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Research On Early Warning Of Construction Safety Based On Rough Set And Support Vector Machine

Posted on:2019-02-14Degree:MasterType:Thesis
Country:ChinaCandidate:L J LuoFull Text:PDF
GTID:2371330566996369Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
the urbanization rate of our country has broken through 50% in virtue of economic development.The construction scale of each big and small city has been expanded rapidly,which leads to the construction industry becoming the fastest growing industry in the state economy,and the construction industry is the industry of safety and casualty accidents.The building structure also presents the development trend of profiling,large volume and super high rise.The future safety management will face a more severe test.Therefore,it is of theoretical and practical significance to study the safety management of building and to study the early warning of construction safety.Based on the "4M" theory,rough set theory and support vector machine theory,this paper constructs the early warning model for building construction safety.This paper first identifies the cause of construction accidents,and identifies the impact factors of building safety from multiple angles.Based on the "4M" theory,this paper analyzes the causes of construction safety construction from four aspects of human factors,material factors,management factors and environmental factors.Secondly,through the analysis of the influencing factors of building safety,combined with the research results of other scholars and the advice of consulting experts,the construction site safety evaluation index system is set up,and the experts are consulted by the questionnaire in the three actual projects to obtain the index data.Then,according to this index system,rough set theory is used to reduce the attribute,and the weights are discretized and attribute reduction,and the characteristics of redundancy or interference are removed,and the optimal attribute sets are formed.Then combined with the support vector machine theory,the SVM model is trained with the aid of advanced computer technology,the historical data of the input condition attributes and the decision attributes,and the related parameters and kernel functions are optimized to form an early warning model.Finally,the early-warning model is used in the actual project to carry out the project construction safety early warning.According to the early warning results and the actual situation of the project,the relevant security management measures are put forward from the two angles of daily safety management and emergency safety management.
Keywords/Search Tags:security warning, RS theory, SVM theory, attribute reduction
PDF Full Text Request
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