[0040] Specifically, the first injection molded part is cross-structure identified by using the obtained structural information to obtain a first cross-structure identification result, and the intersection bifurcation number information is obtained based on the cross-structure identification result; then, the intersection bifurcation number information is characterized by identification to obtain a second characteristic identification result; further, the first cross-structure identification result is characterized by using the obtained size parameter information of the first injection molded part to obtain a third characteristic identification result, and the first characteristic analysis result is obtained by combining the first cross-structure identification result and the second characteristic identification result. Wherein, the first cross-structure identification result is data information used to characterize the cross-structure distribution of the first injection molded part. Exemplarily, the first cross-structure identification result includes data information such as the position and number of the cross-structure. The intersection bifurcation number information is data information used to characterize the number of cross-structure bifurcations in the first cross-structure identification result. The second characteristic identification result is data information used to characterize the intersection bifurcation number information. The third characteristic identification result is data information used to characterize the position, size and other size parameters of the first cross-structure identification result by characterizing the first cross-structure identification result based on the size parameter information. The first feature analysis result includes the first cross-structure recognition result, the second feature degree identification result and the third feature degree identification result. When performing structural feature analysis, the structural information is used to perform cross-structure feature analysis, thereby improving the accuracy and reliability of the first feature analysis result.

[0041] Step S200: obtaining first injection molding material information, performing preliminary speed classification setting according to the first characteristic analysis result and the first injection molding material information, and obtaining a first speed classification result;

[0042] Step S300: obtaining first gate position information, performing injection molding process fitting according to the first gate position information and the first speed classification result, and obtaining a first classification speed control result according to the fitting result, wherein the first classification speed control result includes a temperature fitting parameter of a classification node;

[0043] Specifically, the first injection molding material information is obtained by means of big data query and the like, and a preliminary speed classification setting is performed in combination with the first characteristic analysis result to obtain a first speed classification result. Further, the first gate position information is determined by the injection molding process control system after a comprehensive analysis of the first injection molding structure information and the first injection molding material information. Based on this, the first gate position information and the first speed classification result are input into the existing injection molding simulation analysis software (such as Moldflow, C-Mold, Moldex, etc.) for injection molding process fitting, and the first classification speed control result is obtained according to the fitting result. Among them, the first injection molding material information includes data information such as the material type, the quantity and quality of the material required for the processing process of the first injection molding part. The first speed classification result is data information of the preliminary speed classification of the processing process of the first injection molding part determined by the injection molding process control system after intelligent calculation of the first characteristic analysis result and the first injection molding material information obtained. The first speed classification result includes data information such as the injection molding processing speed corresponding to each position and each processing step of the first injection molding part. Exemplarily, the first speed classification result is that the thin-walled structure area of ​​the first injection molded part has a larger injection molding process speed, and the thick-walled structure area and the cross structure of the first injection molded part have a smaller injection molding process speed. The first gate position information includes data information such as the shape, size, size, and position of the gate. The fitting result includes the fitting process result of the first injection molded part after the injection molding simulation analysis software performs injection molding process fitting, and the first gate position information and the first speed classification result can be optimized and adjusted based on it. The first graded speed control result includes the temperature fitting parameters of the graded node. The graded node is a graded node that performs preliminary speed classification setting based on the first feature analysis result and the first injection molding material information. The technical effect of using the first gate position information and the first speed classification result to perform injection molding process fitting, and then obtaining a more accurate first graded speed control result, which lays the foundation for the subsequent processing control of the first injection molded part based on it.

[0044] Step S400: performing processing control of the first injection molded part according to the first classification speed control result, and collecting the temperature of the classification nodes through the temperature sensor to obtain a first temperature collection set;

[0045] Step S500: inputting the first temperature collection set and the temperature fitting parameters into a same-node speed optimization model to obtain a first compensation graded speed adjustment result;

