Design of building black-boxes to support disaster rescue & recovery

Min Hsuan Tsai, Liang Y. Liu, Feniosky Peña-Mora

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents the conceptual design of a building black-box that is equipped with disaster-survivable protections, wireless communication capabilities and a digital building database to support the decision-making process during and after building disaster events. This black-box system aims at building an infrastructure of two-way communication between the building systems and the emergency response team on the mobile ad hoc space for collaboration (MASC) platform, providing realtime and critical information regarding building structural health, environmental conditions and personnel information. In addition, the building black-box system will also integrate with a building structural behavior analyzer that can send alert signals regarding extreme disaster events such as imminent building collapse.

Original languageEnglish (US)
Title of host publication19th International Conference on Computer Applications in Industry and Engineering, CAINE 2006
Pages318-323
Number of pages6
StatePublished - Dec 1 2006
Event19th International Conference on Computer Applications in Industry and Engineering, CAINE 2006 - Las Vegas, NV, United States
Duration: Nov 13 2006Nov 15 2006

Publication series

Name19th International Conference on Computer Applications in Industry and Engineering, CAINE 2006

Other

Other19th International Conference on Computer Applications in Industry and Engineering, CAINE 2006
CountryUnited States
CityLas Vegas, NV
Period11/13/0611/15/06

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ASJC Scopus subject areas

  • Computer Science Applications
  • Industrial and Manufacturing Engineering

Cite this

Tsai, M. H., Liu, L. Y., & Peña-Mora, F. (2006). Design of building black-boxes to support disaster rescue & recovery. In 19th International Conference on Computer Applications in Industry and Engineering, CAINE 2006 (pp. 318-323). (19th International Conference on Computer Applications in Industry and Engineering, CAINE 2006).