Dillinger Hütte | Germany
train-detectionGermany

Dillinger Hütte | Germany

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
Download

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-detectionFrance

Homologation for the Île-de-France tramway network | France

The network of Île-de-France tramways in the region of Paris has been a showcase model of public transport since the line T1 opened in 1992. Over a million passengers use these trams daily and today, the system consists of 11 lines covering over 100 kilometres of track. Over the next years it is planned to expand this network even further. For track vacancy detection, the Frauscher axle counting system is considered as being the ideal solution for this comprehensive network.
Learn More
train-detectionUnited States of America

Tracking Trains in Houston | USA

Houston MetroRail (METRO for short) is comprised of three light-rail lines covering 22 miles. Two-car, low-floor trainsets are powered by overhead catenary and operated on a mix of rail types, including embedded, grooved, concrete, and ballasted track. Harsh weather conditions such as extreme heat, humidity, and storms with heavy rains causing floods are typical for Houston. Combined with the variable track structure this caused significant malfunctions of the wheel sensors of METRO’s signalling system.
Learn More
train-detectionUnited Kingdom of Great Britain and Northern Ireland

London to Corby | UK

The project was part of Network Rail’s Midland Main line electrification programme and involved re-signalling between Bedford and Kettering. The goal is the reduction of industry costs and environmental benefits through lighter rolling stock, reduced fuel costs and lower carbon emissions.
Learn More
train-detectionIndia

Increasing Availability at Adra Yard | India

Adra Yard belongs to the Southeastern Railway Zone of Indian Railways and is in West Bengal. Initially the yard was equipped with track circuits and there was a requirement to get them replaced with the Frauscher Advanced Counter FAdC®. This project is one of Frauscher’s esteemed Indian Railway Projects with a coverage of 139 counting heads and 97 track sections.
Learn More
train-detectionChina

Tram Huangpu Line 1 | China

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