[0046] Specifically, on the basis of the obtained first graded speed control result, the actual processing control of the first injection molded part is performed using the result, and the temperature sensor is used to collect the temperature of the graded node during the actual processing control process to obtain the first temperature collection set. Further, the first temperature collection set and the temperature fitting parameters are used as input information and input into the same-node speed optimization model to obtain the first compensation graded speed adjustment result. Among them, the first temperature collection set includes the actual processing temperature data information obtained from the actual processing control process of the first injection molded part. The same-node speed optimization model is an intelligent neural network model, which is obtained through a large amount of training data information related to the actual processing temperature and temperature fitting parameters, and has the function of intelligent speed optimization. The first compensation graded speed adjustment result is the data information of the first temperature collection set and the temperature fitting parameters input by the same-node speed optimization model, based on the difference between the first temperature collection set and the temperature fitting parameters, and combined with the first injection molding material information, to compensate the first graded speed control result. The technical effect of using the same-node speed optimization model to obtain accurate and efficient first compensation graded speed adjustment results is achieved.

[0047] Step S600: adjusting the first graded speed control result according to the first compensation graded speed adjustment result to obtain a second graded speed control result;

[0048] Step S700: performing processing control of the first injection molded part according to the second graded speed control result.

[0049] Specifically, based on the obtained first compensation graded speed adjustment result, the first graded speed control result is adjusted using it to obtain a second graded speed control result; and then the second graded speed control result is used to control the processing of the first injection molded part. The second graded speed control result is data information after the first graded speed control result is adjusted according to the first compensation graded speed adjustment result. The technical effect of obtaining a second graded speed control result with higher accuracy and performing more accurate injection molding process control based on it is achieved, thereby improving the effect and quality of injection molding process control.

[0050] Furthermore, step S700 of the present application also includes:

[0051] Step S710: obtaining a first sampling measurement point set;

[0052] Step S720: collecting continuous changes in temperature parameters of the first sampling measurement point set through the temperature sensor to obtain a second temperature collection set;

[0053] Step S730: Compare the fitted temperature change information of the second temperature acquisition set and the first sampling measurement point set to obtain a first deviation result;

[0054] Step S740: obtaining a first mold adjustment temperature according to the first deviation result;

[0055] Step S750: Controlling the processing of the first injection molded part by adjusting the temperature of the first mold.

[0056] Specifically, the injection molding process control system samples the first injection molding part to obtain a first sampling measurement point set, and uses a temperature sensor to collect temperature of the first sampling measurement point set to obtain a second temperature collection set; then, the fitting temperature change information of the first sampling measurement point set is compared to obtain a first deviation result, and the first mold adjustment temperature is obtained, and then the first injection molding process control is performed. The first sampling measurement point set includes data information such as the number and position of the sampling measurement points of the first injection molding part. The first sampling measurement point set can also be adaptively set according to actual conditions. The second temperature collection set includes data information of continuous changes in temperature parameters of the first sampling measurement point set. The fitting temperature change information of the first sampling measurement point set includes temperature fitting parameters corresponding to the first sampling measurement point set. The first deviation result is data information used to characterize the deviation between the second temperature collection set and the fitting temperature change information of the first sampling measurement point set. The first mold adjustment temperature is data information used to adjust the temperature of the mold of the first injection molding part after the injection molding process control system performs intelligent analysis on the first deviation result. The data information of using the first mold to adjust the temperature to control the processing of the first injection molded part and improving the accuracy of the processing control of the first injection molded part is achieved.

[0057] Further, as attached Figure 2 As shown, after step S700, the present application further includes:

[0058] Step S810: performing image acquisition on the processing result of the first injection molded part by the image acquisition device to obtain a first image acquisition result;

[0059] Step S820: constructing an injection molding defect feature set through big data;

[0060] Step S830: performing feature matching of the first image acquisition result according to the injection defect feature set to obtain a first feature matching result, wherein the first feature matching result includes a defect similarity parameter;

[0061] Step S840: obtaining a first speed adjustment optimization parameter according to the first feature matching result;

[0062] Step S850: adjusting the second graded speed control result according to the first speed adjustment optimization parameter to obtain a third graded speed control result;

[0063] Step S860: performing processing control of the injection molded parts with the same parameters according to the third graded speed control result.

