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sen6 application fields

sen6’s condition monitoring system, enhanced by AI integration, fuels ongoing progress across diverse industrial landscapes and application fields.

Here, you could find some use cases.

Lift sen6 Uses cases Condition monitoring system AI integrated

Lift

The sensor installed in the elevator provides comprehensive monitoring of performance and operational conditions

Device installed on the roof of elevator cabin

USB Type C

Elevator operation time

Number of trips and distances

Abnormal stresses (shocks)

Elevator travel comfort

Abnormal door opening

Environmental conditions

Loading type (People, strollers...)

Localization (exact floor or even intermediate level)

Variations from expected  behavior detected by machine learning algorithms and automatic sending alerts

Warehouse handling sen6 Uses cases Condition monitoring system AI integrated

Warehouse handling

The sensor integrated into the forklift provides comprehensive monitoring of its operational usage, allowing for precise tracking and analysis

Device installed on a cable winding machine

Battery (Power bank 10.000mA.) – autonomy of about 7 days

Forklift operation time

Number of trips

Abnormal stresses (shocks)

Environmental conditions

Mapping of indoor paths (under development);

Localization (outdoor only)

Orientation

Variations from expected  behavior detected by machine   learning algorithms and automatic sending alerts

Cable winding system sen6 Uses cases Condition monitoring system AI integrated

Cable winding system

The sensor embedded within the cable winding system  allowing for thorough observation of its performance and functionality

Device installed on a cable winding machine

Battery (Power bank 10.000mA.) – autonomy of about 7 days

Machine operation time

Number of cycles (single operations);

Abnormal stresses  

Environmental

Variations from expected  behavior detected by machine   learning algorithms and automatic sending alerts

Food processing machine sen6 Uses cases Condition monitoring system AI integrated

Food processing machine

The sensor allows for thorough observation of its performance and functionality

Device installed directly on the surface

USB Type C

Operatring time

Number of detected events (Complete work cycles)

Abnormal stresses (shocks)

Environmental conditions; (Temp, Humidity, VOC)

Variations from expected  behavior detected by machine learning algorithms and automatic sending alerts

Industrial packaging machine sen6 Uses cases empowering industries continuously sen6 Condition monitoring system AI integrated

Industrial packaging machine

The integrated sensor in the industrial packaging machine enables extensive monitoring capabilities

Device installed directly on the surface

USB Type C

Operatring time

Number of detected events (Complete work cycles)

Abnormal stresses (shocks)

Environmental conditions; (Temp, Humidity, VOC)

Variations compared to expected behavior

Generating vibration patterns for Product development  division

Bridge sen6 Uses cases Condition monitoring system AI integrated

Bridge

The bridge’s sensor system enables extensive monitoring capabilities, ensuring thorough observation and analysis

Device installed directly on the surface

Battery + small dedicate photovoltaic panel

Natural vibration of the bridge with regular traffic

Abnormal stresses (shocks)

Environmental conditions; (Temp, Humidity, VOC)

Variations compared to expected behavior

Variations from expected  behavior detected by machine   learning algorithms and automatic sending alerts

Building sen6 Uses cases Condition monitoring system AI integrated

Building

The sensor system integrated within buildings provides comprehensive monitoring capabilities, ensuring robust observation and analysis across various parameters

Device installed on external wall

USB Type C

Number of detected events (Airplane overpasses, cars, or   other significant sources of vibrations)

Abnormal stresses (Strong storms, earthquakes, …)

Environmental conditions; (Temp, Humidity, VOC)

Variations from expected  behavior detected by machine   learning algorithms and automatic sending alerts

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