Smart city, IoT and geomatics

Majda Ivić, PhD student

Faculty of Civil Engineering, Architecture and Geodesy

University of Split

2nd INTERNATIONAL DOCTORAL SEMINAR ON

GEODESY, GEOINFORMATICS AND GEOSPACE

8th-11th May 2018, Dubrovnik, Croatia

The data revolution

• Technological revolution – changes in the traditional ways of collecting and analysing data

• New devices, platforms, social media Big data

• Integration of data Smart city movement

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Smart city movement

• Greater resource exploitation, energy consumption, inadequate infrastructure, environmental pollution and increase of the emission of harmful gases

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Smart city

• „Safe, secure, environmental and efficient urban centre of the future with advanced infrastructures such as sensors, electronic devices and networks to stimulate sustainable economic growth and a high quality of life.” (Bakici et al. 2013)

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Smart city

• A key component – sensor layer

• Real-time data adapting on the fly

• Smartness of a city enabled technologically by Internet of Things (IoT)

• IoT – a network of interconnected objects and sensing devices

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Geomatics

• GIS,

• GNSS,

• Remote sensing …

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Spatially embedded question Information required

Where is this? Location

What is happening where? Event at a location

Is this available here? Presence of a thematic content at a

location

What is amount of this here? Statistics per location

What is the amount of this per time unit? Data flow per location

What is the best route? Routing

What is here? Spatial content of an area

What was here? Historical spatial content od an area

What will be impact of doing this here /

of this event occuring here?

Simulation of the interaction of an event

with the spatial content of an area

Can I do that here? Correlation between an action and the

spatial content of an area

(Daniel & Doran 2013)

Smart city concept

• Sensor layer Big data• Where to store and how to analyse these massive data streams?

• Integration of a large amount of heterogeneous information?

• Cloud Computing• Computing services that are accessible over the Internet and developed on a

common pool of remotely hosted resources

• Fog Computing• Data can be analysed and processed by applications running in devices within the

network Real-time

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Smart city concept

• Location cloud• Integration of 3S (RS, GIS, GPS) techniques, IT technology, the Internet and

communications technology

• Collecting all of the information available related to some geographic location providing location-based services

• Remote sensing cloud• Storage of remote sensing data together with processing algorithms

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Smart city concept

• Heterogeneous information a lot of high rate data that cannot be reviewed by humans

• Operating environment of smart city applications changes over time

• Need for a dynamic, continuously learning algorithm Machine learning

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IDS3GEO 2018

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Is there a place for geomatics?

• 3D spatial-temporal modelling

• Integration of global position system (GPS), remote sensing and GIS in mobile platforms

• Indoor and underground navigation

• „A key component of smart city development is ubiquitous ICT and geolocation infrastructures providing a real time information flow of the position and displacement of everything and everybody.” (Daniel & Doran 2013)

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Thank you for your attention!

2nd INTERNATIONAL DOCTORAL SEMINAR ON

GEODESY, GEOINFORMATICS AND GEOSPACE

8th-11th May 2018, Dubrovnik, Croatia