Methods and systems for implementing intelligent agents at the station level in rail transit

By constructing a modular professional body architecture and a high-performance processor cluster, combined with the LiteIP secure communication bus and a unified database, the problems of information silos and communication delays in traditional rail transit station-level systems have been solved, enabling efficient autonomous control of station-level intelligent bodies and improving response speed and system security in emergency situations.

CN120017481BActive Publication Date: 2026-01-30SHANGHAI HOLLEYSOFT SYST
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Patent Information

Application Number
CN202510495983.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-04-21
Publication Date
2026-01-30
Estimated Expiration
2045-04-21

AI Technical Summary

Technical Problem

Traditional rail transit station-level control systems suffer from problems such as information silos, high communication latency, lack of a unified data processing platform, poor system scalability, insufficient security, and weak adaptive capabilities, resulting in slow response in emergency situations and difficulty in achieving efficient, intelligent, and collaborative handling.

Method used

A modular professional body architecture is constructed, using a high-performance 64-bit ARM processor and FPGA to implement the LiteIP secure communication bus, establishing a station-level multi-core CPU cluster, and combining a unified real-time database and entity database to perform multi-dimensional analysis and prediction, execute edge computing and distributed linkage control, and realize the autonomous control of the station-level intelligent body.

Benefits of technology

It significantly improves data transmission efficiency and security, shortens response time for critical tasks, increases processing speed and system adaptability in emergency situations, and enhances safety and operational efficiency at the rail transit station level.

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Abstract

This application relates to the field of data communication technology and discloses a method and system for implementing a station-level intelligent agent in rail transit. The method includes: constructing a specialized agent base using an ARM processor, designing a LiteIP secure communication bus based on an FPGA, building a multi-core CPU cluster to construct the intelligent agent's central hub, establishing a real-time and entity database to form a data foundation, integrating federated learning and neural network-based decision generation, and executing edge computing to achieve station-level autonomous control. This application achieves millisecond-level data exchange and intelligent collaborative control within the station-level system, significantly improving the system's response speed and processing efficiency in emergency situations.
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