UPTIME mapped on
Cloud computing

General desciption of Cloud computing:

https://en.wikipedia.org/wiki/Cloud_computing

Cloud computing can be deployed as private cloud, public cloud, hybrid cloud

Digital Manufacturing Platforms can be ran into IaaS, PaaS or SaaS. 
Considerations need to be made to security measures in the cloud (kubernetes, container security), identity & access, or carefully considering the security measures by the respective cloud services providers. 

 

See all mapped projects (2)

Relevant:

Comment:

4 main components in the cloudbased infastructure of the UPTIME platform include:

  • UPTIME_DETECT and PREDICT component (extended version of PreIno prototype) processes mainly timeseries?based data from the field, to give further context to the data, e.g. to detect topical conditions of technical equipment and to predict probable future conditions. 
  • UPTIME_ANALYZE (a new developed prototype) is a data analytics engine driven by the need to leverage manufacturers’ legacy data and operational data related to maintenance, and to extract and correlate relevant knowledge.
  • UPTIME_DECIDE component (extended version of PANDDA prototype) that implements a prescriptive analytics approach for proactive decision making in a streaming processing computational environment. It provides real-time prescriptions fo the optimal maintenance actions and the optimal time for their implementation on the basis of streams of predictions about future failures.
  • UPTIME_FMECA (extended version of DRIFT prototype) provides estimation of possible failure modes and risk criticalities evolution through its data-driven FMECA approach.
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