A packaging workstation mapping system and method based on digital twins

Abstract

This invention provides a packaging workstation mapping system and method based on digital twins. The system includes: a workstation entity, serving as the standard physical entity for the workstation digital twin model; a workstation digital twin model, used to determine the corresponding workstation digital twin model based on the workstation entity through a mapping module; and a mapping module, used for dynamic interaction and feedback control between the workstation entity and the workstation digital twin model. This invention establishes a highly realistic, highly confident, and highly mature digital twin model of an intelligent packaging workstation from four dimensions: physical model, behavioral model, communication model, and information control model. It effectively solves problems such as untimely data interaction between the equipment and management layers, untimely feedback on production line status, and low visualization, laying the foundation for using big data for analysis, optimization, and intelligent decision-making, and creating new production management models.

Description

Technical Field

[0001] This invention belongs to the field of smart factory technology, specifically relating to a packaging workstation mapping system and method based on digital twins. Background Technology

[0002] With the development of a new wave of information technologies such as the Internet of Things, big data, and mobile applications, a global industrial revolution has begun to take shape, and industrial transformation has entered a substantial phase. Intelligentization is an inevitable trend in manufacturing development. However, the practice of smart factories has consistently faced a bottleneck: the difficulty of interaction and integration between digital and physical spaces.

[0003] Existing core equipment in smart factories suffers from problems such as untimely data interaction between the equipment and management layers, insufficient utilization of real-time production data, untimely feedback on production line status, and low visualization, failing to meet the needs of real-time monitoring and maintenance of the production process. Summary of the Invention

[0004] In view of this, embodiments of the present invention provide a packaging workstation mapping system and method based on digital twins to solve the problem that the prior art cannot meet the needs of real-time monitoring and operation and maintenance of the production process.

[0005] According to a first aspect, embodiments of the present invention provide a packaging workstation mapping system based on digital twins, comprising: a workstation entity, a workstation digital twin model, and a mapping module, wherein,

[0006] The workstation entity serves as the standard physical entity for the workstation digital twin model;

[0007] The workstation digital twin model is used to determine the corresponding workstation digital twin model based on the workstation entity through the mapping module;

[0008] The mapping module is used to dynamically interact with and control the workstation entity and the workstation digital twin model.

[0009] Optionally, the workstation entity includes: a robot module, a cover-pushing module, a box-pushing module, a pressing module, a feeding conveyor module, an unloading conveyor module, and a PLC control module.

[0010] Optionally, the workstation digital twin model includes: a digital twin physical model, a digital twin behavioral model, a digital twin communication model, and a digital twin information control model, wherein...

[0011] The digital twin physical model is used to describe the physical properties of each component of the workstation entity and the positional relationships between the components;

[0012] The digital twin behavior model is used to represent the internal logic between the components;

[0013] The digital twin communication model is used to establish a virtual-physical interaction channel for the packaging workstation;

[0014] The digital twin information control model is used to realize mutual control between the workstation entity of the packaging workstation and the workstation digital twin model.

[0015] Optionally, the digital twin behavior model includes: a FANUC robot behavior model, a cylinder module behavior model, a conveyor belt module behavior model, and an integrated behavior model, wherein...

[0016] The FANUC robot behavior model is implemented by decomposing components and configuring the attributes of the FANUC robot to achieve jog control of the FANUC robot.

[0017] The cylinder module behavior model analyzes the motion relationships between various components to achieve the addition and separation of relationships between cylinder components.

[0018] The conveyor belt module behavior model enables the addition and separation of relationships between various components of the conveyor belt by setting the behavior attributes of the conveyor belt;

[0019] The integrated behavior model connects the input and output terminals of different moving parts through signal lines, and interfaces the points controlled by the PLC with the input and output points of the packaging workstation.

[0020] Optionally, the digital twin communication model enables communication between the PLC controller and the preset simulation software through input / output devices.

[0021] Optionally, the PLC controller, acting as the master station, comprises a communication module, an information acquisition module, and an output module, wherein...

[0022] The communication module achieves data interaction through the S7 protocol or the OPC UA protocol;

[0023] The information acquisition module consists of an encoder, a photoelectric sensor, and a magnetic switch, and is used to transmit the acquired information to the PLC controller.

[0024] The output module is connected to the FANUC robot motion module, the cylinder module behavior model, and the conveyor belt module, respectively.

