E!12101, Develop machine learning Smart Control for 3eflow technology, 3eflow AB
| Reference number | |
| Coordinator | 3eflow AB |
| Funding from Vinnova | SEK 4 294 338 |
| Project duration | May 2018 - February 2021 |
| Status | Completed |
| Venture | Eurostars |
Purpose and goal
We have developed a machine learning 3eflow Smart Control monitored through the cloud. Since 3eflow will be installed as plug and play in real conditions on both hot and cold water, it means the machine learning Smart Control has to adapt and deliver smart data independent of pressure, temperature or surrounding equipment etc.
Expected results and effects
We aim to be the number one in plumbing technology and having our system integrated in market leading boilers, taps and piping systems. With benefit of 3eflow machine learning Smart Control, the simplicity of installation, total monitoring, and the value with a smart machine learning plumbing system accelerates commercialization of the 3eflow technology.
Planned approach and implementation
We have made a number of real-condition installations with basic 3eflow technology and then monitored these installations remotely and created a database of operations data. This data has been analyzed for comparison of operations in different set-ups and conditions. Insights from analyzing the data will further develop the product, both the mechanical parts and the algorithms used by the embedded software.