Based on the relationship between rockburst and microseismic event indicators, this study proposes that the risk of rockburst in mine working faces, roadways, and even the entire mine should be studied through the “double high” risk evaluation of microseismic events. The 43 evaluation indexes of rockburst were optimized into eight indexes by using the expert scoring method. Considering the eight indexes as the basic events and the “double high” risk of microseismic events as the top event, the “double high” accident tree of microseismic events was established. According to the qualitative analysis results of the accident tree, the microseismic activity evaluation index was determined, and the “double high” risk evaluation index system was constructed for microseismic events. The system included three first-level indicators and eight second-level indicators. The fuzzy hierarchical comprehensive evaluation model was used to evaluate the “double high” risk of microseismic events in the Yanbei Coal Mine. In this paper, a microseismic monitoring and evaluation index model is constructed to simplify the existing evaluation system, which is convenient to effectively establish the connection between microseismic monitoring data and rockburst index and provide important theoretical support for underground monitoring and rockburst prevention.

As coal mining depths increase, rockbursts pose a significant threat to the safety of coal mine operations. Addressing the challenge of safely and steadily advancing excavation faces amid rockburst hazards, this study assesses the current state of reinforcement support technology for rockburst-prone roadways. It scrutinizes the concept of roadway anti-rockburst hydraulic support, support design, and the integration with the surrounding rock mass. The research delineates key directions for enhancing support systems, including the mechanical mechanisms of anti-rockburst hydraulic support, integrated roadway and support design, the synergistic pressure-equalizing effect of primary supports and bolts(cables), and the development of robotic systems for roadway anti-rockburst hydraulic support reinforcement. We propose an integrated design approach that holistically addresses both primary and reinforcement support in rockburst-prone roadways. To tackle the challenge of handling hydraulic supports in confined spaces, we developed a gantry hydraulic support system capable of self-movement with mechanical arm assistance for anti-rockburst hydraulic support. Field trials demonstrate that this system enables cyclical support advancement and retraction, automating and intelligently managing the underground advanced support sector. This innovation significantly reduces worker numbers and labor intensity, enhancing operational safety and efficiency. Furthermore, the system facilitates permanent support via bolt drilling under hydraulic protection, effectively mitigating the risks associated with unstable temporary roadway support and unsafe working conditions without proper roof coverage, thereby ensuring the secure and efficient operation of mining face.

Coal mine disaster prevention is a fundamental course within mining engineering and coal mine safety engineering curricula. Given the complexity and variability of coal mine disasters, it is crucial to cultivate students’ practical awareness to address the challenges encountered in this field. Virtual reality (VR) technology, with its highly realistic and reusable virtual environments, reduces the resource consumption required for on-site training. Additionally, it offers an effective solution for students to safely and efficiently understand coal mine disasters, master the common types of disasters and their causes, and enhance immersive learning, practical skills, and emergency response capabilities. This study integrates virtual simulation experiments with course content and utilizes VR technology to simulate mine environments and disaster processes, which allows students to experience disaster events in a safe virtual setting. By incorporating embodied cognition theory and VR gesture technology, an interactive learning system is developed to improve students’ learning efficiency and engagement. The results indicate that applying VR technology to teaching coal mine disaster prevention and control significantly stimulates students’ interest and facilitates a comprehensive, intuitive understanding of the causes, characteristics, and prevention measures associated with coal mine disasters. Employing virtual reality technology in education not only enhances the students’ awareness of coal mine safety but also provides strong support for the sustainable development of coal mine enterprises.

Acid fracturing is essential in enhancing recovery efficiency, especially within carbonate reservoirs. Although extensive studies have been conducted on hydraulic fracturing, understanding the intricate dynamics between acid–rock reactions and fracture propagation in heterogeneous layered reservoirs remains limited. This study employs a comprehensive coupled hydro-mechanical-chemical flow framework to investigate acid fracturing processes in layered geological formations. The model incorporates a two-stage homogenization approach to account for rock heterogeneity, a dual-scale continuum framework for fluid flow and acid transport, and a phase field method for examining fracture propagation. We thoroughly examine how treatment parameters, particularly acid concentration and injection rate, affect fracture propagation modes. The analysis identifies three distinct propagation patterns: crossing, diversion, and arresting. These are influenced by the interplay between pressure buildup and wormhole formation. Initially, higher acid concentration aids in fracture crossing by lowering the peak pressure required for initiation, but excessive concentration results in arresting because it causes extensive wormhole development, which reduces fluid pressure. Similarly, the injection rate plays a crucial role in fracture movement across layer interfaces, with moderate rates optimizing propagation by balancing pressure and wormhole growth. This comprehensive modeling framework serves as a valuable prediction and control tool for acid fracture behavior in complex layered formations.

Under emerging engineering education (3E) initiatives, mining engineering education faces industrial upgrading challenges as traditional models lag in cultivating innovative talent. This paper focuses on science and technology competition-driven optimization, identifying key issues: outdated objectives/curricula, weak practical training, and faculty/methodology gaps. Analyzing competition-education synergies, it proposes strategies: embedding competition elements into courses, developing specialized electives, and creating diverse assessments. Measures include converting competition projects into practical tasks and enhancing university-enterprise practice bases. Empirical evaluation-via student work analysis, academic performance comparison, and faculty adjustments-validates improved teaching quality and student professional competence. This framework offers a robust model for mining engineering education reform.