The joint solution is currently available in a demo at the Telefónica District Innovation Centre in Madrid
Telefónica Tech has signed an agreement with Grupo Álava to jointly launch a predictive maintenance tool for use in the industrial space.
The system aims to provide industrial companies with an advanced data platform to predict possible faults or defects in machinery.
It features integrated AI and big data capabilities and leverages machine learning models to improve efficiency.
“The agreement with Grupo Álava will allow us to extend and massify our predictive maintenance capabilities and help all companies in the industrial sector to avoid long downtime and reduce costs thanks to 5G, IoT, edge computing and big data technologies,” said Andrés Escribano, director of new business and Industry 4.0 at Telefónica Tech
“Digital transformation plays a key role in the development of a more sustainable and resilient industrial activity”.
Sensing for safety
The pair suggest the predictive solution may allow firms to digitize maintenance processes by mass wireless sensing of all their assets in the production chain. The data generated would then be collected by sensors, connected through Telefónica Tech’s LTE and 5G mobile networks, stored and processed in Industrial Edge Computing technology.
That data would then be accessible through a platform, giving indications based on artificial intelligence capabilities to better manage the health of production process machinery, extending its useful life and optimizing maintenance costs.
The solution may "contribute not only to boosting the safety, efficiency and competitiveness of the sector but also to guaranteeing sustainability by avoiding many of the trips required in unscheduled maintenance," an announcement reads.
“We understand that this union offers guarantees to our current and future customers to improve their competitiveness in the international market, thanks to the adoption of process digitalization solutions, predictive maintenance of assets, digital twins, improvement of end-product quality and a large number of other contributions that we can make to their business,” said Yago Sanchez, director of alliances at Grupo Álava.
The joint solution is currently available in a demo at the Telefónica District Innovation Centre in Madrid.