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Improving Dynamic Proximity Sensing and Processing for Smart Work-Zone Safety



Details

  • Personal Author:
  • Description:
    Equipment/vehicles striking workers is one of the most frequent accidents that occur in roadway workzones. As a means of prevention, a number of active technologies have been developed to provide proximity sensing and alerts for workers and equipment operators. However, most of these systems are based on the distance/proximity level between workers and equipment and neglect the variations caused by different settings and environmental conditions, such as equipment types and approaching speeds, which can result in inconsistency and delay of the systems. As of yet, previous research has insufficiently investigated these issues. This research addresses the issues by utilizing the Bluetooth Low Energy (BLE)-based proximity sensing and alert system developed by the authors. This paper discusses the development and assessment of parameter adjustment and adaptive signal processing (ASP) methods. The research conducted field trials in various dynamic conditions and settings to assess the performance of the system. The test results showed that the parameter adjustment function reduced the inconsistency of the alert distances resulting from different types of equipment, and that the ASP method reduced the time delay resulting from high approaching speeds. The developed proximity safety alerts system provides stakeholders with better understanding of dynamic spatial relationships among equipment, operator, workers, and a surrounding work environment; thus, improving construction work zone safety. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • ISSN:
    0926-5805
  • Document Type:
    Text
  • Funding:
    Cooperative Agreement
  • Genre:
    Journal Article
  • Place as Subject:
  • CIO:
    National Institute for Occupational Safety and Health (NIOSH)
  • Topic:
    Workplace Safety & Health
  • Location:
    North America
  • Pages in Document:
    111-120
  • Volume:
    84
  • NIOSHTIC Number:
    nn:20057656
  • Citation:
    Autom Constr 2017 Dec; 84:111-120
  • Contact Point Address:
    Yong K. Cho, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr. N.W., Atlanta, GA 30332-0355, United States
  • Email:
    yong.cho@ce.gatech.edu
  • Federal Fiscal Year:
    2018
  • NORA Priority Area:
    Construction
  • Performing Organization:
    CPWR - The Center for Construction Research and Training, Silver Spring, Maryland
  • Peer Reviewed:
    True
  • Start Date:
    20090901
  • Source Full Name:
    Automation in Construction
  • End Date:
    20240831
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:3bd5fec8e8f8d52b4dc957e6138f4627d481219e241d1fff837f62a6898a7c8cfe9b80b00ecf1ab404f62a6b8e5f3e86c6f9e4e3fab0af435e90190c811eb054
  • Download URL:
  • File Type:
    Filetype[PDF - 928.12 KB ]
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