The invention belongs to the technical field of water meter
assembly. The invention provides a single-
workbench water meter
assembly method and
system based on body intelligence. A four-layer framework of
perception, prediction, planning and execution is adopted. The sensing module outputs a water meter part state and a structured scene map based on the 3D scene reconstruction network; the prediction module generates
collision risk and
assembly execution time prediction based on the Transform multi-task sequential network; the planning module generates an optimal assembly action sequence through hierarchical
reinforcement learning; and the execution layer executes operation in a position-force
hybrid control mode, and feeds back data in real time to form a
closed loop. According to the scheme, the problems that traditional manual assembly is low in efficiency and existing automatic equipment lacks self-
adaptive capacity are solved, the defects that sudden working conditions are difficult to deal with and multi-model
adaptation is poor are overcome, the assembly efficiency and consistency are improved, manual intervention is reduced, assembly interruption and part damage are avoided, and flexible
automation of the whole water meter assembly process is achieved.