Tunnel face partitioning method based on multi-source information and related equipment

The invention provides a tunnel face partitioning method based on multi-source information and related equipment. The tunnel face partitioning method based on the multi-source information comprises the steps that S100, point cloud information of a plurality of scanning points of a to-be-blasted area is obtained through a laser scanning device, and first area frame data are obtained through clustering processing on the point cloud information; step S200, acquiring image information of the to-be-blasted area by using a visual acquisition device, and obtaining second area frame data through the abnormal area detection model; and step S300, obtaining a similarity score of the first area frame data and the second area frame data, and when the similarity score is not less than a first preset similarity score, obtaining blasting partition data based on the point cloud information and the first area frame data, the blasting partition data being used for partition of the tunnel face. The blasting partition data is obt