Digital transition
The optimization of existing instrumentation schemes and the development of new sensors allow better control over operating conditions and guarantee optimal process management. Today, these methods are largely enriched by the massive amount of available data and the potential of digital technologies.
To fully exploit the growing importance of big data and artificial intelligence, it is necessary to understand what these innovations cover, how to link them to the production system and how not be overwhelmed by a mass of information whose relevance would then be lesser.
In this context, ALLICE has made available to its members:
- A state of the art overview on Energy Management Systems in industry, which gave rise to an digital round-table where solution providers and manufacturers exchanged their points of view
- A study on Big Data Analytics methodologies and prospects to use industrial data in energy efficiency applications.
- A state of the art overview on predictive maintenance solutions available on the market
- Predictive control, with a collaborative project on drying modelling to optimise the operation of dryers to the "just necessary" level
- An optimal instrumentation project for monitoring industrial process energy performance