All the relevant data can continue to be used during the subsequent step, commissioning. The guided selection process ensures right from the start that the converters and motors are perfectly matched for every application. A wide range of digital information such as technical data, 2D dimensional drawings and 3D data models of the devices, macros for electrical planning and circuit diagrams for electrical design helps to reduce the amount of work involved, and speeds up both engineering and the preparation of technical documentation. Open interfaces to internal and third-party systems automatically ensure data consistency, as they eliminate the need for the multiple redundant acquisition and matching of data. This in turn further simplifies processes such as control cabinet production.
With its integrated hardware and software solutions, Siemens supports machine builders in their bid to create a digital twin of their application, and to optimize it virtually in model form, allowing faults to be detected and eliminated from an early stage. This saves time and expense when it comes to actual commissioning, as every aspect is engineered to an advanced stage of maturity and ideally configured. Data generated by the machine in operation is gathered and rendered usable in MindSphere, the open, cloud-based IoT operating system from Siemens, with the aid of either Siemens'own MindApps or partner apps. The Fleet Manager used by Easysnap, for instance, supplies an overview of all relevant operating statuses, allowing it to suggest preventive servicing measures at an early stage and so prevent machine standstill. The MindApp Analyze MyDrives also detects any actual servicing requirement in advance by continuously checking energy flows, output volume, speed and frequency. These apps not only enable predictive maintenance to be carried out but also allow any energy saving potential to be determined.