A production system and construction method of aviation thin-walled double-sided frame based on digital twin

Abstract

The present invention discloses an aviation thin-wall double-sided frame production system and construction method based on digital twins, which relate to the technical field of aviation thin-wall double-sided frame manufacturing, and include the following steps: overall process layout design of the production line, construction and optimization of digital twin geometric models of each production unit of the production line, construction and optimization of digital twin behavior models of each production unit of the production line, construction and optimization of digital twin logic models of each production unit of the production line. This aviation thin-wall double-sided frame production system and construction method based on digital twins, production line simulation and mapping, systematic description of the physical entities of the production equipment through digital twin technology, displaying the physical entities of the production line in a digital form in a virtual information space, simulating the geometric models, behavior models, logic models, etc. of the physical entities in the real environment, and realizing the mapping of digital twin production lines with functions such as physical production line layout planning and production process simulation.

Description

Technical Field

[0001] The present invention relates to the technical field of aviation thin-wall double-sided frame manufacturing, and specifically to an aviation thin-wall double-sided frame production system and construction method based on digital twins. Background Art

[0002] Thin-walled double-sided frames are typical aviation structural parts. Due to their high specific strength, they are widely used in aircraft structures. With the use of new aircraft structural design technologies and new aviation manufacturing processes, aviation structural parts are gradually developing in the direction of integration, large-scale and complexity. Aviation thin-walled frame structural parts have also developed from the initial single-sided three-coordinate machining of a small number of frame structures to the current double-sided five-coordinate machining of multiple frame structures. For this type of parts, the traditional method is for operators to cooperate with discrete workstations of CNC machining centers, inspection and testing centers, etc. to jointly complete the production and manufacturing. This processing method has high labor intensity, low production efficiency, and accuracy and quality cannot be guaranteed. Thin-walled double-sided frame parts are the most important structural components of the aircraft fuselage and are crucial to the accuracy of aircraft assembly. Their manufacturing accuracy, surface quality and processing efficiency will directly affect the delivery of the aircraft.

[0003] With the new wave of scientific and technological revolution and industrial revolution, especially the development and accelerated application of new generation information technologies such as artificial intelligence, digital twins, 5G, big data, cloud computing, and industrial Internet, intelligent manufacturing, as a new round of informatization and industrialization revolution in the manufacturing industry, is ready to go; how to improve the automation, intelligence, and digitalization level of the aviation manufacturing industry and build an internationally competitive aviation manufacturing industry has become an unprecedented challenge and opportunity for the aviation manufacturing industry.

[0004] In the practice of intelligent manufacturing, the interactive integration of physical space and information space has become the key core to realize intelligent manufacturing. The introduction of the concept of digital twins has provided new ideas and solutions for the interactive integration of the physical world and the digital world. The rapid development of technologies such as the Internet of Things, artificial intelligence, cloud computing, edge computing, the fifth generation cellular network (5G), and wireless sensor networks has provided theoretical support and technical support for the realization of digital twins.

[0005] The invention uses digital twin technology, takes the aviation thin-walled double-sided frame intelligent manufacturing production line as the carrier, and aims to realize the intelligent manufacturing of aviation thin-walled double-sided frames. A production system and construction method of aviation thin-walled double-sided frames based on digital twins are proposed. The purpose is to ensure the quality control of key processes of aviation thin-walled double-sided frame structural parts through digital twin technology, and improve the production efficiency and control capabilities of aviation manufacturing enterprises through monitoring, prediction, analysis and diagnosis functions, and provide a reference case for the application of digital twin technology in the field of aviation manufacturing production. To this end, we propose a production system and construction method of aviation thin-walled double-sided frames based on digital twins. Summary of the invention

[0006] The purpose of the present invention is to provide an aviation thin-walled double-sided frame production system and construction method based on digital twins to solve the problems raised in the above background technology.

