Analysis of Methods for Integrating Machine‑Learning Models into SCADA Systems

Abstract

Analysis of Methods for Integrating Machine‑Learning Models into SCADA Systems

Nikitin N.V., Frasyn P.G., Masanov D.V.

Incoming article date: 04.04.2025

The article discusses approaches to the systematic analysis of historical data collected from water treatment facilities. By using tools from mathematical statistics, machine learning methods, and visual analysis techniques, the article proposes a formalized approach to assessing the efficiency of water treatment equipment. This approach makes it possible to identify hidden patterns in the data, build robust models of interdependencies, and develop recommendations for optimizing the technological process.

Keywords: water treatment, telemetry data, time series analysis, machine learning, equipment efficiency