Digital twinning system and method of skin stretch forming device

Abstract

The invention relates to the technical field of skin stretching, in particular to a digital twinning system and method of a skin stretching forming device, and the digital twinning system comprises a physical module, a data processing module and a twinning module, the data processing module comprises a real-time data module and a connection optimization module; the system integrates high-precision simulation, real-time data feedback and an intelligent optimization algorithm, realizes digital mapping and precise regulation and control of the whole forming process of the skin component, remarkably improves the forming precision and the surface quality, accelerates process iteration, and meets the high-standard requirements of aeronautical manufacturing.

Description

Technical Field

[0001] The present invention relates to the field of skin stretching technology, and in particular to a digital twin system and method of a skin stretching forming device. Background Art

[0002] In the aviation industry, skin parts are one of the important components of typical thin-walled parts of aircraft. They are mainly used in fuselages and wings. Their aerodynamic shape is complex and their structural dimensions are large. The number of parts in a single machine accounts for about 30% of the total number of thin-walled parts. The skin is a key component to ensure its aerodynamic shape and airtightness. The requirements of light weight, high strength, and fatigue resistance make its forming and manufacturing a key technical problem in this field. The main forming methods of skin components include drop pressing, rolling and stretching. Stretching forming technology is the main technology for skin forming at present, which is a method of using jaws to clamp the two ends of the blank and cooperate with the mold to move, and the metal sheet is formed by the mold under the action of tensile and bending loads.

[0003] A large intelligent skin stretching equipment with discrete flexible clamps can meet the forming requirements of components with different curvatures to the greatest extent. In terms of control, a teaching / recording system is adopted, which has strong human-computer interaction, can effectively realize processing automation, and accurately guarantee product quality and consistency. The main innovations and principles of its core precision forming technology are: the development of a digital double workbench based on multi-degree-of-freedom motion, realizing the comprehensive CNC forming process of longitudinal and transverse pulling of aircraft skins, increasing the types and complexity of skin product stretching, and improving production efficiency. The intelligent discrete multi-jaw flexible clamp technology has been developed to realize flexible clamping of different types of arc-shaped sheets; the intelligent jaw bracket swing mechanism has been developed to realize the multi-degree-of-freedom movement of the jaws. Among them, the jaw tooth shape of the intelligent discrete flexible clamp has an important influence on the high-performance skin forming process. Aiming at the high-precision skin of typical aircraft, intelligent control is used to realize the clamping of different arc-shaped blanks. The influence of different discrete flexible clamp jaw tooth shapes on the clamping force and bite depth is analyzed by combining theoretical analysis, numerical simulation and experimental verification. The optimal jaw tooth shape of the discrete flexible clamp under the condition of certain clamping force is determined.

[0004] With the emergence of digital twin technology, a new method has been provided for controlling the forming process of large skin components and determining process parameters such as stretching force and loading trajectory. Digital twin technology is a technology that describes physical entities in digital form and establishes its virtual model, combining the actual physical system or process with its digital model. That is, a digital model of the skin stretching equipment is established in the computer, and through the display and computer network feedback, the operator can observe in real time the changes in various parameters of the skin stretching equipment and skin components when stretching the skin, as well as the data results after completion. After the stretching forming is completed, the operating parameters and physical system can be optimized by observing the real-time stretching monitoring data stored in the computer, and new performance can be added or expanded to the physical system.

