Sachenko I. Models and methods of increasing the efficiency of the information system of integrated security of buildings

Dissertation for the degree of a candidate of technical sciences on the specialty 05.13.06 - information technologies. - Kyiv National University of Construction and Architecture. - Kyiv, 2019. The dissertation is devoted to the development of the information system for diagnosing the technical condition of the complex safety of buildings. The algorithm for forecasting the moment of the onset of a transition situation is developed for changing the dynamics of data measurements; the method of baseless estimation of values of the parameters of the system of diagnostics of technical condition of buildings safety was developed; the method of forecasting the development of preadvarian situations that are not available for detection by traditional methods is developed. The methods of risk analysis of the system of diagnostics of the technical condition of safe operation of buildings are proposed; the analytical tools for estimating the decisions made regarding the choice of the structure of models in the conditions of automated control of the process of diagnostics of the technical condition of safety of buildings are proposed; the generalized estimation of the acceptance of qualitative decisions for the tasks of the system of diagnostics of the technical condition of safety of buildings is presented. The theoretical substantiation of the decision of the problem of prediction of the safety of buildings on the basis of the device of artificial neural networks; the mathematical model of diagnostics of the future conditions of operation of buildings is constructed under conditions of implementation of quantitative and qualitative indicators dictated by the provisions of normative documents; the proposed method of solving the system problem of forecasting qualitative and quantitative safety indicators of buildings, which made it possible to develop the structure of information technology diagnostics and provide reliable information support for its functional elements; methods of defect character recognition are developed in diagnostics of the technical condition of the safety of buildings by means of neural networks. The implementation of the model of forecasting of emergency situations of complex safety of buildings is described; an estimation of efficiency of the developed model is conducted; The program-technical complex of functioning of the information system of diagnostics of the technical state of complex safety of buildings is implemented.