Plastic production and manufacturing intelligent control method and system based on digital twinning

Abstract

The invention relates to the technical field of plastic production, in particular to an intelligent control method and system for plastic production and manufacturing based on digital twinning. The method comprises the following steps: acquiring and setting parameters of each process in a production line by taking a finished product specification of a preset finished product as a target, and constructing a digital twin model of the production line; under the condition that the injection molding finished product does not conform to the preset finished product, a procedure backtracking strategy is executed based on the specification of the injection molding finished product; the process backtracking strategy is used for comparing the difference between the injection molding finished product and the preset finished product, and determining a to-be-adjusted production process in the production line based on the difference; adjusting process parameters of a virtual process in the digital twin model corresponding to the to-be-adjusted production process according to a preset mode until an injection molding finished product in the digital twin model meets the finished product specification; and the process parameters of the corresponding to-be-adjusted process are modified based on the adjusted process parameters of the virtual process, so that the problem of relatively low fault cause detection efficiency is avoided.

Description

Technical Field

[0001] The present application relates to the field of plastic production technology, and in particular to an intelligent control method and system for plastic production and manufacturing based on digital twins. Background Art

[0002] In the direction of plastic production and manufacturing, the traditional plastic production and manufacturing process faces many challenges. On the one hand, manual operation cannot ensure the high accuracy of production, which affects the overall quality of the product and corporate benefits. On the other hand, there is a lack of precise coordination between various production links, which slows down the overall production rhythm. Therefore, intelligent control of plastic production and manufacturing has now become an inevitable trend.

[0003] However, in the current process of intelligently controlling plastic production and manufacturing, when unqualified finished products occur, it is still necessary to rely on human experience to judge the cause of the unqualified products, and the efficiency of fault cause detection is low. Summary of the invention

[0004] Based on this, it is necessary to provide an intelligent control method and system for plastic production and manufacturing based on digital twins to address the above technical problems.

[0005] In a first aspect, the present application provides an intelligent control method for plastic production and manufacturing, which is applied to an injection molding production line; the method comprises:

[0006] Acquire and set the parameters of each process in the production line with the preset finished product specifications as the target, and construct a digital twin model of the production line;

[0007] In the case that the injection molded product does not match the preset product, a process backtracking strategy is executed based on the specifications of the injection molded product; the process backtracking strategy is used to compare the differences between the injection molded product and the preset product, and determine the production process to be adjusted in the production line based on the differences;

[0008] Adjust the process parameters of the virtual process in the digital twin model corresponding to the production process to be adjusted in a preset manner until the injection molded product in the digital twin model meets the finished product specifications;

[0009] The process parameters of the corresponding process to be adjusted are modified based on the process parameters of the adjusted virtual process.

[0010] In one embodiment, the production process includes a mold closing process, a material adding process, a melting process, an injection process, a pressure holding process and a cooling process performed in sequence; the method also includes:

[0011] Acquire image data of the injection molded product, and perform grayscale preprocessing on the image data to obtain preprocessed image data;

[0012] Extracting image features of preprocessed image data, and performing pixel analysis on the image features to obtain specifications of the injection molded product to be inspected;

[0013] The specifications to be inspected are compared with the specifications of the finished product, and a process backtracking strategy is executed when the comparison results are different, including: outputting a first prompt message in response to the specifications to be inspected being larger than the specifications of the finished product, and outputting a second prompt message in response to the specifications of the finished product being larger than the specifications to be inspected; the first prompt message is used to indicate that the mold clamping pressure of the mold clamping process is insufficient, the injection pressure of the injection process is excessive, or the cooling water flow of the cooling process is insufficient; the second prompt message is used to indicate that the feeding rhythm of the feeding process is missed, the melting temperature of the melting process is insufficient, the injection pressure of the injection process is insufficient, or the holding pressure of the holding process is insufficient.

[0014] In one embodiment, the method further comprises:

[0015] In response to the first prompt information, the process parameters of the mold closing process, the injection process and the cooling process are checked in sequence; if the check result is normal, a prompt information indicating that the first parameter is to be adjusted is output, otherwise, a prompt information indicating that the parameter is wrong and corresponds to the abnormal production process is output;

[0016] In response to the second prompt information, the feeding process, melting process, injection process and pressure holding process are checked in sequence; if the inspection result is normal, the second parameter adjustment prompt information is output, otherwise the parameter error prompt information corresponding to the abnormal production process is output.