[0025] Optionally, the information acquisition module is used to transmit the acquired angle information, switch information, and position information to the PLC controller, and control the movement of the FANUC robot, the cylinder, and the conveyor belt through the output module.

[0026] According to a second aspect, embodiments of the present invention provide a packaging workstation mapping method based on digital twins, comprising:

[0027] Build the physical workstation;

[0028] Using the workstation entity, a digital twin model of the workstation is constructed through modeling software to achieve interactive control between the workstation entity and the workstation digital twin model;

[0029] The mapping module enables dynamic interaction and feedback control between the workstation entity and the workstation digital twin model.

[0030] This invention provides a non-transitory computer-readable storage medium that stores computer instructions, which, when executed by a processor, implement the digital twin-based packaging workstation mapping method described in the second aspect and any optional embodiment of this invention.

[0031] This invention provides an electronic device, including a memory and a processor, which are communicatively connected. The memory stores computer instructions, and the processor executes the computer instructions to perform the packaging workstation mapping method based on digital twins as described in the second aspect and any optional embodiment of this invention.

[0032] The technical solution of this invention has the following advantages:

[0033] This invention provides a digital twin-based packaging workstation mapping system and method. Based on the collaborative operation mechanism of multiple equipment in production processes and discrete workshops, and using an object-oriented parametric mapping method, a high-fidelity, high-confidence, and high-maturity digital twin model of the intelligent packaging workstation is established from four dimensions: physical model, behavioral model, communication model, and information control model. This model is based on a data-driven dynamic model correction mechanism to achieve full-information simulation of the fidget spinner intelligent manufacturing production line and realize virtual-physical interoperability. Furthermore, different communication protocols and data interaction methods are employed to reduce data transmission latency and achieve virtual-physical synchronization. This effectively solves problems such as untimely data interaction between the equipment and management layers, untimely production line status feedback, and low visualization, laying the foundation for big data analysis, optimization, intelligent decision-making, and the creation of new production management models. Attached Figure Description

[0034] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0035] Figure 1 This is a schematic diagram of a packaging workstation mapping system based on digital twins in an embodiment of the present invention;

[0036] Figure 2 This is a schematic diagram of the overall physical entity structure in an embodiment of the present invention;

[0037] Figure 3 This is another specific schematic diagram of a packaging workstation mapping system based on digital twins in an embodiment of the present invention;

[0038] Figure 4 This is a schematic diagram illustrating the digital twin physical model construction process in an embodiment of the present invention;

[0039] Figure 5 This is a schematic diagram of digital twin physical attribute mapping in an embodiment of the present invention;

[0040] Figure 6 This is a schematic diagram illustrating the digital twin behavior model construction process in an embodiment of the present invention;

[0041] Figure 7 This is a schematic diagram of the integrated behavior model in an embodiment of the present invention;

[0042] Figure 8 This is a schematic diagram of communication and information control for virtual-real mapping in an embodiment of the present invention;

[0043] Figure 9 This is a flowchart illustrating the packaging workstation mapping method based on digital twins in an embodiment of the present invention.

[0044] Figure 10 This is a schematic diagram of the structure of an electronic device in an embodiment of the present invention. Detailed Implementation

[0045] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0046] Furthermore, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0047] This invention provides a packaging workstation mapping system based on digital twins, such as... Figure 1 As shown, the digital twin-based packaging workstation mapping system specifically includes: a workstation entity (01), a workstation digital twin model (02), and a mapping module (03), wherein the workstation entity (01) is the physical entity such as... Figure 2 As shown, the standard physical entity used as the digital twin model (02) of the workstation is a fidget spinner, consisting of a feeding conveyor module (1), a fidget spinner (2), a cover-pushing module (3), a cover (4), a clamping module (5), a FANUC Spider Robot mounting platform (6), a FANUC Spider Robot module (7), a box-pushing module (8), a packaging box (9), a discharging conveyor module (10), a finished product box (11), a desktop (12), and a PLC control module. The FANUC Spider Robot is used for suction, placement, and control; the cover-pushing module is used for suction, placement, and transport of the cover; the box-pushing module is used for pushing and transporting the box; and the clamping module is used for clamping the finished product box. The feeding conveyor module is used for feeding the fidget spinner; the discharging conveyor module is used for discharging the finished product box; and the PLC control module is used for overall control of the packaging workstation.

