This invention discloses a
fully automatic control system for a gantry
crusher, relating to the field of
bulk material handling technology. It aims to solve the problems of low efficiency, poor accuracy, significant safety hazards, and inability to adaptively iterate when manually or semi-automatically handling clogging of ore bins. The
system integrates dual sensing devices:
LiDAR and a 3D camera. The
LiDAR scans to acquire 3D point clouds, while the 3D camera captures 3D video images and combines them with AI video analysis algorithms to achieve multi-
source data fusion
processing. After extracting the 3D spatial coordinates of the clogging material through target identification, these coordinates are converted to the
robotic arm's base coordinate
system. This allows for the planning of a collision-free motion trajectory for the breaker hammer and optimization of the
impact sequence, controlling the
robotic arm to automatically execute crushing operations sequentially. The
system also integrates safety interlocks, iterative crushing cycles, and manual intervention
modes. This invention significantly reduces reliance on manual labor, improves operational continuity, intelligence, and safety reliability, and is adaptable to different specifications of gantry crushers, making it widely applicable.