Urban rail intelligentization-oriented data processing method, device, architecture and electronic equipment

By constructing a dynamic data closed loop that is self-perceived and self-optimized, the problem of data fragmentation in urban rail transit systems has been solved, and the integration of data collection and model training has been achieved, thereby improving the operational efficiency and passenger service level of urban rail transit.

CN122087447APending Publication Date: 2026-05-26TRAFFIC CONTROL TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
TRAFFIC CONTROL TECH CO LTD
Filing Date
2025-12-29
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

In urban rail intelligent systems, data is fragmented and scattered, making it impossible to achieve data closure, which prevents models from mutually promoting each other and continuously iterating and evolving.

Method used

By identifying the data to be analyzed, the existing scene dataset analysis subsystem and the scene recognition subsystem to be enhanced are used for analysis, data collection rules are generated or updated, targeted data collection is carried out using the data collection subsystem, and the model is optimized by combining the model training and testing subsystem, thus constructing a dynamic data closed loop that is self-aware and self-optimizing.

Benefits of technology

It integrates data collection, model training, and application feedback, and can intelligently adjust the direction and strategy of data collection to generate high-value datasets, continuously driving the iteration and evolution of intelligent urban rail applications, and improving operational efficiency, safety assurance capabilities, and passenger service levels.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides an urban rail intelligentization-oriented data processing method, device, architecture and electronic equipment, and belongs to the technical field of data processing.The urban rail intelligentization-oriented data processing method comprises the steps of determining to-be-analyzed data; the existing scene data set analysis subsystem and / or the to-be-enhanced scene recognition subsystem are / is adopted to analyze the to-be-analyzed data, and a target scene needing to be enhanced is recognized; the to-be-enhanced scene recognition subsystem generates or updates a data acquisition rule based on the scene features of the target scene; the data acquisition subsystem performs data acquisition on the urban rail system based on the data acquisition rule so as to obtain target data related to the target scene; and training or optimizing the model by the model training and testing subsystem based on the target data. Data collection, model training and application feedback are integrated into an organic whole, a dynamic data closed loop capable of self-sensing and self-optimizing is constructed, mutual promotion of models is achieved, and continuous iteration evolution is achieved.
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