Terentyev O. Integrated models and methods of automated system of diagnostics of technical condition of buildings.

Українська версія

Thesis for the degree of Doctor of Science (DSc)

State registration number

0516U000508

Applicant for

Specialization

  • 05.13.06 - Інформаційні технології

26-05-2016

Specialized Academic Board

Д 26.056.01

Kyiv National University of Construction and Architecture

Essay

Integrated models and methods of automated system of diagnostics of technical condition of buildings. Goal - to develop integrated models and methods of automated system of diagnostics of technical condition of buildings that will improve the efficiency of the survey process and to improve the quality of decision-making for safe and forecasting and reliable operation of buildings. Research methods: systemic analysis, mathematical modeling, structural modeling, fuzzy sets, neural networks.. Research results: first: the proposed methodological framework for building information systems of diagnostics and forecasting of technical state of buildings, which are considered from the perspective of strategic information management, and therefore include three main tasks: planning, i.e. the creation of a single information database, which would give the opportunity to compare the results of the surveys, to observe the dynamics of aging buildings, to systemize insights about their condition; the task of monitoring the technical condition in terms of its long-term operation; the task of forecasting the timing safe and reliable operation of buildings; carried out with the system approach, the formalization of the processes of wear of the structures of buildings that allows the creation of efficient and reliable analytical apparatus for condition monitoring and diagnostics of future conditions in the process of their reliable and safe operation; built using the apparatus of fuzzy sets, integrated mathematical models and methods of monitoring of a technical condition of buildings, which summarize the processes of recognition of the damage to the structures of buildings constructed from different materials and defects of different nature; the mathematical model by means of artificial neural network diagnosis of future conditions of operation of structures of buildings subject to the fulfillment of quantitative and qualitative indicators, which are dictated by the position of regulations, "survey, certification, safe and reliable operation of buildings and constructions"; improved: the system and methods of risk management analysis when making expert decisions in various stages of diagnostics of technical condition of buildings, for temporary operational phases within their life cycle; information technology for the diagnostics of technical condition of buildings, as the technology that implements the solution of system tasks of strategic management information; a further development of: intelligent information system technology decision support, which is based on the intellectualization of powerful analytical tools that allow experts to make a more plausible assessment and management decisions; analytical tools to assess the prediction of decisions on the choice of the model structure in terms of automatic control of process of diagnostics of technical condition of buildings, which gives the opportunity to compare the results; method of solving system problem of predicting the qualitative and quantitative indicators of damages and defects of buildings based on analytical neironalnogo apparatus that gave the opportunity to develop the information technology structure of the diagnostic system and to provide reliable information support to its functional elements. The main scientific results are the effectiveness of the proposed models and methods of diagnostics and forecasting of technical condition of buildings, implemented the analytical apparatus of fuzzy sets, which allows you to create a information platform for the accumulation of real, authentic and minimal loss of information to create knowledge, the greatest possible uniformity of numerical experiments, which gives the opportunity to provide effective training of a neural network, as a powerful tool for accurate and reliable diagnosis of temporal phases of building maintenance within the life cyclopropane: research papers on "Capital construction in Ukraine" (state registration No. 0110U004532), viewing DBN.1.2-1-95 regulations on the investigation of causes of accidents (calving) of buildings, constructions, their parts and structural elements" (state registration No. 0113U006567), review DBP A. 2.2-4-2003 "Position about the author's supervision over construction of buildings and structures" (GOS. Registration No. 0113U006568), the provisions of regulations, "survey, certification, safe and reliable operation of buildings and structures" (sarest. the Ministry of justice of Ukraine for No. 423/2863 from 06.07.1998).

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