[0064] Specifically, after the first injection molded part is processed and controlled by using the second graded speed control result and the first mold adjustment temperature, the processing result of the first injection molded part is obtained; then, an image acquisition device is used to acquire an image of the first injection molded part to acquire a first image acquisition result; further, the first image acquisition result is feature matched by using the injection molding defect feature set to acquire a first feature matching result; and a first speed adjustment optimization parameter is obtained based on the first graded speed control result, and then a third graded speed control result is determined, based on which, the processing control of the injection molded part with the same parameters is performed. Wherein, the first image acquisition result includes image data information of the processing result of the first injection molded part. The injection molding defect feature set includes data information such as the type of injection molding defect obtained through big data and the image corresponding to each type of injection molding defect. The first feature matching result is data information used to characterize the matching degree between the first image acquisition result and the injection molding defect feature set. The first feature matching result includes a defect similarity parameter. The defect similarity parameter is data information used to characterize the similarity degree between the first image acquisition result and the injection molding defect feature in the injection molding defect feature set. The third graded speed control result is data information obtained after adjusting the second graded speed control result by using the first speed adjustment optimization parameter. The processing control of the injection molded parts with the same parameters is the processing control of the injection molded parts with the same parameters as the first injection molded parts, and achieves the technical effect of using the third graded speed control result to perform processing control of the injection molded parts with the same parameters and improve the subsequent injection molded parts processing process control effect.

[0065] Furthermore, step S840 of the present application also includes:

[0066] Step S841: obtaining first positioning identification information according to the first feature matching result;

[0067] Step S842: constructing a characteristic abnormality impact correlation degree according to the first positioning identification information and the hierarchical nodes of the second hierarchical speed control result to obtain a first construction result;

[0068] Step S843: Obtain the first speed adjustment optimization parameter according to the first construction result and the first feature matching result.

[0069] Specifically, the first positioning identification information is obtained from the first feature matching result; then, in combination with the hierarchical nodes of the second graded speed control result, the feature abnormality influence correlation is constructed to obtain the first construction result. Further, the first speed adjustment optimization parameter is jointly determined by the first construction result and the first feature matching result. Among them, the first positioning identification information is data information such as position parameters that characterize the presence of injection molding defect characteristics in the processing result of the first injection molded part. The first construction result is data information used to characterize the abnormal influence correlation between the first positioning identification information and the hierarchical nodes of the second graded speed control result. The technical effect of obtaining the first speed adjustment optimization parameter with high accuracy and reliability and providing data support for the subsequent acquisition of the third graded speed control result is achieved.

[0070] Further, as attached Figure 3 As shown, after step S700, the present application further includes:

[0071] Step S910: obtaining quality and efficiency balance parameters;

[0072] Step S920: evaluating the processed injection molded parts of the second graded speed control result according to the quality and efficiency balance parameter to obtain a first evaluation result;

[0073] Step S930: obtaining a first modified speed control parameter according to the first evaluation result;

[0074] Step S940: adjusting the second graded speed control result according to the first modified speed control parameter to obtain a fourth graded speed control result;

[0075] Step S950: performing processing control of injection molded parts with the same parameters according to the fourth graded speed control result.

[0076] Specifically, the quality and efficiency balance parameter is obtained after the injection molding process control system comprehensively analyzes the key points and difficulties of the injection molding process flow; and then the quality and efficiency balance parameter is used to evaluate the injection molding processed by the second graded speed control result to obtain the first evaluation result, and then determine the first correction speed control parameter; further, according to the obtained first correction speed control parameter, the fourth graded speed control result is determined, and the injection molding process with the same parameters is controlled according to the fourth graded speed control result. Among them, the quality and efficiency balance parameter is data information used to characterize the quality and efficiency balance relationship of the injection molding process flow. The first evaluation result is used to characterize the processing quality, processing efficiency, and balance between the processing injection molding of the second graded speed control result. The first correction speed control parameter is the speed correction data information obtained by the injection molding process control system after comprehensively analyzing the first evaluation result. The fourth graded speed control result is obtained by adjusting the second graded speed control result with the first correction speed control parameter. The technical effect of using the fourth graded speed control result to control the injection molding process with the same parameters and improving the subsequent processing control accuracy is achieved.

