Design of disaster early warning system for intelligent pipe gallery based on embedded system
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1. China Railway (Guizhou) Municipal Engineering Co., Ltd, Guiyang 550003, China; 2. School of Economics and Management Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China; 3. Beijing Engineering Research Center of Urban Transport Operation Guarantee, Beijing University of Technology, Beijing 100124, China

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TN806

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    Abstract:

    Intelligent pipe gallery is the “neural network” of smart cities, The safe and stable operation of the intelligent pipe gallery have important significance to the development of the city, the industrial production and our daily life. Based on embedded system technology, the disaster early warning system for intelligent pipe gallery is designed. We select the STM32F107 Interconnected microprocessor, this System can monitor the environmental information such as gas concentration, temperature and so on. It will monitor power pipeline and gas pipeline and other key regions completely,and also has the functions to alarm when parameter values exceeds the threshold and to start the emergency devices. It has important significance to stable operation of the intelligent pipe gallery and our daily life. Additionally, the system can be linked with video monitoring system,it can combine the big data generated by the Intelligent pipe gallery with the urban management, to promote development of smart city.

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  • Received:
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  • Online: July 13,2017
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