Digital twin automatic wiring equipment based on fusion of large model algorithm and AI vision algorithm

Abstract

The invention discloses digital twin automatic wiring equipment based on fusion of a large model algorithm and an AI vision algorithm, and belongs to the technical field of automatic wiring equipment. The equipment comprises an execution module, an AI visual acquisition module, a digital twinborn data acquisition module, a communication module and a digital twinborn management and control platform integrated with a dual-algorithm module, the execution module realizes wire clamping and three-dimensional movement, the AI visual acquisition module completes accurate positioning and process tracking, the digital twin data acquisition module acquires equipment operation state data in real time, the communication module realizes data interaction and instruction transmission, and the digital twin management and control platform constructs an equipment virtual mapping model. And parameter self-optimization, fault prediction and virtual-real cooperative regulation and control are realized. The problems that traditional equipment is inaccurate in positioning, poor in adaptability, lagged in regulation and control and the like are solved, the wiring quality and the operation efficiency are remarkably improved, the operation and maintenance cost is reduced, and the method is suitable for wiring scenes of assembly of various electrical equipment.

Description

Technical Field

[0001] This invention relates to the field of automatic wiring equipment technology, and specifically to a digital twin automatic wiring equipment based on the fusion of large model algorithm and AI vision algorithm. Background Technology

[0002] In electrical equipment assembly and wiring construction, automated wiring equipment is crucial for improving work efficiency and ensuring wiring quality. Traditional automated wiring equipment often uses preset programs to drive actuators to complete wiring actions, which has the following drawbacks: First, positioning accuracy relies on mechanical calibration, which is greatly affected by factors such as workpiece placement deviations and equipment wear, easily leading to problems such as wiring misalignment and poor contact. Second, it lacks the ability to perceive and dynamically adjust the work process in real time, resulting in poor adaptability when encountering unexpected situations such as changes in wire specifications or workpiece posture deviations. Third, equipment operation status monitoring and fault diagnosis are lagging behind, relying heavily on manual inspections, making predictive maintenance difficult and affecting the stability of continuous equipment operation. Fourth, it lacks a virtual-real linkage control mechanism, making it impossible to simulate and optimize the actual work process through virtual models, resulting in long parameter debugging cycles and limited improvement in work efficiency.

[0003] With the development of technologies such as digital twins and artificial intelligence, some automated equipment has begun to incorporate single visual recognition or digital twin technologies. However, existing technologies often suffer from insufficient integration: equipment using only visual recognition struggles to handle multi-source data correlation analysis in complex environments, and its parameter optimization capabilities are limited; equipment using only digital twins lacks precise visual guidance, and the mapping accuracy between virtual models and physical entities is difficult to guarantee. Therefore, there is an urgent need for an automated wiring device that deeply integrates large-scale model algorithms, AI visual algorithms, and digital twin technology to solve problems such as inaccurate positioning, poor adaptability, and lagging control in traditional equipment. Summary of the Invention

[0004] In view of this, the purpose of this application is to provide a digital twin automatic wiring device based on the fusion of large model algorithm and AI vision algorithm, so as to solve the technical defects of existing automatic wiring devices, such as low positioning accuracy, poor adaptability, and lack of real-time monitoring and virtual-real collaborative control capabilities.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A digital twin automatic wiring device based on the fusion of large model algorithm and AI vision algorithm includes an execution module, an AI vision acquisition module, a digital twin data acquisition module, a communication module, and a digital twin management and control platform. The digital twin management and control platform integrates the large model algorithm module and the AI ​​vision processing module, and the modules work together to achieve precise control and intelligent regulation of automatic wiring.

[0007] I. Execution Module

[0008] The execution module is used to complete the wire clamping, moving and wiring actions, including the base, clamping cylinder, clamping plate, connector, housing, column, X-axis moving mechanism, Y-axis moving mechanism, clamping mechanism and Z-axis moving mechanism.

