Breuer Artemis – Video

MORE EFFICIENCY AND PUNCTUALITY FOR TOMORROW´S RAILWAY INFRASTRUCTURE

New Intelligence Railway System

  • autonomous and continuous condition monitoring
  • reliable forecast and damage assessment
  • distinct recommendations for action
  • increased planning reliability for maintenance measures
  • higher availability of critical infrastructure

The system for reliable railway networks

BREUER-ARTEMIS is a digital condition monitoring system for railway switches which are critical elements of the railway infrastructure. Thanks to the innovative sensor system, measurement data concerning the condition of switches can be recorded and evaluated in previously unavailable levels of detail. Using sophisticated AI algorithms in the central backend, the system generates forecasts and action recommendations for each monitored switch. Potential weaknesses or component failures are detected early, forecasts will be sent to the customer, and maintenance measures can be carried out predictively. Thus, the maintenance effort is reduced, the service life of the monitored switches is improved, and rail traffic becomes safer and more punctual.

Business Areas
Railway System
Consulting
Solution
Service
Key element of the system: the self-learning AI analysis software

THE SYSTEM FOR RELIABLE RAILWAY NETWORKS

Efficient and ready for use due to artificial intelligence

The BREUER-ARTEMIS system detects and predicts damage at the wing rails, the frog point, and at the horizontal screw connections that might prevent operation. Component failure or hollow sleepers in the overflow area of the frog, breakouts in the switch device area, or rail fastening errors are revealed or forecasted as well. The determination and maintenance of such damages is time-consuming and requires qualified technical staff, so that the permanent automated monitoring of these targets by artificial intelligence offers an ideal approach to solve those challenges. The self-sufficient modular monitoring system relies on solar power supply, and transmits all relevant status and measurement data using advanced communication technology. The monitoring of the system status, the determination of the prognosis horizons, as well as the relevant indication of the damage grade are determined in a centralized monitoring and analysis platform.


Key element of the system: the self-learning AI analysis software

The AI analysis software can be hosted either in the BREUER data center or in the customer´s own infrastructure. Future analysis goals include axle counts as well as collecting traffic and crossing data.

Business Areas
Railway System
Consulting
Solution
Service
BREUER-ARTEMIS sensor module with an energy module for self-sufficient energy supply
Areas of application
  • switch rail and frog monitoring for error detection
  • axle counting
  • traffic and crossing surveillance

Fault detection
  • hollow sleeper layer(s)
  • broken rail
  • broken sleeper
  • wear/extrusions/breakouts
  • rail attachment (loose/breakage)
  • status diagnosis and other information



Installs in 15 minutes
Installs in 15 minutes
Scan with IoT-Link device
Scan with IoT-Link device
Automatic registration with BREUER ARTEMIS app
Automatic registration with BREUER ARTEMIS app
Simple and non-reactive
Simple and non-reactive

MINIMAL EFFORT, MAXIMUM BENEFIT

BREUER-ARTEMIS can be installed easily and quickly on all common railway switch models in less than 15 minutes per monitoring area. The modules are robust and will operate self-sufficiently with solar power supply for at least five years. They require only a few manual actions for maintenance. Automated registration using an IoT link device with the relevant BREUER-ARTEMIS app ensures user-friendly setup and bringing into service. The monitoring system is non-reactive and has been approved for operational testing, taking basic integrity (SIL 0) into account.

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Business Areas
Railway System
Consulting
Solution
Service