[0077] In summary, the injection molding process control method provided by the present application has the following technical effects:

[0078] Determine the first injection molded part structural information, analyze its structural features, and obtain the first feature analysis result; obtain the first injection molding material information, and perform preliminary speed classification setting in combination with the first feature analysis result to obtain the first speed classification result; obtain the first gate position information, based on which, perform injection molding process fitting, obtain the first classification speed control result according to the fitting result, and use it to perform the processing control of the first injection molded part, collect the temperature of the classification node through the temperature sensor, and obtain the first temperature collection set; input the first temperature collection set and the temperature fitting parameters into the same node speed optimization model to obtain the first compensation classification speed adjustment result; determine the second classification speed control result; and perform the processing control of the first injection molded part according to it. The precision and accuracy of the injection molding process control are improved, thereby improving the effect and quality of the injection molding process control; at the same time, a method for optimizing the injection molding process control is designed to lay the foundation for the further development of the injection molding process.

[0079] Embodiment 2

[0080] Based on the same inventive concept as the injection molding process control method in the aforementioned embodiment, the present invention also provides an injection molding process control system, see the attached Figure 4 , the system comprising:

[0081] A first obtaining unit 11, the first obtaining unit 11 is used to obtain structural information of a first injection molded part, perform structural feature analysis on the structural information, and obtain a first feature analysis result;

[0082] A second obtaining unit 12, the second obtaining unit 12 is used to obtain first injection material information, perform preliminary speed classification setting according to the first feature analysis result and the first injection material information, and obtain a first speed classification result;

[0083] a third obtaining unit 13, the third obtaining unit 13 is used to obtain first gate position information, perform injection molding process fitting according to the first gate position information and the first speed classification result, and obtain a first classification speed control result according to the fitting result, wherein the first classification speed control result includes a temperature fitting parameter of a classification node;

[0084] A fourth obtaining unit 14, the fourth obtaining unit 14 is used to perform processing control of the first injection molded part according to the first classification speed control result, collect the temperature of the classification node through the temperature sensor, and obtain a first temperature collection set;

[0085] A fifth obtaining unit 15, the fifth obtaining unit 15 is used to input the first temperature collection set and the temperature fitting parameters into a same-node speed optimization model to obtain a first compensation graded speed adjustment result;

[0086] a sixth obtaining unit 16, the sixth obtaining unit 16 being configured to adjust the first graded speed control result according to the first compensation graded speed adjustment result to obtain a second graded speed control result;

[0087] The first execution unit 17 is used for performing processing control of the first injection molded part according to the second graded speed control result.

[0088] Furthermore, the system also includes:

[0089] a seventh obtaining unit, the seventh obtaining unit being used to construct a first thin-thick wall segmentation feature, perform structural segmentation of the structural information according to the first thin-thick wall segmentation feature, and obtain a first segmentation result;

[0090] an eighth obtaining unit, the eighth obtaining unit being used to obtain dimension parameter information of the first injection molded part, and to perform a characteristic degree identification on the first segmentation result according to the dimension parameter information to obtain a first characteristic degree identification result;

[0091] A ninth obtaining unit, the ninth obtaining unit is used to obtain the first feature analysis result according to the first segmentation result and the first feature degree identification result.

[0092] Furthermore, the system also includes:

[0093] a tenth obtaining unit, the tenth obtaining unit being configured to perform cross-structure recognition according to the structural information to obtain a first cross-structure recognition result;

[0094] an eleventh obtaining unit, the eleventh obtaining unit being configured to obtain intersection bifurcation quantity information according to the first intersection structure recognition result, and obtain a second characteristic degree identification result according to the intersection bifurcation quantity information;

[0095] a twelfth obtaining unit, the twelfth obtaining unit being configured to obtain a third characteristic degree identification result of the first cross structure recognition result according to the size parameter information;

[0096] A thirteenth obtaining unit is used to obtain the first feature analysis result according to the first cross structure recognition result, the second feature degree identification result and the third feature degree identification result.

