TwinCAT solutions for IoT and Industrie 4.0
Beckhoff provides the foundational technologies and tools needed today to implement Industrie 4.0 concepts and Internet of Things (IoT) connectivity, all via PC-based control. TwinCAT engineering and control software packages are available for the creation of applications such as big data, pattern recognition as well as condition or power monitoring, in addition to traditional control tasks – which can sustainably increase production and engineering efficiency as a result. New software libraries are now available for advanced analytics and communication between controllers and cloud-based services: “TwinCAT Analytics“ saves the process data locally, on the server or in the cloud in synchronization with the machine cycle. All data are recorded and serve as the basis for extensive analyses; this enables new predictive maintenance technologies and minimizes machine downtime. “TwinCAT IoT Communication“ supports common protocols for cloud communication and push messages to smart devices. TwinCAT IoT is quick and easy to configure and, together with an Industrial PC or Embedded PC as the IoT controller, establishes a seamless connection between the Internet of Things and the Internet of Services.
TF3xxx | TwinCAT 3 Measurement Functions
The TwinCAT basic components can be extended by functions for measurement technology.
The TwinCAT 3 Analytics Workbench is a TC3 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.