基于ai视频识别的煤矿安全隐患智能监测系统

Key Points

• The aim is to develop an intelligent monitoring system addressing dynamic hazard detection in coal mines.
• Developed an edge-cloud collaborative framework for real-time monitoring.
• Analyzed the spatiotemporal characteristics of dynamic hazards and their interrelationships.
• Integrated algorithms for dynamic target monitoring and environmental risk identification.
• Achieved millisecond-level response times through algorithm optimization.
• Overcame detection challenges under dust and lighting interference.
• Enabled precise hazard monitoring and tiered early warning systems.