Intelligent control method and system for plastic production based on digital twin

Abstract

The present application relates to the field of plastic production technology, and in particular to a method and system for intelligent control of plastic production based on digital twins. The method comprises: obtaining and setting parameters for each process in a production line with the finished product specifications of a preset finished product as a target, and constructing a digital twin model of the production line; when the injection molded product does not conform to the preset finished product, executing a process backtracking strategy 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 finished product, and based on the differences, determine the production process to be adjusted in the production line; adjusting the process parameters of the virtual process in the digital twin model corresponding to the production process to be adjusted according to a preset method until the injection molded product in the digital twin model meets the finished product specifications; modifying the process parameters of the corresponding process to be adjusted based on the process parameters of the adjusted virtual process, thereby avoiding the problem of low efficiency in fault cause detection.

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 field of plastic production and manufacturing, the traditional plastic production and manufacturing process faces many challenges. On the one hand, manual operation cannot ensure high production accuracy, affecting 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 a finished product fails to meet standards, human experience is still needed to determine the cause of the failure, resulting in low efficiency in fault cause detection. 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, which is applied to an injection molding production line; the method comprises:

[0006] Obtain and set parameters for each process in the production line based on the preset finished product specifications, and construct a digital twin model of the production line;

[0007] If the finished injection molded product does not match the preset finished product, a process backtracking strategy is implemented based on the specifications of the finished injection molded product. The process backtracking strategy is used to compare the differences between the finished injection molded product and the preset finished 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 according to the preset method until the injection molded product in the digital twin model meets the finished product specifications;

[0009] Modify the process parameters of the corresponding process to be adjusted 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; and the method further includes:

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

[0012] Extract image features from pre-processed image data and perform 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 message, the process parameters of the mold closing process, the injection process, and the cooling process are sequentially checked; if the check result is normal, a prompt message indicating that the first parameter needs to be adjusted is output; otherwise, a prompt message 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 according to a preset method until the injection molded product in the digital twin model meets the finished product specifications includes:

[0018] Based on the process parameters corresponding to the prompt information of the first parameter to be adjusted 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 sequence according to the preset percentages in the digital twin model 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 each virtual process are adjusted in sequence according to the preset percentage, 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;

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

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

[0024] If so, a shear gate defect prompt message is output; otherwise, a mold damage prompt message is output.

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

[0026] According to the equipment structure and sensor position of each production process, the corresponding virtual process in the 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 a 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 is used to obtain and set the parameters of each process in the production line with the target of the finished product specifications, and to construct a digital twin model of the production line;

[0031] An execution device 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 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;

[0032] An adjustment device, configured 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 comprising 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, comprising 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 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 various parts of the preset finished product, the corresponding problematic process can be found, and by gradually adjusting the process parameters of the virtual process in the digital twin model and monitoring the specifications of the injection molded product in the digital twin model, the process parameters that can produce the finished product specifications of the preset finished product are obtained 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 parameters of the process 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 related technologies, the following briefly introduces the drawings required for use in the embodiments or related technical descriptions. 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 any creative work.

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

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

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

[0042] Figure 4 A schematic diagram of the steps for building a digital twin model in one 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] To make the above-mentioned objects, features, and advantages of the present application more clearly understood, the specific embodiments of the present application are described in detail below with reference to the accompanying drawings. The following description sets forth many specific details to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways than those described herein, and those skilled in the art can make similar improvements without violating the scope of the present application. Therefore, the present application is not limited to the specific embodiments disclosed below.

[0045] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. Throughout the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise 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 production line; the method includes the following steps S102 to S108.

[0047] Step S102: 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.

[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 the equipment parameters of the equipment corresponding to each process on the production line and the 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 identified 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: Adjust the process parameters of the virtual process in the digital twin model corresponding to the production process to be adjusted according to a preset method 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 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 various parts of the preset finished product, the corresponding problematic process can be found, and by gradually adjusting the process parameters of the virtual process in the digital twin model and monitoring the specifications of the injection molded product in the digital twin model, the process parameters that can produce the finished product specifications of the preset finished product are obtained 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 parameters of the process 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.

[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 may be determined based on the number of pixels, and thus the size and shape of the injection-molded product may be determined based on the image area as the specifications to be inspected of 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 specification to be inspected being larger than the specification of the finished product, and outputting a second prompt message in response to the specification of the finished product being larger than the specification 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, plastic will leak out of the mold, causing the specifications to be inspected to be larger than the preset specifications of the finished product; if there is excessive injection pressure, it will also cause pressure to leak out of the mold clamping point; if there is insufficient cooling water flow, the plastic in the mold may not be cooled completely within the preset cooling time, causing it to flow, causing the specifications to be inspected to be larger than the finished product specifications.

[0063] Furthermore, if the feeding rhythm is missed, resulting in the feeding amount being less than the material usage, part of the product will be missing, making the finished product specifications of the preset finished product 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 melted plastic into the mold, resulting in the finished product specifications of the preset finished product being larger than the specifications to be inspected; if the injection pressure is insufficient or the holding pressure is insufficient, the problems of sink marks, air holes and insufficient filler cannot be avoided, resulting in the finished product specifications of the preset finished product being larger than the specifications to be inspected.

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

[0065] In response to the first prompt message, the process parameters of the mold closing process, the injection process, and the cooling process are sequentially checked; if the check result is normal, a prompt message indicating that the first parameter needs to be adjusted is output; otherwise, a prompt message 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 to be adjusted 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 adjustment 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] Based on the process parameters corresponding to the prompt information of the first parameter to be adjusted 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 sequence according to the preset percentages in the digital twin model 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.

