Abstract
Biohazards and noise risks in wastewater treatment plants are a real concern. These stations generate risks of gas inhalation due to contaminants carried by the wastewater and exposure to dangerous high noise generated by the work equipment. The stations are equipped with sensors that are capable of monitoring ambient gas levels and noise levels. This is not sufficient and geolocation of the operators is necessary. However, indoor geolocation is still a problem due to limited GPS accuracy. There are alternatives such as Bluetooth, which allow more accurate geolocation to be obtained. In this work, we present a IoT system that allows to geolocate the operators indoor through Bluetooth beacons and cross-reference it with the information from gas and noise sensors to prevent occupational risks.
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Acknowledgements
This work has been partially funded by grant DIN2020-011586, funded by MCIN/AEI/10.13039/501100011033 and by the European Union “Next GenerationEU/PRTR”, by the Ministry of Science, Innovation and Universities (project RTI20 18-094591-B-I00 and by grant FPU17/02251), by the 4IE+ project (0499-4IE-PLUS-4-E) funded by the Interreg V-A Spain-Portugal (POCTEP) 2014–2020 programme, by the Regional Ministry of Economy, Science and Digital Agenda of the Government of Extremadura (GR21183, GR21133, IB18030) and the European Regional Development Fund (ERDF).
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Laso, S. et al. (2023). IoT System for Occupational Risks Prevention at a WWTP. In: Troya, J., et al. Service-Oriented Computing – ICSOC 2022 Workshops. ICSOC 2022. Lecture Notes in Computer Science, vol 13821. Springer, Cham. https://doi.org/10.1007/978-3-031-26507-5_39
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DOI: https://doi.org/10.1007/978-3-031-26507-5_39
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