Research On Fire Alarm System Of Urban Rail Transit

As the development of society and economy, our country's urbanization process is very fast, the city expands gradually and the population rises quickly, the urban traffic can not meet the need of the large amount of trips and freight. The experience in the foreign cities shows that the answer to the urban traffic problem is the comprehensive transportation system that mainly consists of public transportation including urban rail transit, such as metro and light rail transit. But the rapid development of urban rail transit has also brought a lot of potential safety problems, such as the fire disaster.According to the fire combustion characteristics analysis, in order to effectively control the fire probability, reducing the loss of lives and property, the most fundamental way is accurate detection in the early fire and timely implementation of security measures to prevent the fire expanding. Therefore, the fire alarm system technology research has great practical significance. Based on the analysis of the urban rail transit system and the risk of fire, and taking into account the fuzzy control theory and neural network technology, this paper primarily conduct research from the fire detectors choice application, fire signal processing methods and other areas. By the improvements in parameters, such as hidden layer and node number, and regulating in algorithm of the BP neural network, establish a variety of practical application model and proved its viability by simulation studies. Finally, set up a series of proposals and measure for the automatic fire alarm system structure, elements and setting principle, and summarize the development prospects and deficiencies with the ways of improvement.