[0017] In one embodiment, the step of adjusting the process parameters of the virtual process in the digital twin model corresponding to the production process to be adjusted in a preset manner until the injection molded product in the digital twin model meets the finished product specifications includes:

[0018] Taking the process parameters corresponding to the prompt information of the first parameter to be adjusted as the benchmark and the finished product specifications as the target, the process parameters of the corresponding virtual processes are adjusted in the digital twin model in sequence according to the preset percentages until the injection molded product in the digital twin model meets the finished product specifications;

[0019] Taking the process parameters corresponding to the prompt information of the second parameter to be adjusted as the benchmark and the finished product specifications as the target, the process parameters of the corresponding virtual processes are adjusted in the digital twin model in sequence according to the preset percentages until the injection molded product in the digital twin model meets the finished product specifications.

[0020] In one embodiment, the method further comprises:

[0021] If the process parameters of the corresponding virtual processes are adjusted in sequence according to the preset percentages, and the injection molded product that still meets the finished product specifications cannot be obtained in the digital twin model, a third prompt information is output; the third prompt information is used to indicate mold damage or shear gate defects;

[0022] In response to the third prompt information, the pre-processed image data is divided into a plurality of to-be-identified areas according to different forms of various parts of the injection-molded finished product, and the finished product specifications of each to-be-identified area are determined;

[0023] The preset finished products are divided accordingly, and when the finished product specifications of any area to be identified do not correspond to the preset finished products after the division, it is determined whether the non-corresponding area to be identified is at the gate position;

[0024] If yes, then output the shear gate defect prompt information, otherwise output the mold damage prompt information.

[0025] In one embodiment, the method further comprises:

[0026] According to the equipment structure and sensor position of each production process, the virtual process in the corresponding digital model is simulated and designed to obtain the digital model of the production line;

[0027] Based on the parameters of each process, the motion script of the corresponding virtual process is compiled to obtain the target model;

[0028] Build data channels between each production process and the virtual process to achieve data synchronization and obtain a digital twin model of the production line.

[0029] In the second aspect, the present application provides an intelligent control system for plastic production and manufacturing based on digital twins, which is applied to injection molding production lines; the system includes:

[0030] A setting device, used to obtain and set parameters of each process in the production line with the finished product specifications of the preset finished product as the target, and to construct a digital twin model of the production line;

[0031] An execution device, used for executing a process backtracking strategy based on the specifications of the injection molded product when the injection molded product does not conform to the preset product; the process backtracking strategy is used for comparing the difference between the injection molded product and the preset product, and determining the production process to be adjusted in the production line based on the difference;

[0032] An adjustment device, used to adjust the process parameters of the virtual process in the digital twin model corresponding to the production process to be adjusted in a preset manner until the injection molded product in the digital twin model meets the finished product specifications;

[0033] The modification device is used to modify the process parameters of the corresponding process to be adjusted based on the process parameters of the adjusted virtual process.

[0034] In a third aspect, the present application provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the method provided in the first aspect of the present application are implemented.

[0035] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method provided in the first aspect of the present application.

[0036] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the method provided in the first aspect of the present application.

[0037] The above-mentioned intelligent control method and system for plastic production and manufacturing based on digital twins can ensure that the parameters of each process in the production line meet the manufacturing requirements by pre-setting the finished product specifications of the finished product, and then construct a digital twin model with the same process parameters according to the set production line parameters. Therefore, when the injection molded product produced does not meet the preset finished product specifications, by comparing the differences between the injection molded product and the preset finished product parts, the corresponding problematic process can be found, and the process parameters of the virtual process in the digital twin model are gradually adjusted and the specifications of the injection molded product in the digital twin model are monitored to obtain the process parameters that can produce the finished product specifications of the preset finished product as the process parameters of the actual production line. Then, when the process parameters are set based on experience or the parameters of each process change due to wear, environment, failure and other factors, the process with parameter changes can be effectively determined and the process parameters can be quickly adjusted, avoiding the problem of low efficiency in fault cause detection caused by relying on human experience to judge the cause of unqualified finished products. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 A schematic diagram of the steps of executing a process backtracking strategy in one embodiment;

[0040] Figure 2 A schematic diagram of the steps of determining the cause of a fault based on prompt information in an embodiment;

[0041] Figure 3 A schematic diagram of a step for further determining the cause of a fault in an embodiment;

[0042] Figure 4 A schematic diagram of the steps of building a digital twin model in an embodiment;

[0043] Figure 5This is a structural block diagram of an intelligent control system for plastic production and manufacturing based on digital twins in one embodiment. DETAILED DESCRIPTION

[0044] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present application, so the present application is not limited by the specific embodiments disclosed below.

