Digital and Sustainable Harbour 2030
How can technologies help manage multiple activities in a central urban environment? Apro Formazione tells us about DIGITAL and SUSTAINABLE HARBOUR 2030, an example of Smart Cities project being implemented in Genoa in which data will be used to provide services, improve safety and accessibility of spaces and communicate environmental and cultural information. DSH2030 is a project developed by ETT S.p.A., Marina Porto Antico SpA, Aitrust, BF Partners, Circle Garage, Colouree, Netalia in collaboration with (MaLGa - Machine Learning Genoa Center).
The Porto Antico di Genova of Genoa, a marina with tourist attractions, university premises, commercial and residential areas, is experimenting a big regeneration process (urban, economic and social) where technology plays a significant role.
The area has already implemented Green IoT technologies that provide data to governance tools designed to prevent and contain pollution, improve water quality in the port area and develop innovative systems for assessing the quality of port water and will now be part of DSH2030 - DIGITAL AND SUSTAINABLE HARBOUR 2030 project.
DSH2030 aims to outline innovative knowledge management methods and applications oriented at promoting sustainable forms of water front management and development: the goal is the creation of an enhanced digital twin of the marina to allow the monitoring and optimisation of processes concerning planning and management of resources (water, energy, etc.), people and vehicle flows (on land and sea) for both safety and commercial purposes and technological installations.
The project will create a platform based on a set of innovative technologies and IoT tools, a cloud data-storage and Machine Learning and optimisation techniques applied to AI to provide smart measuring and flow analysis tool using detection of people and movement, maximum and minimum crowd points, report of faults in buildings and street fixtures and monitoring and directing of flows via attractors (VR / AR / Gamification).
Data can help Smart Engineers and Smart Technicians identify issues originating from critical or potentially dangerous events, develop predictive logic to take corrective action and provide citizens, tourists and visitors with “intelligent and adaptive routes” and information.
For more details see this document.
Thanks to ETT S.p.A. Gruppo SCAI for sharing information about its projects.