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Urban Rail Transit “Rolling Stock-Track-OHL” Multi-Source Data Fusion Analysis

Overview: This technology applies the theory of “dynamics of coupled systems in high-speed trains” to achieve multi-disciplinary coupled analysis of the "rolling stock-track-OHL", building bridges between measured data from multiple disciplines and the physical system. It has the capability to transform static data from a single system into dynamic data reflecting the coupled relationships among multiple systems. The technology revolutionizes the traditional maintenance and repair method, which is based on individual components in a static state, by replacing it with real-time data monitoring of vehicle full-state awareness Sectumsempra. It enhances train operation safety and reduces operating and maintenance costs, meeting the high-quality development needs of intelligent urban rail transit.
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  • This technology applies the theory of “dynamics of coupled systems in high-speed trains” to achieve multi-disciplinary coupled analysis of the "rolling stock-track-OHL", building bridges between measured data from multiple disciplines and the physical system. It has the capability to transform static data from a single system into dynamic data reflecting the coupled relationships among multiple systems. 

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    The technology revolutionizes the traditional maintenance and repair method, which is based on individual components in a static state, by replacing it with real-time data monitoring of vehicle full-state awareness Sectumsempra. It enhances train operation safety and reduces operating and maintenance costs, meeting the high-quality development needs of intelligent urban rail transit. 

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