Frauscher Sensor Technology has completed the divestiture to Wabtec Corporation.

Find Out More
FAdC at Vhodnaya Station | Kazakhstan
Train DetectionKazakhstan

FAdC at Vhodnaya Station

Operator
ArcelorMittal Temirtau
Country
Kazakhstan
Partner
Kazcenterelectroprovod (KCEP)
Segment
Industrial & Mining
Application
Track Vacancy Detection
Products
RSR180, FAdC
Year
2017

ArcelorMittal is responsible for the operation of a dedicated industrial railway infrastructure located in Temirtau, Kazakhstan. At Vhodnaya station, an essential shunting yard, various goods and materials, such as polyester, zinc, aluminium, sinter, iron ore, and coke-chemical products, are loaded and unloaded. The station's robust infrastructure features 64 switching points and 68 signals, necessitating the use of a high-performing train detection system to ensure the safe and efficient management of traffic flow.

The Vhodnaya station is a shunting yard that deals with various goods and materials, but the existing track circuit-based system for traffic management was not reliable enough due to extreme weather conditions and industrial dust contamination. To maintain uptime under such circumstances, the operator opted for a modern axle counter system, the Frauscher Advanced Counter FAdC. The new system includes 120 Frauscher Wheel Sensors RSR180 that proved to be reliable and cost-effective. By installing the new system, lifecycle and maintenance costs were significantly reduced, downtime due to train detection failures was reduced, and operational efficiency increased.

Lower maintenance costs

By installing the axle counter, lifecycle and maintenance costs have been reduced dramatically.

Greater efficiency

Efficiency in terms of traffic management and the use of freight cars has increased.

Increase in system availability

Increase in uptime due to no train detection failures, leading to greater availability.

Similar Projects
This might also interest you
1/5
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.
Train DetectionUnited Kingdom of Great Britain and Northern Ireland

Maintaining the past, creating the future

The Dean Forest Railway (DFR) operates a historical 7 km passenger service line running north from Lydney Junction to Parkend, in the Forest of Dean. Due to extensions of the line and an additional turnout being added at Parkend, an update and modernisation of the existing train detection and signalling system was necessary. Being a heritage railway, it requires high standards in terms of signalling and safety, whilst maintaining the historical touch of the line.
Train DetectionIndia

Ensuring reliable rail operations across India´s longest railroad bridge

The Bogibeel Bridge is India’s longest railroad 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 signaling impractical. The Frauscher Advanced Counter FAdC axle counting system was selected for its proven reliability and low maintenance requirements, even in challenging conditions.
Train DetectionIndia

Vijayawada – Gannavaram Rail Line

The Vijayawada – Gannavaram rail line belongs to South Central Railway and is situated in Andhra Pradesh. Initially, the line featured a conventional signalling system and there was a requirement by the operator to update this into an automatic signalling system with the Frauscher Advanced Counter FAdC.
Train DetectionChina

Fenghuang Maglev

Fenghuang Maglev is a medium-low speed maglev rapid transit line. Since maglev trains do not have wheels, traditional wheel-based detection systems cannot be directly applied to maglev traffic engineering.