[0097] Furthermore, the system also includes:

[0098] a fourteenth obtaining unit, the fourteenth obtaining unit being configured to obtain an image of the processing result of the first injection molded part by using the image acquisition device to obtain a first image acquisition result;

[0099] A second execution unit, the second execution unit is used to construct an injection molding defect feature set through big data;

[0100] a fifteenth obtaining unit, the fifteenth obtaining unit being used to perform feature matching of the first image acquisition result according to the injection molding defect feature set to obtain a first feature matching result, wherein the first feature matching result includes a defect similarity parameter;

[0101] a sixteenth obtaining unit, the sixteenth obtaining unit being configured to obtain a first speed adjustment optimization parameter according to the first feature matching result;

[0102] a seventeenth obtaining unit, the seventeenth obtaining unit being configured to adjust the second graded speed control result according to the first speed adjustment optimization parameter to obtain a third graded speed control result;

[0103] An eighteenth obtaining unit, the eighteenth obtaining unit is used to perform processing control of injection molded parts with the same parameters according to the third graded speed control result.

[0104] Furthermore, the system also includes:

[0105] a nineteenth obtaining unit, the nineteenth obtaining unit being configured to obtain first positioning identification information according to the first feature matching result;

[0106] a twentieth obtaining unit, configured to construct a characteristic abnormality influence correlation degree according to the first positioning identification information and the hierarchical nodes of the second hierarchical speed control result to obtain a first construction result;

[0107] A twenty-first obtaining unit, the twenty-first obtaining unit is used to obtain the first speed adjustment optimization parameter according to the first construction result and the first feature matching result.

[0108] Furthermore, the system also includes:

[0109] A twenty-second obtaining unit, the twenty-second obtaining unit is used to obtain a first sampling measurement point set;

[0110] a twenty-third obtaining unit, the twenty-third obtaining unit being used to collect continuous changes in temperature parameters of the first sampling measurement point set through the temperature sensor to obtain a second temperature collection set;

[0111] a twenty-fourth obtaining unit, the twenty-fourth obtaining unit being used to compare the fitted temperature change information of the second temperature acquisition set and the first sampling measurement point set to obtain a first deviation result;

[0112] a twenty-fifth obtaining unit, the twenty-fifth obtaining unit being used to obtain a first mold adjustment temperature according to the first deviation result;

[0113] A third execution unit is used to control the processing of the first injection molded part according to adjusting the temperature of the first mold.

[0114] Furthermore, the system also includes:

[0115] A twenty-sixth obtaining unit, the twenty-sixth obtaining unit is used to obtain a quality and efficiency balance parameter;

[0116] A twenty-seventh obtaining unit, the twenty-seventh obtaining unit is used to evaluate the processed injection molded part of the second graded speed control result according to the quality and efficiency balance parameter to obtain a first evaluation result;

[0117] a twenty-eighth obtaining unit, the twenty-eighth obtaining unit being configured to obtain a first modified speed control parameter according to the first evaluation result;

[0118] a twenty-ninth obtaining unit, the twenty-ninth obtaining unit being configured to adjust the second graded speed control result according to the first modified speed control parameter to obtain a fourth graded speed control result;

[0119] A fourth execution unit is used to perform processing control of injection molded parts with the same parameters according to the fourth graded speed control result.

[0120] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. Figure 1 The injection molding process control method and specific examples in the first embodiment are also applicable to the injection molding process control system of the present embodiment. Through the above detailed description of the injection molding process control method, those skilled in the art can clearly know the injection molding process control system of the present embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0121] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0122] Exemplary Electronic Devices

[0123] Reference below Figure 5 To describe the electronic device of the present application.

[0124] Based on the same inventive concept as an injection molding process control method in the aforementioned embodiment, the present application also provides an injection molding process control system, including: a processor, the processor is coupled to a memory, the memory is used to store a program, when the program is executed by the processor, the system executes the method described in any one of the embodiments.

[0125] The electronic device 300 includes: a processor 302, a communication interface 303, and a memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. The communication interface 303, the processor 302, and the memory 301 may be interconnected via the bus architecture 304; the bus architecture 304 may be a peripheral component interconnection standard bus or an extended industrial standard structure bus. The bus architecture 304 may be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0126] Processor 302 may be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for controlling the execution of the program of the present application. Communication interface 303 uses any transceiver-like device for communicating with other devices or communication networks, such as Ethernet, wireless access network, wireless local area network, wired access network, etc. Memory 301 may be a ROM or other types of static storage devices that can store static information and instructions, a RAM or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory, a read-only optical disc or other optical disc storage, an optical disc storage, a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer, but is not limited thereto. The memory may be independent and connected to the processor via a bus architecture 304. The memory may also be integrated with the processor.

