Open AccessImproving the reliability of the results of automated forecasting of emissions in geotechnical systems based on the bifurcation approach
Author(s) -
Nikolay V. Dorofeev,
R V Romanov,
А В Греченева,
E. S. Pankina
Publication year - 2020
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/862/5/052070
Subject(s) - reliability (semiconductor) , geotechnical engineering , stability (learning theory) , environmental science , civil engineering , engineering , reliability engineering , computer science , machine learning , power (physics) , physics , quantum mechanics
To improve the reliability of the results of automated forecasting of anthropogenic emissions into the geological environment, an adaptive algorithm for spatial and temporal information processing of geotechnical monitoring data is developed in this article. The algorithm allows us to assess the trend in the stability of the geotechnical system during the bifurcation. For early detection of negative changes and identification of mechanisms for assessing the transformation of the geotechnical system during the bifurcation period, the parameters of the data collection and processing are changed in the algorithm. These parameters change depending on the selected key zones of components of the geotechnical system, where tehnogenic emissions occur, and when the values of controlled parameters of the technical condition of construction objects exceed the limits.