Abstract
The development of Building Information Modelling provides a visual and information-rich environment to incorporate the construction risk knowledge in the domain of safety management. Ontology and semantic web technology offer an opportunity to enable such domain knowledge to be represented semantically. This paper attempts to take advantage of the strength of BIM, ontology and semantic web technology to establish an ontology-based methodology/framework for construction risk knowledge management in BIM environment. The risk knowledge is modelled into an ontology-based semantic network to produce a risk map, from which the interdependences between risks, risk paths can be inferred semantically. Based on the semantic retrieval mechanism, the applicable knowledge is dynamically linked to the specific objects in the BIM environment. Based on the methodology, a prototype system is developed as a tool to facilitate the construction risk knowledge management and reuse in hope of indirectly improving the construction risk analysis process. A case application is implemented to demonstrate the risk prevention through construction process/method selection, including the risk factors identification, risk paths reasoning and risk prevention plan recommendation. Finally, a questionnaire survey highlights the potential benefits and limitations on the deployment of such system.
Highlights
IntroductionRisk management is a very knowledge intensive process
In any construction project, risk management is a very knowledge intensive process
A prototype system is developed as a tool to facilitate the construction risk knowledge management and reuse in hope of indirectly improving the construction risk analysis process
Summary
Risk management is a very knowledge intensive process. The probable risks are identified by experts through the risk evaluation exercises based on their individual expertise and available design information (i.e. 2D construction drawings). Having identified the possible risks, relevant preventive measures can be put in place. It is recognised that 2D information does not effectively support risk identification because limited information is provided by 2D drawings (Li and Hua, 2012). By comparison, Building Information Modelling (BIM) has been evidenced to substantially improve the information environment for the construction risk identification and prevention (Smith and Tardif, 2009; Kiviniemi et al, 2011). In a BIM environment, more effective and proactive construction risk and safety management can be accomplished (Ku and Mills, 2008)
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