We develop fully customizable monitoring systems. In addition, we have patented new sensors capable of measuring, simultaneously, both the vibrations of a shaft and the slow misalignments of its axis, so as to provide indispensable data for carrying out condition monitoring and predictive maintenance.
We propose customized monitoring systems. Our company not only develops software for data analysis. We also take care of the hardware part, that is, the sensors and the data transmission system. Since the whole chain is developed in house, we can offer any kind of customization. Finally, we have designed and patented innovative sensors for condition monitoring and predictive maintenance.
Tailor-made data transmission systems, with both short- and long-range transmission.
Innovative patented sensors for condition monitoring and predictive maintenance of mechanical or electro-mechanical components (rotating shafts, linear guides, etc.). These sensors bring to life digital twin models of electro-mechanical components implemented using neural networks. Neural networks are implemented "on-chip" within embedded IoT solutions.
Typical applications are condition monitoring of industrial machines, structural health monitoring (bridges, historic buildings, schools, etc.) and land monitoring (landslides, water level, air or water quality, etc.).
We have experienced data analysts who analyze big data using artificial intelligence (AI). Specifically, depending on the problem and application, either classification or regression methods can be used.
© 2024 EMC Gems |
P.IVA/VAT IT03026280309 |
REA UD – 359523 |
Codice SDI USAL8PV |
Cap. Soc. € 10.000,00 i.v.