This invention relates to the fields of intelligent manufacturing and computer-aided inspection technology, and particularly to a
system for constructing and reasoning a
knowledge base for precision
machining geometric error inspection operators. The
system includes a feature
parsing module, used to read a 3D
solid model containing product geometric
technical specifications, extract geometric surface features and associated tolerance specifications from the model, wherein the tolerance specifications include tolerance thresholds, and convert the geometric surface features and tolerance specifications into semantic ontology instances, outputting a set of element instances. In this invention, by automatically
parsing the geometric features and geometric tolerance
semantics in the 3D
solid model, and combining this with actual
point cloud data obtained from on-
machine measurement for error assessment and reverse calculation of compensation parameters, a closed-loop mapping from design tolerance
semantics to CNC
system compensation instructions is achieved. This enables the
machining equipment to automatically correct the tool position and coordinate system offset based on actual inspection results, thereby improving the
machining accuracy and consistency of parts.