[0127] The memory 301 is used to store computer-executable instructions for executing the solution of the present application, and the execution is controlled by the processor 302. The processor 302 is used to execute the computer-executable instructions stored in the memory 301, thereby realizing a method for controlling the processing technology of injection molded parts provided in the present application.

[0128] Optionally, the computer-executable instructions in the present application may also be referred to as application code, which is not specifically limited in the present application.

[0129] The present application solves the technical problem in the prior art that the precision of injection molding process control is not high, which results in poor control effect of injection molding process control. The application achieves the goal of improving the precision and accuracy of injection molding process control, thereby improving the effect and quality of injection molding process control; at the same time, a method for optimizing injection molding process control is designed, which lays the foundation for the further development of injection molding process control.

[0130] Those skilled in the art will understand that the various digital numbers such as the first and second involved in this application are only for the convenience of description, and are not used to limit the scope of this application, nor do they indicate a sequence of precedence. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects associated with each other are in an "or" relationship. "At least one" refers to one or more. At least two refers to two or more. "At least one", "any one" or similar expressions refer to any combination of these items, including any combination of single items (individuals) or plural items (individuals). For example, at least one item (individual, kind) of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0131] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in this application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions can be transmitted from a website site, a computer, a server or a data center to another website site, a computer, a server or a data center by wired or wireless means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server, a data center, etc. that includes one or more available media integrated. The available medium can be a magnetic medium, an optical medium, or a semiconductor medium, etc.

[0132] The various illustrative logic units and circuits described in this application can be implemented or operated by a general-purpose processor, a digital signal processor, an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination of the above. The general-purpose processor can be a microprocessor, and optionally, the general-purpose processor can also be any conventional processor, controller, microcontroller or state machine. The processor can also be implemented by a combination of computing devices, such as a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.

[0133] The steps of the method or algorithm described in this application can be directly embedded in hardware, software units executed by a processor, or a combination of the two. The software unit can be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, register, hard disk, removable disk, CD-ROM or any other form of storage medium in the art. Exemplarily, the storage medium can be connected to the processor so that the processor can read information from the storage medium and write information to the storage medium. Optionally, the storage medium can also be integrated into the processor. The processor and the storage medium can be arranged in an ASIC, and the ASIC can be arranged in a terminal. Optionally, the processor and the storage medium can also be arranged in different components in the terminal. These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are performed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide for implementing the process in the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0134] Although the present application has been described in conjunction with specific features and embodiments thereof, it will be apparent that various modifications and combinations thereof can be made without departing from the spirit and scope of the present application.

[0135] Accordingly, this specification and the accompanying drawings are merely exemplary illustrations of the present application and are deemed to have covered any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, those skilled in the art may make various modifications and variations 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 is intended to include these modifications and variations.

Claims

1. A method for controlling the processing technology of injection molded parts, characterized in that: The method is applied to a processing technology control system, the processing technology control system is communicatively connected with a temperature sensor, and the method comprises: Obtaining first injection molded part structural information, performing structural feature analysis on the structural information, and obtaining a first feature analysis result; Obtaining first injection molding material information, performing preliminary speed classification setting according to the first characteristic analysis result and the first injection molding material information, and obtaining a first speed classification result; Obtaining first gate position information, performing injection molding process fitting according to the first gate position information and the first speed classification result, and obtaining a first classification speed control result according to the fitting result, wherein the first classification speed control result includes a temperature fitting parameter of a classification node; Performing processing control on the first injection molded part according to the first classification speed control result, and collecting temperatures of classification nodes by using the temperature sensor to obtain a first temperature collection set; Inputting the first temperature collection set and the temperature fitting parameters into a same-node speed optimization model to obtain a first compensation graded speed adjustment result; Adjusting the first graded speed control result according to the first compensated graded speed adjustment result to obtain a second graded speed control result; performing processing control of the first injection molded part according to the second graded speed control result; The processing control system is also in communication with the image acquisition device, and the method further includes: Performing image acquisition on the processing result of the first injection molded part by the image acquisition device to obtain a first image acquisition result; Construct a set of injection molding defect features through big data; Perform feature matching of the first image acquisition result according to the injection molding defect feature set to obtain a first feature matching result, wherein the first feature matching result includes a defect similarity parameter; Obtaining a first speed adjustment optimization parameter according to the first feature matching result; Adjust the second graded speed control result according to the first speed adjustment optimization parameter to obtain a third graded speed control result; Performing processing control of injection molded parts with the same parameters according to the third graded speed control result; The method further comprises: Obtaining first positioning identification information according to the first feature matching result; Constructing a characteristic abnormality impact correlation degree according to the first positioning identification information and the hierarchical nodes of the second hierarchical speed control result to obtain a first construction result; The first speed adjustment optimization parameter is obtained according to the first construction result and the first feature matching result.

