ENTOMATIC: IoT aplicat al món rural
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Transcript of ENTOMATIC: IoT aplicat al món rural
IOT Aplicat al món rural
XX Trobada de l’Anella Científica
Albert BelBarcelona, 9 de juny de 2016
The third Industrial Revolution
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1st: 1800s Industrial Revolution2nd: 1990 The World Wide Web (www)
•1 billion connected devices3rd: 2000 Mobile Internet
• From 2 to 6 billion devices4th: 2020 The Internet of Things (Everything)
• End of 2015: 13,4 billion connected devices• Prediction: in 2020 38.5 billion devices [1]
[1] Source Juniper Research, Technical Report (2015)http://www.juniperresearch.com/press/press-releases/iot-connected-devices-to-triple-to-38-bn-by-2020
Why now?
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• Progress in technology makes it possible• Miniaturization• Low cost
• Saturation of human-based markets• Opportunity to connect lots of devices
• Huge market opportunity• Potential
• Improve existing and create new business• Enhance processes (efficiency)• Boost well-being• Create new jobs
What is IoT about?
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Things
People
Connectivity
Privacy and Security
Interoperability
Big Data
Business
Well-being
Added Value
Energy efficiencyTelemetry
http://www.gereports.com/new_industrial_internet_service_ technologies_from_ge_could_eliminate_150_billion_in_waste/
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Key IoT Verticals
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BANKING
WEARABLES
FUTURE DRIVING
BANKINGRETAIL AND VENDING
SMART GRID
PUBLIC SAFETY
SMART RURAL
CONNECTED HOMES
SMART CITIES
LOGISTICS
INDUSTRY
HEALTH CARE
Key challenges ahead
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• Lack of experience in M2M systems• Implementation costs / risks• Maintenance of M2M Solutions• Lack of standards and common legal framework• Interoperability between different technologies• Need to educate customers• Security and Privacy risks• CIA: Confidentiality, Integrity, Availability
Key challenges ahead
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• Complexity of Technical Solutions • Security and Privacy• Data Policies (Big Data)• From Data to Wisdom• Diversity of solutions (fragmented market)• Business models still to be defined (techno-economics)
• Most IoT products are created by start-ups today • Talent will be needed • Social acceptance (job transformation)
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NOVEL AUTOMATIC AND STAND-ALONE INTEGRATED PEST MANAGEMENT TOOL FOR
REMOTE COUNT AND BIOACUSTIC IDENTIFICATION OF THE OLIVE FRUIT FLY
(BACTROCERA OLEAE) IN THE FIELD
THIS PROJECT HAS RECEIVED FUNDING FROM THE EUROPEAN UNION’S SEVENTHFRAMEWORK PROGRAMME FOR RESEARCH, TECHNOLOGICAL DEVELOPMENT ANDDEMONSTRATIONUNDERGRANTAGREEMENTNO605073
The Project
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ENTOMATIC addresses a major problem faced by EU Associations of Olive growing SMEs: the Olive fruit fly (Bactrocera oleae). This insect pest causes yearly economical losses estimated to be almost €600/ha. ENTOMATIC aims to develop a novel stand-alone field monitoring system comprising: a fully autonomous trap with integrated insect bioacoustic recognition embedded in a wireless sensor network and supported by a spatial decision support system.
The ability to quantify and make a precise control of Olive fly populations in a cost-effective way, has been a long desired goal in the Olive sector. The potential offered by ENTOMATIC has SME-AGs and their associated SMEs keen on its development. The expected benefits are the reduction of damage to olive fruit and oil production and to promote the sustainable use of pesticides
Via ENTOMATIC, olive producers will be able to track pest population and geographical status and receive advice on precision pesticide application.
The Consortium
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SMEs
SME-AGs
RTD Performers
Concept & Objectives
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The ENTOMATIC system aims to offer EU Olive SME-AGs an advanced IPM system for Bactrocera oleae, based on an innovative trap capable of automatically counting each insect trapped, identifying the species based on bioacoustic analysis and send the data wirelessly. Our aim is to develop an easily accessible system, which enables automatic and cost-effective IPM for Bactrocera oleae for all end users.
Concept & Objectives
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Concept & Objectives
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The ENTOMATIC trap units are easily installed in olive trees by the end-u s e r s . A c c o rd i n g t o modern IPM procedures for the deployment of Olive fruit fly traps, for small holdings and in field of uneven topography a density of 2-4 traps/ha will be used.