[0007] To achieve the above object, the present invention provides the following technical solution: a method for producing and constructing an aviation thin-wall double-sided frame based on digital twin, comprising the following steps:

[0008] Step 1: Overall process layout design of production line;

[0009] Step 2: Construction and optimization of digital twin geometric models of each production unit of the production line;

[0010] Step 3: Construction and optimization of digital twin behavior models of each production unit of the production line;

[0011] Step 4: Construction and optimization of digital twin logic models of each production unit of the production line;

[0012] Step 5: Connect and debug each unit of the production line with the digital twin system;

[0013] Step 6: Operation simulation and optimization of the production line digital twin system;

[0014] Wherein in the above step 1, the production line includes a blank warehouse, a robot 1, a blank detection unit, a robot 2, a three-axis machining center, a robot 3, a five-axis machining center, a grinding unit, a robot 4, a three-coordinate detection unit, a coding and marking unit, a robot 5, a circular conveyor belt, a finished product warehouse, work-in-progress, blanks, and finished products; the blank warehouse, robot 1 and the finished product warehouse are arranged on the east side of the circular conveyor belt; the blank detection unit, robot 2, the three-axis machining center, robot 3, and the five-axis machining center are arranged in sequence on the north side of the circular conveyor belt; the grinding unit, robot 4, the three-coordinate detection unit, the coding and marking unit, and robot 5 are arranged in sequence on the south side of the circular conveyor belt;

[0015] Wherein, in the above step 2, each production unit includes a blank warehouse, a robot 1, a blank detection unit, a robot 2, a three-axis machining center, a robot 3, a five-axis machining center, a grinding unit, a robot 4, a three-coordinate detection unit, a coding marking unit, a robot 5, a circular conveyor belt, and a finished product warehouse; according to the actual layout of the physical entity of the intelligent manufacturing production line, a 3D modeling software is used to construct and optimize the geometric model of each production unit to construct a digital model, including information on the mechanical structure, shape, position, assembly, etc. of the intelligent manufacturing production line, which can be saved as an FBX or STL format file and imported into the digital twin virtual simulation environment to intuitively display the intelligent manufacturing production line in a visual form;

[0016] In the above step 3, the construction and optimization of the digital twin behavior model of each production unit refers to the response action of the intelligent manufacturing production line to external instructions, external environment, sudden disturbances and internal operation mechanisms, and the construction of different evaluation, decision-making and other behavior models according to its different time scales;

[0017] In the above step 4, the construction and optimization of the digital twin logic model of each production unit of the production line is based on the logic rules of the historical associated data of the intelligent manufacturing production line, using artificial intelligence algorithms, through learning historical data, describing the intelligent manufacturing production line from the dimension of data, and constructing a logic rule model for judgment, optimization and prediction;

[0018] In the above step 5, the connection and debugging of each unit of the production line with the digital twin system refers to connecting each unit module of the production line through the network, docking with the digital twin simulation system platform, verifying the function realization of each unit and performing optimization and debugging;

[0019] In the above step 6, the operation simulation and optimization of the digital twin system of the production line refers to the real-time linkage of production simulation and status monitoring between the physical production line and the digital twin production line through the actual double-sided frame parts out of the warehouse - blank inspection - three-axis machining center rough machining - five-axis machining center fine machining - polishing - three-coordinate inspection - inkjet printing - finished product storage, and optimization and adjustment are made according to the production simulation results.

[0020] Preferably, each unit of the production line is connected to the digital twin system for debugging and communication to achieve real-time virtual-real linkage; the communication connection method includes wired network / wireless network.

[0021] Preferably, the wired network communication includes: Ethernet / RS485; the wireless network includes: any one or more combinations of 5G / WiFi.

