What Is Edge Computing and Why Is it Important for IoT-companies?
A Compact Connectivity Box PC for Lean Solutions
The Prime Box Pico is one of the smallest industrial box PCs and excels by its high interconnectedness and particularly compact design.
Within the modular system of the product brand Prime Cube, modular edge computing and software concepts are realized, among other things for the innovative Prime Box Pico. Virtualization tools such as a real-time hypervisor allow to integrate existing remote maintenance solutions and operate parallel docker-based applications.
The Prime Box Pico is usable with Windows 10 IoT Enterprise or Linux; on request it can be delivered with an individually preconfigured operating system.
Apart from WLAN, LTE or other radio extensions, the optional CAN bus extension is available as a robust, fast and simple fieldbus that is increasingly used for the solution of small and cost-sensitive applications in machine building.
Edge Gateway: Efficiency, Low Effort and High Data Security
Within the IIoT-framework OT (operational technology) and IT (informational technology) need to be increasingly connected.
This is where the edge gateway is used. Control, data processing and the interface to the cloud level can be integrated in one device.
The resulting edge gateway bundles five major functionalities: Data extracted from the machine, the control/HMI and the data pre-processing describe the actual edge computing. The powerful edge gateway “GS.GATE” also takes over the cloud connection and the remote access down to the sensor level.
The compression to one device involves cost savings, less effort in terms of maintenance and resources and more space in the control cabinet.
The users have just one contact person for control, cyber security and data processing. Thanks to the edge computing solution, the latter one is independent of the actual process task of the machine, which means that the machine continues to run even if the cloud resp. the Internet connection should fail. In this case, the required data are locally buffered and saved until they can be transferred to the cloud again.
Furthermore, the pre-processing ensures that raw data remain with the original source. Sensitive or critical data are better protected, the risk of data abuse is reduced.
The process-oriented data analysis also simplifies the predictive maintenance and quality assurance. Apart from meeting the real-time requirements, this involves an immediate positive effect on productivity.
„Hardware follows Software“ Determines the Future
In the future, the success of appropriate IIoT-solutions will strongly depend on adequate software components while being based on hardware and mechanics as generic elements of the overall concept. Scalable platforms combine both parts and allow the realization of individual requirements.
While in the past interconnectedness used to be very expensive and cumbersome, the optimum connection of sensors from the OT-level to the cloud is now cost-efficient and easy to realize by means of edge computing. Due to the reduced data volume, the connection can be performed with simple and at the same time robust technology.
As an example, the network standard IoT narrowband based on LTE and 5G is geared for a low bandwidth. The simple radio modules only reflect the necessary functions, making the technology particularly cost-efficient, robust and resource-saving.
It allows the direct connection to the cloud without the at times cumbersome integration into the local IT-infrastructure.
The Right Partner Gives Small and Medium-sized Companies Confidence in the Development Process of the Optimum Edge Computing Solution.
Autoren der Schubert System Elektronik GmbH:
- Frank Wemken, Entwicklungsleitung
- Alexander Matt, Produktmanager Prime Cube
- Marcus Finkbeiner. Leitung Vertrieb Prime Cube
1 https://www.i40-magazin.de/allgemein/technik/cloud-internet-of-things/splunk-studie-zum-datenzeitalter/ ; https://www.splunk.com/2 Acatech, Industrie 4.0 Maturity Index Update 20203 Abbildung 1: Schuh, G./Anderl, R./Dumitrescu, R./Krüger, A./ten Hompel, M. (Hrsg.): Industrie 4.0 Maturity Index. Die digitale Transformation von Unternehmen gestalten – UPDATE 2020 – (acatech STUDIE), München 2020.