Frauscher Sensor Technology has completed the divestiture to Wabtec Corporation.

Find Out More
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 Detection, ServicesUnited Kingdom of Great Britain and Northern Ireland

Cutting delays through data-driven maintenance

Frauscher has supported the Paddington project with the adoption of Frauscher Insights Diagnostics, a cloud-based monitoring solution that increases data usefulness and availability. By providing faster fault analysis and health messages, Frauscher Insights has helped Network Rail improve reliability, reduce downtime and delay minutes by up to 80%, and shift towards a proactive maintenance approach.
Learn More
Train DetectionFinland

Kokkola

Frauscher supplied one of Finland’s busiest railway lines with new Axle Counters. The line was extended from a single to a double track section and Mipro was looking for a solution which can interface with their interlocking system in an efficient and cost effective way.
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
Train DetectionCanada

Edmonton Metro Line

The Edmonton Metro Line was experiencing significant issues with its newly installed Communications Based Train Control (CBTC) signalling system, which did not perform to the operator‘s expectations. The city was forced to run an incomplete schedule with reduced train speed and frequency which negatively affected commuters and the city of Edmonton in general. Finally in 2019, the operator decided to install a new system in cooperation with Frauscher.
Learn More
Train DetectionIndia

Ensuring reliable rail operations across India´s longest rail-road bridge

The Bogibeel Bridge is India’s longest rail-road bridge that connects Assam and Arunachal Pradesh, carrying both rail and road traffic across the Brahmaputra River. Harsh environmental conditions and structural constraints made conventional signalling unworkable. The Frauscher Advanced Counter FAdC® axle counting system was selected for its proven reliability and low maintenance under these challenging conditions.
Learn More