Industrial internet and digital twinning intelligent manufacturing experiment table

Abstract

The invention relates to an industrial internet and digital twin intelligent manufacturing experiment table, which comprises a material temporary storage table, a parallel robot, a material transportation mechanism, a carrying manipulator, a simulation processing unit, a mobile transmission trolley, a material storage unit, an electrical control system and an intelligent gateway data acquisition system, the electrical control system comprises a PLC (Programmable Logic Controller), and the PLC is connected with the parallel robot, the material transportation mechanism, the carrying manipulator, the simulation processing unit and the mobile transmission trolley through an I / O (Input / Output) module to realize motion control, time sequence scheduling and state monitoring of each execution mechanism; the intelligent gateway data acquisition system is in two-way communication with the PLC controller through an industrial communication protocol, and production data acquisition, control instruction forwarding and cloud collaboration are realized. Real-time monitoring and data analysis can be realized, production data can be visualized through a cloud platform, a user is assisted to quickly position faults, process parameters are optimized, and the production efficiency and the equipment comprehensive efficiency are improved.

Description

Technical Field

[0001] This invention relates to the technical field of intelligent manufacturing teaching, and in particular to an industrial internet and digital twin intelligent manufacturing experimental platform. Background Technology

[0002] With the rapid development of Industry 4.0 and smart manufacturing, traditional manufacturing is facing an urgent need for digital transformation. Currently, industrial automation systems typically rely on fixed-architecture networks and isolated control units, resulting in insufficient flexibility in equipment connectivity and low data interaction efficiency, making it difficult to meet the real-time, scalable, and collaborative requirements of modern smart manufacturing. Especially in workshop operation and maintenance scenarios, the heterogeneity of production equipment, the real-time nature of data acquisition, and the stability of industrial networks have become key factors restricting the improvement of production efficiency.

[0003] While existing industrial network technologies (such as fieldbus and industrial Ethernet) can achieve a certain degree of device interconnection, they often exhibit limitations when faced with massive device access, low-latency data transmission, and dynamic production adjustments. Furthermore, traditional operation and maintenance models rely on manual inspections and offline analysis, making it difficult to achieve real-time monitoring of equipment status and predictive maintenance, leading to increased risks of production downtime and persistently high operation and maintenance costs.

[0004] The proposed digital workshop operation and maintenance scenario aims to construct a highly reliable, low-latency intelligent network architecture by integrating next-generation information technologies such as the Industrial Internet and digital twins, enabling real-time synchronization of industrial data and flexible interconnection of production equipment. With the help of digital twin technology, the operating status of the physical workshop can be accurately mapped to a virtual space. Combined with big data analytics and artificial intelligence algorithms, this allows for optimized control and intelligent decision-making in the production process. Therefore, developing an intelligent manufacturing experimental platform integrating Industrial Internet and digital twin technologies is of great significance for promoting the digital upgrade of the manufacturing industry, verifying new industrial network architectures, and cultivating intelligent manufacturing talent. Summary of the Invention

[0005] Therefore, it is necessary to provide industrial internet and digital twin intelligent manufacturing experimental platforms to address the shortage of intelligent manufacturing education platforms.

[0006] To achieve the above objectives, the inventors have provided an industrial internet and digital twin intelligent manufacturing experimental platform, comprising: a platform, a material storage platform above the platform, a parallel robot, a material transport mechanism, a handling robot, a simulated processing unit, a mobile transport vehicle, and a material storage unit, and an electrical control system and an intelligent gateway data acquisition system located below the platform.

[0007] The material storage platform is located below the parallel robot and in front of the material transport mechanism. The handling robot is located between the material transport mechanism and the simulated processing unit, and the mobile transfer trolley is located between the material storage unit and the simulated processing unit.

[0008] The electrical control system includes a PLC controller, which is connected to the parallel robot, material handling mechanism, handling robot, simulated processing unit and mobile transmission trolley through I / O modules to realize motion control, timing scheduling and status monitoring of each actuator; the intelligent gateway data acquisition system communicates bidirectionally with the PLC controller through industrial communication protocol to realize production data acquisition, control command forwarding and cloud collaboration.

[0009] Furthermore, the parallel robot is supported on the platform by a support shaft. The parallel robot includes a static platform and a moving platform. The static platform is located at the upper end of the support shaft, and the moving platform is connected to the lower part of the static platform through a power component and a connecting arm.

[0010] Furthermore, the upper surface of the material storage platform is arrayed with multiple storage slots, which are used to place materials to be processed.