[0045] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "plurality" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0046] In an exemplary embodiment, Figure 1 As shown, the present application provides an intelligent control method for plastic production, which is applied to an injection molding process production line; the method includes the following steps S102 to S108. Among them:

[0047] Step S102, obtaining and setting the parameters of each process in the production line with the preset finished product specifications as the target, and constructing a digital twin model of the production line.

[0048] Among them, the preset finished products may include plastic products designed based on customer needs; the parameters of each process in the production line may include equipment parameters of the equipment corresponding to each process on the production line and sensor parameters used to detect the production process.

[0049] Specifically, the finished product specifications may include the size and shape of the plastic product.

[0050] Step S104, when the injection molded product does not match the preset product, a process backtracking strategy is executed based on the specifications of the injection molded product; the process backtracking strategy is used to compare the differences between the injection molded product and the preset product, and determine the production process to be adjusted in the production line based on the differences.

[0051] Specifically, the difference between the injection molded product and the preset product can be clarified based on the specifications of the injection molded product, so that the process causing the difference can be determined as the process to be adjusted.

[0052] Step S106, adjusting the process parameters of the virtual process in the digital twin model corresponding to the production process to be adjusted in a preset manner until the injection molded product in the digital twin model meets the finished product specifications.

[0053] Among them, the preset method can be to gradually adjust the virtual parameters of each corresponding device in the digital twin model according to the preset amplitude, and monitor the difference between the injection molded product in the digital twin model and the preset finished product.

[0054] Step S108: modifying the process parameters of the corresponding process to be adjusted based on the adjusted process parameters of the virtual process.

[0055] The above-mentioned intelligent control method and system for plastic production and manufacturing based on digital twins can ensure that the parameters of each process in the production line meet the manufacturing requirements by pre-setting the finished product specifications of the finished product, and then construct a digital twin model with the same process parameters according to the set production line parameters. Therefore, when the injection molded product produced does not meet the preset finished product specifications, by comparing the differences between the injection molded product and the preset finished product parts, the corresponding problematic process can be found, and the process parameters of the virtual process in the digital twin model are gradually adjusted and the specifications of the injection molded product in the digital twin model are monitored to obtain the process parameters that can produce the finished product specifications of the preset finished product as the process parameters of the actual production line. Then, when the process parameters are set based on experience or the parameters of each process change due to wear, environment, failure and other factors, the process with parameter changes can be effectively determined and the process parameters can be quickly adjusted, avoiding the problem of low efficiency in fault cause detection caused by relying on human experience to judge the cause of unqualified finished products.

[0056] In an exemplary embodiment, the production process includes a mold closing process, a material adding process, a melting process, an injection process, a pressure holding process and a cooling process performed in sequence; Figure 2 As shown, the method further includes the following steps S202 to S206. Among them:

[0057] Step S202, acquiring image data of the injection molded product, and performing grayscale preprocessing on the image data to obtain preprocessed image data.

[0058] Specifically, the contrast of the image is improved by performing grayscale preprocessing to determine clear image edges.

[0059] Step S204, extracting image features of the pre-processed image data, and performing pixel analysis on the image features to obtain specifications of the injection molded product to be inspected.

[0060] Specifically, the area of ​​the image can be determined based on the number of pixels, so that the size and shape of the injection-molded product can be determined based on the image area as the specifications to be inspected for the injection-molded product.

