Engineering Innovation in
Digital Industry
A research project to optimize production and reduce emissions in the process industry through cognitive automation.
Approach & Solution
Approach
Process industries are realities in which there is a significant use of energy resources for the production of goods, but with a low level of automation and IT skills.
The CAPRI project aims to create an integrated platform (called "Cognitive Automation Platform"), based on cognitive processes, which allows to optimize production, improving product quality, and reducing the amount of resources needed (including electricity) and also reducing CO2 emissions.
The project will be demonstrated in three relevant sectors, such as the asphalt manufacturing industry, the pharmaceutical industry and the steel manufacturing industry.
The CAPRI project aims to create an integrated platform (called "Cognitive Automation Platform"), based on cognitive processes, which allows to optimize production, improving product quality, and reducing the amount of resources needed (including electricity) and also reducing CO2 emissions.
The project will be demonstrated in three relevant sectors, such as the asphalt manufacturing industry, the pharmaceutical industry and the steel manufacturing industry.
Solution
Starting from the requirements of the three use cases, an integrated solution will be designed and implemented, consisting of four levels of sensors, control, operation and planning, based on an edge-cloud hybrid architecture, with services and solutions for cognitive computing.
Engineering leads the design of the platform based on open source solutions such as FIWARE and Apache, and supports the integration of the solution in the three pilot plants, also producing guidelines and blueprints to facilitate the reuse of the solutions in new pilots and in new domains. The project is funded by European Community, under Horizon 2020, grant n. 870062.
Engineering leads the design of the platform based on open source solutions such as FIWARE and Apache, and supports the integration of the solution in the three pilot plants, also producing guidelines and blueprints to facilitate the reuse of the solutions in new pilots and in new domains. The project is funded by European Community, under Horizon 2020, grant n. 870062.
Results
Open source, modular and composable solution
Hybrid edge-cloud architecture
Compliant with standards on data security
Applicable to other sectors
Project value
Visibility
Process performance
Innovation
Enabling Technologies
IoT
AI & Advanced Analytics
Digital Twin
Project Team
Research & Innovation