Literature DB >> 27441587

Towards a conceptual framework of OSH risk management in smart working environments based on smart PPE, ambient intelligence and the Internet of Things technologies.

Daniel Podgórski1, Katarzyna Majchrzycka1, Anna Dąbrowska1, Grzegorz Gralewicz1, Małgorzata Okrasa1.   

Abstract

Recent developments in domains of ambient intelligence (AmI), Internet of Things, cyber-physical systems (CPS), ubiquitous/pervasive computing, etc., have led to numerous attempts to apply ICT solutions in the occupational safety and health (OSH) area. A literature review reveals a wide range of examples of smart materials, smart personal protective equipment and other AmI applications that have been developed to improve workers' safety and health. Because the use of these solutions modifies work methods, increases complexity of production processes and introduces high dynamism into thus created smart working environments (SWE), a new conceptual framework for dynamic OSH management in SWE is called for. A proposed framework is based on a new paradigm of OSH risk management consisting of real-time risk assessment and the capacity to monitor the risk level of each worker individually. A rationale for context-based reasoning in SWE and a respective model of the SWE-dedicated CPS are also proposed.

Entities:  

Keywords:  Internet of Things; ambient intelligence; cyber-physical systems; occupational safety and health management; real-time risk assessment; smart personal protective equipment; smart working environment; ubiquitous safety

Mesh:

Year:  2016        PMID: 27441587     DOI: 10.1080/10803548.2016.1214431

Source DB:  PubMed          Journal:  Int J Occup Saf Ergon        ISSN: 1080-3548


  8 in total

1.  Occupational Risk Prevention through Smartwatches: Precision and Uncertainty Effects of the Built-In Accelerometer.

Authors:  Luis Sigcha; Ignacio Pavón; Pedro Arezes; Nélson Costa; Guillermo De Arcas; Juan Manuel López
Journal:  Sensors (Basel)       Date:  2018-11-06       Impact factor: 3.576

2.  Smart Helmet 5.0 for Industrial Internet of Things Using Artificial Intelligence.

Authors:  Israel Campero-Jurado; Sergio Márquez-Sánchez; Juan Quintanar-Gómez; Sara Rodríguez; Juan M Corchado
Journal:  Sensors (Basel)       Date:  2020-11-01       Impact factor: 3.576

3.  Design of a Smart Safety Vest Incorporated With Metal Detector Kits for Enhanced Personal Protection.

Authors:  Salini D Rajendran; Siti N Wahab; Swee P Yeap
Journal:  Saf Health Work       Date:  2020-07-03

4.  Occupational Safety and Health Staging Framework for Decent Work.

Authors:  Paul A Schulte; Ivo Iavicoli; Luca Fontana; Stavroula Leka; Maureen F Dollard; Acran Salmen-Navarro; Fernanda J Salles; Kelly P K Olympio; Roberto Lucchini; Marilyn Fingerhut; Francesco S Violante; Mahinda Seneviratne; Jodi Oakman; Olivier Lo; Camila H Alfredo; Marcia Bandini; João S Silva-Junior; Maria C Martinez; Teresa Cotrim; Folashade Omokhodion; Frida M Fischer
Journal:  Int J Environ Res Public Health       Date:  2022-08-31       Impact factor: 4.614

5.  The compliance of head-mounted industrial PPE by using deep learning object detectors.

Authors:  Velibor Isailovic; Aleksandar Peulic; Marko Djapan; Marija Savkovic; Arso M Vukicevic
Journal:  Sci Rep       Date:  2022-09-29       Impact factor: 4.996

6.  BeSafe B2.0 Smart Multisensory Platform for Safety in Workplaces.

Authors:  Sergio Márquez-Sánchez; Israel Campero-Jurado; Daniel Robles-Camarillo; Sara Rodríguez; Juan M Corchado-Rodríguez
Journal:  Sensors (Basel)       Date:  2021-05-12       Impact factor: 3.576

7.  Human Factor Considerations in Using Personal Protective Equipment in the COVID-19 Pandemic Context: Binational Survey Study.

Authors:  Avi Parush; Oren Wacht; Ricardo Gomes; Amit Frenkel
Journal:  J Med Internet Res       Date:  2020-06-17       Impact factor: 5.428

8.  Healthy Operator 4.0: A Human Cyber-Physical System Architecture for Smart Workplaces.

Authors:  Shengjing Sun; Xiaochen Zheng; Bing Gong; Jorge García Paredes; Joaquín Ordieres-Meré
Journal:  Sensors (Basel)       Date:  2020-04-03       Impact factor: 3.576

  8 in total

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