internet of things€¦ · internet of things is an integrated part of future internet. source:...

Internet of Things Vision and the Technology Behind Connecting the Real, Virtual and Digital Worlds

Olaf Østensen

Statens kartverk

GEOINFO 2011 4. oktober, Uppsala

Basert på bidrag fra:

Dr. Ovidiu Vermesan,

Dr. Arne-Jørgen Berre,

begge fra SINTEF

Future Internet

The vision of Future Internet based on standard

communication protocols considers the merging of

computer networks, Internet of Media (IoM), Internet of

Services (IoS), Internet of Things (IoT) into a common

global IT platform of seamless networks and networked

“things”. This future network of networks will be laid out as

public/private infrastructures and dynamically extended

and improved by terminals created by the “things”

connecting to one another.

0537.84.61261

The Future Internet will have…

a considerable higher transmission capability

a computational capacity and performance that clearly will exceed what we have today

wireless access everywhere

a great number of different digital objects and electronic devices connected

integrated security mechanisms at all levels and adaptive tools and services

The political agenda

INSPIRE, SEIS, …, Digital Agenda for Europe

Digital agenda for Europe

Interoperability solutions for European Public Administrations

INSPIRE technical architecture - the infrastructure built by member states

Very structured, but …

Spatial data set – spatial data service - centric

Only member state level

Service

Metadata

Data Set

Metadata

Discovery Service

Application and Geoportals

InvokeSD

Service

Spatial Data Set

View

Service

Download

Service

Data

Layer

Serv

ice

Layer

Ap

pl.

Layer

Transf .

Service

Spatial Data Services

Harmonised SpatialData Services

Registers

Registry Service

Service Bus

GeoRM layers

The future infrastructure?

Things

Data, services,

models, applications,

sensors

Cloud computing –

non-cloud computing

Free and open source

– licenced

Public - private

Things are identifiable

Things are invokable

Things have interfaces and can communicate

Things have metadata - semantics

Need standards

Need frameworks

Future Internet

IoT – Internet of Things

IoM – Internet of Media

IoS – Internet of Services

IoE – Internet of Enterprises

Internet of Things

Internet of Things is an integrated part of Future Internet.

Source: Internet of Things - Strategic Research Roadmap, CERP-IoT 2010

A dynamic global network infrastructure with self configuring

capabilities based on standard and interoperable

communication protocols where physical and virtual “things”

have identities, physical attributes, and virtual personalities

and use intelligent interfaces, and are seamlessly

integrated into the information network.

In the IoT, “things” are expected to become active

participants in business, information and social processes

where they are enabled to interact and communicate

among themselves and with the environment by

exchanging data and information “sensed” about the

environment, while reacting autonomously to the

“real/physical world” events and influencing it by running

processes that trigger actions and create services with or

without direct human intervention.

Internet of Things


Interfaces in the form of services facilitate interactions with

these “smart things” over the Internet, query and change

their state and any information associated with them, taking

into account security and privacy issues.

Internet of Things


Connect objects and devices to repositories and networks using

simple, and cost effective systems of item identification so data about

things can be collected and processed.

Ability to detect changes in the physical and environmental status of

things, using sensor technologies.

Internet of Things

Devolving information processing capabilities to the edges of the

network using embedded intelligence in the things.

Miniaturization and use of nanotechnology so smaller and smaller

things will have the ability to interact and connect.

Internet of Things

Connecting:

A symbiotic interaction among the real/physical, the digital, virtual worlds and society

Things Attributes

“Things” can initiate communication

“Things” can communicate with other “things”, computing

devices and with people

“Things” can be “real world entities” or “virtual entities”

“Things” have identity; there are means for

automatically identifying them

“Things” may have sensors attached, thus they can

interact with their environment

“Things” can collaborate to create groups or networks

“Things” can do many tasks autonomously

“Things” are involved in the information exchange

between real/physical, digital and virtual worlds

“Things” can selectively evolve and propagate

information

Things Attributes

“Things” would be competing with other “things” on resources, services and subject to selective pressures

“Things” can create, manage and destroy other “things”

“Things” can use services that act as interfaces to “things”

“Things” respect the privacy, security and safety of other “things” or people with which they interact

“Things” use protocols to communicate with each other and the infrastructure

“Things” can negotiate, understand and adapt to their environment

“Things” can extract patterns from the environment or to learn from other “things”

“Things” are environmentally safe

“Things” can take decisions through their reasoning capabilities

Ubiquitous Sensor Network

Any place, any thing using wireless tags/nodes-Ubiquitous

Sensing ID and environmental information-Sensor

Real time monitoring and control using a-Network

IoT and Cloud Computing

Computing paradigm where data and services reside in

massively scalable data centers and can be ubiquitously

accessed from any connected device over the Internet.

