Complex flexible film manufacturing digital twin system and implementation method

Abstract

This invention provides a digital twin system and implementation method for manufacturing complex flexible thin films, comprising: a physical entity, a virtual model, a digital twin system database, and an information interaction system; the physical entity is the physical carrier of the digital twin system for the flexible thin film manufacturing process; the virtual model is constructed using a low-coupling microservice architecture to create functional modules corresponding to the physical entity; the digital twin system database aggregates and stores all data from the physical entity and the virtual model, thereby enabling full lifecycle management of the digital twin system; the information interaction system is based on the data in the digital twin system database to achieve coordinated operation of the entire flexible thin film manufacturing process; within the digital twin system, the physical entity and the virtual model achieve real-time or near-real-time data synchronization and interaction through the information interaction system based on the digital twin system database, thereby achieving iterative optimization.

Description

Technical Field

[0001] This invention relates to the field of spacecraft thermal control thin film manufacturing technology, and more specifically, to a digital twin system and implementation method for manufacturing complex flexible thin films. Background Technology

[0002] Magnetron sputtering roll-to-roll coating is one of the main methods for manufacturing flexible thermal control films for spacecraft. However, due to the complex structure of its manufacturing equipment, the fact that the manufacturing process takes place in a vacuum environment, and the lack of real-time monitoring methods, the manufacturing process is difficult to control and there are insufficient control over process stability. This often leads to various coating defects, which can easily cause product loss or even batch scrapping. In addition, the detection efficiency of the "manual visual inspection + offline" method is low, resulting in excessively high manufacturing costs. This makes it impossible to meet the requirements of high-quality development, short-cycle research and development, and low-cost manufacturing of flexible thermal control films for spacecraft.

[0003] Digital twin models establish a virtual-physical mapping and bidirectional interactive relationship between the physical and information worlds by creating a virtual model that fully corresponds to and is dynamically synchronized with the physical entity. This makes it possible to simulate, analyze, and optimize entities in a virtual environment. Simultaneously, digital twins can comprehensively and deeply integrate physical data, such as operating status, environmental changes, and sudden disturbances, with information space data such as simulation prediction, statistical analysis, and domain knowledge. This enhances the synchronization and consistency between the physical and information worlds in manufacturing, ultimately achieving a real-time intelligent closed loop of data perception, real-time analysis, intelligent decision-making, and precise execution. The application of digital twin technology can not only improve production efficiency and reduce costs, but also predict equipment failures without interfering with actual production.

[0004] Based on this, the present invention proposes a digital twin system and implementation method for manufacturing complex flexible thin films. It is a digital twin system based on a loosely coupled microservice architecture, specifically designed for magnetron sputtering roll-to-roll coating equipment and the manufacturing process of flexible thermal control thin films. It can realize intelligent control of the manufacturing process of flexible thermal control thin films, thereby improving production efficiency and product quality. Summary of the Invention

[0005] To address the shortcomings of existing technologies, the purpose of this invention is to provide a digital twin system and implementation method for manufacturing complex flexible thin films.

[0006] A digital twin system for manufacturing complex flexible thin films according to the present invention includes: a physical entity, a virtual model, a digital twin system database, and an information interaction system; The physical entity is the physical carrier of the digital twin system for the flexible thin film manufacturing process; The virtual model is constructed using a loosely coupled microservice architecture to create functional modules that correspond to physical entities. The digital twin system database is used to aggregate and store all data of physical entities and virtual models, thereby realizing the management of the entire life cycle of the digital twin system; The information interaction system is based on data from the digital twin system database to achieve coordinated operation of the entire flexible thin film manufacturing process; In a digital twin system, the physical entity and the virtual model achieve real-time or near-real-time data synchronization and interaction through an information interaction system based on the digital twin system database, thereby enabling iterative optimization.

[0007] Preferably, the physical entity includes: The physical entity is the physical carrier of the digital twin system and the execution unit of actual production and processing, including: a magnetic field system, a monitoring and control system, a heating and cooling system, and a gas control system for the flexible film manufacturing process; the physical entity perceives the state of the flexible film manufacturing process through methods including sensors, manual measurement, and reverse formula calculation; and achieves coordinated control of the flexible film manufacturing process through a PLC, a temperature control module, a pressure control module, and a control module.

[0008] Preferably, the virtual model updates its own state by acquiring data from the physical entity; at the same time, the virtual model performs state calculations and outputs them to the physical entity, thereby realizing the virtual-real mapping driving function.

