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

700 members 7 Topics – 21 Teams - 4 Strategic axis Computer systems for health and autonomy Topic 1 : Information Analysis and Synthesis Ambient Sociotechnical Systems Data Masses and Calculation Critical Embedded Systems 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 Cooperative Multi-Agent System (SMAC) team • Design of self-adaptive systems 2

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

• A smart and sustainable city is an innovative city that uses information and communication technologies and any other means to improve – 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 Definition from ITU – T FG-SSC International Telecommunication Union Focus Group on Smart Cities 5

Smart governance Smart energy education Smart infrastructure Smart technology Smart buildings Smart citizens SMART CITIES are Smart health COMPLEX SYSTEM Smart mobility DATA Smart Smart Services Applications 6

Smart Cities Impact on IT Systems • Composed of many socio-technical  Non-Linearity systems • Interdisciplinarity  Openness • Physically distributed • Open  Large-scale • Dynamic, « City as a living thing » • Produce huge volumes of data  Heterogeneity • Built on the existing : networks, buildings...  Unpredictable dynamics • Various Users/actors 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 • 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 10

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

Buildings ~ 407 000 m2 Energy Quotidian users ~ 36 000 Buildings Services Transports 12

Campus = a platform to experiment innovation Research Large scale In vivo with end-users Education Industry 13

• 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

•  Autonomy Limiting human intervention • No cognitive overload  Self-adaptation • Adaptation to different users • Add / remove components  Scalability • Management of thousands of  Ontologies/Norms sensors and effectors • Interoperability  Bottom-up approaches • To conceive, to develop without fully knowing the finality  Durability • Energy Efficiency  Big Data • Manage masses of data • Privacy security, storage, analysis  Retro compatibility • Always considering the existing  ... ... 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 • A participative application for the census of Fauna and Flora • Crowdsourcing • Provide up to date information to decision-makers • Real time monitoring with sensors network – Monitoring bees through connected hives 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 observation of human activities • Automatically propose actions with similar effects but lesser energetic cost One of the 3 neOCampus classrooms equipped with sensors and effectors 20

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