Physical location and underlying infrastructure details are

transparent to users

Anytime, Anywhere access to IT resources delivered

dynamically as a service

IoT and Cloud Computing

Real virtual and digital worlds

Connecting real, virtual and digital worlds

The challenge:

Linking smart wireless identifiable devices and RFID data with

virtual worlds software programs

Transfer positions of real persons and real things into the

virtual world.

Enable the smart wireless devices to trigger actions in the

real world.

Source: Dell

Residents can go to the virtual factory,

customize their Dell and purchase, and

their PC arrives at their real-life door.

“Connecting virtual reality with real world commerce"

“Connecting Consumers Virtual Lives with Their Real World Needs”

Wireless Smart System Applications

Automotives

Aeronautics

Information and Telecommunication (ITC)

Medical Technologies

Logistics and object mobility and management

Chrysler

IoT Application Domains

Aerospace and aviation,

Automotive,

Telecommunications,

Intelligent Buildings,

Medical Technology, Healthcare,

Independent Living,

Pharmaceutical,

Retail, Logistics, Supply Chain Management,

Manufacturing, Product Lifecycle Management.

Oil and Gas

Safety, Security and Privacy,

Environment Monitoring,

People and Goods Transportation,

Food traceability,

Agriculture and Breeding,

Media, entertainment and Ticketing,

Insurance,

Recycling.

ITS (EU CVIS)

Execution infrastructure ( OSGi based)

Basic Facilities Domain Facilities

Services

Communication Infrastructure

(including OS and Hardware (sensors, actuators etc) )

Native / Real - time

applications

Security

Life

cycle DDS

Connection

Manager

HMI HMCA Billing&

Payment

Position&

Map matching Map

Provision

Native

Interface

…

Dangerous

Goods

Parking

Zones

Flexible

Bus Lane Enhanced

Driver

Awareness

Routing

Network

Assessment Coop.

Travelers

Assistance

Access

Control Traffic Control

Assessment

Coop.

Traffic

Information

Coop

Monitoring

Vehicle/

Roadside

Tree

Priority

Information

Coop.

Traffic

Control

Broadcast Dep &

prov

Identity

Location

Reference

GSP

Speed

Profile

Crisis management (DiVA FP7)

23

Crisis team

Smart Homes

24

Smart Cities

Smart City case study. A smart city conveys a set of networked smart applications and

services supporting citizens in performing their leisure and professional

related tasks (Picture of Dongtan, a smart city located 40 km from Shanghai, China).

Standards and technologies

UML, SoaML, Webservice standards (WSDL, SOAP...)

Extend and add technologies to better managing service

enablement of things (e.g., ThingML)

ISO 19100-series of geographic information/geomatics

standards

OGC services standards

Observations & Measurements (O&M) - The general models and XML

encodings for observations and measurements. (also ISO 19156)

Sensor Model Language (SensorML) - standard models and XML

Schema for describing the processes within sensor and observation

processing systems.

Sensor Observation Service (SOS) - Open interface for a web service to

obtain observations and sensor and platform descriptions from one or

more sensors.

Integrate methods and tools to provide an integrated

construction and execution framework for service enablement

of things 26

One of the “things” – models as services (MaaS)

Design time

Set-up time

Execution time

• Discover existing resources

• Build the modeling workflow

• Register/Annotate the new Service

• Discover existing Modeling Services

• Select a region of interest

• Discover existing data sources

• Select the data sources

• Set the parameters

• Play the scenario

• Discover existing Modeling Services

• Select a region of interest

• Discover existing data sources

• Select the appropriate sensors data streams

• Select functional parameters for the alerting system

Semantic Annotations are a key enabler for discovery of services!

(provide on-the-shelf modeling solutions)

(connect the appropriate sources of

information to feed the modeling service)

(interact with the information provided by

the models and monitor the system)

A General Scenario for MaaS – User Operations

Oil Spill Pilot Case: Impact

Difficult decisions ahead!

