Team project · BMC pilot, CSR funded
FloodGuard
Team of four students, The Cathedral and John Connon School
FloodGuard is a team project developing an affordable system to monitor conditions inside stormwater drains and provide early alerts. I lead engineering, mathematical modelling, and data analysis, using regression to relate sensor readings to water flow and evaluate measurement error. I also contribute to device design and microcontroller programming, while exploring how accuracy, cost, and deployment constraints can be balanced. The team presented the prototype to officials of the Brihanmumbai Municipal Corporation in Mumbai, where it is being taken forward as a BMC pilot with CSR funding, and wrote up the bench results in a research paper.
- 4students on the team
- 8flow speeds tested, 0.1 to 2.0 m/s
- 5repeats at every speed
- R² ≥ 0.90fit target, met
- 30 salert target, often 15 s
Methods
- Regression
- Sensor Calibration
- Error Analysis
- Microcontroller Programming
Guidance and output
- When
- January 2026 to present
- Output
- Research paper: a turbine-based IoT prototype for flow anomalies in urban stormwater drains. The paper states plainly what is not yet shown: field-scale flood prediction and validated two-way flow measurement.
In the workshop and in the room
Read and verify
- FloodGuard, the project site (opens in a new tab)
- Read the research paper (PDF, 7 pages) (opens in a new tab)
- Mid-day coverage: Young Mumbaikars will aim to tackle monsoon flooding with FloodGuard (opens in a new tab)
Connected work
- Tata Power Hydros calibration
- Sensor placement paper stormwater