PRM 4.0: Model-based condition monitoring and prediction system for the rail network
The project Predictive Railway Monitoring 4.0 (PRM 4.0) aimed to enhance the safety and availability of railway infrastructure through innovative technologies. The focus was 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 critical components of the rail network and essential for operational stability. Traditional maintenance approaches are often based on fixed intervals without considering the actual condition of the components. This can lead to unnecessary maintenance or unexpected failures that disrupt rail operations.
Project Objectives
Enhanced safety: Early detection of wear and potential malfunctions reduces the risk of disruptions and accidents.
Increased availability: Scheduled maintenance based on actual condition data minimizes downtime and maximizes operational readiness.
Optimized lifecycle costs: More efficient maintenance strategies reduce long-term costs and extend the lifespan of infrastructure components.
Innovative Approaches
Real-time data fusion: PRM 4.0 integrates data from the track, vehicles, and external sources such as weather information and timetables. This comprehensive data collection provides an accurate picture of the current infrastructure condition.
Self-powered sensors: The use of innovative, self-sustaining sensors enables continuous monitoring of relevant parameters at the switches without the need for external power sources.
Artificial Intelligence and Machine Learning: AI and machine learning are used to generate precise predictions about the short- and medium-term condition of switches from the collected data. This enables condition-based and predictive maintenance.
Building on the results of PRM 4.0, the ongoing EU follow-up project iam4rail continues to advance and expand the implementation of the developed technologies. The goal is to create an integrated asset management system for the European rail network, enhancing efficiency and safety with intelligent switches and modern monitoring technologies.
The PRM 4.0 research project was funded by the FFG.
Project Details
Project Short Title: PRM 4.0
Full Project Title: Development of a Condition-Based and Predictive Railway Monitoring System for Track and Rolling Stock
