Open AccessOn the Question of Reducing Technogenic Risks of Accidents in the Technical Systems of Buildings and Structures
Author(s) -
А С Глуханов,
E. A. Biryuzova
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1079/4/042096
Subject(s) - operability , reliability engineering , computer science , reliability (semiconductor) , interval (graph theory) , parametric statistics , risk analysis (engineering) , industrial engineering , systems engineering , engineering , mathematics , statistics , medicine , power (physics) , physics , quantum mechanics , combinatorics
The necessity of making changes to the functionality of a structured system for monitoring and managing engineering systems of buildings and structures is justified. An approach to modernizing the algorithmic support of a structured system for monitoring and managing engineering systems of buildings and structures is proposed in order to identify failures that lead to emergency situations at an early stage of their occurrence. The main features of the structure and application of technical systems of objects of various purposes, essential for the analysis of their technical condition, are determined. The necessity of developing and implementing a system for managing the technical condition of the studied systems is justified. A model for monitoring the operability of engineering systems of buildings and structures has been developed. The use of parametric statistics methods as a basis for the development of performance monitoring algorithms is justified. Regression equations are constructed as algebraic polynomials of various degrees, which are also the simplest combinations of elementary functions. Regression dependences of the monitored parameters of the diagnosed engineering systems on input influences are determined. Lists of these parameters are defined. The dependence of the reliability of determining the technical condition of engineering systems on the value of the confidence interval of the measured parameters was determined by numerical experiment. An algorithm for determining regression dependencies and a block diagram of the proposed algorithmic support are presented.