Abstract
This chapter provides a comprehensive overview of the main steps for algorithmic sensor signal quality assessment, which can enhance the decision-making process for water resource recovery facility (WRRF) operation and optimization. It introduces the concept of redundancy as the basis for data quality assessment. It also explains the typical data processing pipeline, which consists of preliminary analysis, data pre-processing, and specific algorithmic approaches. Each of these processes is presented and discussed in three separate sections. Importantly, this chapter introduces the main approaches for data quality assessment, provides guidelines for selecting the most suitable one and the key performance indicators to evaluate them and explains how to collect metadata through such an algorithmic approach.
Original language | English |
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Title of host publication | Metadata Collection and Organization in Wastewater Treatment and Wastewater Resource Recovery Systems |
Editors | Kris Villez, Daniel Aguado, Janelcy Alferes, Queralt Plana, Maria Victoria Ruano, Oscar Samuelsson |
Publisher | IWA Publishing |
Chapter | 6 |
Pages | 163-240 |
Number of pages | 78 |
ISBN (Electronic) | 978-1-78906-115-4 |
ISBN (Print) | 978-1-78906-114-7 |
DOIs | |
Publication status | Published - 15 Jun 2024 |
MoE publication type | A3 Book section, Chapters in research books |
Keywords
- Data processing
- Data visualization
- Data-driven methods
- Mechanistic methods
- Quality assessment
- Redundancy