[0022] Preferably, the operation simulation process of the digital twin system of the production line is that robot 1 receives the signal sent by the digital twin system to take the sheet metal blank from the corresponding warehouse number of the blank warehouse, and places the blank on the circular conveyor belt after taking it; the circular conveyor belt starts running after sensing the discharge of the blank and transports the blank to the corresponding position of the blank detection unit and stops, and robot 2 transports the blank to the blank detection unit for inspection, and after the inspection, robot 2 transports the blank to the circular conveyor belt; the circular conveyor belt starts running after sensing the discharge of the blank and transports the blank to the corresponding position of the three-axis machining center and stops, and robot 3 transports the blank to the three-axis machining center to complete the process steps of polishing one surface, polishing another surface, rough-machining one surface, and rough-machining another surface. After completion, robot 3 transports the rough-processed work-in-progress to the five-axis machining center The machining center performs two-surface finishing; after finishing, robot three will transport the work-in-progress to the circular conveyor belt, which will transport the work-in-progress to the corresponding position of the polishing unit and stop, and then robot four will transport the work-in-progress to the polishing unit for polishing; after polishing, robot four will transport the work-in-progress to the three-coordinate detection unit for inspection; after inspection, robot four will transport the work-in-progress to the circular conveyor belt, which will transport the work-in-progress to the corresponding position of the inkjet coding and marking unit and stop, and then robot five will transport the work-in-progress to the inkjet coding and marking unit for inkjet coding and marking, and after marking, robot five will transport the work-in-progress to the circular conveyor belt; after detecting the finished parts, the circular conveyor belt will start and transport them to the corresponding position of the finished product warehouse and stop, and then robot one will complete the storage of the finished parts.

[0023] Preferably, the endless conveyor belt is provided with a photoelectric sensor at a corresponding position of each unit for detecting workpieces.

[0024] A production system for a production construction method of an aviation thin-wall double-sided frame based on digital twins, comprising a physical entity layer, a digital twin model layer, a twin data layer, and an application service layer;

[0025] The physical entity layer includes a blank warehouse, robot one, a blank detection unit, robot two, a three-axis machining center, robot three, a five-axis machining center, a grinding unit, robot four, a three-coordinate detection unit, a coding marking unit, a circular conveyor belt, robot five, a finished product warehouse, a workpiece, a computer, an industrial computer, a PLC, a sensor and an RFID;

[0026] The digital twin model includes a geometric model, a physical model, a behavioral model, a rule model, a model display and a model management;

[0027] The twin data layer includes data cleaning, data classification, data encoding, data labeling, data storage, data mining, data fusion and data conversion to realize the storage and analysis of twin data.

[0028] Preferably, the application service layer includes ERP, PDM, PLM and MES service systems to achieve real-time monitoring of the operating status of the intelligent production line, prediction of operating process faults, and optimization of manufacturing process decisions.

[0029] Preferably, the physical model includes electrical, thermodynamic, tribological and other aspects related to the intelligent manufacturing production line. It analyzes the structure, electromagnetic field, thermodynamics, tribology and other aspects based on the finite element model of the physical structure of the intelligent manufacturing production line to describe the physical properties, characteristics, constraints and other information of the intelligent manufacturing production line.

[0030] Preferably, the digital twin layer is a mapping of the physical entity layer, and real-time data interaction and fusion between the physical entity layer, digital twin model layer, twin data layer and application service layer are realized through OPC UA technology, thereby realizing virtual and real bidirectional control and operation of the digital twin system.

[0031] Preferably, the workpiece is an aluminum alloy or titanium alloy double-sided frame with a wall thickness and a web of 2-3 mm.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] The present invention introduces digital twin technology into the aviation thin-wall double-sided frame production line system to realize the digital, automated and intelligent manufacturing of aviation thin-wall double-sided frames. Its specific functions and benefits are:

[0034] (1) Production line simulation and mapping: The digital twin technology is used to systematically describe the physical entities of the production equipment, present the physical entities of the production line in a digital form in the virtual information space, simulate the geometric model, behavior model, and logical model of the physical entity in the real environment, and realize the mapping of the digital twin production line with functions such as physical production line layout planning and production process simulation.

[0035] (2) Production line operation monitoring and control: Through digital twin technology, full use is made of multi-source data fusion such as the production line physical model, sensor update data, and historical operation data to monitor and operate the operating status of physical production line equipment in the virtual space of the digital twin production line.

