Automatic generation technology of inspection procedures in the smart manufacturing environment
智能制造环境下检验规程的自动生成技术

摘要

在智能制造快速发展的背景下，传统检验规程编制方式已无法满足复杂、多变、高速生产环境的要求。本文聚焦于检验规程自动生成技术的研究，提出构建基于语义建模与工艺知识融合的自动生成框架，以实现检验项目、检验标准与工艺路径的智能匹配。通过引入知识图谱、规则推理及AI辅助建模手段，提高了规程生成的准确性与效率。在实际制造场景中的验证结果表明，该方法能有效提升质量控制的智能化水平，降低人工干预，促进制造过程与检验过程的深度融合，为智能工厂实现自适应质量管理提供了重要支撑。

Abstract

Against the backdrop of the rapid development of smart manufacturing, traditional methods for formulating inspection procedures can no longer meet the requirements of complex, changeable, and high-speed production environments. This paper focuses on the research of automatic generation technology for inspection procedures and proposes the construction of an automatic generation framework based on the integration of semantic modeling and process knowledge, aiming to achieve intelligent matching of inspection items, inspection standards, and process routes. By introducing knowledge graphs, rule reasoning, and AI-aided modeling methods, the accuracy and efficiency of procedure generation are improved. Verification results in actual manufacturing scenarios show that this method can effectively enhance the intelligence level of quality control, reduce manual intervention, promote the in-depth integration of manufacturing processes and inspection processes, and provide important support for smart factories to realize adaptive quality management.