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Green Ports Toolkit
Global · Case study

Port of Felixstowe (Hutchison Ports), 5G and AI Predictive Maintenance Trial for Cranes

Felixstowe, United Kingdom2021 to 2022 (trial announced January 2021; due to complete September 2022)

The Port of Felixstowe, the United Kingdom's largest container port, operated by Hutchison Ports, led a government co-funded 5G trial designed to test internet of things sensors and artificial intelligence to optimize the predictive maintenance cycle of its 31 quay-side and 82 yard cranes (DCMS, 2021; UK Government, n.d.).

By March 2022, six quay cranes were being fitted with sensors (Three UK, 2022). Partners were Three UK, Cambridge University and Blue Mesh Solutions, with Ericsson and Siemens as subcontractors. Government funding was £1,634,590 of a total project value of £3,405,776 (DCMS, 2021).

Sensors on the cranes were to monitor factors such as temperature changes, vibrations and noise, with the data fed into an AI engine to develop a predictive maintenance algorithm that would optimize when cranes are taken out of service. The work focused on the quay crane spreader, which had been identified as prone to failure (UK5G, 2021).

The trial aimed to show productivity and efficiency gains while reducing unplanned outage (DCMS, 2021). At launch, Hutchison Ports UK estimated multi-million pound savings from improved availability and better scheduling of planned maintenance (UK5G, 2021). This was a forecast, not a measured result, and no published trial results were found.

Transferability

For DMC ports, the Felixstowe trial shows how a port can pilot sensor based predictive maintenance on a failure prone crane component with research and technology partners.

Transferable elements include condition monitoring sensors on critical components, an analytics capability that turns sensor data into maintenance schedules, and partnerships that share the cost and risk of a pilot.

Because no results were published, ports should set baseline measures for availability and maintenance cost before a pilot so that benefits can be verified.

Sources

All information used for this case study was based on publicly available resources.