Big Data Research and Application for Abnormal Gas Emission in Wudong Mine

This paper studies the influencing factors of gas emission anomalies and the realization process of early warning technology for gas emission anomaly by theoretical analysis and field measurement. According to the characteristics and laws of gas outburst in Wudong Mine, big data technology is used to study gas monitoring data. The early warning index system for gas outburst suitable for Wudong Mine is studied, and the data model of gas emission anomaly in Wudong Mine is established. The real-time intelligent warning system for gas outburst hazard in working face and heading face is realized. The effectiveness of the platform is verified by the application results in Wudong Mine.