"Iot on the field: making smart environments in everyday experience"
Transcript of "Iot on the field: making smart environments in everyday experience"
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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: [email protected] www.csp.it
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Thanks for your attention Paolo Mollo [email protected]