[0061] Step S206, compare the specifications to be inspected with the specifications of the finished product, and execute the process backtracking strategy when the comparison results are different, including: outputting a first prompt message in response to the specifications to be inspected being larger than the specifications of the finished product, and outputting a second prompt message in response to the specifications of the finished product being larger than the specifications to be inspected; the first prompt message is used to indicate that the mold clamping pressure of the mold clamping process is insufficient, the injection pressure of the injection process is excessive, or the cooling water flow of the cooling process is insufficient; the second prompt message is used to indicate that the feeding rhythm of the feeding process is missed, the melting temperature of the melting process is insufficient, the injection pressure of the injection process is insufficient, or the holding pressure of the holding process is insufficient.

[0062] It should be noted that if there is insufficient clamping pressure during the injection molding process, the plastic will seep out of the mold, making the specifications to be inspected larger than the preset specifications of the finished product; if there is excessive injection pressure, it will also cause pressure to seep out from the clamping point of the mold; if there is insufficient cooling water flow, the plastic in the mold may not be cooled completely within the preset cooling time, causing flow, resulting in the specifications to be inspected larger than the finished product specifications.

[0063] Furthermore, if the feeding rhythm is missed, resulting in the feeding amount being less than the used amount, part of the product will be missing, making the preset finished product specifications larger than the specifications to be inspected; if the melting temperature is insufficient, the plastic fluidity is not strong, and the push rod cannot effectively push the molten plastic into the mold, resulting in the preset finished product specifications being larger than the specifications to be inspected; if the injection pressure is insufficient or the holding pressure is insufficient, shrinkage marks, air holes and insufficient filler cannot be avoided, resulting in the preset finished product specifications being larger than the specifications to be inspected.

[0064] In an exemplary embodiment, the method further comprises the following steps:

[0065] In response to the first prompt information, the process parameters of the mold closing process, the injection process and the cooling process are checked in sequence; if the check result is normal, a prompt information indicating that the first parameter is to be adjusted is output, otherwise, a prompt information indicating that the parameter is wrong and corresponds to the abnormal production process is output;

[0066] In response to the second prompt information, the feeding process, melting process, injection process and pressure holding process are checked in sequence; if the inspection result is normal, the second parameter adjustment prompt information is output, otherwise the parameter error prompt information corresponding to the abnormal production process is output.

[0067] Among them, the first parameter adjustment prompt information is used to indicate that the original parameters in the mold closing process, injection process or cooling process cannot effectively produce the preset finished product due to environmental, wear and tear problems, and the parameter error prompt information is used to indicate that there is a production process with incorrect parameter settings.

[0068] Furthermore, the second parameter to be adjusted prompt information is used to indicate that the original parameters in the feeding process, melting process, injection process and pressure holding process cannot effectively produce the preset finished product due to environmental, wear and tear and other problems.

[0069] In an exemplary embodiment, the process parameters of the virtual process in the digital twin model corresponding to the production process to be adjusted are adjusted in a preset manner until the injection molded product in the digital twin model meets the finished product specifications:

[0070] Taking the process parameters corresponding to the prompt information of the first parameter to be adjusted as the benchmark and the finished product specifications as the target, the process parameters of the corresponding virtual processes are adjusted in the digital twin model in sequence according to the preset percentages until the injection molded product in the digital twin model meets the finished product specifications;

[0071] Taking the process parameters corresponding to the prompt information of the second parameter to be adjusted as the benchmark and the finished product specifications as the target, the process parameters of the corresponding virtual processes are adjusted in the digital twin model in sequence according to the preset percentages until the injection molded product in the digital twin model meets the finished product specifications.

[0072] The preset percentage is used to indicate the adjustment range.

[0073] Specifically, the correspondence between each process parameter and the injection molded product can be used to determine the specification changes of the injection molded product corresponding to increasing or decreasing the process parameters, and then adjust the process parameters of the virtual process of the digital twin model.

[0074] In an exemplary embodiment, Figure 3 As shown, the method further includes the following steps S302 to S308. Among them:

[0075] Step S302: If the process parameters of the corresponding virtual processes are adjusted in sequence according to the preset percentages, and the digital twin model still cannot obtain an injection molded product that meets the finished product specifications, a third prompt message is output; the third prompt message is used to indicate mold damage or shear gate defects.

[0076] Step S304, in response to the third prompt information, the pre-processed image data is divided into a plurality of to-be-identified areas according to the different forms of various parts of the injection-molded finished product, and the finished product specification of each to-be-identified area is determined.

[0077] Specifically, the segmented areas are determined by dividing the injection molded product according to the parts.

