Internet of Things : Opportunities for NMHS CBS Technical Conference, Guangzhou, 20-21 November 2016 Matteo Dell’Acqua

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

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’

Connected Lock

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

Connected Thermostat

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

Connected Car

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

Automatic Weather Station

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

Experts Discuss Trillions = mille milliard – 1million million 12

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

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

Connected Systems Users Things

Connected Systems IoT Plateform Users Things

Connected Systems IoT Plateform Users Things COMMUNICATION

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

Connected Systems To remotely drive the Things IoT Plateform Users COMMUNICATION

Connected Systems IoT Plateform Users Things COMMUNICATION SERVICES CREATION

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

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

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

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.

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

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

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

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

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

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

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