EFFRA Innovation Portal

UPTIME | UNIFIED PREDICTIVE MAINTENANCE SYSTEM

01-09-2017

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31-08-2020

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Technologies and enablers

Comment:

UPTIME will reframe predictive maintenance strategy in a systematic and unified way with the aim to fully exploit the advancements in ICT and maintenance management by examining the potential of big data in an e-maintenance infrastructure taking into account the Gartner’s four levels of data analytics maturity and the
proactive computing principles.

Comment:

The data visualisation in UPTIME is performed by the UPTIME_VISUALIZE (SeaBAR prototype) component:

By establishing standardised connectors to the key data/information/knowledge sources for maintenance, production planning, logistics and quality management.
By faceting, filtering and semantic structuring of the collected data according to maintenance viewpoints.
Context-sensitive, interactive visualizations in order to allow the end user to easily search and navigate through huge amounts of heterogeneous information with the aim to enable a maximum flexible analysis of all relevant information, e.g. to drill-down into the data according to a region, timeframe and machine or to generalise a specific critical situation and find similar (past) situations with appropriate measures and individual user experience (e.g. best practices).
A customizable dashboard focusing on the specific information needs of e.g. maintenance engineers, quality managers and upper management by different context specific visualization and analytics tools.
Continuous visualization of critical data and utilization of captured experience from past situations for providing useful insights in interaction with manufacturing companies’ systems.
By turning from generic statistical data towards instance-specific data and enabling instance specific diagnosis and prognosis.