JR Central (JR東海) is leveraging AWS's IoT (Internet of Things) and machine learning (ML) technologies to enhance the maintenance operations of its Linear Shinkansen (Maglev) system. This initiative is part of JR Central's broader strategy to implement data-driven management practices.
By integrating AWS IoT and ML solutions, JR Central aims to streamline and automate various maintenance tasks. This includes real-time monitoring of train and track conditions, predictive maintenance to identify and address potential issues before they cause disruptions, and optimizing operational efficiency. The use of AWS's advanced technologies allows for the collection, analysis, and application of vast amounts of data generated by the railway system.
Key benefits expected from this integration include reduced maintenance costs, improved reliability and safety of the Linear Shinkansen, and enhanced overall performance. By adopting a data-driven approach, JR Central can make more informed decisions, respond swiftly to any anomalies, and ensure a smoother and more efficient operation of their high-speed rail services.
This chapter underscores the importance of digital transformation in modernizing railway infrastructure and highlights JR Central's commitment to leveraging cutting-edge technology to maintain and enhance their world-class transportation systems.
Source: This info is based on https://www.msn.com/ja-jp/news/techands ... r-BB1oOHAZ? Accessed 2024-07-09
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Source: This info is based on https://www.msn.com/ja-jp/news/techands ... r-BB1oOHAZ? Accessed 2024-07-09
[JP] Linear Maglev: AWS IoT and ML solutions (AI)
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