[0036] (3) Production line operation prediction and analysis: Use digital twin technology to simulate, predict and evaluate the production scheduling strategy of the aviation thin-walled double-sided frame, analyze the benefits of the entire production line, and improve production efficiency through strategy optimization. Reconstruct the key elements of the production site through digital twins, use historical data combined with prediction models to predict emergencies, and reduce the uncertainty of the production process. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 is a flow chart of the method of the present invention;

[0038] Figure 2 It is the overall position distribution diagram of the production line of the present invention;

[0039] Figure 3 It is a production process flow chart of the present invention;

[0040] Figure 4 This is a model architecture diagram of the production line digital twin system of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] Embodiment 1

[0043] See also Figure 1-4 The present invention provides a technical solution: a method for producing and constructing an aviation thin-wall double-sided frame based on digital twins. The present invention makes corresponding improvements to the technical problems mentioned in the background technology, and includes the following steps:

[0044] Step 1: Overall process layout design of production line;

[0045] Step 2: Construction and optimization of digital twin geometric models of each production unit of the production line;

[0046] Step 3: Construction and optimization of digital twin behavior models of each production unit of the production line;

[0047] Step 4: Construction and optimization of digital twin logic models of each production unit of the production line;

[0048] Step 5: Connect and debug each unit of the production line with the digital twin system;

[0049] Step 6: Operation simulation and optimization of the production line digital twin system;

[0050] Wherein, in the above step 1, the production line includes a blank warehouse, a robot 1, a blank detection unit, a robot 2, a three-axis machining center, a robot 3, a five-axis machining center, a grinding unit, a robot 4, a three-coordinate detection unit, a coding and marking unit, a robot 5, a circular conveyor, a finished product warehouse, work-in-progress, blanks, and finished products; the blank warehouse, robot 1, and the finished product warehouse are arranged on the east side of the circular conveyor; the blank detection unit, robot 2, the three-axis machining center, robot 3, and the five-axis machining center are arranged on the north side of the circular conveyor in sequence; the grinding unit, robot 4, the three-coordinate detection unit, the coding and marking unit, and robot 5 are arranged on the south side of the circular conveyor in sequence;

[0051] In the above step 2, each production unit includes a blank warehouse, robot one, a blank inspection unit, robot two, a three-axis machining center, robot three, a five-axis machining center, a grinding unit, robot four, a three-coordinate inspection unit, a coding marking unit, a circular conveyor belt, robot five, and a finished product warehouse; according to the actual layout of the physical entity of the intelligent manufacturing production line, the geometric model of each production unit is constructed and optimized using 3D modeling software to construct a digital model, including information on the mechanical structure, shape, position, assembly, etc. of the intelligent manufacturing production line, which can be saved as an FBX or STL format file and imported into the digital twin virtual simulation environment to intuitively display the intelligent manufacturing production line in a visual form;

[0052] In the above step 3, the construction and optimization of the digital twin behavior model of each production unit refers to the response of the intelligent manufacturing production line to external instructions, external environment, sudden disturbances and internal operation mechanisms, and the construction of different evaluation, decision-making and other behavior models according to their different time scales;

[0053] In the above step 4, the construction and optimization of the digital twin logic model of each production unit of the production line is based on the logic rules of the historical associated data of the intelligent manufacturing production line, using artificial intelligence algorithms, through learning historical data, describing the intelligent manufacturing production line from the data dimension, and building a logic rule model for judgment, optimization and prediction;

[0054] In the above step 5, the connection and debugging of each unit of the production line with the digital twin system refers to connecting the modules of each unit of the production line through the network, connecting with the digital twin simulation system platform, verifying the functional realization of each unit and performing optimization and debugging;

[0055] In the above step 6, the operation simulation and optimization of the digital twin system of the production line refers to real-time linkage of production simulation and status monitoring between the physical production line and the digital twin production line through the actual double-sided frame parts out of the warehouse - blank detection - three-axis machining center rough machining - five-axis machining center fine machining - grinding - three-coordinate detection - inkjet printing - finished product storage, and optimization and adjustment based on the production simulation results;

[0056] Each unit of the production line is connected and debugged with the digital twin system to achieve real-time virtual-real linkage; the communication connection mode includes wired network / wireless network;

[0057] Wired network communication includes: Ethernet / RS485; wireless network includes: 5G / WiFi any one or more combinations;

