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More than just listening: Digital intelligence for your valves.

Damage to industrial valves often develops gradually. Leaks cause pressure losses, wear impairs function, and cavitation or erosion attack internal components. Without early detection, unplanned downtime is a real risk.

Das Problem

Invisible risks. Tangible consequences.

What begins inside a valve often goes undetected for a long time, until performance, safety, and reliability are suddenly at risk. Hidden damage develops gradually and only becomes apparent once it becomes costly.

Leaks

Leaks in the seat, stem, or body cause pressure loss, energy waste, and potential safety hazards. Internal leaks often go unnoticed for a long time and significantly compromise process stability.

Functional disorders

Wear, corrosion, or faulty actuators can prevent valves from opening or closing reliably. This compromises control accuracy and can lead to unplanned downtime.

Flow damage

Cavitation and erosion attack components from the inside, damaging sealing surfaces and seating surfaces. This results in vibrations, a drop in performance, and a significantly reduced service life.

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

Position/Abstand

Durch die Messung von Position und Abständen lassen sich Unregelmäßigkeiten im Bewegungsablauf von Maschinen oder Anlagen frühzeitig erkennen. So werden Verschleiß, Justierbedarf oder drohende Störungen sichtbar.

Electricity

Pressure

Vibration

Vibration measurements reveal irregularities at an early stage and provide the AI with the perfect basis for an in-depth analysis of various causes of faults.

Flow rate

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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Our Solution

We listen to, monitor, and understand your valve.

We collect and combine extensive operational and condition data to provide comprehensive condition monitoring. We also integrate our maintenance solution into your system on a customized basis.

Possible sensors

Position/Abstand

Electricity

Pressure

Vibration

Flow rate

Detectable damage:

Stickiness, corrosion, deformation, friction, jamming, spindle failure, gear damage, overload, energy consumption, characteristic curve errors, seat wear, leakage, design flaws, narrowing, cavitation, flashing, flow separation, erosion, microdamage, process deviation, control errors, deposits.

Mit Predictive Maintenance sind Sie im Vorteil

Maintenance before things get critical

Smart monitoring turns uncertainty into predictable action and turns malfunctions into manageable measures. This allows you to ensure availability, reduce risks, and maintain full control over your valves.

Detect leaks early

Sensors detect even the slightest changes in pressure, flow, or noise patterns before a leak becomes critical. This allows for targeted maintenance of seals and seating surfaces before safety risks or production losses occur.

Prevent malfunctions early on

Continuous monitoring of operating times, motion profiles, and drive forces makes gradual wear immediately apparent. Maintenance is performed proactively rather than reactively, and unplanned downtime is significantly reduced.

Flow damage

Cavitation and erosion attack components from the inside, damaging sealing surfaces and seating surfaces. This results in vibrations, a drop in performance, and a significantly reduced service life.

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