7 min reading time, updated on 07.04.2025
Artificial intelligence (AI) is a key driver of Industry 4.0 – but its use often fails due to complex data pipelines or isolated data sources. With bill-X’s ActiveDB, companies can overcome these hurdles: The living digital twins of machines, products and processes not only provide the necessary data, but also the technical context to efficiently train AI models and use them directly in operations.
Content
After reading this article, you’ll know:
Digital twins in ActiveDB are more than just digital images – they are dynamic data sources that represent real assets (machines, motors, gearboxes) and their interactions. This data forms the ideal basis for AI training:
1.Comprehensive data acquisition
The twins not only record individual measured values (e.g. temperature, energy consumption), but also document complex correlations.
Example: The relationship between an engine and its gearbox is automatically recorded – including load distribution, wear patterns and efficiency indicators.
2. Time series data via the PANDAS interface
ActiveDB provides structured time series data via a PANDAS interface – both historical and real-time data.
Example: AI tools (e.g. TensorFlow, PyTorch) can access this data directly without the need for a separate database.
3. context for better AI results:
Conventional AI models often work with isolated raw data. In ActiveDB, data is always linked to technical context (e.g. “Engine A drives gearbox B”).
This enables more precise models that not only recognize patterns, but also understand causes.
The PANDAS interface of ActiveDB is a game changer for data scientists and AI developers:
Direct access to time series:
AI tools can retrieve structured data from the digital twins via the interface – whether for training, inference or live analyses.
No duplicate structures:
The data is read directly from the ActiveDB. There is no need for additional databases or manual exports.
Flexibility for all use cases:
Batch processing: use historical data to train AI models.
Real-time streaming:
Analyze live data for immediate forecasts or control decisions.
A machine manufacturer uses ActiveDB to create digital twins of its systems. Using the PANDAS interface, he accesses vibration data, temperature curves and load profiles to train an AI model for predictive maintenance. The model recognizes patterns that indicate an impending bearing failure and automatically triggers maintenance alarms – without manual data collection or complex infrastructure.
With ActiveDB, AI is not an IT project, but a natural part of your data management. Digital twins provide the necessary data, the PANDAS interface ensures easy access – and you benefit from solutions that can be integrated directly into your processes.
Du brauchst eine unkomplizierte Schnittstelle und suchst noch einen Partner? Oder ist dein Projekt eher komplex und dein Vorhaben schwierig? In beiden Fällen – perfekt.
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Unsere Kontaktdaten:
bill-X GmbH
Liebigstraße 29
D-49074 Osnabrück
+49 541 71008-0
info@bill-x.de
Nutze das Formular oder schreibe uns einfach eine E-Mail. Wir freuen uns auf Deinen Besuch an unserem Stand.
Unsere Kontaktdaten:
bill-X GmbH
Liebigstraße 29
D-49074 Osnabrück
+49 541 71008-0
info@bill-x.de
