Application of Outburst Early Warning Technology based on Gas Emission Characteristics in Coal Mine

Abstract

To address the existing limitations of current coal and gas outburst prediction techniques employed and to enhance the overall capacity for preventing and controlling gas-related disasters, a strategic approach leveraging the dynamic characteristics of gas gushing was adopted for early warning purposes. Utilizing these insights, we developed a robust early warning index system and a sophisticated early warning model, which were integrated to construct a tailored coal and gas outburst early warning system. This system was designed to capitalize on the unique dynamic gas gushing characteristics observed at Pingshu Mine, ensuring high relevance and effectiveness. Subsequently, the efficacy of this newly established early warning system was rigorously tested through field verification at two critical locations within Pingshu Mine: the 81111 end road and the 81111 return airway. The results of these tests were highly encouraging, demonstrating an impressive early warning accuracy rate of 80%. This outcome underscores the system's reliability and its positive impact on enhancing safety measures. The implemented system offers a suite of advanced functionalities, including real-time monitoring, online data analysis, intelligent early warning generation, and the prompt dissemination of alerts regarding potential coal and gas outburst disasters. These capabilities collectively represent a significant leap forward in mine outburst prevention technology, providing a substantial boost to safety standards and facilitating the safe and efficient operation of Pingshu Mine.