Design of a remote assistance model for truck maintenance in the mining industry
Rodolfo Canelón,
Christian Carrasco,
Felipe Rivera
Abstract:PurposeIt is well known in the mining industry that the increase in failures and breakdowns is due mainly to a poor maintenance policy for the equipment, in addition to the difficult access that specialized personnel have to combat the breakdown, which translates into more machine downtime. For this reason, this study aims to propose a remote assistance model for diagnosing and repairing critical breakdowns in mining industry trucks using augmented reality techniques and data analytics with a quality approach … Show more
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