As software as a service MITEE will build digital twins of industrial assets and processes, such as anomaly detection models for predictive maintenance and time-dependent regression models for optimizing energy consumption. To ensure accuracy and robustness MITEE will mix deterministic and machine learning models.
Ideal users are facility technicians and managers. In custom dashboards users will track key performance metrics in real time and interact with the developed models. Special plots will help users understand the impact of input variables on the output of these models.
Accuracy and a user-centered approach will set MITEE apart.
Usage of Standards for data interoperability:
- Support of protocols gRPC, RDF, HTTP+JSON
- Design of REST APIs with standard OpenAPI specification
- Definition of digital twins using ontologies such as FIWARE’s Smart Data Models and Azure DTDL
*Expose phase is open to all Experiment phase teams
EURIX is an information technology company focused on design, development and integration of software using innovative technology. EURIX’s core business spans 4 areas: 1) Systems, Networks & Data Security; 2) Digital Business Transformation; 3) Energy Efficiency & Internet of Things; 4) Artificial Intelligence & Machine Learning. Since 2006 EURIX has been ISO 9001 certified. In 2016 Italy’s Ministry of Economic Development labeled EURIX an Innovative SME.
EURIX has developed EOS3, a suite of products for remote control and energy efficiency in buildings, offices and industries. Using EOS3 EURIX cuts energy consumption at 60+ sites.
EURIX’s main customers belong to sectors such as Energy & Utilities, Industry, Telco & Media, Facility Management, Information and Communications Technology, public administration.
Involvement in Standardisation Bodies:
MPAI (Moving Picture, Audio and Data Coding by Artificial Intelligence), MPEG, DMIN.it (Digital Media in Italy)
Contributions to MPEG-21, extensions to MPEG-7
Paolo Decarlini - President and CTO
Invited speaker to many corporate/academic meetings on cybersec and energy efficiency solutions for smart buildings.
Massimo Amerio - Program manager of EURIX’s Energy Efficiency & IoT unit
Energy engineer with postgraduate specialization in telecommunication.
Luca Bianchi - software developer
Leads EURIX’s team in ESA mission Gaia. Processes big data from synthetic monitoring. Used machine learning for search and rescue.
Mattia Bergagio - PhD. Energy engineer.
Tunes energy consumption at sites run by EURIX using machine learning. Runs vision-and-language tasks using multimodal models.