کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
246894 502394 2012 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Safety risk identification system for metro construction on the basis of construction drawings
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
پیش نمایش صفحه اول مقاله
Safety risk identification system for metro construction on the basis of construction drawings
چکیده انگلیسی

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.


► Relationships between risks/risk factors and construction drawings are built.
► We design 4 drawing recognition algorithms to obtain technical parameters.
► We present the acquisition methods of risk identification rules.
► Metro construction safety risk automatic identification system is developed.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Automation in Construction - Volume 27, November 2012, Pages 120–137
نویسندگان
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