Abstract
The global greenhouse gas emitted from shipping activities is one of the factors contributing to global warming; thus, there is an urgent need to mitigate the adverse effect of climate change. One of the key strategies is to build a vibrant maritime industry with the use of innovation and digital technologies as well as intelligent systems. The digitization of the shipping industry not only provides a competitive edge to the shipping business model but also enhances ship operational and energy efficiency. This review paper focuses on the big data analytics and machine learning applied to harbour craft vessels with the aim to achieve fuel efficiency. The paper reviews the telemetry system requires for the digitalization of harbour craft vessels, its challenges in installation, the vessel monitoring and data transmission system. The commonly used methods for data cleaning are also presented. Last but not least, the paper considers two types of the machine learning systems, i.e., supervised and unsupervised machine learning systems. The multi-linear regression and hidden Markov model for supervised machine learning system and the artificial neural network, grey box model and long short-term memory model for unsupervised machine learning are discussed, and their pros and cons are presented.
Highlights
The shipping industry has experienced a digital transformation in the Third Industrial Revolution, and is entering the dawning of the Fourth Industrial Revolution that focuses on smart shipping based upon the integration of the internet of things (IoT), intelligent systems and innovative solutions
One of the digitalization technologies is the use of big data analytics (BDA) and machine learning (ML) to achieve fuel efficiency
Revolutions brought to the shipping industry, the Fourth Industrial Revolution that focuses on harnessing the infoCOMM technologies, networks and big data to create tech-enabled solutions has encouraged shipping companies to embrace innovative digital solutions
Summary
The shipping industry has undergone a transformation from the use of steam engines in the First Industrial Revolution, followed by the widespread use of electrical and combustion engine-powered vessels in the Second Industrial Revolution. The shipping industry has experienced a digital transformation in the Third Industrial Revolution, and is entering the dawning of the Fourth Industrial Revolution that focuses on smart shipping based upon the integration of the internet of things (IoT), intelligent systems and innovative solutions. One of the digitalization technologies is the use of big data analytics (BDA) and machine learning (ML) to achieve fuel efficiency. Revolutions brought to the shipping industry, the Fourth Industrial Revolution that focuses on harnessing the infoCOMM technologies, networks and big data to create tech-enabled solutions has encouraged shipping companies to embrace innovative digital solutions
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