INTEGRATION OF BIG DATA TECHNOLOGIES INTO RUSSIAN COAL MINING INDUSTRY: OPTIMIZATION OF PRODUCTION, IMPROVEMENT OF SAFETY AND SUSTAINABILITY

Аннотация

Introduction. The Russian coal mining industry plays a key role in the country's energy security, but it faces serious challenges in terms of productivity, occupational safety, and environmental sustainability. Integration of big data technologies offers a promising solution to these challenges, but their implementation in the Russian context has not been sufficiently studied. This study aims to develop and evaluate the efficiency of an integrated coal mining management system based on big data technologies in conditions of the Russian coal industry. Methods. The study included the development of a big data system architecture adapted to the specific features of the Russian coal mining industry using the Apache Spark engine. The system was integrated with the existing infrastructure at five pilot companies. Its efficiency was evaluated through a comparative analysis of the production, economic, environmental, and occupational safety indicators before and after the system's implementation over an 18-month period. Predictive analytics and machine learning methods were used to optimize production processes and to predict risks. Results. Implementation of the system resulted in a 15-20% increase in the labor productivity, a 10-12% reduction in the production costs, and improved product quality. The level of occupational injuries decreased by 30%, while the frequency of emergencies decreased by 25%. The environmental indicators have improved, i.e. the emissions of harmful substances were reduced by 18%, and the resource utilization efficiency went up by 8-10%. Discussion. The results demonstrate a significant potential of big data technologies for a comprehensive improvement of the efficiency, safety, and environmental friendliness of the Russian coal mining industry. The developed system can serve as a basis for a large-scale digital transformation of the industry. Further research is needed to assess the long-term effects of implementation and to develop industry standards for application of big data technologies in coal mining.

Ключевые слова

Big data, coal mining industry, production optimization, industrial safety, environmental sustainability, predictive analytics, digital transformation.

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