Innovation in Management and Production Organization through Artificial Intelligence (AI) Application in Underground Coal Mines in Quang Ninh Region

Abstract

Artificial Intelligence (AI) is emerging as a key technology to address systemic challenges in the mining industry, ranging from operational optimization and cost reduction to enhancing worker safety and environmental protection. Despite its proven potential, the large-scale adoption of AI in underground coal mining remains limited due to high investment costs, lack of supportive policy frameworks, and the industry’s cautious approach to technological transformation. Overcoming these barriers requires close collaboration between enterprises, regulatory bodies, and academic institutions, alongside the development of a digitally skilled workforce and the promotion of a responsible innovation culture.

In the context of underground coal mines in Quang Ninh – the largest coal-producing region in Vietnam – management models remain dominated by traditional approaches, manual operations, and limited automation. This study analyzes the current status of management and production organization in the region’s coal mining enterprises. Based on the findings, the paper proposes an AI-based management and production model aimed at improving productivity, ensuring occupational safety, and advancing sustainable development. Furthermore, a practical roadmap for AI implementation in underground coal mines of Quang Ninh is introduced, tailored to the specific conditions of local enterprises.