• Title of article

    Safety risk identification system for metro construction on the basis of construction drawings

  • Author/Authors

    Ding، نويسنده , , Ly-Mee Yu، نويسنده , , H.L. and Li، نويسنده , , Heng and Zhou، نويسنده , , C. and Wu، نويسنده , , X.G. and Yu، نويسنده , , M.H.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2012
  • Pages
    18
  • From page
    120
  • To page
    137
  • Abstract
    Risk identification is a critical task in the risk management of metro and underground construction. This paper presents the safety risk identification system (SRIS) for metro construction based on construction drawings, which can be applied to the pre-construction risk assessment process to identify potential safety hazards, identify risks automatically and provide a basis for dynamic risk early warning and control. This paper summarizes the safety risks and risk factors of the metro construction, interprets the acquisition process of risk identification rules, and the production of rule-extensions and the storage of rule structures, on which the knowledge database of risk identification is based. It also develops the overall risk identification process and a group-retrieval matching algorithm based on meta-rules and certainty factors. Four recognition algorithms for typical graphic elements are proposed as a result of considering the features of metro construction drawings. The unique characteristic of SRIS is that, with the automatic identification of construction drawings by computer, the engineering parameters and relations between the construction drawings and the risk identification knowledge database can be quickly obtained. As a result, safety risks in metro construction can be automatically identified from the knowledge database.
  • Keywords
    Metro project , construction safety , Automatic risk identification , Drawing recognition
  • Journal title
    Automation in Construction
  • Serial Year
    2012
  • Journal title
    Automation in Construction
  • Record number

    1338543