[0058] The simulation process of the digital twin system operation of the production line is that robot 1 receives the signal sent by the digital twin system to take the sheet metal blank from the corresponding warehouse number of the blank warehouse, and places the blank on the circular conveyor belt after taking it; the circular conveyor belt starts running after sensing the discharge of the blank and transports the blank to the corresponding position of the blank detection unit and stops, and robot 2 transports the blank to the blank detection unit for inspection, and after the inspection, robot 2 transports the blank to the circular conveyor belt; the circular conveyor belt starts running after sensing the discharge of the blank and transports the blank to the corresponding position of the three-axis machining center and stops, and robot 3 transports the blank to the three-axis machining center to complete the process steps of polishing one surface, polishing another surface, roughing one surface, and roughing another surface. After completion, robot 3 transports the rough-processed work-in-progress to the five-axis machining center The center performs two-surface finishing; after finishing, robot three will move the finished product to the circular conveyor belt, which will transport the finished product to the corresponding position of the polishing unit and stop, and then robot four will move the finished product to the polishing unit for polishing; after polishing, robot four will move the finished product to the three-coordinate detection unit for inspection; after inspection, robot four will move the finished product to the circular conveyor belt, which will transport the finished product to the corresponding position of the inkjet coding and marking unit and stop, and then robot five will move the finished product to the inkjet coding and marking unit for inkjet coding and marking, and after marking, robot five will move the finished product to the circular conveyor belt; after the circular conveyor belt detects the finished parts, it will start and transport them to the corresponding position of the finished product warehouse and stop, and then robot one will complete the storage of the finished parts;

[0059] The endless conveyor belt is provided with a photoelectric sensor at the corresponding position of each unit for detecting the workpiece.

[0060] The specific implementation of this embodiment is as follows:

[0061] Overall process layout design of production line

[0062] This step is the basis for the construction of the entire production line. By rationally planning the overall layout of the production line, including the placement of each production unit, logistics path, etc., the smooth and efficient production process can be ensured. Reasonable layout not only helps to reduce material handling time, but also reduces production costs and improves production efficiency.

[0063] Construction and optimization of digital twin geometric models of each production unit of the production line

[0064] This step uses 3D modeling software to build a digital model based on the actual layout of the physical production line. Through the construction and optimization of the geometric model, the mechanical structure, shape, position, assembly and other information of the production line can be intuitively displayed, providing a basis for subsequent simulation and optimization;

[0065] Construction and optimization of digital twin behavior models for each production unit of the production line

[0066] The behavioral model focuses on the response of the production line to external instructions, environment and internal mechanisms. By building a behavioral model, the operating status of the production line can be simulated, its behavior under different conditions can be predicted, and a scientific basis can be provided for production decision-making;

[0067] Construction and optimization of digital twin logic models for each production unit of the production line

[0068] The logic model is based on the logic rules of historical related data. Through artificial intelligence algorithms, historical data is learned to build a logic rule model for judgment, optimization and prediction. This helps to deeply understand the operation rules of the production line from the data dimension and realize intelligent management of the production process.

[0069] Each unit of the production line is connected and debugged with the digital twin system

[0070] This step connects each unit module of the production line to the digital twin simulation system platform to verify the functional realization of each unit and optimize and debug it. Through real-time virtual-real linkage, it ensures that the digital twin system can accurately reflect the operating status of the physical production line and provide strong support for the monitoring and management of the production process;

[0071] Production line digital twin system operation simulation and optimization

[0072] The last step is to conduct real-time linkage production simulation between the physical production line and the digital twin production line through the production process of actual parts, monitor the production status and make optimization adjustments based on the simulation results. This helps to discover and solve potential problems before actual production, thereby improving the stability and production efficiency of the production line.

[0073] Embodiment 2

[0074] See also Figure 1-4, the present invention provides a technical solution: a production system for a production construction method of an aviation thin-walled double-sided frame based on digital twins, the present invention makes corresponding improvements to the technical problems mentioned in the background technology, including a physical entity layer, a digital twin model layer, a twin data layer and an application service layer;

[0075] The physical entity layer includes the blank warehouse, robot one, blank inspection unit, robot two, three-axis machining center, robot three, five-axis machining center, grinding unit, robot four, three-coordinate inspection unit, inkjet marking unit, robot five, circular conveyor belt, finished product warehouse, workpieces, computers, industrial computers, PLCs, sensors and RFID;

[0076] The digital twin model includes geometric model, physical model, behavioral model, rule model, model display and model management;

