Flow Measurements in Sewer Systems Based on Image Analysis: Automatic Flow Velocity Algorithm
D. Jeanbourquin, D. Sage, L. Nguyen, B. Schaeli, S. Kayal, D.A. Barry, L. Rossi
Proceedings of the Seventh International Conference on Sustainable Techniques and Strategies in Urban Water Management (NOVATECH'10), Lyon, French Republic, June 27-July 1, 2010, pp. 180–189.
Discharges of combined sewer overflows (CSOs) and stormwater are recognized as an important source of environmental contamination. However, the harsh sewer environment and particular hydraulic conditions during rain events reduce the reliability of traditional flow measurement probes. An in situ system for sewer water flow monitoring based on video images was evaluated. Algorithm to determine water velocities was developed based on image-processing techniques. The image-based water velocity algorithm identifies surface features and measures their positions with respect to real world coordinates. A web-based user interface and a three-tier system architecture enable remote configuration of the cameras and the image-processing algorithms in order to calculate automatically flow velocity on-line. Results of investigations conducted in a CSO were presented. The system was found to measure reliably water velocities, thereby providing the means to understand particular hydraulic behaviors.
@INPROCEEDINGS(http://bigwww.epfl.ch/publications/jeanbourquin1001.html,
AUTHOR="Jeanbourquin, D. and Sage, D. and Nguyen, L. and Schaeli, B. and
Kayal, S. and Barry, D.A. and Rossi, L.",
TITLE="Flow Measurements in Sewer Systems Based on Image Analysis:
{A}utomatic Flow Velocity Algorithm",
BOOKTITLE="Proceedings of the Seventh International Conference on
Sustainable Techniques and Strategies in Urban Water Management
({NOVATECH'10})",
YEAR="2010",
editor="",
volume="",
series="",
pages="180--189",
address="Lyon, French Republic",
month="June 27-July1,",
organization="",
publisher="",
note="")