Analyse And Research On Intelligent Drainage Monitoring System Of Urban Highway Tunnels

With the rapid development of urban construction, the phenomenon of urban traffic jam tends to be serious. Urban road tunnel is increasing to solve such problems as transport facilities and urban traffic congestion as soon as possible. Tunnel current monitoring equipment and monitoring program have been basically mature, but the cost performance is not high enough to achieve automatic control. Although the current of tunnel monitoring equipment and monitoring schemes although matured, but many related problem is still in the initial stage of research, this paper studies the drainage tunnel is intelligent control problem initial stage.Usually, the formation of drainage object is an uncertain phenomenon, the initial state can not determine the unknown state, and these uncertainties include random, fuzzy and incomplete information (gray) and the imprecise nature of information processing. Objective uncertainties mainly include rainfall, topography, surface conditions, such as the randomness and fuzziness. These objective uncertainty led to an uncertainty flow analysis and simulation of subjective uncertainty, such as the calculation model, the selected parameters, calculation assumptions, calculation simplify, the calculation icon, information description, and measurement accuracy. And compared with the deterministic method, fuzzy logic showed greater scientific superiority in describing the characteristics of things and our understanding of the relationship which is not clear.This paper firstly analyzes the relevant specifications and characteristics of urban highway tunnel, puts forward a framework of the city's highway tunnel intelligent monitoring system; On the basis of the national standards and regulations, research established based on fuzzy reasoning neural network of highway tunnel, and puts forward the GABP neural network in the tunnel pump the application of intelligent control. In this paper, the author uses the genetic algorithms (GA) to optimize the traditional BP neural network model, and establish the GABP neural network model. The Zhongshan Road underground passage of Wuchang Railway station is taken as the object of study to establish the tunnel drainage system based on the GABP neural network and do the simulation experiment. Compare to the traditional BP neural network, GABP can reduce the computational capacity and training time, speed up convergence and improve forecast accuracy. Meanwhile, by adopting the method of combination of qualitative and quantitative to do the system analysis and synthesis, the design of the controller will shake off restricts of system model, and the algorithm simple and robust.Urban highway tunnel intelligent monitoring system can be used as a part of the Urban Intelligent Transportation. Intelligent traffic monitoring system as a method of solution to the problems of the complex urban transport system, has a strong feasibility and a great value of practical application. It will be the direction of the rapid development of industrialization. Its design and study show the vital practical significance.