Kollaborations- & Wissensmanagement

shopfloor.io (vormals Dataface) erlaubt es BSH für seine Assets (z. B. Maschinen) spezifische Wissensdatenbanken aufzubauen und zu verwalten. Dabei können Assets hierarchisch strukturiert und aggregiert werden. Je Asset wird ein Post-Kanal angeboten, der sowohl durch Mitarbeiter als auch – wenn angebunden – Assets befüllt werden kann. Dabei können Posts bewertet werden (Daumen hoch/runter). Dadurch wird für jedes Asset der Status und die asset-spezifischen Interaktionen aufgezeichnet und eine Wissensdatenbank aufgebaut. Externe Wissensdatenbanken wie bspw. Fehler-Manuals können eingebunden und als Fehlerlösungen automatisch angeboten werden.

Auf der technischen Seite besteht diese Lösung zunächst aus einer CloudFront-Distribution, über die das webbasierte Frontend ausgeliefert wird. Dieses Frontend kommuniziert mit den shopfloor.io Microservices, die als Container in einem EKS Kubernetes Cluster laufen. Die Datenhaltung besteht dabei aus einer Kombination von S3 (Datalake und Dokumentenspeicher) und Aurora (relationale Datenbank). Assets, die die Anbindung an shopfloor.io über gängige IIoT-Protokolle unterstützen, kommunizieren mit dem IoT Core Service, welcher die übermittelten Messages dann direkt im S3 Datalake ablegt.

BSH Architektur

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            With the shopfloor.io asset ping, you can connect existing machines in the field, record and visualise machine data, distribute digital services and increase your after-sales.

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                                    After the first screening, we will send you an invitation to our Talentcube tool. We have prepared 3-5 short questions that you can answer in a personal video (we have also prepared a short introduction video). If you don't feel comfortable with this, please let us know - we'll find an alternative!

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