Cleaning - Siemens SITRANS SCM IQ Operating Instructions Manual

Digitalization smart condition monitoring with iiot sensors
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Service and maintenance

9.3 Cleaning

1. Stop anomaly detection models of the respective SITRANS MS200.
2. Change assignment to MindSphere asset of SITRANS MS200 in SITRANS SCM IQ by clicking
on "Device configuration >
3. Delete machine learning models based on old data from asset (if existing) by clicking on
"Sensor data modelling" > click on your sensor > "See details".
4. Train new anomaly detection model model only based on new data.
Moving SITRANS MS200 to another machine (different MindSphere asset, different SITRANS CC220)
Note
In this scenario the already used SITRANS MS200 is utilized to monitor a different physical asset.
1. Stop anomaly detection models of the respective SITRANS MS200.
2. Reposition SITRANS MS200.
3. Make sure SITRANS MS200 is powered up.
4. Reset SITRANS MS200.
Resetting SITRANS MS200 (Page 51)
5. Change assignment to gateway and MindSphere asset of SITRANS MS200 in SITRANS SCM IQ
by clicking on "Device configuration >
6. Delete anomaly detection models based on old data from asset (if existing) by clicking on
"Sensor data modelling" > click on your sensor > "See details".
7. Train new anomaly detection model only based on new data.
9.3
Cleaning
Cleaning the enclosure
• Clean the outside of the enclosure with the inscriptions using a cloth moistened with water
or a mild detergent.
• Do not use any aggressive cleansing agents or solvents, e.g. acetone. Plastic parts could be
damaged. The inscriptions could become unreadable.
NOTICE
Transport with fitted battery
If the battery is still present in the device when transporting, it could become loose as a result
of vibrations and cause damage within the device.
• Remove the batteries before returning the device.
• Dispose of the batteries according to regulations or include them separately in the return
64
consignment.
> Configure sensor".
> Configure sensor".
Operating Instructions, 08/2021, A5E50573389-AA
Smart Condition Monitoring with IIoT Sensors

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