Case Studymqttflood monitoringaws s3float sensor
Developer Builds Real-Time River Flood Monitor
5.0
A developer in Norwich, UK, has built a real-time river flood monitoring device that uses an AVR IoT Mini Cellular board, an IR float sensor and MQTT to publish 0–30 cm water-level readings to AWS every 10 seconds. The prototype streams data to an AWS-backed website for commuters, boaters and city authorities to view local conditions, aiming to improve route safety, maintenance planning and environmental research.
Key Points
- 1Uses AVR IoT Mini Cellular and IR float sensor to publish 0–30 cm water-level readings via MQTT every 10 seconds
- 2Provides localized, real-time flood visibility missing from upstream historical sensors and improves route safety and planning
- 3Enables practitioners to integrate live data into websites, AWS S3 archiving, and future ML flood prediction
Scoring Rationale
Practical, directly usable prototype with cloud integration, but limited novelty and local scope limit broader impact.
Sources
Public references used for this report.
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