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Hyundai Rotem partners with NBP to develop big data-based 'railway vehicle condition-based maintenance system'
With condition-based maintenance technology, sensors, and IoT technology
Optimizing vehicle maintenance cycles through big data analysis
Global railway rolling stock maintenance market size, 72 trillion won
Hyundai Rotem is partnering with NBP to develop railway vehicle maintenance technology.

Hyundai Rotem announced on the 14th that it signed an MOU with Naver Business Platform (NBP) on the 13th to develop a big data analysis platform (SMART Train 4.0) necessary for building a Condition Based Maintenance (CBM) system for railway vehicles.
Condition-based maintenance technology is a maintenance technology that optimizes vehicle maintenance cycles by utilizing various sensors and IoT technologies to analyze big data, such as the status of key train components, operational information, and failure history, in real time.
Hyundai Rotem has been developing a condition-based maintenance system since January 2018 to build a modernized maintenance system and plans to complete the technology development within this year.
Through this agreement, Hyundai Rotem will develop a cloud-based big data analysis platform. NBP supports the stable and efficient operation of platforms developed by Hyundai Rotem on the Naver Cloud Platform.
Hyundai Rotem's big data analysis platform databases information on key train components and uses optimized fault prediction algorithms to provide users with comprehensive real-time vehicle status information, such as fault locations and parts replacement timing, thereby reducing maintenance costs and enhancing train availability and safety.
When condition-based maintenance technology is applied to high-speed rail vehicles through a big data analysis platform, maintenance costs are reduced by up to 30% compared to existing methods, spare parts inventory is reduced by 20–30%, and device lifespan is extended by 20–40%.
Hyundai Rotem plans to develop not only a big data analysis platform based on virtual cloud servers but also a platform based on physical servers on the ground, enabling users to utilize the platform in their preferred environment.
Hyundai Rotem plans to enhance its existing maintenance business and target the global market by establishing a condition-based maintenance system through the development of a big data platform. In addition, it will secure sales channels for its cloud-based big data analysis platform by utilizing the Marketplace, a dedicated sales channel for Naver Cloud Platform.
Meanwhile, the current global railway rolling stock maintenance market is worth approximately 72 trillion won, surpassing the new rolling stock order market (70 trillion won), and continuous growth is expected at an average annual growth rate of 3.2%.
Optimizing vehicle maintenance cycles through big data analysis
Global railway rolling stock maintenance market size, 72 trillion won
Hyundai Rotem is partnering with NBP to develop railway vehicle maintenance technology.
▲ (From left) Kim Jong-nyeon, Director of Hyundai Rotem’s Railway Technology Research Institute, and
NBP Business Division Head Kim Tae-chang (Photo: Hyundai Rotem)
NBP Business Division Head Kim Tae-chang (Photo: Hyundai Rotem)
Hyundai Rotem announced on the 14th that it signed an MOU with Naver Business Platform (NBP) on the 13th to develop a big data analysis platform (SMART Train 4.0) necessary for building a Condition Based Maintenance (CBM) system for railway vehicles.
Condition-based maintenance technology is a maintenance technology that optimizes vehicle maintenance cycles by utilizing various sensors and IoT technologies to analyze big data, such as the status of key train components, operational information, and failure history, in real time.
Hyundai Rotem has been developing a condition-based maintenance system since January 2018 to build a modernized maintenance system and plans to complete the technology development within this year.
Through this agreement, Hyundai Rotem will develop a cloud-based big data analysis platform. NBP supports the stable and efficient operation of platforms developed by Hyundai Rotem on the Naver Cloud Platform.
Hyundai Rotem's big data analysis platform databases information on key train components and uses optimized fault prediction algorithms to provide users with comprehensive real-time vehicle status information, such as fault locations and parts replacement timing, thereby reducing maintenance costs and enhancing train availability and safety.
When condition-based maintenance technology is applied to high-speed rail vehicles through a big data analysis platform, maintenance costs are reduced by up to 30% compared to existing methods, spare parts inventory is reduced by 20–30%, and device lifespan is extended by 20–40%.
Hyundai Rotem plans to develop not only a big data analysis platform based on virtual cloud servers but also a platform based on physical servers on the ground, enabling users to utilize the platform in their preferred environment.
Hyundai Rotem plans to enhance its existing maintenance business and target the global market by establishing a condition-based maintenance system through the development of a big data platform. In addition, it will secure sales channels for its cloud-based big data analysis platform by utilizing the Marketplace, a dedicated sales channel for Naver Cloud Platform.
Meanwhile, the current global railway rolling stock maintenance market is worth approximately 72 trillion won, surpassing the new rolling stock order market (70 trillion won), and continuous growth is expected at an average annual growth rate of 3.2%.
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