Navigating the sea of data : a comprehensive review on data analysis in maritime IoT applications

CC BY Logo DOI

The Internet of Things (IoT) is significantly transforming the maritime industry, enabling the generation of vast amounts of data that can drive operational efficiency, safety, and sustainability. This review explores the role and potential of data analysis in maritime IoT applications. Through a series of case studies, it demonstrates the real-world impact of data analysis, from predictive maintenance to efficient port operations, improved navigation safety, and environmental compliance. The review also discusses the benefits and limitations of data analysis and highlights emerging trends and future directions in the field, including the growing application of AI and Machine Learning techniques. Despite the promising opportunities, several challenges, including data quality, complexity, security, cost, and interoperability, need to be addressed to fully harness the potential of data analysis in maritime IoT. As the industry continues to embrace IoT and data analysis, it becomes critical to focus on overcoming these challenges and capitalizing on the opportunities to improve maritime operations.

Tytuł
Navigating the sea of data : a comprehensive review on data analysis in maritime IoT applications
Twórca
Durlik Irmina
Słowa kluczowe
maritime industry; Internet of Things (IoT); data analysis; machine learning; predictive maintenance
Słowa kluczowe
przemysł morski; Internet rzeczy (IoT); analiza danych; uczenie maszynowe; konserwacja predykcyjna
Współtwórca
Miller Tymoteusz ORCID 0000-0002-5962-5334
Cembrowska-Lech Danuta ORCID 0000-0002-1503-0064
Krzemińska Adrianna
Złoczowska Ewelina
Nowak Aleksander
Data
2023
Typ zasobu
artykuł
Identyfikator zasobu
DOI 10.3390/app13179742
Źródło
Applied Sciences, 2023, vol. 13 iss.17, [br.s.], 9742
Język
angielski
Prawa autorskie
CC BY CC BY
Dyscyplina naukowa
Nauki o Ziemi i środowisku; Dziedzina nauk ścisłych i przyrodniczych; Nauki biologiczne; Dziedzina nauk ścisłych i przyrodniczych
Kategorie
Publikacje pracowników US
Data udostępnienia17 lis 2023, 12:18:20
Data mod.17 lis 2023, 12:18:20
DostępPubliczny
Aktywnych wyświetleń0