隧道通风和火灾报警系统研究

【作者】 孙巧燕；

【导师】 苏诗琳；

【作者基本信息】 长安大学 ， 交通信息工程及控制， 2002， 硕士

【摘要】 本文从高速公路隧道监控系统六大功能和构成隧道监控系统的八个子系统两个方面深入讨论了我国高速公路隧道监控系统，详细叙述了隧道监控系统的构成和功能。重点介绍了隧道监控系统中的通风控制子系统和火灾检测报警子系统。长大隧道监控系统中隧道通风控制和隧道火灾检测报警系统是监控系统的难点和焦点。本文第二部分提出了基于模糊控制理论的隧道通风控制系统。采用一氧化碳浓度和烟雾浓度作为模糊系统的输入变量，经过模糊化、模糊控制规则的确定、模糊推理、模糊判决四个步骤，最终确定出可以直接用于通风控制编程使用的模糊控制表。第三部分提出了基于模糊神经网络的隧道火灾报警系统。采用温度值和烟雾浓度值作为模糊神经网络的输入变量，网络的输出变量为报警值。采用一组样本数据对模糊神经网络进行训练，并对训练后模糊神经网络进行仿真以测试报警效果。更多还原

【Abstract】 This paper studies freeway tunnel TSC(Traffic Surveillance and Control) System in our country. In this paper the six functions and the eight subsystems of freeway tunnel TSC System are completely discussed . The ventilation control subsystem and fire detection subsystem are represented in detail. The difficulty and focus of long tunnel TSC System are ventilation control subsystem and fire detection subsystem. In the second section a ventilation control system based on fuzzy control theory is proposed. Co value and fog value is the input variable of fuzzy system, pass through fuzzy , fuzzy rules , fuzzy inference and fuzzy decision-making, a fuzzy control table that can be used directly in ventilation control program is gotten. In the third section a tunnel fire detection system based on fuzzy neural network is proposed. Temperature and fog value are the input variable of fuzzy neural network, the output value is alarm value. A group of data is used to train fuzzy neural network. The fuzzy neural network is stimulated to ensure its effect.更多还原