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Bridge Predictive Maintenance Monitoring Solutions Graphics

NSSLGlobal unveils predictive bridge monitoring system

Increasingly advanced software platforms are combining digital information from a vessel’s own systems with external data sources, providing insights that improve the speed and accuracy of decision-making onboard and ashore. According to NSSLGlobal, today’s digitalisation decisions will influence operational resilience, regulatory compliance and competitiveness over the coming decade.

At SMM 2026, the company will launch its next-generation monitoring solution for bridge systems. The system is designed to reduce downtime and operating costs by introducing predictive maintenance and early fault detection to bridge equipment, which has traditionally not been monitored remotely.

Machine learning algorithms identify the root causes of faults before transmitting data via LEO satellite connections to NSSLGlobal for further analysis and early intervention. According to the company, this helps prevent failures from spreading across interconnected bridge systems. A malfunctioning gyrocompass, for example, can affect the performance of ECDIS, TVRO, VSAT and other key systems.

During SMM, NSSLGlobal will hold daily presentations and demonstrations of the new solution. Visitors will also be able to discuss installation, retrofit and maintenance of navigation and communications equipment, together with the associated software and hardware.

According to NSSLGlobal, operators increasingly require solutions that balance technological developments with operational considerations such as cost, staffing and regulatory requirements. The company has been providing satellite communications and IT service management solutions to the maritime sector for almost 60 years.

Hall B6, Booth 520

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