[0005] Skins are mostly large curvature components, with direct deformation in the near-elastic range, insufficient plastic deformation, and severe and difficult-to-control springback of parts. Large, complex-shaped skins (such as "S"-shaped and saddle-shaped ones with concave, convex, bent and twisted, etc.) are insensitive to local point disturbances and uneven deformation, which makes it difficult to control the accuracy. During assembly, there is a certain amount of additional deformation, which causes large internal stress, thus affecting the life of the aircraft. Due to the difficulty in forming and strict requirements for structural integrity and service safety (deformation damage such as buckling and microcracks are not allowed), the forming difficulty of skins is becoming more and more difficult, and it has become a key problem and research hotspot in the field of aviation manufacturing. At the same time, with the rapid development of the aviation field, the surface quality and precision requirements of skin parts are gradually increasing. The traditional forming methods based on empirical analysis and experiments are increasingly difficult to meet the process requirements of such component forming. The advanced level of skin stretching equipment also directly affects the forming quality of components, and the application of digital twin systems to skin stretching equipment promotes the development of skin stretching forming towards precision, digitization and intelligence. Summary of the invention

[0006] The purpose of the present invention is to provide a digital twin system and method for a skin stretching forming device to solve the problem that the surface quality is difficult to accurately control during the forming process of skin parts in the aviation field, and the traditional empirical analysis and test methods are inefficient.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions: A digital twin system and method for a skin stretch forming device, comprising a physical module, a data processing module and a twin module; The physical module includes skin stretch forming equipment, skin components and various sensors, which are used to complete the creation of the physical model of the skin stretch forming equipment through parameter matching, and is responsible for converting the detected real-time status of the skin stretch forming equipment and skin components into analyzable and processable physical equipment data; The data processing module is electrically connected to the physical module and the twin module respectively. The data processing module is used to analyze the physical equipment data, integrate and process it to generate twin data, and transmit the twin data to the twin module to optimize the process parameters of the physical module. The twin module includes a server for establishing a digital twin model to generate a digital twin, which is used to monitor the operating conditions of various parts of the skin stretch forming equipment in real time and observe the forming state of the skin components in real time, and transmit the recorded real-time monitoring data to the data processing module for analysis; The data processing module includes a real-time data module and a connection optimization module. The real-time data module includes an equipment database, a sensor database, a fault database, and a diagnostic model library, and is used to receive physical equipment data and perform integrated processing to map physical entities. The connection optimization module is used to process physical equipment data and provide real-time operating status feedback to the real-time data module, while providing corresponding optimization solutions for the physical module. It also includes a control method for a digital twin system, comprising the following steps: Step S1, collecting various parameters of the skin stretch forming equipment through the physical module, establishing a physical model through the physical module, and transmitting various physical equipment data to the real-time data module; Step S2: transmitting physical model parameters to the twin module through the real-time data module, and establishing a corresponding digital twin in the twin module; Step S3, inputting preset forming parameters and stretching state of the skin component into the twin module before processing and forming the skin component, and then forming the skin component; Step S4: monitor the forming state of the skin component in real time through the digital twin in the twin module; and then complete the forming of the skin component.

[0008] A further technical solution is that in step S1, the steps of collecting various parameters of the skin stretch forming equipment through the physical module, establishing a physical model through the physical module, and transmitting various physical equipment data to the real-time data module include: Step S11: The real-time data module receives the physical equipment data and transmits it to the connection optimization module. The connection optimization module is used to process the physical equipment data and provide real-time operating status feedback to the real-time data module, while providing corresponding optimization solutions for the skin stretch forming equipment.

[0009] A further technical solution is that in step S2, the physical model parameters are transmitted to the twin module through the real-time data module, and the steps of establishing the corresponding digital twin in the twin module include: Step S21: The real-time data module integrates the physical equipment data and maps the physical entity, and the twin module establishes a digital twin model based on the mapped physical entity; Step S22: The twin module generates a corresponding digital twin based on the established digital twin model.

[0010] A further technical solution is that the digital twin model in step S21 includes a digital twin model for simulating skin stretch forming equipment and a digital twin model for simulating skin component forming.

[0011] A further technical solution is that the digital twin in step S22 includes a digital twin for real-time monitoring of the operating status of the skin stretch forming equipment and a digital twin for real-time observation of the forming state of the skin component.

