An innovation in the field of service is BAUDIS IoT, the predictive maintenance system with comprehensive possibilities from Baumüller. The networked system consists of a broad overview of sensors, a BAUDIS IoT box and software with big data algorithms. The data is recorded via local sensors on the drive. They record the motor state and can thus report bearing damage, for example. The recorded data is distributed via the BAUDIS IoT box. The system can be used independently of the manufacturer of the automation components and the sensors and therefore can easily be retrofitted.
BAUDIS IoT, actually used for predictive maintenance, creates far greater added value through big data analysis. In general, machine and system availability in production is thus maximized through planned maintenance measures for all kinds of electric drive systems. But BAUDIS IoT can do much more than that. The big data analysis used for the servicing can also be used to optimize processes. Since the system provides a warning in cases of need, the monitoring can be used to optimize the rate increases and load limits of the production systems without damaging the systems.
The networking of plants and locations to one evaluation unit also allows for comparisons, which is another added benefit. The long-term collection and evaluation of data allows for the drive specialist to detect and implement optimization potential more effectively. The evaluation always occurs with the latest available algorithms. The system is thus continuously made more intelligent and increases productivity through self-regulating processes in order to avoid production errors.