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Low-Cost Efficient Wireless Intelligent Sensor (LEWIS) for Research and Education.
Sanei, Mahsa; Atcitty, Solomon; Moreu, Fernando.
Afiliação
  • Sanei M; Department of Civil, Construction and Environmental Engineering, University of New Mexico, Albuquerque, NM 87131, USA.
  • Atcitty S; Department of Mechanical Engineering, University of New Mexico, Albuquerque, NM 87131, USA.
  • Moreu F; Department of Civil, Construction and Environmental Engineering, University of New Mexico, Albuquerque, NM 87131, USA.
Sensors (Basel) ; 24(16)2024 Aug 16.
Article em En | MEDLINE | ID: mdl-39205002
ABSTRACT
Sensors have recently become valuable tools in engineering, providing real-time data for monitoring structures and the environment. They are also emerging as new tools in education and training, offering learners real-time information to reinforce their understanding of engineering concepts. However, sensing technology's complexity, costs, fabrication and implementation challenges often hinder engineers' exploration. Simplifying these aspects could make sensors more accessible to engineering students. In this study, the researcher developed, fabricated, and tested an efficient low-cost wireless intelligent sensor aimed at education and research, named LEWIS1. This paper describes the hardware and software architecture of the first prototype and their use, as well as the proposed new versions, LEWIS1-ß and LEWIS1-γ, which simplify both hardware and software. The capabilities of the proposed sensor are compared with those of an accurate commercial PCB sensor. This paper also demonstrates examples of outreach efforts and suggests the adoption of the newer versions of LEWIS1 as tools for education and research. The authors also investigated the number of activities and sensor-building workshops that have been conducted since 2015 using the LEWIS sensor, showing an increasing trend in the excitement of people from various professions to participate and learn sensor fabrication.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2024 Tipo de documento: Article