[0012] A further technical solution is that in step S3, the preset forming parameters and stretching state of the skin component are input to the twin module before the skin component is processed and formed, and then the step of forming the skin component includes a skin digital stretching process flow, and the skin digital stretching process flow includes the following steps: Step S31: taking the skin components as the research objects, establishing the corresponding geometric models respectively, using the numerical simulation method to digitally develop the skin mold, analyzing the skin stretch forming process, predicting the skin mold adhesion of the skin components, and correcting the mold parameters based on the prediction results to determine the mold structure; Step S32: by analyzing the variation law of the neutral plane in the wall thickness direction and combining the finite element reverse simulation technology, a springback prediction model and calculation method based on the forming operation characteristics of the skin component are established; Step S33: by accurately calculating the mold fit of the skin component and the mold repair amount, combined with non-contact measurement and digital quantity recognition of the overall shape of the skin profile, a new mold compensation model is established to achieve accurate compensation; Step S34: Based on the process analysis results and digital technology, an automatic simulation system was developed, and a program for generating CNC parts from simulation results was realized. A device learning function based on data analysis was developed on the skin stretch forming equipment, which realized the automatic generation of optimized CNC programs after stretching. Ultimately, the digital input, digital display and intelligent control of the stretch forming process can be completed.

[0013] A further technical solution is that in step S4, the forming state of the skin component is monitored in real time by the digital twin in the twin module; and then the steps of completing the forming of the skin component include: Step S41: The twin module compares the preset forming parameters and stretching state of the skin component input into the twin module with the digital twin to determine whether the forming state of the skin component matches the preset forming parameters and stretching state of the skin component input into the twin module. If they match, the forming is completed; if not, jump to step S411, optimize and adjust the working parameters by connecting to the optimization module, and then jump to step S41.

[0014] A further technical solution is that an alarm device is provided on the twin module, and in step S4, the forming state of the skin component is monitored in real time by the digital twin in the twin module; and the steps of completing the forming of the skin component include: Step S42: The twin module compares the preset forming parameters and stretching state of the skin component input into the twin module with the digital twin to determine whether the forming process state of the skin component meets the preset forming parameter and stretching state standards in the twin module. If it does not meet the preset forming parameter and stretching state standards, the alarm device sounds an alarm and forcibly ends the forming of the skin component.

[0015] A further technical solution is that the skin stretching equipment includes a frame, a workbench, a jaw, a jaw bracket, a gantry upper workbench, a safety step and auxiliary safety devices; The rack is equipped with sensors, which are used to collect various data of the rack during operation and transmit the data to the digital twin through the data processing module for real-time analysis; There are two workbenches, and their movement trajectories are controlled and planned through the digital twin system; The clamping state of the jaws is intelligently controlled by monitoring the clamping force and deformation of the jaws in real time through the digital twin; The jaw bracket is used to install the jaws. The movement process of the jaw bracket is simulated by the digital twin and the movement of the jaw bracket is controlled. The worktable on the gantry moves according to the preset movement trajectory in the twin module; The safety platform and the auxiliary safety device are provided with sensors, which are used to collect actual operation data of the safety platform and the auxiliary safety device and transmit them to the data processing module.

[0016] Compared with the prior art, the beneficial effects of the present invention are: 1. The present invention integrates high-precision simulation, real-time data feedback and intelligent optimization algorithms to achieve digital mapping and precise control of the entire process of skin component forming, significantly improves forming accuracy and surface quality, accelerates process iteration, and meets the high standards of aviation manufacturing.

[0017] 2. The present invention collects various data of the skin stretch forming equipment in the physical module and provides it to the real-time data module. The real-time data module integrates and processes the data to map the physical entity to the twin module, and generates a digital twin in the twin module. The digital twin can observe the forming state of the skin component in real time, and transmit the recorded real-time monitoring data to the connection optimization module for analysis. The optimization scheme generated by the connection optimization module is provided to the physical module, and the optimization data is transmitted to the real-time data module to change the stretching process parameters of the skin component. The skin component can be accurately formed to achieve the expected effect.

