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ELITE research project

At the forefront of IoT innovation

Improving production efficiency – together

Efficiency-optimized production Lines using industrial Internet of Things Enhancements, or ELITE, is a research project started by Ghent University that analyses possible efficiency improvements offered by the Industrial Internet of Things. INDEFF was invited to be one of the project partners because of its practical expertise with the Industrial Internet of Things.

ELITE is an imec.icon research project funded by Flanders Innovation & Entrepreneurship and imec.

Making ground-breaking research happen

A number of well-placed sensors were placed in the production facilities of two INDEFF clients (Voeders Huys and Soubry) to measure fluid, temperature, vibration, alarms, etc. throughout the production process. That data is transferred to the research group for analysis, which will, in turn, serve as the foundation for an interpretative algorithm. In the end, the solution should be able to predict breakdowns based on sensor values of the machines in a production line.

INDEFF’s IIoT solution for SMEs

Most production SMEs could make good use of the insights provided by the Industrial Internet of Things, but simply cannot afford to install the necessary sensors or perform the required data analysis. That is why INDEFF is set to develop a low-cost, low-intrusive IIoT solution, based on this research project’s results. The solution will be able to predict technical issues, enable predictive maintenance and lower downtime.

“The Prediction Model” as our foundation

While INDEFF is crucial to the startup of Ghent University’s research project, the other industrial and academic partners will develop the algorithm that predicts when and why a production line will experience downtime. That algorithm is to be called “The Prediction Model”, and will analyze industrial data in real-time – without intrusive cables or large servers.

Goals

  • Assist and promote high-level research into the Internet of Things.
  • Install sensors and feed real data to kick start the ELITE research project.
  • Use the resulting analytics algorithm as a base for a low-cost SME IIoT solution.

Challenges

  • A dire lack of historical data and installed sensors.
  • Developing a cost-effective solution; due to the price of IoT sensors.

Results

  • A solid stream of real-life results to promote data-driven decision making.
  • The Prediction Model: a strong algorithm on which INDEFF can build an SME-ready IIoT solution.
  • Strengthen our partnership with Wonderware and ThingWorx: the MES and IoT platforms INDEFF uses for its Smart Manufacturing and IIoT solutions.

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