Water Distribution

Oral

398092 - A Comparison Study of Mobile Sensor Designs for Water Distribution System Inline Monitoring

Wednesday, June 6
4:00 PM - 5:30 PM
Location: Lakeshore C
Co-Authors: Mohsen Aghashahi, College Station, TX – Texas A&M University; Amin Rasekh, Atlanta, GA – Sensus; Carlos Mejia, College Station, TX – Texas A&M University; Costas Georghiades, College Station ,TX – Texas A&M University; M Katherine Banks, College Station, TX – Texas A&M University

Inline mobile sensors have been developed during the recent years for real-time quality and leakage monitoring in the water distribution systems. Comparing to the online, fixed sensor technologies the inline mobile sensors have the advantages of fast response and high spatial resolution to a contamination or leakage event inside the water pipeline networks. With the data provided by inline mobile sensors, a faster and more accurate reaction to an emergency event could be taken. Considering the high turbulent flows, and limited underground GPS signal in the water pipelines, it is critical to understand the real-time location and movement of a sensor after the sensor was inserted. The design of a robust and fluid dynamically based device becomes essential points for sensor development. This research has designed three different types of inline mobile sensors. A spherical design will only be flowing with the water without power; an arm-actuated prototype has wheeled-arms to guide the position of sensor inside pipes; and a crawler-type has multiple springed-claws attached to the pipe wall to locate the sensor. A hydraulic testbed was also built for the movement test, with flow control and different types of pipe connections. The three sensor designs were tested in the testbed and analyzed to travel through different pipe configurations, including simple straight pipe, pipes with variation of diameters, elbows, 3-plane and 4-plane pipes. The effect of flow velocity was investigated as well. This research also provides a few of ideas for future design of the inline mobile sensors.

Ruoxi Wu

Assistant Research Scientist
Texas A&M University

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398092 - A Comparison Study of Mobile Sensor Designs for Water Distribution System Inline Monitoring



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