A clear need for risk

analysis tools to support:

• strategic,

• tactical, and

• operational

decision-making

29

05.10.30

dissolution from entrained droplets

degradation

surfacing of droplets, slick formation

particulate adsorption/desorption

settling

Volatilization from water to air

sediments: deposition, dissolution, degradation

Response actions

Surface processes:

• drifting, spreading

• natural dispersion

• emulsification

• evaporation

• stranding

Oil spill processes

Biological effects

Scenario – Oil Spill Risk Analysis

31

How to set up Web services that can be manipulated by non-technical operators

and can enable a quick and adequate response in order to minimize biological

consequences of oil spills at sea?

Source: SINTEF

32

ENVISION – An Infrastructure for MaaS

ENVIronmental Services Infrastructure with ONtologies

Portal with a pluggable decision

support framework

Visual service chaining

Migration of existing models to MaaS

Semantic annotation infrastructure

Visual semantic annotation

mechanism

Multilanguage ontology management

Execution space

Semantic discovery catalogue

Semantic service mediator

Adaptive service chaining execution

05.10.33

Current architecture

Map

database

Sea depths;

shorelines;

sediment types NMA

Currents;

wind

met.no

PredictOilDrift

Spill data (location; date; amount; oil type)

Weather

and sea

models

Oil drift predictions (4D)

Cod

spawning

areas IMR PredictCodEffects

WAF WAF

concentrationconcentration

fieldfield

VerticalVertical sectionsection

KeysKeys

WindWind vectorvectorMassMass BalanceBalance

HomeHome

base for base for

responseresponse

equipmentequipment

DispersantDispersant

helicopterhelicopter en en

routeroute

SkimmersSkimmers

ClockClock ((days:hoursdays:hours: : minutesminutes))

WAF WAF


fieldfield


KeysKeys


HomeHome

base for base for

responseresponse

equipmentequipment



routeroute

SkimmersSkimmers


ENVISION

end user

Map

database

Weather

and sea

data

Mode selection (real-time/historic)

met.no/

SINTEF

<forecasts>

<historic data>

Citizens and private sector

Public sector, national and European

ND - service based infrastructure

metadata

WMS - view services

Download - WFS services

Data sources for the pilot

05.10.35

Map data

- basic map

Map data

- included depths

Data sources for the pilot

36

Weather data

- wind direction

and strength

Weather data

- included air

pressure

05.10.37

New architecture – model as a service

Map

database

Sea depths;

shorelines;

sediment types NMA

Currents;

wind

met.no

PredictOilDrift

Spill data (location; date; amount; oil type)

Weather

and sea

models


Cod

spawning

areas

IMR PredictCodEffects

WAF WAF


fieldfield


KeysKeys


HomeHome

base for base for

responseresponse

equipmentequipment



routeroute

SkimmersSkimmers


WAF WAF


fieldfield


KeysKeys


HomeHome

base for base for

responseresponse

equipmentequipment



routeroute

SkimmersSkimmers


ENVISION

end user

Map

database

Weather

and sea

data

Mode selection (real-time/historic)

met.no/

SINTEF

<forecasts>

<historic data>

New: Spill data entered by user

(instead of satellite link) Support for both real-time

and historic modes A (simple) PredictEffects

MaaS can be built to demonstrate model chaining

MaaS - WPS

service

service

service

service

Additional data sources for decision support

Ship traffic

- identity

- direction and

speed

- cargo

Other data - examples

- emergency installation

- protected area

- cultural value

Additional data sources for decision support

39

Environmental data

- birds

- areal classification

Other data - examples

- outdoor life

- fishing farms

05.10.40

New architecture – model as a service

PredictOilDrift


PredictCodEffects

WAF WAF


fieldfield


KeysKeys


HomeHome

base for base for

responseresponse

equipmentequipment



routeroute

SkimmersSkimmers


WAF WAF


fieldfield


KeysKeys


HomeHome

base for base for

responseresponse

equipmentequipment



routeroute

SkimmersSkimmers


MaaS - WPS

service

service

service

service

New: Prediction model as service Input data to model as services Oil spill decision portal Additional input to portal as

services

Oil spill – decision support

portal

Oil spill

Weather

Map

Environment

Other …

service catalogue

service

service

service

Oppsummering

… mens vi møysommelig bygger vår infrastruktur med

dagens og gårsdagens teknologi …

… kommer nye teknologier og paradigmer i stadig økende

fart …

… og muliggjør en langt rikere infrastruktur i framtida …

… med ny funksjonalitet og nye muligheter …

… men også utfordringer til sikkerhet, personvern og

tilgjengelighet for alle …

Hvor står vi om 10 år?

internet of things€¦ · internet of things is an integrated part of future internet. source:...

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