[0077] The twin data layer includes data cleaning, data classification, data encoding, data labeling, data storage, data mining, data fusion and data conversion to achieve storage and analysis of twin data;

[0078] The application service layer includes ERP, PDM, PLM and MES service systems, which can realize real-time monitoring of the operation status of intelligent production lines, prediction of operation process faults, and optimization of manufacturing process decisions;

[0079] The physical model includes electrical, thermodynamic, tribological and other aspects related to the intelligent manufacturing production line. It is based on the finite element model of the physical structure of the intelligent manufacturing production line to analyze the structure, electromagnetic field, thermodynamics, tribology and other aspects to describe the physical properties, characteristics and constraints of the intelligent manufacturing production line.

[0080] The digital twin layer is a mapping of the physical entity layer. Through OPC UA technology, real-time data interaction and integration between the physical entity layer, digital twin model layer, twin data layer and application service layer are realized, realizing virtual and real bidirectional control and operation of the digital twin system.

[0081] The workpiece is an aluminum alloy or titanium alloy double-sided frame with a wall thickness and a web of 2-3 mm.

[0082] The specific implementation of this embodiment is as follows:

[0083] Its core function is to realize efficient, accurate and intelligent aviation parts manufacturing process. The system forms a complete intelligent manufacturing system by integrating the physical entity layer, digital twin model layer, twin data layer and application service layer.

[0084] At the physical entity level, the system covers the entire manufacturing process from raw materials to finished products, including the rough warehouse, processing equipment, and testing units, ensuring the continuity and automation of the manufacturing process. The digital twin model layer virtually simulates the production line by establishing precise geometric, physical, and behavioral models to provide decision support for actual production.

[0085] The twin data layer realizes efficient storage and analysis of twin data through data cleaning, classification, coding and other processing, providing a data basis for the optimization of the production process. The application service layer realizes real-time monitoring of production status, fault prediction and manufacturing process decision optimization through systems such as ERP, PDM, PLM and MES, thereby improving the operation efficiency of the production line and product quality.

[0086] The following are the full names of ERP, PDM, PLM and MES:

[0087] ERP-Enterprise Resource Planning

[0088] PDM-Product Data Management

[0089] PLM-Product Lifecycle Management

[0090] MES-Manufacturing Execution System

[0091] In particular, for parts such as aviation thin-walled double-sided frames, the system can achieve fine control of the manufacturing process through precise digital twin models and physical models, ensuring that the products meet the high precision and high reliability requirements of the aviation field. At the same time, the ability of virtual and real two-way control and operation further improves the intelligence level and response speed of the production line.

