基于改进最大熵算法的煤矿安全监测系统设计

摘要

研究了煤矿安全监测及灾害预警的检测问题,提高检测的准确性.已有的煤矿安全监测技术多是基于单层传感网络设计,当瓦斯等危险气氛浓度泄露受到外界干扰,容易发生检测节点特征退化,传统方法抗噪能力差,效率低,监测结果不稳定.为了解决这一问题,提出一种基于改进最大熵算法的井下实时监控与灾害监测预警系统设计方法.设计了基于抗干扰的最大熵检索建模功能,快速计算跳数和能耗信息,实现安全隐患的准确检测.仿真结果表明,系统能够大幅降低干扰风险,取得良好的效果.%The paper put forward a maximum entropy algorithm based on improved underground real-time monitoring, disaster monitoring and warning system design method. Based on the design of anti-interference maximum entropy retrieval function modeling, fast calculation hop count and energy consumption information, accurately detection of hidden safe trouble was realized. Simulation results show that the system can dramatically reduce the interference risk and has achieved good effects.