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Home > Industry

Predicting equipment failure by analyzing current patterns… Expected to increase lifespan and save energy

Desk / Updated : 2024-10-31 20:22:03
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424 patent applications and registrations at home and abroad, ‘the most in the world’ in the field of predictive maintenance

 

As the complexity of industrial sites increases, damage from facility failures is increasing. What is emerging as a solution to this problem is an AI-based current predictive maintenance solution. IT Space, headquartered in Ulsan, is leading this field and is proving its global competitiveness by holding 424 patents and entering 8 countries.

IT Space's solution analyzes current data to evaluate facility conditions and predict failures in advance to prevent accidents. It also analyzes energy consumption patterns to increase energy savings and contribute to reducing carbon emissions. This solution is provided on a cloud basis to enhance the safety of field workers and help implement smart factories.

IT Space's solutions are used in various industrial fields such as automobile factories, wind power generation, and traditional markets. In particular, Hyundai and Kia Motors have improved productivity by introducing this solution, and are maximizing power generation efficiency in the wind power generation field.

IT Space is accelerating the development of next-generation technologies such as on-device AI and digital twin technology. In addition, 10 billion won was invested in Ulsan to build an IDT center, laying the foundation for entering the global market. Last September, the company signed a contract worth $6 million at IFA 2024 in Germany, accelerating its efforts to target the global market.

IT Space is improving the safety and productivity of industrial sites and contributing to energy savings and carbon neutrality through AI-based current predictive maintenance solutions. It is expected that IT Space will continue to lead the smart factory era through continuous technological development and entry into the global market.

 

[Copyright (c) Global Economic Times. All Rights Reserved.]

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