A Framework of Distributed Hydraulic Support Control System Based on Multi-Agent Systems

As a vital energy source, coal mines are essential to the energy industry. However, the process of fully mechanized coal mining is notoriously harsh, which poses significant challenges to efficient and safe operations. In this context, hydraulic support operators play a crucial role in ensuring the stability and safety of the working face, where potential safety issues from operator errors or external interferences necessitate the adoption of smart mining practices. To address these challenges, this paper proposes a framework for a distributed hydraulic support control system based on a multi-agent system (MAS). First, by constructing this distributed multi-agent system within fully mechanized mining, the interactive relationship among hydraulic supports has been systematically delineated. Second, game theory is employed to inform decision-making regarding hydraulic support behaviors, enhancing both the autonomy and cooperation of the supports. Finally, the proposed model is analyzed and validated by maximizing the utility function, aiming to improve the efficiency and intelligence of fully mechanized mining operations. This comprehensive approach aims to ensure safer and more efficient coal mining practices through advanced technology integration and strategic decision-making.