矿井“一通三防”智能管控系统研究

Key Points

• This research aims to develop a smart control system to enhance safety management in deep mining operations.
• Designed an intelligent control system using IoT, big data, and AI technologies with a four-layer architecture.
• Implemented multi-source data fusion and intelligent monitoring techniques to assess disaster risks.
• Developed dynamic ventilation calculations and control technologies for rapid adjustments.
• Ventilation system can adjust airflow accurately within 5 seconds.
• Gas risk warnings are generated 10 minutes in advance.
• Dust and fire disaster response reduced to 3 seconds, improving disaster management efficacy.