In order to realize the integration of part design and error measurement, ontology wed language(OWL) technology was applied to intelligent configuration of CMM detection system to solve the problems of standardized representation of part engineering 〖JP2〗semantics based on high-level language and intelligent configuration of the three coordinate measuring machine (CMM) detection system. MBD technology was used to define and represent parts, and the relationships between PMI information of measured parts were analyzed, and OWL terminology was used to construct the ontology model of the detection system with its semantic standardized representation. An algorithm to directly generateowl files after extracting information from the CAD system was designed, and the ontoSTEP ontology was integrated with the detection system ontology model to obtain the detection system ontology containing PMI information; Jena was used to establish the inference rules of the detection system, and the knowledge base system was used to reason out a reasonable detection system plan. The parallelism tolerance in die stamping parts of a company was deduced and verified. The results show that the probes are TP200 and SP25, and the corresponding probes are class A and class B, which verifies the effectiveness of the reasoning method.