[0075] In step S302, if the process parameters of each corresponding virtual process are adjusted in sequence according to the preset percentage, 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 regions according to the different forms of various parts of the injection-molded product, and the specifications of the finished product of each to-be-identified region are determined.

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

[0078] Step S306 , dividing the preset finished products into corresponding groups, and determining whether the non-corresponding area to be identified is at the gate position if the finished product specifications of any area to be identified do not correspond to the divided preset finished products.

[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.

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

[0083] Specifically, a production mapping model can be constructed based on the equipment, and the corresponding mapping model can be assigned values ​​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 the corresponding virtual process based on the parameters of each process to obtain a target model.

[0085] Specifically, the motion relationship of virtual devices is displayed by compiling motion scripts for 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 data channels 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 of the above embodiments are shown in sequence as indicated by the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be performed in other orders. Moreover, at least a portion of the steps in the flowcharts of the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily to be performed in sequence, but can be performed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0089] Based on the same inventive concept, the present application also provides a digital twin-based intelligent control system for plastic production and manufacturing for implementing the aforementioned digital twin-based intelligent control method for plastic production and manufacturing. The implementation solution provided by this system is similar to the implementation solution described in the aforementioned method. Therefore, the specific limitations of one or more digital twin-based intelligent control system embodiments for plastic production and manufacturing provided below can be found in the above-mentioned limitations of the digital twin-based intelligent control method for plastic production and manufacturing, 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 twins, which is applied to an injection molding process production line; the system includes:

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

[0092] An execution device 502 is configured 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 configured to compare the differences between the injection molded product and the preset product and determine a production process to be adjusted in the production line based on the differences.

[0093] An adjustment 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 according to a preset method 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 also provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the 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 the 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, comprising 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 will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented 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 memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of 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 the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.

[0099] The technical features of the above embodiments can 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 merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. An intelligent control method for plastic production based on digital twins, characterized in that: Applied to an injection molding production line; the method comprises: Obtain and set parameters for each process in the production line based on the preset finished product specifications, and construct a digital twin model of the production line; In the event that 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 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; 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; Modifying the process parameters of the corresponding production process to be adjusted based on the adjusted process parameters of the virtual process; The production process includes a mold closing process, a feeding process, a melting process, an injection process, a pressure holding process and a cooling process 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 the specifications to be inspected of the injection molded product; comparing the specifications to be inspected with the specifications of the finished product, and executing the process backtracking strategy if the comparison results are different, and specifically including: outputting a first prompt message in response to the specifications to be inspected being greater than the specifications of the finished product, and outputting a second prompt message in response to the specifications of the finished product being greater than the specifications to be inspected; the first prompt message is used to indicate that the mold closing pressure of the mold closing 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 pressure holding pressure of the pressure holding process is insufficient; The method further includes: in response to the first prompt information, sequentially checking the process parameters of the mold closing process, the injection process, and the cooling process; if the inspection result is normal, outputting a first parameter to be adjusted prompt information, otherwise outputting a parameter error prompt information corresponding to the abnormal production process; in response to the second prompt information, sequentially checking the process parameters of the feeding process, the melting process, the injection process, and the pressure holding process; if the inspection result is normal, outputting a second parameter to be adjusted prompt information, otherwise outputting a parameter error prompt information corresponding to the abnormal production process; 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: responding to the first parameter to be adjusted prompt information, taking the process parameters corresponding to the first parameter to be adjusted prompt information as a benchmark, and taking the finished product specifications as a target, adjusting the process parameters of the corresponding virtual processes 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; responding to the second parameter to be adjusted prompt information, taking the process parameters corresponding to the second parameter to be adjusted prompt information as a benchmark, and taking the finished product specifications as a target, adjusting the process parameters of the corresponding virtual processes 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; The method also includes: if the process parameters of the corresponding virtual processes are adjusted in sequence according to the preset percentage, and the injection molded product that 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 multiple areas to be identified according to the different forms of various parts of the injection molded product, and the finished product specifications of each area to be identified are determined; the preset finished products are divided accordingly, and when the finished product specifications of any area to be identified do not correspond to the finished product specifications of the preset finished product after division, it is determined whether the non-corresponding area to be identified is at the gate position; if so, a shear gate defect prompt information is output, otherwise a mold damage prompt information is output.

2. The method according to claim 1, characterized in that The method further comprises: Simulating and designing the corresponding virtual processes in the digital twin model according to the equipment structure and sensor position of each production process to obtain a digital model of the production line; Compiling a motion script of the corresponding virtual process based on each process parameter to obtain a model for simulating production line movements; 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.

3. An intelligent control system for plastic production and manufacturing based on digital twins, characterized by: The system is implemented based on the method according to any one of claims 1-2 and is applied to an injection molding process production line; The system comprises: A setting device for obtaining and setting parameters of each process in the production line with the goal of preset finished product specifications, and constructing a digital twin model of the production line; an execution device, configured 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 configured to compare the differences between the injection molded product and the preset product and determine a production process to be adjusted in the production line based on the differences; An adjustment device, configured to adjust, in a preset manner, the process parameters of the virtual process in the digital twin model corresponding to the production process to be adjusted, until the injection molded product in the digital twin model meets the finished product specifications; The modification device is used to modify the process parameters of the corresponding production process to be adjusted based on the adjusted process parameters of the virtual process.

4. 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 method according to any one of claims 1 to 2 is implemented.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 2 is implemented.

6. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 2 is implemented.

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