Regional Forum on Emergent Technologies

Presenter : CHAABANE Ferdaous

ITU Regional Forum on Emergent Technologies Tunis - Tunisia, 23-24 April 2019

Place: Tunis, Tunisia

Date: 23-24 April 2019

LoRaWAN for IoT/AI: Applications in support of Societal Challenges

Outline

- LoRaWAN Technology

- Conclusion

- SAGEMCOM & LoRaWAN

- Applications

o Agricultural applications

o SMART building applications

o Industrial Applications

- IoT/AI/EC

IoT Evolution

3

Production Process => SMART FactorySmart Connected Products

IoT

IoT is big business

IoT/AI

4ITU Regional Forum on Emergent Technologies Tunis - Tunisia, 23-24 April 2019

Data Gatheringand Analytics

Provider of Massive Data

SMART World

Inte

rop

era

bili

ty

IoT is pushing AI to the Edge

5ITU Regional Forum on Emergent Technologies Tunis - Tunisia, 23-24 April 2019

Rate of IoT deployments ↗Edge-based compute and Storage ↗

More efficient End-to-End solutions

Analysis in the cloud => Close to the sensing and actions

LPWAN : LoRaWAN

LoRaWAN :

- Most adopted type of LPWAN- Ubiquitous connectivity in outdoor IoT Apps- Keeping networks structures and management simple

Booming of LPWAN IoT Technology LoRaWANStrong acceleration

Impressive level of adoption

7

LoRa Alliance

A few of the 500 members of the Alliance

The extent of LoRaWAN network coverage

LoRa Alliance- the fastest growing technology alliance,- A non-profit association of more than 500 member companies,- enabling large scale deployment of LPWAN IoT through the

development and promotion of the LoRaWAN open standard.

8

LoRa Network features

9

LoRa Network Architecture

Sagemcom Gateway

Sagemcom devices

Sagemcom LoRa Network Server (LNS)

SagemcomLoRa Client Application

SagemcomGeolocation Solver

Sagemcom => LoRa

10

Sagemcom Software & Technologies is the R&D center for the Group Sagemcom.

Energy & TelecomsIoT R&D center

Directly connected to Solutions responsable

Innovation IoT group : PoC of IoT Solutions

Sagemcom R&D Center

11

IoT ApplicationsLoRaWAN

12

IoT SMART CENTER

IoT SMART CENTER

SMART Lab SMART Datacenter

SMART Parking SMART Meeting Room

SMART VisitorAuthentification

SMART Parking

15

SMART Lab

16

SMART Agriculture

LoRa connected Meteo Station

Digital

AnalogSeries

I2C

Communication type

LoRaWAN™ Network of SAGEMCOM

Hardware Architecture

LoRaWAN

LNS

Communication

http

Devices Application

Node server

REST

LoRa Client

FE : Angular 5

Python server

pymongo

DB

BE

Software Architecture

Centralized network

Dashboard FonctionalitiesAlerts Management Statistics

Data Analytics and Prevision

Dashboard AI Fonctionalities

Error of ± 1° for 24 samples

Measurments Prevision

Prevision Measurements

Prediction of Plant Diseases

22

+ = Prediction of Plant Diseases

+ AI

ML for Plants Disease

23

Training DatabasePlants types

Diseases

24

Plants Disease Prevision Dashboard

25

SMART Building apps

26

SMART Swimming Pool

SMART Swimming Pool LoRaconnected

Water Quality Automatic SystemWeather conditions

Automaticmaintenance and

analysis

Long range Low energy consumption

pH

ORP

Turbidity

TDS

Hardware Architecture

Temperature

T&Hu

UV index

Ultrason

Arduino Nano

Raspberry Pi 0

LoRa Dongle

Chlorine Amount Prevision with AI

Prediction for 70 days Predicted and constant Amount

Volume = 24 m³

Lost Water volume prevision with AI

Lost Water prevision

ForecastSur 2 jours

31

SMART Energy

SMART Building : AI at the Edge

33

Data Acquisition Data Analysis : Model

Model Validation on STM32F7Model conversion & Code Generation

AI at the Edge

AI at the Edge

Global Power Prevision

35

SMART Industry

36

AI for Predictive Maintenance

Machine vibration analysis

37

Data acquisition & Database creation

38

Model : Deep Learning

39

Predictive Maintenance Resuslts

• LoRaWAN is not a promise of a future potential, but is available today all around the globe. It is realizing the potential of the Internet of Things (IoT).

• The IoT is getting smarter by incorporating AI into IoT applications.

• Many use cases at the edge can’t wait for the cloud. They demand insights and decisions at the source, where the data is generated => need of Egde Computing.

40

Conclusion

41

Thank you

ITU Regional Forum on Emergent Technologies Tunis - Tunisia, 23-24 April 2019