Predictive analytics as a tool for minimizing and preventing emergencies at capital construction facilities

Abstract

The article raises the problem of using predictive analytics to minimize and prevent emergency situations at capital construction sites at stages of the life cycle. The concept and procedure for carrying out current and major repairs of an object are defined, the main regulatory documents in the area under study are reviewed, and the need for a transition from scheduled repairs to repairs as needed is substantiated, i.e. to reduce risks and prevent emergency situations at capital construction projects, it is necessary to carry out a systematic transition from capital repairs according to standard deadlines to repairs based on the actual state of structural elements and create a mechanism for flexible adjustment of capital repair programs, which will allow timely repairs of objects in a worn-out condition. Emergency situations are analyzed by nature and type of sources of occurrence in 2022, as well as in comparison to 2021. The prospects for using predictive analytics to minimize and prevent emergency situations at capital construction sites are considered.