Descripción del proyecto: 

Due to population growth and global warming, many Latin American cities will have water shortage problems in the near future. Paradoxically, there are years when precipitation is high and the El Niño Phenomenon causes floods that damage the cities in the lower basin. Therefore, it is necessary to relate climatic variables to manage water resources in the case of droughts and to prevent damages by installing early warning systems close to end-users to reduce the damages in the populations flooded in high precipitations. The FOG2 project aims to setup a platform to discuss the design, implementation, and testing of a wireless network infrastructure and a fog computing-based catcher system in the mountain/river areas of Brazil and Ecuador, called Warka water tower, to collect and harvest potable water from the air and deliver an early hazard warning system. In this project, we will investigate the feasibility to apply the fog harvesting technique and deploy removable metal structures in a surface hydrographic basin located in the Andes of Ecuador. A data collection system will be deployed to interconnect all the Warka water tower sensor data, as well as the river flow sensors. A fog computing system will be deployed next to the sensor node in order to perform real-time sensor data processing. The pre-processed data will be sent to cloud/edge computing system to find relationships between the collected data and the flow rate using advanced machine learning algorithms. The insights will then be transmitted in real-time by the flow conditions in case of an atypical precipitation.

Investigador: David Vinicio Carrera Villacrés - dvcarrera@espe.edu.ec