[0048] The workstation digital twin model (02) is used to determine the corresponding workstation digital twin model based on the workstation entity through the mapping module; the mapping module is used to dynamically interact and provide feedback control between the workstation entity and the workstation digital twin model. Specifically, the mapping module is a high-fidelity mapping between the workstation entity and the workstation digital twin model.

[0049] This invention provides a digital twin-based packaging workstation mapping system. Based on the production process and the collaborative operation mechanism of multiple equipment in a discrete workshop, and using an object-oriented parametric mapping method, a high-fidelity, high-confidence, and high-maturity digital twin model of the intelligent packaging workstation is established from four dimensions: physical model, behavioral model, communication model, and information control model, based on the physical prototype platform of the intelligent packaging workstation in an intelligent manufacturing production line. A data-driven model dynamic correction mechanism enables full-information simulation of the fidget spinner intelligent manufacturing production line, achieving virtual-physical interoperability. Furthermore, different communication protocols and data interaction methods are employed to reduce data transmission latency and achieve virtual-physical synchronization. This effectively solves problems such as untimely data interaction between the equipment and management layers, untimely production line status feedback, and low visualization, laying the foundation for big data analysis, optimization, intelligent decision-making, and the creation of new production management models.

[0050] This invention also provides a packaging workstation mapping system based on digital twins, such as... Figure 3 As shown, the aforementioned workstation digital twin model specifically includes: a digital twin physical model, a digital twin behavioral model, a digital twin communication model, and a digital twin information control model, wherein...

[0051] The digital twin physical model describes the physical properties of each component of the workstation entity and the positional relationships between them. It specifically describes the size, shape, structure, and other physical properties of each component, revealing the positional and assembly relationships between them. The digital twin behavioral model represents the internal logic between the components. It consists of the FANUC robot behavioral model, cylinder module behavioral model, conveyor belt module behavioral model, and integrated behavioral model, expressing the constraints and motion patterns between the physical objects and revealing the internal logic between the moving components.

[0052] In this embodiment, as Figure 4 The digital twin physical model shown primarily utilizes SolidWorks software. First, a reference plane is selected. Then, based on the measured actual dimensions of each physical entity and hole relationships, 3D models of each part are created through sketching, extrusion, cutting, and fillet / bevel finishing. Subsequently, the parts are assembled into a component according to the assembly relationships of the physical entities, using concentricity, sliding, and rotational mating methods. Specifically, the digital twin physical attribute mapping relationships are as follows: Figure 5 As shown. Then, each component is imported into the overall assembly, and its connection attributes are configured according to the positional relationship of each assembly to form a complete hierarchical relationship.

[0053] The specific process of constructing the digital twin behavior model in this embodiment is as follows: Figure 6As shown, the FANUC robot behavior model primarily utilizes the Visual Components digital twin software. The intelligent factory digital twin simulation technology based on Visual Components (a pre-set simulation software) is a comprehensive application technology integrating motion control modeling, simulation, information management, interactive user interface, and virtual reality. Specifically, the FANUC robot's attributes can be configured through component decomposition to achieve jog control. This involves importing the 3D visualization model of the fidget spinner intelligent packaging workstation into the Visual Components digital twin software; decomposing the components; configuring the physical attributes of the FANUC robot; defining the world coordinate origin of the robot's base; defining each moving component; defining multiple hand tool coordinate origins; configuring its behavior attributes; configuring the robot controller, servo driver, and hand gripper connection interface; setting the kinematic pairs according to the actual motion coordination of each joint of the robot; configuring control signal input / output nodes; creating a robot motion planning script; and writing the jog control program for the robot's motion.

[0054] The cylinder module behavior model analyzes the motion relationships between various components to achieve the addition and separation of these relationships. In practical applications, it analyzes the motion relationships between components, adds servo controller attributes to the cylinder, sets multiple Boolean signals such as cylinder start / stop control, controls servo reciprocating motion in a Python script to simulate the extension and retraction of the cylinder piston rod, sets a magnetic switch on the outside of the cylinder body, and associates the servo stroke with the color of the magnetic switch in the Python script, configures photoelectric sensor signals, configures component container attributes, and configures body container attributes. It also achieves automatic addition and separation of parent-child relationships through a Python program.

