Integration of digital technologies into the design process of power supply systems for mining enterprises
Автор: Petrov V.L., Burmatova E.K., Pichuev A.V.
Журнал: Горные науки и технологии @gornye-nauki-tekhnologii
Рубрика: Энергетика, автоматизация и энергоэффективность
Статья в выпуске: 4 т.10, 2025 года.
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The study focuses on the development of an integrated software solution for the automation of power supply system (PSS) design for industrial enterprises. The relevance of this work arises from systemic issues observed in existing software packages, such as fragmented design processes, the need for repeated manual data transfer between different platforms, dependence on specific manufacturers’ equipment, and the lack of universal component selection tools. The research included a comprehensive analysis of current approaches to PSS design, the development of new automation methods, and the creation of algorithms for calculating electrical loads and selecting equipment. The methodological framework was based on regulatory standards and the principles of modular architecture, implemented in C# with integration into BIM platforms (nanoCAD) and spreadsheet processors (Excel). The key result is the creation of digital software that automates data collection from BIM models, calculation of electrical loads and short-circuit currents, and selection of PSS components. Practical testing on the power supply project of the Kumroch gold processing plant demonstrated an 80% reduction in manual operations, improved calculation accuracy, and independence from specific equipment manufacturers. The developed software solution effectively eliminates the main shortcomings of existing analogues by providing an end-to-end automated design process, which significantly enhances the efficiency, accuracy, and flexibility of design activities in the context of power sector digitalization.
Mining enterprises, digital technologies, electrical systems, power supply systems, design, digitalization, software, digital transformation, design automation
Короткий адрес: https://sciup.org/140313245
IDR: 140313245 | УДК: 622:621.311 | DOI: 10.17073/2500-0632-2025-09-461