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Title: An integrated information management model for proactive prevention of struck-by-falling-object accidents on construction sites
Authors: Wu, Weiwei
Yang, Huanjia
Li, Qiming
Chew, David A.S.
Keywords: Struck by
Falling objects
Proactive prevention
Integrated information management model
ZigBee RFID sensor network
Issue Date: 2013
Publisher: © Elsevier B.V.
Citation: WU, W. ... et al., 2013. An integrated information management model for proactive prevention of struck-by-falling-object accidents on construction sites. Automation in Construction, 34, pp. 67 - 74
Abstract: The construction industry is one of the most hazardous industries in many countries. Struck-by-falling-object accidents are not given adequate attention even though they are of great importance on construction sites. The objective of this paper is to analyze the proactively preventive information requirement of struck-by-falling-object accidents and propose an integrated information management model using a ZigBee RFID sensor network to fulfill these requirements. First, the frequency of particular type of objects is analyzed based on vast historical accident cases. Next, this paper analyzes the proactively preventive information requirement of struck-by-falling-object accidents and brought forth an integrated information management model. Furthermore, considering the crucial and controllable objects, an integrated information management model is proposed. This study would provide a possible approach for tracking struck-by-falling-object accidents based on real-time information for proactive prevention and could serve as a foundation for further study. © 2012 Elsevier B.V. All rights reserved.
Description: This article was published in the journal, Automation in Construction [© Elsevier B.V.] and the definitive version is available at: http://dx.doi.org/10.1016/j.autcon.2012.10.010
Version: Accepted for publication
DOI: 10.1016/j.autcon.2012.10.010
URI: https://dspace.lboro.ac.uk/2134/14599
Publisher Link: http://dx.doi.org/10.1016/j.autcon.2012.10.010
ISSN: 0926-5805
Appears in Collections:Published Articles (Computer Science)

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