All over the world, in particular in underdeveloped countries, people die every year by the thousands because of floods. The sudden rise of water levels often come unannounced and people have no time to react before they are caught in a bad spot. Modern countries commonly have measure equipment deployed around problematic areas but they are usually expensive for third world countries to afford.
[Benne] project devises a low-cost, cloud-connected, water level measuring station to allow remote and central water level monitoring for local authorities. He hopes that by being able to monitor water levels in a more precise and timely fashion, authorities can act sooner to warn potentially affected areas and increase the chance of saving lives in case of a natural disaster.
At the moment, the project is still in an early stage as they are testing with different sensors to figure out which would work best in different scenarios. Latest version consists essentially in an Arduino UNO, an ultrasonic distance sensor, and a DHT temperature/humidity sensor to provide calibration since these characteristics affect the speed of sound. Some years ago, we covered a simple water level monitoring using a Parallax Ping sensor, but back then the IoT and the ‘cloud’ weren’t nearly as fashionable. They also tested with infrared sensors and a rotary encoder.
They made a video of the rotary encoder, which we can see below:
Filed under: The Hackaday Prize