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<\/a>Vessel fault prediction<\/p><\/div>\n
Along these lines, in order to minimise such phenomena, contemporary ships and vessels in general, are equipped with a plethora of sensors and monitoring utilities, constantly collecting operational and performance data on every critical aspect of the ship\u2019s operation (e.g. engines\u2019 strain, emissions, fuel consumption, load), regardless of the nature of the ship (e.g. cargo ships, transport ships). However, although sensors are present, their full potential is not frequently exploited. Not all incoming data is stored, mainly due to space (memory) shortage, and maybe most importantly, the sensors\u2019 data is not integrated or correlated with historical or external data streams.<\/p>\n
Challenges:<\/strong> The previously described process has undeniably benefited the timely identification and prediction of upcoming damages or mechanical failures, as well as the establishment of a fuel consumption strategy. However, one core aspect remains unsolved: processes and systems like the previously described, are vessel-centric. All models, calculations and estimations are based solely on data coming from the vessel itself. Even if the utilized systems support real-time data collection, the process needs to take into account past events and entries from external sources in order to provide an early warning or verdict. Expected Benefits:<\/strong> Data from every available sensor will be collected and formulate a knowledge base that each owner and\/or operator will exploit towards the effort of being proactive rather than reactive and operationally efficient. These data, after being cleaned and integrated, will feed a complex prediction model for fault\/damage\/failure prediction and a decision support tool for fuel consumption. The companies envision minimizing repairs and maintenance, as well as minimizing loss of earnings due to the vessels\u2019 inability to operate and a more efficient fuel consumption strategy.. In addition, environmental impact is also envisioned to be reduced, since lower fuel consumption leads to greenhouse gas emissions reduction, fewer damages or mechanical failures during operation will result in practically eradicating the occurrence of unpredicted spills, emissions etc. Moreover, indirect benefits could include building a reputation around reliability and innovation.<\/p>\n
\nThe question that remains unanswered is whether there is a way to embed additional relevant parameters into the process, for the investigation of the impact of the environmental conditions and the operational decisions taken on the vessel\u2019s fuel consumption, also making proactive confrontation of damages or mechanical failures more effective and accurate; and thus providing important financial and environmental benefits.<\/p>\n
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