This invention discloses a three-dimensional semantic
perception and dynamic risk adaptive avoidance
system and method for
cave rescue, including a multi-
source data access module, a three-dimensional
point cloud semantic mapping module, a fracture dynamic
risk assessment module, a rescue danger
radius dynamic adjustment module, and a
robotic arm autonomous positioning and navigation module. Through synchronous acquisition of multi-
source data, geometric-texture joint
feature extraction, rock
mass semantic segmentation and static
risk assessment, fracture dynamic evolution prediction, dynamic and static risk fusion cost map construction, danger
radius adaptive optimization, and low-risk path planning and dynamic replanning of the
robotic arm, it achieves fully closed-loop
intelligent control from front-end
perception to back-end execution in
cave rescue scenarios. This invention solves the problems of single
spatial perception dimension, insufficient fusion of dynamic and static information, delayed risk response, and fragmented data chains in existing technologies, significantly improving the safety, timeliness, and success rate of
cave rescue, and is applicable to
emergency rescue scenarios such as cave collapses and
underground space disasters.