Meet the
Pipe Sentinel
A cost-effective, miniaturized diagnostic "Smart Ball" engineered to secure global High-Pressure Reverse Osmosis (HP-RO) water infrastructure by detecting leaks from the inside out.
This dashboard outlines our solution to a critical infrastructure vulnerability, detailing the problem, our hardware/software innovation, and simulated results.
The Problem
HP-RO desalination plants operate under extreme pressures (up to 80 bar). Undetected leaks lead to:
- ✗ Significant energy losses
- ✗ Massive freshwater waste
- ✗ Risk of catastrophic pipe failure
Our Innovation
We developed an inexpensive, miniaturized in-line diagnostic solution specifically designed for high-pressure, highly corrosive environments.
- ✓ Democratization of Tech: Accessible to medium-sized facilities.
- ✓ Hardware Optimization: Replaced acoustics with industrial-grade pressure transducers & IMUs.
- ✓ Computational Intelligence: Custom MATLAB/Simulink algorithms to process mechanical leak signatures.
System Architecture
Explore the hardware and software components that power the Pipe Sentinel. Click on the components below to understand how they work together to capture and analyze mechanical leak signatures.
1. Hardware Unit (The Ball)
2. Software Unit
Select a Component
Click on any module on the left to view its technical specifications, protocols, and role in the Pipe Sentinel system.
Live Leak Detection Simulation
Experience the core algorithm. This interactive chart simulates MATLAB output of the device traversing a pipeline (baseline 70 bar). It hunts for a unique mechanical signature: a localized pressure drop immediately followed by a flow-induced turbulence spike (IMU).
Technology Comparison Matrix
How Pipe Sentinel stacks up against traditional acoustic SmartBall technologies currently used in heavy industry.
Performance vs. Viability
Pipe Sentinel (Our System)
The key of our system is the integration of low-cost sensors (analog pressure sensor and IMU), which makes the system very accessible and affordable for medium-sized enterprises.
Traditional SmartBall
Current solutions are based on highly expensive sensors and involve a large infrastructure and specialized operating staff.
Future Work & Roadmap
Our development roadmap focuses on two key advancements to evolve the project from a diagnostic tool into a professional, industrial-grade predictive solution.
Physical Prototype
Building a real-world physical prototype using ESP32 for real-time data acquisition and wireless transmission. We plan to implement advanced signal processing, including Kalman filters, to test and ensure high reliability in actual noisy industrial environments.
Predictive Intelligence
Upgrading from reactive detection to Predictive Maintenance. By implementing a CNN-LSTM deep learning model, we plan to process historical time-series sensor data to identify structural degradation patterns and predict future failure sites before leaks occur.