RASPBERRY PI-BASED SENSOR NETWORK FOR MULTI-PURPOSE NONLINEAR MOTION DETECTION IN LABORATORIES USING MEMS

Published

2022-07-05

RASPBERRY PI-BASED SENSOR NETWORK FOR MULTI-PURPOSE NONLINEAR MOTION DETECTION IN LABORATORIES USING MEMS

RED DE SENSORES MULTIFUNCIONAL BASADA EN RASPBERRY PI PARA LA DETECCIÓN DE MOVIMIENTO NO LINEAL EN LABORATORIOS USANDO MEMS

Keywords:

motion sensors, Lagrangean solution, Raspberry Pi, nonlinear measurement system, MEMS (en)
sensores de movimiento, solución Lagrangiana, Raspberry Pi, sistema de medición no lineal, MEMS (es)

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Authors

Natarajan Shriethar Department of Energy Science, Alagappa University, Karaikudi.
Narmadha Chandramohan Vigil Health Solutions. https://orcid.org/0000-0002-6975-7648
Chandramohan Rathinam Vidyaagiri Coleege of Arts and Science, Puduvayal. https://orcid.org/0000-0002-5845-0966

Abstract (en)
Abstract (es)

Detecting and measuring the nonlinear evolution of a classical system is a complex process. In this work, the nonlinear evolution of a lab-level system is measured using the Raspberry Pi-based MEMS sensor network system. The evolution and various results of nonlinear systems were compared theoretical and experimentally.

Detectar y medir la evolución no lineal de un sistema clásico es un proceso complejo. En este trabajo, se mide la evolución no lineal de un sistema a nivel de laboratorio utilizando el sistema de red de sensores MEMS basado en Raspberry Pi. La evolución y varios resultados de sistemas no lineales fueron comparados teórica y experimentalmente.

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