The overall concept of MANTIS is to provide a proactive maintenance service platform architecture based on Cyber Physical Systems that allows to estimate future performance, to predict and prevent imminent failures and to schedule proactive maintenance. Maintenance is no longer a necessary evil that costs what it costs, but an important function that creates additional value in the business process as well as new business models with a stronger service orientation. Physical systems (e.g. industrial machines, vehicles, renewable energy assets) and the environment they operate in, are monitored continuously by a broad and diverse range of intelligent sensors, resulting in massive amounts of data that characterise the usage history, operational condition, location, movement and other physical properties of those systems. These systems form part of a larger network of heterogeneous and collaborative systems (e.g. vehicle fleets or photovoltaic and windmill parks) connected via robust communication mechanisms able to operate in challenging environments. MANTIS consists of distributed processing chains that efficiently transform raw data into knowledge while minimising the need for bandwidth. Sophisticated distributed sensing and decision making functions are performed at different levels in a collaborative way, ranging from local nodes to locally optimise performance, bandwidth and maintenance; to cloud-based platforms that integrate information from diverse systems and execute distributed processing and analytics algorithms for global decision making. The research addressed in MANTIS will contribute to companies' assets availability, competitiveness, growth and sustainability. Use cases will be the testing ground for the innovative functionalities of the proactive maintenance service platform architecture and for its future exploitation in the industrial world. Results of MANTIS can be utilised directly in several industry areas and different fields of maintenanance.

ConnectinGEO’s primary goal is to link existing coordinated Earth Observation networks with science and technology (S&T) communities, the industry sector and the GEOSS and Copernicus stakeholders. The aim is to facilitate a broader and more accessible knowledge base to support the needs of the GEO Societal Benefit Areas (SBAs) and their users. A broad range of subjects from climate, natural resources and raw materials, to the emerging UN Sustainable Development Goals (SDGs) will be addressed. A tangible outcome of the project will be a prioritized list of critical gaps within the European Union in observations and the models that translate observations into practice-relevant knowledge. The prioritized list will include the research activities required to address these gaps. Ultimately, this will increase coherency of European observation networks, increase the use of Earth observations for assessments and forecasts and inform the planning for future observation systems through a sustainable approach that will survive beyond the end of this project. ConnectinGEO has 4 major objectives: a) Enable a European Network of Earth Observation Networks (ENEON) including space-based, airborne and in-situ observations networks. b) Provide a methodology to convert the knowledge needs into a coherent observation and measurement compendium for ENEON strategy and development. c) Apply the ConnectinGEO methodology to identify and assess the priority of gaps. d) Open the results of the project and exploit them beyond the project end.