[0009] The base provides support for the entire device, with multiple clamping cylinders mounted on its top. Clamping plates are installed on the telescopic ends of the clamping cylinders. The housing is placed on top of the base and clamped and fixed by the clamping plates to ensure the stability of the housing during wiring. Connectors are installed inside the housing, serving as the wiring target components. The column is vertically mounted on top of the base to support the X-axis moving mechanism. The telescopic end of the X-axis moving mechanism is fixedly connected to the Y-axis moving mechanism, and the telescopic end of the Y-axis moving mechanism is fixedly connected to the Z-axis moving mechanism. The gripper mechanism is installed on the telescopic end of the Z-axis moving mechanism. Through the coordinated action of the X, Y, and Z-axis moving mechanisms, the gripper mechanism achieves precise movement in three-dimensional space.

[0010] The clamping mechanism specifically includes clamping arms, a clamping drive unit, a connecting base, a drive gear, a motor, and a rotating gear. The clamping drive unit is rotatably mounted below the connecting base. Two clamping arms are symmetrically slidably mounted on the bottom end of the clamping drive unit. Semi-circular clamping holes are formed in the middle of opposite sides of the clamping arms. The two clamping holes combine to form a wire clamping hole, ensuring the stability of the wire clamping. The rotating gear is mounted at the top of the rotating shaft of the clamping drive unit. The motor is mounted at the top of the connecting base. The drive gear is mounted at the output end of the motor and meshes with the rotating gear. The motor drives the drive gear to rotate, which in turn rotates the rotating gear and the clamping drive unit, allowing for angle adjustment of the clamping arms to accommodate wiring requirements at different angles.

[0011] II. Digital Twin Data Acquisition Module

[0012] The digital twin data acquisition module is electrically connected to the clamping cylinder, X-axis moving mechanism, Y-axis moving mechanism, gripper mechanism, and Z-axis moving mechanism, respectively, to comprehensively collect the operating status data of each component, providing data support for digital twin modeling and intelligent control. Specifically, this module includes pressure sensors and displacement sensors. The pressure sensor is installed inside the clamping plate to collect the clamping pressure data of the plate on the housing, preventing damage to the housing due to excessive clamping force or displacement due to insufficient clamping force. The displacement sensors are installed on the X-axis, Y-axis, and Z-axis moving mechanisms to collect displacement data of each moving mechanism, accurately feeding back the spatial position of the actuators. In addition, an encoder is installed on the motor, electrically connected to the digital twin data acquisition module, to collect the motor's speed and angle data, enabling precise control of the gripper mechanism's angle adjustment.

[0013] III. AI Vision Acquisition Module

[0014] The AI ​​vision acquisition module includes an industrial camera, lens, light source, and image processor. The industrial camera is mounted on the top of the column and on the Z-axis mounting base. The camera on the column top is used to acquire global images of the housing and connectors, enabling initial workpiece positioning. The camera on the Z-axis mounting base is used to acquire close-up high-definition images of the wires and wiring targets, enabling real-time tracking of the wiring process. The image processor is electrically connected to the industrial camera and is used to preprocess the acquired images, such as denoising, enhancement, binarization, and feature recognition, to extract key information such as wire specifications, connector positions, and wiring target coordinates.

[0015] IV. Communication Module

[0016] The communication module is electrically connected to the digital twin data acquisition module, the AI ​​vision acquisition module, and the digital twin management platform, respectively, and uses wired or wireless communication to realize data transmission and command interaction. It transmits the operating status data collected by the digital twin data acquisition module and the image feature information extracted by the AI ​​vision acquisition module to the digital twin management platform in real time, while simultaneously transmitting the control commands generated by the digital twin management platform to each execution component, ensuring the real-time performance and reliability of information transmission.

[0017] V. Digital Twin Management Platform

[0018] The digital twin management platform integrates a large-scale model algorithm module and an AI vision processing module, serving as the core management unit for the equipment. Based on multi-source data transmitted from the digital twin data acquisition module and the AI ​​vision acquisition module, it constructs a virtual mapping model corresponding to the physical equipment, achieving real-time mapping of the physical entity's state. Specifically, the AI ​​vision processing module, based on image data acquired by industrial cameras, identifies wire specifications, locates housings and connectors, and visually tracks the wiring process, providing precise guidance for the movement and clamping of actuators. The large-scale model algorithm module, based on multi-source data including operating status data, image feature data, and historical wiring data, performs parameter self-optimization, fault prediction, and diagnosis. By analyzing deviation data during the wiring process, it automatically adjusts the motion parameters of each moving mechanism and the clamping force parameters of the clamping cylinder, improving wiring accuracy. Simultaneously, through trend analysis of equipment operating data, it predicts potential faults such as motor wear and sensor failure and issues early warnings. Furthermore, the digital twin management platform enables collaborative virtual-physical control. It can simulate equipment operating states under different wiring scenarios through a virtual model, optimize work processes, and then send the optimized parameters to the physical equipment, achieving a dual improvement in work efficiency and quality.