[0092] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0093] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for producing and constructing an aviation thin-wall double-sided frame based on digital twins, which is applied in a production system and is characterized by: The following steps are involved: Step 1: Overall process layout design of production line; Step 2: Construction and optimization of digital twin geometric models of each production unit of the production line; Step 3: Construction and optimization of digital twin behavior models of each production unit of the production line; Step 4: Construction and optimization of digital twin logic models of each production unit of the production line; Step 5: Connect and debug each unit of the production line with the digital twin system; Step 6: Operation simulation and optimization of the production line digital twin system; Wherein in the above step 1, the production line includes a blank warehouse, a robot 1, a blank detection unit, a robot 2, a three-axis machining center, a robot 3, a five-axis machining center, a grinding unit, a robot 4, a three-coordinate detection unit, a coding and marking unit, a robot 5, a circular conveyor belt, a finished product warehouse, work-in-progress, blanks, and finished products; the blank warehouse, robot 1 and the finished product warehouse are arranged on the east side of the circular conveyor belt; the blank detection unit, robot 2, the three-axis machining center, robot 3, and the five-axis machining center are arranged in sequence on the north side of the circular conveyor belt; the grinding unit, robot 4, the three-coordinate detection unit, the coding and marking unit, and robot 5 are arranged in sequence on the south side of the circular conveyor belt; Wherein, in the above step 2, each production unit includes a blank warehouse, a robot 1, a blank detection unit, a robot 2, a three-axis machining center, a robot 3, a five-axis machining center, a grinding unit, a robot 4, a three-coordinate detection unit, a coding marking unit, a robot 5, a circular conveyor belt, and a finished product warehouse; according to the actual layout of the physical entity of the intelligent manufacturing production line, a 3D modeling software is used to construct and optimize the geometric model of each production unit to construct a digital model, including the mechanical structure, shape, position and assembly information of the intelligent manufacturing production line, which can be saved as an FBX or STL format file and imported into the digital twin virtual simulation environment to intuitively display the intelligent manufacturing production line in a visual form; In the above step 3, the construction and optimization of the digital twin behavior model of each production unit refers to the response action of the intelligent manufacturing production line to external instructions, external environment, sudden disturbances and internal operation mechanisms, and different evaluation and decision-making behavior models are constructed according to different time scales; In the above step 4, the construction and optimization of the digital twin logic model of each production unit of the production line is based on the logic rules of the historical associated data of the intelligent manufacturing production line, using artificial intelligence algorithms, through learning historical data, describing the intelligent manufacturing production line from the dimension of data, and constructing a logic rule model for judgment, optimization and prediction; In the above step 5, the connection and debugging of each unit of the production line with the digital twin system refers to connecting each unit module of the production line through the network, docking with the digital twin simulation system platform, verifying the function realization of each unit and performing optimization and debugging; In the above step 6, the operation simulation and optimization of the digital twin system of the production line refers to the real-time linkage of production simulation and status monitoring between the physical production line and the digital twin production line through the actual double-sided frame parts out of the warehouse - blank inspection - three-axis machining center rough machining - five-axis machining center fine machining - polishing - three-coordinate inspection - inkjet printing - finished product storage, and optimization and adjustment are made according to the production simulation results.

2. According to claim 1, a method for producing and constructing an aviation thin-wall double-sided frame based on digital twins is characterized in that: Each unit of the production line is connected to the digital twin system for debugging and communication to achieve real-time virtual-real linkage; the communication connection method includes wired network / wireless network.

3. According to claim 2, a method for producing and constructing an aviation thin-wall double-sided frame based on digital twins is characterized in that: The wired network communication includes: Ethernet / RS485; the wireless network includes: any one or more combinations of 5G / WiFi.

4. According to the method for producing and constructing an aviation thin-wall double-sided frame based on digital twinning according to claim 1, it is characterized in that: The operation simulation process of the digital twin system of the production line is that robot one receives the signal sent by the digital twin system to take the sheet metal blank from the corresponding warehouse number of the blank warehouse, and places the blank on the circular conveyor belt after taking the blank; the circular conveyor belt starts running after sensing the discharge of the blank and transports the blank to the corresponding position of the blank detection unit and stops, and robot two transports the blank to the blank detection unit for inspection, and after the inspection, robot two transports the blank to the circular conveyor belt; the circular conveyor belt starts running after sensing the discharge of the blank and transports the blank to the corresponding position of the three-axis machining center and stops, and robot three transports the blank to the three-axis machining center to complete the process steps of polishing one surface, polishing another surface, rough-machining one surface, and rough-machining another surface, and completes Then, robot three will move the rough-processed work-in-progress to the five-axis machining center for two-face fine processing; after fine processing, robot three will move the work-in-progress to the ring conveyor belt, and the ring conveyor belt will transport the work-in-progress to the corresponding position of the grinding unit and stop, and then robot four will move the work-in-progress to the grinding unit for grinding; after grinding, robot four will move the work-in-progress to the three-coordinate detection unit for inspection; after inspection, robot four will move the work-in-progress to the ring conveyor belt, and the ring conveyor belt will transport the work-in-progress to the corresponding position of the inkjet coding and marking unit and stop, and then robot five will move the work-in-progress to the inkjet coding and marking unit for inkjet coding and marking, and after marking, robot five will move the work-in-progress to the ring conveyor belt; After the circular conveyor belt detects the finished parts, it starts and transports them to the corresponding position in the finished product warehouse and stops. Then the robot completes the storage of the finished parts.

5. The method for producing and constructing an aviation thin-wall double-sided frame based on digital twin according to claim 1, characterized in that: The endless conveyor belt is provided with a photoelectric sensor at a corresponding position of each unit for detecting workpieces.

