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UPTIME will develop a versatile and interoperable unified predictive maintenance platform for industrial & manufacturing assets from sensor data collection to optimal maintenance action implementation. Through advanced prognostic algorithms, it predicts upcoming failures or losses in productivity. Then, decision algorithms recommend the best action to be performed at the best time to optimize total maintenance and production costs and improve OEE.

UPTIME innovation is built upon the predictive maintenance concept and the technological pillars (i.e. Industry 4.0, IoT and Big Data, Proactive Computing) in order to result in a unified information system for predictive maintenance. UPTIME open, modular and end-to-end architecture aims to enable the predictive maintenance implementation in manufacturing firms with the aim to maximize the expected utility and to exploit the full potential of predictive maintenance management, sensor-generated big data processing, e-maintenance, proactive computing and industrial data analytics. UPTIME solution can be applied in the context of the production process of any manufacturing company regardless of their processes, products and physical models used.

Key components of UPTIME Platform include:

  1. SENSE deals with data agreegation from heterogeneous sources and provides configurable diagnosis capabilities on the edge.
  2. DETECT deals with intelligent diagnosis to provide a reliable interpretation of the asset's health.
  3. PREDICT deals with advanced prognostic capabilities using genering or tailored algorithms.
  4. ANALYZE deals with analysis of maintenance-related data from legacy and operational system.
  5. FMECA (Failure Mode, Effects and Criticality Analysis) deals with estimation of possible failure modes and risk criticalities evolution.
  6. DECIDE deals with continuously improved recommendations based on historical data and real-time prognostic results.
  7. VISUALIZE deals with configurable visualization to facilitate data analysis and decision making.
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