[0019] VI. Optimized Technical Features

[0020] The base is equipped with a number of clamping cylinders, which are symmetrically distributed on both sides of the housing to ensure the balance and stability of the housing clamping and to prevent the housing from shifting due to force on one side.

[0021] The clamping plate has an elastic buffer layer on the side closest to the housing. This elastic buffer layer is made of rubber and has anti-slip textures on its surface. The rubber elastic buffer layer prevents excessive clamping force from damaging the housing, while the anti-slip textures increase the friction between the clamping plate and the housing, further improving clamping stability.

[0022] The X-axis moving mechanism includes an X-axis linear guide rail, an X-axis slider, and an X-axis drive motor. The X-axis linear guide rail is mounted on the top of the column, and the X-axis slider is slidably mounted on the X-axis linear guide rail. The X-axis drive motor is connected to the X-axis slider for transmission, and the Y-axis moving mechanism is fixedly connected to the X-axis slider. The cooperation between the linear guide rail and the slider ensures the moving accuracy and stability of the X-axis moving mechanism.

[0023] The structure of the Y-axis moving mechanism is the same as that of the X-axis moving mechanism, and the moving direction of the Y-axis moving mechanism is perpendicular to the moving direction of the X-axis moving mechanism, so as to realize the two-dimensional precise movement of the actuator on the horizontal plane.

[0024] The Z-axis moving mechanism includes a Z-axis cylinder and a Z-axis mounting base. The fixed end of the Z-axis cylinder is fixedly connected to the telescopic end of the Y-axis moving mechanism. The Z-axis mounting base is installed on the telescopic end of the Z-axis cylinder. The connecting seat of the gripper mechanism is fixedly connected to the Z-axis mounting base. The gripper mechanism is driven to move vertically by the Z-axis cylinder to achieve precise docking between the wire and the connector.

[0025] The bottom of the clamping drive unit has two symmetrical sliding grooves, and the top of the two clamping arms is provided with sliding protrusions that are adapted to the sliding grooves. The clamping arms slide along the clamping drive unit through the cooperation of the sliding protrusions and the sliding grooves, ensuring the smoothness and accuracy of the opening and closing action of the clamping arms.

[0026] The motor is a servo motor, which features high control precision and fast response speed, enabling precise adjustment of the gripper angle. The encoder settings can provide real-time feedback of the motor's speed and angle data, facilitating precise monitoring and control of the motor's operating status by the digital twin management platform.

[0027] Compared with the prior art, the beneficial effects of the present invention are:

[0028] 1. Precise positioning and high-quality wiring: The AI ​​vision acquisition module enables wire specification recognition, workpiece positioning, and real-time tracking of the wiring process, providing precise guidance for the actuator; combined with displacement, pressure, and other data collected by the digital twin data acquisition module, it realizes closed-loop control of the actuator, effectively avoiding problems such as wiring misalignment and poor contact, and improving wiring quality.

[0029] 2. High adaptability and flexibility: The large model algorithm module integrated in the digital twin control platform can achieve parameter self-optimization based on multi-source data. When encountering sudden situations such as changes in wire specifications or workpiece posture deviation, it automatically adjusts the operating parameters without the need for manual recalibration, thereby improving the adaptability and flexibility of the equipment.

[0030] 3. Virtual-physical collaboration and efficient control: Based on multi-source data, a digital twin virtual mapping model is constructed. Different wiring scenarios can be simulated through the virtual model to optimize the operation process and parameters. At the same time, real-time linkage between physical entities and virtual models can be realized. The virtual model can be used to remotely control and monitor the status of physical equipment, shorten the parameter debugging cycle, and improve operation efficiency.

