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LoRaWAN BASED INDUSTRIAL EMISSION MONITORING WITH SELF-FLYINGDRONE

SIMO, A.; BARBULESCU, C.; SALINSCHI, M.
Abstract:
This work offers a practicalmodelof anautomated environment parameters monitoring system; a multifunctional soft-hardware complex of technical solutions for collecting, transmitting, processing and analyzingdata.The proposed system can embed different type of sensorsfor chemical emissions monitoring in industrial plants.The whole systemis based on the LoRaWAN communication protocol and a self-flying drone system. The experiments showed that our system is trustworthy; the values collected can be used as reliable evidence of presence ofpollution.
SGEM Research areas:
Year:
2018
Type of Publication:
In Proceedings
Keywords:
LoRaWAN; Emission Monitoring; Internet of Things
Volume:
18
SGEM Book title:
18th International Multidisciplinary Scientific GeoConference SGEM2018
Book number:
4.3
SGEM Series:
International Multidisciplinary Scientific GeoConference-SGEM
Pages:
503-510
Publisher address:
51 Alexander Malinov blvd, Sofia, 1712, Bulgaria
SGEM supporters:
Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
Period:
3 – 6 December, 2018
ISBN:
978-619-7408-70-6
ISSN:
1314-2704
Conference:
18th International Multidisciplinary Scientific GeoConference SGEM2018, 3 – 6 December, 2018
DOI:
10.5593/sgem2018V/4.3/S11.060
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