[0009] Preferably, the digital twin system database includes: equipment status during idle time, vacuuming process, coating process, vacuum atmosphere, process parameters, and surface condition and defect information of the product before and after coating.

[0010] Preferably, the information interaction system includes: a digital twin layer information interaction module and an external system layer information interaction module; The digital twin layer information interaction module includes: twin interaction, twin data, and interactive control; wherein, the twin interaction simulates the physical entity and its state to achieve model-driven operation, state monitoring, parameter early warning, and quality prediction; the twin data is a visual view of the simulated physical entity and its state to achieve twin data display, twin model display, and remote virtual manufacturing; the interactive control acquires the physical entity's operating information in real time and transmits it to the virtual model and database, while simultaneously feeding back the control information from the virtual entity and database to the physical entity; The external system layer information interaction module includes: an information system related to the auxiliary design, simulation, manufacturing, and control of the magnetron sputtering coating process; it expands the process data throughout the entire execution cycle of magnetron sputtering coating process design, production, and testing through data exchange; and it acquires the operating data of twin entities and virtual models to achieve iterative optimization.

[0011] Preferably, the digital twin system for manufacturing complex flexible thin films is used for process design and simulation, production control services, processing quality management, process control optimization, data modeling, and data cycle management. The process design and simulation include: constructing virtual models for processes such as vacuum pumping, magnetic field control, coating state identification, and cooling decompression, enabling the creation, editing, and virtual operation of process steps in a virtual space; and performing virtual execution of the complete flexible film manufacturing process by selecting a specific flexible film. The production control service includes: real-time monitoring of equipment status based on the collection, transmission and virtual model calculation of real-time production process data, simulation of equipment status and movement process, and alarm for abnormal parameters and movement during real-time production, thereby achieving the purpose of production control. The processing quality management includes: modeling coating defects using a virtual model and performing real-time execution predictions driven by real-time data; adjusting actual production process parameters based on the quality results output from the twin virtual manufacturing process or the actual production process. The process control optimization includes: the virtual model predicts the single-weight result and compares it with the actual single-weight result of the matrix. When the comparison shows a large deviation that meets the preset requirements, it indicates that the physical entity has a malfunction. The data modeling includes: storing, managing, and loading the data model of the digital twin system for the flexible thin film manufacturing process using formatted or unformatted files; wherein, the data model includes: a deep learning model, a simulation result model, and a computation result model; The data cycle management includes: time-cycle-based data control of physical entity data, virtual model data, and production management data included in the flexible film manufacturing process.

[0012] A method for implementing a digital twin system for manufacturing complex flexible thin films according to the present invention includes: Step S1: Construct functional modules corresponding to physical entities through a loosely coupled microservice architecture, and build virtual models based on each functional module; Step S2: Based on the digital twin system database, aggregate and store all data of physical entities and virtual models to realize the full life cycle management of the digital twin system; Step S3: In the digital twin system, the physical entity and the virtual model achieve real-time or near-real-time data synchronization and interaction through an information interaction system based on the digital twin system database, thereby achieving iterative optimization; The physical entity is the physical carrier of the digital twin system for the flexible thin film manufacturing process; The information interaction system is based on data from the digital twin system database to achieve coordinated operation of the entire flexible film manufacturing process.

[0013] Preferably, the physical entity includes: The physical entity is the physical carrier of the digital twin system and the execution unit of actual production and processing, including: a magnetic field system, a monitoring and control system, a heating and cooling system, and a gas control system for the flexible film manufacturing process; the physical entity perceives the state of the flexible film manufacturing process through methods including sensors, manual measurement, and reverse formula calculation; and achieves coordinated control of the flexible film manufacturing process through PLC, temperature control module, pressure control module, and control module. The virtual model updates its own state by acquiring data from the physical entity; at the same time, it performs state calculations through the virtual model and outputs the results to the physical entity, thereby realizing the virtual-real mapping driving function. The digital twin system database includes: equipment status during idle time, vacuuming process, coating process, vacuum atmosphere, process parameters, and surface condition and defect information of the product before and after coating.

