Inspiration
Summer of last year, there was a major leak in Delhi, supply dropped by 25%. This happened because of two reasons. Firstly, MCD(Municipal District of Delhi) was unable to detect, analyse and effectively alert affected stakeholders. To combat this we created a contraption where we embed acoustic sensors in water pipes to identify leaks.
What it does
Our system continuously collects data from pressure, flow, acoustic, and water quality sensors placed in water pipelines. This data is sent to a central database and analyzed using Python scripts. When anomalies such as leaks or contamination are detected, the system sends real-time alerts via SMS to residents, businesses, and the municipal water department.
How we built it
We built it through Python code processes sensor signals, identifies anomalies, and triggers alerts. These sensor signals come from pressure, flow, acoustic, and water quality sensors simulate real-world pipeline monitoring that detect anomalies.
Challenges we ran into
Ensuring our product works in almost all circumstances and ensuring accuracy in anomaly detection however we combatted this by setting baseline thresholds.
Accomplishments that we're proud of
Designed a clear proof of concept that demonstrates how IoT and acoustic sensors can transform water system monitoring.
What we learned
Visual modeling helps bridge the gap between concept and real-world implementation.
What's next for Reimagining Acoustic Sensors for Smarter Water Systems
Partnering with water utilities to pilot the system in real-world water networks across the globe.
Built With
- canva
- colab
- python
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