Gwangyang Steelworks Hosts Smart Predictive Maintenance Technology Competition

Accelerating 'Safe and Efficient Facility Management' through Technology Sharing

Rolling Equipment Division 2 Employee Jin Gyungi Awarded Top Prize

POSCO Gwangyang Steelworks (Head Lee Jin-su) announced on the 10th that it successfully concluded the Smart Predictive Maintenance Technology Competition held in the metaverse space.

The Smart Predictive Maintenance Technology Competition, participated by all employees in the equipment division of Gwangyang Steelworks, was held to share fault prediction technologies independently developed by employees based on PIMS* and to encourage outstanding employees.

Gwangyang Steelworks held a smart predictive maintenance technology competition in a metaverse space. The photo shows employee Jin Gyunki presenting after winning the grand prize.
［Image courtesy of Gwangyang Steelworks］

PIMS, POSCO's unique predictive maintenance system, serves as a communication medium between equipment and maintenance personnel, enabling simpler yet more accurate maintenance.

The entire maintenance department responsible for on-site equipment management participated in this competition, and five representative projects from each division were exhibited in the metaverse space. Additionally, presentation rooms were prepared for each project, allowing participants to communicate with presenters in real time and ask and answer questions.

The exhibited presentation materials were planned to be accessible online via links to all employees anytime and anywhere during the competition period. Notably, besides the presentation rooms, the metaverse space included a separate area to pass on know-how for developing smart predictive maintenance technologies and to share previously established best practices, creating a communication platform that delivered new insights and attracted more attention.

The judging panel included executives and all employees in the equipment division, and evaluations were conducted fairly based on the criteria of ▲maintenance task applicability ▲fault prediction technology level ▲possibility of diffusion and propagation to similar processes ▲presenter's presentation skills.

One grand prize and two excellence awards were selected. Jin Gyun-gi, an employee of Rolling Equipment Division 2 at Gwangyang Steelworks, who built the 'Integrated Real-time Diagnosis Solution for Cold Rolling Plant Motors' that allows equipment status to be checked on a single screen, won the grand prize.

The excellence awards went to Han Woo-jin, a section chief of Rolling Equipment Division 1, who developed the 'Abnormality Prediction System for Hot Rolled Coil-related Equipment,' and Kang Sung-chan, an employee of Rolling Equipment Division 2, who established the '4CGL Drive System Speed Measurement Device' enabling remote inspection.

Jin Gyun-gi, who won the grand prize from Rolling Equipment Division 2 at Gwangyang Steelworks, said, "I am proud that this Smart Predictive Maintenance Competition made equipment inspection simpler and more accurate," adding, "I will continue to realize safe and precise predictive maintenance based on PIMS."

Asia Economy Honam Reporting Headquarters Reporter Heo Seon-sik hss79@asiae.co.kr

This content was produced with the assistance of AI translation services.