FloodWatch: Devising an Autonomous Cyber Physical System for Real-Time Flood in an Operational Framework 384 views

Flooding has devastating impacts in Southeast Asia, in part due to the lack of appropriate infrastructure. As a part of my involvement in the FloodWatch research group, I am devising an autonomous cyber physical system for real-time flood intelligence that can be leveraged by citizens in a progressive webapp. FloodWatch is a smart city service centered around the development of cyber physical system infrastructure for disaster intelligence and forecasting. The service provides a frontend progressive web application (PWA), live sensor readings through LoRAWAN router technology, and predictive insights on flood susceptibility. To produce insights on susceptibility, I am working on several machine learning pipelines to ensure accuracy, explainability and corroboration. The current approach combines an existing hydrological model called HEC-RAS with a customized Artificial Neural Network (ANN) to produce geographical flood inundation that is then interpreted and overlaid on the map of Vietnam using a region tileset automation script. Additionally, I am devising a corroboration mechanism for crowdsourced flood reports by using LiDAR water level interpretation, computer vision for flood label detection of live camera feeds.

BS (Bachelor of Science)

English

All rights reserved (no additional license for public reuse)

2023-12-17