OHT

Das Problem

Hidden risks in OHT systems

Problems that develop unnoticed can bring operations to a standstill at a critical moment. Unnoticed mechanical wear develops gradually - until minor deviations turn into critical failures with high associated costs.

Chassis wear

Bearings and rollers are constantly subjected to heavy loads. If wear goes undetected, it can lead to unplanned downtime and rising maintenance costs.

Drive train damage

Transmissions and drive components are the heart of every OHT vehicle. Even minor defects can impair power transmission and, in the worst case, bring the material flow to a standstill.

Mechanical instability

Misalignment or wheel damage compromises tracking stability and increases the load on adjacent components. This leads to secondary damage, increased maintenance costs, and production risks.

Die moderne Lösung

The Shift: From Reactive to Predictive

Maintenance is evolving. Instead of relying solely on noise, visual inspections, or fixed maintenance intervals, modern algorithms and artificial intelligence enable a new approach: predictive maintenance.

TODAY: Fixed-schedule maintenance, reactive repairs

Maintenance is performed at fixed intervals or only after it is already too late. Decisions are based on experience and visual inspection, and therefore carry a high risk of unplanned downtime or production defects.Wartung erfolgt nach festen Intervallen oder erst, wenn es bereits zu spät ist. Entscheidungen basieren auf Erfahrung und Sichtprüfung und bergen somit ein hohes Risiko für ungeplante Ausfälle oder Produktionsfehler.

⛔   Waste of resources
⛔   Unplanned outages
⛔   Manual inspection provides little information

TOMORROW: Predictive Maintenance

Machines notify operators by themselves when they need attention. Sensors, data analysis, and AI make maintenance predictable, efficient, and virtually failure-free, setting the new standard in industrial maintenance.

✅   Maintenance only when necessary
✅   Repair before failure
✅   Seamless inspection using sensors and AI

Deep Dive: Hardware & Sensors

Acoustics / Noise level

Acoustic signals and noise levels provide the AI with the perfect basis for in-depth analysis of a wide range of failure causes.

Object identification camera

The camera reliably detects moving objects and vehicles and enables them to be clearly identified and assigned.

Continuous monitoring

High-resolution data

Deep Dive: AI analysis

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Deep insights

Plannable maintenance

Dashboard: Everything at a glance

Gauge chart

A gauge chart clearly displays machine statuses and makes deviations from target values immediately visible. In predictive maintenance, it is used to clearly mark critical areas so that necessary interventions can be planned in advance in a timely and targeted manner.

Time series chart

A time series chart displays measured values in chronological order and forms the basis for a well-founded trend analysis. In predictive maintenance, this makes changes in machine behavior that indicate wear, irregularities or potential faults visible.

Real time overview

Reliable basis for decisions

Solution management with WorldWideThings

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Mit Predictive Maintenance sind Sie im Vorteil

From reacting to a competitive edge

When you know the condition of your OHT vehicles at all times, you eliminate uncertainty in your day-to-day operations. Predictive maintenance gives you control, reduces unplanned downtime, and ensures stable, reliable operation.

Address suspension wear early on

Wear on bearings and rollers is detected before it leads to further damage or vehicle downtime. This allows affected vehicles to be taken out of service in a targeted manner and damage to be repaired before additional repairs or extended downtime occur.

Insure against drive train damage early

Critical changes in the drive and transmission system are identified early on. This allows you to plan maintenance and avoid costly downtime before they lead to expensive repairs during operation.

Steady performance without surprises

Mechanical irregularities in the chassis are detected before they affect directional stability or adjacent components. This keeps the system stable and significantly reduces the need for unscheduled maintenance, even under demanding operating conditions.

Find the right solution with our workshop

Getting started with predictive maintenance often raises many questions. What should be monitored, which technologies make sense, and is it even worth the effort? Our workshop will help you answer these very questions and find a clear direction for your project.

Machine & Plant Workshop

Let’s work together to design the best predictive maintenance solution for you.

To the workshop

Download additional information as a PDF

Download Fact Sheet ⬇

Detect chassis wear before your production comes to a halt.