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Electronic Distance Measuring Instruments01:30

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Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short distances...

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Updated: Jun 14, 2026

Construction of a Compact Low-Cost Radiation Shield for Air-Temperature Sensors in Ecological Field Studies
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Low-Cost Efficient Wireless Intelligent Sensor (LEWIS) for Research and Education.

Mahsa Sanei1, Solomon Atcitty2, Fernando Moreu1

  • 1Department of Civil, Construction and Environmental Engineering, University of New Mexico, Albuquerque, NM 87131, USA.

Sensors (Basel, Switzerland)
|August 29, 2024
PubMed
Summary
This summary is machine-generated.

Researchers developed LEWIS1, a low-cost wireless intelligent sensor for education and research. Newer versions simplify hardware and software, making sensor technology more accessible for learning and practical applications.

Keywords:
data collectioneducationlow-cost sensormeasurementreal-time monitoring

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Area of Science:

  • Engineering
  • Educational Technology

Background:

  • Sensors provide real-time data crucial for engineering monitoring and education.
  • Complexity, cost, and fabrication challenges limit sensor accessibility for students and researchers.
  • There is a need for simplified, low-cost sensing solutions for educational and research purposes.

Purpose of the Study:

  • To develop and fabricate an efficient, low-cost wireless intelligent sensor for education and research.
  • To describe the hardware and software architecture of the LEWIS1 sensor and its subsequent simplified versions (LEWIS1-β and LEWIS1-γ).
  • To compare the LEWIS1 sensor's capabilities with a commercial PCB sensor and demonstrate its educational outreach potential.

Main Methods:

  • Development and fabrication of the LEWIS1 sensor prototype.
  • Description of the hardware and software architecture for LEWIS1, LEWIS1-β, and LEWIS1-γ.
  • Comparative analysis of LEWIS1 sensor performance against a commercial PCB sensor.
  • Documentation of outreach activities and sensor-building workshops.

Main Results:

  • Successful development and testing of the LEWIS1 sensor, with simplified versions (LEWIS1-β, LEWIS1-γ) enhancing accessibility.
  • Demonstrated comparable capabilities to commercial sensors, validating its effectiveness for educational and research applications.
  • An increasing trend in participation in sensor-building workshops since 2015, indicating growing interest across professions.

Conclusions:

  • The LEWIS1 sensor and its simplified iterations offer an accessible and efficient tool for engineering education and research.
  • Adoption of LEWIS1 versions can enhance practical learning and foster broader engagement in sensor technology.
  • The study highlights the growing interest and participation in hands-on sensor fabrication activities.