[0055] Specifically, a behavior model of the cylinder module is constructed to analyze the relationships between the various components in the fidget spinner intelligent packaging workstation. The lid-mounting function requires the cooperation of left and right cylinders, up and down cylinders, a lid-carrying cylinder, and a suction cup. The left and right moving cylinders and the up and down moving cylinders have a hierarchical relationship; the movement of the left and right cylinders drives the up and down cylinders, but the movement of the up and down cylinders does not drive the up and down moving cylinders. When the photoelectric sensor outside the lid-carrying cylinder tray detects a lid, the piston rod of the lid-carrying cylinder will extend, transporting the lid to the far right of the lid-mounting worktable. A lid movement positioning sensor is placed at this location; when the arrival of the lid is detected, the spider-hand robot is triggered to pick up the package.

[0056] After analyzing the motion relationships between the components, a high-fidelity behavioral model of the upper cover worktable is constructed. Linear motion links are configured between the cylinder piston and the cylinder body. Due to the hierarchical relationship between the left and right cylinders and the upper and lower cylinders, the linear motion links of the upper and lower cylinders are included within the linear motion links of the left and right cylinders. Next, servo controller attributes are added to the cylinders, and multiple Boolean signals are set to facilitate cylinder start-stop control. In a Python script, the servo is controlled to move between the set maximum and minimum values, realizing the extension and retraction of the cylinder piston rod. Additionally, a magnetic switch is installed on the outside of the cylinder body. In the Python script, the minimum and maximum values ​​of the servo are associated with the color of the magnetic switch; when the servo decreases to the minimum value or increases to the maximum value, the corresponding magnetic switch will be lit.

[0057] A photoelectric sensor signal is configured below the suction cup and outside the lid tray. Component container attributes are configured for the suction cup and lid cylinder, and a body container attribute is configured in the top cover worktable. Automatic attachment and separation of parent-child relationships can be achieved through a Python program, as follows: When the sensor detects an object, the object's component signal is stored in the suction nozzle component container or the lid cylinder component container. The object is attached to the parent, allowing it to move with the suction cup or lid cylinder. When the sensor signal is 0, meaning the sensor has not detected an object, the object's component signal is stored in the body container. At this point, the parent-child relationship is separated, the object belongs to the ground, and it does not move with the suction cup or lid cylinder. This configuration method can complete the adsorption and separation of child and parent components.

[0058] The conveyor belt module behavior model achieves the attachment and separation of relationships between various components of the conveyor belt by setting its behavioral attributes. Specifically, the construction of the conveyor belt module behavior model first clarifies the start-stop principle and behavioral attributes of the conveyor belt. The start and stop of the conveyor belt are determined by its speed value. When the motor speed value is not 0, the conveyor belt is in the start state; when the motor speed value is 0, the conveyor belt is in the off state. The most critical behavioral attribute of the conveyor belt is the unidirectional path attribute, and its configuration principle is similar to that of the cylinder module mentioned above, also based on the principle of automatic attachment and separation of parent-child relationships. Photoelectric sensor signals are set at the start and end points of the conveyor belt, and signals for the conveyor belt components and the main body components are set. When the fidget spinner is fed onto the feeding conveyor belt, the photoelectric sensor at the start of the conveyor belt recognizes the object and attaches the captured fidget spinner component signal to the conveyor belt, which then moves along the path set by the conveyor belt. When the fidget spinner moves to the end of the conveyor belt, the photoelectric sensor at the end recognizes the object and releases the fidget spinner component signal to the main body of the model, thereby achieving the effect of stopping the transport when the object reaches the designated position.

[0059] The integrated behavioral model connects the input and output terminals of different moving parts via signal lines, and interfaces the PLC-controlled points with the input and output points of the packaging workstation. The construction of the integrated behavioral model requires connecting the input and output terminals of different moving parts on the fidget spinner intelligent packaging workstation via signal lines according to the actual production needs of the physical production line, thus forming a controllable and complete behavioral model system for the fidget spinner intelligent packaging workstation. Furthermore, by adding virtual PLC control and interfaced with the input and output points of the fidget spinner intelligent packaging workstation, it is possible to enable the physical PLC program to control the digital twin model when connected, laying the foundation for the next step of virtual-physical mapping. In this embodiment, the above-mentioned integrated behavioral model is as follows: Figure 7 As shown.