[0011] Furthermore, the material transport mechanism includes a conveyor belt, a sensor, and a conveyor motor. The conveyor motor transmits power to the conveyor belt, and the sensor is installed on the conveyor belt to detect the material transport status on the conveyor belt.

[0012] Furthermore, the simulated machining unit includes a pneumatic exchange worktable and a simulated machining spindle head, the simulated machining spindle head being located above the pneumatic exchange worktable.

[0013] Furthermore, it also includes a visual inspection mechanism, which includes an inspection frame and an image acquisition device, the image acquisition device being suspended above the inspection frame, and the image acquisition device being a Hikvision infrared camera.

[0014] Furthermore, the mobile transmission vehicle is an AGV (Automated Guided Vehicle).

[0015] Furthermore, the material storage unit also includes an automated stacker crane and a three-dimensional rack, with the automated stacker crane located between the end of the track of the mobile transfer trolley and the three-dimensional rack.

[0016] Furthermore, it also includes a digital information LCD screen suspended above the tabletop, which is used to display the operating status and basic data information of each module in the device in real time.

[0017] Furthermore, the handling robot is a serial handling robot.

[0018] Unlike existing technologies, the above technical solution has the following advantages: The Industrial Internet and Digital Twin Intelligent Manufacturing Experimental Platform of this application features a highly integrated and modular design. Through unified PLC control of multiple mechanisms working collaboratively, it achieves full-process automation from material sorting, transportation, processing to storage, providing a physical experimental platform for Industrial Internet applications. Digital twins and cloud-based collaborative processing are achieved, with intelligent gateways collecting equipment data in real time and uploading it to the cloud, supporting the construction of digital twin models, realizing virtual-real mapping, remote monitoring, and predictive maintenance. It has flexible teaching and R&D value, simulating real factory scenarios, suitable for teaching courses such as intelligent manufacturing, industrial robots, and digital twins, or providing a verification environment for algorithm optimization (such as scheduling strategies and energy management). It possesses low cost and high scalability, adopting standardized communication protocols and a modular structure, facilitating the addition of new equipment (such as 3D vision inspection) or integration with MES / ERP systems, adapting to different industrial scenario needs. It enables real-time monitoring and data analysis, visualizing production data through a cloud platform, assisting users in quickly locating faults, optimizing process parameters, and improving production efficiency and overall equipment efficiency. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the overall structure of the Industrial Internet and Digital Twin Intelligent Manufacturing Experimental Platform in this embodiment;

[0020] Figure 2 This is a schematic diagram of the material storage platform in this embodiment;

[0021] Figure 3 This is a schematic diagram of the parallel robot in this embodiment;

[0022] Figure 4 This is a schematic diagram of the material transport mechanism in this embodiment;

[0023] Figure 5 This is a schematic diagram of the simulated processing unit in this embodiment;

[0024] Figure 6 This is a schematic diagram of the visual inspection mechanism in this embodiment.

[0025] Explanation of reference numerals in the attached figures:

[0026] 1. Countertop;

[0027] 11. Material storage station;

[0028] 111. Storage tray;

[0029] 12. Parallel robots;

[0030] 121. Support shaft;

[0031] 122. Static platform;

[0032] 123. Dynamic platform;

[0033] 124. Connecting arm;

[0034] 13. Material transport mechanism;

[0035] 131. Conveyor belt;

[0036] 14. Handling robot;

[0037] 15. Simulated machining unit;

[0038] 151. Pneumatic exchange workbench

[0039] 152. Simulate machining of spindle head

[0040] 16. Mobile transport vehicle;

[0041] 17. Material storage unit;

[0042] 171. Automatic stacker crane;

[0043] 172. Automated shelving;

[0044] 20. Visual inspection agencies;

[0045] 201. Testing frame;

[0046] 202. Image acquisition equipment;

[0047] 21. Digital information LCD display screen. Detailed Implementation

[0048] In order to explain in detail the possible application scenarios, technical principles, specific solutions that can be implemented, and the purpose and effects of this application, the following is a detailed description of the specific embodiments listed in conjunction with the accompanying drawings. The embodiments described herein are only used to more clearly illustrate the technical solutions of this application and are therefore only examples and are not intended to limit the scope of protection of this application.

[0049] In this document, the term "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The term "embodiment" appearing in various places throughout the specification does not necessarily refer to the same embodiment, nor does it specifically limit its independence or connection with other embodiments. In principle, in this application, as long as there are no technical contradictions or conflicts, the technical features mentioned in each embodiment can be combined in any way to form corresponding implementable technical solutions.

