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

IOT APLICAT AL MÓN RURAL 2Albert Bel

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

http://www.juniper

http://www.juniper

Why now?


• 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?


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/


http://www.gereports.com/new_industrial_internet_service_

http://www.gereports.com/new_industrial_internet_service_

Key IoT Verticals


BANKING

WEARABLES

FUTURE DRIVING

BANKINGRETAIL AND VENDING

SMART GRID

PUBLIC SAFETY

SMART RURAL

CONNECTED HOMES

SMART CITIES

LOGISTICS

INDUSTRY

HEALTH CARE

Key challenges ahead


• 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


• 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)


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


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


SMEs

SME-AGs

RTD Performers

Concept & Objectives


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.



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




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




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


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?


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


•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


•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



•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


IOT APLICAT AL MÓN RURAL Albert Bel 22

Trap#1

Gateway

By default, Trap #1 tries to communicate directly with the gateway

WSN



Trap#1

Gateway

By default, Trap #1 tries to communicate directly with the gateway

Trap#112/03/201

523:59

2Flies 18.56ºC

WSN



Trap#1

Gateway

But it is not always possible because of…

Trap#112/03/201

523:59

2Flies 18.56ºCX

WSN



Trap#1

Gateway


1. Lack of coverage

Trap#112/03/201

523:59

2Flies 18.56ºCX

WSN



Trap#1

Gateway


1. Lack of coverage2. Not enough power

transmission

Trap#112/03/201

523:59

2Flies 18.56ºCX

WSN



Trap#1

Gateway



transmission3. Channel problems

Trap#112/03/201

523:59

2Flies 18.56ºCX

WSN



Trap#1

Gateway



transmission3. Channel problems

So we need a solution…

Trap#112/03/201

523:59

2Flies 18.56ºCX

WSN



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




Trap#1

Trap#4

Trap#7

Gateway

Advantages1. Coverage extension The network coverage gets

bigger as more nodes are added

WSN


Trap#1

Trap#4

Trap#7

Gateway



Trap#1CoverageWSN


Trap#1

Trap#4

Trap#7

Gateway



Trap#1Coverage

Trap#4Coverage

WSN


Trap#1

Trap#4

Trap#7

Gateway



Trap#1Coverage

Trap#4Coverage

Trap#7Coverage

WSN


Trap#1

Trap#4

Trap#7

Gateway



Trap#1Coverage

Trap#4Coverage

Trap#7Coverage

GatewayCoverage

WSN


Trap#1

Trap#4

Trap#7

Gateway



Trap#1Coverage

Trap#4Coverage

Trap#7Coverage

GatewayCoverage

Anyothernodewithintherangecoveragecanjointhenetwork

Trap#6

Trap#5

WSN


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



Trap#1

Trap#2

Trap#3

Trap#4

Trap#6

Trap#5

Trap#7

Trap#8

Trap#9

Gateway



DefaultdatapathX

WSN



Trap#1

Trap#2

Trap#3

Trap#4

Trap#6

Trap#5

Trap#7

Trap#8

Trap#9

Gateway



Defaultdatapath

AlternaQvedatapath

X

WSN



Trap#1

Trap#2

Trap#3

Trap#4

Trap#6

Trap#5

Trap#7

Trap#8

Trap#9

Gateway



Defaultdatapath

AlternaQvedatapath

WSN


Gateway

Advantages3. Scalability Noinfrastructurerequired

toexpandormodifythenetwork

WSN



Trap#7

Trap#9

Gateway



WSN



Trap#7

Trap#9

Gateway



1-Hop

WSN



Trap#4

Trap#6

Trap#5

Trap#7

Trap#8

Trap#9

Gateway



1-Hop

WSN



Trap#4

Trap#6

Trap#5

Trap#7

Trap#8

Trap#9

Gateway



1-Hop2-Hops

WSN



Trap#1

Trap#2

Trap#3

Trap#4

Trap#6

Trap#5

Trap#7

Trap#8

Trap#9

Gateway



1-Hop2-Hops

WSN



Trap#1

Trap#2

Trap#3

Trap#4

Trap#6

Trap#5

Trap#7

Trap#8

Trap#9

Gateway



1-Hop2-Hops

3-Hops

WSN




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.


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

http://entomatic.upf.edu

http://entomatic.upf.edu

http://cordis.europa.eu/project/rcn/191351_en.html

http://cordis.europa.eu/project/rcn/191351_en.html

mailto:[email protected]

mailto:[email protected]

http://www.twitter.com/entomatic_

http://www.twitter.com/entomatic_

ENTOMATIC: IoT aplicat al món rural

Technology

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