How neelabhsinha/leakage-detection-in-smart-water-distribution-systems works
This research project uses experiments on an IoT smart-water-grid testbed to collect data, analyze leak-related measurements, select features, and train and test an ANN classifier. The README documents the workflow and reports evaluation metrics; the notebook is the only listed implementation file. The collected data is not publicly shared, and no notebook source was available to verify finer-grained code wiring.
Main entry points: Analysis_and_Model.ipynb Analysis notebook · Visualizations Analysis visualizations
Components 10
Data acquisition
- Water-grid testbed
- PLC and SCADA
- Sensor measurements
Analysis and modeling
- Analysis notebook
Analysis_and_Model.ipynb - Data analysis
Analysis_and_Model.ipynb - Feature extraction
Analysis_and_Model.ipynb - ANN classifier
Analysis_and_Model.ipynb
Evaluation
- Model results
Analysis_and_Model.ipynb - Analysis visualizations
Visualizations
Other components
- Research team
Connections 11
- Research team → Water-grid testbed: runs experiments
- Water-grid testbed → PLC and SCADA: supports control and collection
- Water-grid testbed → Sensor measurements: produces data
- PLC and SCADA → Sensor measurements: collects data
- Sensor measurements → Analysis notebook: provides input
- Analysis notebook → Data analysis: analyzes data
- Data analysis → Feature extraction: informs selection
- Feature extraction → ANN classifier: provides features
- Analysis notebook → ANN classifier: trains and tests
- ANN classifier → Model results: yields metrics
- Data analysis → Analysis visualizations: documents analysis