Design and Implementation of a 3D Printed Sensory Ball for Wireless Water Flow Monitoring

Zhang, Yi; Ghannam, Rami; Valyrakis, Manousos; Heidari, Hadi

doi:10.1109/ucet.2019.8881861

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…Recent technological advancements make it possible for sediment entrainment to be assessed directly, using novel tools, instead of traditionally monitoring surrogate flow metrics [2,11]. Using sensors in the field of riverbed sediment transport has been explored by multiple researchers [12][13][14][15][16][17][18][19]. However, none of the work presented in literature has used such smart sensors to establish a link between logged readings and sediment entrainment based on derived performance indicators.…”

Section: Introductionmentioning

confidence: 99%

The Design and Calibration of Instrumented Particles for Assessing Water Infrastructure Hazards

AlObaidi

Valyrakis

2020

JSAN

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The highly dynamical entrainment and transport processes of solids due to geophysical flows is a major challenge studied by water infrastructure engineers and geoscientists alike. A miniaturised instrumented particle that can provide a direct, non-intrusive, low-cost and accessible method compared to traditional approaches for the assessment of coarse sediment particle entrainment is developed, calibrated and tested. The instrumented particle presented here is fitted with inertial microelectromechanical sensors (MEMSs), such as a triaxial accelerometer, a magnetometer and angular displacement sensors, which enable the recording of the particle’s three-dimensional displacement. The sensor logs nine-axis data at a configurable rate of 200–1000 Hz and has a standard mode of deployment time of at least one hour. The data can be obtained and safely stored in an internal memory unit and are downloadable to a PC in an accessible manner and in a usable human-readable state. A plethora of improved design specifications have been implemented herein, including increased frequency, range and resolution of acceleration and gyroscopic sensing. Improvements in terms of power consumption, in comparison to previous designs, ensure longer periods of data logging. The embedded sensors are calibrated using simple physical motions to validate their operation. The uncertainties in the experiments and the sensors’ readings are quantified and an appropriate filter is used for inertial sensor fusion and noise reduction. The instrumented particle is tested under well-controlled lab conditions, where the beginning of the destabilisation of a bed surface in an open channel flow, is showcased. This is demonstrative of the potential that specifically designed and appropriately calibrated instrumented particles have in assessing the initiation and occurrence of water infrastructure hazards.

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