Abstract
Sensors are increasingly deployed for process monitoring and control. These produce on-line measurements at a high frequency, in parallel with low-frequency laboratory measurements. Compared to laboratory practices, sensor data quality assessment and control practices are far less structured at most utilities. This leads to inaccurate sensor data with unknown uncertainty factors. This chapter shows how to establish standard operating procedures (SOPs) to support sensor data quality assessment and control and subsequent maintenance actions by producing relevant sensor metadata. Furthermore, SOPs are provided for the most commonly used wastewater quality sensors, inspired by utility and academic best practices. This chapter builds on definitions provided in Chapter 3 and provides additional definitions specifically related to sensors maintenance. Chapter 6 complements the methods in this chapter, which are based on reference measurements, with data-analytical techniques.
Original language | English |
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Title of host publication | Metadata Collection and Organization in Wastewater Treatment and Wastewater Resource Recovery Systems |
Publisher | IWA Publishing |
Pages | 103-162 |
Number of pages | 60 |
ISBN (Electronic) | 9781789061154 |
ISBN (Print) | 9781789061147 |
DOIs | |
State | Published - Jun 15 2024 |
Keywords
- Bias
- Data quality
- Drift
- Quality assessment
- Quality control
- Sensor maintenance
- Sensor validation