Packaging, refrigerators, mozzarella: made in Piacenza the algorithm that solves problems
Machine learning and digital twin to improve processes and make efficiency. CEO Tagliaferri: 'We are addressing the shortage of technicians'.
2' min read
2' min read
Dabon, meaning 'really', in Piacenza dialect.
The fact that it really works is in the numbers of the start-up that chose this name (adding an h), a reality born in this very territory just 13 months ago but already able to present itself on the market with operational and 'billable' applications.
Linked to the world of artificial intelligence and machine learning, developing algorithms coupled with digital twins capable of boosting efficiency, reducing energy consumption, better scheduling of maintenance, and improving production processes. As is the case with one of Dabohn's customers, Nordmeccanica (also from Piacenza), a packaging machinery manufacturer that uses an application capable of managing the production complexities associated with the coupling of materials to make packaging.
"Depending on the type of product to be manufactured," explains Dabohn CEO and co-founder Andrea Tagliaferri, "our software indicates a particular setup, the one that on the basis of the data collected produced the best performance, operating on a mass of up to 100 parameters, including temperatures, types and quantities of adhesive, pressures, speeds. It is clear that the advantages grow as the complexity of the market increases, because when batches are reduced, setup times and the quality of new adjustments become decisive competitive parameters".
This is not an isolated customer, which joins other experiences already underway among dairies that want to optimise processes, utilities that aim to identify pollutants in waste water, cement factories and large-scale distribution. Where, for example, in the maintenance of refrigerated counters, significant advantages can be gained through the use of these algorithms and the data available with the sensors already in place.
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