TRA
P
Concept & Objectives
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The ENTOMATIC trap units are easily installed in olive trees by the end-u s e r s . A c c o rd i n g t o modern IPM procedures for the deployment of Olive fruit fly traps, for small holdings and in field of uneven topography a density of 2-4 traps/ha will be used.
TRA
P
Within the same field the traps form a low-power mesh network, capable of wirelessly communicate between each other to finally send the collected data to the ENTOMATIC Gateway. This gateway, equipped with a meteorological station, transmits the field data to the ENTOMATIC Monitoring & Management Central
WSN
Concept & Objectives
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The ENTOMATIC trap units are easily installed in olive trees by the end-u s e r s . A c c o rd i n g t o modern IPM procedures for the deployment of Olive fruit fly traps, for small holdings and in field of uneven topography a density of 2-4 traps/ha will be used.
TRA
P
Within the same field the traps form a low-power mesh network, capable of wirelessly communicate between each other to finally send the collected data to the ENTOMATIC Gateway. This gateway, equipped with a meteorological station, transmits the field data to the ENTOMATIC Monitoring & Management Central
WSN
This central is hosted by a Cloud Provider, which make s t h e co l l e c t ed processed data available on internet. The end-users can use the on-line platform as an easy to access the IPM tool, using just a common laptop, a smart-phone or a tablet PC.
IPM
System Diagram
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Database
IPMSoftware
WebMap
Server
PC
PC
Mobile
Phone
Tablet
ONLINEACCESS
Web-Access
DataReceiver
Server
OFFLINEACCESS
Stand-AloneAplication
Gateway
Traps+Wireless
modules
Internet
Olivetree
G
P
R
S,G
SM
,
Sa
te
llite
-In
te
rn
e
t
USB,
RS-232
IEEE802.15.4(Zigbee),
IEEE802.11(WLAN)
ENTOMATICCloudArchitecture
Monitoring & Management Central
GIS (Geographic Information System)
GUI (Graphical User Interface)
IPMSOFTWARE
(IntegratedPestManagementSoftware)
Regional & national authorities
Organizations from a specific region
Single SME-AG
LEVELSOFDATAACCESS
How does the automatic trap work?
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Flies (males and females), attracted by the combination of baits and lures, seek an entrance into the trap, and are detected by a photointerrupter. Since the fly may have erratic movements or even leave the trap, the count is only processed when it passes by the second photo-interruptor. As soon as this happens, the Bioacoustic Identification system starts recording the audio signals produced by the fly.
The digital signal processing at the Gateway will identify if the species entering is Bactrocera olea or not. The fly will not return where it came from, since it will be lured to the pheromone bait and by the sunlight or to the liquid food lure where it will eventually drown and die. All the electronics (signal processing, communications, power, etc.) are placed at the bottom part of the trap. The data collected as well as the position of the trap and weather data will be transmitted from the Gateway, feeding the management central software.
Network general requirements
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•Operative life of at least 5 years•Data communication framework based on:
•End-to-end reliability•Expected network lifetime •Existing infrastructure
•Daily and accurate acquisition of data from traps•Identification and recognition of flies performed individually in
each trap or in a centralized way in the gateway?•Compatibility with EU directives:
•Low Voltage Directive (LVD) 2006/95/EC•Electromagnetic Compatibility (EMC) 2004/108/EC
Network communication protocols
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•Design of communication protocols between…•The traps and the gateway•The gateway and the data receiver server
• …will take into account:•Frequency of gathering data•Sending commands•Updating information•Trap resources (battery, CPU, memory, etc.)•Gateway resources (battery, CPU, memory, etc.)
•Design of Self-Management Mechanisms to adapt the network to changes in the environment or in the topology
•Design of Self-Diagnostic Mechanisms to monitor the network operation and the data gathered
Network communication protocols
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•Central node called Gateway (GW) with two network interfaces (868 MHz radio and cellular) as well as enhanced battery, memory, and processing capabilites
•Sensing nodes distributed over a ring structure, depending on communication reachability
•Possibility of including enhanced STAs (Relay STAs) to extend the network coverage to far away nodes
GW
Area1Area2
Area3
N15
N3
N2
N5
N6
N7
N8
N11
N13
N14
N10
N4
N1
N12
EXAMPLE OF NETWORK
TOPOLOGY
Relay STA
N9
N18
N17
N16
~ 1 km.
