Triple Pi Sensing to Limit Spread of Infectious Diseases at Workplace

12th International Conference on Sensor Networks (SENSORNETS 2023): Proceedings. Vol.1 2023
Jānis Grabis, Rūta Pirta-Dreimane, Brigita Dejus, Anatolijs Borodiņecs, Rolands Zaharovs

Interactions among employees at a workplace facilitate spread of infectious diseases. This paper proposes to integrate traditional IoT sensor data, wastewater analysis and data from organizational information systems for timely identification of threats and adjustment of work activities. The overall approach combining predictive, preventive and prescriptive capabilities is described as well as the overall technical solution is presented. The proposed approach allows tailoring of work activities depending on macro and micro monitoring results in a non-intrusive manner.

Keywords
Predictive Sensing, Workplace Safety, Infectious Diseases, Wastewater Analysis, Organizational Data Integration.
DOI
10.5220/0011747400003399
Hyperlink
https://www.scitepress.org/Link.aspx?doi=10.5220/0011747400003399

Grabis, J., Pirta-Dreimane, R., Dejus, S., Borodiņecs, A., Zaharovs, R. Triple Pi Sensing to Limit Spread of Infectious Diseases at Workplace. In: 12th International Conference on Sensor Networks (SENSORNETS 2023): Proceedings. Vol.1, Portugal, Lisbon, 23-24 February, 2023. [Setúbal]: SciTePress, 2023, pp.87-92. ISBN 978-989-758-635-4. ISSN 2184-4380. Available from: doi:10.5220/0011747400003399

Publication language
English (en)