Material Handling Automation Control System

An Intelligent monitoring and control system for material handling, based on AI visual recognition, laser profile analysis, and multi-sensor fusion, achieves all-round real-time perception of belt conveyor operating conditions, anomaly early warning, and autonomous inspection, thereby enhancing the safety and operational efficiency of the conveying system.

Core System Architecture
Intelligent Belt Conveyor Control System
Intelligent Foreign Object Monitoring: AI visual recognition algorithms and device interconnection control
Intelligent Material Blockage Monitoring and Adaptive Speed Regulation: Real-time traffic volume monitoring, a mathematical logic model for material‑blocking prediction, and closed-loop speed control.
Intelligent pipe conveyor morphology (twisted pipe/reverse wrap) monitoring: Visual form analysis algorithm, multi-level alarm linkage mechanism
Intelligent Roller Rubber Coating Condition Monitoring: AI image recognition and defect feature library comparison

Intelligent Belt Conveyor Inspection System
Data mid-end and digital twin operations and maintenance platform Rail-based inspection technology: integrates PTZ cameras, high-definition cameras, infrared thermal imagers, ultrasonic radars, and more.
Belt Surface Point‑Monitoring System: Specialized Optical‑Sensor Camera + Line Laser Profile Analysis
Data Fusion Analysis Platform: Digital Twin Visualization, Operations and Maintenance Diagnostics, and Report Generation

Key Features
Intelligent Control Side
Implement foreign-object detection and interlocked emergency stop; provide graded alarms and automatic shutdown for abnormal conveyor belt conditions.
Material blockage prevention and automatic speed control based on a throughput model; AI‑based defect detection for drum rubber coatings.

Intelligent Inspection Side
Through rail-based inspection technology, 24/7 autonomous inspections are achieved, integrating vision, infrared, and radar for equipment temperature measurement, positioning, and obstacle avoidance.
Fine diagnosis of surface defects such as belt corrosion and tears is achieved through a dedicated point-scanning unit.
All data is aggregated on the platform for visualization and health analysis.

Performance Metrics
Foreign object detection accuracy ≥ 98%
Material blockage early warning response time < 3 seconds
Adhesive coating defect detection accuracy at the millimeter level.
The inspection robot has a positioning accuracy of ±10 mm.
System availability: ≥99.5%
Adapting to the environment

-20℃ to +60℃, IP66-rated protection, dust‑ and vibration‑resistant.