Railway line patrol safety intelligent early warning system and method based on edge computer

By utilizing edge computing and artificial intelligence technologies, an intelligent early warning system for railway line patrol has been built, solving the problems of low efficiency in manual inspections and long latency in video surveillance. This system enables real-time safety monitoring of railway lines and timely handling of abnormal events, thereby improving patrol efficiency and safety.

CN122176854APending Publication Date: 2026-06-09深圳云存科技有限公司
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Patent Information

Application Number
CN202411791961.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-06
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

The existing railway line patrol mainly relies on manual inspection, which is inefficient and poses safety risks. Video surveillance relies on networks with high latency and poor scalability, making it impossible to respond to abnormal events in a timely manner, resulting in delays in accident handling.

Method used

An intelligent early warning system based on edge computing is adopted, including a cloud platform for intelligent patrol system along railway lines, network infrastructure units, on-site edge intelligent early warning devices and Internet of Things (IoT) sensing facilities. It uses IoT video cameras and edge computers to collect and analyze data in real time, and combines artificial intelligence algorithms to achieve autonomous identification and early warning of abnormal events.

Benefits of technology

It enables real-time alarms for the safety environment of railway lines, reduces the workload of manual inspections, improves inspection efficiency and quality, enhances the ability to prevent risks in key areas, and ensures the safety of railway operations.

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Abstract

The invention discloses a railway line patrol safety intelligent early warning system and method based on an edge computer, relates to intelligent safety early warning in the field of railway traffic, and aims to take controllable emergency measures in real time and reduce negative effects of events. The railway line patrol safety intelligent early warning system based on edge calculation comprises a railway line intelligent patrol system cloud platform, a railway line intelligent patrol system network facility unit, a field edge intelligent early warning device and traffic control unit and an Internet of Things video sensing facility unit. The invention aims to uninterruptedly analyze video streams of monitoring cameras at key parts along a railway for 24 hours after deploying an edge computer, process data on site in real time, reduce time delay, recognize abnormal events in time, take temporary emergency measures as quickly as possible, and report the abnormal events quickly, so that the response time of the abnormal events is effectively shortened, and the safety of the railway is improved. The railway traffic abnormal event processing efficiency is greatly improved, the accuracy of emergency measures is improved, and the safety along the railway is ensured.
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