The effectiveness of fly ash from the Novo-Irkutsk Thermal Power Plant and ash and slag mixtures from Thermal Power Plant-10, formed during the combustion of solid fuel fossils of JSC Irkutskenergo, in the composition of cements with low water demand has been shown. The chemical composition and physical and technical properties of this waste have been determined. The grindability was studied and the specific energy consumption of cements with different ash contents (30-70%) was calculated. It has been established that low-water-demand cements with fly ash and ASM are not inferior to Portland cement in technological and physical-mechanical indicators, and can be recommended for use in construction.

Keywords: large-tonnage waste, ash and slag mixtures, grindability, low water demand cement, superplasticizer, joint grinding

The article is devoted to the development of a software product that analyzes the concentration of gases (H2; CO; C2H4; C2H2) measured in transformer oil and set as a function of time. Product development consists of two stages. The first step is the task of classifying transformers. The second stage is predicting reliable operation before a possible failure based on the concentrations of dissolved gases in the transformer oil set as the initial data. During the development of the software product, the frameworks for creating web applications Flask and ReactJS were used, the models were trained on the frameworks H2O.ai, LightGBM, Sklearn.

Keywords: machine learning, regression, power transformers, gas concentration, web-service