Abstarct:   Ventilation is one of the most critical principles in underground mining, directly affecting the health of workers as well as the performance of equipment and machinery. In coal mines, due to the presence of flammable and toxic gases and the risk of spontaneous combustion of coal, ventilation becomes even more crucial. Proper ventilation design, in light of these specific conditions, carries its own challenges and significance. This thesis focuses on the analysis and design of an intelligent ventilation system for the Galanderoud coal mine, located in Mazandaran Province. In underground mines, especially coal mines, proper ventilation is essential due to the presence of toxic and flammable gases. The primary objective of this research is to provide an optimal solution for improving environmental conditions and enhancing worker safety. Initially, using manual or computational methods, the required air volume for ventilating the mine tunnels was calculated. The results indicated that Tunnel 6 requires 562 cubic meters per minute of air, and Tunnel 8 requires 624 cubic meters per minute. Subsequently, the mine network was simulated using the VENTSIM software baxsed on the measured and obtained data. A comparison between the results from both methods showed discrepancies ranging from -1.6% to 1.04% in different sections of the network. Furthermore, an intelligent ventilation system was designed and proposed, which includes environmental sensors, intelligent controllers, and an artificial neural network. This system can automatically monitor key environmental parameters such as temperature, humidity, and harmful gas concentrations. The findings of this study demonstrated that the intelligent ventilation system significantly improves mine safety and ventilation efficiency. Additionally, it reduces dust and toxic gas levels, mitigates air pollution risks, and lowers the incidence of respiratory diseases among workers. The system also contributes to energy optimization and reduces the likelihood of mining accidents.