EN
A ship’s security can no longer be fully guaranteed by manual checks of the log sheet. Paperwork can interfere with a crew’s attention and may cause them to overlook anything irregular and having different styles of reports can overlook key information about the equipment. At Sealong Marine, using AI in log sheet analysis means turning ICCP and MGPS data into useful information for active fleet management.
Potential Hazards of Undertaking Manual Log Reports
While humans are used for inspections, there is still a chance for problems or deliberate data covering up. Until a failure happens, it is usually difficult to notice rectifier drift, uneven MGPS chlorine release or strays currents. Reactive maintenance often causes machines to stop working, machines rust earlier and requires expensive repairs that can add up to more than $120,000 per event.
AI That Sees What Humans Miss
Our AI platform reviews years of historical and live ICCP/MGPS information to locate specificities that a person may not see. This enables the system to find any critical issues related to rectifiers, problems in the dosing of MGPS and errors in the reported data. By using various fault detection options, it explores and pinpoints what is wrong, achieving this process with 92% reliability for all affected systems.
From Alerts to Actionable Maintenance
With AI, Sealong Marine can agree on necessary repairs such as resetting the ICCP and ensures the first sign of wear to a MGPS part triggers prompt replacement to avoid further problems. The system also identifies recurring data discrepancies, enabling tailored crew training to improve reporting accuracy. This predictive approach reduces unplanned downtime by up to 65% and extends equipment lifespan by 3-5 years, shifting maintenance from costly emergency repairs to strategic, scheduled interventions.
Every undocumented anomaly is a risk multiplier. Sealong Marine’s AI analysis transforms scattered data into a strategic asset, protecting your vessels and bottom line. Contact us today to implement AI-driven logsheet analysis-and finally stay ahead of ICCP and MGPS failures.