The paper presents a methodology for training neural networks for vision tasks on synthe-sized data on the example of steel defect recognition in automated production control systems. The article describes the process of dataset procedural generation of steel slab defects with a symmetrical distribution. The results of training two neural networks Unet and Xception on a generated data grid and testing them on real data are presented. The performance of these neural networks was assessed using real data from the Severstal: Steel Defect Detection set. In both cases, the neural networks showed good results in the classification and segmentation of surface defects of steel workpieces in the image. Dice score on synthetic data reaches 0.62, and accuracy—0.81.

The article presents a study of implementations of information technologies for energy saving. The study provides an analysis of cloud platforms used in the energy sector. Most platforms are used to increase equipment load factors, diagnose it, or integrate the energy infrastructure of individual systems into large systems. The article discusses the role of man in the process of improving energy efficiency. As a result of the research, it is found that the user's connection to energy saving will act as a significant motivation. The proposed cloud platform focused on the personalization of energy actions will create the prerequisites for the formation of a smart consumer. The article describes the structure and functionality of the system. As a result of the platform implementation, the user will be able not only to reduce his bills for energy, but to see the real effect of his actions in the overall balance.

Prospects of ecological technologies development in the Russian oil industry have been developed in the paper. Reducing the negative impact on the environment is inextricably linked with the development of applied technologies. On the basis of scientific, systematic and comparative analysis we have identified major environmental issues arising from extraction, processing and use of oil and the directions of their solution. The greatest negative impact on the environment is provided by such factors as sludge formation, burning of associated gas, increased accident rate and the use of fuel oil. A number of problems in the field of environmental safety in the oil industry may be avoided by using innovations. In this work, we have assessed the prospects for reducing the negative impact on the environment through the application of modern engineering solutions in the field of ecology. In order to reduce environmental impacts and economic costs, it is primarily proposed to develop technologies in the area of safe waste management, modernization of treatment facilities and prevention of oil and oil products spills.