National Centre for HPC, Big Data and Quantum Computing (ICSC), a project funded by the European Union – NextGenerationEU – and by Italy’s National Recovery and Resilience Plan (PNRR) – Mission 4, Component 2.
Objectives
The goal is to improve safety and efficiency in industries where numerous variables could endanger materials or affect productivity. This is particularly challenging in sectors such as food, chemicals, and energy, due to the number of variables and potential hazards that must be taken into account for effective anomaly prediction.
Initial Challenge
Given the need for precise and reliable monitoring of controlled environments such as food, chemical, and energy industries, the project will design a system to improve efficiency. The variables related to safety and efficiency are numerous, which implies a certain degree of process complexity.
Solution
Generative AI techniques will enable the development of synthetic data generation models that reproduce operational anomalies. The Edge AI model will then be trained on the model architecture best suited to the project’s needs.
Benefits
The Edge AI systems will be trained on a significant amount of data, taking into account existing recorded anomalies, contributing to the creation of a relevant dataset. In addition, different malfunction conditions will first be tested in controlled environments to ensure they are easily recognizable and resolvable. Overall, the project will be scalable and useful for all types of industry.
Partners
Spokes involved
For more information, contact: projects@ifabfoundation.org
