Fully-mechanized excavation safety control method based on AI identification

The invention discloses a fully-mechanized excavation safety control method based on AI identification, and the method specifically comprises the steps: completing the autonomous positioning and navigation, autonomous cutting, remote control and one-key start and stop functions of excavation equipment through an underground remote control center, collecting the operation data of the equipment, and transmitting the operation data to a ground remote monitoring center in real time through an underground looped network; parameters of tunneling equipment are set, the condition of a tunneling working face is monitored in real time through a ground remote monitoring center, and corresponding protection and early warning are set according to environmental parameter thresholds. Data interaction is carried out on a ground control monitoring center and an underground control monitoring center based on an underground looped network, driving working face data are transmitted in real time through the Ethernet, the number o