Waternet > Rob van Putten > AI & Dikes
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Transcript of Waternet > Rob van Putten > AI & Dikes
Ice breaker invoegen
And now for something completely different..
== DIKE == LEVEE
Experience from the field
Experience from the field
Safety factor = 0,64 << 1,00
Experience from the field
-5 -4.5
-4 -3.5
-3 -2.5
-2 -1.5
-1 -0.5
0
phreatic sensor
sandlayer 1
deep sandlayer
Experience from the field
Experience from the field
Data preprocessing • Common time grid
constant
Experience from the field
Data preprocessing • Common time grid • Gap filling
-3.5
-3
-2.5
-2
-1.5
-1
-0.5 phreatic sensor
Singular spectrum analysis
Experience from the field
Data preprocessing • Common time grid • Gap filling • Filtering
Experience from the field
Machine learning We know normal behaviour
Experience from the field
Machine learning We do not know abnormal behaviour
Experience from the field
Machine learning
Experience from the field
Machine learning Real dike AI Outlier?
CM
risk? Warning
no, retrain AI yes
yes
Experience from the field
Proven strength
Experience from the field
How to proceed?
Experience from the field
How to proceed?
Experience from the field
Waternet Levee data centre (drones, soildatabases,
pointclouds, sensors, etc.)
DAM (dike / levee automation module)
FEM analysis + sensoring
EWS + proven strength
Ice breaker invoegen THE END
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