As exposed in the case study, the starting hypothesis was to study the “normal” trend of some plants over time, in order to precisely set operating standards and allow anomaly detection to report any deviations.
In a similar context, it was therefore necessary to set up a preventive work, which analyzed all the phenomena related to the machines present in the plant. In this sense, BitBang has collected over time data such as temperature, pressure, vibrations, sound waves and much more. This data collection allowed us to have an overall picture of the data that regulate the normal operation of the plant.