Space
Research and development activities were geared towards creating a set of innovative tools and technologies to construct space- and ground-based technological infrastructures to acquire, process and manage satellite data (Earth observation and space exploration), as well as to provide operators and end-users (regional and scientific bodies) with the necessary tools (innovative products and value-added services) for their operational, management and decision-making activities in both the application and the management of data acquired from scientific missions.
The project covered a wide range of space-related issues ranging from exploration of the Universe to Earth observation, including systems, the management of remote data reception, and awareness-raising activities for regional consumer acceptance of the use of space systems.
The theme of the exploration of the Universe was also strategically important to the scientific and industrial team. There were five key areas of focus: innovative sensors for the exploration of the universe, electric propulsion, unconventional propulsion, space transport, and plasma phenomena and processes in space.
EnginSoft was involved in the development, including the graphical user interface (GUI) of the decision-making software for a 3D kinetic code for simulating plasma thrusters.
DPLANETEK ITALIA, ALTA SPA E CENTROSPAZIO, CNR - CONSIGLIO NAZIONALE DELLE RICERCHE, ENEA, ENGINSOFT SPA, GAP - GEOPHYSICAL APPLICATIONS PROCESSING SRL, IMT - INGEGNERIA MARKETING TECNOLOGIA SRL, POLITECNICO DI BARI, SIT GROUP - SITAEL SPA, UNIVERSITÀ DEGLI STUDI DI BARI, UNIVERSITÀ DEL SALENTO
Funding Scheme MIUR Programma Operativo Nazionale (PON 03) Ricerca e Competitività| Call identifier MIUR DD 713/Ric. Del 29/10/2013
42 months
Luglio 2013 – Dicembre 2016
Planetek Italia s.r.l.
Marco Perillo
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Some of our competences in research and technology transfer
Research project
Development of a novel “manufacturing system-level quality and productivity optimizer tool” enabling the evaluation of the system level impacts of the defect avoidance policies that can be adopted within single processes.
Research project
The project aimed to develop an open integrated framework that connects materials models at various levels of complexity, experimental data sets and commercial information (e.g. ingredients and processing costs), so that decision makers can use a wider variety of key performance indicators.
Research project
Attraverso un innovativo approccio Digital Twin in ambito Prognostics Health Monitoring (PHM) è possibile l’individuazione di comportamenti anomali dei sistemi monitorati, che potrebbero portare a rotture impreviste durante il servizio, aumentando la capacità di diagnostica di guasto. Il monitoraggio consente una migliore pianificazione degli interventi manutentivi potendo valutare costi dell’intervento ed efficienza residua del sistema.