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New report explores automation risk in mining

A research report investigating the most effective means of identifying risks associated with human-system interactions in remote and autonomous mining operations is now available on the Regulator’s website.

The report, prepared by the University of Queensland, was required as an enforceable term of a WHS undertaking by Maules Creek Coal Pty Ltd relating to an incident in April 2018.

Four hazard identification methods were assessed across 3 case studies – human-autonomous surface haulage interactions, autonomous longwall mining and remote control of processing plants.

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