As soluções de Monitoramento de Passagem de Nível (RXM) evitam falhas de PNs e auxiliam no trabalho de investigação. As PNs ferroviárias são uma interface crítica entre a ferrovia e o público que requer manutenção e testes regulares para garantir a segurança.
The RXM concept is based on a modular design, which allows easy expansion to include additional monitoring and integration with existing railway and IT systems on a number of levels. The system monitors and records the performance of rail crossing equipment, timing and sequences to enable proactive maintenance, prevent failures and reduce test times when investigating incidents and allegations.
RXM monitors the performance of rail crossings to enable proactive maintenance. Event recording produces a precise chronological log of the status of all controls and indications associated with the rail crossing operating system. Real time condition monitoring enables continuous data acquisition of the rail crossing components and sub-systems that may deteriorate between routine maintenance and inspection. Information is sent over a fixed network or wireless connection to a central server through which the maintainer receives maintenance notifications.
No matter what rail transport or application area – RXM can be used by all railways:
RXM consists of sensors to measure physical or electrical parameters, field units including loggers and network equipment to collect, format and transmit the real time data and a back office server to analyze the accumulated data, announce alarms as required and host the web based user interface. Modular design supports quick and efficient installation inside control cabinets or equipment rooms.
By ROADMASTER® RXM monitoring the control inputs to a rail crossing, utilizing non-invasive CTs, sensors and spare relay contacts, the complete rail crossing control sequence can be monitored.
ROADMASTER® RXM ranges from providing basic event recording to condition monitoring including performance analysis.
Intelligent analysis of the data collected enables the system to identify deterioration in condition and allow intervention – crucially before a failure occurs.
This advance warning provides a vital timeframe in which maintenance work can be scheduled to restore normal operation.
