Multifunctional integrated intelligent manufacturing teaching platform
By integrating training components and a multi-layered architecture, the intelligent manufacturing teaching platform solves the problems of limited functionality and modularity of traditional platforms, and achieves simulation of the entire intelligent manufacturing process and improves teaching effectiveness.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- QINGDAO HAIZHICHEN IND EQUIP
- Filing Date
- 2025-05-19
- Publication Date
- 2026-05-29
AI Technical Summary
Traditional training platforms have limited functionality, making it difficult to simulate real industrial scenarios. Furthermore, their large size and lack of modularity restrict the flexibility of teaching and the integration of safety technologies.
Design a multifunctional integrated intelligent manufacturing teaching platform that integrates training components such as an automated warehouse module, an inbound and palletizing module, and a robotic arm unit module. It covers the three-layer architecture of the Industrial Internet, including PLC control, machine vision, edge computing, and ROS robot system. It supports multiple communication protocols and interconnection with controllers, integrates IoT and big data analysis, and provides high-precision data acquisition and security management.
It enables the simulation of the entire intelligent manufacturing process, improves the effectiveness and efficiency of practical training, solves the problems of limited functionality and modularity of traditional platforms, and enhances the flexibility and security of teaching.
Smart Images
Figure CN224304259U_ABST
Abstract
Description
Technical Field
[0001] This utility model belongs to the field of training equipment technology, and specifically relates to a multi-functional integrated intelligent manufacturing teaching platform. Background Technology
[0002] As China's manufacturing industry shifts from high-speed growth to high-quality development, intelligent manufacturing has become the core path for industrial upgrading. The deep integration of technologies such as the Industrial Internet, artificial intelligence, and the Internet of Things into traditional manufacturing is driving production processes towards greater flexibility, intelligence, and integration. For example, the widespread application of industrial robots and intelligent robotic arms has created a demand for multi-skilled technical personnel, highlighting a disconnect between teaching and practice. Traditional teaching often remains theoretical, leaving students lacking hands-on experience with the entire intelligent manufacturing production line. Existing training platforms are often functionally limited, failing to simulate real industrial scenarios such as collaborative operations in material sorting, assembly, and quality inspection. Furthermore, traditional platforms are bulky and lack modularity, restricting teaching flexibility and the integration of safety technologies. Therefore, we aim to design a teaching platform with a novel structure to address this issue. Utility Model Content
[0003] In view of the shortcomings of the existing technology, the purpose of this utility model is to provide a multifunctional integrated intelligent manufacturing teaching platform to solve the problems mentioned in the background technology.
[0004] This utility model is achieved through the following technical solution: a multi-functional integrated intelligent manufacturing teaching platform, comprising: a platform body, wherein a multi-functional training component for practical training is provided on the upper side of the platform body, the platform body includes a frame for installing the training component, and an operation screen for operation is installed on the left side of the front end of the frame;
[0005] The training components include an automated storage and retrieval module and a palletizing module. A flexible feeding module for simulating visual recognition material feeding is installed on the upper left front side of the frame. An assembly module simulating CPU assembly is installed on the upper left front side of the frame. A visual dimension measurement module simulating industrial AI visual inspection is installed on the upper right front side of the frame. An automatic retrieval module simulating material retrieval reading and writing is installed on the upper right side of the frame. A robotic arm unit simulating modern robot operation is installed on the upper left rear side of the frame. An automatic tooling changing module is installed on the upper left rear side of the frame. In actual use, the training components also include an electrical control module for debugging visual and PLC interfaces, as well as controlling the overall program start and stop. Its operation screen uses an HMI device for human-machine interaction, supports multiple communication protocols (such as MODBUS, PROFINET, EtherNet / IP) for interconnection with PLCs or other controllers, provides graphical interface design tools for developing monitoring screens, and realizes data acquisition, display, alarm, and control functions. It also supports touchscreen operation and multi-language settings.
