基于温湿度感知的隧道火灾监测系统研究

Research of Tunnel Fire Monitoring System Based on Temperature and Humidity Perception

针对现有隧道火灾监测系统无法有效进行火灾预测,提出了一种基于温湿度感知的隧道火灾监测系统。依据火灾发生的必要条件以温湿度感知相结合的方式构建了温湿度感知模块对隧道火灾进行预测,采用Zig Bee物联网技术构建了空气质量监测模块,监测多项隧道内污染物含量。最后搭建了调控模块,依据温湿度感知模块和空气质量监测模块的数据远程调控隧道内机电设备。系统以信息感知层、数据分析层、数据传输层、数据处理层、执行层为构架建立,实现了火灾预测和隧道空气质量调控,提高了监测系统的运行和处理能力。

In view of the fact that the existing tunnel fire monitoring system cannot effectively predict the conflagration,a tunnel fire monitoring system based on temperature and humidity perception is proposed.According to the necessary conditions of fire occurrence,the temperature and humidity sensing module is constructed by combining temperature and humidity perception to predict tunnel fire.The air quality monitoring module is built by using Zig Bee IoT technology to monitor the content of pollutants in the tunnel.Finally,a regulate and control module is built to remotely control the electromechanical equipment in tunnel according to the data of temperature and humidity sensing module and air quality monitoring module.The system is built with the information-aware layer,data analysis layer,data transmission layer,data processing layer,and execution layer,the fire prediction and tunnel air quality control are realized,and the operation and processing ability of the monitoring system is improved.