A HAZARDOUS AREA IDENTIFICATION MODEL USING AUTOMATED DATA COLLECTION (ADC) BASED ON BUILDING INFORMATION MODELLING (BIM)

  • Hyunsoo Kim (Department of Architecture, Seoul National University) ;
  • Hyun-Soo Lee (Department of Architecture, Seoul National University) ;
  • Moonseo Park (Department of Architecture, Seoul National University) ;
  • Sungjoo Hwang (Department of Architecture, Seoul National University)
  • Published : 2011.02.16

Abstract

A considerable number of construction disasters occur on pathways. Safety management is usually performed on construction sites to prevent accidents in activity areas. This means that the safety management level of hazards on pathways is relatively minimized. Many researchers have noted that hazard identification is fundamental to safety management. Thus, algorithms for helping safety managers to identify hazardous areas are developed using automated data collection technology. These algorithms primarily search for potential hazardous areas by comparing workers' location logs based on a real-time location system and optimal routes based on BIM. Potential hazardous areas are filtered by identified hazardous areas and activity areas. After that, safety managers are provided with information about potential hazardous areas and can establish proper safety countermeasures. This can help to improve safety on construction sites.

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Acknowledgement

This research was supported by a grant (code # 09 R&D A01) from the Super-Tall Building R&D Project funded by the Ministry of Land, Transport and Maritime Affairs of the Korean government.