Artificial Intelligence to Monitor Fleet Performance.

Insights into ship’s operational data, augmented by Artificial Intelligence (AI) can help save up to 10 percent fuel and cut costs. Unlocking the value of advanced analytics can increase vessel uptime and reduce essential service visits by up to 30 percent.

Digital technologies, including AI, data combination and analytics solutions and are predictable to transform international shipping in the coming decades as ship owners are looking for answers that would allow them to increase operational efficiency and sustainability and help to meet the terms with environmental regulations. Challenge has been the there to gather and process data on a system-by-system basis, rather than analyzing interdependent operations. independent datasets into disconnected algorithms limits meaningful analytics capability, underlying potential efficiency gains in an ocean of data.

Smart Ship© Hub Remote Monitoring, Analytics and AI suite, for ship owners, operators , across all type of vessels operating in world oceans, allows the power of advanced analytics and artificial intelligence to drive better decisions making. SSH visions that deeper insights into a vessel’s operational data, amplified by AI and analytics enabled by SSH Remote.

AI can assist owners and operators to manage fleet and increase efficiency in following areas.

Engine and machinery performance:

Collecting performance data from machines like main engine aux engine, DG sets etc, collectively using iot devices like sensors, multiplexers, frequency converters. The collected data with historical data can help operators and owners to set standard operation KPI’s and create an operation model to increase efficiencies and reduce down time.

 Machinery performance:

The Performance Monitoring System is computerized and needs little attention after set up. The operator dashboard showing the collected data can be then processed through algorithms and create a model of ship performance using collective data from the main engine, aux engine, DG, and other machinery. 

Shipowners can set KPI as required and can create and visualize the performance spending less time in collecting operating equipment data and collating, as the system would do it directly on behalf, which means the operators and the managers have more time for improving the current operational status of the vessel.

Predictive diagnostics: Live data from ME, AE, DG, Boliers with historical data such as noon reports and sea trial brings in live condition on machines running on the vessels.

These data sets are continuously monitored to get the optimum results using machine learning and algorithms models. This brings in actionable intelligence about the condition of machinery and spares related to it which is further supported by an advisory modeling system. Owners and operators can take decisions supported by the system. 

Routing and Navigation:

With live data being continuously monitored from sailing vessels the fleet manager can be always at support from shore to the crew sailing by providing the routing option based on the weather conditions on the voyage. Weather conditions on the route are monitored and optimized by the computerized model and predicting the route course and giving the optimum sailing option to save fuel consumption and making the sailing smooth and operational efficient

GHG monitoring:

Artificial intelligence backed with situational awareness by exhaust gas emission can be tracked for measurement of various gases emitted gases in the exhaust caused by incorrect combustion. Camera sensors (UHF) can furthermore track time-stamped images of exhaust gas: Color, thickness, texture while tracking exact machinery parameters through the day and through the voyage. Using machine learning model and algorithms and these can be mapped against live ME performance and diagnostics are plotted for accurate assessment of machinery health & its impact on the exhaust.

Smart Ship© Hub offering the marine industry a scalable platform that is flexible enough to meet today’s needs cost-effectively, and robust enough to support tomorrow’s ambitions, up-time or to improve a company’s financial performance, all digitalization projects benefit from the most extensive monitoring and measurement. Exploiting digital analytics to its full potential relies on comprehensive data.