Nicolas Verstaevel IRIT DAY 2: SMART CITIES TABLE 4: - - PowerPoint PPT Presentation

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

2

700 members 7 Topics – 21 Teams - 4 Strategic axis

Critical Embedded Systems Ambient Sociotechnical Systems Computer systems for health and autonomy Data Masses and Calculation

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

5

Definition from ITU –T FG-SSC International 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. Monthubert in June 2013

• Supported by the President of

the university J.P Vinel

• Initiative of researchers

10

• 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 students 4 576 staff members including 2 570 teachers and teachers-researchers An area of 264 hectares A multidisciplinary university – Sciences, Engineering, Technologies – Health – Social sciences – Sports – Management

11

12 Buildings Services Transports Energy

Buildings ~ 407 000 m2 Quotidian users ~ 36 000

13

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

14

• 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

15

• 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
• ...

16

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

18

• New type of high-

performance concrete

• Allows new and finer

constructions

• Study of energetical

properties of prefabricated bricks made of hemp concrete

19

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
• bservation of human

activities

• Automatically propose

actions with similar effects but lesser energetic cost

20 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

21

• 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

22

• 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).