Page 26 - 2024 - Q2 - Minerva in Focus

MINERVA IN FOCUS Digital innovation in shipping

Data and Analytics in Maritime Operations
Data is a treasure trove for modern businesses, and when coupled
with analytics, it becomes fundamental in optimising maritime
operations. The vast amounts of data generated from ship move-
ments, weather patterns, fuel consumption, and cargo handling
can be used to derive actionable insights, which aid in predictive
maintenance, reducing the risk of equipment failure and un-
planned downtime. By analysing this data, it is possible to predict
which parts are likely to fail, allowing for timely maintenance. This
not only enhances the reliability of vessels but also optimises
maintenance schedules, thus reducing operational costs.
Advanced analytics enables the optimisation of shipping routes
by considering various parameters such as weather conditions,
ocean currents, and fuel consumption patterns. By selecting
the most efficient routes, shipping companies can significantly
reduce fuel consumption and travel time, leading to cost savings
and reduced carbon emissions. A key future goal is to apply

Digital Innovations machine learning algorithms to further improve these predictive
capabilities.
in the Maritime IoT and Enhanced Monitoring Systems
The Internet of Things (IoT) is pivotal in creating a connected
maritime ecosystem where ships and headquarters communicate
Industry: seamlessly. IoT devices (connected sensors) are deployed across
vessels and infrastructure to collect real-time data, enhancing
monitoring capabilities. These devices enable continuous mon-
Data, Analytics, itoring of various parameters such as engine performance, hull
integrity, and environmental conditions. Sensors on ships provide
real-time data, allowing for immediate responses to any anom-
and IoT alies. This real-time monitoring is crucial for maintaining vessel
safety and operational efficiency.
With the newest environmental regulations, IoT plays a crucial
role in monitoring and controlling emissions. Sensors can track
exhaust emissions, ballast water management, and fuel con-
An article by sumption, ensuring compliance with international standards.
Giorgos Panagiotopoulos, This data can also be used to optimise operations to minimise
Data Analytics Engineer, environmental impact.
Minerva Marine Inc.
Integrating Advanced Monitoring Systems
The main goal is to integrate data and IoT to achieve advanced
The maritime industry, monitoring systems. These systems rely on the continuous col-
lection and analysis of data from various sources, providing com-
traditionally conservative prehensive insights into vessel and fleet performance. Integrated
and slow to change, is platforms consolidate data from onboard sensors, satellite track-
experiencing a profound ing, and weather forecasting services, utilising analytics to offer a
holistic view of operations. This enables better decision-making
transformation driven by and proactive management. Advanced monitoring systems also
digital innovations. Among facilitate the remote monitoring and control of vessels. Operators
these innovations, data, can access real-time data from anywhere, making it easier to
analytics and the Internet manage fleet operations globally. By effectively coordinating with
onboard personnel, they can optimise overall fleet performance.
of Things (IoT) are key,
together enabling advanced In conclusion, the convergence of data, analytics, and IoT is
monitoring systems. transforming the maritime industry by enabling advanced mon-
itoring systems that enhance operational efficiency, safety, and
These technologies are environmental compliance. As these technologies continue to
revolutionising operational evolve, their integration will become even more critical in navi-
efficiencies, safety standards, gating the complexities of modern maritime operations, driving
and environmental compliance the industry toward a more sustainable and efficient future, so
that we may eventually start thinking about the development of
in the maritime sector. “autonomous vessels”.

24 ISSUE 28 / Q2 2024