Engineering Innovation in
Digital Industry
A platform for the development of solutions for the remote and optimised monitoring, maintenance and management of production equipment and machines.
Approach & Solution
Approach
The SCREAM project proposes to study, define, design and implement an integrated, modular, flexible and adaptable platform for building dedicated solutions for the remote and optimised monitoring, maintenance and management of machines (Monitoring and Control - M&C) and production equipment (e.g. to predict equipment failures and determine solutions before they occur).
The platform will allow machine problems to be diagnosed (or predicted) and resolved via secure remote access, without the need for an on-site visit.
The platform will allow machine problems to be diagnosed (or predicted) and resolved via secure remote access, without the need for an on-site visit.
Solution
The solutions proposed in the project will be based on Big Data and Artificial Intelligence and will consider the specific characteristics, peculiarities, needs and requirements of the production environment and the organisations using the production equipment and machines. Furthermore, special attention will be given to the specific business relationship that exists between the manufacturer/supplier and the various users (goods producing industries).
Engineering is the Project Coordinator and is responsible for all activities linked to the definition of the SCREAM Framework.
Engineering is also working on Big Data Infrastructure for remote and secure M&C systems, aiming to define the infrastructure for Industrial Big Data Analytics based on a hybrid edge-cloud model and a complete toolkit of algorithms and analysis techniques to support machine analyses. Moreover Engineering takes care of the design of application services for the remote M&C systems of production machinery, with the aim of offering advanced services to support decision making. The project is funded under the European Union's response to the COVID-19 pandemic - AXIS VI - Investment Priority 13i - Action 3.1.1.
Engineering is the Project Coordinator and is responsible for all activities linked to the definition of the SCREAM Framework.
Engineering is also working on Big Data Infrastructure for remote and secure M&C systems, aiming to define the infrastructure for Industrial Big Data Analytics based on a hybrid edge-cloud model and a complete toolkit of algorithms and analysis techniques to support machine analyses. Moreover Engineering takes care of the design of application services for the remote M&C systems of production machinery, with the aim of offering advanced services to support decision making. The project is funded under the European Union's response to the COVID-19 pandemic - AXIS VI - Investment Priority 13i - Action 3.1.1.
Results
Distributed and more resilient control mechanisms
Monitoring and predictive maintenance
Support in decision-making regarding the management of machines
Project value
Innovation
Process performance
Cost cutting
Enabling Technologies
AI & Advanced Analytics
Cybersecurity
IoT
Cloud
Project Team
Research & Innovation