The intelligent loading automation system collaborates with sensors, control algorithms, and actuators to achieve automatic identification, path planning, and precise loading of goods.
1. Core component modules
Perception layer: Using 3D visual cameras (such as Keyence CV-X series) and LiDAR (SICK TiM series) to detect the size/position of goods (with an error of ± 1mm)
Decision making layer: Motion control algorithm (TSP algorithm optimized loading path)+PLC (Siemens S7-1500 series, response time ≤ 2ms)
• Execution layer: Six axis robotic arm (Fanuc M-20iD, repeat positioning accuracy ± 0.02mm)+conveyor belt (German Beijiale, adjustable speed 0.1-2m/s)
2. Workflow
① Visual system scans goods to generate 3D point cloud
② System calculation of optimal loading plan (considering center of gravity/space utilization)
③ The robotic arm grabs according to the planned path (vacuum suction cup/electromagnetic fixture)
④ Real time force feedback adjustment of placement posture (monitored by Omron E6C2 encoder)
3. Key technical parameters
|Indicator | Parameter Range|
|---------------|--------------------------|
|Processing speed | 300-800 pieces/hour|
|Positioning accuracy | ± 0.5mm (ISO 9283 standard)|
|Maximum load | 50kg (determined by the specifications of the robotic arm)|
|System energy consumption | 15-25kW (including all subsystems)|
4. Security mechanism
-Emergency stop button (compliant with IEC 60204-1 standard)
-Regional grating protection (Shike C4000 series)
-Collision detection (threshold setting for six axis force sensor)
Note: According to the "Case Collection of Intelligent Manufacturing Scenarios" by the Ministry of Industry and Information Technology in 2023, this technology can increase loading efficiency by 40% and reduce labor costs by 60%. Physical isolation barriers should be installed in hazardous operation areas.
