Design and Analysis of a Wearable Arduino IOT Health Monitoring Device for Mining Workers

Naumann, Joshua (2023) Design and Analysis of a Wearable Arduino IOT Health Monitoring Device for Mining Workers. [USQ Project]

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Abstract

Mining workers experience harsh environmental conditions during their working shifts which impacts the health and safety of the workforce. Due to the high risks involved coupled with poor safety measure execution, many existing and future employees are opting out of this line of work creating an inaccessibility issue for employers (Porselvi et al., 2021). Traditional health monitoring methods have been proven to be difficult to install and challenging to power due to the dynamic changing environment and busy operations (Rudrawar et al., 2022).

A review of the current literature was performed to find the current development surrounding health monitoring systems in the mining space. From the review, it was found that health
monitoring systems have been designed in the past, however, minimal experimentation has been conducted to determine the effects of harsh environmental conditions on the system and
systems that are wearable are marginal.

Potential options for the sensor selection and battery setup were explored and then analysed to turn the concept design into a prototype. The methodology consisted of conducting several experiments on the prototyped design to determine the effects of high temperature, high humidity, and varying dust concentrations on the sensor readings. The sensor readings were also compared to commercial-grade sensor readings to determine the accuracy of the prototype system.

The project found that the prototype performs well under high temperature and high humidity conditions, however, is affected by high concentrations of dust. The developed health monitoring device has potential as an early warning detection system. However, if a high precision of accuracy is required, the system would provide inadequate output for such a purpose.


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Item Type: USQ Project
Item Status: Live Archive
Faculty/School / Institute/Centre: Current – Faculty of Health, Engineering and Sciences - School of Engineering (1 Jan 2022 -)
Supervisors: Low, Tobias
Qualification: Bachelor of Engineering (Honours) (Mechatronics)
Date Deposited: 30 Sep 2025 04:44
Last Modified: 30 Sep 2025 04:44
Uncontrolled Keywords: mining; health monitoring systems
URI: https://sear.unisq.edu.au/id/eprint/52980

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