Context Extraction for Self-Learning Production Systems

摘要：

A new approach for the realisation of self-learning production systems based on a context aware approach, allowing self-adaptation of flexible manufacturing processes in production systems, is presented. The usage of dynamically changing context for adaptation of flexible manufacturing lines/processes is proposed. The presented solution includes services for context extraction, adaptation and self-learning allowing high adaptation of production systems depending on the identified context. A generic architecture following Service Oriented Principles is presented allowing for integration of the proposed solution into various production systems. A successful application of the developed solution in real world manufacturing environment is presented.

关键词： Context Awareness Ontology SOA self-learning

作者: Sebastian Scholze Dragan Stokic Jose Barata Christian Decker

作者单位: ATB - Institute for Applied SystemTechnologyBremen, Germany UNINOVA - Instituto deDesenvolvimento de NovasTecnologiasLisbon, Portugal KL(O)CKNER DESMA Schuhmaschinen GmbH Achim, Germany

会议类型: 国际会议

会议名称: IEEE 10th International Conference on Industrial Informatics(第十届IEEE工业信息学国际学术会议 INDIN2012)

会议地点: 北京

会议语种:英文

页码: 809-814

在线出版日期: 2012-07-25（万方平台首次上网日期，不代表论文的发表时间）