[0050] Unless otherwise defined, the technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the use of related terms herein is merely for the purpose of describing particular embodiments and is not intended to limit this application.

[0051] In the description of this application, the term "and / or" is used to describe the logical relationship between objects, indicating that three relationships can exist. For example, A and / or B means: A exists, B exists, and A and B exist simultaneously. Additionally, the character " / " in this document generally indicates that the preceding and following objects have an "or" logical relationship.

[0052] In this application, 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 actual quantity, hierarchy or order relationship between these entities or operations.

[0053] Without further limitations, the use of terms such as “comprising,” “including,” “having,” or other similar open-ended expressions in this application is intended to cover non-exclusive inclusion, which does not exclude the presence of additional elements in a process, method, or product that includes the stated elements, such that a process, method, or product that includes a list of elements may include not only those defined elements but also other elements not expressly listed, or elements inherent to such a process, method, or product.

[0054] Similar to the understanding in the Examination Guidelines, in this application, expressions such as "greater than," "less than," and "exceeding" are understood to exclude the stated number; expressions such as "above," "below," and "within" are understood to include the stated number. Furthermore, in the description of the embodiments in this application, "multiple" means two or more (including two), and similar expressions related to "multiple" are also understood in this way, such as "multiple groups" and "multiple times," unless otherwise explicitly specified.

[0055] In the description of the embodiments of this application, the space-related expressions used, such as "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "vertical," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential," indicate the orientation or positional relationship based on the orientation or positional relationship shown in the specific embodiments or drawings. They are only for the purpose of describing the specific embodiments of this application or for the reader's understanding, and do not indicate or imply that the device or component referred to must have a specific position, a specific orientation, or be constructed or operated in a specific orientation. Therefore, they should not be construed as limitations on the embodiments of this application.

[0056] Unless otherwise expressly specified or limited, the terms "installation," "connection," "linking," "fixing," and "setting," as used in the description of the embodiments of this application, should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral arrangement; it can be a direct connection or an indirect connection through an intermediate medium; it can be a relationship of two components combined together, an interaction relationship between two components, or a connection within two structures. Those skilled in the art to which this application pertains can understand the specific meaning of the above terms in the embodiments of this application according to the specific circumstances.

[0057] Please see Figures 1-6 This embodiment of the Industrial Internet and Digital Twin Intelligent Manufacturing Experimental Platform includes: a platform 1, a material storage platform 11 located above the platform 1, a parallel robot 12, a material transport mechanism 13, a handling robot 14, a simulated processing unit 15, a mobile transport trolley 16, and a material storage unit 17, and an electrical control system and an intelligent gateway data acquisition system located below the platform 1.

[0058] The material storage platform 11 is located below the parallel robot 12, the material storage platform 11 is located in front of the material transport mechanism 13, the handling robot 14 is located between the material transport mechanism 13 and the simulated processing unit 15, and the mobile transmission trolley 16 is located between the material storage unit 17 and the simulated processing unit 15.

[0059] The electrical control system includes a PLC controller, which is connected to the parallel robot 12, material transport mechanism 13, handling robot 14, simulated processing unit 15 and mobile transmission trolley 16 through I / O modules to realize motion control, timing scheduling and status monitoring of each actuator; the intelligent gateway data acquisition system communicates bidirectionally with the PLC controller through industrial communication protocol to realize production data acquisition, control command forwarding and cloud collaboration.

[0060] The material storage platform 11 is used to temporarily store materials to be processed, located below the parallel robot 12 and in front of the material transport mechanism 13. The parallel robot 12 is responsible for the rapid sorting and precise positioning of materials. The material transport mechanism 13 (such as a conveyor belt 131 or a linear module) transports materials from the storage platform to the processing area. The handling robot 14 (such as a SCARA or a six-axis robotic arm) connects the material transport mechanism 13 and the simulated processing unit 15 to complete the material transfer. The simulated processing unit 15 simulates processing procedures in real production (such as drilling, inspection, etc.). The mobile transfer vehicle 16 (AGV / RGV) automatically transfers finished / semi-finished products between the material storage unit 17 and the processing unit. The material storage unit 17 stores raw materials or finished products in categories, supporting intelligent warehouse management.

