Presentation by Adrian Arroyo Perez Developer, Atos FIWARE Global Summit 21-22 May 2019 - Genoa, Italy

1. Using ML/AI techniques with FIWARE and
connected IoT Devices
Clara Pezuela
clara.pezuela@atos.net
IoE Lab: Adrián Arroyo, Daniel Calvo, David Gómez, José Gato
adrian.arroyo@atos.net
@arroyadr

2. Introduction
1

3. FIWARE AI
2
• Context data management
• Simple data access
• Open standard
Source: Hackernoon blogSource: Fiware official website

4. IoT AI Engine overview
3

5. 4
Edge infrastructure
Edge sensors & controllers
Cloud
• Data source
• Connected systems
• Data processing
• AI models execution
• Historical data record
• AI models training
NGSIv2 compliant
Smartservices

6. Functionalities of IoT AI Engine
5
• Dynamic training
• Data periodically extracted from Elasticsearch
• Neural Networks are (re-)trained in the cloud
• Models in Elasticsearch
• Updated models’ weights are saved in the cloud
• Weights are deployed in the edge models
• Smart services
• Simple REST API to access models for
predictions
Data
collection
Model (re-)
trainning
Model
deployment

7. Deployed instance overview: Architecture + IoT
Agents + sensors
6

8. 7
Edge sensors & controllers
JSON IoT Agent LoRaWAN IoT Agent
Temperature
Humidity
TemperatureTemperature
Pressure

9. 8
STH Comet
Orion Context Broker
JSON IoT Agent LoRaWAN IoT Agent
Edge infrastructure
NGSIv2 compliant

10. 9
NGSIv2 compliant
Edge infrastructure
Cloud
STACK

11. Outcome
10

12. Historical data
11

13. Training loss
12
Loss over epoch

14. Predictions
13
Predictions over the training data Future temperature forecast

15. Some Use Cases: Synchronicity + SerIoT
14

16. 15
Large Scale Pilots for SmartCities (8 cities involved)
• Synchronicity Framework
• Based on OASC principles
• Minimum interoperability points (south/north layers)
• NGSI interfaces for interoperability points
• Reference Architecture based on FIWARE (but you
build your own)
• Atomic Services concept
• 1-Single functionality services
• Re-usable Replicable in any city providing
Synchronicity Framework
• Consume data through this Framework (NGSI data
models and interfaces)
• Easy to use, install and deploy (Docker)
• AI/ML forecaster/trainer Atomic services
• Mainly used for smart parking in Santander
• Others: noise, traffic..
https://synchronicity-iot.eu/

17. 16
• SerIoT:
• Optimize the information security in
IoT platforms and networks in a
holistic, cross-layered manner
• Offer a secure SerIoT platform that
can be used to implement secure IoT
platforms and networks anywhere
• ATOS role:
• Develop a flexible IoT sensor hub platform to
support the interconnection of IoT devices
through multiple communication protocols
• Provide security mechanisms executed on
the edge (the hub)
www.seriot-project.eu

18. Thank you!
http://fiware.org
Follow @FIWARE on Twitter
ATOS Research & Innovation
Clara Pezuela
clara.pezuela@atos.net
Adrián Arroyo Pérez
adrian.arroyo@atos.net