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UPTIME | UNIFIED PREDICTIVE MAINTENANCE SYSTEM

01-09-2017

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28-02-2021

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Technologies and enablers
Information and communication technologies
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.

Human Machine Interfaces
Data visualisation
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.

DAT4.ZERO | Data Reliability and Digitally-enhanced Quality Management for Zero Defect Manufacturing in Smart Factories and Ecosystems

01-10-2020

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31-03-2024

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Technologies and enablers
Information and communication technologies
Result items:
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Human Machine Interfaces
Result items:
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Data visualisation
Result items:
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
Digital Quality Analytics Solution for extrusion processes using machine learning and human-oriented dashboards
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