Jhansi - Bina Railway Line | India
Train DetectionIndia

Jhansi - Bina Railway Line

Operator
Indian Railways – North Central Railway
Country
India
Segment
Main & Regional Line
Application
Track Vacancy Detection
Products
FAdC®, RSR180
Year
2017
Scope of project
221 counting heads, 148 track sections
Download

The Jhansi-Bina railway line is a strategically important line which belongs to North Central Railway and is in Uttar Pradesh. Initially, the line featured analogue axle counters for detecting trains in individual track sections as well as a DC track circuit train detection system in less congested areas.

Eventually, there was a requirement to get them replaced with the Frauscher Advanced Counter FAdC®. This project is one of Frauscher’s iconic Indian Railway projects, featuring 221 counting heads and 148 track sections.

In this project, the FAdC® indoor electronics were placed in 19 stations and 15 block huts, and all 34 are connected over an Ethernet based redundant network, in a distributed architecture.

The wheel sensors were mounted onto the rail with the patented Frauscher Rail Claw which makes the installation process easy and convenient, since no drilling is required. In turn, this preserves the structural integrity of the rail, saves costs, and reduces the dwell time on track for the installation engineers. Additionally, the distributed architecture used in this project minimises setup costs and enhances scalability in an efficient and cost-effective way.

Increasing Availability

COM redundancy, PSC redundancy & network redundancy with bus architecture for very high availability.

Easy and Cost effective Integration

Greater cost saving due to distributed architecture and lower maintenance requirement.

Similar Projects
This might also interest you
1/5
Train DetectionUnited States of America

Charlotte Area Transit System (CATS) Supplementing Audio Frequency Track Circuits with Axle Counters

At the Charlotte Area Transit System, frequent false red signal overruns resulted when electromagnetic interference caused “bobbing” of the line’s audio frequency track circuits. The Frauscher Advanced Counter FAdC® was subsequently considered as an alternative to these track circuits to eliminate the occurrence of false red signal overruns.
Learn More
Data TransmissionUnited Kingdom of Great Britain and Northern Ireland

Headbolt Lane to Rainford Project

As part of the project to expand Merseyrail services, the operator needed to address the challenge of transmitting indication information over a specific section, spanning from Headbolt Lane to Rainford. In this instance, Frauscher’s technology was utilised to fulfill the data transmission requirements of this project, avoiding expensive and time consuming cabling that would have otherwise been required.
Learn More
Train DetectionSpain

Three-rail Castellbisbal

The dual-gauge system of the Spanish railway network is quite challenging in terms of track vacancy detection: Wheel sensors must be installed on two rails next to each other in tight spaces and have to detect axles reliably on the respective rail. Frauscher developed a solution which copes also with the complexity of different interlocking technology in the stations along the line.
Learn More
Train DetectionUnited Kingdom of Great Britain and Northern Ireland

Axle Counter Overlay System

Between London St Pancras International Station and Farringdon Station, there is a history of frequent flooding through the tunnels that adversely affected the reliability of the existing train detection system. Due to this, the installation was non-operational during large periods. However, being a mainline section and a core route through London, high reciliation to any sort of failures is vital.
Learn More
Train DetectionChina

Tram Huangpu Line 1

Tram Huangpu Line 1 (HP1) line is located in urban areas with high traffic density and passenger volume as well as many level crossings. The adverse weather conditions can cause flooding of the track bed and add to the challenges for reliable system availability and operations.
Learn More