Events10th International Electronic Conference on Sensors and Applications
Published
This submission belongs to the session C. Sensor Networks, IoT and Structural Health Monitoring of the event 10th International Electronic Conference on Sensors and Applications
Published date
15 Nov, 2023
Academic Editor
author-avatarStefano Mariani
Citation
Ioannis Christakis, Vassilios Athanassios Orfanos, Pavlos Chalkiadakis, Dimitrios Rimpas, Low-cost environmental monitoring station to acquire health quality factors, in Proceedings of 10th International Electronic Conference on Sensors and Applications, 15 November–30 November 2023, MDPI: Basel, Switzerland, doi: 10.3390/ecsa-10-16096
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Low-cost environmental monitoring station to acquire health quality factors

1. Department of Electrical and Electronic Engineering, University of West Attica, P. Ralli & Thivon 250, 12244 Egaleo, Greece, Greece
Abstract

In recent years, with the development of the IoT, emphasis has been placed on the construction of IoT devices in conjunction with an appropriate information system for informing citizens in various fields (transportation, trade, etc.). Focusing it on health, there are specific IoT devices for monitoring a patient's health, alternatively IoT devices can be used for public monitoring of an area's environmental data which affect the health quality. In densely populated areas and especially in large cities, environmental pollution, apart from air pollution, is the exposure of citizens to solar radiation (ultraviolet UVA UVB radiation), as well as to noise pollution in an area where people live and work. As it is known, ultraviolet radiation, especially during the summer months, can cause the beginning of skin cancer and various eye diseases, while noise pollution can create mental disorders in humans, especially in young people. At this work a low cost solar radiation and noise pollution monitoring station is presented. The parts that make up the station are a microcontroller (TTGO-OLED32) with an integrated LoRa device and the ultraviolet radiation sensor and sound sensors. In addition, a mini ups device has been installed in case of power failure and a GPS device is utilized for the location point. The measurements are obtained from the sensors every ten minutes and are transmitted via the LoRa network to an application server in which the user has direct access to the environmental data of an area. In conclusion, the data obtained from such IoT devices help in the study of cities to optimize factors in people's lives.

Keywords
IoT health system
Ultraviolet radiation
Noise pollution
Sensors
Manuscript
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