[0061] The core of the electrical control system is the PLC controller, which connects to all actuators (parallel robot 12, transport mechanism, manipulator, etc.) through I / O modules to achieve motion control, timing scheduling, and real-time status monitoring. The intelligent gateway data acquisition system communicates bidirectionally with the PLC through industrial communication protocols (such as Modbus, OPC UA, PROFINET) to collect production data (such as equipment status and processing parameters) and forwards control commands to the cloud platform, supporting digital twin collaboration.

[0062] This application presents an industrial internet and digital twin intelligent manufacturing experimental platform with a highly integrated and modular design. Through unified PLC control, it enables collaborative operation of multiple mechanisms, achieving full-process automation from material sorting, transportation, processing to storage, providing a physical experimental platform for industrial internet applications. Digital twins and cloud-based collaborative processing are implemented, with intelligent gateways collecting equipment data in real time and uploading it to the cloud. This supports the construction of digital twin models, enabling virtual-physical mapping, remote monitoring, and predictive maintenance. It offers flexible teaching and research value, simulating real factory scenarios and suitable for teaching courses such as intelligent manufacturing, industrial robots, and digital twins, or providing a verification environment for algorithm optimization (such as scheduling strategies and energy management). It features low cost and high scalability, employing standardized communication protocols and a modular structure, facilitating the addition of new equipment (such as 3D vision inspection) or integration with MES / ERP systems, adapting to different industrial scenario needs. It enables real-time monitoring and data analysis, visualizing production data through a cloud platform to help users quickly locate faults, optimize process parameters, and improve production efficiency and overall equipment efficiency.

[0063] The workflow of the Industrial Internet and Digital Twin Intelligent Manufacturing Experimental Platform in this embodiment includes: manual loading → material storage platform 11 → parallel robot 12 → transmission line → handling robot 14 → simulated processing unit 15 → handling robot 14 → visual inspection → handling robot 14 → mobile transmission trolley 16 → material storage unit 17 → automatic stacker crane 171 → warehousing (three-dimensional rack 172).

[0064] In some embodiments, the parallel robot 12 is supported on the platform 1 by a support shaft 121. The parallel robot 12 includes a static platform 122 and a moving platform 123. The static platform 122 is located at the upper end of the support shaft 121, and the moving platform 123 is connected to the lower part of the static platform 122 through a power component and a connecting arm 124. The parallel robot 12 is used for material gripping, picking up materials from the temporary storage table and placing them into the conveyor line. In this embodiment, the parallel robot 12 adopts a 3-DOF Delta configuration and specifically includes the following components: Support shaft 121: vertically fixed to the experimental platform 1, made of high-strength aluminum alloy, with a hidden internal wiring design (motor power supply, encoder signal) to ensure a clean appearance and anti-interference. Static platform 122: mounted on the top of the support shaft 121, a circular or triangular rigid platform, with a built-in harmonic reduction motor (such as a 100W servo motor), and the motor output shaft is fixed to the drive end of the connecting arm 124 through a coupling. Moving platform 123: Located below the stationary platform 122, it is hinged to the stationary platform 122 via three symmetrically distributed connecting arms 124. The stationary platform 122 and the connecting arms 124 are covered with a semi-transparent acrylic protective cover, allowing for direct observation of the internal transmission structure, which is suitable for demonstrations in kinematics courses.

[0065] In some embodiments, the upper surface of the material storage platform 11 is arrayed with multiple storage slots 111 for placing materials to be processed. The platform surface 1 of the material storage platform 11 is made of anodized aluminum alloy, which is wear-resistant and anti-static, preventing the adsorption of precision materials (such as electronic components). Silicone cushioning pads are attached to the inner walls of the storage slots 111 to prevent scratches during material handling. Each storage slot 111 has an embedded RFID tag (such as a 13.56MHz passive tag) for binding material information (such as model and processing technology). The end effector of the handling robot 14 integrates an RFID reader / writer, which scans the tag before grabbing the material. The PLC verifies whether the material type matches the processing procedure to avoid incorrect material feeding. When material is removed from a storage slot 111, the PLC dynamically adjusts the priority of the remaining materials based on real-time order data from the cloud-based digital twin system (e.g., prioritizing the processing of slots corresponding to urgent work orders).

[0066] In some embodiments, the material transport mechanism 13 includes a conveyor belt 131, sensors, and a conveyor motor. The conveyor motor is connected to the conveyor belt 131 to transmit power. The sensors are mounted on the conveyor belt 131 to detect the material transport status. Specifically, the material transport mechanism 13 includes a photoelectric beam sensor, a color recognition sensor, and a pressure sensor. The photoelectric beam sensor is located at the inlet / outlet of the conveyor belt 131 to detect material entry and exit, trigger a counter, and record the cycle time. The color recognition sensor is located in the middle section of the conveyor belt 131 to distinguish material types (e.g., red / blue plastic parts), and the signal is fed back to the PLC for distribution to different processing units. The pressure sensor is located below the conveyor belt 131 to monitor the load weight; if the load is overloaded (≥5kg), the machine automatically stops and alarms.

