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Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
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A Big-Data-based platform of workers' behavior: Observations from the field.

S Y Guo1, L Y Ding1, H B Luo1

  • 1School of Civil Engineering and Mechanics and Institute of Construction Management, Huazhong University of Science and Technology, Wuhan, China.

Accident; Analysis and Prevention
|November 29, 2015
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Summary

This study introduces a Big-Data platform to address limitations in construction Behavior-Based Safety (BBS). The platform effectively collects and analyzes worker behavior data from metro construction sites to improve safety outcomes.

Keywords:
Behavior observationBehavior-Based SafetyBig DataHDFSIntelligent video surveillanceMobile application

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Area of Science:

  • Construction Safety
  • Occupational Health
  • Big Data Analytics

Background:

  • Behavior-Based Safety (BBS) is widely used in construction but faces implementation challenges.
  • Existing BBS methods have limitations in effectively observing, analyzing, and modifying worker behavior.
  • There is a need for advanced systems to overcome these BBS limitations in construction environments.

Purpose of the Study:

  • To develop and implement a Big-Data-based platform for classifying, collecting, and storing data on workers' unsafe behavior.
  • To mitigate the negative impacts and limitations associated with traditional Behavior-Based Safety approaches.
  • To enhance the real-time visualization and identification of safety-jeopardizing behaviors in construction projects.

Main Methods:

  • A case study approach was employed, focusing on a metro construction project.
  • A behavioral risk knowledge base was established.
  • Data on unsafe worker behavior was collected using intelligent video surveillance and a mobile application, stored via Hadoop Distributed File System (HDFS).

Main Results:

  • The developed Big-Data platform effectively analyzes semantic information from collected images.
  • The system automatically extracts workers' unsafe behavior with high efficiency.
  • Data retrieval from the HDFS was demonstrated to be rapid and effective.

Conclusions:

  • The Big-Data platform successfully addresses limitations of traditional Behavior-Based Safety in construction.
  • Construction organizations can utilize this platform for real-time visualization of unsafe acts.
  • The system facilitates the identification of behavioral patterns that pose risks to safety outcomes.