NAIADES Ecosystem envisions transforming water sector through automated and smarter water resource management and environmental monitoring, achieving a high level of water services in both residential or commercial consumers, exploiting the efficient use of physical and digital components of water ecosystem. NAIADES will apply in various situations on diverse big data in terms of sources, data types, and entities represented that is collected by such water monitoring and control systems in Europe, including (i) the water consumption in both retail and corporation efficiency, (ii) the confidence of water consumers (including special groups as ageing, disabled persons and children), by measuring the water quality in residential buildings, offices and public infrastructures (mall, hospital), (iii) the safety and reliability through the detection of warning signs from equipment failures and maintenance report, and (iv) personalized persuasive feedback and recommendation services provided to the NAIADES App Users aiming to enhance public awareness on water consumption and usage savings, and promote user engagement in water conservation activities. NAIADES AI elements, aim to provide multidimensional intelligence on the water ecosystem by introducing: Situational Intelligence - by collecting real-time data from the buildings as they are in operation and analysing it in three different dimensions; Spatial, Temporal and Nodal; Operational intelligence - by using the power of data and its capability to extract the right information at the right time to provide insight into water infrastructure operation and improve the effectiveness of maintenance activities; Asset intelligence: the continuous data streams produced from various sub-systems in buildings will help OEMs build digital twins that represent physical systems in real-time. NAIADES ecosystem will be validated and demostrated in three heterogeneous pilot sites.

The overall goal of ROCSAFE is to fundamentally change how CBRNe events are assessed, in order to and ensure the safety of crime scene investigators by reducing the need for them to enter high-risk scenes when they have to determine the nature of threats and gather forensics. For this, ROCSAFE will make use of cost-effective modern remotely-controlled robotic air and ground vehicles (RAVs/RGVs) that are designed for use in rain, wind, and challenging ground surfaces and obstacles. First, RAVs will assess the scene. These will have cameras and can carry an array of innovative new high-performance and rugged miniaturised sensor systems for RN, chemical and biological threats. To reduce the scene commander’s cognitive load, ROCSAFE will include new Central Decision Management software and a Command Centre. All images and data will be streamed to this, where it will be analysed and displayed on a sophisticated and intuitive interface with maps and video, showing results of analytics and giving readings geographical context. This will enable the scene commander to assess the nature of threats, develop an Action Plan and an Evidence Plan, supported as needed by the Central Decision Management. It will also assist in coordinating sensors and mobile units. Its data analytics will provide fusion of multiple sensor data sources, to allow probabilistic reasoning about the most likely threats and likely locations of epicentres. After the scene is assessed, RGVs will be dispatched to collect forensic material/evidence, with automatically-optimised routes to avoid hazards. They will have innovative new equipment for forensics collection that will automate best practices. Forensic material will be collected, bagged, tagged, documented, and stored by the RGV. Thus, ROCSAFE will ensure that CBRNe scenes are assessed more rapidly and thoroughly than is currently possible, and that forensic evidence is collected in a manner that stands up in court, without putting personnel at risk.