Key Technology Trends Transforming Shipping

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Global maritime trade is being transformed by digitalisation, artificial intelligence and expanding connectivity, enabling cargo and ships to be remotely monitored in real time. Maritime industries have recovered from the global Corona Virus Pandemic with requirements for remote operations and rising demand for better crew welfare services.

In 2023, shipowners will need digitalisation and voyage optimisation to comply with IMO’s carbon intensity index (CII) and will use new types of communications to provide greater connectivity to seafarers, charterers and regulators.

There will be pressure to develop sustainable solutions for decarbonisation and to reduce operating expenditure using internet of things (IoT) and applications enabled by artificial intelligence (AI) and machine learning, driven through faster communications at sea and better connectivity for vessels.

But concern is growing over the distraction of navigation officers using mobile phones on ship bridges after evidence from ship accident reports indicates vessels are grounding because crew and marine pilots are using mobile devices for personal communications when they should be concentrating on safe navigation.

Here are the trends in maritime communications and vessel optimisation to prepare for in 2023.

Shipping companies and engine manufacturers are increasingly using AI and machine learning for predictive maintenance on critical equipment on vessels. Engineers can use machine learning and adaptive algorithms to gain advanced insight into performance, condition and outcomes of ship machinery, systems and whole vessels. These are evolving technologies, with hardware and software elements learning how to mimic human capacity for observing, monitoring, understanding and decision-making.

By combining AI with human expertise, shipowners can identify any operational issues, predict when maintenance is required to prevent breakdowns and provide chief engineers and captains with advice on improving machinery performance. Owners can reduce operating costs using predictive diagnostics and IoT-based smart maintenance to enable in-time parts availability for optimal maintenance and to facilitate more in-water overhauls to reduce drydocking expenditure. They can also use real-time data and advanced 3D computer models of ships for digital twins of actual vessels to monitor, diagnose and predict when maintenance is required.

AI and machine learning can also be used to determine how to tackle hull and propulsion fouling. These technologies can be combined with virtual and augmented reality in eyewear, so onshore engineers can provide real-time information and advice to those maintaining and overhauling machinery on ships.

Source: Riviera – News Content Hub – Key technology trends transforming shipping in 2023 (rivieramm.com)

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