Development of a methodology for analyzing big data in order to predict changes in the phases of the life cycle of elements of engineering equipment of buildings and structures

Abstract

Introduction. Big data analysis technologies are the basis for the development of the information society. Storage and processing of "Big data" requires significant expenditures of computing power, expensive data storage systems. In the field of construction, the main source of "Big data" is the technology of "Smart home" and "Smart city". The development of a methodology for analyzing big data is aimed at reducing the cost of operating elements of engineering equipment, timely maintenance, with the aim of trouble-free operation. The presented analysis technique can be extended to any piece of equipment that collects data on its operation and condition.
 Materials and methods. Used data from open sources. The data for analysis were obtained from the management company Yuzhny LLC. The subject of the study is an electric ball valve. Preparation and visualization of information was carried out using Microsoft Office Excel.
 Results. The developed methodology for analyzing big data in order to predict changes in the phases of the life cycle of elements of engineering equipment of buildings and structures, according to the results of a preliminary analysis, showed its efficiency. High performance in the task of identifying defective products was demonstrated by the method using Shewhart's Control Charts. The use of cluster and qualimetric analysis methods in scenarios unusual for them made it possible to predict the change in the life cycle phases with an accuracy acceptable for research problems.
 Conclusions. The analysis technique is based on the use of modern algorithms. Algorithms themselves are often used to process big data.
 The scientific novelty lies in the approach to analysis, in which, unlike classical schemes, where cluster and qualimetric methods of analysis are used to find the best management solution, in this work, the purpose of the analysis is to search for equipment items close to a change in the phase of the life cycle.