TY - GEN
T1 - Live Vessels' Monitoring using Geographic Information and Internet of Things
AU - Filippopoulos, Ioannis
AU - Panagiotakopoulos, Theodor
AU - Skiadas, Charalampos
AU - Triantafyllou, Sofia Michaela
AU - Violaris, Antonis
AU - Kiouvrekis, Yiannis
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The purpose of this paper is to present the GIS Vessels Monitoring Platform, an integration platform, which collects information from various, heterogeneous internal and external sources and represents the collected information in a uniform way using a Geographical Information System. Furthermore, the collected information from Internet of Things (IoT) data sources for various critical parameters, such as the engine performance, gas emissions, navigation and vessel performance, is further used for analysis and as an input to both a decision support and an alerting system operated by the Maritime Company that monitors the vessels. More specifically, the paper discusses how the platform provides the management company and their departments with all the necessary information for monitoring a vessel in near real time.
AB - The purpose of this paper is to present the GIS Vessels Monitoring Platform, an integration platform, which collects information from various, heterogeneous internal and external sources and represents the collected information in a uniform way using a Geographical Information System. Furthermore, the collected information from Internet of Things (IoT) data sources for various critical parameters, such as the engine performance, gas emissions, navigation and vessel performance, is further used for analysis and as an input to both a decision support and an alerting system operated by the Maritime Company that monitors the vessels. More specifically, the paper discusses how the platform provides the management company and their departments with all the necessary information for monitoring a vessel in near real time.
KW - GIS monitoring
KW - Internet of Things (IoT)
KW - Live Data
KW - Maritime
KW - Shipping
KW - Vessel Map
UR - http://www.scopus.com/inward/record.url?scp=85141076878&partnerID=8YFLogxK
U2 - 10.1109/IISA56318.2022.9904408
DO - 10.1109/IISA56318.2022.9904408
M3 - Conference contribution
AN - SCOPUS:85141076878
T3 - 13th International Conference on Information, Intelligence, Systems and Applications, IISA 2022
BT - 13th International Conference on Information, Intelligence, Systems and Applications, IISA 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Information, Intelligence, Systems and Applications, IISA 2022
Y2 - 18 July 2022 through 20 July 2022
ER -