[0018] 3. The present invention uses a facility alarm device. The twin module monitors the forming process by receiving real-time data of various parameters of the skin stretch forming equipment during forming from the real-time data module. In the twin module, the data is compared with the expected forming parameters and stretching state of the input skin component, and the analysis data is transmitted to the connection optimization module. If an abnormality occurs, the alarm device built into the connection optimization module will trigger an alarm, and convey the instruction to end the forming to the physical module through the connection optimization module. The instant feedback makes problem location quick and accurate, which is convenient for the staff to quickly take targeted solutions.

[0019] 4. The connection optimization module in the present invention can predict potential failure risks through in-depth analysis of historical data and real-time data, combined with advanced algorithms and models, and provide forward-looking failure warnings, enabling them to perform maintenance and prevention work in advance. Predictive maintenance not only improves the stability and reliability of the system, but also effectively reduces maintenance costs and avoids unnecessary downtime and production losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is the logic diagram of the digital twin system of the present invention.

[0021] Figure 2 Schematic diagram of the digital twin system of the present invention.

[0022] Figure 3 This is the digital stretching process flow of the skin of the present invention.

[0023] Figure 4 The present invention is a flow chart of the skin component forming control. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Example:

[0025] A digital twin system and method for a skin stretch forming device, comprising a physical module, a data processing module and a twin module; The physical module includes skin stretch forming equipment, skin components and various sensors. The various sensors include pressure sensors, displacement sensors, speed sensors, load sensors, tensile force sensors, temperature sensors and safety light curtain sensors. The pressure sensors, displacement sensors, speed sensors, load sensors, tensile force sensors, temperature sensors and safety light curtain sensors are built into the skin stretch forming equipment as required, and the operating status of each part of the skin stretch forming equipment is detected in real time, so as to feedback the operating status of each part of the skin stretching device, and then used to complete the creation of the physical model of the skin stretch forming equipment through parameter matching, and is responsible for converting the detected real-time status of the skin stretch forming equipment and skin components into analyzable and processable physical equipment data; The data processing module is electrically connected to the physical module and the twin module respectively. The data processing module is used to analyze the physical equipment data, integrate and process it to generate twin data, and transmit the twin data to the twin module to optimize the process parameters of the physical module. The twin module includes a server for establishing a digital twin model to generate a digital twin, which is used to monitor the operating conditions of various parts of the skin stretch forming equipment in real time and observe the forming state of the skin components in real time, and transmit the recorded real-time monitoring data to the data processing module for analysis; The data processing module includes a real-time data module and a connection optimization module. The real-time data module includes an equipment database, a sensor database, a fault database, and a diagnostic model library, and is used to receive physical equipment data and perform integrated processing to map physical entities. The connection optimization module is used to process physical equipment data and provide real-time operating status feedback to the real-time data module, while providing corresponding optimization solutions for the physical module. It also includes a control method for a digital twin system, comprising the following steps: Step S1, collecting various parameters of the skin stretch forming equipment through the physical module, establishing a physical model through the physical module, and transmitting various physical equipment data to the real-time data module; Step S2: transmitting physical model parameters to the twin module through the real-time data module, and establishing a corresponding digital twin in the twin module; Step S3, inputting preset forming parameters and stretching state of the skin component into the twin module before processing and forming the skin component, and then forming the skin component; Step S4: monitor the forming state of the skin component in real time through the digital twin in the twin module; and then complete the forming of the skin component.

[0026] In step S1, the steps of collecting various parameters of the skin stretch forming equipment through the physical module, establishing a physical model through the physical module, and transmitting various physical equipment data to the real-time data module include: Step S11: The real-time data module receives the physical equipment data and transmits it to the connection optimization module. The connection optimization module is used to process the physical equipment data and provide real-time operating status feedback to the real-time data module, while providing corresponding optimization solutions for the skin stretch forming equipment.

