The picture show one Forward Industrial staff logging onto the control panel  with their fingerprint and receiving an item through the Agilon delivery hatch.
The picture show one Forward Industrial staff logging onto the control panel  with their fingerprint and receiving an item through the Agilon delivery hatch.
Article

A step forward in exploring automated intelligence

In March 2018, the third Container Terminal Automation Conference brought together thought leaders to examine the best ways to automate port and terminal processes. Konecranes took part in the two-day event, which had Automated Intelligence & AI as its theme.

According to Port Technology, the technology journal for port authorities and terminal operators, AI is a technological development that needs to be understood in order to unlock its potential and bring about greater efficiency.

Konecranes was an active participant in the conference hosted by Port Technology and held in London. Thomas Gylling, Director of Port Solutions Marketing, gave a presentation on future ports and AI, focusing on the importance of purpose-refined data. “We have the biggest data repository in the lifting industry. With our analytics capabilities, we can go over extended time horizons of data, combine and refine it to create insight,” he shared. “When it comes to AI, it obviously needs high quality data to be of any use – and plenty of it. We envision that AI will become beneficial in lifting port productivity to the next level due to its potential in learning from patterns and provide accurate predictions.”

We envision that AI will become beneficial in lifting port productivity to the next level due to its potential in learning from patterns and provide accurate predictions.

Dr. Hannu Oja, Director of Port Technology, talked about meeting the mega-vessel challenge at the quay side. “The STS (ship-to-shore) evolution is over. Mega-vessels require revolution, which provides challenges to terminal, crane and vessel concepts. COFASTRANS, a fast and eco-efficient transshipment system for ultra large container vessels, can support high volume production,” he said.

 

Text: Gino de la Paz
Photo: PTI

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