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.


Sergio Laso is currently working at Global Process and Product Improvement company doing an industrial PhD. His research interests are Mobile Computing, Pervasive Systems, Edge Computing and the Internet of Things.

Daniel Flores-Martin is a PhD. student at the University of Extremadura (Spain). His research interests are mobile computing, Context-Awareness, Crowd Sensing, and the Internet of Things.

Juan Pedro Cortés-Pérez is an associate professor at the University of Extremadura. Researcher in BIM technology in sustainability, health and safety and life cycle of infrastructures.

Javier Berrocal is an associate professor in the Department of Informatics and Telematics System Engineering at the University of Extremadura (Spain). His research interests include Distributed Systems, Mobile Computing, Pervasive Systems and the Internet of Things.

Juan M. Murillo is a full Professor at the University of Extremadura, Spain and CEO of the COMPUTAEX foundation. His research interests include Quantum Software Engineering, mobile computing, and cloud computing.


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