Virtual prototyping and validation of a system for flood and fire risk mitigation in wetlands

Abstract

Our paper presents the virtual prototyping, and the experimental validation of a hardware and software system aimed to use two novel fire and flood sensors based on miniature sensing technology, to process the real-time acquired data using business intelligence tools to provide input for detection of sudden increase in temperature and water level, to generate visual alerts to wetland administering authorities for better crisis assessment and early response to wetland threats. At the end of the project, which was successful from the point of view of the KPIs too, we prepared the system so that potential users could find it on the hosting platform, test and hopefully want to use our solution, docker based and including all the components developed in virtual machines. The simulator was adapted to better match the real sensors.