"Learning flow" is a crucial step for any site utilizing a flow sensor on a smart controller. A Learned Flow program calibrates true flow rate at the station level by running one station at a time & recording measured flow rate for each station. These measurements set a stable foundation for flow deviation alerts & consumptive flow measurement.
In the NLP, Learned Flow programs can be built like a standard program & include any number of stations. During a Learned Flow, the NLP automatically senses when flow has stabilized at a given station, reducing overall learned flow run time & flagging specific flow issues.
Note: A Learned Flow Program must be completed when using low/high deviation flow alarms. It is recommended to Run a Learned Flow Program at least yearly to correctly calibrate expected flow rates. For sites with multiple mainlines, the NLP will allow irrigation during a Learned Flow Program if there are multiple mainlines.
- Navigate to
→ Irrigation Controller → Programs
- Click
- Under Strategy dropdown, select Sequential
- Under Description, enter “Learned Flow Program”
- Click CREATE
- Click STEPS
- Click
- Under Target type dropdown, select All and under Type dropdown, select Learn Flow
- Click Wait completion
to toggle to
- Click CREATE
- Click SAVE
- Click
next to your new learned flow program to run
- Once the Learned Flow Program is complete, go to Stations →
- Under the Station Actions dropdown, select action Apply observed (learned) flow → SAVE.
You can now see the new calibrated flow values as Expected flow. If you disagree with any of the Learned Flow values, manually update Expected flow by editing a station.
For a summary of Flow Rules, how they work & definitions, use this link:
For more information on Flow Rule Alarms & how to react to them, use this link:
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