Intelligent Building Hazard Detection Using Wireless Sensor Network and Machine Learning Techniques

Research and innovation in the design of sustainable intelligent buildings has gained much interest recently. Among various technologies, wireless sensor network is a promising option that enables real-time building monitoring and control. In addition to utilizing the collected data points for building operation management, it is attractive to analyze the real time building information for hazard detection. In this paper, the authors implemented an indoor wireless sensor network that transmits the sensed nearby air temperature. A machine learning algorithm is developed to analyze the collected data and automatically generate early warning signals for hazards. Experimental results validate the proposed algorithm and the effectiveness of using a wireless sensor network for early detection of building hazards.

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