6. A production system for a production construction method of an aviation thin-wall double-sided frame based on digital twins, which is a production system, characterized in that: Includes physical entity layer, digital twin model layer, twin data layer and application service layer; The physical entity layer includes a blank warehouse, a robot 1, a blank detection unit, a robot 2, a three-axis machining center, a robot 3, a five-axis machining center, a grinding unit, a robot 4, a three-coordinate detection unit, a coding and marking unit, a robot 5, an annular conveyor belt, a finished product warehouse, a workpiece, a computer, an industrial computer, a PLC, a sensor and an RFID. The blank warehouse, the robot 1 and the finished product warehouse are arranged on the east side of the annular conveyor belt; the blank detection unit, the robot 2, the three-axis machining center, the robot 3 and the five-axis machining center are arranged on the north side of the annular conveyor belt in sequence; the grinding unit, the robot 4, the three-coordinate detection unit, the coding and marking unit and the robot 5 are arranged on the south side of the annular conveyor belt in sequence; The digital twin model includes a geometric model, a physical model, a behavioral model, a rule model, a model display and a model management. According to the actual layout of the physical entity layer, the geometric model of each production unit is constructed and optimized by using a three-dimensional modeling software to construct a digital model, including the mechanical structure, shape, position and assembly information of the intelligent manufacturing production line. It can be saved as an FBX or STL format file and imported into the digital twin virtual simulation environment to intuitively display the intelligent manufacturing production line in a visual form. The construction and optimization of the digital twin behavior model of each production unit refers to the response action of the intelligent manufacturing production line to external instructions, external environment, sudden disturbances and internal operating mechanisms, and different evaluation and decision-making behavior models are constructed according to different time scales. The construction and optimization of the digital twin logic model of each production unit of the production line is based on the logic rules of the historical correlation data of the intelligent manufacturing production line, using artificial intelligence algorithms, and through the learning of historical data, the intelligent manufacturing production line is described from the data dimension, and a logic rule model for judgment, optimization and prediction is constructed; The twin data layer includes data cleaning, data classification, data encoding, data labeling, data storage, data mining, data fusion and data conversion to realize the storage and analysis of twin data. The connection and debugging of each unit of the production line with the digital twin system refers to connecting the modules of each unit of the production line through the network, docking with the digital twin simulation system platform, verifying the functional realization of each unit and performing optimization and debugging. The operation simulation and optimization of the digital twin system of the production line refers to the actual double-sided frame parts out of the warehouse - blank inspection - three-axis machining center rough machining - five-axis machining center fine machining - polishing - three-coordinate inspection - inkjet printing - finished product warehousing, real-time linkage production simulation and status monitoring in the physical production line and the digital twin production line, and optimization and adjustment based on the production simulation results.

7. The production system of the digital twin-based aviation thin-wall double-sided frame production construction method according to claim 6, characterized in that: The application service layer includes ERP, PDM, PLM and MES service systems, which can realize real-time monitoring of the operation status of the intelligent production line, prediction of operation process faults, and optimization of manufacturing process decisions.

8. The production system of the digital twin-based aviation thin-wall double-sided frame production construction method according to claim 6, characterized in that: The physical model includes electrical, thermodynamic, and tribological aspects related to the intelligent manufacturing production line. It analyzes the structure, electromagnetic field, thermodynamics, and tribology of the intelligent manufacturing production line based on the finite element model of the physical structure of the intelligent manufacturing production line to describe the physical properties, characteristics, and constraint information of the intelligent manufacturing production line.

9. The production system of the digital twin-based aviation thin-wall double-sided frame production construction method according to claim 6, characterized in that: The digital twin layer is a mapping of the physical entity layer. Through OPC UA technology, real-time data interaction and fusion between the physical entity layer, digital twin model layer, twin data layer and application service layer are realized, thereby realizing virtual and real bidirectional control and operation of the digital twin system.

10. The production system of the digital twin-based aviation thin-wall double-sided frame production construction method according to claim 6, characterized in that: The workpiece is an aluminum alloy or titanium alloy double-sided frame with a wall thickness and a web of 2-3 mm.

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