The mining sector is on the brink of a technological revolution, particularly in coal preparation plants, where intelligentization is becoming a cornerstone for high-quality development. A recent study published in ‘矿业科学学报’ (Journal of Mining Science) spearheaded by WANG Meijun from the School of Management at China University of Mining and Technology-Beijing, outlines a strategic framework for this transformation.
The research emphasizes that the intelligent construction of coal preparation plants is not just a technological upgrade; it is a necessity driven by the industry’s need for efficiency and sustainability. “The core of our study is to establish a comprehensive technical architecture that supports the digital transformation of coal preparation plants,” says WANG. This architecture, referred to as CNSASSM, is built on a layered model that focuses on five critical competencies: thorough perception, deep interconnection, autonomous learning, intelligent application, and global coordination.
As the industry grapples with increasing pressures to optimize operations and reduce environmental impacts, the study delineates a clear pathway for implementing intelligent technologies. The approach is structured in phases, beginning with the integration of standard coal preparation data, progressing to the development of business optimization algorithms, and culminating with the application of advanced artificial intelligence models. This phased strategy not only provides a roadmap for coal preparation plants but also highlights the importance of capability maturity in achieving these goals.
The implications for the mining sector are profound. By adopting these intelligent strategies, companies can expect to enhance operational efficiency, lower costs, and improve decision-making processes. “Our findings serve as a guideline for the technical realization of intelligent construction, which can significantly influence the future of coal preparation,” WANG notes.
As the mining industry moves towards smarter operations, the research underscores the potential for creating intelligent factories that leverage data governance and top-level design. This shift is not merely about technology; it is about reshaping the industry’s future to meet the demands of a changing market and regulatory landscape.
For those interested in the cutting-edge developments in mining technology, the full study can be found in the Journal of Mining Science, a publication that continues to highlight significant advancements in the field. For more information on WANG Meijun’s work, you can visit the School of Management, China University of Mining and Technology-Beijing.
