Research On Safety Risk Management Of Assembled Building Construction

For prefabricated construction environment is complex,more unpredictable factors,construction accidents happen occasionally,difficulty of construction safety risk factors for identification and to have rapid targeted safety accident emergency decision problem.In this paper,the safety risk management cases of prefabricated building construction are collected,and the safety risk factors of prefabricated building construction are analyzed.Using Protege software build prefabricated building construction safety risk knowledge ontology,will build the risk knowledge ontology as complex network system,with the help of the existing analysis method for complex networks and performance indicators,ontology structure features,so as to realize the purpose of construction safety risk factors identification;Secondly,the identification of the safety risk of the prefabricated building construction is evaluated by the uncertain analytic hierarchy process and the fuzzy comprehensive evaluation method,so as to determine whether the risk response measures need to be taken.Then,with the help of the knowledge inference technology,a similar case retrieval is carried out by combining the conceptual semantic and characteristic attributes in the ontology conceptual hierarchy.According to the results of the retrieval,three different kinds of retrieval results are presented.To formulate measures for implementation after the analysis,in order to solve feedback prefabricated building construction safety risk at any time,at the same time,will solve the case as a new case is stored in the ontology repository,an ontology is easy to improve.Through a prefabricated building construction project,this project of prefabricated building construction safety risk factors identification model and the construction safety risk analysis to model validation,show that the method is of maneuverability,also can improve the prefabricated building construction safety risk management measures of pertinence and the intelligent construction safety risk management level.