Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5128733 | Procedia Manufacturing | 2017 | 10 Pages |
In Industry 4.0 there are several fields of work. Next to Social Machines, Virtual Production, Smart Products and Global Facilities a main field is Augmented Operators. To be able to assist people in their work, it is necessary to reduce the amount of data that is needed to be perceived in any given moment. In current systems more and more data is generated from day to day and has to be evaluated to be helpful. For many tasks only a certain part of the general information flow is relevant. An information demand analysis can help reducing big data to smart data and identifying possible context key factors. Using such factors information can be categorized and provided when the context is right. This article shows the interpretation of several information demand analysis as well as the development of a demonstrator application for context related information provision based on the findings.