Innovation Overview

At I-care, we are committed to driving innovation and technological excellence to help our customers lower production costs while increasing output and efficiency.

PROPHESY

A platform for rapid deployment of self-configuring and optimized predictive maintenance services

  • Catalyst for uptake of next-generation, optimal, adaptive, and self-configurable PdM services.
  • End-to-end development, deployment, and operationalization of adaptive self-configurable PdM services.

This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 766994.

TRACY

Investigating log data generated by industrial assets and refining existing AI and machine learning techniques targeted at time series analysis.

  • Challenges: handle heterogeneity of the data and lack of standardization
  • Validated on industrial use cases: Optimizing the performance of compressors and Decreasing the service cost of electrophotographic machines

PI-AI

4.0 Modular Industrial Platform

  • Robust and reliable platform to enable 4.0 products management on I-care’s I-see™ software platform
  • Modular and scalable

SMART-R4F

Next-generation sensors

  • New AI-enabled IIOT sensors
  • Next Generation certified portable data collector for the Wi-care ecosystem

ACMON

Easy deployment, maintenance and validation of AI models for acoustic monitoring

  • Creating Condition Monitoring based on acoustics
  • Increasing signal-to-noise ratio of sound recordings
  • Training AI models for robust detection of problems

LightSens

Using Optic Fibers for predictive maintenance

  • Compatible with extreme industrial environments
  • Long distance sensors
  • Distributed sensors

PEPS

Pumped Electricity Plant Solutions (PEPS)

  • Satisfying emerging need for energy storage technologies
  • Innovative modular concept, easily reproducible, piloted and monitored remotely in a 4.0 approach of operations and maintenance

CONSCIOUS

(*Contextual aNomaly deteCtIon for cOmplex indUstrial aSsets)

Bringing IIoT and AI to Industrial use cases

  • Correlating production and predictive maintenance data with AI algorithms
  • Integrating IIoT devices to improve data collection