Abstract
Modern technologies have developed quite well lately, and in addition to the banal data collection and processing, modern algorithms are able to predict the behavior of equipment and prevent the occurrence of malfunctions and failures in advance and take actions to reduce the likelihood of an accident and warn the relevant employees. Within the framework of this study, the authors proposed the development of a web-application for the analysis and visualization of data from UK-TPP to ensure the safety of technological processes. Ust-Kamenogorsk TPP is a regional thermal power plant, heat and electricity generation covers 80% of the load of the housing and communal sector of the city and industrial enterprises. The TPP is part of the unified energy system of Kazakhstan. The application being developed has a web interface that will display and visualize data from the main sensors and instruments of the UK TPP, as well as prevent equipment malfunctions and analyze the behavior of sensors using machine learning. Node.js was chosen as the main software platform used, built on the java script programming language, using additional modules that expand the capabilities of this programming language, written in c ++, which speeds up working with data arrays, receiving, and sending them.