Abstract
Efficient monitoring of water systems and proper use of the collected data in further applications such as modelling, forecasting influent water quality and real-time control depends on careful data quality control. Given the size of the data sets produced nowadays in online water quality monitoring schemes, automated data validation is the only feasible option. In this paper, software tools for automatic data quality assessment with a practical orientation are presented. The developments from three organizations ranging from simple to more complex methods for automated data validation are described and evaluated for water quality measurements collected at the inlet of wastewater treatment plants, where probably the hardest measurement conditions are found. The objective of this collaborative effort is to come up with better tools and improved approaches for implementing a successful automatic data quality control procedure.
Original language | English |
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Publication date | 2013 |
Number of pages | 14 |
Publication status | Published - 2013 |
Event | 86th Annual Water Environment Federation Technical Exhibition and Conference (WEFTEC 2013) - Chicago, United States Duration: 5 Oct 2013 → 9 Oct 2013 Conference number: 86 |
Conference
Conference | 86th Annual Water Environment Federation Technical Exhibition and Conference (WEFTEC 2013) |
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Number | 86 |
Country/Territory | United States |
City | Chicago |
Period | 05/10/2013 → 09/10/2013 |
Keywords
- Fault detection
- Filtering
- On-line monitoring
- Outlier detection
- Sensors