Veliki skupovi podataka u pomorskoj industriji

Abstract

SummaryMaritime industry is a complex system that requires a quick adaptation to changing conditions and in which decision-making needs to take into account a large number of parameters. As navigation systems become more advanced, there is a significant amount of ship performance and navigation data generated. Big Data analytics tools make it possible to analyze these large quantities of data in order to gain the insight that supports decision-making. This paper gives an overview of the applications of Big Data in maritime industry, specifically in logistics optimization, safety and energy efficiency improvement, as well as the challenges that systems involving Big Data face. SažetakPomorska industrija je složeni sustav koji zahtijeva brzu prilagodbu u promjenjivim uvjetima u kojima je potrebno uzeti u obzir velik broj parametara prilikom donošenja odluka. Napretkom navigacijskih sustava, generira se znatna količina podataka o performansama broda i navigaciji. Analitički alati za velike skupove podataka omogućuju analizu tih podataka kako bi se dobilo razumijevanje potrebno za podršku donošenju odlukâ. Ovaj članak daje pregled primjene velikih skupova podataka u pomorstvu, posebno u optimizaciji logistike, sigurnosti i poboljšanju energetske učinkovitosti, kao i izazove s kojima se suočavaju sustavi koji koriste velike skupove podataka. KEY

Big data and artificial intelligence in the maritime industry: a bibliometric review and future research directions

“…To the best of our knowledge, in the maritime context there have been two review studies on big data (Yang et al 2019;Mirović, Miličević, and Ines 2018) and two on digitalisation (Sanchez-Gonzalez et al 2019;Fruth and Teuteberg 2017). The present study is more comprehensive than previous studies in terms of quality and spread of included studies that use big data and AI in the maritime context.…”

“…Big data and AI offer viable solutions to some of these challenges. For example, data about ship performance and navigation systems can help shipping firms monitor vessels' performance and take necessary steps to improve the operational efficiency of the vessels (Mirović, Miličević, and Ines 2018). The industry generates large amounts of data that, if appropriately utilised in decision-making, can improve maritime safety, reduce environmental impacts and minimise cost.…”

Machine Learning Methods in Monitoring Operating Behaviour of Marine Two-Stroke Diesel Engine

“…In order to minimize errors, eliminate noise, faulty or non-existing signals, the data set has to be filtered before further analysing (Rødseth et al 2016;Mirović et al 2018). However, employment of various solutions may also cause loss of valuable information (Vlahogianni 2015).…”

Economic aspects of automation innovations in electronic transportation management systems

“…On short voyages, the data may also be deleted after the voyage or during the upcoming voyage, thus becoming inaccessible for a long term analysis (Koga, 2015). Furthermore, the traditional toolsets are no longer sufficient, as well as the offered bandwidth for the high seas communication (Mirović, Miličević, & Obradović, 2018). Besides, unauthorized individuals can willfully insert, delete or update information in order to reach economic advantages or to disguise illegal activities (Windward, 2014).…”