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ICT Framework for Smart Cities

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Møte mellom NTNU Smart Sustainable Cities og Gjøvik kommune & eiendomsutviklere, 12.01.2018
Overview of ICT/Computer Science projects and large-scale approaches to understand and build Smart Cities.

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ICT Framework for Smart Cities

  1. 1. ICT Framework for Smart Cities Møte mellom NTNU Smart Sustainable Cities og Gjøvik kommune & eiendomsutviklere, 12.01.2018 Dr. Dirk Ahlers Department for Computer Science, NTNU https://www.ntnu.edu/employees/dirk.ahlers http://dhere.de/ https://www.ntnu.edu/smartcities
  2. 2. 2 What is a Smart City? • Technology? • ICT? • Data? • Smarter Planning? • Smarter Operation? • Smarter Organization? • Smarter People?
  3. 3. 3 What is a Smart City? • Many definitions depending on view, role, discipline, sector, domain, country, … • Combination of physical world, services, infrastructure, ICT • Dimensions of technology, people, institutions A Smart City is a dynamic complex socio-technical system-of- systems that integrates information and communication technology into its structure to manage and improve its planning, services, and operations towards a livable city.
  4. 4. 4 Portfolio Architecture If ICT was a city… Enterprise Architecture System Architecture System Architecture as Architecture Enterprise Architecture as Urban Planning
  5. 5. 5 Scales of study Smart Home Smart Building Smart Campus Smart Neighbor- hood Smart City Smart Nation Building Systems Building Integration, Cohesion Infrastructure, Networks, Community City Systems, Distribution, Organization, Politics, Citizens Large-scale integration of everything, government, ? Private systems ?
  6. 6. 6 The (Smart) City environment [ITU-T, Setting the framework for an ICT architecture of a smart sustainable city (SSC-0345), 2015]
  7. 7. 7 Project Examples Gaining Insight, building systems
  8. 8. 8 Wireless Trondheim / Mazemap Living Lab • Range of applications on WiFi network – WLAN indoor coverage on campus • ‘Campus Analytics’ – Mobility data with high spatial and temporal resolution – Passive location sensing – Device positions as proxy for people’s locations – Abstraction and processing layers • Data cleaning/preprocessing • Movement Extraction • Building-graph extraction • Visualization
  9. 9. 9 CTT – Carbon Track and Trace: IoT emission sensor network https://www.ntnu.edu/ad/ctt
  10. 10. 10 SCIL Makerspace
  11. 11. 11 • LoRaWAN IoT network with gateway antennas and sensor devices in the city • IoT/Smart Home/Automation hardware • Drones, Arduinos, makerspace equipment • Measurement equipment • HCI support • Ongoing furnishing Equipment
  12. 12. 12 Framework Approaches Large ecosystems, integration, orchestration
  13. 13. 13 Smart City Evolution City Evolution, City Systems Evolution Technological constraints and opportunities City needs and strategy External and internal constraints, options, changes [adapted from ITU-T, Setting the framework for an ICT architecture of a smart sustainable city (SSC-0345), 2015] Architecture Evolution and Adaptation, Development and Maintenance Urban Renewal, City Development, City Redevelopment, Urban Innovation Smart City Co-Evolution City ICT/EA Smart Ci es Enterprise Architecture Development and Evolu on
  14. 14. 14 Quadruple Helix Innovation Model • Method used in Innovation, Urban Planning/Development, Citizen engagement • Co-Creation and Open Innovation • Involvement and collaboration of relevant actors • Structural changes beyond any one segment • Smart city means involvement of all stakeholders in urban innovation, knowledge sharing, collaboration Participatory Innovation Industry Academia Civil Society Government [EU Digital Single Market: Open Innovation2.0 https://ec.europa.eu/digital-single-market/en/open-innovation-20]
  15. 15. 15 Handling Complexity • Smart City ➞ Smart City Development and Evolution • Cities are complex • Integrated interoperable solutions are hard (not only ICT) • Goal: Keep flexibility, enable experimentation • Trondheim: > 200 IT systems in the administration alone (including legacy), does not include connection to physical systems, physical asset management and automation, external departments (health, …), subcontractors, national systems, needs of future SC/IoT/BigData projects
  16. 16. 16 Refined Smart City Understanding through EA • The city is a complex ICT-heavy socio-technical enterprise ecosystem • A Smart City is not a project or a state, it is a process – At least a suite of complexly connected projects and environments and dynamics • Smart City can mean the City ‘reinventing’ itself • Ongoing restructuring and digitalization processes – Service innovation – System/services integration and connection – New technology, connecting silos Smart Ci es Enterprise Architecture Development and Evolu on
  17. 17. 17 Trondheim Kommune, Reference Architecture for IT Services [Referansearkitektur for IKT Tjenester, Trondheim Kommune, 2017]
  18. 18. 18 Espresso Smart Cities Reference Architecture [Espresso H2020 project: D4.2.1 Smart City reference architecture report, 2016]
  19. 19. 19 Trondheim-NTNU Collaboration: Real-life cases
  20. 20. Contact search://Dirk Ahlers geo: 63°25‘10“N 10°24‘9“E @dirkahlers dirk.ahlers@ntnu.no https://www.ntnu.edu/smartcities

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