Volume 43 Issue 6
Jun.  2017
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SONG Jiangong, WANG Zhixin, LI Qinyong, et al. Internet information processing for earthquake emergency response[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(6): 1155-1164. doi: 10.13700/j.bh.1001-5965.2016.0785(in Chinese)
Citation: SONG Jiangong, WANG Zhixin, LI Qinyong, et al. Internet information processing for earthquake emergency response[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(6): 1155-1164. doi: 10.13700/j.bh.1001-5965.2016.0785(in Chinese)

Internet information processing for earthquake emergency response

doi: 10.13700/j.bh.1001-5965.2016.0785
Funds:

National Natural Science Foundation of China 61300007

National Natural Science Foundation of China 61305054

Foundation of the State Key Lab of Software Development Environment SKLSDE-2012ZX-28

Foundation of the State Key Lab of Software Development Environment SKLSDE-2014ZX-06

More Information
  • Corresponding author: LYU Jianghua, E-mail:jhlv@nlsde.buaa.edu.cn
  • Received Date: 10 Oct 2016
  • Accepted Date: 09 Jan 2017
  • Publish Date: 20 Jun 2017
  • In recent years, the domestic and international earthquake disaster has caused huge losses to human life and property. Massive earthquake disaster information on the Internet can provide the basis for decision support for emergency response and timely rescue, so there is an urgent need for efficient and rapid processing of the disaster information. To study the information processing of the earthquake disaster in the Internet, the seismic event model, webpage object model, etc. were defined, and the convergence of Web information was defined with the limit method. The characteristics of the Internet disaster information dissemination were described. According to the characteristics of the timeliness of disaster information, the Web information extraction algorithm was proposed, which supports dynamic convergence. The method of time series statistics for the change of the disaster information with time was presented, and the information statistic report was formed, which provides the basis for rescue decision making. The intelligent information processing system for earthquake emergency response was designed and implemented. The models and methods were verified in a practical engineering project.

     

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