Abstract-The industrial manufacturing sector has substantially evolved over the past decade, with the collect and analyze of sensors and apparatus data. The manufacturing processes "digitalization" has resulted in huge data management concerns, as manufacturing companies need to aggregate value for productivity improvement. The Industry 4.0 concept involves many technologies in order to challenge this issue. The paper presents an architecture framework to allow data analysis in different factories in the Industry 4.0 context. A MBSE approach is proposed and the use of SysML is assessed in that context.

The paper discusses an experience in using SysML and the TTool software for the feasibility study of a novel multispectral camera for agricultural monitoring. Innovation lies in both automatic image processing onboard and mission control capabilities designed to comply with a 27U microsatellite. In addition to the mission accomplishment control, this innovative payload is capable of sending processed data directly to farms, critically reducing the delay between image making and its use in the field. This paper shows how MBSE and SysML may comply with phases 0 and A of a space project.