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Related Experiment Video

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Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

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On-line estimation and detection of abnormal substrate concentrations in WWTPs using a software sensor: a benchmark

F Benazzi¹, K V Gernaey, U Jeppsson

¹Industrial Control Center, Department of Electronic and Electrical Engineering, University of Strathclyde, 50 George street, Glasgow G1 1QE, UK.

Environmental Technology

|September 21, 2007

Summary

A new software sensor monitors wastewater, detecting abnormal substrate levels using dissolved oxygen. This system provides rapid alarms for toxic loads and shock loads without direct substrate measurements.

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Area of Science:

Environmental Engineering
Wastewater Treatment Technology
Process Monitoring and Control

Background:

Wastewater treatment plants (WWTPs) face challenges monitoring substrate concentrations (readily biodegradable S(s) and slowly biodegradable X(s)).
Direct measurements of S(s) and X(s) are often unavailable in real-time WWTP operations.
Influent variations, such as toxic or shock loads, can disrupt treatment processes.

Purpose of the Study:

To propose a novel on-line monitoring approach for detecting abnormal S(s) and X(s) concentrations.
To develop a software sensor that utilizes dissolved oxygen (DO) measurements for alarm activation.
To address the challenge of unavailable direct S(s) and X(s) measurements in WWTPs.

Main Methods:

Implementation of a software sensor based on an extended Kalman filter observer.
Modeling disturbances using Fast Fourier Transform (FFT) and spectrum analyses.
Utilizing dissolved oxygen measurements for estimating S(s) and X(s) concentrations.

Main Results:

The software sensor achieved response times of approximately 60 minutes for S(s) and 90 minutes for X(s).
The extended Kalman filter demonstrated fast and accurate convergence within 2 hours in case studies.
Performance evaluation highlighted the sensor's capability even without direct S(s) and X(s) measurements.

Conclusions:

The proposed software sensor offers a viable solution for on-line monitoring of substrate concentrations in WWTPs.
It provides timely alarms for process disturbances, enhancing operational stability.
Further discussion addresses estimation challenges and potential applications in broader wastewater monitoring scenarios.