[0060] Digital twin communication models such as Figure 8 As shown, the virtual-real mapping communication and information control process is used to establish a virtual-real interaction channel for the packaging workstation. The digital twin communication model, through input / output devices, enables communication between the PLC controller and the preset simulation software. This bridges the PLC and Visual Components, establishing a virtual-real interaction channel for the fidget spinner intelligent packaging workstation. Specifically, the PLC controller, acting as the master station, consists of a communication module, an information acquisition module, and an output module. The communication module achieves data interaction via the S7 protocol or OPC UA protocol. The information acquisition module, composed of an encoder, photoelectric sensors, and magnetic switches, transmits the acquired information to the PLC controller. The output module is connected to the FANUC robot motion module, cylinder module behavior model, and conveyor belt module, respectively. In this embodiment, the Visual Components in the communication module interact with the PLC communication module via the S7 protocol or OPC UA protocol. The information acquisition module, composed of an encoder, photoelectric sensors, and magnetic switches, transmits the acquired information to the PLC. The output module is connected to the robot motion module, cylinder motion module, and conveyor belt motion module. Each motion module is composed of various moving parts that achieve motion through specific structures, circuits, and control methods.

[0061] The digital twin information control model is used to achieve mutual control between the physical workstation and its digital twin model within the packaging workstation. In this model, the information acquisition module transmits collected angle, switch, and position information to the PLC. The PLC analyzes and processes the data, then controls the movement of the robot, cylinders, conveyor belts, etc., in the motion module via its output module. Simultaneously, the movement of motors, cylinders, etc., is fed back to the PLC through the information acquisition module, achieving closed-loop control.

[0062] The digital twin information control model associates the IP addresses of the PLC and Visual Components; enables a bidirectional communication interface; and pairs the virtual input / output points of the digital twin model with the input / output points of each physical entity module in the PLC. Data generated during the operation of the digital twin model is transmitted to the PLC in real time via the OPC UA protocol or S7 protocol. The PLC controls the movement of each module of the physical entity and transmits real-time production data to the digital twin model. This achieves virtual-real mapping, synchronization, and mutual control between the physical entity and the twin model of the fidget spinner intelligent packaging workstation.

[0063] Regarding the virtual-physical mapping, after associating the PLC and VisualComponents IP addresses in the Visual Components connectivity plugin, the "Simulation to Server" and "Server to Simulation" interfaces are enabled, pairing the virtual input / output points of each workstation's information control object with the input / output points of each physical module in the PLC. At this point, data generated during the operation of the virtual model in Visual Components is transmitted to the PLC in real time via the OPC UA or S7 protocol. The PLC processes and analyzes the received data and sends control signals to each execution unit to control the movement of each execution unit on the physical production line. Similarly, the PLC also transmits real-time data generated during production line operation to VisualComponents. After further analysis and processing in the digital twin model, this data is applied to the workstation's virtual model, thereby achieving real-time correction of the digital twin model. This process realizes the virtual-physical mapping between the physical entity of the fidget spinner intelligent packaging workstation and its twin model, achieving virtual-physical synchronization and mutual control.

[0064] This invention provides a packaging workstation mapping method based on digital twins, specifically including the following steps:

[0065] Step S1: Build the workstation entity; for details of the building process, please refer to the above system embodiment, which will not be repeated in this embodiment.

[0066] Step S2: Using the workstation entity, construct a digital twin model of the workstation through modeling software to realize interactive control between the workstation entity and the workstation digital twin model; for details of the specific process, please refer to the above system embodiment, which will not be repeated in this embodiment.

[0067] Step S3: The workstation entity and the workstation digital twin model are dynamically interacted and feedback controlled through the mapping module; for details of the process, please refer to the above system embodiment, which will not be repeated in this embodiment.

[0068] In practical applications, the specific setup process is as follows: Figure 9The diagram illustrates the overall mapping process. This embodiment, based on the production process and the collaborative operation mechanism of multiple equipment in a discrete workshop, and using an object-oriented parametric mapping method, establishes a highly realistic, high-confidence, and highly mature digital twin model of the intelligent packaging workstation based on the physical prototype platform of the intelligent packaging workstation in an intelligent manufacturing production line. This model encompasses four dimensions: physical model, behavioral model, communication model, and information control model. A data-driven model dynamic correction mechanism enables full-information simulation of the fidget spinner intelligent manufacturing production line, achieving virtual-real interoperability. Furthermore, different communication protocols and data interaction methods are employed to reduce data transmission latency and achieve virtual-real synchronization. This effectively solves problems such as untimely data interaction between the equipment and management layers, untimely production line status feedback, and low visualization, laying the foundation for big data analysis, optimization, intelligent decision-making, and the creation of new production management models.

