The application discloses a coffee
robot mechanical arm control method and
system based on a
knowledge graph, relates to the technical field of mechanical arm control, and aims to solve the technical problems that in the prior art, displacement deviation of mechanical joints and offset of matching points are prone to cause coffee spilling, and low coordination efficiency between an execution end and a controlled object further aggravates operation failure, specifically, overall
system covers execution end stability monitoring, executed end matching degree analysis, double-end
fault tolerance fusion judgment, and abnormal operation
traceability regulation, from mechanical action deviation, container positioning error to material spilling and process
abnormality, and through threshold comparison and
trend analysis,
early prediction and real-time intervention are realized, so that the probability of coffee production failure is significantly reduced; taking the
knowledge graph as the core, not only can execution logic be updated based on real-
time data, but also can environment and
raw material parameter
traceability abnormal inducement be combined to realize dynamic
adaptation of "equipment aging
adaptation-process adjustment compatibility-
raw material change response".