1

IoT on the field: making smart environments in

everyday experience

Paolo Mollo, Sensing Application and Devices @ CSP – innovation in ICT

Turin, June 5, 2015, Eurotraining Workshop

2

Summary

CSP: who we are

What we do with IoT

IoT Platform

Geographical Access Network

Environment and Precision Agriculture

Smart City

Conclusions

3

CSP and the applied research map

Users / Community / PA

needs

State –of –the –art technologies

CSP

Territory

Projects and prototypes running on-field

Regional, EU, private

founding

Technology transfer to enterprises (pref. SME)

4

Synergies in the ICT sectors

Internet of Things: technological components

5

►Face Technological issues – Standard development for communication and

interoperability;

– Availability of electromagnetic spectrum and definition of its usage policies;

– Problems arising from the production and disposal of large amounts of electronics devices;

– Supply of new renewable energy sources.

►…and other issues – Industrial opposition to interoperability;

– Privacy constraints and sensitive data processing;

– IT security issues at different levels.

Challenges

6

Enabling technologies Some technologies have a direct impact in the IoT implementation

► Wireless sensor networks;

► Machine-to-Machine protocols;

► Network Technologies (wireless);

► Devices and micro-systems featuring low energy consumption;

► Micro and nano-Energy Harvesting technologies;

► Sensors technologies;

► Localization Systems (indoor);

► ICT Infrastructure of Internet (Big Data)

7

Summary

CSP: who we are

What we do with IoT

IoT Platform

Geographical Access Network

Environment and Precision Agriculture

Smart City

Conclusions

8

CSP and the Internet of Things

9

The Internet of Things Platform

• Distributed Systems with

not-relational DB (NOSQL) • Access both with Graphical User Interface and through M2M • Compatible with heterogeneous sources

IoTNet

An open technology platform for data access and elaboration

Copyright © 2015 CSP Innovazione nelle ICT. All rights reserved 10

www.iotnet.it

11

Summary

CSP: who we are

What we do with IoT

IoT Platform

Geographical Access Network

Environment and Precision Agriculture

Smart City

Conclusions

12

The access network: HPWNet

HPWNet - High Performance Wireless Network:

Creation of a wireless backbone on the metropolitan area of Turin and on the regional territory, for the quick activation of access nodes and recovery points, for further extending and branching the network

HPWNet allows the quick activation of both access nodes and recovery points

(tactical networking).

13

The access network: DMR

M.Te Turu

Cima

Boschin

VHF

HPWNet

Montaldo S.

14

Summary

CSP: who we are

What we do with IoT

IoT Platform

Geographical Access Network

Environment and Precision Agriculture

Smart City

Conclusions

Meteo: Nimbus Project

► Project

realized in cooperation with

the Italian Meteorological

Society. (Luca Mercalli)

► Monitoring of climatic

parameters and webcams for the

conditions estimation of the

glacier at 2850m of altitude

► Data transmitted for 20 minutes

every 2 hours during the day.

http://nimbus.csp.it/ 15

16

Wireless Sensor Networks

Data acquisition from sensors Protocols development Frequencies of 2,4 GHz and 868 MHz

Goals: increase the duration through the energy optimization in three levels: > hardware > Ultra-low power communication protocols > energy-awareness

On the field: Bothanical Garden Project

Wireless Sensors Network composed by prototypal micro-systems developed by CSP for the environmental monitoring of the Botanical Garden of the University of Turin.

Each node could be alimented both through batteries and with energy harvesting systems based on micro-solar panels.

Weather station

18

Vini Veri Project

In the Viniveri project, CSP has developed the

system for monitoring the agri-meteorological

parameters in wineyards in order to avoid phyto-

pathologies outbreak.

moving form

802.15.4

802.11a

The main goal is the reduction of

phytopharmaceuticals use,

switching from a calendar-based

approach to biological/agronomic

control schemes

19

SIGEVI Project

SIGEVI

Management system of wine-growing districts

for programming treatments and crop phases

The project SIGEVI was created to develop, test and implement an innovative Decision Support System (Spatial-DSS) on issues relating to the management of the vineyard taking advantage of the collaboration between three basic components: agronomists, researchers and technologists

20

SIGEVI: a pervasive IoT approach

Agronomic APP

For Android Tablet

Hystorical data

On Field Sensing

Decision Support

System

21

Sigevi: Monitoring System architecture

Wireless Sensor Network:

• RF 868 MHz

• star topology

• Ultra-Low-Power

protocol

• Self-healing and self-

recovery procedures

Temperature

Humidity

PAR

Soil mosture/temperature ( -20 cm, -40 cm)

NDVI

PRI

Sigevi APP: technology at hand

Sigevi: web portal

24

Summary

CSP: who we are

What we do with IoT

IoT Platform

Geographical Access Network

Environment and Precision Agriculture

Smart City

Conclusions

25

Towards smart city: FP7 EU Project Everyaware

• Monitor

objective/subjective

(noise, air quality)

• Increase Citizens

Awareness

• Estimate the

Behavioral Change

• Interact with the local

administrators

Vittorio Loreto

26

EveryAware mobile platform

CSP’s role is to implement the technologies for the environmental data acquisition by developing the embedded sensor box for monitoring and the mobile application.

27

EveryAware monitoring equipment

• Low cost sensors

• Different gases sensed(CO,

NO2, VOC, O3) + Temp + RH

• Goal: indirect evaluation of

black carbon

28

EveryAware data presentation

NO2 24/9/2102 at12:30

First round of testbed in

Turin

29

Mobile Air Quality monitoring: MASP project

Vehicle-to-Infractructure (V2I)

Communication protocol

• CO

• CO2

• NO2

• T, H

30

Outdoor Air Quality monitoring: fixed stations

Outdoor air quality sensore node

Sensed substances:

• Nitrogen Dioxide (NO2)

• Ozone (O3)

• Particulate Matter

(PM 10/2,5/1)

WiFi connection towards IoT

platform

31

Data reliability

START: Extremely precise monitoring station, high costs, very limited

numerosity

GOAL: Reliable data from low-cost sensors, big diffusion and

extensiveness of sensing points

estimate in a realiable way the

error between low-cost sensors and

certified masurement instruments.

where possible, elaborate

calibration coefficients

32

Webcams as virtual sensors

Estimation of the traffic routes and counting of cars through image processing Videocamera used as source of endless information to be deducted through virtual sensors.

33

Indoor Air Quality

34

Haladin’s

HALADIN's measures the levels of VOCs -

Volatile Organic Compounds - and

Formaldehyde and gives an indicative

assessment of the environmental air

quality, through three easy-to-read colored

LEDs:

• Green: the indoor air is clean;

• Yellow: the indoor air shows a first level of

warning;

• Red: the indoor air quality indicators are

above alarm levels.

The data collected by the sensors are sent

to the IoT Platform through a Wi-Fi

connection at regular intervals

35

Summary

CSP: who we are

What we do with IoT

IoT Platform

Geographical Access Network

Environment and Precision Agriculture

Smart City

Conclusions

36

Conclusions

IoT applications have a huge potentiality on the market

No need for high data rates

Need for wide geographical coverage

Care about energy consumption in devices / protocols

CSP innovazione nelle ICT s.c. a r.l. Sede Via Nizza n. 150 – 10126 Torino – Italy (ingresso da Via Alassio, 11/c) Tel +39 011 4815111 Fax +39 011 4815001 E-mail: innovazione@csp.it www.csp.it

37

Thanks for your attention Paolo Mollo paolo.mollo@csp.it