Research Project
SCREAM - SeCure Remote Equipment and Asset Monitoring
A platform for the development of solutions for the remote and optimised monitoring, maintenance and management of production equipment and machines.
Where: international
Where: international
Challenge
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).
Approach
The SCREAM platform will allow machine problems to be diagnosed (or predicted) and resolved via secure remote access, without the need for an on-site visit.
Digital Ecosystem
Solution
Digital Ecosystem
The solutions will be based on Big Data and Artificial Intelligence and will consider the specific characteristics and requirements of the production environment and the organisations using the production equipment and machines. Engineering is the Project Coordinator and is responsible for all activities linked to the definition of the SCREAM Framework. It 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. The project is financed with NOP "Enterprise and Competitiveness" 2014-2020 ERDF funds. Fund for Sustainable Growth - "Intelligent Production" branch PON I&C 2014-2020, referred to in the Ministerial Decree. 5 March 2018 article III.
Financing Framework
Results
Intelligent applications for monitoring and predictive maintenance throughout the life cycle of machines
Support in decision
making regarding monitoring, checks, maintenance, and management of machines
Technologies
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Security
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Cloud
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AI & Data
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