Thursday, July 25, 2024


Optimizing Machinery Performance, Energy Efficiency, Vessel Performance
with Integrated Digital Platform and High Frequency Data

Seamless Remote Monitoring


Being able to navigate on going maritime ecosystem
inefficiencies and challenges is no longer sufficient. It is time to scale the
digital transformation (DX) muscles and strategically optimize your vessel
operations. What new technologies can you embrace to strengthen your supply chain, operate vessels more efficiently,
reliably, and lessen the carbon footprint impact

Smart Ship© Hub Remote Overview


Smart Ship© Hub Remote, the digital platform offers real-time condition monitoring and analysis
of machinery, vessel performance
while enabling predictive diagnostics and maintenance.

Aside from capturing high-frequency data, we leverage legacy machine
data, noon reports, maker manuals, and information collected from ship trials
for integrated analytics. Our proprietary machine learning algorithms are
trained to gain insight and provide business intelligence on vessel
performance, fuel consumption, main engine health, and the overall condition of
the vessel. 

Smart Ship© Hub Remote leverages the power of Industrial IOT for to
help ship owners,  operators, charterers
detect potential issues before it arises, empowering them to make data-driven intelligent
decisions and proactive adjustments. That positively impacts business KPIs,
reducing unplanned vessel downtime, increasing operational efficiency, and
propelling the ship towards global sustainability goals.

Remote monitoring to protect
you from existing risks

Advanced analytics for freedom
from future risks

Maritime trade is a high-stakes business
where shipowners, operators, charterers
shoulder crucial responsibilities. Smart Ship© Hub (SSH) understands the
complexities of the marine environment and the variety of problems they have to
deal with. On board equipment and machinery are more prone to breakdowns,
malfunctions, and unexpected repairs. Vessels are under constant motion
rendering its equipment to have continuous wear and tear. A break down ( or in
other words Downtime) takes top dollar to ensure the vessel is once again seaworthy
. Time elapsed between the downtime and it being back in operational condition
is directly related to premium paid for maintenance .

Mechanical or structural flaws can cause
serious mishaps and have often resulted in casualties during routine ship
operations. Machinery failure
accounted for one in three reported shipping casualties or incidents globally,
as per the Allianz Safety and Shipping Review 2022. Statistics do not lie!

Marine power systems failure or vessel
engine damage can not only put all assets, cargo, the crew on board the vessel in danger but also poses a threat to
marine ecology. And if the vessel is a chemical tanker , crude oil carrier or
dry bulk that is combustible: the risks and accountabilities are significant. Vessel
damage or vessel downtime translates to significant
financial losses
in business. There’s constant pressure to prevent incidents at sea and reduce vessel
along with the challenge of seeing maintenance costs remain in

Smart Ship ©Hub (SSH) endeavors to help
alleviate the problems and manage the risks that maritime trade ship owners and
operators face. With our digital platform in play, vessels are highly reliable
and the reliability ranges between 20% to 33% , one in three downtime scenarios
have are being constantly successfully predicted and averted.

Planned maintenance is essential for
reducing the frequency of equipment or machinery failures and avoiding
breakdowns that may lead to disruptions in vessel operations. However,
continuing to sail within the comfort zone—relying solely on traditional ship
maintenance methods—will leave ship owners and operators vulnerable to
unexpected breakdowns and costly downtime.

It thus becomes
“mission-critical” to get Smart and explore a newer, more economical, and effective maintenance approach.

Embrace Digital Innovation

Increase Fleet Uptime

and cost-effective technologies with multilevel impact—even from REMOTE
locations in real-time.

Smart Ship Hub’s “ All in One”


Vessel Condition monitoring is the process
of continuously observing a set of voyage metrics and/or shipping process
variables that indicate the state of the vessel being monitored. Smart Ship© Hub
Remote IOT Services facilitates this even from the farthest offshore location.
Remote vessel condition monitoring is critical to sustainable shipping
operations and machine health maintenance and management.

Smart Ship© Hub Remote’s digital services
present a real-time monitoring data-driven predictive maintenance solution for
the shipping industry, powered by dynamic machine learning (ML) algorithms and
artificial intelligence (AI).

