Condition Monitoring Software

Are your machine processes invisible to you? Our software brings clarity to operational data and events:
Quick start to digital machine monitoring
Evaluate real-time data and events easily
Can be extended with AI-based error analyses at any time
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Collecting machine data with condition monitoring software
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Full data control
Real-time machine insights: anytime, anywhere
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Relief & safety
Accurate monitoring without additional maintenance personnel
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Easy integration
Via digital interface (e.g. OPC UA) or plug & play with KSB sensors)
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Process optimization
Data insights enable optimization measures

How does our Condition Monitoring Software work?

Our software is connected to your machines via digital interfaces (e.g. OPC UA) or as a plug & play sensor solution. All important KPIs are recorded in real time and clearly visualized on our digital dashboard.
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Illustration of aiomatic's software solution
Monitoring of gear motors by an engineer

Which machine data can be collected?

1

Operating data such as running times, production cycles, energy consumption

2

Sensor data from the machines such as temperature, vibration & speed

3
Environmental conditions & fault logs ​

Features of our condition monitoring software

Vendor-independent sensor data visualization
Create sensor groups for targeted filtering
Digital documentation of machine events in the logbook
Digital shopfloor with live operating status and machine position
Software erfasst und visualisiert Daten.
Darstellung der Softwarelösung von aiomatic

Optional: AI extension for fault detection

With our AI-powered abnormality index (0-100%), you can identify potential problems before they lead to outages.
Automatic early detection of machine faults

Configurable notifications for Predictive Maintenance

Optional: Easy retrofit with Plug & Play KSB sensors
Start predictive maintenance

Successful customer examples from industry

Large industrial machine in the energy sector
Gas storage & compressor
Monitoring of the entire system, in particular the fast-rotating, sensitive turbines.
Section of a machine for processing animal feed
Milling machines for animal feed
Monitoring of storage temperatures and drive performance for reliable & efficient production.
Illustration of a complex coating system
Inline coating machine
Monitoring of the pumps required for the water cycle in the coating plant.
Conveyor belts in port operations
Conveyor belts in port operations
Gear motors in bicycle production
Gearmotors in bicycle production
Condition monitoring of drives and gearboxes to prevent downtime in conveyor technology and interruptions in production.
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Frequently asked questions

Here you can find answers to the most common questions about condition monitoring and our software solution.

What is the difference between production data collection (BDE) and machine data collection (MDE)?

A system for BDE collects information about procedures and processes in the company, such as order data, reasons for downtime or personnel hours. MDE On the other hand, it focuses on the technical conditions and performance data of the machines itself, e.g. running times or operating conditions.

What are the benefits of using MDE software?

1. Real-time transparency of the most important machine KPIs
2. Objective database for maintenance, production and controlling
3. Increasing efficiency through improved machine utilization
4. Basis for advanced applications such as Predictive Maintenance

Why is digital machine monitoring useful?

1. Manual entry is time-consuming, error-prone and often incomplete.
2. Software collects data automatically, in real time and in a tamper-proof manner.
3. This creates a reliable basis for decisions in production and maintenance.

What is the difference between Condition Monitoring & Predictive Maintenance?

Condition Monitoring and Predictive Maintenance differ in their approach to plant monitoring: While former monitors the current status of machines in real time, targets Predictive Maintenance based on this data and forecasts, aims to predict future maintenance requirements. Predictive Maintenance therefore goes one step further by identifying problems early on in order to avoid unplanned outages. Both approaches contribute to the optimization of operation and maintenance, with Predictive Maintenance being particularly efficient through AI-based analyses.

Which machines can be connected with our Condition Monitoring Software?

The software for machine data collection can be used flexibly and can be used both with newer, digitally connected machines as well as with older systems be used. Almost all types of machines can be connected via various interfaces (e.g. OPC UA or MQTT) and, if necessary, additional sensors.

Can I test the software first?

We don't offer a free trial of our software for your live environment. However, we would be happy to take you through our application in a personal appointment and provide you with access to our demo dashboard so that you can discover all features and analyses. If you are unsure whether our software is suitable for your use case, we recommend that you carry out a Proof of Concepts (PoC) with us.

How much does aiomatic's condition monitoring software cost?

According to your requirements, we offer various packages for our SaaS model. In addition, the price depends on the number of data channels you have.

Feel free to contact us if you have any further questions!

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