[0006] In a preferred embodiment, the platform body also includes a top plate, and the top plate for dust protection is fixed at the upper end of the frame. The operation screen is electrically connected to multiple modules in the training components via wires.
[0007] In a preferred embodiment, the assembly module is positioned to the right of the flexible feeding module and to the left of the visual size measurement module. The flexible feeding module is a visual recognition flexible vibratory feeder module, and the assembly module is a CPU assembly module.
[0008] In a preferred embodiment, the visual size measurement module is placed to the left of the automatic warehousing module. The visual size measurement module is an industrial AI visual inspection module, and the automatic warehousing module is an RFID material reading, writing, and sorting module. In actual use, each module of the training component is equipped with various sensors (such as photoelectric sensors, proximity switches, temperature sensors, pressure sensors, etc.) to collect physical quantities, integrates signal conditioning circuits to optimize signal quality, supports multiple communication protocols for interconnection with the controller, and helps to provide high-precision and high-reliability data acquisition capabilities to realize functions such as environmental monitoring, position detection, and status monitoring.
[0009] In a preferred embodiment, the robotic arm unit module is positioned directly behind the assembly module. An automatic tooling change module simulating various processing fixtures is located on the left side of the robotic arm unit module, and this automatic tooling change module is positioned directly behind the flexible feeding module. The robotic arm unit module is a 3D vision six-axis collaborative robot. In practical use, the training components include mechanical assembly, electrical connections, and software configuration. Professional tools are used for precision calibration and performance testing. Fault diagnosis technology is used to quickly locate and resolve equipment problems. An integrated predictive maintenance system enables equipment health management and provides standardized operating procedures and safety specifications.
[0010] In a preferred embodiment, the training component further includes a material platform module and a grinding module. A material platform module for supporting materials is located on the left side of the front end of the frame, and a grinding module for simulating brake disc grinding is located on the left side of the front end of the frame. The grinding module is a brake disc grinding detection module. In actual use, the training component uses software such as ERP (Enterprise Resource Planning) and MES (Manufacturing Execution System) to digitize business processes, integrates databases and data warehouses for data storage and analysis, applies cloud computing and edge computing to improve information processing capabilities, provides web and mobile access to support remote management, and implements information security mechanisms to ensure data security. Simultaneously, the training component uses digital twin technology to achieve virtual modeling of equipment and systems, integrates the Internet of Things (IoT) for data collection and transmission, applies big data analysis and artificial intelligence to optimize production processes, supports cloud platform deployment, enables remote monitoring and management, and provides a visual interface for real-time data analysis and decision support.
[0011] As a preferred embodiment, the training component also includes a reverse verification module. The reverse verification module for simulating grinding and testing of flywheel blades is fixed on the front side of the grinding module. The reverse verification module is a reverse testing module for aircraft engine blades. In actual use, the training component also adopts a 5G network, integrates edge computing (MEC) to realize local data processing and real-time response, uses network slicing technology to provide customized services for different scenarios, supports large-scale access and management of Internet of Things (IoT) devices, and provides an end-to-end security solution to ensure data transmission reliability.
[0012] In a preferred embodiment, the training components further include an automated storage and retrieval system (AS / RS) module and an inbound tray module. The inbound tray module is installed on the rear side of the upper end of the frame and is located directly to the right of the robotic arm unit module. The AS / RS module for module motion control and training in simulating an automated warehousing system in a modern factory is installed on the rear right side of the upper end of the frame.
[0013] After adopting the above technical solution, the beneficial effects of this utility model are as follows: 1. By setting up training components, the entire equipment includes PLC control, machine vision, edge computing, ROS robot system, etc., to cover the three-layer architecture of the Industrial Internet (equipment layer, platform layer, application layer). The platform can comprehensively simulate all aspects of intelligent manufacturing, thereby solving the problem that traditional teaching is mostly at the theoretical level and students lack practical experience in the entire process of intelligent manufacturing production lines. This allows students to understand a variety of modern production technologies on an integrated training platform, which helps to improve the effectiveness and efficiency of practical training.
