计算机应用与软件2025，Vol.42Issue(5)：43-49,94,8.DOI:10.3969/j.issn.1000-386x.2025.05.007
一种面向工业物联网的知识图谱认知制造模型
A KNOWLEDGE GRAPH COGNITIVE MANUFACTURING MODEL FOR INDUSTRIAL INTERNET OF THINGS
摘要
Abstract
Effective cognition of data is the key factor to realize intelligent manufacturing.Aiming at a large number of multi-source and heterogeneous manufacturing data generated by industrial internet of things system,we propose a knowledge graph cognitive manufacturing model for industrial internet of things(IIoT-KGC).It built a knowledge graph model by cognitive-drive agent and proposes knowledge reasoning method based on deep reinforcement learning to realize the effective cognition of manufacturing resources in the industrial internet of things.Taking the personalized product order response of flexible workshop as an example,the experiment shows that under the dynamic demand change,IIoT-KGC has large positive sample rate as well as has better lathe utilization and real-time interaction ability than manual method and rule method,which provides technical support for intelligent manufacturing of industrial Internet of things.关键词
工业物联网/知识图谱/认知制造/深度学习Key words
Industrial internet of things(IIoT)/Knowledge graph/Cognitive manufacturing/Deep learning分类
信息技术与安全科学引用本文复制引用
孙秀英,张晓丹..一种面向工业物联网的知识图谱认知制造模型[J].计算机应用与软件,2025,42(5):43-49,94,8.基金项目
河南省科技厅科技攻关项目(222102210316). （222102210316）