[0069] This invention also provides an electronic device, such as... Figure 10 As shown, the electronic device may include a processor 901 and a memory 902, wherein the processor 901 and the memory 902 may be connected via a bus or other means. Figure 10 Taking the example of a connection between China and Israel via a bus.

[0070] Processor 901 can be a Central Processing Unit (CPU). Processor 901 can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations of the above types of chips.

[0071] The memory 902, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the method in this embodiment of the invention. The processor 901 executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions, and modules stored in the memory 902, thereby implementing the above-described method.

[0072] The memory 902 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created by the processor 901, etc. Furthermore, the memory 902 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 902 may optionally include memory remotely located relative to the processor 901, and these remote memories may be connected to the processor 901 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0073] One or more modules are stored in memory 902 and, when executed by processor 901, perform the above method.

[0074] The specific details of the aforementioned electronic device can be understood by referring to the relevant descriptions and effects in the above method embodiments, and will not be repeated here.

[0075] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk drive (HDD), or solid-state drive (SSD), etc.; the storage medium can also include combinations of the above types of memory.

[0076] The above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of the claims of the present invention.

Claims

1. A packaging workstation mapping system based on digital twins, characterized in that, include: The workstation entity, the workstation digital twin model, and the mapping module, among which, The workstation entity serves as the standard physical entity for the workstation digital twin model; The workstation digital twin model is used to determine the corresponding workstation digital twin model based on the workstation entity through the mapping module; The mapping module is used to dynamically interact with and control the workstation entity and the workstation digital twin model. The workstation digital twin model includes: a digital twin physical model, a digital twin behavioral model, a digital twin communication model, and a digital twin information control model, wherein... The digital twin physical model is used to describe the physical properties of each component of the workstation entity and the positional relationships between the components; The digital twin behavior model is used to represent the internal logic between the components; The digital twin communication model is used to establish a virtual-physical interaction channel for the packaging workstation; The digital twin information control model is used to realize the mutual control between the workstation entity of the packaging workstation and the workstation digital twin model; The digital twin behavior model includes: a FANUC robot behavior model, a cylinder module behavior model, a conveyor belt module behavior model, and an integrated behavior model, wherein... The FANUC robot behavior model is implemented by decomposing components and configuring the attributes of the FANUC robot to achieve jog control of the FANUC robot. The cylinder module behavior model analyzes the motion relationships between various components to achieve the addition and separation of relationships between cylinder components. The conveyor belt module behavior model enables the addition and separation of relationships between various components of the conveyor belt by setting the behavior attributes of the conveyor belt; The integrated behavior model connects the input and output terminals of different moving parts through signal lines, and interfaces the points controlled by the PLC with the input and output points of the packaging workstation. The digital twin communication model enables communication between the PLC controller and the preset simulation software through input / output devices.

2. The packaging workstation mapping system based on digital twins according to claim 1, characterized in that, The workstation entity includes: a robot module, a cover-pushing module, a box-pushing module, a pressing module, a feeding conveyor belt module, an unloading conveyor belt module, and a PLC control module.

3. The packaging workstation mapping system based on digital twins according to claim 2, characterized in that, The PLC controller, acting as the master station, consists of a communication module, an information acquisition module, and an output module. The communication module achieves data interaction through the S7 protocol or the OPC UA protocol; The information acquisition module consists of an encoder, a photoelectric sensor, and a magnetic switch, and is used to transmit the acquired information to the PLC controller. The output module is connected to the FANUC robot motion module, the cylinder module behavior model, and the conveyor belt module, respectively.

4. The packaging workstation mapping system based on digital twins according to claim 3, characterized in that, The information acquisition module is used to transmit the acquired angle information, switch information, and position information to the PLC controller, and control the movement of the FANUC robot, the cylinder, and the conveyor belt through the output module.

5. A method for a packaging workstation mapping system based on digital twins as described in any one of claims 1-4, characterized in that, include: Build the physical workstation; Using the workstation entity, a digital twin model of the workstation is constructed through modeling software to achieve interactive control between the workstation entity and the workstation digital twin model; The mapping module enables dynamic interaction and feedback control between the workstation entity and the workstation digital twin model.

6. A non-transitory computer-readable storage medium, characterized in that, The non-transitory computer-readable storage medium stores computer instructions that, when executed by a processor, implement the packaging workstation mapping method based on digital twins as described in claim 5.

7. An electronic device, characterized in that, include: The system includes a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to perform the packaging workstation mapping method based on digital twins as described in claim 5.

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