Operating a ship is no easy business – not only do you have to manage your route, but you have to monitor and digest a huge amount of data. Traditionally, this data is crunched into charts and graphs; however, these representations are abstract and disconnected to the real time solution, and this complicates the decision-making process.
Enter ESRG, a company which produces sensors for US Naval boats that collect and process data providing a holistic prognosis of the entire boat system. It cleverly assesses the function of various parts of the system, considers how these parts interrelate, and even uses historical data to understand potential future scenarios. Essentially, the boat can tell you when it is working abnormally, enabling you to avoid safety mishaps, physical harm to the vessel and stress to the crew members.
Tests have been carried out by maritime company Caterpillar which have demonstrated that this technology works on old low-tech vessels as well as modern ships with newer engines. Impressed by the results of these tests and the gains of developing big data analysis into their operations, Caterpillar has combined their business with ESRG, and will soon be rebranded as Caterpillar Marine Asset Intelligence. Their business plans are to create tailored analytical systems for their customers, whether their concerns lie mostly in safety, productivity or sustainability.
ESRG’s general manager believes this Big Data Analytics market could double or triple in size by 2030. He notes that this could be easily facilitated through new build ships, which have prime automation, censoring, control and communication systems and make up about 30,000 of the 100,000 commercial vessels worldwide. If technology could be used on those 30,000 ships, it could save an estimated $20 billion in maintenance, fuel consumption and environmental fines expenditure.
Resource shared by Carolyne Okeijn