[0027] In step S2, the physical model parameters are transmitted to the twin module through the real-time data module, and the steps of establishing the corresponding digital twin in the twin module include: Step S21: The real-time data module integrates the physical equipment data and maps the physical entity, and the twin module establishes a digital twin model based on the mapped physical entity; Step S22: The twin module generates a corresponding digital twin based on the established digital twin model.

[0028] The digital twin model in step S21 includes a digital twin model for simulating skin stretch forming equipment and a digital twin model for simulating skin component forming.

[0029] The digital twin in step S22 includes a digital twin for real-time monitoring of the operating status of the skin stretch forming equipment and a digital twin for real-time observation of the forming state of the skin component.

[0030] In step S3, the preset forming parameters and stretching state of the skin component are input to the twin module before the skin component is processed and formed. The step of subsequently forming the skin component includes a skin digital stretching process flow, and the skin digital stretching process flow includes the following steps: Step S31: taking the skin components as the research objects, establishing the corresponding geometric models respectively, using the numerical simulation method to digitally develop the skin mold, analyzing the skin stretch forming process, predicting the skin mold adhesion of the skin components, and correcting the mold parameters based on the prediction results to determine the mold structure; Step S32: by analyzing the variation law of the neutral plane in the wall thickness direction and combining the finite element reverse simulation technology, a springback prediction model and calculation method based on the forming operation characteristics of the skin component are established; Step S33: by accurately calculating the mold fit of the skin component and the mold repair amount, combined with non-contact measurement and digital quantity recognition of the overall shape of the skin profile, a new mold compensation model is established to achieve accurate compensation; Step S34: Based on the process analysis results and digital technology, an automatic simulation system was developed, and a program for generating CNC parts from simulation results was realized. A device learning function based on data analysis was developed on the skin stretch forming equipment, which realized the automatic generation of optimized CNC programs after stretching. Ultimately, the digital input, digital display and intelligent control of the stretch forming process can be completed.

[0031] In step S4, the forming state of the skin component is monitored in real time by the digital twin in the twin module; and the steps of completing the forming of the skin component include: Step S41: The twin module compares the preset forming parameters and stretching state of the skin component input into the twin module with the digital twin to determine whether the forming state of the skin component matches the preset forming parameters and stretching state of the skin component input into the twin module. If they match, the forming is completed; if not, jump to step S411, optimize and adjust the working parameters by connecting to the optimization module, and then jump to step S41.

[0032] The twin module is provided with an alarm device. In step S4, the forming state of the skin component is monitored in real time by the digital twin in the twin module; and the steps of completing the forming of the skin component include: Step S42: The twin module compares the preset forming parameters and stretching state of the skin component input into the twin module with the digital twin to determine whether the forming process state of the skin component meets the preset forming parameter and stretching state standards in the twin module. If it does not meet the preset forming parameter and stretching state standards, the alarm device sounds an alarm and forcibly ends the forming of the skin component.

[0033] The twin module monitors the forming process by receiving real-time data of various parameters of the skin stretch forming equipment from the real-time data module. In the twin module, the expected forming parameters and stretching state of the skin component are compared with the input. The analysis data is transmitted to the connection optimization module. If an abnormality occurs, the alarm device built into the connection optimization module will trigger an alarm. The connection optimization module also conveys the instruction to end the forming to the physical module, and displays detailed fault information, including the fault type, precise location and potential causes, through the intuitive interface of the connection optimization module. This instant feedback makes problem location quick and accurate, thereby supporting staff to quickly take targeted solutions. At the same time, the connection optimization module also integrates predictive maintenance functions. This function can predict potential failure risks through in-depth analysis of historical data and real-time data, combined with advanced algorithms and models, and provides forward-looking fault warnings, allowing them to perform maintenance and prevention work in advance. Predictive maintenance not only improves the stability and reliability of the system, but also effectively reduces maintenance costs and avoids unnecessary downtime and production losses.