[0014] Preferably, the information interaction system includes: a digital twin layer information interaction module and an external system layer information interaction module; The digital twin layer information interaction module includes: twin interaction, twin data, and interactive control; wherein, the twin interaction simulates the physical entity and its state to achieve model-driven operation, state monitoring, parameter early warning, and quality prediction; the twin data is a visual view of the simulated physical entity and its state to achieve twin data display, twin model display, and remote virtual manufacturing; the interactive control acquires the physical entity's operating information in real time and transmits it to the virtual model and database, while simultaneously feeding back the control information from the virtual entity and database to the physical entity; The external system layer information interaction module includes: an information system related to the auxiliary design, simulation, manufacturing, and control of the magnetron sputtering coating process; it expands the process data throughout the entire execution cycle of magnetron sputtering coating process design, production, and testing through data exchange; and it acquires the operating data of twin entities and virtual models to achieve iterative optimization.

[0015] Preferably, the digital twin system for manufacturing complex flexible thin films is used for process design and simulation, production control services, processing quality management, process control optimization, data modeling, and data cycle management. The process design and simulation include: constructing virtual models for processes such as vacuum pumping, magnetic field control, coating state identification, and cooling decompression, enabling the creation, editing, and virtual operation of process steps in a virtual space; and performing virtual execution of the complete flexible film manufacturing process by selecting a specific flexible film. The production control service includes: real-time monitoring of equipment status based on the collection, transmission and virtual model calculation of real-time production process data, simulation of equipment status and movement process, and alarm for abnormal parameters and movement during real-time production, thereby achieving the purpose of production control. The processing quality management includes: modeling coating defects using a virtual model and performing real-time execution predictions driven by real-time data; adjusting actual production process parameters based on the quality results output from the twin virtual manufacturing process or the actual production process. The process control optimization includes: the virtual model predicts the single-weight result and compares it with the actual single-weight result of the matrix. When the comparison shows a large deviation that meets the preset requirements, it indicates that the physical entity has a malfunction. The data modeling includes: storing, managing, and loading the data model of the digital twin system for the flexible thin film manufacturing process using formatted or unformatted files; wherein, the data model includes: a deep learning model, a simulation result model, and a computation result model; The data cycle management includes: time-cycle-based data control of physical entity data, virtual model data, and production management data included in the flexible film manufacturing process.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. Magnetron sputtering is carried out in a closed environment, making it difficult to observe the real-time working conditions inside. By using a digital twin system to establish a three-dimensional layout for the production line, the manufacturing process can be visualized. This allows for real-time monitoring and simulation of key equipment operating parameters and process status, generating time-series process data. 2. The process time is generally long. By importing a large amount of actual production data into the digital twin system, the health status of the equipment and signs of failure can be diagnosed, and failure prediction and automatic processing can be performed to effectively avoid the probability of equipment abnormalities during the process and reduce the product defect rate. 3. Existing production process and technology data are scattered, requiring aggregation and processing at each stage before the entire manufacturing process can be observed, making it difficult to trace the root cause of product quality problems; by establishing an instruction prediction model for a specified coating product or process through a digital twin system, online quality prediction of the production process can be achieved.

[0017] 4. This invention establishes a mapping mechanism between multiple process parameters and product quality of magnetron sputtering roll-to-roll coating equipment through a digital twin system based on a microservice architecture, forming a multi-sub-module evolvable knowledge base of the digital twin system, and proposing a digital twin-driven coating process optimization iteration method. This reveals the effectiveness and sensitivity of the digital twin system of magnetron sputtering coating equipment in terms of global operating efficiency and process evaluation under specific quality requirements. 5. This invention constructs a digital twin system architecture, builds a five-dimensional model and physical entity of the digital twin system, establishes a digital twin system database, and realizes the synchronization, interaction, and iteration of the physical entity and the virtual system. This enables comprehensive monitoring of equipment status, vacuum atmosphere, and process parameters during the magnetron sputtering roll-to-roll coating process, which helps to ensure product quality, reduce the occurrence of large-area defects in products, and further reduce manufacturing costs, so as to adapt to the development trend of multi-variety, large-volume, and low-cost manufacturing of thermal control thin film products for spacecraft. Attached Figure Description

[0018] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 This is a schematic diagram of the overall architecture of a digital twin system.

[0019] Figure 2 Flowchart of the implementation method for a digital twin system for manufacturing complex flexible thin films. Detailed Implementation

[0020] The present invention will now be described in detail with reference to specific embodiments. These embodiments will help those skilled in the art to further understand the present invention, but do not limit the invention in any way. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all fall within the protection scope of the present invention.

