高速公路隧道机房环境智能监测系统设计

Design of Intelligent Monitoring System for Environment of Mechanical Room of Highway Tunnel

隧道作为高速公路的咽喉路段,一旦隧道机房突发险情而不能及时发现,容易造成重大财产损失、人员伤亡,引发恶性交通事故。基于此,提出了一种基于仿射传播聚类算法的危险事件智能识别模型,进而设计了整套高速公路隧道机房环境智能监测系统。提出的模型综合传感器所采集到的多类别环境信息,得到聚类图用于判断当前环境状况。系统中采用新型的聚类算法,得到环境聚类图,智能区分各种高速公路隧道机房发生的危险事件,增加整个监测系统的智能化与信息化程度。在实验与测试中,通过使用本系统,维护人员可准确把控整个隧道机房情况,测试结果表明,该系统提升了公路的运营、管理、养护效率,具有良好的参考意义。

The tunnel is featured as the throat section of expressway,if dangerous event occurs in the tunnel mechanical room but fails to be found timely,it is likely to cause significant property losses,casualties,and cause severe traffic accidents.Based on this,an intelligent identification model of dangerous events is proposed based on affinity propagation clustering algorithm,and then a complete intelligent monitoring system for the environment of the highway tunnel mechanical room is designed.The proposed model can synthesize the multi-category environmental information collected by the sensors,and obtain a clustering diagram for judging the current environmental conditions.The system adopts a new type of clustering algorithm to obtain environmental clustering maps,intelligently distinguish the dangerous events that occur in various highway tunnel mechanical rooms,and increase the intelligence and information level of the entire monitoring system.In experiments and tests,by using this system,maintenance personnel can accurately control the situation of the entire tunnel machine room.The test results show that the system can improve the efficiency of highway operation,management,and maintenance,which can provide reference for similar projects.