[0034] The skin stretching equipment includes a frame, a workbench, a jaw, a jaw bracket, a gantry upper workbench, a safety step and auxiliary safety devices; The rack is equipped with sensors, including displacement sensors, speed sensors and load sensors. The displacement sensors, speed sensors and load sensors are used to collect various data of the rack during operation, and transmit the data to the digital twin through the data processing module for real-time analysis; the digital twin can simulate the stress and deformation state of the rack in real time. Through the displacement sensors, speed sensors and load sensors arranged on the rack, the physical module can collect various data of the rack during operation, such as but not limited to stress distribution and deformation. These data will be transmitted to the digital twin for real-time analysis to predict the fatigue life of the rack and potential safety hazards. Once an abnormality is found, the alarm device in the digital twin will automatically trigger an alarm, and connect to the optimization module to analyze the data and give optimization suggestions, including but not limited to adjusting the support method and strengthening the local structure to ensure the stability and safety of the rack.

[0035] There are two workbenches, and their moving trajectories are controlled and planned through the digital twin system; the two workbenches can be used for the longitudinal drawing process at the same time, and a single one can meet the needs of the transverse drawing process. The mobile workbench can achieve precise control of the two mobile workbenches through the data processing module and the twin module. The twin module can intelligently plan the moving trajectory of the workbench to ensure that the two workbenches can work together in the longitudinal drawing process to meet the stretching requirements; in the transverse drawing process, the twin module can automatically select a single workbench for operation.

[0036] The clamping state of the jaws is intelligently controlled by the digital twin, which monitors the clamping force and deformation of the jaws in real time. The main function of the jaws is to complete the clamping of the skin sheet. The deformation of the jaws can reach a certain curvature, which can realize the clamping of different types of curved sheets. The digital twin can realize intelligent control of the clamping state of the jaws by monitoring the clamping force and deformation of the jaws in real time. The digital twin can automatically adjust the clamping strategy and clamping force of the jaws according to the preset clamping force and material properties of the workpiece to ensure that the workpiece remains stable and undamaged during the stretching process. In addition, the digital twin can also predict the wear and life of the jaws based on real-time feedback data, and give maintenance suggestions to extend the service life of the jaws and improve work efficiency.

[0037] The jaw bracket is used to install the jaws. The jaw bracket simulates its movement process through the digital twin and controls the movement of the jaw bracket. The jaw bracket is used to drive the longitudinal movement of the jaw (including swinging), pitch of the jaw, stretching of the jaw, and rotation of the jaw on the vertical plane. The digital twin can achieve precise control of the movement of the jaw bracket by simulating the movement process of the jaw bracket. The digital twin can automatically plan the movement trajectory and speed of the jaw bracket according to the preset process requirements, and achieve precise position and posture control through the servo control system. In addition, the digital twin can also automatically adjust the motion parameters of the jaw bracket based on real-time feedback data to cope with changes in workpiece size, shape and material, ensuring that the jaw bracket can complete various motion tasks efficiently and accurately. The upper workbench of the gantry moves according to the preset movement trajectory in the twin module; the upper workbench of the gantry is installed on both sides of the support jaw bracket. When the upper workbench of the gantry drops to the bottom dead center, it is flush with the center position of the jaw when it is horizontal. At the same time, the upper workbench of the gantry is convenient for installing the mold. The digital twin can achieve precise control of the horizontal movement and lifting functions of the upper and lower workbenches of the gantry. During the pressure application process, the digital twin can ensure that the gantry can apply pressure stably and evenly at any position to meet different process requirements. At the same time, through the intelligent planning of the movement trajectory of the gantry by the twin module, the digital twin can ensure that it always stays outside the jaws during the movement, providing sufficient space for loading and unloading operations, thereby avoiding interference and collision, and ensuring the safety and efficiency of the entire stretching process.