[0078] Step S306, dividing the preset finished products accordingly, and when it is determined that the finished product specifications of any area to be identified do not correspond to the preset finished products after division, it is determined whether the non-corresponding area to be identified is at the gate position.

[0079] Specifically, when the specifications of the preset finished product and the injection molded finished product are the same, the specifications of the corresponding divided areas to be identified should also be the same, so as to determine that the area to be identified corresponds to the same area divided by the preset finished product.

[0080] Step S308: If yes, output the shear gate defect prompt information, otherwise output the mold damage prompt information.

[0081] In an exemplary embodiment, Figure 4 As shown, the method further includes the following steps S402 to S406. Among them:

[0082] Step S402 , respectively simulating and designing virtual processes in the digital model corresponding to the equipment structure and sensor position of each production process, to obtain a digital model of the production line.

[0083] Specifically, a production mapping model can be constructed based on the equipment, and values ​​can be assigned to the corresponding mapping model based on the equipment parameters, and then the connection relationship between the equipment in each production process can be established, that is, the algorithm model.

[0084] Step S404, compiling a motion script of a corresponding virtual process based on the parameters of each process to obtain a target model.

[0085] Specifically, the motion relationship of the virtual equipment is displayed by compiling the motion script of each device, and the calculation process corresponding to the motion relationship is obtained based on the algorithm model, thereby obtaining a model that can imitate the production line movements without being connected to the real production line.

[0086] Step S406: Build a data channel between each production process and the virtual process to achieve data synchronization and obtain a digital twin model of the production line.

[0087] Specifically, through data synchronization, the target model is driven to perform the same actions as the real production line to obtain a digital twin model, which is used to monitor and predict the status of the production line.

[0088] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0089] Based on the same inventive concept, the embodiment of the present application also provides a plastic production and manufacturing intelligent control system based on digital twins for realizing the above-mentioned plastic production and manufacturing intelligent control method based on digital twins. The implementation scheme for solving the problem provided by the system is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in one or more embodiments of the plastic production and manufacturing intelligent control system based on digital twins provided below can be referred to the limitations of the plastic production and manufacturing intelligent control method based on digital twins above, and will not be repeated here.

[0090] Second, as Figure 5 As shown, the present application also provides a plastic production and manufacturing intelligent control system 500 based on digital twin, which is applied to the injection molding process production line; the system includes:

[0091] The setting device 501 is used to obtain and set the parameters of each process in the production line with the finished product specifications of the preset finished product as the target, and construct a digital twin model of the production line;

[0092] The execution device 502 is used to execute a process backtracking strategy based on the specifications of the injection molded product when the injection molded product does not conform to the preset product; the process backtracking strategy is used to compare the difference between the injection molded product and the preset product, and determine the production process to be adjusted in the production line based on the difference;

[0093] The adjusting device 503 is used to adjust the process parameters of the virtual process in the digital twin model corresponding to the production process to be adjusted in a preset manner until the injection molded product in the digital twin model meets the finished product specifications;

[0094] The modifying device 504 is used to modify the process parameters of the corresponding process to be adjusted based on the process parameters of the adjusted virtual process.

[0095] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of a building material detection method as described above are implemented.

[0096] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of a building material detection method as described above when the computer program is executed by a processor.

[0097] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of a building material detection method as described above.

[0098] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0099] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0100] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the present application. It should be noted that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. An intelligent control method for plastic production based on digital twin, characterized in that: Applied to an injection molding process production line; the method comprises: Acquire and set parameters of each process in the production line with the finished product specifications of the preset finished product as the target, and construct a digital twin model of the production line; In the case where the injection molded product does not conform to the preset product, a process backtracking strategy is executed based on the specifications of the injection molded product; the process backtracking strategy is used to compare the difference between the injection molded product and the preset product, and determine the production process to be adjusted in the production line based on the difference; Adjusting the process parameters of the virtual process in the digital twin model corresponding to the production process to be adjusted in a preset manner until the injection molded product in the digital twin model meets the finished product specifications; The corresponding process parameters of the process to be adjusted are modified based on the adjusted process parameters of the virtual process.

