German software developer Eplan has developed a standardised data specification to simplify the development of control and switchgear equipment in digital twin simulations.
The specification increases the quality of article and device data in Eplan Data Portal, a web service offering product catalogues from numerous component manufacturers. Several thousand data sets – for instance from sister company Rittal, a provider of enclosure systems and IT infrastructure – are already available and additional well-known component manufacturers are working on providing data that adopts the specification. These include ABB, IFM, LAPP, Phoenix Contact, Puls, SEW-Eurodrive, Siemens, Schneider Electric, Wago, Weidmüller and Wieland.
The need for better data is essential when control cabinets or switchgear systems are being designed in 3D. This allows wire lengths to be automatically calculated, or mounting panels processed by machines, all using standardised component data. This data is also the foundation for the digital twin, which is becoming increasingly indispensable in the product life cycle.
Around five hundred connections must be laid for the control technology in an average control cabinet – all with different colours, cross-sections and wire processing. Preparing and wiring all of the connections manually requires an average of four minutes per wire, which takes too long to keep up with the competition.
Modern production methods get prefabricated wires from machines, saving the effort and time required for manually cutting to length and assembly. A digital twin of the control cabinet uses all the components that were selected in engineering, presented with their characteristics in the schematics and subsequently assembled in the control cabinet in 3D. The connection points and designations for the components are already described in the 3D layout. Using this component data, the electrical designer can output the colours, lengths and wiring targets for the connections with a mouse click and transfer them to the processing machine.