Novel Real-Time Data Acquisition System Of Hydrodynamic Signals Obtained In Laboratory

Authors

  • M. CORRALES-GONZALEZ Department of Civil, Chemical and Environmental Engineering, University of Genoa, Italy
  • D. GROSSO Department of Physics, University of Genoa, Italy
  • G. BESIO Department of Civil, Chemical and Environmental Engineering, University of Genoa, Italy

DOI:

https://doi.org/10.59490/coastlab.2024.678

Keywords:

Wave data acquisition, sensor array, telemetry, environmental data sampling

Abstract

Understanding marine dynamics, particularly in coastal areas with high wave activity, cannot be achieved without physical modeling. However, when it comes to downscaled physical wave modeling, accurately recording wave data becomes a challenge, especially near coastlines where disturbances are common. Traditional water surface measurement tools, such as invasive wave probes, have proven to be both inaccurate and impractical. To overcome these limitations, this study presents a new data acquisition system (DAQ) utilizing resistive sensors and wireless transmission protocols to enhance the accuracy of wave measurements in laboratory-scale experiments.

The data acquisition technology effectively measures water surface electric potential by utilizing specialized resistive probes. Additionally, the DAQ is equipped with an automatic calibration system using a vertical potentiometer, providing a cutting-edge solution to calibrate the invasive wave probes usually employed in several types of hydraulic physical modeling. The recorded data is efficiently handled by Arduino® board controllers, allowing for convenient wireless transmission for laboratory usage. This exceptional system surpasses traditional methods, offering a combination of versatility, cost-efficiency, and enhanced accuracy in capturing wave characteristics. In addition to describing the development of controllers and data processing algorithms, this study highlights their seamless integration into a unified solution for superior wave data collection.

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Published

2024-04-23

Conference Proceedings Volume

Section

Conference papers

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