Analysis package "Event Based Data Upload"

The analysis package “Event Based Data Upload” allows you to upload defined data ranges or data snippets based on events. You can define the events that trigger a data collection. The data is recorded with the defined length and afterwards uploaded to MindSphere. You can select whether the data should be uploaded as files or injected as time series to an asset in the common way. The upload as a file offers a higher sampling rate than with a time series injection for example Vibration raw data. The Analysis Package "Event Based Data Upload" currently supports events of type "Time Based".


It is recommended to use a maximum of one single "Event Based Data Upload" analysis package, with 5 data points and 15.625 kHz sampling rate per data point.
Make sure that all further uploads of the edge device do not exceed the traffic limit of internet connection.


Save or cancel settings

Package name

Input fields for name and description of the analysis

Input field for the settings of the analysis

Context bar with available input data

Data configuration

Parameter of "Event Based Data Upload"

The following table shows the parameters of the "Event Based Data Upload" window:






Add an individual name for the analysis package.


Add an individual description (optional).


Collection Trigger (repeated) [min]

Define the periodic time interval in which the data c is collected.

Collection Duration [s]

Define the length of the data snippets in seconds, which are periodically collected and uploaded.

Context Bar

Data Sources – Selection

The context bar shows all available input data points, which can be added to the configuration. You can assign complete data sources or single data points to the data table via drag-and-drop.


Storage Type

You can select the following storage type:

  • File Upload: Stores the data as files. Provides a higher sampling rate than time series.

Data Storage

Define the target asset, into which the resulting data shall be uploaded to.

Data Table

The data table shows all data points which have been assigned from the context bar and are used as input data for the analysis package.