[0031] 4. Intelligent monitoring and convenient operation and maintenance: The large model algorithm module can predict and diagnose faults based on operational data, predict potential equipment faults in advance and issue early warnings, which facilitates timely maintenance by staff; the digital twin management and control platform can display the equipment operating status in real time, replacing traditional manual inspections and reducing operation and maintenance costs.

[0032] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the preferred embodiments of this application are described in detail below with reference to the accompanying drawings.

[0033] The above and other objects, advantages and features of this application will become more apparent to those skilled in the art from the following detailed description of specific embodiments in conjunction with the accompanying drawings. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In all drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to scale.

[0035] Figure 1 This is a schematic diagram of the structure of the present invention;

[0036] Figure 2 This is a structural diagram of the gripping mechanism in this invention;

[0037] Figure 3 This is a block diagram of the present invention.

[0038] In the diagram: 1. Base; 2. Clamping cylinder; 3. Clamping plate; 4. Connector; 5. Housing; 6. Column; 7. X-axis moving mechanism; 8. Y-axis moving mechanism; 9. Clamping mechanism; 10. Z-axis moving mechanism; 91. Clamping hole; 92. Clamping arm; 93. Clamping drive unit; 94. Connecting seat; 95. Drive gear; 96. Motor; 97. Rotating gear. Detailed Implementation

[0039] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. In the following description, specific details such as specific configurations and components are provided merely to help fully understand the embodiments of this application. Therefore, those skilled in the art should understand that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this application. In addition, for clarity and brevity, descriptions of known functions and structures are omitted in the embodiments.

[0040] Furthermore, reference numerals and / or letters may be repeated in different examples within this application. Such repetition is for the purpose of simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or settings discussed.

[0041] In this article, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can mean: A exists alone, B exists alone, and A and B exist simultaneously. The term " / and" in this article describes another type of relationship between related objects, indicating that two relationships can exist. For example, A / and B can mean: A exists alone, and A and B exist alone. In addition, the character " / " in this article generally indicates that the related objects before and after it are in an "or" relationship.

[0042] It should also be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion.

[0043] Please see Figure 1-3 This invention provides a technical solution for a digital twin automated wiring device based on the fusion of large model algorithms and AI vision algorithms:

[0044] A digital twin automatic wiring device based on the fusion of large model algorithm and AI vision algorithm includes an execution module, an AI vision acquisition module, a digital twin data acquisition module, a communication module, and a digital twin management and control platform.

[0045] I. Execution Module Structure and Installation

[0046] The base 1 is made of cast iron to ensure support stability. Four clamping cylinders 2 are bolted to the top of the base 1, symmetrically distributed on both sides of the housing 5. Each clamping cylinder 2 has a clamping plate 3 threadedly connected to its telescopic end. A rubber elastic buffer layer is adhered to the side of the clamping plate 3 closest to the housing 5, and the surface of the elastic buffer layer is pressed with anti-slip texture. The housing 5 is placed at the center of the top of the base 1, and the clamping plates 3 are extended and retracted by the four clamping cylinders 2 to clamp and fix the housing 5. The connecting piece 4 is fixed to a preset position inside the housing 5 with screws.

[0047] The column 6 is fixedly installed on one side of the top of the base 1 via a flange and bolts. The X-axis moving mechanism 7 is fixedly installed on the top of the column 6 via bolts. The X-axis moving mechanism 7 includes an X-axis linear guide rail, an X-axis slider, and an X-axis drive motor. The X-axis linear guide rail is fixed horizontally to the top of the column 6. The X-axis slider is slidably installed on the X-axis linear guide rail. The X-axis drive motor is connected to the X-axis slider via a synchronous belt, driving the X-axis slider to move along the X-axis linear guide rail. The Y-axis moving mechanism 8 is fixedly connected to the X-axis slider via bolts. The structure of the Y-axis moving mechanism 8 is the same as that of the X-axis moving mechanism 7. Its X-axis linear guide rail is set in a horizontal direction perpendicular to the X-axis moving mechanism 7, realizing movement in the Y-axis direction.

