Edge Analytics Engineer provides:

Access to Edge Analytics Engineering Application in Mindsphere for one tenant
Usage of a freemium mode to configure an Edge Device to stream up to 5 data points for a repeatable 7 days period

Edge Analytics provides:

Improved asset availability through predictive maintenance.
Use of preconfigured KPIs as well as intuitive creation of customized workflows for KPI calculation
Data preprocessing at the edge level: analysis, aggregation, filtering – and upload of the preprocessed data to MindSphere for display and further analysis

The Edge software can run on MindConnect Nano or any Industrial Edge enabled device:

Acquisition of high dynamic signals from a variety of data sources – with sampling rates up to 46,875 kHz.
Local data buffering in memory of the Edge Device for analysis and aggregation
Vibration analysis with a highly scalable system.
Operating state detection with Trigger Rules
Usage of out of the box calculations for different categories
Vibration KPIs: RMS, Peak-Peak, Zero-Peak, Crest Factor
Vibration Frequency/Order Spectra: Spectrum Acceleration, Spectrum Acceleration Envelope, Spectrum Velocity
General data statistics: Minimum, Maximum, Average, Peak-Peak, Rate of change (Dynamic)
Range Check: Minimum Extent, Maximum Extent
Periodic Data Upload
Event Based Data Upload
Connectivity: Condition Monitoring Systems (CMS1200), MindConnect for Data Sources (S7 PLCs with Put/Get, OPC UA

Modbus TCP data, Modbus RTU (RS232, RS485, RS422), Rockwell Protocol

Data visualization with the Complex Data Plugin for Operations Insight and Fleetmanager
Data uploaded by Edge Analytics can further be processed with any Mindsphere standard or custom Application (data can be accessed via standard MindSphere APIs)