• Title/Summary/Keyword: automated data collecting (ADC)

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

  • Hyunsoo Kim;Hyun-Soo Lee;Moonseo Park;Sungjoo Hwang
    • International conference on construction engineering and project management
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    • 2011.02a
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    • pp.17-22
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    • 2011
  • 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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Hazardous Area Identification Model using Automated Data Collection(ADC) based on BIM (BIM기반 자동화 데이터 수집기술을 활용한 위험지역 식별 모델)

  • Kim, Hyun-Soo;Lee, Hyun-Soo;Park, Moon-Seo;Lee, Kwang-Pyo;Pyeon, Jae-Ho
    • Korean Journal of Construction Engineering and Management
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    • v.11 no.6
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    • pp.14-23
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    • 2010
  • A considerable number of construction disasters occurs on pathway. A safety management in construction sites is usually performed to prevent accidents in activity areas. This means that safety management level of hazards on pathway is relatively minified. Many researchers have introduced that a hazard identification is fundamental of safety management. Thus, algorithms for helping safety managers' hazardous area identification is developed using automated data collection technology. These algorithms primarily search potential hazardous area by comparing workers' location logs based on real-time locating system and optimal routes based on BIM. And potential hazardous areas is 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 improving safety in construction sites.