[0067] In some embodiments, the simulated machining unit 15 includes a pneumatic exchange worktable and a simulated machining spindle head, the latter located above the pneumatic exchange worktable. The simulated machining process is implemented, and data information is fed back through this process. In this embodiment, the simulated machining unit 15 adopts a modular pneumatic exchange worktable + multi-functional spindle head design, specifically including the following components: Pneumatic exchange worktable, dual-station rotary table: made of high-strength aluminum alloy, 300mm in diameter, enabling rapid switching between two stations (A / B) via a pneumatic servo rotary table (90° indexing) (switching time ≤ 0.5 seconds); Pneumatic clamping mechanism: each station is equipped with 3 self-locking pneumatic clamps (clamping force adjustable from 0 to 200N), adaptable to workpieces of different shapes (such as square / circular substrates); Simulated machining spindle head, multi-tool quick-change system: the spindle head uses an HSK-25 tool holder interface, allowing for quick replacement of functional modules (such as drilling motors, laser marking heads, 3D printing nozzles). The force feedback system features a built-in six-dimensional force sensor in the spindle that monitors machining resistance in real time (such as increased torque due to drill bit dulling), and the data is uploaded to a digital twin platform. The worktable side panels are made of tempered glass, allowing observation of the airflow and transmission structure.

[0068] In some embodiments, a visual inspection mechanism 20 is also included. This mechanism includes an inspection frame 201 and an image acquisition device 202, which is suspended above the inspection frame 201 and is a Hikvision infrared camera. When material enters the field of view, the PLC triggers the camera to take a picture. The image is processed by an edge computing gateway (with a built-in NVIDIA Jetson Nano). Based on a deep learning model (such as YOLOv5), defects such as surface scratches and dimensional deviations are detected, and the results are fed back to the PLC. Qualified products continue to circulate, while unqualified products are removed by a robotic arm and placed in a waste bin. Simultaneously, the MES system records the defect type and location. When 10 consecutive workpieces are defect-free, the system automatically reduces the inspection frequency (e.g., inspecting once every 3 pieces) to increase throughput.

[0069] In some embodiments, the mobile transport vehicle 16 is an AGV (Automated Guided Vehicle). This embodiment uses an AGV as the mobile transport vehicle 16, which offers significant advantages over traditional RGVs (rail-mounted vehicles) or manual handling: Trackless navigation: Supports magnetic strip / QR code / SLAM laser navigation; the path can be adjusted via software at any time without modifying the physical environment (such as laying tracks), adapting to frequent production line reconfiguration needs. Dynamic obstacle avoidance: Equipped with lidar and ultrasonic sensors, it detects obstacles (such as personnel and fallen materials) in real time, automatically stopping or detouring to ensure safe operation. Centralized cloud management: Multiple AGVs are scheduled through a WMS (Warehouse Management System) or Fleet Management System, optimizing task allocation (such as dispatching vehicles from the nearest location, load balancing), reducing idle time, and improving overall efficiency by more than 30%. Digital twin integration: The AGV's real-time location, battery level, and task status are synchronized to the digital twin platform, achieving virtual-real synchronous monitoring and path simulation optimization.

[0070] In some embodiments, the material storage unit 17 further includes an automated stacker crane 171 and an automated storage and retrieval system (AS / RS) 172, with the automated stacker crane 171 located between the end of the track of the mobile transport trolley 16 and the AS / RS 172. Compared to traditional planar warehousing, this improves the utilization rate of limited countertop space, facilitating practical training and demonstrating the "first-in, first-out" (FIFO) management process of automated warehousing. Digital twin verification simulates the throughput changes after adding shelves in a virtual environment.

[0071] In some embodiments, a digital information LCD screen 21 suspended above the table 1 is also included. The digital information LCD screen 21 is used to display the real-time operating status and basic data information of each module in the device. Real-time monitoring and visual feedback allow teachers to explain the PLC control logic and sensor data correlation through the large screen. When switching to guest mode, animations showcasing the system's working principles and innovative features are played in a loop. The introduction of the digital LCD screen transforms traditional "black box" industrial equipment into a transparent, interactive intelligent terminal, meeting the intuitive needs of teaching scenarios and providing real-time decision support for industrial scenarios. Its open interface can also be extended to connect to MES / ERP systems, achieving broader data integration.

