Exposure of citizens to potential disasters has led to vulnerable societies that require risk reduction measures. Drinking water is one main source of risk when its safety and security is not ensured. aqua3S combines novel technologies in water safety and security, aiming to standardize existing sensor technologies complemented by state-of-the-art detection mechanisms. On the one hand sensor networks are deployed in water supply networks and sources, supported by complex sensors for enhanced detection; on the other hand sensor measurements are supported by videos from Unmanned Aerial Vehicles (UAVs), satellite images and social media observations from the citizens that report low-quality water in their area (e.g. by colorization), creating also social awareness and an interactive knowledge transfer. Semantic representation and data fusion provides intelligent DSS alerts and messages to the public through first responders’ mediums. The proposed technical solution is designed to offer a very effective detection system, taking into account the cost of the aqua3S platform and targets at very high return over investment ratio. A strategy for the insertion of aqua3S solution into the market is designed towards the standardization of the proposed technologies and the aqua3S secure platform.
HLRS is responsible for the optimization (in terms of performance and parallel scalability) of the algorithms for threat detection developed by the University of Exeter. For this purpose, the following aspects will be targeted: (i) high algorithmic performance; (ii) high sustained serial performance; and (iii) parallel scalability and efficiency. The task will investigate traditional HPC methodologies, such as efficient programming paradigms in conjunction with individualized programming models.
|Funding Agency||EU H2020|
|Runtime||1.9.2019 - 31.8.2022|