[0021] Example 1 The present invention provides a digital twin system and implementation method for manufacturing complex flexible thin films, which aims to establish a virtual-real mapping and two-way interaction relationship between the physical world and the information world by creating a virtual model that is completely corresponding to the physical entity and dynamically synchronized with it. This enables a real-time intelligent closed loop of data perception, real-time analysis, intelligent decision-making, and precise execution, breaking through the bottlenecks in the current production process of flexible thermal control thin films for spacecraft, such as long new product process development cycles and lack of intelligent real-time feedback control of processes during the transformation to "multi-variety, high-volume" manufacturing. This further ensures product quality, improves production efficiency, and achieves low-cost manufacturing of multiple varieties in large quantities.

[0022] The complex flexible thin film manufacturing digital twin system comprises four parts: physical entity, virtual model, digital twin system database, and information interaction system.

[0023] In the digital twin system, the physical entity is the physical carrier of the digital twin system, the execution unit of actual production and processing, and the final working unit of the system. It mainly includes magnetic field and power system, monitoring and control system, heating and cooling system, and gas control system, etc.

[0024] Furthermore, the physical entity mainly senses the state of the magnetron sputtering roll-to-roll coating process through sensors, manual measurement, and reverse formula calculation, and achieves coordinated control of the magnetron sputtering roll-to-roll coating process through various components such as PLC, temperature control module, pressure control module, and control module.

[0025] In the digital twin system, the virtual model is based on a low-coupling microservice architecture multi-module approach. This approach establishes the criteria for dividing the system's functional modules, constructs the overall architecture of the digital twin system, and can support the efficiency of its functional expansion and the stability of the sub-module performance.

[0026] Furthermore, the virtual model mainly includes a data preprocessing module, an evolvable knowledge base, process evaluation rules, process evaluation and statistics, process optimization and control, and optimization information feedback modules, used to realize online analysis of the magnetron sputtering coating process status. The data preprocessing module, as the data entry point, is responsible for cleaning, transforming, extracting features, and fusing multi-source information from the raw data collected by the physical entity perception module, providing a high-quality, standardized data foundation for all subsequent modules. The evolvable knowledge base, as the knowledge brain, stores and manages process mechanism models, rule bases, historical optimization cases, and analysis results, providing knowledge support for process optimization, evaluation, and decision-making through continuous learning and iteration. The process evaluation rules, as the evaluation benchmark, define... The quantitative standards and evaluation logic for key indicators such as process quality, efficiency, and cost serve as the core basis for the process evaluation and statistics module. As the evaluation center, process evaluation and statistics, based on an evolvable knowledge base and process evaluation rules, performs real-time assessment, statistical analysis, and trend judgment of the current process status, outputting evaluation results and optimization suggestions. Process optimization and control, as the decision-making center, receives the results of process evaluation and statistics, combines them with models and rules in the evolvable knowledge base, and generates optimal process parameters and control strategies through multi-objective optimization, intelligent algorithms, and other means. The optimization information feedback module, as a feedback channel, transmits the generated optimization instructions and decision information back to the physical entity's control execution module, driving the physical entity to perform optimization actions, forming a closed loop.

[0027] In the digital twin system, the digital twin system database serves as the data distribution center for the system. The effective aggregation and storage of virtual and physical data is crucial for realizing the full lifecycle management of the digital twin system. The system database includes equipment status, vacuum atmosphere, process parameters, and surface condition and defect information of the product before and after plating, during idle periods, vacuuming processes, and coating processes.

[0028] In the digital twin system, the information interaction system is based on the digital twin system database and serves the magnetron sputtering coating process, achieving coordinated operation throughout the entire process. The information interaction system mainly includes the digital twin layer and the external system layer.

[0029] Furthermore, the digital twin layer of the information interaction system mainly includes twin interaction, twin data, and interactive control. Twin interaction is the main body of the system that simulates physical entities and their states, enabling functions such as model-driven operation, state monitoring, parameter early warning, and quality prediction. Twin data is a visual view simulating physical entities and their states, enabling goals such as twin data display, twin model display, and remote virtual manufacturing. Interactive control is the key to connecting physical entities, enabling real-time acquisition of physical entity operation information and its transmission to the virtual model and database, while simultaneously feeding back control information from the virtual entity and database to the physical entity.

