A Trigger is defined on a data object and can be set to a specific condition. Once the condition has been met, the data within a time window frame (called Trigger Event Window) will be forwarded. When no triggers are defined all data is forwarded directly as soon as it is monitored.
Trigger Event Window
Time period before and after a trigger event has been fired. When triggers are defined, only data within the event windows is monitored. All data that did not fire a trigger or is outside a trigger event window is ignored: it will not appear on plots and it will not be saved to a file when Recording.
Trigger Configuration
Use the Pre-Trigger Time and Post-Trigger Time fields to define the size of the trigger event window.
Switch between triggered and non-triggered mode using the Trigger On/Off button.
Enter the trigger definitions in the definition table, using the format described below. A validation indicator next to the data shows if the entered trigger is valid. To remove a trigger from the table, enter an empty string.
Trigger Definition Format
(data_object_id) - trigger on any change in the data object value
(data_object_id) < | > (trigger level) - trigger on rising (>) or falling (<) slope
Examples
002.6041h.00h – trigger on any change in the value of the specified data object
001.60ffh.00h < 200 – trigger when the value of the specified data object drops below 200
001.58ffh.00h > 100 – trigger when the value of the specified data object rises above 200
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Notice Even when using a Scaling factor, the trigger always works on the raw data value, not on the scaled result. |
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Notice You can use triggers as a post-processing and data analysis tool for Recorded Data. Set up and activate the triggers before opening the .csv file. After modifying the trigger settings, the recording data must be re-loaded using the Reload toolbar button. |
