铁路异物侵限雷视监控系统-Nanjing Ticom Technology Co., Ltd.

Products & Solutions

Product

Private Network

Railway wireless signal coverage system

Signal products

IoT intelligent monitoring and control system products

占位符

Next-Gen Railway 5G-R Wireless System 5G-F Maglev Train-to-Ground System Railway GSM-R Wireless Communication System

5G Coverage System for HSR Digital Train Dispatch (DRTD) Repeater System Railway GSM-R Optical Repeater System GNSS BeiDou/GPS Repeater System

Railway semi-automatic block information transmission system

Fault location and monitoring system for tunnel leaky cables Intelligent tunnel chamber environment monitoring and alarm system Antenna intelligent control system Computer room power environment monitoring system Intelligent patch panel system

Industry solutions

Digital railway

Low-altitude intelligent connectivity

Educational training

占位符

5G private network solution for railway stations and yards Solution of Railway Infrastructure Monitoring Based on AIOT Auxiliary solution for safety of overhead traveling crane and ground train based on Beidou satellite Solution of multimedia scheduling system

Solution of Low Altitude Zhilian 5G Private Network Solution of low-altitude UAV inspection on railway lines

Service

Partner

Co-innovation Partner

Platform partner

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Tmall Mall

National Railway Mall

Ticom Sales: Submit project requirements

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About

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Solution Introduction

In view of the foreign body intrusion incidents in key areas such as railway lines, perimeter guardrails and machine rooms, the company relies on the edge computing platform, combined with directional radar, video surveillance and AI visual analysis to form 24-hour uninterrupted, three-dimensional all-round monitoring to ensure the safety protection of key areas and the safety of railway traffic, and promote the intelligent development of railways.

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Scheme overview

Scenario Solution

Scene 1

1. The positioning accuracy within 1.5KM is less than 50 cm by using the existing railway camera through background machine vision analysis;
2. Each edge node can access 4 videos, and each machine vision analysis server can access up to 15 cameras;
3. It is linked with the front-end detection equipment alarm such as vibrating optical fiber alarm and laser radar along the line.

Scene 2

Scene 3

The positioning accuracy within 1.5KM is less than 50 cm by using the existing railway camera through background machine vision analysis;

Scene 4

The positioning accuracy within 1.5KM is less than 50 cm by using the existing railway camera through background machine vision analysis;