| Issue |
E3S Web Conf.
Volume 532, 2024
Second International Conference of Applied Industrial Engineering: Intelligent Production Automation and its Sustainable Development (CIIA 2024)
|
|
|---|---|---|
| Article Number | 02006 | |
| Number of page(s) | 11 | |
| Section | Applied Technological Innovations for Sustainable Industrial Environments | |
| DOI | https://doi.org/10.1051/e3sconf/202453202006 | |
| Published online | 06 June 2024 | |
IIoT trends in Occupational Safety and Health: A perspective from text-mining data analysis
1 Facultad de Ingeniería Industrial, Universidad de Guayaquil. Guayaquil, Ecuador
2 Universidad de Jaén, Jaén, Spain
* Corresponding author: yomar.gonzalezc@ug.edu.ec
Limited research explores the specific challenges and opportunities of IIoT-based safety technologies in developing countries like Ecuador. This study addresses this gap by analysing IIoT trends in Occupational Safety and Health (OSH) from a local context perspective. The analysis of the workers’ attitude toward use of technologies in large companies in Ecuador using a non-probabilistic sample, revealed a predominant focus on Supervisory Control and Data Acquisition (SCADA) systems applications. This analysis led the query for a systematic review using text-mining data analysis of open-source publications from Scopus, WoS, and Scielo to determine potential gaps between existing local practices and the full potential of Industry 4.0 (I4.0) technologies enhancing worker safety on a global scale. This research proposes two priority pathways for future research: wearable technology for smart health monitoring and advanced safety monitoring for industrial workers. These findings can guide the development and adoption of IIoT solutions tailored to address the specific needs and challenges of local companies, ultimately improving worker safety and well-being in the I4.0 era.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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