2. The method according to claim 1, characterized in that The production process includes a mold closing process, a material adding process, a melting process, an injection process, a pressure holding process and a cooling process which are performed in sequence; the method also includes: Acquiring image data of the injection-molded product, and performing grayscale preprocessing on the image data to obtain preprocessed image data; Extracting image features of the preprocessed image data, and performing pixel point analysis on the image features to obtain specifications of the injection molded product to be inspected; The specifications to be inspected are compared with the specifications of the finished product, and the process backtracking strategy is executed when the comparison results are different, including: outputting a first prompt message in response to the specifications to be inspected being larger than the specifications of the finished product, and outputting a second prompt message in response to the specifications of the finished product being larger than the specifications to be inspected; the first prompt message is used to indicate that the mold clamping pressure of the mold clamping process is insufficient, the injection pressure of the injection process is excessive, or the cooling water flow of the cooling process is insufficient; the second prompt message is used to indicate that the feeding rhythm of the feeding process is missed, the melting temperature of the melting process is insufficient, the injection pressure of the injection process is insufficient, or the holding pressure of the holding process is insufficient.

3. The method according to claim 2, characterized in that The method further comprises: In response to the first prompt information, sequentially check the process parameters of the mold closing process, the injection process and the cooling process; if the check result is normal, output a prompt information that the first parameter needs to be adjusted; otherwise, output a prompt information that the parameter is wrong corresponding to the abnormal production process; In response to the second prompt information, the feeding process, the melting process, the injection process and the pressure holding process are checked in sequence; if the inspection result is normal, a second parameter adjustment prompt information is output, otherwise a parameter error prompt information corresponding to the abnormal production process is output.

4. The method according to claim 3, characterized in that The step of adjusting the process parameters of the virtual process in the digital twin model corresponding to the production process to be adjusted in a preset manner until the injection molded product in the digital twin model meets the finished product specifications includes: Taking the process parameters corresponding to the prompt information of the first parameter to be adjusted as a benchmark and the finished product specifications as a target, sequentially adjusting the process parameters of the corresponding virtual processes in the digital twin model according to preset percentages until the injection molded product in the digital twin model meets the finished product specifications; Taking the process parameters corresponding to the prompt information of the second parameter to be adjusted as the benchmark and the finished product specifications as the target, the process parameters of the corresponding virtual processes are adjusted in the digital twin model in sequence according to preset percentages until the injection molded product in the digital twin model meets the finished product specifications.

5. The method according to claim 4, characterized in that The method further comprises: If the process parameters of the corresponding virtual processes are adjusted in sequence according to the preset percentages, and the injection molded product that still meets the finished product specifications cannot be obtained in the digital twin model, a third prompt information is output; the third prompt information is used to indicate mold damage or shear gate defects; In response to the third prompt information, the pre-processed image data is divided into a plurality of to-be-identified areas according to different forms of various parts of the injection-molded finished product, and the finished product specification of each to-be-identified area is determined; The preset finished products are divided accordingly, and when it is determined that the finished product specifications of any area to be identified do not correspond to the preset finished products after the division, it is determined whether the non-corresponding area to be identified is at the gate position; If yes, then output the shear gate defect prompt information, otherwise output the mold damage prompt information.

6. The method according to claim 1, characterized in that The method further comprises: According to the equipment structure and sensor position of each production process, the virtual process in the digital model corresponding to the simulation design is respectively obtained to obtain the digital model of the production line; Based on the process parameters, a motion script of the corresponding virtual process is compiled to obtain a target model; A data channel is established between each of the production processes and the virtual process to achieve data synchronization and obtain a digital twin model of the production line.

7. An intelligent control system for plastic production based on digital twins, characterized in that: Applicable to injection molding production line; the system comprises: A setting device, used to obtain and set parameters of each process in the production line with the finished product specifications of the preset finished product as the target, and construct a digital twin model of the production line; An execution device, used for executing a process backtracking strategy based on the specifications of the injection molded product when the injection molded product does not conform to the preset product; the process backtracking strategy is used for comparing the difference between the injection molded product and the preset product, and determining the production process to be adjusted in the production line based on the difference; An adjustment device, used for adjusting the process parameters of the virtual process in the digital twin model corresponding to the production process to be adjusted in a preset manner until the injection molded product in the digital twin model meets the finished product specifications; The modification device is used to modify the corresponding process parameters of the process to be adjusted based on the adjusted process parameters of the virtual process.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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