Siemens

Inka Krischke | Inka Krischke,

Smart condition monitoring with IIoT sensors

Siemens is launching Sitrans SCM IQ, a new Industrial Internet of Things (IIoT) solution for smart condition monitoring. It can be used to detect and prevent potential malfunctions at an early stage.

© Siemens

The hardware is based on the wireless, robust Sitrans MS200 multi-sensors for mounting on system components such as pumps, gearboxes, compressors or drives. There they collect vibration and temperature data. Using a Bluetooth connection, this data is transmitted to the Sitrans CC220 industrial gateway and from there encrypted to the cloud, in this case the industrial IoT-as-a-Service solution MindSphere. The Sitrans SCM IQ system from Siemens has an anomaly detection system based on machine learning. It permanently monitors and analyzes all sensor values and detects deviations from the normal operating status at an early stage. Notifications of anomalies are sent by SMS and/or email, depending on the configuration and defined user group. The app can be used to document anomalies in system behavior and pass them on within a specific user group. The system consisting of multi-sensors, gateway and app can be used in all industrial systems with mechanical or rotating system components.

The multi-sensors have a robust industrial design with IP68 protection. Bluetooth communication eliminates the need for cabling, which simplifies installation and commissioning. Power is supplied via replaceable industrial batteries, which ensures a long service life. Secure communication between the multisensor and the cloud is ensured by the industrial gateway, which is suitable for control cabinet installation and has an external Bluetooth antenna. The high sample rate transmission enables accurate and reliable data evaluation. The Sitrans SCM IQ mobile web application graphically displays the status of the monitored systems and components at any time and from anywhere. Sitrans SCM IQ is scalable, meaning that either just one application can be monitored or all the machines in a plant.

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