Smart Ship© Hub (SSH) digital platform
uses high-frequency data and proprietary algorithms to create a Vessel Health
Index, providing real-time insights into machinery health and equipment
condition. A very unique offering where the vessel’s health is quantified in
terms of its machinery fitness and vessel’s over all sea worthiness. Augmenting
your planned maintenance systems with Smart Ship© Hub Remote will support you
in proactively addressing potential issues and avoiding costly downtime. Remote
monitoring and Live communication of vessel and machine health data enable
predictive maintenance and effective management of shipping operations.

Maritime digitalization technologies are
now a prerequisite, a cost-competitive investment that will serve you well in
the long term.

“An organization with a ‘safety
culture’ is one that gives appropriate priority
to safety and realizes that safety has to be managed like other areas of the

– International Maritime Organisation

It is crucial to conduct timely maintenance activities for the vessel’s
structural integrity and stability to remain in compliance with safety
standards  and environmental

Remote management of Vessels through collection of fleet-wide data across vessels coming from the
engine and onboard equipment, end-to-end analytics, and reporting have a
combined positive impact, redefining the Vessel
Health & Condition Monitoring



Smart Ship© Hub
Remote’s  SMART ALERT for various failure
modes provides advance warning on possible downtime. The ALERT engine is configured
to generate alarms when actual and potential errors or failure is detected. The
other purpose of the alarm is to prioritize the failures based on how serious
the consequences could be and how frequently they occur. It also generated
Failure Mode Effect Analysis along with in-depth knowledge on risks of failures
that could inform timely actions and support continuous improvement.

Relevant drawings,
videos, images of equipment, safety procedures, inspections, and work orders
are linked to these alarms. The generated alarms and notifications can be made
available on devices like iPads aside from Desktops. The SMART ALERT tool is
most useful for planning optimal downtime schedules in advance, well before the
failure occurs.

Predictive Analytics

Analytics enables maritime trade shipowners and operators to avoid costly
unplanned downtime and increase asset reliability from a remote environment.
Graphical chart-based and tabular insights based on historical as well as Live
shipping data are available as a customized service to accurately measure
critical vessel parameters.

Our validated and
globally trusted ML-based advanced integrated analytics detect and deliver
early warnings on vessel condition, engine health, and other asset
anomalies—sometimes weeks or months before the failure occurs. The predictive
algorithms can forecast the exact time of failure, allowing maintenance
priorities to be specified.

Analytics provides the necessary information to trigger Alerts and assists
engineers in determining the next maintenance cycle for machinery or equipment
in service to prevent unanticipated problems during the voyage and wastage of

With substantial
cost savings as one of the key outcomes, maritime trade organizations are
deploying Smart Ship© Hub Remote for Predictive Maintenance that ensures lower
vessel downtime.

Diagnostics Algorithms

triggers our proprietary machine learning (ML) algorithms that gets trained to
deliver vessel health diagnostics by utilizing live data generated together
with historical data, past FMEA’s, Legacy onboard data and other pertinent process
data captured through our Data Quality Management (DQM) feature. The
data-driven machine learning-based wear fault diagnostic model is built to
support engineers in determining the cause of fault modes correctly.

The diagnostics
algorithms identify the root cause and provide clear actionable insights and
recommendations for making informed decisions. The ML algorithms thus help
avoid failures, especially those earmarked as a high priority by the automated
Technical Advisory Reports for crew and shore staff.

Smart Ship© Hub
Remote IOT Services can be relied upon for data-backed guidance on corrective
measures, leading to substantial savings in spares, maintenance costs, labor,
and lost business opportunities.

