公路隧道通风安全控制系统的研究

发布时间：2018-04-13 12:21

本文选题：隧道通风 + 小波神经网络　；参考：《长安大学》2014年硕士论文

【摘要】：由“十二五”规划中交通运输领域体系，安全高效的交通运输服务体系关乎重要的民生与经济意义。其中公路隧道的高效运行体系也在不断的完善，无论从安全或节能问题上，都有研究的必要性。本文以太古西山隧道为依托，针对公路隧道通风控制系统方向，克服由于非线性控制系统造成的滞后与多参数控制困难，就如何高效的排放隧道的(主要烟雾CO、Visibility）污染，如何实现在隧道中的风机启停控制策略，提出以上问题的研究及控制方法。本文分为以下四方面：首先，公路隧道通风控制系统的相关模型研究，包括污染物的变化动力模型、交通流的模型、确定CO/VI的需风量的控制系统结构与目标；其次，具体到本项目的控制结构与模型分析，说明交通预测的必要性，并结合分析确定以小波神经网络的预测方法，简述方法过程及参考指标等，基本实现了在误差范围内的有效预测；再次，以实际值和控制器目标设定偏差值，结合交通量，前馈控制等，经过模糊原理推论，设计隧道通风控制系统的模糊控制器，，仿真说明设计的可靠性，确定输出风机的启停控制数量；最后，建立模拟台平，对基于模糊控制的公路隧道通风控制系统实验研究，由软件与硬件两部分实现，软件STEP7_v5.5、组态王等，硬件是CO/VI传感器、工控机、S7-300PLC、射流风机等，在上位机上实时监控控制效果目标。验证结果，本文通过同时应用小波神经网络与模糊控制原理，融合应用于本公路隧道的通风控制系统中，使得通风控制系统不仅有强的学习优势而且能够克服实际控制的非线性与滞后缺陷，通过理论与实际工程的相结合，同时基本满足了安全通风与优化能源的要求，表明了此研究具有的切实意义。
[Abstract]:In the 12th Five-Year Plan, a safe and efficient transportation service system is of vital importance to people's livelihood and economy.The efficient operation system of highway tunnel is also improving continuously, no matter from safety or energy saving, it is necessary to study.Based on the Swire Xishan Tunnel, aiming at the direction of ventilation control system of highway tunnel, this paper overcomes the hysteresis and multi-parameter control difficulty caused by nonlinear control system, and discusses how to efficiently discharge the pollution of tunnel (main smoke COVisibility).How to realize the control strategy of fan start and stop in tunnel, the research and control method of the above problems are put forward.This paper is divided into the following four aspects: first, the study of the relevant models of highway tunnel ventilation control system, including the change of pollutant dynamics model, traffic flow model, determine the structure and objectives of the CO/VI air volume control system, secondly,The control structure and model of this project are analyzed, the necessity of traffic forecast is explained, the forecasting method based on wavelet neural network is determined, and the method process and reference index are briefly described.Finally, the fuzzy controller of tunnel ventilation control system is designed with actual value and controller target setting deviation value, combined with traffic volume, feedforward control and so on, after fuzzy principle inference, the fuzzy controller of tunnel ventilation control system is designed.Simulation shows the reliability of the design, determines the number of output fan start and stop control. Finally, the simulation platform level is established, and the experimental research of highway tunnel ventilation control system based on fuzzy control is realized by both software and hardware.Software STEP7V5.5, Kingview, hardware is CO/VI sensor, industrial control computer S7-300 PLC, jet fan and so on, real-time monitoring control effect on the upper computer.The results show that this paper applies wavelet neural network and fuzzy control principle to the ventilation control system of the highway tunnel at the same time.The ventilation control system not only has a strong learning advantage, but also can overcome the nonlinear and lag defects of practical control. Through the combination of theory and practical engineering, it basically meets the requirements of safe ventilation and energy optimization.It shows that this study has practical significance.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U453.5

【参考文献】