The raw data analysis accesses the unaltered time series of your machines, control systems and additional sensors. Every measurement is retained with millisecond accuracy - whether vibration, temperature or axis position. Continuous recording and loss-free storage allow you to identify patterns, trends and deviations.
A central data backbone receives machine data generated by the connectors and makes it available to the downstream applications in a standardized form.
From a wide range of algorithms, you create monitoring and alerting rules via an intuitive no-code interface. Likewise, you use pipelines to flexibly pass on data to your IT systems.
With over 100 integrated algorithms for data processing and analysis, you will already find many options for easily analyzing machine data. A JavaScript processor provides the flexibility to implement even more complex data processing.
With the open source SDK, you can create your own blocks and interfaces to third-party systems. This allows you to expand the system at any time and adapt it to your own requirements.
The Data Explorer offers extensive visualization options for gaining initial insights into stored raw data. You can display your data in the form of time series diagrams, correlation diagrams, heat maps or tables and thus recognize trends and patterns.
Created visualizations can be summarized in dashboards and displayed directly at store floor level.
Your advantage: A single interface from data acquisition to evaluation - integrated and secure.