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Open source framework for a Broadly Expandable and Reconfigurable data acquisition and automation device (BREAD).

Shane Oberloier1, Nicholas G Whisman1, Finn Hafting2

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Summary

A new open-source framework, the Broadly Reconfigurable and Expandable Automation Device (BREAD), offers a modular and cost-effective solution for scientific data acquisition systems, reducing costs by up to 93%. This framework enhances accessibility to high-quality electronics for researchers globally.

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Area of Science:

  • Electronics Engineering
  • Scientific Instrumentation
  • Open Source Hardware

Background:

  • Proprietary data acquisition (DAQ) systems are standard but prohibitively expensive, limiting access in low-resource settings.
  • Existing open-source electronic designs often lack scalability and easy integration, hindering widespread adoption for complex scientific needs.
  • A unified framework for open-source electronics is needed to promote interoperation and accessibility.

Purpose of the Study:

  • To introduce and validate a new framework, the Broadly Reconfigurable and Expandable Automation Device (BREAD), for developing plug-and-play open-source electronics.
  • To demonstrate the modularity and cost-effectiveness of the BREAD framework for scientific data acquisition.
  • To provide a set of guidelines and requirements for contributing to an expanding library of open-source electronic modules.

Main Methods:

  • Development of the BREAD framework with a core set of guidelines and requirements for modularity.
  • Design and validation of seven distinct electronic modules (slices) including sensor interfaces, controllers, and power management.
  • Testing of the BREAD system's plug-and-play functionality and interoperation capabilities.

Main Results:

  • Successful implementation and validation of seven diverse BREAD modules: Amplified Analog Input, Audio Analysis/Fourier Transform, Current Sensor, Relay Controller, Stepper Motor Controller, Thermocouple Reader, and USB Port.
  • Demonstrated significant cost savings, up to 93%, compared to traditional closed-source proprietary DAQ systems.
  • The BREAD framework enables the development and integration of new open-source electronic systems with plug-and-play functionality.

Conclusions:

  • The BREAD framework provides a scalable, interoperable, and cost-effective solution for scientific data acquisition.
  • This open-source approach significantly lowers the barrier to entry for high-quality sensing and DAQ systems, particularly in resource-limited environments.
  • BREAD fosters a collaborative ecosystem for the advancement of open-source scientific hardware.