AccuPredict enables customers to reduce energy consumption & improve productivity of their machines. Wireless sensors enable monitoring equipment vibration from a remote location to accurately predict upcoming failure in time. Customers avoid shutdowns while trimming number & skill levels of staff required. Energy consumption is slashed as vibration is reduced.
- Project: Accupredict & Celsa Group. Predictive maintenance of the product cutting shears to improve the reliability of the machine.
Articles related with [page_title]
The selected startups for BIND 4.0’s first edition
The selected startups for BIND 4.0’s first edition After matching partners and startups’ expectations, we are ready to announce the names of the winners… actually the new Industry 4.0 companies that will take part in the first edition of Bind 4.0. And we have very good news, as 13 [...]
These are the 52 pre-selected startups to be accelerated at Bind 4.0
Pre-selected startups at BIND 1st Edition A total of 257 startups from 41 countries have applied to Bind 4.0 and 52 of them have been pre-selected by the evaluation committee. They will have to pitch their Industry 4.0 projects to the 10 companies that will be signing up to €75,000 [...]
