TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Handmann, Uwe
A1  - Qasem, Ziyaad
A1  - Bons, Julia
A1  - Borgmann, Colja
A1  - Eimler, Sabrina
A1  - Jansen, Marc
T1  - Dynamic, Adaptive, and Mobile System for Context- Based and Intelligent Support of Employees in Heavy Industry
T2  - Proceedings of the 6th International Conference on Enterprise Systems (ES), IEEE
N2  - Industry 4.0 is known as the fourth industrial revolution which refers to the integration of technologies that make the factories interoperable by seamlessly connecting machines, employees and sensors for communication. In Industry 4.0, one of the key features is the use of new technologies to recognize the current context. Thus, the employees are supported with contextual information for speeding up decision-making during various processes related to planning, production, maintenance, etc. As a contribution to this area, the work described here aims to introduce a cyber-physical system (CPS) approach to provide context-based and intelligent support to employees in heavy industries using new technologies, especially in the field of mobile devices. In this work, mobile device sensors and image processing techniques are used to recognize the context which requires specific support. In addition, new scenarios and associated processes are developed to support the employees on the basis of new, flexible, adaptive and mobile technologies.
Y1  - 2018
UR  - ieeexplore.ieee.org/abstract/document/8588263
ER  -