[0014] 2. By integrating equipment modules from industrial robot technology, machine vision technology, 3D reverse measurement technology, programmable control technology, AI large model technology, artificial intelligence technology, flexible vibration technology, electronic and electrical engineering technology, intelligent sensing technology, and serial communication technology, and arranging them in an orderly manner, an integrated training platform is formed. This not only enhances the functionality of the training platform and makes its functions more diversified, but also solves the problems of traditional platforms being bulky and lacking modularity, which limit the flexibility of teaching and the integration of safety technologies. Attached Figure Description
[0015] To more clearly illustrate the technical solutions in the embodiments of this utility model 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 only some embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0016] Figure 1 This is a schematic diagram of the overall structure of a multifunctional integrated intelligent manufacturing teaching platform according to this utility model.
[0017] Figure 2 This is a schematic diagram of the training component structure of a multifunctional integrated intelligent manufacturing teaching platform according to this utility model.
[0018] In the diagram, 100 is the platform body, 101 is the rack, 102 is the control panel, and 103 is the top plate.
[0019] 200-Training Components, 201-Automatic Storage Module, 202-Inbound Palletizing Module, 203-Robot Unit Module, 204-Automatic Tooling Change Module, 205-Flexible Feeding Module, 206-Assembly Module, 207-Material Carrying Platform, 208-Grinding Module, 209-Reverse Verification Module, 2010-Visual Size Measurement Module, 2011-Automatic Inbound Module. Detailed Implementation
[0020] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.
[0021] As the first embodiment of this utility model:
[0022] Please see Figures 1 to 2 A multifunctional integrated intelligent manufacturing teaching platform includes: a platform body 100, a multifunctional training component 200 for practical training is provided on the upper side of the platform body 100, the platform body 100 includes a frame 101 for installing the training component 200, and an operation screen 102 for operation is installed on the left side of the front end of the frame 101.
[0023] The training component 200 includes an automated storage and retrieval system module 201 and an inbound tray module 202. A flexible feeding module 205 for simulating visual recognition feeding is installed on the upper left front side of the frame 101. An assembly module 206 simulating CPU assembly is installed on the upper left front side of the frame 101. A visual dimension measurement module 2010 simulating industrial AI visual inspection is installed on the upper right front side of the frame 101. An automatic inbound module 2011 for simulating material inbound reading and writing is installed on the upper right side of the frame 101. A robotic arm unit simulating modern robot operation is installed on the upper left rear side of the frame 101. The upper left rear side is equipped with an automatic tooling change module 204. In actual use, the training component 200 is also equipped with an electrical control module for debugging of visual and PLC interfaces, as well as overall program start and stop control. Its operation screen 102 uses an HMI device to realize human-machine interaction, supports multiple communication protocols (such as MODBUS, PROFINET, EtherNet / IP) to interconnect with PLC or other controllers, provides graphical interface design tools for developing monitoring screens, realizing data acquisition, display, alarm and control functions, and supports touch screen operation and multi-language settings.
[0024] The platform body 100 also includes a top plate 103. The top plate 103 for dust protection is fixed on the upper end of the frame 101. The operation screen 102 is electrically connected to multiple modules in the training component 200 through wires.
[0025] The assembly module 206 is located to the right of the flexible feeding module 205 and to the left of the visual size measurement module 2010. The flexible feeding module 205 is a visual recognition flexible vibratory feeder module, and the assembly module 206 is a CPU assembly module.
[0026] The visual size measurement module 2010 is located to the left of the automatic warehousing module 2011. The visual size measurement module 2010 is an industrial AI visual inspection module, and the automatic warehousing module 2011 is an RFID material reading, writing, and sorting module. In actual use, each module of the training component 200 is equipped with various sensors (such as photoelectric sensors, proximity switches, temperature sensors, pressure sensors, etc.) to collect physical quantities. The integrated signal conditioning circuit optimizes the signal quality and supports multiple communication protocols for interconnection with the controller, which helps to provide high-precision and high-reliability data acquisition capabilities and realize functions such as environmental monitoring, position detection, and status monitoring.
