East Valley Water District (EVWD), in conjunction with Syrinix, began a monitoring project in San Bernardino, CA to identify and mitigate regular transients resulting from daily operations, which could be harmful to the network.
The captured pressure data was analyzed using methods such as grouping – or clustering - of transients by their wave shapes and also heatmaps of automatic triangulations.
This analysis resulted in the identification of different transient events and their possible source.
After a deeper investigation done by the water utility, EVWD identified the specific troublesome assets and their failures and worked to replace them.
KPI modelling lets utilities identify and then confirm the effectiveness of operational changes
Shape classification can automatically classify the type of transient and alert by exception for unusual events
Newly detected transient events are run through multiple levels of data analysis to identify and label features in the event data.
