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KG Steel automatically controls ‘process temperature’ using artificial intelligence
Date 2022.11.28.View 1,118

Developed 'AI control technology' in collaboration with INEEJI Co., Ltd. and KG ICT Co., Ltd.
Plans to apply it in the first half of the year after completing verification by February next year
Improved production quality and reduced costs worth K


HMI screen of ‘Artificial intelligence optimal control technology for continuous hot dip galvanizing process heating furnace’ jointly developed by KG Steel with INEEJI Co., Ltd. and KG ICT Co., Ltd. (Photo = KG Steel)


KG Steel automatically controls the temperature of the continuous hot dip galvanizing (CGL) process using an artificial intelligence (AI) system.

KG Steel (016380) announced on the 28th that it had developed 'optimal control technology for artificial intelligence heating for continuous hot dip galvanizing process' in collaboration with INEEJI Co., Ltd. and KG ICT Co., Ltd. and began pilot operation on the 23rd.

KG Steel plans to apply a full AI control system in the first half of next year after completing pilot operations and upgrading and verifying AI performance by February next year.

AI learns worker behavior according to jointly developed technology to predict and control the optimal temperature of all eight sections of KG Steel's continuous hot dip galvanizing process heating. Through this, production quality is improved and liquefied natural gas (LNG) usage is reduced, and KG Steel is expected to achieve cost savings equivalent to 450 million won per year.

A KG Steel official said, “Yield declines and excessive energy use have occasionally occurred due to temperature changes. By introducing AI technology, we will improve production quality and reduce costs by eliminating inefficiencies.”

In addition, KG Steel uses AI technology to build a safe working environment and promotes digital transformation (DT) manpower training. KG Steel explains that it will reduce worker fatigue through process variable control operation while continuously securing human resources to build a smart factory.