PRM 4.0: Model-based condition monitoring & prediction system for the rail network
The Predictive Railway Monitoring 4.0 (PRM 4.0) project aims to increase the safety and availability of railroad infrastructure through innovative technologies. The focus is on an “intelligent switch” that uses sensors and artificial intelligence (AI) to monitor the condition of switches and enable predictive maintenance.
Challenges in rail transport
Switches are central elements of the rail network and are crucial for operational stability. Traditional maintenance approaches are often based on fixed intervals without taking into account the actual condition of the components. This can lead to unnecessary maintenance or unexpected breakdowns that affect rail traffic.
Project goals
Increased safety: Early detection of wear and potential malfunctions reduces the risk of malfunctions and accidents.
Increased availability: Planned maintenance measures based on actual condition data minimize downtimes and maximize operational readiness.
Optimization of life cycle costs: More efficient maintenance strategies reduce costs in the long term and extend the service life of infrastructure components.
Innovative solutions
Real-time data fusion: PRM 4.0 integrates route and vehicle data as well as external sources such as weather information and timetables. This comprehensive collection of data provides an accurate picture of the current state of the infrastructure.
Energy self-sufficient sensor technology: The use of innovative, energy self-sufficient sensors continuously records relevant parameters on the switches without the need for external energy sources.
Artificial intelligence and machine learning: AI and machine learning are used to derive precise forecasts about the short and medium-term condition of the switches from the collected data. This enables condition-based and predictive maintenance.
Building on the results of PRM 4.0, the technologies developed are being further developed and implemented on a broader scale in the ongoing EU follow-up project iam4rail. The aim is to create an integrated asset management system for the European rail network that uses intelligent switches and modern monitoring technologies to increase the efficiency and safety of rail traffic.
The PRM 4.0 research project was funded by the FFG.
Project details
Project short title: PRM 4.0
Long project title: Development of a condition-based and predictive railway monitoring system for track and rolling stock
Funding call: Mobility of the future – 11th call for proposals