2. The method according to claim 1, characterized in that The method further comprises: constructing a first thin-thick wall segmentation feature, and performing structural segmentation of the structural information according to the first thin-thick wall segmentation feature to obtain a first segmentation result; Obtaining dimension parameter information of the first injection molded part, and performing characteristic degree identification of the first segmentation result according to the dimension parameter information to obtain a first characteristic degree identification result; The first feature analysis result is obtained according to the first segmentation result and the first feature degree identification result.

3. The method according to claim 2, characterized in that The method further comprises: Perform cross-structure recognition according to the structural information to obtain a first cross-structure recognition result; Obtaining intersection bifurcation quantity information according to the first intersection structure recognition result, and obtaining a second characteristic degree identification result according to the intersection bifurcation quantity information; Obtaining a third characteristic degree identification result of the first cross structure recognition result according to the size parameter information; The first feature analysis result is obtained according to the first cross structure recognition result, the second feature degree identification result and the third feature degree identification result.

4. The method according to claim 1, characterized in that The method further comprises: Obtaining a first sampling measurement point set; The temperature sensor is used to collect continuous changes in the temperature parameters of the first sampling point set to obtain a second temperature collection set; Comparing the fitted temperature change information of the second temperature acquisition set and the first sampling measurement point set to obtain a first deviation result; Obtaining a first mold adjustment temperature according to the first deviation result; The first injection molded part processing control is performed according to the temperature of the first mold.

5. The method according to claim 1, characterized in that The method further comprises: Obtain quality and efficiency balance parameters; Evaluate the processed injection molded part of the second graded speed control result according to the quality and efficiency balance parameter to obtain a first evaluation result; Obtaining a first modified speed control parameter according to the first evaluation result; adjusting the second graded speed control result according to the first modified speed control parameter to obtain a fourth graded speed control result; Processing control of injection molded parts with the same parameters is performed according to the fourth graded speed control result.

6. An injection molding process control system, characterized in that: The system is used to execute the method according to any one of claims 1 to 5, and the system comprises: A first obtaining unit, the first obtaining unit is used to obtain structural information of a first injection molded part, perform structural feature analysis on the structural information, and obtain a first feature analysis result; a second obtaining unit, the second obtaining unit being used to obtain first injection molding material information, perform preliminary speed classification setting according to the first characteristic analysis result and the first injection molding material information, and obtain a first speed classification result; a third obtaining unit, the third obtaining unit being used to obtain first gate position information, perform injection molding process fitting according to the first gate position information and the first speed classification result, and obtain a first classification speed control result according to the fitting result, wherein the first classification speed control result includes a temperature fitting parameter of a classification node; a fourth obtaining unit, the fourth obtaining unit being used to perform processing control of the first injection molded part according to the first classification speed control result, and to collect temperatures of classification nodes through a temperature sensor to obtain a first temperature collection set; A fifth obtaining unit, the fifth obtaining unit is used to input the first temperature collection set and the temperature fitting parameter into a same-node speed optimization model to obtain a first compensation graded speed adjustment result; a sixth obtaining unit, the sixth obtaining unit being configured to adjust the first graded speed control result according to the first compensation graded speed adjustment result to obtain a second graded speed control result; A first execution unit is used to perform processing control of the first injection molded part according to the second graded speed control result.

7. An injection molding process control system, characterized in that: It comprises: a processor, the processor is coupled to a memory, the memory is used to store a program, when the program is executed by the processor, the system executes the steps of the method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, which implements the steps of the method according to any one of claims 1 to 5 when executed by a processor.

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