Early detection of mechanical issues is critical for maritime safety and efficiency. Digitalisation allows increased connectivity and access to real-time data from onboard systems like engines, enabling predictive maintenance through AI analysis. This supports the proactive scheduling of repairs and services to minimise downtime. Remote monitoring solutions facilitated by reliable maritime connectivity provide shore-based support and enable timely transmission of vessel data for analysis.
Early detection of issues within the ship’s mechanical systems and engine is critical for the safety of the vessel and crew and for monitoring efficiency, recognising abnormalities, and optimising performance. Digitalisation significantly enhances this crucial task, allowing for increased connectivity and access to reliable data. The engineering department, for instance, can now gather information and data from most onboard machinery, supporting smooth maintenance schedules and efficient handling of services and repairs.
Accurate fuel and lubricant consumption data and real-time and historical engine performance parameters like speed, temperature, pressure, fuel flow, and exhaust emissions are crucial for the engineering department. This data not only helps in controlling emissions and complying with MARPOL regulations but also supports increased accuracy in recording, monitoring, and reporting environmental parameters, aligning with our commitment to environmental protection.
An inventory of spare parts and supplies and details of procurement and storage are necessary for an efficient maintenance schedule that is key to ensuring the availability of resources and minimising downtime in repairs. By having easy access to important information and data, the engineering department can effectively manage the ship’s machinery and systems, guarantee the fulfilment of regulations, and address technical challenges that arise during the voyage. For example, if the engineering department encounters a technical issue with a propulsion system component during routine maintenance, they will request remote assistance from the equipment manufacturer, who provides guidance and troubleshooting support via a secure video conferencing platform. Without the necessary connectivity to facilitate this, the ship would either need more experts onboard, incurring additional costs, or there would be increased downtime while a solution was found.
Maritime vessels are deploying an increasing number of Internet of Things (IoT) devices and sensors to monitor vessel operations, including engine performance, fuel consumption, environmental conditions, and cargo status.
With an increasing amount of data being collected onboard a vessel, the need for autonomous data analysis and storage infrastructures and improved connectivity at sea to allow their efficient use is essential. In Condition Monitoring and Predictive Maintenance systems, AI algorithms analyse real-time sensor data from ship machinery to detect anomalies and predict potential failures before they occur. This helps to reduce downtime, and the cost of repairs, and engineering crews can respond proactively in scheduling maintenance.
Remote monitoring and diagnostics allow shore-based engineers to monitor performance and provide remote support to a ship’s crew, like ABB Ability Remote Insights. Connectivity is essential for real-time data transmission between ship and shore in remote diagnostics so that information reaches both sides quickly and accurately. The global remote monitoring market is projected to reach USD 15.9 billion by 202612, a growth that is driven by the increasing adoption of remote monitoring solutions to improve vessel maintenance and reduce downtime.
For a more detailed insight and understanding of the topics briefly discussed in this article, please refer to our thought leadership report commissioned in partnership with Inmarsat, The Digital Wave. To find out more, download your copy of the full report here.