[0027] The robotic arm unit module 203 is located directly behind the assembly module 206. To the left of the robotic arm unit module 203 is an automatic tooling change module 204 that simulates various processing fixtures. The automatic tooling change module 204 is located directly behind the flexible feeding module 205. The robotic arm unit module 203 is a 3D vision six-axis collaborative robot. In actual use, the training component 200 includes mechanical assembly, electrical connection and software configuration. Professional tools are used for precision calibration and performance testing. Fault diagnosis technology is used to quickly locate and solve equipment problems. A predictive maintenance system is integrated to realize equipment health management and provide standardized operating procedures and safety specifications.
[0028] The training component 200 also includes a material platform module and a grinding module 208. A material platform module for supporting materials is located on the left front side of the frame 101, and a grinding module 208 for simulating brake disc grinding is located on the left front side of the frame 101. The grinding module 208 is a brake disc grinding detection module. In actual use, the training component 200 uses software such as ERP (Enterprise Resource Planning) and MES (Manufacturing Execution System) to digitize business processes, integrates databases and data warehouses for data storage and analysis, applies cloud computing and edge computing to improve information processing capabilities, provides web and mobile access to support remote management, and implements information security mechanisms to ensure data security. Simultaneously, the training component 200 uses digital twin technology to achieve virtual modeling of equipment and systems, integrates the Internet of Things (IoT) for data collection and transmission, applies big data analysis and artificial intelligence to optimize production processes, supports cloud platform deployment, enables remote monitoring and management, and provides a visual interface for real-time data analysis and decision support.
[0029] Specifically, by setting up 200 training components, the entire equipment includes PLC control, machine vision, edge computing, ROS robot system, etc., to cover the three-layer architecture of the Industrial Internet (equipment layer, platform layer, application layer). The training platform supports the integrated teaching of embedded systems and Internet of Things technology through open source hardware and software resources. By integrating various advanced manufacturing technologies such as industrial robot technology, machine vision technology, 3D reverse measurement technology, programmable control technology, AI large model technology, artificial intelligence technology, flexible vibration technology, electronic and electrical technology, intelligent sensing technology, serial communication technology, etc., the platform can comprehensively simulate all aspects of intelligent manufacturing, thereby solving the problem that traditional teaching often stays at the theoretical level and students lack practical experience in the entire process of intelligent manufacturing production lines, enabling students to have an integrated training platform.
[0030] As a second embodiment of this utility model:
[0031] The training component 200 also includes a reverse verification module 209. The reverse verification module 209, which is used for simulated grinding and testing of flywheel blades, is fixed on the front side of the grinding module 208. The reverse verification module 209 is a reverse testing module for aircraft engine blades. In actual use, the training component 200 also adopts a 5G network, integrates edge computing (MEC) to realize local data processing and real-time response, uses network slicing technology to provide customized services for different scenarios, supports large-scale access and management of Internet of Things (IoT) devices, and provides end-to-end security solutions to ensure data transmission reliability.
[0032] The training component 200 also includes an automated warehouse module 201 and an inbound tray module 202. The inbound tray module 202 is installed on the upper rear side of the frame 101 and is located on the right side of the robotic arm unit module 203. The automated warehouse module 201, which is used for module motion control and training in simulating the automated warehousing system of a modern factory, is installed on the upper right rear side of the frame 101.
[0033] Please see Figures 1 to 2 Based on the first embodiment described above, further, by integrating equipment modules of industrial robot technology, machine vision technology, 3D reverse measurement technology, programmable control technology, AI large model technology, artificial intelligence technology, flexible vibration technology, electronic and electrical technology, intelligent sensing technology, and serial communication technology together, and through orderly distribution and arrangement, an integrated training platform is formed. This not only improves the functionality of the training platform and makes its functions more diversified, but also solves the problem that the traditional platform is bulky and lacks modularity, which limits the flexibility of teaching and the integration of safety technologies.
