From Nuclear Fusion to French Fries: How Cutting-Edge Science Helps Optimize Everyday Industry

What is the connection between controlling plasma at 150 million degrees Celsius and a frozen French fry factory? The answer lies in technology transfer and applied mathematics.

Researchers at Ghent University (Belgium) developed a method based on Bayesian inference (a statistical method that updates the probability of a hypothesis as new evidence or information becomes available) to detect anomalies in the magnetic fields that stabilize plasma inside nuclear fusion reactors. Its key strength is identifying faults in complex systems even when working with incomplete data.

Upon learning of this breakthrough, tech companies PropheSea and Ikologik applied the same mathematical algorithm at the factory of the food company Ecofrost. By using a small number of sensors, the system successfully detected water leaks and abnormal electricity consumption along the production line, achieving significant energy and resource savings.

This case demonstrates how research in cutting-edge science and high-energy physics produces data analysis tools capable of solving real-world and sustainability challenges in everyday industrial processes.