# Application of Data Stream Processing Technologies in Industry 4.0 --   What is Missing?

**Authors:** Guenter Hesse, Werner Sinzig, Christoph Matthies, Matthias Uflacker

arXiv: 1907.09387 · 2020-07-20

## TL;DR

This paper explores how data stream processing technologies can enable Industry 4.0, highlighting current industry insights, potential benefits, and obstacles to their adoption in manufacturing environments.

## Contribution

It provides industry findings from site inspections, discusses the role of data stream processing in Industry 4.0, and analyzes barriers to implementation.

## Key findings

- Industry insights from site inspections
- Potential of data stream processing as an enabler
- Identification of obstacles to adoption

## Abstract

Industry 4.0 is becoming more and more important for manufacturers as the developments in the area of Internet of Things advance. Another technology gaining more attention is data stream processing systems. Although such streaming frameworks seem to be a natural fit for Industry 4.0 scenarios, their application in this context is still low. The contributions in this paper are threefold. Firstly, we present industry findings that we derived from site inspections with a focus on Industry 4.0. Moreover, our view on Industry 4.0 and important related aspects is elaborated. As a third contribution, we illustrate our opinion on why data stream processing technologies could act as an enabler for Industry 4.0 and point out possible obstacles on this way.

## Full text

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## Figures

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## References

19 references — full list in the complete paper: https://tomesphere.com/paper/1907.09387/full.md

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Source: https://tomesphere.com/paper/1907.09387