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Remote management of Vessels through direct vessel data coming from vessel equipment is redefining the Vessel Health & Condition Monitoring process. With substantial cost savings as one of the key outcome, organizations are deploying Smart Ship Remote for Predictive Maintenance and lower vessel downtime.
Smart Ship brings in Guidance and corrective actions, configured in the ALERT tool for every alarm that is generated. Relevant drawings, videos, images of equipment, safety procedures, inspections and work orders are linked to these alarms. Alerts generated through Predictive Analytics could be made available on iPods, Desktops. Smart Alerts and Notifications help in planning Scheduled downtime even before the failure occurs. Smart Ship also brings in Corrective measures leading to substantial savings in Spares, Maintenance, Labor & lost opportunities.
Smart Ship, with the help of Diagnostics algorithms, integrates ALERT application which monitors the equipment condition and notify an alarm condition in advance. Smart Ship uses Failure Mode Effect Analysis (FMEA) methodology will to identify the failure modes in each of the systems. These failure modes are used to develop the diagnostics algorithms.
Smart Ship Predictive Maintenance technology offers a simple way to shrink machine downtime by using one or more sensors and computerized maintenance management system (CMMS). Smart Ship ALERT application helps in monitoring equipment condition in real time and to generate specific diagnostics alarms whenever an abnormal condition is generated in the equipment and thus reduce vessel downtime.
By proactively identifying potential issues, Smart Ship deploys Predictive Diagnostics through algorithms which help in improve Productivity of the vessels. Data fetched from various vessel equipment like Main Engine, Aux Engine, Boiler, Incinerator, Bridge Equipment, Lube etc. are continuously monitored, analyzed w.r.t weather, wind, waves, route, slip and trends are customized for necessary business intelligence.
Condition based Diagnostics or Predictive Diagnostics is a proactive approach that Smart Ships uses extensively to solve unplanned downtime of vessels due to equipment failure that eventually result substantial cost savings for Ship Managers and Operators. Data gathered from Noon Report And/ Or Live vessel data forms the base for Predictive analytics. Customized Predictive Algorithms are written for the voyage & vessel performance in dynamic weather conditions.
Based on the data captured from the vessel Smart Ships bring in Condition Monitoring through advanced algorithms for relevant diagnostics, downtime analysis, failure mode and predictive maintenance.
Custom reports of onboard machinery systems including overall operational efficiency, consumption pattern, throughput etc.
The service provides the most empirical and accurate vessel health index aid to safety and security of vessel.
Graphical chart based and tabular insights based on historical as well as live data available as customized service to accurately measure critical vessel parameters
Cloud based platform combines powerful equipment monitoring, visualization and notification functions with advanced cloud-based data storage and analytics.