[0048] The Z-axis moving mechanism 10 includes a Z-axis cylinder and a Z-axis mounting base. The fixed end of the Z-axis cylinder is fixedly connected to the slider of the Y-axis moving mechanism 8 by bolts. The Z-axis mounting base is installed on the telescopic end of the Z-axis cylinder by threaded connection. The connecting seat 94 of the gripper mechanism 9 is fixedly connected to the Z-axis mounting base by bolts. The gripping drive unit 93 of the gripper mechanism 9 is rotatably mounted below the connecting seat 94 by bearings. The bottom end of the gripping drive unit 93 has two symmetrical T-shaped sliding grooves. The top ends of the two gripping arms 92 are integrally formed with T-shaped sliding protrusions that are adapted to the T-shaped sliding grooves. The two gripping arms 92 are symmetrically slidably mounted on the bottom end of the gripping drive unit 93 through the cooperation of the sliding protrusions and the sliding grooves. The middle of the opposite side of the gripping arms 92 has a semi-circular gripping hole 91. The two gripping holes 91 are combined to form a wire hole with a diameter of 5mm. Rotating gear 97 is mounted on the top of the rotating shaft of clamping drive unit 93 via a flat key. Servo motor 96 is mounted on the top of connecting seat 94 via bolts. Drive gear 95 is mounted on the output end of servo motor 96 via a flat key, and drive gear 95 is meshed with rotating gear 97. Incremental encoder is integrated on servo motor 96.

[0049] II. Installation and Connection of Other Modules

[0050] The digital twin data acquisition module includes a pressure sensor and a displacement sensor. The pressure sensor is a miniature piezoresistive pressure sensor, which is attached to the elastic buffer layer inside the clamping plate 3. The displacement sensor is a laser displacement sensor, which is mounted on the sliders of the X-axis moving mechanism 7, Y-axis moving mechanism 8 and Z-axis moving mechanism 10 respectively through brackets, and is used to collect the displacement data of each slider. The encoder is electrically connected to the digital twin data acquisition module through wires.

[0051] The AI ​​vision acquisition module includes an industrial camera, a lens, a light source, and an image processor. The industrial camera is a 5-megapixel industrial CCD camera. One of the industrial cameras is mounted on the top of the column 6 via a bracket. It uses an 8mm fixed-focus lens and a ring LED light source to acquire global images of the housing 5 and the connector 4. The other industrial camera is mounted on the Z-axis mounting base via a bracket. It uses a 12mm fixed-focus lens and a coaxial LED light source to acquire close-up images of the wires and connection targets. Both industrial cameras are electrically connected to the image processor via a USB interface. The image processor is an embedded image processor.

[0052] The communication module adopts an industrial Ethernet module, which is electrically connected to the digital twin data acquisition module, image processor, and digital twin management platform via Ethernet cables. The digital twin management platform adopts an industrial computer, which integrates a large model algorithm module based on the Transformer architecture pre-trained large model and an AI vision processing module based on the YOLOv8 image recognition algorithm.

[0053] III. Equipment Working Process

[0054] 1. Initialization phase: Place the housing 5 to be wired on the top of the base 1. The digital twin control platform sends a command to the clamping cylinder 2. The clamping cylinder 2 drives the clamping plate 3 to extend and retract, clamping and fixing the housing 5. The pressure sensor collects the clamping pressure data in real time and transmits it to the digital twin control platform. The platform adjusts the extension and retraction of the clamping cylinder 2 according to the preset pressure threshold of 0.5-1MPa to ensure stable clamping without damaging the housing 5.

[0055] 2. Visual positioning stage: The industrial camera of the AI ​​vision acquisition module is activated. The industrial camera at the top of the column 6 acquires a global image of the housing 5 and the connector 4. After the image processor preprocesses the image, the AI ​​vision processing module identifies the position coordinates of the connector 4 and transmits the coordinate data to the digital twin control platform. At the same time, the industrial camera on the Z-axis mounting base acquires an image of the area where the wire is placed and identifies the specifications and position of the wire.

[0056] 3. Digital Twin Modeling Stage: Based on the position data transmitted by the AI ​​vision acquisition module and the initial state data transmitted by the digital twin data acquisition module, such as the initial displacement and clamping pressure of each moving mechanism, the digital twin control platform constructs a virtual mapping model of the equipment and the workpiece, realizing the initial alignment between the physical entity and the virtual model.