AreaR
Trap#1
Gateway
WSN
Network communication protocols
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Trap#1
Gateway
By default, Trap #1 tries to communicate directly with the gateway
WSN
Network communication protocols
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Trap#1
Gateway
By default, Trap #1 tries to communicate directly with the gateway
Trap#112/03/201
523:59
2Flies 18.56ºC
WSN
Network communication protocols
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Trap#1
Gateway
But it is not always possible because of…
Trap#112/03/201
523:59
2Flies 18.56ºCX
WSN
Network communication protocols
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Trap#1
Gateway
But it is not always possible because of…
1. Lack of coverage
Trap#112/03/201
523:59
2Flies 18.56ºCX
WSN
Network communication protocols
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Trap#1
Gateway
But it is not always possible because of…
1. Lack of coverage2. Not enough power
transmission
Trap#112/03/201
523:59
2Flies 18.56ºCX
WSN
Network communication protocols
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Trap#1
Gateway
But it is not always possible because of…
1. Lack of coverage2. Not enough power
transmission3. Channel problems
Trap#112/03/201
523:59
2Flies 18.56ºCX
WSN
Network communication protocols
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Trap#1
Gateway
But it is not always possible because of…
1. Lack of coverage2. Not enough power
transmission3. Channel problems
So we need a solution…
Trap#112/03/201
523:59
2Flies 18.56ºCX
WSN
Network communication protocols
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Trap#1
Trap#2
Trap#3
Trap#4
Trap#6
Trap#5
Trap#7
Trap#8
Trap#9
Gateway
The solution is to design a mesh network , where all nodes cooperate in the distribution of data
WSN
Network communication protocols
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Network communication protocols
Trap#1
Trap#4
Trap#7
Gateway
Advantages1. Coverage extension The network coverage gets
bigger as more nodes are added
WSN
Network communication protocols
Trap#1
Trap#4
Trap#7
Gateway
Advantages1. Coverage extension The network coverage gets
bigger as more nodes are added
Trap#1CoverageWSN
Network communication protocols
Trap#1
Trap#4
Trap#7
Gateway
Advantages1. Coverage extension The network coverage gets
bigger as more nodes are added
Trap#1Coverage
Trap#4Coverage
WSN
Network communication protocols
Trap#1
Trap#4
Trap#7
Gateway
Advantages1. Coverage extension The network coverage gets
bigger as more nodes are added
Trap#1Coverage
Trap#4Coverage
Trap#7Coverage
WSN
Network communication protocols
Trap#1
Trap#4
Trap#7
Gateway
Advantages1. Coverage extension The network coverage gets
bigger as more nodes are added
Trap#1Coverage
Trap#4Coverage
Trap#7Coverage
GatewayCoverage
WSN
Network communication protocols
Trap#1
Trap#4
Trap#7
Gateway
Advantages1. Coverage extension The network coverage gets
bigger as more nodes are added
Trap#1Coverage
Trap#4Coverage
Trap#7Coverage
GatewayCoverage
Anyothernodewithintherangecoveragecanjointhenetwork
Trap#6
Trap#5
WSN
Network communication protocols
Trap#1
Trap#2
Trap#3
Trap#4
Trap#6
Trap#5
Trap#7
Trap#8
Trap#9
Gateway
Advantages2. Self-healing Ifthesignalsareblockedor
anynodefails,anotherwilltakeitsplace
Defaultdatapath
WSN
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Network communication protocols
Trap#1
Trap#2
Trap#3
Trap#4
Trap#6
Trap#5
Trap#7
Trap#8
Trap#9
Gateway
Advantages2. Self-healing Ifthesignalsareblockedor
anynodefails,anotherwilltakeitsplace
Defaultdatapath
WSN
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Network communication protocols
Trap#1
Trap#2
Trap#3
Trap#4
Trap#6
Trap#5
Trap#7
Trap#8
Trap#9
Gateway
Advantages2. Self-healing Ifthesignalsareblockedor
anynodefails,anotherwilltakeitsplace
Defaultdatapath
WSN
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Network communication protocols
Trap#1
Trap#2
Trap#3
Trap#4
Trap#6
Trap#5
Trap#7
Trap#8
Trap#9
Gateway
Advantages2. Self-healing Ifthesignalsareblockedor
anynodefails,anotherwilltakeitsplace
Defaultdatapath
WSN
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Network communication protocols
Trap#1
Trap#2
Trap#3
Trap#4
Trap#6
Trap#5
Trap#7
Trap#8
Trap#9
Gateway
Advantages2. Self-healing Ifthesignalsareblockedor
