Real‐time vibration monitoring and analysis of agricultural tractor drivers using an IoT‐based system

نویسندگان

چکیده

Agricultural tractor drivers experience a high amplitude of vibration, especially during soil tillage operations. In the past, most research studied vibration exposure with more focus on vertical (z) axis than fore-and-aft (x) and lateral (y) axes. This study examines how rotary affects acceleration frequency, power spectral densities (PSDs) at seat pan head along three translational axes in real-field multiaxis context. Moreover, this aimed to identify characteristics seat-to-head transmissibility (STHT) response identifying salient resonant frequencies x-, y-, z-axes. Nine (9) male operated mounted tiller throughout process. event COVID-19 pandemic, respect social distancing, developed an Internet Things (IoT) module potential integrate existing data loggers for online transmission make experimentation process effective by removing sources experimenter errors. The raw retrieved were utilized obtain daily (A(8)), PSDs, STHT energy was found be dominant z-axis x- y-axes. A(8) among exceeds action value explicitly stated Directive 2002/44/EU. PSDs z-axes depicted low-frequency induced operation. exhibited higher degree y- when compared that x-axis. frequency range 4–7 Hz may plausibly associated cognitive impairment tillage.

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ژورنال

عنوان ژورنال: Journal of Field Robotics

سال: 2023

ISSN: ['1556-4967', '1556-4959']

DOI: https://doi.org/10.1002/rob.22206