[0057] 4. Wiring Execution Phase: Based on the position data of connector 4 and wire, the digital twin control platform plans the motion paths of the X, Y, and Z axis moving mechanisms and sends control commands to each drive component through the communication module. The X and Y axis moving mechanisms drive the gripper mechanism 9 to move above the wire, the Z axis cylinder drives the gripper mechanism 9 to descend, and the clamping drive unit 93 drives the two clamping arms 92 to close, clamping the wire through the wire hole. Subsequently, each moving mechanism works in coordination, driving the gripper mechanism 9 to move the wire to the wiring target point of connector 4. The servo motor 96 drives the clamping drive unit 93 to rotate, adjusting the wire angle and completing the wiring connection.

[0058] 5. Real-time Control and Monitoring Phase: During the wiring process, the AI ​​vision acquisition module tracks the wiring status in real time, while the digital twin data acquisition module collects displacement data of each moving mechanism, speed and angle data of the servo motor, and clamping pressure data in real time, and transmits them to the digital twin management and control platform. The platform maps the operating status of the physical equipment in real time through a virtual model. The AI ​​vision processing module analyzes wiring deviations, and the large model algorithm module automatically optimizes the motion parameters and clamping force parameters of each moving mechanism based on deviation data and historical wiring data. Adjustment commands are issued through the communication module to achieve closed-loop control. At the same time, the large model algorithm module performs trend analysis on the operating data to predict potential equipment failures.

[0059] 6. Operation Completion Stage: After the wiring is completed, the clamping mechanism 9 releases the wires, and each moving mechanism resets; the digital twin control platform records relevant data of this wiring, such as wiring time, deviation value, equipment operating parameters, etc., and updates the virtual model data to provide data support for subsequent operation optimization.

[0060] The above description is merely a preferred embodiment of the present invention and does not limit the scope of protection of the present invention. For those skilled in the art, the present invention can have various modifications and variations. Any changes, modifications, substitutions, integrations, and parameter alterations to these embodiments within the spirit and principles of the present invention, achieved through conventional substitutions or by achieving the same function without departing from the principles and spirit of the present invention, fall within the scope of protection of the present invention.

Claims

1. A digital twin automated wiring device based on the fusion of large model algorithm and AI vision algorithm, characterized in that: It includes an execution module, an AI vision acquisition module, a digital twin data acquisition module, a communication module, and a digital twin management and control platform (integrating a large model algorithm module and an AI vision processing module); The execution module includes a base (1), a clamping cylinder (2), a clamping plate (3), a connector (4), a housing (5), a column (6), an X-axis moving mechanism (7), a Y-axis moving mechanism (8), a clamping mechanism (9), and a Z-axis moving mechanism (10). The top of the base (1) is equipped with multiple clamping cylinders (2), the clamping plate (3) is installed on the telescopic end of the clamping cylinder (2), the housing (5) is placed on the top of the base (1) and clamped and fixed by the clamping plate (3), the connecting piece (4) is installed inside the housing (5); the column (6) is installed on the top of the base (1), the X-axis moving mechanism (7) is installed on the top of the column (6), the telescopic end of the X-axis moving mechanism (7) is fixedly connected to the Y-axis moving mechanism (8), the telescopic end of the Y-axis moving mechanism (8) is fixedly connected to the Z-axis moving mechanism (10), and the gripping mechanism (9) is installed on the telescopic end of the Z-axis moving mechanism (10); The clamping mechanism (9) includes clamping arms (92), clamping drive unit (93), connecting seat (94), drive gear (95), motor (96), and rotating gear (97). The clamping drive unit (93) is rotatably mounted below the connecting seat (94). There are two clamping arms (92), which are symmetrically slidably mounted on the bottom end of the clamping drive unit (93). A clamping hole (91) is provided in the middle of the opposite side of the clamping arm (92). The clamping hole (91) is semi-circular, and the two clamping holes (91) are combined to form a wire hole. The rotating gear (97) is mounted on the top end of the rotating shaft of the clamping drive unit (93). The motor (96) is mounted on the top end of the connecting seat (94). The drive gear (95) is mounted on the output end of the motor (96) and meshes with the rotating gear (97). The digital twin data acquisition module is electrically connected to the clamping cylinder (2), the X-axis moving mechanism (7), the Y-axis moving mechanism (8), the gripper mechanism (9), and the Z-axis moving mechanism (10) respectively, and is used to collect the operating status data of each component; The communication module is electrically connected to the digital twin data acquisition module, the AI ​​vision acquisition module, and the digital twin management platform, respectively, for data transmission and command interaction; the digital twin management platform integrates a large model algorithm module and an AI vision processing module, and constructs a virtual mapping model of the device based on the acquired data to realize visual guidance, data analysis, parameter optimization, and virtual-real collaborative control.

