Introduction

KONUX Switch is a predictive and prescriptive maintenance solution built for the most failure-prone and costly assets in rail infrastructure.

By combining IloT devices, AI, and deep rail expertise, it enables early failure detection, precise diagnostics, and data-driven planning. The result: fewer disruptions, lower OPEX, and longer asset life.

50%

fewer delay minutes

45%

reduction in downtime for repair

30%

lower operational expenditure

20%

longer component lifetime

90%

of service-affecting defects detected in advance

What It Does

KONUX Switch continuously analyzes the condition of your most critical components, trackbed, frog (crossing), and point machine, providing early alerts and actionable recommendations.

  • Detect anomalies before they escalate
  • Optimize inspection and maintenance schedules
  • Track the effectiveness of maintenance actions
  • Extend component life through smarter planning
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Use Cases

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Maintenance Decision Support & Quality Assessment
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Maintenance Decision Support & Quality Assessment

Provides data-driven maintenance recommendations to guide optimal timing and method selection, helping prioritise the most effective interventions. Evaluates the impact of tamping, grinding, or welding by comparing pre- and post-maintenance health states. Helps identify ineffective processes and the root causes of recurring inefficient maintenance activities.

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Frog Health Monitoring
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Frog Health Monitoring

Monitors acceleration and displacement in the crossing area. Detects early degradation, predicts remaining useful life, and helps extend asset lifetimes.

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Trackbed Health Monitoring
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Trackbed Health Monitoring

Continuously measures vertical displacement under train load. Detects voiding and settlement early, enabling targeted tamping and avoiding adjacent component damage.

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Point Machine & Locking Health Monitoring
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Point Machine & Locking Health Monitoring

Combines electric current, pressure, vibration, and weather data to track mechanical wear and control system performance of point operating equipment. Identifies root causes and supports timely interventions.

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Features

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Smart Alerts

Context-aware alarms and warnings triggered by meaningful changes in signal data. Alerts are corrected for weather, temperature, and train speed to reduce false positives.

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Wheel Trajectory Reconstruction (WTR)

Al-powered reconstruction of the wheel path through the frog area, identifying dip angles, impact forces, and early-stage geometry defects.

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Asset Prioritisation

Aggregated reliability scores representing the health of the asset across frog, point machine, and trackbed, supporting consistent triage and fleet-wide asset prioritisation.

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Asset Notes & Annotations

Attach field observations, inspection records, photos, videos, and alerts to individual assets. Supports team collaboration and long-term asset intelligence.

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Benefits

Reduce disruption

Catch failures early and schedule interventions before they cause unplanned downtime or speed restrictions.

Lower cost

Target the right switch, at the right time. Extend component life and reduce unnecessary maintenance.

Increase safety

Reduce time in the field. Enable more scheduled, daytime work and fewer emergency responses.

Improve decision-making

Gain real-time visibility and Al-driven insight into switch condition, usage, and performance.

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Trusted in the Field

KONUX Switch is deployed across major European rail networks including Deutsche Bahn and Network Rail. It has passed third-party verification and enabled infrastructure managers to reduce delays, prioritise investment, and modernise maintenance regimes.

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System Overview

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Hardware

IloT sensors installed in under 15 minutes, with 5+ years battery life

Software

Cloud-based dashboard for monitoring, alerts, and planning

Al Core

Trained on 500M+ train traces across 10+ countries, 13 AI models

Security

ISO 27001-compliant; hosted in Germany; fully encrypted

Case Studies

Look at possible applications

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Deutsche Bahn

How is Deutsche Bahn using industrial internet of things (IIoT) technology and analytics to avoid infrastructure failure?

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Network Rail

Learn about the outcome of the KONUX trials in Luton North & Doncaster.

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Deutsche Bahn

Learn about how Oc’via Maintenance optimizes geometry monitoring with the help of AI and IIoT.

Proven Impact in the Field

See how leading rail operators are using KONUX to boost reliability, efficiency, and performance.