人工智能在甲烷传感器规范性的分析应用  

Artificial Intelligence in the Analytical Application of Methane Sensor Specificity

作　　者：李柯宏 岳显伟 LI Kehong;YUE Xianwei(Yunding Technology,Jinan 250000,China)

机构地区：[1]云鼎科技,山东济南250000

出　　处：《煤矿现代化》2025年第2期137-142,共6页Coal Mine Modernization

摘　　要：本文聚焦于人工智能技术在甲烷传感器领域的应用及其对煤矿安全进行规范性分析的重要性。甲烷作为一种易燃易爆气体,在煤矿环境中的浓度监测对于预防瓦斯爆炸和保障矿工生命安全至关重要。传统的甲烷监测方法依赖于固定的传感器设备,而这些设备往往缺乏灵活性和智能化处理能力。通过将人工智能技术与甲烷传感器相结合,可以实现对煤矿环境中甲烷浓度的实时监测与智能预警,显著提升了煤矿作业的安全性。还深入分析了现行煤矿安全规范在融合AI技术后的适应性与改进需求,强调了在新技术背景下加强规范性分析的必要性和紧迫性。最终,提出了基于AI技术的甲烷传感器系统在煤矿安全领域的优化建议,为构建更加智能、安全的煤矿生产环境提供了理论依据和实践指导。This article focuses on the application of artificial intelligence technology in the field of methane sensors and the importance of normative analysis for coal mine safety.Methane,as a flammable and explosive gas,is crucial for preventing gas explosions and ensuring the safety of miners to monitor its concentration in coal mine environments.Traditional methane monitoring methods rely on fixed sensor equipment,which often lack flexibility and intelligent processing capabilities.By combining artificial intelligence technology with methane sensors,real-time monitoring and intelligent early warning of methane concentration in coal mine environments can be achieved,significantly enhancing the safety of coal mining operations.also deeply analyzes the adaptability and improvement needs of current coal mine safety regulations after integrating AI technology,emphasizing the necessity and urgency of strengthening normative analysis in the context of new technologies.Finally,it proposes optimization suggestions for methane sensor systems based on AI technology in the field of coal mine safety,providing theoretical basis and practical guidance for building a more intelligent and safer coal production environment.

关 键 词：人工智能 甲烷传感器 规范性分析 煤矿安全 

分 类 号：TD76[矿业工程—矿井通风与安全] TD712