基于微感宏控的铁路智能客站数字孪生建模及应用研究OA

To address the issues of limited micro-level perception and disconnected macro-level management in the operation and management of intelligent passenger stations,this study innovatively integrated digital twin technology and first proposed the concept of"Micro Perception,Macro Control".The aim was to establish a comprehensive framework for an intelligent passenger station digital twin that significantly enhances passenger service experience,operational efficiency,and safety assurance.A holistic framework for an intelligent passenger station digital twin based on"Micro Perception,Macro Control"was proposed.This framework employed Internet of Things technology to achieve micro-perception of physical station entities.A digital twin was constructed to facilitate the organic integration of intelligent applications with macro-level station management.The principles of systems control theory were combined to realize a closed-loop management system encompassing perception,analysis,decision-making,execution,and feedback.The key technical system of this framework included multidimensional technologies such as precise micro-perception of key passenger locations,modeling of station digital twins,macro-control of station operations,safety scenario simulation,and green energy-saving control.A pilot test at Qinghe Station on the Beijing-Zhangjiakou High-Speed Railway was conducted to validate the proposed approach.Experimental results demonstrate that the micro-perception technology based on intelligent video analysis accurately identifies and tracks key passengers,providing technical support for precise passenger services.Macro-control of station operations effectively enables dynamic coordination of various operational factors,supporting efficient station management.Safety scenario simulation robustly enhances safety management,ensuring stable and secure station operation.The constructed overall framework and key technical systems based on"Micro Perception,Macro Control"significantly improve passenger travel convenience while also elevating the overall operational efficiency and safety level of railway passenger stations.This study provides a solid theoretical foundation and practical reference for the future development of intelligent passenger stations.