[0034] The above description is only a preferred embodiment of the present utility model and is not intended to limit the present utility model. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present utility model should be included within the protection scope of the present utility model.
Claims
1. A multifunctional integrated intelligent manufacturing teaching platform, comprising: The platform body (100) is characterized in that a multi-functional training component (200) is provided on the upper side of the platform body (100), and the platform body (100) includes a frame (101) for installing the training component (200), and an operation screen (102) for operation is installed on the left side of the front end of the frame (101). The training component (200) includes a three-dimensional warehouse module (201) and a warehouse tray module (202). A flexible feeding module (205) for simulating visual recognition feeding is installed on the upper left front side of the frame (101). An assembly module (206) for simulating CPU assembly is installed on the upper left front side of the frame (101). A visual size measurement module (2010) for simulating industrial AI visual inspection is installed on the upper right front side of the frame (101). An automatic warehouse module (2011) for simulating material warehouse entry reading and writing records is installed on the upper right side of the frame (101). A robotic arm unit for simulating modern robot operation is installed on the upper left rear side of the frame (101). An automatic tooling changing module (204) is installed on the upper left rear side of the frame (101).
2. The multifunctional integrated intelligent manufacturing teaching platform as described in claim 1, characterized in that: The platform body (100) also includes a top plate (103). The top plate (103) for dust protection is fixed at the upper end of the frame (101). The operation screen (102) is electrically connected to multiple modules in the training component (200) through wires.
3. The multifunctional integrated intelligent manufacturing teaching platform as described in claim 1, characterized in that: The assembly module (206) is located to the right of the flexible feeding module (205) and to the left of the visual size measurement module (2010). The flexible feeding module (205) is a visual recognition flexible vibratory feeder module, and the assembly module (206) is a CPU assembly module.
4. The multifunctional integrated intelligent manufacturing teaching platform as described in claim 3, characterized in that: The visual size measurement module (2010) is located on the left side of the automatic warehousing module (2011). The visual size measurement module (2010) is an industrial AI visual inspection module, and the automatic warehousing module (2011) is an RFID material reading, writing, and sorting module.
5. The multifunctional integrated intelligent manufacturing teaching platform as described in claim 1, characterized in that: The assembly module (206) is provided with a robotic arm unit module (203) on its rear side. The robotic arm unit module (203) is provided with an automatic tooling change module (204) that simulates various processing fixtures on its left side. The automatic tooling change module (204) is located on the rear side of the flexible feeding module (205). The robotic arm unit module (203) is a 3D vision six-axis collaborative robot.
6. The multifunctional integrated intelligent manufacturing teaching platform as described in claim 1, characterized in that: The training component (200) also includes a material platform module and a grinding module (208). The left side of the front end of the frame (101) is provided with a material platform module for supporting materials. The left side of the front end of the frame (101) is provided with a grinding module (208) for simulating brake disc grinding. The grinding module (208) is a brake disc grinding detection module.
7. The multifunctional integrated intelligent manufacturing teaching platform as described in claim 6, characterized in that: The training component (200) also includes a reverse verification module (209). The grinding module (208) has a reverse verification module (209) fixed on its front side for performing simulated grinding and testing of flywheel blades. The reverse verification module (209) is a reverse testing module for aircraft engine blades.
8. The multifunctional integrated intelligent manufacturing teaching platform as described in claim 1, characterized in that: The training component (200) also includes an automated warehouse module (201) and an inbound tray module (202). The inbound tray module (202) is installed on the upper rear side of the frame (101). The inbound tray module (202) is located on the right side of the robot arm unit module (203). The automated warehouse module (201) for module motion control and training of automated warehousing system in a modern factory is installed on the upper right rear side of the frame (101).