Hyosung Heavy Industries signed an industry-academic cooperation agreement with Pusan National University on the 21st to advance the project for power facility asset management and preventive diagnosis using big data analysis and AI algorithms. Kwon Ki-young, Executive Director of Hyosung Heavy Industries (left), and Kang Jung-eun, Director of Industry-Academic Cooperation at Pusan National University (right), are posing for a commemorative photo after the signing ceremony held in the main conference room of Pusan National University. Photo by Hyosung

Hyosung Heavy Industries signed an industry-academic cooperation agreement with Pusan National University on the 21st to advance the project for power facility asset management and preventive diagnosis using big data analysis and AI algorithms. Kwon Ki-young, Executive Director of Hyosung Heavy Industries (left), and Kang Jung-eun, Director of Industry-Academic Cooperation at Pusan National University (right), are posing for a commemorative photo after the signing ceremony held in the main conference room of Pusan National University. Photo by Hyosung

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Hyosung Heavy Industries is embarking on industry-academia collaboration to develop digital solutions for power facilities.


On the 22nd, Hyosung Heavy Industries announced that it signed an 'Industry-Academia Cooperation Agreement for the Advancement of Power Facility Asset Management and Preventive Diagnosis Business Using Big Data Analysis and AI Algorithms' with Pusan National University on the 21st.


The signing ceremony held at the Pusan National University headquarters was attended by Kwon Ki-young, Executive Director of Hyosung Heavy Industries, Kang Jeong-eun, Director of the Industry-Academia Cooperation Foundation at Pusan National University, and others.


Under this agreement, the advancement of the business will be promoted by combining Hyosung Heavy Industries' big data and AI technology in asset management and preventive diagnosis with Pusan National University's capabilities in data analysis and simulation technology.


This joint industry-academia research is expected to increase the reliability of digital diagnosis/analysis solutions for power facilities and enable a continuous cooperative system for core technologies. Additionally, it is anticipated to serve as an excellent example for revitalizing domestic and international preventive diagnosis and asset management solution businesses and nurturing outstanding talent.


On this day, Kwon Ki-young, Executive Director of Hyosung Heavy Industries, expressed his ambition, stating, "ARMOUR, Hyosung Heavy Industries' power facility diagnosis/analysis solution, which established the nation's first business model, will build an industry-academia collaboration ecosystem that can continuously expand into the DX field through the advancement of AI technology."



Meanwhile, Hyosung Heavy Industries, a leader in the domestic power industry, developed the nation's first 154kV-class asset management system algorithm in 2016 and has been continuously expanding its domestic and international business.


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

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