The RAMEN Platform is a cloud-based resilient platform to support manufacturers in their maintenance activities and operational strategies. The RAMEN Platform offers its added value by combining the strengths of the results of two H2020 FoF projects, UPTIME and SERENA. It augments UPTIME’s predictive analytics with SERENA’s advanced & intuitive AR/VR visualization technology. RAMEN creates a flexible, resilient and scalable platform with unique ease-of-use and applicability to many different use cases.
The RAMEN Platform supports the integration and orchestration, management and replacement of multiple components on the basis of docker technologies and enables predictive maintenance in an industrial environment. It allows bridging the gaps between the shop floor operators, data science and engineering, as well as lowers the entry barrier for companies including SMEs to apply predictive maintenance solution with its containerized micro-service approach.
RAMEN will integrate and mature pre-commercial hard and software developed in the UPTIME project for predictive maintenance into the platform. The goal is to deliver fully mature Predictive Maintenance component which can be easily configured and operated by stakeholders in the relevant manufacturing processes.
The Predictive Maintenance component will encompass the entire data value chain from data acquisition condition monitoring and predictive maintenance. It will contain an intuitive calculation flow designer with an extensible library of algorithms and AI methods.
The Advanced Visualisation component will be integrated into the RAMEN platform as a service for interaction with maintenance-related information and the results of the Predictive Maintenance Component to shopfloor operators. Work in SERENA will serve as a basis introducing the key elements for creating the visualization component, supporting AR display.
The component will provide a user-friendly interface and support near real-time data streaming and asset visualization, superimposing maintenance-related information to the asset visualisation as well as predictive analytics.
WP1, led by Fives, deals with project management
Specifications and KPIs analysis
WP 2, led by Fives, deals with identification of specification, system architecture and MARS dashboard with KPIs
Safety related risk assessment and safety concept definition
WP 3, led by LMS, deals with performing risk assessment and definition of safety concept for pilot test
Localization technology to implement the safety concept
WP4, led by BIBA, deals with development of localization and navigation solution for pilot test
Integration of safety strategy and localization modules
WP5, led by Fives, deals with development of safety concept and localization solution fully integrated in the system
Pilot preperation and validation
WP6, led by Fives, deals with design and validation of the pilot test
Certification start and exploitation plan building
WP7, led by Fives, deals with certification process needed for the market introduction and preparation of exploitation plan
Communication and Dissemination
WP8, led by BIBA, deals with communication and dissemination of the project results as well as preparation of learning nuggets.