anynodefails,anotherwilltakeitsplace
Defaultdatapath
WSN
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Network communication protocols
Trap#1
Trap#2
Trap#3
Trap#4
Trap#6
Trap#5
Trap#7
Trap#8
Trap#9
Gateway
Advantages2. Self-healing Ifthesignalsareblockedor
anynodefails,anotherwilltakeitsplace
DefaultdatapathX
WSN
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Network communication protocols
Trap#1
Trap#2
Trap#3
Trap#4
Trap#6
Trap#5
Trap#7
Trap#8
Trap#9
Gateway
Advantages2. Self-healing Ifthesignalsareblockedor
anynodefails,anotherwilltakeitsplace
DefaultdatapathX
WSN
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Network communication protocols
Trap#1
Trap#2
Trap#3
Trap#4
Trap#6
Trap#5
Trap#7
Trap#8
Trap#9
Gateway
Advantages2. Self-healing Ifthesignalsareblockedor
anynodefails,anotherwilltakeitsplace
Defaultdatapath
AlternaQvedatapath
X
WSN
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Network communication protocols
Trap#1
Trap#2
Trap#3
Trap#4
Trap#6
Trap#5
Trap#7
Trap#8
Trap#9
Gateway
Advantages2. Self-healing Ifthesignalsareblockedor
anynodefails,anotherwilltakeitsplace
Defaultdatapath
AlternaQvedatapath
X
WSN
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Network communication protocols
Trap#1
Trap#2
Trap#3
Trap#4
Trap#6
Trap#5
Trap#7
Trap#8
Trap#9
Gateway
Advantages2. Self-healing Ifthesignalsareblockedor
anynodefails,anotherwilltakeitsplace
Defaultdatapath
AlternaQvedatapath
WSN
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Gateway
Advantages3. Scalability Noinfrastructurerequired
toexpandormodifythenetwork
WSN
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Network communication protocols
Trap#7
Trap#9
Gateway
Advantages3. Scalability Noinfrastructurerequired
toexpandormodifythenetwork
WSN
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Network communication protocols
Trap#7
Trap#9
Gateway
Advantages3. Scalability Noinfrastructurerequired
toexpandormodifythenetwork
1-Hop
WSN
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Network communication protocols
Trap#4
Trap#6
Trap#5
Trap#7
Trap#8
Trap#9
Gateway
Advantages3. Scalability Noinfrastructurerequired
toexpandormodifythenetwork
1-Hop
WSN
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Network communication protocols
Trap#4
Trap#6
Trap#5
Trap#7
Trap#8
Trap#9
Gateway
Advantages3. Scalability Noinfrastructurerequired
toexpandormodifythenetwork
1-Hop2-Hops
WSN
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Network communication protocols
Trap#1
Trap#2
Trap#3
Trap#4
Trap#6
Trap#5
Trap#7
Trap#8
Trap#9
Gateway
Advantages3. Scalability Noinfrastructurerequired
toexpandormodifythenetwork
1-Hop2-Hops
WSN
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Network communication protocols
Trap#1
Trap#2
Trap#3
Trap#4
Trap#6
Trap#5
Trap#7
Trap#8
Trap#9
Gateway
Advantages3. Scalability Noinfrastructurerequired
toexpandormodifythenetwork
1-Hop2-Hops
3-Hops
WSN
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Network communication protocols
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IPM toolAn SDSS usually consists out of three main components: (1) a database management system such as a GIS, (2) a set of analytic (modelling) components processing input data and (3) a graphical user interface which provides the user with a decision making environment.
The use and analysis of large multi-criteria datasets is often hampered due to their complexity. Classification methods can help to overcome this issue. Amongst many classification algorithms, decision trees have proven to be efficient tools for multi-criteria data processing. Therefore, we opt to implement a decision tree into the Olive fruit fly SDSS. Via the integrated ENTOMATIC system, linking several state of the art systems (traps, WSN, SSDS), olive producers will be able to track pest population and geographical status and receive advice on precision pesticide applications. The objective of the Olive fly SDSS is to create maps of spraying recommendations on which the coordinators will base their final control decisions.
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For more information....
entomatic.upf.edu cordis.europa.eu/project/rcn/191351_en.html
[email protected] www.twitter.com/entomatic_
Thank you for your attention