Sensor data from the plant is collected and transferred to a digital representation of the machine for analysis. Based on this data, anomalies can be identified, maintenance needs can be predicted, and unplanned downtime can be reduced. This provides companies with a solid data foundation for condition-based and predictive maintenance strategies.

The solution is designed for existing production environments and enables the retrofitting of brownfield facilities. Through this collaboration, Bosch Digital Twin Industries, part of the Bosch Group, and Pepperl+Fuchs, a specialist in industrial sensor technology and explosion protection, are combining their Industrial IoT and digital twin expertise.