煤矿智能采煤工作面协同控制系统设计与实现

Key Points

• This research aims to develop a collaborative control system to enhance safety and efficiency in coal mining operations.
• Developed a distributed collaborative control architecture based on multi-source information fusion.
• Integrated various sensor data including inertial navigation, laser radar, and infrared thermal imaging.
• Implemented a collaborative control algorithm triggered by events to achieve dynamic adaptation of key mining equipment.
• Achieved real-time decision-making at the edge with improved resource utilization and safety.
• Demonstrated enhanced coordination among coal mining machinery through the proposed system.
• Created a high-precision digital twin model that optimizes global scheduling strategies.