控制与信息技术Issue(4)：68-78,11.DOI:10.13889/j.issn.2096-5427.2026.04.010
面向研发全链路的智能审图系统研究与应用
Research and Application of an Intelligent Drawing Review System for the Entire R&D Process
摘要
Abstract
To address challenges in unifying multi-source heterogeneous data,enforcing engineering standards and rules,enabling collaborative review across R&D stages,and improving the efficiency and consistency of manual review for complex equipment development,this paper presents the development and implementation of an intelligent drawing review system for the entire R&D process based on knowledge engineering,rule-driven review,and retrieval-augmented generation(RAG).The system is designed with a four-layer architecture.Multimodal parsing and data normalization are employed to establish a unified representation for documents,product lifecycle management(PLM)data,and 2D/3D models.Document structure reconstruction and engineering knowledge graphs are used to model standards and specifications,and executable review rules are then derived from graph relationships.Multi-agent workflow orchestration and controllable RAG-based inference are incorporated to enable automated and collaborative review.Evidence chains and traceability mechanisms are embedded at the output layer to ensure that review results are explainable and verifiable.Engineering validation in three representative scenarios—general document review,PLM-integrated review,and lightweight review for industrial-chain collaboration—demonstrates that the proposed system offers good generality,scalability,and adaptability to practical engineering environments.Compared with conventional manual review,the system improves review efficiency by more than 20 times and reduces review and approval workload by approximately 80%,thereby supporting closed-loop quality management throughout the entire R&D process.关键词
智能审图/研发全链路/多源异构数据/知识图谱/多智能体协同Key words
intelligent drawing review system/entire R&D process/multi-source heterogeneous data/knowledge graph/multi-agent collaboration分类
交通工程引用本文复制引用
刘振波,冯立杰,王添,周叶红,王锐,涂本荣..面向研发全链路的智能审图系统研究与应用[J].控制与信息技术,2026,(4):68-78,11.基金项目
中国中车股份有限公司重大专项科技研究开发计划(2026CKA673、2026CKA674) （2026CKA673、2026CKA674）
