Nicolas Verstaevel

IRIT

DAY 2: SMART CITIES

TABLE 4: IMPLEMENTATION OF THE SMART CITY CONCEPT

INTERNATIONAL SUMMER SCHOOL

“SMART GRIDS AND SMART CITIES”

Barcelona, 6-8 June 2017

Topic 1: Information Analysis and Synthesis

Topic 2: Indexing and Information Search

Topic 3: Interaction, Autonomy, Dialogue and Cooperation

Topic 4: Reasoning and Decision

Topic 5: Modelization, Algorithms and High Performance Calculus

Topic 6: Architecture, Systems and Networks

Topic 7: Safety of Software Development

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700 members 7 Topics – 21 Teams - 4 Strategic axis

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Cooperative Multi-Agent System (SMAC) team• Design of self-adaptive systems

I. Smart-Cities are complex systems

II. neOCampus operation: Facing Smart Cities through interdisciplinarity

III. Illustration with some ongoing projects

a) Biodiversity

b) New materials

c) consOCampus

d) Singularity detection

I. Smart-Cities are complex systems

II. neOCampus operation: Facing Smart Cities through interdisciplinarity

III. Illustration with some ongoing projects

a) Biodiversity

b) New materials

c) consOCampus

d) Singularity detection

– Life Quality

– Efficacity of urban services

– Competitivity

• While ensuring that it satisfies the needs of current and future generations concerning the following aspects:– Economy

– Social

– Envrionmental

• A smart and sustainable city is an innovative city that uses information and communication technologies and any other means to improve

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Definition from ITU –T FG-SSCInternational Telecommunication Union Focus Group on Smart Cities

Smart Applications 6

Smart citizens

Smart governance

education

Smart mobility

Smart energy

Smart buildings

Smart health

SMART CITIES

are

COMPLEX SYSTEM

Smart technology

Smart infrastructure

DATA

Smart Services

Smart Cities

• Composed of many socio-technical systems

• Interdisciplinarity

• Physically distributed

• Open

• Dynamic, « City as a living thing »

• Produce huge volumes of data

• Built on the existing : networks, buildings...

• Various Users/actors

Impact on IT Systems

Non-Linearity

Openness

Large-scale

Heterogeneity

Unpredictable dynamics

Smart Cities are complex systems

I. Smart-Cities as complex systems

II. neOCampus operation: Facing Smart Cities through interdisciplinarity

III. Illustration with some ongoing projects

a) Biodiversity

b) New materials

c) consOCampus

d) Singularity detection

CONNECTED, INNOVATIVE, INTELLIGENT, SUSTAINABLE CAMPUS DEMONSTRATOR

CESBIO : Center for Spatial Studies of the BIOsphere

CIRIMAT : Interuniversity Center for Research and Engineering of Materials

ECOLAB : Laboratory of functional ecology and environment

IRIT : Toulouse Institute of Computer Science

LA : Laboratory of Aerology

LAAS : Laboratory of Systems Analysis and Architecture

LAPLACE : Plasma Laboratory and Energy Conversion

LCC : Laboratory of Chemistry of Coordination

LERASS : Laboratory of Applied Studies and Research in Social Sciences

LMDC : Laboratory Materials and Sustainability of Constructions

• Launched by the President of the university B. Monthubertin June 2013

• Supported by the President of the university J.P Vinel

• Initiative of researchers

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• Comfort for the everyday life for the university community

• Decrease the ecological footprint of our buildings

• Cost cutting in functioning, in particular for the fluids

31 238 students4 576 staff members including2 570 teachers and teachers-researchersAn area of 264 hectaresA multidisciplinary university– Sciences, Engineering, Technologies– Health– Social sciences– Sports– Management

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Buildings

Services

Transports

Energy

Buildings ~ 407 000 m2Quotidian users ~ 36 000

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Research

Education Industry

Campus = a platform to experiment innovation

Large scale

In vivo with end-users

• Progressive evolution to a smart campus without having to be thought 20 years in advance

• Incremental design

– Researches target quick In vivo experimentations

– Consideration of the existing

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• Hybrid simulation platform PAULSAB• Energetically effective campus

– Distributed production and storage– Converters and networks of lighting – Materials– Sensors– Energy saving in a smart-grid, in a cloud– Monitoring of the System Indoor Environment –

Occupants

• Management of the water and air • Quality of life and service in and outside buildings • Interdisciplinary design method

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• Limiting human intervention• No cognitive overload• Adaptation to different users• Add / remove components• Management of thousands of

sensors and effectors• Interoperability• To conceive, to develop without

fully knowing the finality• Energy Efficiency• Manage masses of data• Privacy security, storage, analysis• Always considering the existing

...

Autonomy

Self-adaptation

Scalability

Ontologies/Norms

Bottom-up approaches

Durability

Big Data

Retro compatibility

...

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I. Smart-Cities as complex systems

II. neOCampus operation: Facing Smart Cities through interdisciplinarity

III. Illustration with some ongoing projects

i. BiodiverCity

ii. New materials

iii. consOCampus

iv. Singularity detection

Monitoring of fauna and flora

• Real time monitoring with sensors network– Monitoring bees through

connected hives

• A participative application for the census of Fauna and Flora

• Crowdsourcing

• Provide up to date information to decision-makers

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• New type of high-performance concrete

• Allows new and finer constructions

• Study of energetical properties of prefabricated bricks made of hemp concrete

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Reduce energy consumption and increase users comfort

• Monitoring environmental conditions and user comfort through sensors

• Change users behaviour through eco-feedbacks

• Learn preferences from the observation of human activities

• Automatically propose actions with similar effects but lesser energetic cost

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One of the 3 neOCampus classrooms equipped with sensors and effectors

• Real-time monitoring of hydraulic and electrical networks

• Huge volumes of data

• Usage of machine learning techniques and expert demonstrations

• Discovery and classification singularities

• Predictive maintenance

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• Each project is inter/trans/multi/disciplinary

• Start from current needs to tackle scientific challenges

• Built on the existing and iteratively

• All the actors of the campus are involved

– Administration

– Students

– Laboratories and researchers

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• The Smart Cities concept induces many challenges

• Smart cities are complex systems

• Transdisciplinary is mandatory

• Put transdisciplinary into action

• Build the Campus of future today

• In vivo laboratory

• Triptych research-formation-industry

Nicolas Verstaevel, Jérémy Boes, Marie-Pierre Gleizes.

From Smart Campus to Smart Cities: Issues of the Smart Revolution.

In 2nd IEEE Workshop on Smart and Sustainable City, 2017(to be published).