Published since 1923
DOI: 10.33622/0869-7019
Russian Science Citation Index (RSCI) на платформе Web of Science

  • Approaches to the Analysis of Information Models of Buildings and Complexes
  • UDC 65.011.56
    Pavel D. CHELYSHKOV, e-mail:
    Moscow State University of Civil Engineering (National Research University), Yaroslavskoe shosse, 26, Moscow 129337, Russian Federation
    Abstract. Simulation modeling is a promising way to improve the quality of realization of the objects of industrial and civil construction. The article considers approaches to the analysis of information models of buildings and complexes of various purposes which make it possible to implement the optimization of management processes. Two criteria for assessing the quality of the model are proposed; they are the criterion of information saturation of the model and relevance criterion of the model. Practical application of the first criterion makes it possible to determine the optimal plan for filling the information model, herewith optimization is executed according to the maximum amount of useful information. The criterion is applied at all stages of the life cycle of the model in the process of actualizing the model data. The second criterion makes it possible to assess the need for actualization of model data. Being a vector (in the space of significant values of the modeling object) of deviating the model data from the values of the modeling object, the criterion gives a signal of the need to start the procedure for updating the model data according to the specified rules. The proposed group of criteria provides the analytical support for the control process over the information modeling of construction objects.
    Key words: information modeling, criterion of information saturation, relevance criterion of models, construction objects.
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  • For citation: Chelyshkov P. D. Approaches to the Analysis of Information Models of Buildings and Complexes. Promyshlennoe i grazhdanskoe stroitel'stvo [Industrial and Civil Engineering], 2018, no. 2, pp. 72-75.