Deep-level mine temperatures remain survivable due to ventilation and cooling engineering
the verdict
SUPPORTED
the evidence backs this
confidence 75/100
Mining engineering studies demonstrate that advanced ventilation on demand, optimized refrigeration, and airflow control systems successfully manage thermal challenges to maintain survivable temperatures in deep-level mines.
Evidence for · 4
Integrating Artificial Intelligence into Ventilation on Demand: Current Practice and Future Promises.
2026 · cited by 0
Paper [4] reviews Ventilation on Demand systems utilizing AI to dynamically manage airflow and improve safety and efficiency in deep mines.
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More for · 3
Intelligent decision-making for mine ventilation systems based on graph neural network and deep reinforcement learning fusion.
2026 · cited by 0
Paper [5] demonstrates that integrating graph neural networks and deep reinforcement learning into mine ventilation significantly reduces energy consumption and ensures safety compliance.
Integration of Environmental Sustainability Principles and Climate Change Adaptation Measures in Energy Optimization at Gold Mining Operations, South Africa's Free State Operations.
2026 · cited by 0
Paper [8] finds that gold mining operations successfully manage intensified thermal stress and cooling demands through the adoption of optimized refrigeration and advanced ventilation systems.
Study on the change rule of airflow temperature field in ultra-deep mining shaft.
2025 · cited by 0
Paper [10] analyzes airflow temperature fields in ultra-deep mining shafts, laying the necessary theoretical foundation for effective ventilation and cooling engineering.