A general-purpose method for Pareto optimal placement of flow rate and concentration sensors in networked systems – With application to wastewater treatment plants

Kris Villez; Peter A. Vanrolleghem; Lluís Corominas

doi:10.1016/j.compchemeng.2020.106880

A general-purpose method for Pareto optimal placement of flow rate and concentration sensors in networked systems – With application to wastewater treatment plants

Kris Villez, Peter A. Vanrolleghem, Lluís Corominas

Sensors and Electronics

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

The advent of affordable computing, low-cost sensor hardware, and high-speed and reliable communications have spurred ubiquitous installation of sensors in complex engineered systems. However, ensuring reliable data quality remains a challenge. Exploitation of redundancy among sensor signals can help improving the precision of measured variables, detecting the presence of gross errors, and identifying faulty sensors. The cost of sensor ownership, maintenance efforts in particular, can still be cost-prohibitive however. Maximizing the ability to assess and control data quality while minimizing the cost of ownership thus requires a careful sensor placement. To solve this challenge, we develop a generally applicable method to solve the multi-objective sensor placement problem in systems governed by linear and bilinear balance equations. Importantly, the method computes all Pareto-optimal sensor layouts with conventional computational resources and requires no information about the expected sensor quality.

Original language	English
Article number	106880
Journal	Computers and Chemical Engineering
Volume	139
DOIs	https://doi.org/10.1016/j.compchemeng.2020.106880
State	Published - Aug 4 2020

Funding

The authors thank Sergii Iglin for his graph theory toolbox and Eli Duenisch and Will Robertson for code facilitating visualisation and reporting of our results. Funding for this study was provided by Peter Vanrolleghem’s Discovery Grant awarded by NSERC (Natural Sciences and Engineering Research Council of Canada). Peter Vanrolleghem holds the Canada Research Chair on Water Quality Modelling. Lluís Corominas acknowledges the Ramon and Cajal grant RYC-2013-14595 and the I3 consolidation from the Spanish Ministry. ICRA is recognized as a consolidated research group by the Catalan Government with code 2017-SGR-1318.

Funders	Funder number
Ramon and Cajal	RYC-2013-14595
Natural Sciences and Engineering Research Council of Canada

Keywords

Bilinear balance equations
Fault detection
Multi-objective optimization
Optimal experimental design
Redundancy
Sensor placement

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.compchemeng.2020.106880

Cite this

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A general-purpose method for Pareto optimal placement of flow rate and concentration sensors in networked systems – With application to wastewater treatment plants

Abstract

Funding

Keywords

UN SDGs

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