Abstract
"Daily sensor measurements from an urban waste water treatment plant for operational efficiency analysis."
Description
Dataset Context
Derived from real-world sensors in a municipal water treatment facility, monitoring the biological and chemical state of the water cycle.
Measurement Points
- Input: Flow, pH, conductivity, and solids concentration.
- Process: Performance levels of primary and secondary sedimentation.
- Output: Final water quality metrics before release.
Utility
Optimizing chemical usage and predicting treatment failures in smart city infrastructure.
Data Preview
| Date | pH_In | Cond_In | Flow_m3 | Efficiency |
|---|---|---|---|---|
| 2024-06-01 | 7.2 | 1450 | 25000 | 94% |
| 2024-06-02 | 6.9 | 1480 | 26500 | 92% |
Showing first few rows for preview
Cite This Dataset
GitHub (2026). Urban Waste Water Treatment Plant Data. [Dataset]. GitHub. https://github.com/chrico03/IoT-Timeseries-Datasets
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Original source: GitHub (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 12, 2026
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