Urban Drainage Sensor Data Toolkit

Live demo

This project has a one-click Streamlit demo using public-safe synthetic or example data: Launch demo.

Problem

Urban drainage monitoring systems combine telemetry from remote devices, rainfall gauges, SCADA-style exports, folder structures and field metadata. Before these data can support reporting or machine learning, they need robust QA/QC and safe publication boundaries.

Approach

• Generate synthetic monitoring telemetry for public demonstrations.
• Parse and clean timestamps, identify duplicates and estimate missing-data periods.
• Create daily QA/QC summaries, static HTML/CSV reports and report plots.
• Run optional sensor-health anomaly screening on synthetic telemetry.
• Generate synthetic monitoring-map outputs without real coordinates, site IDs or client information.

What it demonstrates

This project is the best candidate for a first one-click demo because it is visual, synthetic by design and directly shows telemetry QA/QC, reports, anomaly screening and map outputs.