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Lecture 1 Smart City concept - English.pdf
The document outlines the master course in urban engineering focused on smart cities, highlighting key concepts, challenges, and solutions related to urban development and technology. It discusses the implementation and indicators of smart cities, emphasizing the role of digital technology, data analysis, and community governance in addressing urban challenges. The summary includes examples of projects, such as the Sunrise Smart City project, and emphasizes the need for efficient, data-driven solutions to enhance urban living conditions.
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Lecture 1 Smart City concept - English.pdf
- 1. Master Urban Engineeringand Habitat (2021 – 2022) Course Smart City Professor Isam SHAHROUR Isam.shahrour@univ-lille.fr
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- 3. Master Urban Engineeringand Habitat (2022 – 2023) Course Smart City Ch1: Smart City concept Professor Isam SHAHROUR
- 4. Scientific papers aboutthe smart city Publications
- 5. Smart City • Challenges? • Solution • Intelligence (Inspired from human) • Eco- and socio- friendly (focus on human)
- 6. Q1: The Smartcity concept? Q2: Smart city implementation ? Q3: Smart city indicators ? 3 Questions
- 7. Q1: The Smartcity concept? Q2: Smart city implementation ? Q3: Smart city indicators ? 3 Questions
- 8. Major challenges relatedto the city (physical, management, services,….) Urban – Developed countries
- 9. Lack of infrastructures Agingbuildings Aging infrastructures Old management Poor maintenance The City: Combination of critical factors
- 10. The City Social and Economic •Population growth • Aging • Poverty • Unemployment • Governance City under increasing pressure … Built-Environment • Aging • Lack • Adaptation to new challenges Environment • Congestion • Climate change • Pollution Hazards • Natural • Industrial • Social
- 11. Solution strategies City Built environment (Infrastructures& Buildings) The Community Governance & management Smart Solution: Do more with less 1) Renovation/update of infrastructures • Takes long time • Requires huge investment 2) Smart City solution • Could be implemented rapidly • Lower cost • More efficient
- 13. Smart Grid –NEMA Report (2011) NEMA : Association of electrical and medical imaging equipment manufacturers (US)
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- 16. Human Intelligence Experience (learningCapacity) Sensing Cognitive Actions
- 17. Intelligent system Urban System SensingLayer Information system Analysis capacity (Engineering, IT) Control layer Virtuous actions Digital Model
- 18. Role of thedigital technology
- 19. Digital Technology: connectpeople and things Geo-Localized Connected (IoT Network) Storage and Analysis capacity Operate actions
- 20. Smartphone: high sensingcapacity
- 21. Advanced technology fordata collection
- 22. https://web-assets.domo.com/blog/wp-content/uploads/2014/04/DataNeverSleeps_2.0_v2.jpg Social Media: Semanticanalysis Geo-localized content Useful anonymous information for the City management (emotional data included) Semantic analysis
- 23. 2016 2017 2015 2014 Papers: Social media& semantic analysis in urban studies
- 24. High capacity indata analysis and learning
- 25. 2014 2017 2017 2015 Papers: Artificial Intelligencein urban studies
- 26. Digital technology inthe City 1) City Digital Model (2D, 3D, Semantic) GIS, BIM, Civil 3D Photogrammetry, CityGML Digital model of the city - Geo-reference - Attributes - Semantic
- 27. Digital technology inthe City • See • Analyze • Understand • Operate actions: • Optimization • Security 2) Monitoring & control Real-time
- 28. • See • Analyze •Understand • Take collective decision • Operate actions: • Optimization • Security 3) Interaction with the community Digital technology in the City Governance
- 29. Health, Education Art, Culture BIGDATA digital, images, movies, audios 4) More data
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- 32. Introduction to Montreal'sSmart City Plan by Montreal City Council Chairman Harout Chitilian, 2017
- 33. Q1: The SmartCity Concept? Q2: Smart City implementation ? Q3: Smart City indicators ? 3 Questions
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- 35. Smart City Platform Digital tools (Analysis,graphic, user’s interface) Information system Big data: structured and unstructured data) IoT (sensors) People External sources Sensing & control Centralized & Distributed X
- 36. Platform Information System • Assets Data(GIS, BIM) Data transmission: • Wired • Wireless • Buildings • Urban network Sensors & Actuators • Recorded data (sensors) Other data • Environment • Transport • Administration • Other data Web Server • Technical staff • Users Analytics Smart city system
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- 43. Data-based (Knowledge) (Real-time &historical) Security & Resilience • Rapid action in case of abnormal event • Learning from events Comprehensive (technical, social, economic,..) Optimization Improves systems’ efficiency Governance: Democratic, transparent, citizens’ participation
- 44. Savings in theconstruction and in running costs largely cover expenses of the smart system implementation
- 45. Q1: The SmartCity Concept? Q2: Smart City implementation ? Q3: Smart city indicators ? 3 Questions
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- 60. • Smart Economy •Smart Mobility • Smart environment • Smart people • Smart Living https://www.urbansolutions.es/en/blog/95-big- data-and-smart-cities/130-local-government-kpis- that-measure-the-success-of-a-smart-city-project Smart city indicators
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- 66. Example – SunRiseSmart City project
- 67. Scientific Campus –Lille University Petite ville • 25 000 usagers • 140 Bâtiments 100 km de réseaux urbains • Eau potable • Assainissement • Electricité • Chauffage urbain • Eclairage public
- 68. Mise en placedes coopérations
- 69. Un très grandnombre d’étudiants : doctorat, master
- 70. European Smart Waterproject SmartWater4Europe TWULDemo site London Burgos VIP Leeuwarden Lille Demo site
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- 74. SunRise Smart Cityproject Scientific City campus
- 75. The City Social and Economic •Population growth • Aging • Poverty • Unemployment • Governance City under increasing pressure … Built-Environment • Aging • Lack • Adaptation to new challenges Environment • Congestion • Climate change • Pollution Hazards • Natural • Industrial • Social Solution strategies City Built environment (Infrastructures & Buildings) The Community Governance & management Smart Solu*on: Do more with less 1) Renovation/update of infrastructures • Takes long time • Requires huge investment 2) Smart City solution • Could be implemented rapidly • Lower cost • More efficient Smart city: Intelligent solution to cope with the city challenges
- 76. Inspired from HumanIntelligence
- 77. Smart City Platform Digital tools (Analysis,graphic, user’s interface) Information system Big data: structured and unstructured data) IoT People External sources Sensing & control Centralized & Distributed X Smart City: Based on data collection and analysis
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