In the heart of Siberia, a groundbreaking technological process is poised to revolutionize the coal mining industry, promising enhanced safety, automation, and efficiency. The research, led by Dr. Cherkasov P.V. from the Federal Research Centre of Coal and Coal Chemistry of the Siberian Branch of the Russian Academy of Science and T.F. Gorbachev Kuzbass State Technical University, delves into the intricacies of longwall top coal caving, a method increasingly adopted worldwide for mining high-power coal deposits.
The study, published in the journal ‘Горное оборудование и электромеханика’ (translated as ‘Mining Equipment and Electromechanics’), focuses on a critical aspect of the mining process: the displacement of rock mass by the feeder of the support section and its subsequent loading onto the downhole conveyor. This technological operation is pivotal for the extraction of particularly valuable coal grades and ensuring minimal human presence in the face, a factor that significantly improves mining safety.
Dr. Cherkasov and his team employed a system-functional approach to analyze and model the technological process. This method allowed them to define, structure, and systematize the functional blocks that control impacts and resources, as well as the mutual influence of the output parameters of the coal production process. “Our system-functional modeling has provided a comprehensive understanding of the technological process, enabling us to optimize and control the extraction more effectively,” Dr. Cherkasov explained.
One of the most innovative aspects of this research is the development of a stand structure for measuring the volume of rock mass produced using machine vision and projection of a grid of laser lines. This technology is particularly robust, capable of measuring the volume of rock mass under challenging conditions such as varying illumination, humidity, and dustiness. “The machine vision system we’ve developed can accurately measure the volume of rock mass, even in the harshest mining environments,” Dr. Cherkasov added.
The implications of this research for the energy sector are substantial. By enhancing the efficiency and safety of coal extraction, this technology can contribute to more sustainable and cost-effective coal mining operations. The high degree of automation and minimal human presence in the face not only improves safety but also reduces operational costs, making coal mining more competitive in the energy market.
Looking ahead, this research could shape future developments in the field by inspiring further innovations in automation and machine vision technologies. As the energy sector continues to evolve, the need for efficient and safe mining practices will only grow, and this study provides a solid foundation for meeting those needs.
In the words of Dr. Cherkasov, “Our work is just the beginning. The potential for further advancements in this field is immense, and we are excited to be at the forefront of this technological revolution.” As the world watches, the Siberian research team continues to push the boundaries of mining technology, paving the way for a safer, more efficient, and sustainable future for the energy sector.