smart city, iot and geomatics
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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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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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