Chapter
Jul 3, 2013
Highway Tunnel Fire Automatic Detection System Based on Double Detectors and BP Neural Network
Authors: Chengzan Chu [email protected], Lei Wang [email protected], Ran Na [email protected], and Cheng Wang [email protected]Author Affiliations
Publication: ICTIS 2013: Improving Multimodal Transportation Systems-Information, Safety, and Integration
Abstract
With the rapid development of highway construction, the proportion of tunnels became larger and larger. So, automatic fire detection is very important for long tunnels and tunnel groups. In order to reduce the false alarm rate and increase system reliability through analyzing the current all kinds of highway tunnel fire detection technology, the scheme for highway tunnel fire automatic detection system was presented based on double detectors and BP neural network, and which perform alarm linked with tunnel video surveillance system. Practical application shows that this system increased the response speed and accuracy of fire detection and promoted emergency rescue plan implementation efficiently.
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© 2013 American Society of Civil Engineers.
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Published online: Jul 3, 2013
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Research Institute of Highway, Ministry of Transport, 8 Xitucheng Rd., Beijing, China. E-mail: [email protected]
Research Institute of Highway, Ministry of Transport, 8 Xitucheng Rd., Beijing, China. E-mail: [email protected]
Research Institute of Highway, Ministry of Transport, 8 Xitucheng Rd., Beijing, China. E-mail: [email protected]
Research Institute of Highway, Ministry of Transport, 8 Xitucheng Rd., Beijing, China. E-mail: [email protected]
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