No More Blind Spots

Real‑time Edge Telemetry (RET) gives you unprecedented visibility into the critical wheel–surface interface across trams, trains, buses and other public‑transport vehicles. More than just sensors, RET is an integrated platform that pairs robust onboard devices with a powerful cloud system to transform raw data into actionable insights for tram, urban transit, mainline rail and bus operators.

Why operators choose RET

  • Catch problems early: identify switch faults, road‑surface issues, flat spots, excessive wear or joint defects across tracks, tram lines and bus corridors before they become safety or service issues.
  • Validate measures quickly: know within days—not weeks—if lubrication, reprofiling or other maintenance actions have the desired effect for your vehicles.
  • Stay in control: RET is vendor‑neutral. You own your data and keep your independence. Consultants can assist, but knowledge remains with you.
  • Deploy without disruption: devices mount externally on trams, trains and buses and start working within hours. Rent or buy according to your budget.
  • Transparent costs: one annual fee covers hardware operation, data transmission, AI analytics, alerts, API access and support. No hidden IT expenses.
  • Scale as you grow: start on a single route or line and expand to entire fleets across different modes at your own pace.
A modern railway network at sunrise, with multiple commuter trains aligned on parallel tracks, symbolizing smart mobility and integrated transport systems.
Nach unten zeigendes Pfeilsymbol zur Anzeige weiterer Informationen oder Navigation.

Benefits

Clear ROI and Predictable Costs

RET is built to eliminate uncertainty, shorten pilot phases and deliver value from day one.

  • Low upfront investments: start with a few rental units or a small purchase on one tram line or bus route.
  • Immediate insights: devices are operational within hours and deliver results through RETWiz within days.
  • All‑inclusive pricing: the annual subscription includes hardware operation, data transmission, analysis, alarms and support.
  • Evidence‑based decisions: even during trials, RET identifies hidden issues and confirms whether interventions work—driving a rapid return on investment.
A modern railway network at sunrise, with multiple commuter trains aligned on parallel tracks, symbolizing smart mobility and integrated transport systems.

Build vs. Buy: Focus on Operations, Not IT

Many operators explore in‑house sensor projects, only to find they consume resources without delivering results.

With RET you get a proven, off‑the‑shelf solution that lets your experts concentrate on operations—be it on trams, trains or buses.

  • Deploy in days rather than launch multi‑year pilot projects.
  • Gain direct visibility into the vehicle–infrastructure relationship without waiting for external reports.
  • Minimise risk with predictable costs and a scalable footprint.

RET empowers you to solve your real challenges across tram networks, mainline rail and bus operations—without the delays, costs and uncertainty of building your own system.

Image

Solution in operation

Client: ABB Adelaide, Australia

Challenge

ABB integrates traction converters into trains that must be monitored for performance and safety. Railway operators, who are often not system integrators, face restricted access to diagnostic data. Additional hurdles include strict access control, high latency, intermittent connectivity, and managing remote devices across multi‑vendor fleets.

Solution

Parametric supplied a tailored remote maintenance system built on its unified connectivity platform. The RAR4000 Mobile Edge Computer provides secure hardware, redundant mobile links, and certified remote‑access software. It offers centralised, auditable control over remote access, with port‑based VLAN segmentation to isolate subsystem data flows. Operators dictate who can access what, when and how—no unsecured third‑party tools or cloud intermediaries.

Benefits

  • Security: Integrated firewall and VLANs ensure strict separation of subsystems.
  • Efficiency: Real‑time data and remote diagnostics cut downtime and support quick decisions.
  • Traceability: Central audit logs deliver complete transparency and ease compliance.
  • Reliability: Redundant communication channels provide stable access in demanding mobile environments.

Client: Bernmobil, Switzerland

Bernmobil logo

Challenge

Tram wheels often squeal in curves when rails aren’t properly lubricated. Lubrication must balance noise reduction with environmental and resource considerations. The core challenge is predicting exactly where and when lubrication is needed to minimise lubricant use and prevent squealing.

Solution

Parametric’s solution combines deep learning with real‑time data processing. Using the RET4000 sensor to gather continuous noise and vibration data and the RAR4000 edge computer for on‑board analysis, the system predicts optimal lubrication timing and locations. A machine‑learning model refines its predictions over time, directing mobile grease pumps with pinpoint accuracy.

Benefits

  • Efficient Lubrication: Lubricant is applied only when and where it’s needed, cutting consumption and protecting the environment.
  • Noise Reduction: Optimally lubricated wheels prevent disruptive squealing.
  • Extended Lifespan: Precise lubrication minimises rail wear, prolonging track life and reducing maintenance costs.

Schedule a demo of RET today!












How it works

Edge Devices + AI in the Cloud

RET consists of rugged modules certified for rail and road environments, mounted on vehicles across modes, and a cloud platform that turns sensor data into decisions.

Edge layer

RET devices monitor vibrations, audio, climate and vehicle subsystems right on the vehicle—whether it’s a tram, train or bus—and pre‑process and synchronise the data in real time.

  • RET4000 — captures wheel‑surface interactions (rail or road) and environmental data.
  • RET3000 — logs vehicle subsystem data via Ethernet, CAN or MVB across rail‑ and road‑based vehicles.
  • RET8000 — synchronises devices and manages real‑time communications across mixed fleets.

No deep vehicle integration is required. Each unit is configured, self‑sufficient and certified for rail and road use.

Illustration of edge data processing with decentralized devices and real-time data analysis.
Alt Text

RETWiz cloud

Data flows securely to the RETWiz cloud, where AI algorithms detect patterns, anomalies and root causes. Through the intuitive web app, operators can:

  • Spot emerging risks and view detailed diagnostics.
  • Listen to audio recordings and analyse frequency spectra.
  • Define KPIs and thresholds, and receive automatic alerts.
  • Export results or connect to existing systems via the open REST API.

This combination of edge and cloud delivers fast feedback and clear recommendations without needing in‑house data expertise.

Symbolic representation of cloud data processing with interconnected servers and digital data flows.