Ministry of Education, University and Research Department for Higher Education and Research
Directorate General for the Coordination, Promotion and Valorisation of Research
Notice for the presentation of industrial research and experimental development projects in the 12 Specialization Areas identified by the 2015-2020 NRP
FLEet managemenT optimization through I4.0 enabled smart maintenance (FLET4.0)
Projece cofunded by European Union – SIF, Ricerca e
The research activities described in the design proposal focus on the service support process.
The objective is the development of a system to manage information obtained through Health Monitor and Fleet Mangement activities integrated with data from the depot (waste and repair rates), logistical data (lead time supplies and repair work), engineering data (modifications and manuals) to develop a landing strategy that has the least impact on fleet operation, reduce supply lead times, and optimize warehouse management.
The project intends to develop a new methodology approach to the process of maintenance outside the factory to provide operators new Internet-based tools for Internet Things, with the aim of maximizing the efficiency of the systems and make full use of the information available in the different areas of the manufacturing process.
It is expected to develop an enhanced reality environment along with a webservice architecture that integrates information from design and production departments and supports the employee in remote maintenance operations.
For the space domain, the satellite layout is constantly being observed with a plethora of sensors to prevent some component or sub-system from finishing in an unsuitable state of operation, if not deleterious, for the whole mission.
It will be defined a methodological process consisting of a set of algorithms and data analysis applications, aimed at continuously monitoring the health status of an orbiting platform (or a deep-space one) at the level of the individual component subsystems. The target system will provide an early identification of intervention needs and opportunities, in order to improve the failure isolation and troubleshooting processes.
In addition, it is equally important to define a plan for cross-fertilization among space, aeronautical and railway markets, precisely pivoting on the methodology of automatic health monitoring.