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Tech in services
#SEE18
RWS, IoT & the RWS Datalab
Stijn van Balen
Rijkswaterstaat
IoT @ RWS
● National sensornets
● Dating back decennia
Analyzing Accidents
Making roads safer using
big data
Roads
traffic
accidents
construction
surroundings
maintance
weather
images
Data
~ 30 datasets
~ 400 variables
Report to database
Van beeld naar informatie
• What would happen if traffic intensity would increase 10%
Voor Na
gem. aantal ongevallen
per hectopunt:
1.57
gem. aantal...
Faster reponse times
Vital Assets
Accelerating maintenance
using smart monitoring
Analysis of surface layers
● 32 different systems
● ~ 40 DVD’s of data
Result:
● Trained classifier performs better than e...
Current status
ODS-koppeling
ODS: Bernhardsluizen, Beatrixsluizen, Irenesluizen,
Volkerak, Gemaal bij Eefde
Data collection
ODS-koppeling
Tech in services
#SEE18
RWS, IoT & the RWS Datalab
Stijn van Balen
Rijkswaterstaat
stijn.van.balen@rws.nl
www.rijkswaterst...
Data driven success, throughout the chain - Stijn van Balen (Rijkswaterstaat) - SEE 2018
Data driven success, throughout the chain - Stijn van Balen (Rijkswaterstaat) - SEE 2018
Data driven success, throughout the chain - Stijn van Balen (Rijkswaterstaat) - SEE 2018
Data driven success, throughout the chain - Stijn van Balen (Rijkswaterstaat) - SEE 2018
Data driven success, throughout the chain - Stijn van Balen (Rijkswaterstaat) - SEE 2018
Data driven success, throughout the chain - Stijn van Balen (Rijkswaterstaat) - SEE 2018
Data driven success, throughout the chain - Stijn van Balen (Rijkswaterstaat) - SEE 2018
Data driven success, throughout the chain - Stijn van Balen (Rijkswaterstaat) - SEE 2018
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Data driven success, throughout the chain - Stijn van Balen (Rijkswaterstaat) - SEE 2018

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Big Data is not a new phenomenon for Rijkswaterstaat. Long before the Internet of Things (IoT) become popular, Rijkswaterstaat used data from sensors from in and around highways, bridges, waterways and water systems.

Stijn van Balen sees big data as a necessity and a means to improve collaboration with other parties. With the rapidly increasing possibilities of AI comes the realization that big data doesn’t show more than what we choose to measure. Machine Learning only makes connections (or the lack thereof) in places where we choose to look. Sharing data between organizations as well as sharing creative approaches and innovative solutions is necessary for data driven success.

With this knowledge, Rijkswaterstaat looks at the suppliers they use for its main processes. In what ways can data help them perform better? Do they know the effect of their behaviour on the Dutch traffic jams, for example? Stijn van Balen tells you all about the successes, learned lessons in this discipline and his plans for the nearby future. An inspirational session that brings you ideas to work with!

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Data driven success, throughout the chain - Stijn van Balen (Rijkswaterstaat) - SEE 2018

  1. 1. Tech in services #SEE18 RWS, IoT & the RWS Datalab Stijn van Balen Rijkswaterstaat
  2. 2. IoT @ RWS ● National sensornets ● Dating back decennia
  3. 3. Analyzing Accidents Making roads safer using big data
  4. 4. Roads traffic accidents construction surroundings maintance weather images Data ~ 30 datasets ~ 400 variables
  5. 5. Report to database
  6. 6. Van beeld naar informatie
  7. 7. • What would happen if traffic intensity would increase 10% Voor Na gem. aantal ongevallen per hectopunt: 1.57 gem. aantal ongevallen per hectopunt: 1.18 Data-driven scenario’s
  8. 8. Faster reponse times
  9. 9. Vital Assets Accelerating maintenance using smart monitoring
  10. 10. Analysis of surface layers ● 32 different systems ● ~ 40 DVD’s of data Result: ● Trained classifier performs better than expert generated rule base
  11. 11. Current status ODS-koppeling ODS: Bernhardsluizen, Beatrixsluizen, Irenesluizen, Volkerak, Gemaal bij Eefde
  12. 12. Data collection ODS-koppeling
  13. 13. Tech in services #SEE18 RWS, IoT & the RWS Datalab Stijn van Balen Rijkswaterstaat stijn.van.balen@rws.nl www.rijkswaterstaat.nl stijnvanbalen

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