2. The digital twin automatic wiring device based on the fusion of large model algorithm and AI vision algorithm according to claim 1, characterized in that: The base (1) has four clamping cylinders (2) installed at its top, and the four clamping cylinders (2) are symmetrically distributed on both sides of the housing (5).

3. The digital twin automatic wiring device based on the fusion of large model algorithm and AI vision algorithm according to claim 1, characterized in that: The clamping plate (3) is provided with an elastic buffer layer on the side near the shell (5). The elastic buffer layer is made of rubber and has anti-slip texture on its surface.

4. The digital twin automatic wiring device based on the fusion of large model algorithm and AI vision algorithm according to claim 1, characterized in that: The X-axis moving mechanism (7) includes an X-axis linear guide rail, an X-axis slider and an X-axis drive motor. The X-axis linear guide rail is installed on the top of the column (6). The X-axis slider is slidably installed on the X-axis linear guide rail. The X-axis drive motor is connected to the X-axis slider in a transmission connection. The Y-axis moving mechanism (8) is fixedly connected to the X-axis slider.

5. The digital twin automatic wiring device based on the fusion of large model algorithm and AI vision algorithm according to claim 1, characterized in that: The structure of the Y-axis moving mechanism (8) is the same as that of the X-axis moving mechanism (7), and the moving direction of the Y-axis moving mechanism (8) is perpendicular to the moving direction of the X-axis moving mechanism (7).

6. The digital twin automatic wiring device based on the fusion of large model algorithm and AI vision algorithm according to claim 1, characterized in that: The Z-axis moving mechanism (10) includes a Z-axis cylinder and a Z-axis mounting base. The fixed end of the Z-axis cylinder is fixedly connected to the telescopic end of the Y-axis moving mechanism (8). The Z-axis mounting base is installed on the telescopic end of the Z-axis cylinder. The connecting seat (94) of the gripper mechanism (9) is fixedly connected to the Z-axis mounting base.

7. The digital twin automatic wiring device based on the fusion of large model algorithm and AI vision algorithm according to claim 1, characterized in that: The clamping drive unit (93) has two symmetrical sliding grooves at its bottom end, and the top ends of the two clamping arms (92) are respectively provided with sliding protrusions that are adapted to the sliding grooves. The clamping arms (92) slide along the clamping drive unit (93) through the cooperation of the sliding protrusions and the sliding grooves.

8. The digital twin automatic wiring device based on the fusion of large model algorithm and AI vision algorithm according to claim 1, characterized in that: The AI ​​vision acquisition module includes an industrial camera, a lens, a light source, and an image processor. The industrial camera is mounted on the top of the column (6) and on the Z-axis mounting base. The image processor is electrically connected to the industrial camera and is used for image preprocessing and feature recognition.

9. The digital twin automatic wiring device based on the fusion of large model algorithm and AI vision algorithm according to claim 1, characterized in that: The motor (96) is a servo motor, and an encoder is provided on the motor (96). The encoder is electrically connected to the digital twin data acquisition module and is used to acquire the motor's speed and angle data.

10. The digital twin automatic wiring device based on the fusion of large model algorithm and AI vision algorithm according to claim 1, characterized in that: The digital twin data acquisition module includes a pressure sensor and a displacement sensor. The pressure sensor is installed inside the clamping plate (3) and is used to collect the clamping pressure data of the clamping plate (3) on the housing (5). The displacement sensor is installed on the X-axis moving mechanism (7), Y-axis moving mechanism (8) and Z-axis moving mechanism (10) respectively and is used to collect the displacement data of each moving mechanism. The large model algorithm module can realize parameter self-optimization, fault prediction and diagnosis based on multi-source data. The AI ​​vision processing module can realize wire specification recognition, housing and connector positioning and visual tracking of the wiring process.

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