The invention discloses a
coal mine dust
diffusion simulation and control method based on
artificial intelligence, and relates to the technical field of
coal mine dust
diffusion simulation and control, and the method comprises the following steps: collecting
environmental data such as dust concentration, ventilation flow velocity, temperature,
humidity and equipment operation state through a
monitoring system in a
coal mine; and cleaning and formatting
processing are carried out in combination with historical working condition data. According to the method,
reinforcement learning and virtual extreme scene
simulation are utilized, the recognition and
emergency response capability of the
system to edge working conditions is improved, dust
diffusion and explosion risks are effectively reduced, and
mine safety is guaranteed. By dynamically adjusting the ventilation and water spraying
system, efficient utilization of resources is achieved,
energy consumption and operation cost are reduced, and the service life of equipment is prolonged. The
system has an
adaptive learning capability, can optimize a control strategy according to
monitoring data and historical events, can automatically adjust even if the environment changes, improves robustness and flexibility, and reduces manual intervention.