1. Internet of Things : Opportunities for NMHS
CBS Technical Conference,
Guangzhou, November 2016
Matteo Dell’Acqua

2. Agenda What is a Thing ? A connected world The IoT platform
Benefit example : Weather Horizon
Conclusion

3. What is a Thing ? A physical device
Especially everyday objects, that are readable, recognizable, locatable, addressable, and/or controllable
With a distribution of several thousand copies, or more
Able to connect to a network and exchange data over this network
Embedded with :
sensors (to measure the environment)
And/or actuators (to act on the environment)
Can play a critical role without human intervention
Closely tied to ‘cloud computing’ and ‘big data’

4. Connected Lock

5. Connected Lock THING Physical Device Connected to a network
Sensors and/or Actuators
Volume & Data
Critical

6. Connected Thermostat

7. Connected Thermostat Physical Device Connected to a network
THING
Physical Device
Connected to a network
Sensors and/or Actuators
Volume & Data
Critical

8. Connected Car

9. Connected Car Physical Device Connected to a network
THING
Physical Device
Connected to a network
Sensors and/or Actuators
Volume & Data
Critical

10. Automatic Weather Station

11. Automatic Weather Station
THING
Physical Device
Connected to a network
Sensors and/or Actuators
Volume & Data
Critical

12. Experts Discuss
Trillions = mille milliard – 1million million 12

13. Experts Discuss > 7 Billion 2011
Trillions = mille milliard – 1million million
> 7 Billion
2011 13

14. Experts Discuss 50 Billion > 7 Billion 2011 2020
Trillions = mille milliard – 1million million
> 7 Billion
2011
2020 14

15. Connected Systems
Users
Things

16. Connected Systems
IoT Plateform
Users
Things

17. Connected Systems
IoT Plateform
Users
Things
COMMUNICATION

18. Connected Systems To get information from the objects IoT Plateform
Users
Things
COMMUNICATION

19. Connected Systems To remotely drive the Things IoT Plateform Users
COMMUNICATION

20. Connected Systems IoT Plateform Users Things COMMUNICATION
SERVICES CREATION

21. IoT Plateform Variety of data source
INGESTION
STORAGE
ANALYTICS / ANALYSIS
Plate-forme IoT
GATEWAY
CODING/DECODING
THINGS
Variety of data source
Technologies to exploit, store and analyse data
Tools to visualize and use data
To create value from the data

22. Agenda What is a Thing ? A connected world The IoT platform
Benefit example : Weather Horizon
Conclusion

23. Weather Horizon Use connected vehicules as meteo sensors,
Continental & Météo-France
Use connected vehicules as meteo sensors,
To improve geo-localised forecasts
And develop driver assistance services. 23

24. Météo-France digital strategy
Météo-France met au service des pouvoirs publics et
de la société son expertise unique qui allie science,
Météo-France digital strategy
Crowdsourcing to get information and develop partnership with the users
IoT 8
météorologie, étude du climat et diffusion de l’infor -
mation.

25. Objectives and Opportunities
To support the emergence of connected vehicles, then autonomous
To develop driver assistance services based on real-time and geo- localised meteorological information
The meteorological data can be used in real time by the connected vehicles
To use vehicles sensors as source of new data to improve Météo-France forecast and alerts models
Big Data technologies offer new opportunities to collect and process « massive » data
Vehicle data

26. Weather Horizon Up Stream Vehicle sensor Down Stream User interface
Continental
Météo-France
Up Stream
Vehicle sensor
Down Stream
User interface
External Temperature Pressure Wiper
Fog lights
ABS braking system
Geo-localized forecasts and alerts received in real-time in the vehicle 26

27. Upstream : vehicle data
Weather conditions : temperature, pressure, precipitations through windscreen wipers motion
Road surface status : ABS / ESP
Visibility : lights, fog lamps
In the future air quality information
Exemple de températures relevées par les véhicules équipés pour l’expérimentation

28. Downstream : an optimized alert service
Nowcasting information for the road sector
Geo-localized alert taking into account position and journey
Various risks covered : rain, snow, ice, hail, …
Real time : phenomenon detection at 5, 10, 15 minutes and up to 1 hour
In return
The user can validate the information, in order to improve phenomenon detection
Data received from the vehicle is used to improve the quality of the forecast

29. Technical solution for the 2016 experiment
Large scale experiment : >200 connected vehicles in France
Véhicule
Smartphone Application
Server Continental
Server Météo-France
Small box connected to the diagnostic system of the vehicle
Read data and transmit it via BluetoothTM to the Smartphone
Collect data and visualize it in the user interface
Transfer data to a secure server
Ingest and process data
Supervise the operation of the full system
Alerts and forecasts

30. First results Encouraging results
Satisfactory quality of upstream data
Vehicles temperature sensors : < 1° compared to reference observation
Good detection of negative temperatures associated to ice risks
Good complement to traditional observation
Ex : possibility to get vertical temperature profiles when the journey is in hilly area and improve the position of snow-rain limit

31. Conclusion
NMHSs can benefit from IoT to improve quality of forecasts and to develop new products and services
With IoT the volume and variety of non-traditional observation data will grow and impact the data processing system
Use of the data requires a pragmatic and incremental approach