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Analyse and Research on Intelligent Drainage Monitoring System of Urban Highway Tunnels

Author: ChenMin
Tutor: MaChengQian
School: Wuhan University of Technology
Course: Applied Computer Technology
Keywords: Urban highway tunnel Genetic Algorithms BP neural network model GABP Neural Network Smart drainage system
CLC: TP277
Type: Master's thesis
Year: 2011
Downloads: 39
Quote: 0
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Abstract


Phenomenon of urban traffic congestion is worsening, increasing number to resolve the problem of poor transportation, urban highway tunnel, road tunnel tunnel intelligent monitoring system is necessary condition for the normal and efficient operation. Although the the tunnel monitoring of equipment and the monitoring program has been basically mature, but many of the issues related to the research is still in its infancy, this study tunnel intelligent drainage control problem in the initial stages of the tunnel research. Intelligent urban highway tunnel drainage drainage system is not only important part of a highway tunnel intelligent monitoring system, but also the the highway tunnel intelligent monitoring system difficult problems. Usually the drainage process of the formation of the object is an uncertainty of the phenomenon, the uncertainty of the objective conditions, such as rainfall, topography, underlying surface layer determines the randomness and fuzziness of the drainage objects. This led to such as computational model, the calculated parameters selected, the calculation assumes that simplify the calculation, calculation icon, the information described, measurement accuracy, such as a series of uncertain generation, makes the highway tunnel intelligent drainage control system using smart The method must have a more practical and scientific. The paper first analyzes the characteristics of urban highway tunnel, proposed the framework of urban highway tunnel intelligent drainage control system, in accordance with the relevant standards and regulations of the country, researchers established a fuzzy inference neural network-based highway tunnel drainage control model is proposed based on GABP The neural networks drainage control algorithm. GABP neural network model to optimize BP neural network model and historical data of the mountain road tunnel in Wuhan as the research object, city road tunnel on the the GABP neural networks created Smart drainage control model using genetic algorithms (GA) work simulation. Derived experimental results compared with the original BP neural network can reduce the amount of computation, shorten the training time, speed up the convergence, improve forecast accuracy. Meanwhile, a combination of qualitative and quantitative system analysis and synthesis, so that the controller is designed to get rid of the shackles of the system model, the algorithm is simple, strong robustness. Urban highway tunnel intelligent drainage control system as part of the intelligent traffic monitoring of urban highway tunnel, is a practical solution to solve the problem of urban traffic congestion Urban Intelligent Traffic Monitoring System has a strong feasibility and practical value, and will be widely used in among urban highway tunnel, intelligent design and research is of great significance.

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Monitoring, alarm,fault diagnosis system
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