DLIM-853 Intelligent Manufacturing Engineering Technology Application Training Platform

The Smart manufacturing training equipment is composed of data management center, network management unit, intelligent warehousing unit , assembly and inspection unit , robot handling unit, and  CNC simulation unit 

Process flow

(1) Data Management Center: MES software, digital twin software and cloud platform are deployed to realize order management, equipment management, production management, virtual simulation, data cloud maintenance, etc.

(2) Network management unit: It has the function of master control system and realizes uploading and downloading of all platform data.

(3) Intelligent storage unit: After receiving the order command, the three-axis linear robot takes the pallet containing the base blank from the three-dimensional warehouse and places it on the RFID read-write position of conveyor belt module 1. The RFID reader writes the order information into the chip and transmits the material with the information written to the next unit. At the same time, the warehouse inventory can be completed. The three-axis linear robot takes the pallet containing the base blank from the three-dimensional warehouse and places it on the RFID read -write position. The three-axis linear robot completes the warehouse inventory according to the internal information of the RFID chip .

(4) Robot handling unit: The industrial robot takes the tray containing the base blank from the previous station and places it on the RFID read -write position. The RFID reads the chip order information. The industrial robot takes the base blank from the tray and places it in the chuck of the CNC simulation unit. The industrial robot takes out the processed base and places it on the RFID read -write position tray. At the same time, when multiple orders are placed in the warehouse, the current order is placed on the RFID read -write position, and the subsequent orders are placed in the buffer area waiting for processing.

(5) Assembly inspection unit: After the detection position sensor detects that the base is processed, the stop cylinder extends out of the conveyor belt to stop. The industrial camera follows the four-axis robot to identify the shape, angle and color of the base. The four-axis robot goes to the assembly material area according to the processed shape to pick up the material core and assemble it to the base. After the assembly is completed, the finished material is transferred to the intelligent storage unit.

(6) CNC simulation unit: The CNC simulation unit completes the simulation processing of the base blank transported by the industrial robot according to the order information.

(7) The assembled finished products are placed in the corresponding numbered storage location by the three-axis linear robot according to the order requirements.

-Industrial Internet Network Technology Experiment Training

1. Industrial intrusion prevention system configuration;

2. Ring network three-layer network management industrial switch configuration ;

3. Modbus RTU communication application ;

4. Modbus TCP communication application ;

5. TCP communication (open user communication) application ;

6. Profinet communication application ;

7. S7 communication application ;

8. OPC UA communication application .

Intelligent Manufacturing Control Technology Experiment Training

1. Practical training on reading electrical drawings ;

2. Gas circuit connection and electrical wiring ;

3. PLC installation and wiring ;

4. Installation and application of touch screen ;

5. PLC programming and debugging ;

6. Servo control system configuration and application ;

7. Stepper control system configuration and application ;

8. Frequency conversion control system setting and application ;

9. Sensor debugging and application ;

10. Touch screen programming and debugging.

Industrial Digital Twin Technology Experiment Training

1. Product design and modeling ;

2. Import and assemble 3D models ;

3. Creation of basic electromechanical objects of 3D models ;

3. Common kinematic pair settings and applications of 3D models ;

4. Common sensor signals and signal adapter applications for 3D models ;

5. Virtual simulation operation and debugging ;

6. Virtual and real linkage operation and debugging .

Industrial data collection and identification analysis Experiment Training

1. RFID wireless radio frequency configuration and application;

2. QR code/barcode recognition and analysis configuration and application;

3.Industrial visual acquisition programming and application ;

4. Environmental data collection configuration and application ;

5. Energy consumption data collection configuration and application .

Industrial Internet Platform Application Experiment Training

1. MES system awareness ;

2. Basic operations of MES ;

3. MES and PLC communication programming and application ;

4. MES data visualization programming and application ;

3. Data collection configuration and application of edge computing platform ;

4. Edge computing platform data processing configuration and application ;

5. Edge computing platform cloud-edge collaborative application ;

6. Edge computing platform equipment management configuration and application ;

7. Data visualization configuration and application of edge computing platform .

Robotics Experiment Training

1. Robot installation and debugging ;

2. Installation and application of robot end tools ;

3. Robot programming and instruction application ;

4. Robot fault diagnosis and maintenance ;

5. Robot and PLC communication configuration and application .

CNC machine tool platform application Experiment Training

1. Programming and operation of CNC machining centers ;

2. CNC machining simulation programming and debugging;

3. Optimization of CNC machining technology .