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Seminar on Big Data Cybernetics Nov. 27 2019 Scandic Nidelven
Industrial Use Case:
“BIG DATA in Maritime Industry”
Oddbjørn Malmo, Dr. Ing., Retired
Former position: Technology Manager, Kongsberg Maritime Trondheim
Oddbjørn Malmo: ”BIG Data” Maritime
What is ”Big Data”?
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Kongsberg Digital:
Big Data – more data than can be handled by a single PC
Oddbjørn Malmo: ”BIG Data” Maritime
An alternative definition
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Gartner – Hype cycle for emerging
Technologies (2015)
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Autonomous ships
Oddbjørn Malmo: ”BIG Data” Maritime
Are the data from a single ship really ”Big
Data”?
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Oddbjørn Malmo: ”BIG Data” Maritime
The 5V’s and data rates on-board a ship
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Oddbjørn Malmo: ”BIG Data” Maritime
The customer’s motivation for Big Data analysis
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Oddbjørn Malmo: ”BIG Data” Maritime
More specific
Oddbjørn Malmo: ”BIG Data” Maritime
What can all these data be used for?
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Oddbjørn Malmo: ”BIG Data” Maritime
Detect deviations from normal
”Digital Twin”
Planning under uncertainty
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Oddbjørn Malmo: ”BIG Data” Maritime
Vessel Performance
Shaft Power Consumption
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Status of Big Data in Maritime Industry
• Analysis methods and tools are available • Highly scalable clusters for storage and processing
• Analysis toolboxes from Google, Microsoft, Amazon etc
• Co-operation between the various parties is developing
• Challenges • Quality and availability of data
• Reluctance to sharing of data
• Efficient cleansing and structuring of data
• Efficient configuration of data and analysis tools
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The way forward
• From optimization of components on equipment scale • via vessel • fleet and • harbour logistics • to complete logistics of freight operations
• The ship-owners role is expected to be less important
• The logistics companies will grow in importance
• At present: Many “Big Data” players like Class societies, Ship owners, Equipment manufacturers, Logistics and shipping consultants with incompatible systems
• Future: Sharing of data, standardized exchange formats, more than 40 000 ships in a single cluster