[0072] In this application, the digital twin system is developed using the UNITY-3D platform and has a physical model that is exactly the same as the physical object. Through rendering processing of light and shadow effects, it presents 3D virtual features that are basically consistent with the site. The digital twin system can perform panoramic device roaming viewing and system structure cognition through keyboard and mouse operations. The digital twin system communicates and controls in real time through Ethernet communication to achieve control of the simulation model and low-latency data synchronization. The actions of each key actuator in the digital twin system can be virtually presented in the digital twin system to achieve linkage control with the actions of real devices, which can be realized through the virtual operation panel in the digital twin system.

[0073] Finally, it should be noted that although the above embodiments have been described in the text and drawings of the specification of this application, the patent protection scope of this application cannot be limited thereby. Any technical solutions generated by equivalent structure or equivalent process substitution or modification using the content recorded in the text and drawings of the specification of this application based on the essential concept of this application, as well as those directly or indirectly implementing the technical solutions of the above embodiments in other related technical fields, are all included in the patent protection scope of this application.

Claims

1. An industrial internet and digital twin intelligent manufacturing experimental platform, characterized in that, include: The system includes a work surface, a material storage platform above the work surface, parallel robots, a material transport mechanism, a handling robot, a simulated processing unit, a mobile transport vehicle, and a material storage unit, as well as an electrical control system and an intelligent gateway data acquisition system located below the work surface. The material storage platform is located below the parallel robot and in front of the material transport mechanism. The handling robot is located between the material transport mechanism and the simulated processing unit, and the mobile transfer trolley is located between the material storage unit and the simulated processing unit. The electrical control system includes a PLC controller, which is connected to the parallel robot, material handling mechanism, handling robot, simulated processing unit and mobile transmission trolley through I / O modules to realize motion control, timing scheduling and status monitoring of each actuator; the intelligent gateway data acquisition system communicates bidirectionally with the PLC controller through industrial communication protocol to realize production data acquisition, control command forwarding and cloud collaboration.

2. The Industrial Internet and Digital Twin Intelligent Manufacturing Experimental Platform according to claim 1, characterized in that: The parallel robot is supported on the platform by a support shaft. The parallel robot includes a static platform and a moving platform. The static platform is located at the upper end of the support shaft, and the moving platform is connected to the lower part of the static platform through a power component and a connecting arm.

3. The Industrial Internet and Digital Twin Intelligent Manufacturing Experimental Platform according to claim 1, characterized in that: The upper surface of the material storage platform is provided with multiple storage slots, which are used to place materials to be processed.

4. The Industrial Internet and Digital Twin Intelligent Manufacturing Experimental Platform according to claim 1, characterized in that: The material transport mechanism includes a conveyor belt, sensors, and a conveyor motor. The conveyor motor transmits power to the conveyor belt, and the sensors are installed on the conveyor belt to detect the material transport status on the conveyor belt.

5. The Industrial Internet and Digital Twin Intelligent Manufacturing Experimental Platform according to claim 1, characterized in that: The simulated machining unit includes a pneumatic exchange worktable and a simulated machining spindle head, with the simulated machining spindle head located above the pneumatic exchange worktable.

6. The Industrial Internet and Digital Twin Intelligent Manufacturing Experimental Platform according to claim 1, characterized in that: It also includes a visual inspection mechanism, which includes an inspection frame and an image acquisition device. The image acquisition device is suspended above the inspection frame and is a Hikvision infrared camera.

7. The Industrial Internet and Digital Twin Intelligent Manufacturing Experimental Platform according to claim 1, characterized in that: The mobile transport vehicle is an AGV (Automated Guided Vehicle).

8. The Industrial Internet and Digital Twin Intelligent Manufacturing Experimental Platform according to claim 1, characterized in that: The material storage unit also includes an automated stacker crane and a three-dimensional rack, with the automated stacker crane located between the end of the track of the mobile transfer trolley and the three-dimensional rack.

9. The Industrial Internet and Digital Twin Intelligent Manufacturing Experimental Platform according to claim 1, characterized in that: It also includes a digital information LCD screen suspended above the tabletop, which is used to display the operating status and basic data information of each module in the device in real time.

10. The Industrial Internet and Digital Twin Intelligent Manufacturing Experimental Platform according to claim 1, characterized in that: The handling robot is a serial handling robot.

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