Hitachi Rail Implements Digital Technologies in Copenhagen Metro

Implementation of Digital Technologies in Copenhagen Metro

Digital technologies in Copenhagen Metro are at the forefront of the city’s transportation upgrade, this is reported by the railway transport news portal Railway Supply.

Hitachi Rail is utilizing the HMAX platform to gather and analyze data in real time. This solution helps reduce maintenance costs and enhances train reliability.

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Millions of passengers rely on the metro every week, and this number will likely increase. To meet the demand, the system needs to remain efficient and reliable. The HMAX platform continuously collects data on the condition of train components such as wheelsets and bogies. These digital technologies prevent malfunctions, optimizing performance and safety.

Sensors installed on trains send data to HMAX in real time. The platform’s artificial intelligence then processes the data and predicts when maintenance is required. This proactive approach extends the lifespan of crucial components and eliminates unnecessary repairs. With these advancements, Copenhagen Metro moves toward a more reliable and efficient future.

The Benefits of Digital Technologies for Metro Efficiency

Digital technologies in Copenhagen Metro not only cut down maintenance costs but also enhance system reliability. The artificial intelligence within HMAX helps optimize train operations, reducing wear on equipment. This ensures passengers enjoy a safe and efficient journey while the metro operates cost-effectively.

Nvidia-powered HMAX processes large amounts of real-time data, allowing quicker decision-making. Metro technicians can identify and address issues before they become problems, ensuring uninterrupted service. The platform is expected to be fully operational by 2025, marking a new era of efficiency for Copenhagen Metro.

The leadership at Copenhagen Metro highlights the critical role of digital technologies in maintaining a stable and reliable service. Their partnership with Hitachi Rail aims to drive continuous improvements in both system efficiency and long-term reliability.

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