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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

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Summary
 CSP: who we are
 What we do with IoT
 IoT Platform
 Geographical Access Network
 Environment and Precision Agriculture
 Smart City
 Conclusions

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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)

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Synergies in the ICT sectors
Internet of Things: technological components

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►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

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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)

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Summary
 CSP: who we are
 What we do with IoT
 IoT Platform
 Geographical Access Network
 Environment and Precision Agriculture
 Smart City
 Conclusions

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CSP and the Internet of Things

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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

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Summary
 CSP: who we are
 What we do with IoT
 IoT Platform
 Geographical Access Network
 Environment and Precision Agriculture
 Smart City
 Conclusions

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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).

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The access network: DMR
M.Te Turu
Cima
Boschin
VHF
HPWNet
Montaldo S.

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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

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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

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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

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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

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SIGEVI: a pervasive IoT approach
Agronomic APP
For Android Tablet
Hystorical
data
On Field
Sensing
Decision Support
System

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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

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Summary
 CSP: who we are
 What we do with IoT
 IoT Platform
 Geographical Access Network
 Environment and Precision Agriculture
 Smart City
 Conclusions

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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

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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.

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EveryAware monitoring equipment
• Low cost sensors
• Different gases sensed(CO,
NO2, VOC, O3) + Temp + RH
• Goal: indirect evaluation of
black carbon

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EveryAware data presentation
NO2 24/9/2102 at12:30
First round of testbed in
Turin

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Mobile Air Quality monitoring: MASP project
Vehicle-to-
Infractructure (V2I)
Communication
protocol
• CO
• CO2
• NO2
• T, H

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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

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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

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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.

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Indoor Air Quality

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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

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Summary
 CSP: who we are
 What we do with IoT
 IoT Platform
 Geographical Access Network
 Environment and Precision Agriculture
 Smart City
 Conclusions

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