High-speed Maglev Digitization and Intelligentization Top-level Design
Journal Title: Urban Mass Transit - Year 2024, Vol 27, Issue 8
Abstract
Objective Digitization and intelligence (D&I) is essential for rail transit high-quality development. Currently, there is a lack of top-level design for high-speed maglev D&I, necessitating research to meet the requirements for the high-quality construction, operation, and sustainable development of high-speed maglev system. Method The progress of D&I advancements for railway and urban rail transit in China is introduced, and the characteristics of current D&I development in rail transit sector are summarized. Considering its unique technological characteristics, the practical foundation for high-speed maglev D&I are analyzed from aspects such as technological basis, time window, and social needs. The connotations of high-speed maglev D&I are identified from four levels of technology, business, management, and society. A basic evolution path for high-speed maglev D&I is proposed, elaborating on five key aspects: top-level design, technology-based construction, intelligent application deepening, organizational management optimization, and intelligent cycle establishment. Based on system engineering methods, the overall framework for high-speed maglev D&I is designed, abstracting the entire system into seven sub-frameworks: service, function, logic, technology, physics, data, and security. Result & Conclusion High-speed maglev D&I is not a simple technical concept, but a continuous process of development and evolution. Revolving around data as the main thread, the basic path is divided into two dimensions: evolution and implementation. Its overall framework is open, flexible, multi-dimensional, and multi-level, including four aspects: system engineering method, system abstraction, data system, and smart cycling. The conceptual connotation, basic path, and overall framework collectively constitute the foundation for high-speed maglev D&I top-level design.
Authors and Affiliations
Chuanshu MENG
Keywords
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- EP ID EP742673
- DOI 10.16037/j.1007-869x.2024.08.002
- Views 32
- Downloads 0
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