[0030] Furthermore, the external system layer of the information interaction system is an information system related to the auxiliary design, simulation, manufacturing, and control of the magnetron sputtering coating process. It can expand the process data throughout the entire execution cycle of magnetron sputtering coating process design, production, and testing through data exchange, and can also obtain the operating data of twin entities and virtual models, which facilitates the optimization of design and production arrangements.

[0031] The method for implementing the digital twin system for manufacturing complex flexible thin films includes the following steps: Step S1: Virtual Model Construction: A combination of multi-type, multi-level, multi-dimensional and multi-size model bodies is adopted, including geometric, physical, behavioral and rule models, as well as simulation, real-time, micro and macro models, etc. The models are spliced, merged, interacted and associated through editing, importing and modification.

[0032] Step S2: Physical Entity Communication Connection and Control: By establishing a high-speed, stable, protocol-compatible, and format-unified bidirectional data transmission channel between the physical entity and the system database, the connection, perception, and control of the physical entity are realized.

[0033] Step S3: Twin Database Construction: Storage and management of bidirectional data transmission, mainly including data storage, preprocessing and sharing, ultimately realizing full business, full process and full lifecycle data management.

[0034] Specifically, step S1 includes: virtual model construction is the technical foundation and key step of the digital twin system. It mainly involves digitally reproducing the physical environment and components of the entire process, including the position, shape, size, material properties and process behavior of the magnetron sputtering roll coating equipment and its key components, such as the vacuum chamber, winding roller, cathode, condensation device, moving device, power distribution device, etc.

[0035] Specifically, step S2 includes: physical entity perception mainly includes establishing real-time production status acquisition for vacuum systems, sputtering systems, monitoring systems, cooling systems, etc., and completing data collection according to the acquisition cycle; physical entity control requires physical entities to be able to accept instructions from downlink data channels and make corresponding production adjustments and corrections.

[0036] Furthermore, step S2 includes: Since magnetron sputtering roll-to-roll coating equipment is generally a dedicated device with a network output port, but it cannot actively upload data, it is necessary to deploy an edge device interaction terminal. Its main function is to actively send physical entity data to the system database and virtual entities, and to perform time-series synchronization, as well as to unify the formats of parameter models, device models, data models, data structure strategies, data cleaning and uploading strategies, etc.

[0037] Specifically, step S3 includes: using time-series databases and relational databases for parallel storage; data cleaning and time-series fusion can be performed by real-time input data; abnormal data removal and data normalization operations can be performed by computer learning data; data sharing based on permission management can be achieved by opening up database users with different permissions; and data services can be developed to achieve data query based on interfaces.

[0038] Example 2 Example 2 is a preferred example of Example 1. A method for implementing a digital twin system for manufacturing complex flexible thin films according to the present invention includes: Step S100: Through editing, importing, and modifying various types, levels, dimensions, and sizes of models of magnetron sputtering roll coating equipment and its key components, such as vacuum chambers, winding rollers, cathodes, condensation devices, moving devices, and power distribution devices, the model sputtering, fusion, interaction, and association of models can be achieved.

[0039] Step S200: By establishing a high-speed, stable, protocol-compatible, and format-unified bidirectional data transmission channel between physical entities and the system database, the connection, perception, and control of physical entities are achieved. Physical entity perception mainly includes establishing real-time production status acquisition for systems such as vacuum systems, sputtering systems, monitoring systems, and cooling systems, and completing data collection according to the acquisition cycle. Physical entity control requires physical entities to be able to accept instructions from the downlink data channel and make corresponding production adjustments and corrections. Simultaneously, considering the relatively isolated spatial layout of each process, distributed interactive control terminals are deployed. Each process's independent acquisition and control terminals interact with physical equipment, actively sending physical entity data to the system database and virtual entities, performing time-series synchronization, and unifying the formats of parameter models, equipment models, data models, data structure strategies, data cleaning, and upload strategies.

[0040] Step S300: Use time-series databases and relational databases to store bidirectional data in parallel. Perform data cleaning, time-series fusion, and abnormal data removal and data normalization operations by real-time input data and computer learning data. Then, achieve data sharing based on permission management by opening up database users with different permissions and develop data services to achieve data query based on interfaces. Finally, realize full business, full process and full life cycle data management.