Smart Ship© Hub Remote Features


●     Continuous Tracking &
Situational Awareness

Smart Ship© Hub
Remote is a 24/7 AI/ML-powered intelligent system that facilitates remote
tracking of ships during voyages to and from the port.. The entire fleet of
ships may also be continuously monitored from an onshore remote center and
controlled by an automatic system. Smart Ship© Hub Remote IOT Services
facilitate the seamless communication of real-time voyage data informed by
onboard sensors enabling the ship operators to acquire adequate situational

●     Integrated Onboard and Shore

fleet stays continuously connected with the ship owner’s onshore vessel
operations management team. With full access to the onboard engine and assets
operations information through the remote monitoring systems, the operators get
superior visibility for maintenance planning and optimal vessel operations

●     Single Source of Truth Across
the Fleet

Smart Ship© Hub (SSH) maritime digitization platform catalyzes the collection
of raw shipping data from Vessel Machinery, IoT sensors, and multiplexers,
harmonizes it, and delivers it to the shore team in the form of customized
Dashboards, Analytics, Alarms, Alerts, and Advisory. Leveraging data with the
help of AI/ML-powered integrated analytics creates immense value as it reduces
human effort in gaining business insights for the organization, ship owners,
and operators.

it was essential to contact a third party or consult various sources of
information separately to check the ship’s statistics, which took a long time.
SSH platform is the “go-to” unified and single source of truth for shipowners,
superintendents, and managers that simplifies dealing with problems that may
arise while sailing.

Predictive Diagnostics

Diagnostics is a proactive approach for solving unplanned downtime of vessels
due to equipment failure that helps create substantial cost savings for Ship
Managers and Operators.

Live data from Main
Engine, Auxillaries, Diesel Generators, Boilers, Scrubbers, Cranes, Flow
Meters, Pumps etc. with historical data coming from noon reports and sea trials
gives a peek at live conditions on machines running on the vessels. These data
sets are continuously monitored and machine learning and algorithms models
bring in actionable intelligence about the condition of machinery and spares
further supported by an advisory modeling system. Owners and operators can take
decisions supported by the system to make the sailing smooth and operationally

Predictive Maintenance of Machinery

is a proactive approach in which early study of the machinery while it is still
operating normally exposes the shipboard equipment or the machinery’s
condition, thereby forewarning of the impending degradation or the onset of
defects in the machinery.

full awareness of the equipment’s current and future capabilities, maintenance
activities can be undertaken in advance in a planned manner, supporting optimal
utilization of resources.  Predictive
maintenance aims to solve problems and any maintenance challenges ahead of
time. It is also by far the most cost-effective as compared to traditional
maintenance approaches. Using Smart Ship Hub platform, Vessel Owners &
Operators are saving upto 11% in their maintenance budget with our Tech
Advisory on vessel operations.

Vessel Health Index VHI

Smart Ship© Hub
Remote generate the most empirical and accurate Vessel Health Index (VHI) to
aid vessel condition monitoring, ensuring the safety and security of the
vessel. Get an account of reliability-centered maintenance identified for
different parts of the ship. Powered by AI/ML, the VHI provides estimates the “Remaining
useful life” of specific equipment and enabling a quantified measure of Vessel health

Individual Vessel Performance Management with Select Smart Sensors and
Gateway Technologies

Ship© Hub Remote uses smart sensor technologies, connectors, and proprietary
gateway devices, which enable efficient shipping data capturing and
communication with reliable safety and security.

Cloud-based Services

SSH is an
end-to-end Cloud agnostic digital platform. Available on any 3rd
party cloud services, that suits the customer, the digital platform can be
seamlessly accessed from mobile, tabs or desktops remotely . Cloud solution brings
real-time benefits and drives productivity, efficiency by providing live and
holistic data on complete vessel and voyage performance while bringing down
on-prem infrastructure cost by upto 40% in few cases.

Smart Ship© Hub Remote Benefits


●     Reduced Downtime of your fleet

●     Improved Reliability of Assets across

●     Increased efficiency across machinery and
decision making processes

Maximized Reliability
and voyage safety

from the above primary benefits, there are a host of secondary benefits:

●     Reduced overheads

●     Increased energy savings 

●     Overall operational efficiency

●     Reduced maintenance and repair

●     Minimized component failures

●     Forecast of inventory preventing
unnecessary hoarding of parts and wastage of resources 

●     Optimal utilization of man-hours

This press release has also been published on VRITIMES

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