ABSTRACT
Borodynia V.V. Intelligent Information System for diagnosing the technical
condition of buildings. - Qualifying scientific work on the rights of the manuscript.
The thesis for a scientific degree of the doctor of philosophy in specialty 126.
"Information systems and technologies". - Kyiv National University of Construction
and Architecture. - Kyiv, 2021.
The main content of the thesis
The thesis is devoted to the solution of an important scientific task of
development of Intelligent Information System of diagnostics the technical condition
of buildings. The theoretical and methodological basis of research are the principles
of the Artificial Intelligence Theory, the Fuzzy Sets Theory, the Structures Theory,
the Reliability Theory, the Theory of Reinforced Concrete, Expert Evaluation
Methods, and Analytic Hierarchy Process.
For the first time:
- The methodology of construction and hierarchical structure of the
organization of expert knowledge for fuzzy expert system of an estimation of a
technical condition of building constructions of mass construction which includes
information universality and possibility of expansion by means of ontological system
analysis were developed;
- Mathematical models for the formalization of expert data on the features of
the technical condition of structures (to construct the membership function values of
controlled parameters to linguistic estimates) were developed.
- The analytical tools to increase the efficiency of Intelligent Information
System for diagnosing the technical condition of buildings based on Artificial neural
networks, which allowed to develop the information technology for monitoring and
qualitative assessment of certain technical condition of building structures and
buildings in general, to determine the system of organizational, technological and
material decisions on further safe operation of buildings were proposed.
The reliability of the research results is confirmed by the correct use of
mathematical apparatus to build models and methods of their implementation, the
results of effective experimental computer researches that confirm the efficiency of
the proposed models and methods that determine qualitative assessments of
Intelligent Information System for diagnosing the technical condition of buildings.
Theoretical and practical significance of the work.
The theoretical significance of the work is to develop a mathematical model to
identify the category of technical condition of building structures (on the example of
reinforced concrete elements, which are bent) on the fuzzy initial data of the survey.
The developed mathematical model, based on the apparatus of Fuzzy Sets Theory, is
universal and can be used to estimate other types of structures from different
materials, taking into account their features.
The practical significance is in the possibility of using the developed algorithms
and programs to increase the efficiency, validity and reliability of the decision on the
technical condition of the building structure we are evaluating.
The results of the thesis were used in the educational process of Kyiv National
University of Construction and Architecture (reference from 20.09.2021 №213) in
teaching the discipline "Methods of operations research" and in developing of
methodological support of the educational process for specialty 126 "Information
Systems and Technologies".
Approbation of thesis results. The main results of scientific research have been
repeatedly reported, discussed and received positive reviews at scientific conferences,
in particular: I All-Ukrainian scientific-practical conference of young scientists,
graduate students and students "BUD-MASTER-CLASS-2019" (Kyiv, 2019);
scientific and technical conferences at the State Enterprise "Research Institute of
Construction Production" of the Ministry of Regional Development of Ukraine, topic:
"Survey, assessment of the technical condition of complex safety of buildings and
structures in modern conditions at the level of information technology", 2017, 2018,
Kyiv, SE "NDIBV".
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Keywords: artificial intelligence, building, expert system, diagnostics of
technical condition, information intelligent system, fuzzy models and methods,
structures.
