Abstract
The acquisition and evaluation of process data in production engineering holds great potential. This allows detecting faulty processes at an early stage and processes to be optimized even more efficiently. However, the use of technologies for data acquisition in the manufacturing industry is far less widespread than the mentioned potential implies. This paper presents an Internet of Things approach by means of which production environments can be retrofitted easily and cost-effectively.
Highlights
Big Data Analytics have been used in online marketing for some time to control campaigns in a targeted manner and to track the consumption behavior of customers [1]
Data analysis in production environments is generally considered to have a great influence on the success of a company [2], it is less widely used than this implies
Solutions available on the market often only allow the acquisition of machine data from specific data sources (e.g. PROFIBUS network controller) and are only of limited use in production environments characterized by a variety of communication and sensor technologies
Summary
Leibniz University Hannover, Institute of Forming Technology and Machines, An der Universität 2, 30823. Leibniz University Hannover, Institute of Forming Technology and Machines, An der Universität 2, 30823 Garbsen, Germany
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
