Siemens Xcelerator: Up to 20 percent in energy savings with Drivetrain Analyzer Cloud thanks to AI-based drive optimization

The Connection Module IOT collects extensive data from the drive train and transmits it to the Drivetrain Analyzer Cloud. There, relevant operating data such as load, electrical power consumption and energy consumption of the drives are continuously calculated and displayed. Drivetrain Analyzer Cloud also helps to save energy by using advanced AI-based analysis algorithms to accurately detect deviations from the optimal operating point, monitor energy consumption, CO2 emissions, and costs, and generate optimization suggestions. Thanks to its data-driven approach, it even precisely calculates the return on investment (ROI) so that future investments can be allocated as accurately as possible. This allows users to take targeted actions to increase energy efficiency: for example, adjusting the engine control, maintenance intervals, and load distribution. Drivetrain Analyzer Cloud also detects when an engine is operating inefficiently and automatically recommends a more efficient alternative. Using Drivetrain Analyzer Cloud can reduce the energy consumption of a drive system by 10 to 20 percent. The cloud-based approach also makes it possible to share results across sites and optimize the efficiency of the entire manufacturing infrastructure. In addition, the Drivetrain Analyzer Cloud insights can be integrated into higher-level energy management systems.