With the increasing depletion of mineral resources, underground mining has become the primary choice for mine development. However, underground mining faces a major challenge. Specifically, the working environment requires a continuous supply of fresh air from the surface, while production activities such as blasting, mucking, and equipment operation constantly generate dust, carbon monoxide, nitrogen dioxide, and other toxic and hazardous gases. In underground mines, the ventilation process is utilized to remove toxic and hazardous gases, supply fresh air to working areas, regulate the underground climate, and improve the working environment for staff. Its operational efficiency directly affects personnel safety and production continuity. Mine ventilation serves as a critical foundation for underground mining safety. However, traditional ventilation systems are characterized by high energy consumption, low efficiency, uneven airflow distribution, maintenance challenges, and safety risks. It is urgent to implement the intelligent control system for on‐demand ventilation in mines to upgrade the ventilation system of mines and achieve efficient ventilation on demand. Based on this context, the implementation scheme of an intelligent control system for on‐demand ventilation in mines was investigated. The architecture and methods for intelligent control were examined across five layers: equipment layer, control layer, algorithm layer, platform layer, and application layer. Algorithmic models and mechanistic models were established, and advanced technologies, including industrial control, information networks, and digital twins, were applied to construct the intelligent control system for on‐demand ventilation in mines. The system effectively addressed issues of low ventilation efficiency and uneven airflow distribution. Data‐driven algorithmic solutions were implemented for energy management, safety hazard control, and predictive maintenance, providing technical support for developing intelligent, safe, and low‐carbon mines.