[0038] Sensors are installed on the safety platform and auxiliary safety devices, including safety light curtain sensors, load sensors and speed sensors. The safety light curtain sensors, load sensors and speed sensors are used to collect the actual operation data of the safety platform and auxiliary safety devices and transmit them to the data processing module. The safety platform and auxiliary safety devices are important components to ensure the safety of operators. The digital twin can simulate the working status of the safety platform and auxiliary safety devices in real time, and collect actual operation data through the safety light curtain sensors, load sensors and speed sensors installed on site. These data include the load-bearing conditions of the platform, the behavior patterns of operators, the switch status of safety doors or guardrails, etc. The digital twin analyzes these data to predict potential safety risks and give corresponding warnings.

[0039] Although the present invention is described herein with reference to a number of illustrative embodiments of the present invention, it will be appreciated that those skilled in the art may devise many other modifications and implementations that fall within the scope and spirit of the principles disclosed herein. More specifically, within the scope of the present disclosure, drawings, and claims, a variety of variations and modifications may be made to the components and / or layout of the subject combination layout. In addition to the variations and modifications made to the components and / or layout, other uses will also be apparent to those skilled in the art.

Claims

1. A digital twin system and method for a skin stretch forming device, characterized in that: Includes physical module, data processing module and twin module; The physical module includes skin stretch forming equipment, skin components and various sensors, and is used to complete the creation of a physical model of the skin stretch forming equipment through parameter matching, and is responsible for converting the detected real-time status of the skin stretch forming equipment and skin components into analyzable and processable physical equipment data; The data processing module is electrically connected to the physical module and the twin module respectively, and is used to analyze and integrate the physical equipment data to generate twin data and transmit the twin data to the twin module to optimize the process parameters of the physical module; The twin module includes a server, which is used to establish a digital twin model to generate a digital twin, and the digital twin is used to monitor the operating conditions of various parts of the skin stretch forming equipment in real time and observe the forming state of the skin component in real time, and transmit the recorded real-time monitoring data to the data processing module for analysis; The data processing module includes a real-time data module and a connection optimization module. The real-time data module includes an equipment database, a sensor database, a fault database and a diagnostic model library, and is used to receive physical equipment data and perform integration processing to map physical entities. The connection optimization module is used to process physical equipment data and provide real-time operating status feedback to the real-time data module, and provide corresponding optimization solutions for the physical module. It also includes a control method for a digital twin system, comprising the following steps: Step S1, collecting various parameters of the skin stretch forming equipment through the physical module, establishing a physical model through the physical module, and transmitting various physical equipment data to the real-time data module; Step S2: transmitting physical model parameters to the twin module through the real-time data module, and establishing a corresponding digital twin in the twin module; Step S3, inputting preset forming parameters and stretching state of the skin component into the twin module before processing and forming the skin component, and then forming the skin component; Step S4: monitor the forming state of the skin component in real time through the digital twin in the twin module; and then complete the forming of the skin component.

2. The digital twin system and method of a skin stretch forming device according to claim 1, characterized in that: The steps of collecting various parameters of the skin stretch forming equipment through the physical module, establishing a physical model through the physical module, and transmitting various physical equipment data to the real-time data module in step S1 include: Step S11: The real-time data module receives physical equipment data and transmits it to the connection optimization module. The connection optimization module is used to process the physical equipment data and provide real-time operating status feedback to the real-time data module, while providing corresponding optimization solutions for the skin stretch forming equipment.

3. The digital twin system and method of a skin stretch forming device according to claim 1, characterized in that: In step S2, the physical model parameters are transmitted to the twin module through the real-time data module, and the steps of establishing the corresponding digital twin in the twin module include: Step S21: the real-time data module integrates the physical equipment data and maps the physical entity, and the twin module establishes a digital twin model according to the mapped physical entity; Step S22: The twin module generates a corresponding digital twin based on the established digital twin model.