[0041] Those skilled in the art will understand that, in addition to implementing the system, apparatus, and their modules provided by this invention in purely computer-readable program code, the same program can be implemented in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, the system, apparatus, and their modules provided by this invention can be considered a hardware component, and the modules included therein for implementing various programs can also be considered structures within the hardware component; alternatively, modules for implementing various functions can be considered both software programs implementing the method and structures within the hardware component.

[0042] Specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art can make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. Unless otherwise specified, the embodiments and features described in this application can be arbitrarily combined with each other.

Claims

1. A digital twin system for manufacturing complex flexible thin films, characterized in that, include: Physical entities, virtual models, digital twin system databases, and information interaction systems; The physical entity is the physical carrier of the digital twin system for the flexible thin film manufacturing process; The virtual model is constructed using a loosely coupled microservice architecture to create functional modules that correspond to physical entities. The digital twin system database is used to aggregate and store all data of physical entities and virtual models, thereby realizing the management of the entire life cycle of the digital twin system; The information interaction system is based on data from the digital twin system database to achieve coordinated operation of the entire flexible thin film manufacturing process; In a digital twin system, the physical entity and the virtual model achieve real-time or near-real-time data synchronization and interaction through an information interaction system based on the digital twin system database, thereby enabling iterative optimization.

2. The digital twin system for manufacturing complex flexible thin films according to claim 1, characterized in that, The physical entities include: The physical entity is the physical carrier of the digital twin system and the execution unit of actual production and processing, including: a magnetic field system, a monitoring and control system, a heating and cooling system, and a gas control system for the flexible film manufacturing process; the physical entity perceives the state of the flexible film manufacturing process through methods including sensors, manual measurement, and reverse formula calculation; and achieves coordinated control of the flexible film manufacturing process through a PLC, a temperature control module, a pressure control module, and a control module.

3. The digital twin system for manufacturing complex flexible thin films according to claim 1, characterized in that, The virtual model updates its own state by acquiring data from the physical entity; at the same time, it performs state calculations through the virtual model and outputs the results to the physical entity, thereby realizing the virtual-real mapping driving function.

4. The digital twin system for manufacturing complex flexible thin films according to claim 1, characterized in that, The digital twin system database includes: equipment status during idle time, vacuuming process, coating process, vacuum atmosphere, process parameters, and surface condition and defect information of the product before and after coating.

5. The digital twin system for manufacturing complex flexible thin films according to claim 1, characterized in that, The information interaction system includes: a digital twin layer information interaction module and an external system layer information interaction module; The digital twin layer information interaction module includes: twin interaction, twin data, and interactive control; wherein, the twin interaction simulates the physical entity and its state to achieve model-driven operation, state monitoring, parameter early warning, and quality prediction; the twin data is a visual view of the simulated physical entity and its state to achieve twin data display, twin model display, and remote virtual manufacturing; the interactive control acquires the physical entity's operating information in real time and transmits it to the virtual model and database, while simultaneously feeding back the control information from the virtual entity and database to the physical entity; The external system layer information interaction module includes: an information system related to the auxiliary design, simulation, manufacturing, and control of the magnetron sputtering coating process; it expands the process data throughout the entire execution cycle of magnetron sputtering coating process design, production, and testing through data exchange; and it acquires the operating data of twin entities and virtual models to achieve iterative optimization.

6. The digital twin system for manufacturing complex flexible thin films according to claim 1, characterized in that, The digital twin system for manufacturing complex flexible thin films is used for process design and simulation, production control services, processing quality management, process control optimization, data modeling, and data cycle management. The process design and simulation include: constructing virtual models for processes such as vacuum pumping, magnetic field control, coating state identification, and cooling decompression, enabling the creation, editing, and virtual operation of process steps in a virtual space; and performing virtual execution of the complete flexible film manufacturing process by selecting a specific flexible film. The production control service includes: real-time monitoring of equipment status based on the collection, transmission and virtual model calculation of real-time production process data, simulation of equipment status and movement process, and alarm for abnormal parameters and movement during real-time production, thereby achieving the purpose of production control. The processing quality management includes: modeling coating defects using a virtual model and performing real-time execution predictions driven by real-time data; adjusting actual production process parameters based on the quality results output from the twin virtual manufacturing process or the actual production process. The process control optimization includes: the virtual model predicts the single-weight result and compares it with the actual single-weight result of the matrix. When the comparison shows a large deviation that meets the preset requirements, it indicates that the physical entity has a malfunction. The data modeling includes: storing, managing, and loading the data model of the digital twin system for the flexible thin film manufacturing process using formatted or unformatted files; wherein, the data model includes: a deep learning model, a simulation result model, and a computation result model; The data cycle management includes: time-cycle-based data control of physical entity data, virtual model data, and production management data included in the flexible film manufacturing process.

