Investigation of parameters recorded by the monitoring system of an engineering structure using big data analysis methods
The paper presents the results of analysis and processing with the help of the mathematical apparatus of the "science of big data" of information received in the monitoring system of the stress-strain state of a marine engineering structure. For data analysis, the machine learning procedure with a teacher is used, various machine learning models are considered. An example of the analysis of the results of the monitoring system of the stress-strain state of an offshore oil production platform is given. Options for optimizing the system are proposed - reducing the number of sensors under consideration. Mathematical models have been created to restore the values of specially excluded sensors, as well as to build short-and long-term forecasts. With the help of big data analysis, new information has been obtained that is suitable for practical and scientific purposes.