TwinCAT 3 Engineering
TwinCAT Analytics meets TwinCAT Vision
Headquarters India
Beckhoff Automation Pvt. Ltd.
+91-20-6706 4800
info@beckhoff.co.in
www.beckhoff.com/hi-in/
TwinCAT Analytics meets TwinCAT Vision
The standard algorithms for the TE3500 TwinCAT 3 Analytics Workbench and TE3520 TwinCAT 3 Analytics Service Tool engineering software products that are available for configuration in Visual Studio can be expanded with additional libraries from the TwinCAT world. This means that the algorithms of the TwinCAT 3 Condition Monitoring, TwinCAT 3 Filter, TwinCAT 3 Power Monitoring, TwinCAT 3 Machine Learning, and TwinCAT 3 Vision libraries can be used extremely easily with just a few clicks.
The TwinCAT Analytics product family offers a complete workflow for data acquisition, storage, analysis and visualization in dashboards.
The TwinCAT 3 Analytics Workbench is a TwinCAT 3 engineering product for the creation of continual data analyses from various spatially distributed machine controllers. The configuration of the workbench is integrated in Microsoft Visual Studio® and serves as the graphic user interface. Many algorithms are available in a toolbox for the configuration of the analysis:
The TwinCAT 3 Analytics Service Tool is used for commissioning the machine and for service engineers. Live and historical data can be retrieved for an analysis via the IoT connection. The analysis is configured in Microsoft Visual Studio® where the user has access to a toolbox of algorithms for implementing the relevant life time, cycle time, envelope or component counter analysis. The outputs of the algorithms can be used as inputs for other algorithms or can be output as a result directly in the graphical editor. Signal paths can be visualized with ease by means of parallel recording with the TwinCAT Scope. Analysis results can be dragged by the user from the analytics configurator and dropped in the charting tool so as to mark the significant positions in the data stream. The interaction between the product components offers advantages in particular for diagnosing machine behavior and can highlight optimization potential. The user’s location is immaterial owing to the IoT technologies used, which means that service technicians can perform system and machine diagnostics from practically any location.