Frauscher Sensor Technology has completed the divestiture to Wabtec Corporation.

Dillinger Hütte | Germany
Train DetectionGermany

Dillinger Hütte

Operator
AG der Dillinger Hüttenwerke
Country
Germany
Partner
Hanning & Kahl GmbH
Segment
Industrial & Mining
Application
Track Vacancy Detection
Products
RSR180, FAdC®i
Year
2012
Scope of project
34 counting heads

A new ladder track was required to provide more parking tracks in the steel plant. At the same time, the layout of the dead end tracks were optimised and the efficiency of the whole depot improved by installing the Frauscher Advanced Counter FAdC®i in combination with the wheel sensor RSR180. With the implementation of the Frauscher Diagnostic System FDS, the overall maintenance costs can be significantly reduced.

Hanning & Kahl implemented 16 power operated, locally controlled points (EOW). A SIL3 proven control ensures safe, flexible and efficient operation. The Frauscher Axle Counter FAdC®i in combination with the wheel sensor RSR180 guarantees reliable train detection, while Frauscher Diagnostic System FDS provides diagnostic data to the higher level control system.

Thanks to the FDS which allows collection of data all over the system, the maintenance staff is now provided with diagnostic tools and a virtual track representation of the entire depot area. Irregularities and failures can be detected in advance before coming to expensive breakdowns. With the condition-based maintenance replacing scheduled maintenance, the overall cost can be significantly reduced.

Functional modularity

The FAdC® provides reset options, counting head information, counting head control functionality and comprehensive diagnostic facilities.

Optimise maintenance

Analysis of diagnostic data provided by FDS allows condition-based maintenance and preventive measures.

Similar Projects
This might also interest you
1/5
Train DetectionKazakhstan

FAdC® at Uglerudnaya Station

AcelorMittal is the operator of the Uglerudnaya industrial railway station, located in Temirtau, Kazakhstan. The station features a total of 56 switches and 52 track sections to enable the smooth flow of train traffic. To ensure the safety of all trains, an interlocking system is used to establish secure routes for incoming, outgoing, and passing trains. This requires effective traffic management and a dependable train detection system to detect the presence of trains on the tracks.
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 DetectionUnited States of America

Reducing Delays in a Metro (subway) Environment

A large metro operator was researching ways to reduce bottlenecks that were causing significant delays at a busy station. With two routes dividing in close proximity to the station and a complex auto-routing system that required the use of a 30-second timer to release switches, trains would frequently back up when approaching the station.
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.
Train DetectionIndia

Jhansi - Bina Railway Line

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.