4. The digital twin system and method of the skin stretch forming device according to claim 3, characterized in that: The digital twin model in step S21 includes a digital twin model for simulating skin stretch forming equipment and a digital twin model for simulating skin component forming.

5. The digital twin system and method of the skin stretch forming device according to claim 3, characterized in that: The digital twin in step S22 includes a digital twin for real-time monitoring of the operating status of the skin stretch forming equipment and a digital twin for real-time observation of the forming state of the skin component.

6. The digital twin system and method of the skin stretch forming device according to claim 1, characterized in that: In step S3, the preset forming parameters and stretching state of the skin component are input to the twin module before the skin component is processed and formed. The step of subsequently forming the skin component includes a skin digital stretching process flow, and the skin digital stretching process flow includes the following steps: Step S31: taking the skin components as the research objects, establishing the corresponding geometric models respectively, using the numerical simulation method to digitally develop the skin mold, analyzing the skin stretch forming process, predicting the skin mold adhesion of the skin components, and correcting the mold parameters based on the prediction results to determine the mold structure; Step S32: by analyzing the variation law of the neutral plane in the wall thickness direction and combining the finite element reverse simulation technology, a springback prediction model and calculation method based on the forming operation characteristics of the skin component are established; Step S33: by accurately calculating the mold fit of the skin component and the mold repair amount, combined with non-contact measurement and digital quantity recognition of the overall shape of the skin profile, a new mold compensation model is established to achieve accurate compensation; Step S34: Based on the process analysis results and digital technology, an automatic simulation system was developed, and a program for generating CNC parts from simulation results was realized. A device learning function based on data analysis was developed on the skin stretch forming equipment, which realized the automatic generation of optimized CNC programs after stretching. Ultimately, the digital input, digital display and intelligent control of the stretch forming process can be completed.

7. A digital twin system and method for a skin stretch forming device according to claim 6, characterized in that: In step S4, the forming state of the skin component is monitored in real time by the digital twin in the twin module; and the steps of completing the forming of the skin component include: Step S41: The twin module compares the preset forming parameters and stretching state of the skin component input into the twin module with the digital twin to determine whether the forming state of the skin component matches the preset forming parameters and stretching state of the skin component input into the twin module. If they match, the forming is completed; if not, jump to step S411, optimize and adjust the working parameters by connecting the optimization module, and then jump to step S41.

8. The digital twin system and method of the skin stretch forming device according to claim 7, characterized in that: The twin module is provided with an alarm device. In step S4, the forming state of the skin component is monitored in real time by the digital twin in the twin module; and the step of completing the forming of the skin component includes: Step S42: The twin module compares the preset forming parameters and stretching state of the skin component input into the twin module with the digital twin to determine whether the forming process state of the skin component meets the preset forming parameter and stretching state standards in the twin module; if it does not meet the preset forming parameter and stretching state standards, the alarm device sounds an alarm and forcibly ends the forming of the skin component.

9. The digital twin system and method of the skin stretch forming device according to claim 1, characterized in that: The skin stretching equipment includes a frame, a workbench, a jaw, a jaw bracket, a gantry upper workbench, a safety step and auxiliary safety devices; The rack is provided with a sensor, which is used to collect various data of the rack during operation, and transmit the various data to the digital twin through the data processing module for real-time analysis; The workbench is provided with two, and its movement trajectory is controlled and planned by the digital twin system; The clamping state of the jaws is intelligently controlled by the digital twin body by real-time monitoring of the clamping force and deformation of the jaws; The jaw bracket is used to mount the jaw, and the movement process of the jaw bracket is simulated by the digital twin, and the movement of the jaw bracket is controlled; The worktable on the gantry moves according to the preset moving track in the twin module; The safety step and the auxiliary safety device are provided with sensors, and the sensors are used to collect actual operation data of the safety step and the auxiliary safety device and transmit the data to the data processing module.

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