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Title: Digital training and advanced learning in occupational safety and health based on modern and affordable technologies
Authors: Vukicevic, Arso
Macuzic, Ivan
Djapan, Marko
Milicevic, Vladimir
Shamina L.
Issue Date: 2021
Abstract: Occupational safety and health (OSH) is a very important issue for both practical purposes in industry and business due to numerous reasons, so a number of software, educational and industrial solutions are available. In this paper, the cloud-based mobile application for digital training and advanced learning in the field of occupational safety was presented. The proposed framework architecture was based on a novel approach: Node.JS for the server backend and the React Native for the front-end development; while MongoDB was used for implementing the cloud data storage using sensors that are all available on the Android platform. In the development of this application, a number of options were developed (using open-source software) such as the reading of a QR code, usage of built-in sensors within android platforms, reporting, and voice messages. The developed SafeST solution is presented through a real industry example. It emphasizes two main possibilities of the solution, improving OHS reporting and significant empowerment of the students in the OHS field based on the learning-by-doing approach. In this way, the additional engagement (identification, recording and reporting of UA/UC) of OSH managers has been reduced to a minimum, taking into account requested reports from management and authorities, and the continual training of the employees and preparation of the students for future working activities. The system was tested for educational purposes with the initial idea to develop an application for smartphones which could be useful and well adopted among engineering students in the OSH field.
Type: article
DOI: 10.3390/su132413641
SCOPUS: 2-s2.0-85120982331
Appears in Collections:Faculty of Engineering, Kragujevac
Faculty of Mechanical and Civil Engineering, Kraljevo

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