Input Processors

8min

The Analytics module makes use of built-in Input processors to retrieve data from a topic, database, or generator. 
The following describes the input processors that are currently available.

Database Batch Input Processors
Database Batch Input Overview
Generate events by periodically polling specified DB measurements.
Filtering:
You could add filtering for queries.
List of fields depends on database and measurement, but for device data, standard filters are: datatype, device_id, is_device_status, register_id, success, tag, topic, value.
Examples:
Filter by tag: "tag" = 'tag1'
Filter by tag and success: "tag" = 'tag1' AND "success" = 1
Database Batch Input Parameters
Parameters
Details
Database
Select the name of the database from which data will be retrieved.
Filter
Specify the SQL filter for the WHERE part of the query to filter the data from the database.
Metric Name
Name of the metric for TimeSeriesDB polling.
Period Secs
Set the polling interval in seconds for retrieving data from the database.
Typed
Define the data typed policy for processing the retrieved data.
Database Batch Input parameters
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DataHub Subscribe Processors
DataHub Subscribe Overview
Generate events from specified DataHub topic and attach to output.
DataHub Subscribe Parameters
Parameters
Details
Format
Choose the format of the data, with possible values of json or fb (flat buffer).
Topic
Select the specific device and tag from which data will be collected.
Ignore Failed Data (Manufacturing  Connect Edge version 3.11.0 and later)
Select to ignore data with the output success=false. 
Ignore Null Value (Manufacturing  Connect Edge version 3.11.0 and later)
Select to ignore data with the output value=null.
DataHub Subscribe parameters
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Generator Processors
Generator Overview
Simple generator for testing, use t as the variable.
Generator Parameters
Parameters
Details
Amplitude Multiplier
Specify the amplitude multiplier for the generated signal.
Formula
Choose the supported math functions for generating the signal, such as sin, cos, tan, power, sqrt, log, exp, or abs.
Generator Type
User defined signal generation or pre-defined generation.
Periodicity
Define the periodicity of the signal in seconds.
Strength
Specify the strength of the simulated wave approximation, with the maximum value being 10.
Timer Interval
Set the timer in milliseconds. If no event occurs, this timer is used to keep displaying the output continually. Enter zero to disable the timer.
Generator parameters
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Parameters	Details
Database	Select the name of the database from which data will be retrieved.
Filter	Specify the SQL filter for the WHERE part of the query to filter the data from the database.
Metric Name	Name of the metric for TimeSeriesDB polling.
Period Secs	Set the polling interval in seconds for retrieving data from the database.
Typed	Define the data typed policy for processing the retrieved data.

Parameters	Details
Format	Choose the format of the data, with possible values of json or fb (flat buffer).
Topic	Select the specific device and tag from which data will be collected.
Ignore Failed Data (Manufacturing Connect Edge version 3.11.0 and later)	Select to ignore data with the output success=false.
Ignore Null Value (Manufacturing Connect Edge version 3.11.0 and later)	Select to ignore data with the output value=null.

Parameters	Details
Amplitude Multiplier	Specify the amplitude multiplier for the generated signal.
Formula	Choose the supported math functions for generating the signal, such as sin, cos, tan, power, sqrt, log, exp, or abs.
Generator Type	User defined signal generation or pre-defined generation.
Periodicity	Define the periodicity of the signal in seconds.
Strength	Specify the strength of the simulated wave approximation, with the maximum value being 10.
Timer Interval	Set the timer in milliseconds. If no event occurs, this timer is used to keep displaying the output continually. Enter zero to disable the timer.

Updated 08 Aug 2024

Machine Learning Anomaly Detection

Output Processors