Ioannis Filippopoulos, T. Panagiotakopoulos, Charalampos Skiadas, Sofia-Michaela Triantafyllou, A. Violaris, Y. Kiouvrekis
{"title":"Live Vessels’ Monitoring using Geographic Information and Internet of Things","authors":"Ioannis Filippopoulos, T. Panagiotakopoulos, Charalampos Skiadas, Sofia-Michaela Triantafyllou, A. Violaris, Y. Kiouvrekis","doi":"10.1109/IISA56318.2022.9904408","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IISA56318.2022.9904408","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
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.