Remote Control and Automation System for Loaders
Core System Architecture
Environmental Perception and Localization System
LiDAR: Performs real-time 3D imaging and scanning of cargo contours and stockpile shapes.
Visual system: multiple high-definition cameras, enabling container truck recognition and positioning of the grab and the cargo compartment.
Blind Spot Monitoring: 360° panoramic surveillance, with real-time detection of pedestrians and obstacles.
Remote Control and Assistance System
AR-assisted operation interface: augmented reality depth-of-field cues that address the challenge of 2D screen‑space perception.
Multi-mode control terminal: supports remote manual, semi-automatic, and fully automatic operating modes.
Intelligent Operation Control System
Automated arm control: achieving highly repeatable, high-precision motion automation.
Autonomous Path Planning: Supports path memory and optimization for typical operations such as cabin clearance, pallet re‑stacking, and loading.
Safety and Early Warning System
Personnel Collision Warning: Real-time monitoring of personnel activity within the operational radius.
Equipment condition monitoring: Real-time upload of key parameters such as vibration, temperature, and oil pressure.
Key Features
Support for multi-scenario operations
The entire Procedure, including cabin clearance, stacking, and loading, is performed remotely or automatically.
AR-assisted remote operation
Augmented reality overlays depth of field and task guidance, reducing operational complexity.
Autonomous Recognition and Localization
Automatically identifies container trucks, railcars, and cargo, enabling high-precision alignment.
Automation control of the working arm
Supports standardized operations such as one-click垛ing and automatic loading.
All‑round security monitoring
Comprehensive video coverage with no blind spots, coupled with real-time personnel detection, ensures human‑machine safety.
Seamless dual-mode switching
Remote manual and automatic operations can be switched in real time, adapting to complex operating conditions.
Performance Metrics
Positioning accuracy
Grab alignment ±5cm
Response latency
End-to-end latency ≤ 200 ms (in a 5G private network environment)
Recognition accuracy
Container truck/carriage recognition ≥ 99%, system availability ≥ 99.5%
Adapting to the environment
-25℃ to +55℃, IP65 protection
Adaptable to high-dust, high-humidity operating conditions
Continuous operation time ≥ 8 hours (Supports battery/hybrid power solutions)