7. A method for implementing a digital twin system for manufacturing complex flexible thin films, characterized in that, include: Step S1: Construct functional modules corresponding to physical entities through a loosely coupled microservice architecture, and build virtual models based on each functional module; Step S2: Based on the digital twin system database, aggregate and store all data of physical entities and virtual models to realize the full life cycle management of the digital twin system; Step S3: In the digital twin system, the physical entity and the virtual model achieve real-time or near-real-time data synchronization and interaction through an information interaction system based on the digital twin system database, thereby achieving iterative optimization; The physical entity is the physical carrier of the digital twin system for the flexible thin film manufacturing process; The information interaction system is based on data from the digital twin system database to achieve coordinated operation of the entire flexible film manufacturing process.

8. The method for implementing a digital twin system for manufacturing complex flexible thin films according to claim 7, characterized in that, The physical entities include: The physical entity is the physical carrier of the digital twin system and the execution unit of actual production and processing, including: a magnetic field system, a monitoring and control system, a heating and cooling system, and a gas control system for the flexible film manufacturing process; the physical entity perceives the state of the flexible film manufacturing process through methods including sensors, manual measurement, and reverse formula calculation; and achieves coordinated control of the flexible film manufacturing process through PLC, temperature control module, pressure control module, and control module. The virtual model updates its own state by acquiring data from the physical entity; at the same time, it performs state calculations through the virtual model and outputs the results to the physical entity, thereby realizing the virtual-real mapping driving function. The digital twin system database includes: equipment status during idle time, vacuuming process, coating process, vacuum atmosphere, process parameters, and surface condition and defect information of the product before and after coating.

9. The method for implementing a digital twin system for manufacturing complex flexible thin films according to claim 7, characterized in that, The information interaction system includes: a digital twin layer information interaction module and an external system layer information interaction module; The digital twin layer information interaction module includes: twin interaction, twin data, and interactive control; wherein, the twin interaction simulates the physical entity and its state to achieve model-driven operation, state monitoring, parameter early warning, and quality prediction; the twin data is a visual view of the simulated physical entity and its state to achieve twin data display, twin model display, and remote virtual manufacturing; the interactive control acquires the physical entity's operating information in real time and transmits it to the virtual model and database, while simultaneously feeding back the control information from the virtual entity and database to the physical entity; The external system layer information interaction module includes: an information system related to the auxiliary design, simulation, manufacturing, and control of the magnetron sputtering coating process; it expands the process data throughout the entire execution cycle of magnetron sputtering coating process design, production, and testing through data exchange; and it acquires the operating data of twin entities and virtual models to achieve iterative optimization.

10. The method for implementing a digital twin system for manufacturing complex flexible thin films according to claim 7, characterized in that, The digital twin system for manufacturing complex flexible thin films is used for process design and simulation, production control services, processing quality management, process control optimization, data modeling, and data cycle management. The process design and simulation include: constructing virtual models for processes such as vacuum pumping, magnetic field control, coating state identification, and cooling decompression, enabling the creation, editing, and virtual operation of process steps in a virtual space; and performing virtual execution of the complete flexible film manufacturing process by selecting a specific flexible film. The production control service includes: real-time monitoring of equipment status based on the collection, transmission and virtual model calculation of real-time production process data, simulation of equipment status and movement process, and alarm for abnormal parameters and movement during real-time production, thereby achieving the purpose of production control. The processing quality management includes: modeling coating defects using a virtual model and performing real-time execution predictions driven by real-time data; adjusting actual production process parameters based on the quality results output from the twin virtual manufacturing process or the actual production process. The process control optimization includes: the virtual model predicts the single-weight result and compares it with the actual single-weight result of the matrix. When the comparison shows a large deviation that meets the preset requirements, it indicates that the physical entity has a malfunction. The data modeling includes: storing, managing, and loading the data model of the digital twin system for the flexible thin film manufacturing process using formatted or unformatted files; wherein, the data model includes: a deep learning model, a simulation result model, and a computation result model; The data cycle management includes: time-cycle-based data control of physical entity data, virtual model data, and production management data included in the flexible film manufacturing process.

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