The team at Columbia’s Performance Optimisation Control Room (POCR), headed up by Captain Pankaj Sharma, has developed a totally SMART and fully digitised jack-up barge under its management as part of a digital twinning process designed to massively optimise vessel performance.
Using non-invasive next generation Internet of Things technology through a wireless eco-system packed with full machine learning capability, the connected vessel benefited from machinery health monitoring as well as enhanced engine diagnostics.
Capt Sharma explains that a SMART vessel maximises IoT technology and minimises human input as well as it focuses on Artificial intelligence for predictive applications.
The vessel is fully digitised and digitalised in a totally cyber secure environment. SMART cameras onboard the ship take analogue images of the systems which are then digitised.
“By combining and analysing data from the sensors, the crew and the onshore technical department have direct access to all information about the health of specific items of equipment. The smart vessel solution capitalises on the machine learning, self-correcting and early warning systems for asset preservation and the solutions are scalable, modular and OEM agnostic,” he said.
With sensor technology and data processing, the vessel uses advanced analytic techniques to identify data trends and anomalies, providing early indicators to avoid potential failures or downtime and help with decision making for crew and shoreside personnel. By using non-invasive sensors, the smart system on the vessel looks for any anomalies while monitoring the vessel’s diagnostics and predictive warning systems.
The mix of technologies onboard the vessel has a proven track record in the aviation, wind energy and marine industries.
