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A Risk Radar driven by Internet of intelligences serving for emergency management in community
Chongfu Huang1, Tong Wu2, Ortwin Renn3
1Academy of Disaster Reduction and Emergency Management, Beijing Normal University, No.19 Xinjiekouwai Street, Beijing 100875, China.
Abstract:
Today, most of the commercial risk radars only have the function to show risks, as same as a set of risk matrixes. In this paper, we develop the Internet of intelligences (IOI) to drive a risk radar monitoring dynamic risks for emergency management in community. An IOI scans risks in a community by 4 stages: collecting information and experience about risks; evaluating risk incidents; verifying; and showing risks. Employing the information diffusion method, we optimized to deal with the effective information for calculating risk value. Also, a specific case demonstrates the reliability and practicability of risk radar.
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