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José Luis Blanco-Claraco1, Javier López-Martínez2, José Luis Torres-Moreno3

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This study introduces a novel modular data acquisition system (DAQ) architecture to synchronize heterogeneous hardware, achieving sub-microsecond synchronization for precise experimental measurements.

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Area of Science:

  • Engineering
  • Computer Science
  • Signal Processing

Background:

  • Experimental science and engineering rely on data acquisition systems (DAQ) for signal sampling and conversion.
  • Commercial DAQ systems often lack compatibility, forcing the use of heterogeneous hardware.
  • Synchronization issues between different DAQ devices hinder accurate data collection.

Purpose of the Study:

  • To develop a low-cost, modular DAQ architecture for synchronizing heterogeneous inputs and outputs.
  • To achieve predictable, fixed sampling frequencies with minimal synchronization mismatch (<1 µs).
  • To enable accurate data acquisition in complex experimental setups.

Main Methods:

  • Designed a modular DAQ architecture with a base board and interchangeable modules.
  • Implemented a system for synchronized sampling of diverse signal sources.
  • Conducted experiments in mechanical engineering, including vibration analysis and quadrature encoder signal spectrum analysis.

Main Results:

  • Achieved a synchronization mismatch below 1 µs between heterogeneous signal sources.
  • Successfully demonstrated vibration spectrum analysis using piezoelectric accelerometers.
  • Presented novel quadrature encoder signal spectrum analysis within the same experimental framework.

Conclusions:

  • The proposed modular DAQ architecture effectively addresses synchronization challenges in heterogeneous systems.
  • The system offers a low-cost solution for precise data acquisition in diverse scientific and engineering applications.
  • The design and software will be publicly released to benefit the research community.