报告题目：认知数字孪生技术及其在飞机制造领域的应用探索
Cognitive Digital Twin and its application in aerospace industry
报 告 人：郑晓晨 博士（瑞士洛桑联邦理工学院）
邀 请 人：陈小奇 院士
报告时间：2023年1月10日，10:00—11:30
线上会议ID：腾讯会议724-794-598
欢迎广大师生踊跃参加。
吴贤铭智能工程学院
2023年1月4日
报告摘要：
As a key enabling technology of Industry 4.0, Digital Twin has been applied to various industrial domains to provide a comprehensive virtual description of products and systems. While the benefit of Digital Twin is undoubted, it faces challenges when dealing with certain complex industrial systems, which require integrating all relevant data, information and knowledge involving multiple domains and across the entire lifecycle. Semantic technologies, such as ontology engineering and knowledge graphs, provide potential solutions by empowering Digital Twins with augmented interoperability and cognitive capabilities. The Model Based Systems Engineering (MBSE) technology facilitates the formalized application of modeling to support cross-domain and cross-lifecycle information representation. Enabled by these state-of-the-art technologies, the Cognitive Digital Twin (CDT) concept has been recently proposed which reveals a promising evolution of the current Digital Twin paradigm towards a more intelligent, comprehensive, and full lifecycle representation of complex systems. In this seminar, the concept of CDT and its key features will be presented with an application case developed in a collaborative project with EU industries.
报告人简介：
郑晓晨，博士，瑞士洛桑联邦理工学院（EPFL）可持续制造实验室（ICT4SM）博士后研究员。主要研究领域为智能制造、数字孪生及认知数字孪生、物联网技术、语义建模及基于模型的系统工程（MBSE）等。担任工业本体组织（Industrial Ontologies Foundry）产品服务系统(IOF-PSS)工作组组长，欧洲标准化组织零缺陷制造工作组专家（CEN-CENELEC/WS Zero-Defect Manufacturing）。在智能制造和智能医疗领域发表学术论文40余篇，参与多个智能制造领域的EU H2020大型科研项目并领导多个子课题开发。