Use Case Analysis for Smart Cities and Communities Gyu Myoung Lee - PowerPoint PPT Presentation

Workshop on Smart Sustainable Cities Samarkand, Uzbekistan, 1-2 June 2017 Use Case Analysis for Smart Cities and Communities Gyu Myoung Lee ITU-T Chair of FG-DPM, WP3/13 Co-chair, Q16/13 and Q4/20 Rapporteur LJMU UK/ KAIST Korea gmlee@kaist.ac.kr 1

Contents • Introduction • Smart cities and communities • Examples of use cases – Crowdsensing, Open data, Recommendation • Global City Teams Challenge • Towards wise cities • IES-City Framework 2

Enabling Technology for IoT “Internet of Things – converging technologies for smart environments and integrated ecosystems” River Publishers

Putting all together for IoT Network Connectivity (The ongoing convergence of evolution of devices) Trust Computing Big Data Clouds (Accumulation of data from sensors and social networks) (Deployment of large shared infrastructure) 4

From living space to community space 5

Towards Public Sector IoT • Smart city – Use enabling technology for IoT to improve the quality of life in cities and communities • Smart cities and communities (SC&C) – Increase citizen engagement – Data-driven applications 6

Social-Cyber-Physical Systems 7

Infrastructure for SC&C 8 Source: NIST – Sub, Ahmed, Sriram

Typical Use Case for SC&C • Several applications in smart city crowdsensing • vCity Map application: o Monitor Road conditions o Data is collected from participating cyclists • SmartCitizen application: o Mobile sensing involves residents in producing and sharing beneficial information regarding the city (weather conditions, health related issues and traffic situations) Source: “ People- centric computing and communications in smart cities ” IEEE, 2016 9

A mature smart city • Enable individual citizens, businesses, NGOs and the municipality itself to both contribute and extract data, and to create and make use of applications based on that data Source: Machina Research, 2016 oneM2M White Paper 10

Enabling open data transparency 11 a web page of London Datastore

Context-aware collaborative recommendation Context Information Users Recommendations Information Recommender Algorithm (Collaborative based ) Device/ Item Trust Information Index/Value 12

Global City Teams Challenge • Establish and demonstrate replicable, scalable and sustainable models for collaborative incubation and deployment of interoperable, standard-based IoT solutions and demonstrate their measurable benefits in Smart Communities/Cities • Enable the measurement science for real-world IoT deployments in scale Community-centric Smart Connected Services: Sense, Report, Act, and Refine 13

From Smart Cities to Wise Cities • Why “Wise”? – deeper and more long- term than mere “Smart" • Wise Cities – leverage the massive amounts of data generated by today's devices and sensor to guide long-term thinking, planning, and activity. MIT EmTech 2013 Panel Discussion 14

IES-City Framework https://pages.nist.gov/smartcitiesarchitecture 15

Urban Applications 16

 to manage and improve building performance, safety and Built comfort environment  to know, use and manage the land resources into built environment Sub-category Issues Kind of applications (examples) Smart Home   to enable automatic and remote control of home home monitoring and management systems and conditions systems   to create services to improve the awareness of building monitoring and management home residents about energy and water systems  consumption energy monitoring and management  to activate remote assisted living services systems   to optimize the efficiency of heating systems, water monitoring and management reduce energy consumption and environmental systems  impact, lowering utility bills consumption monitoring systems   Smart to enable automatic and remote control of home building monitoring and management Building and building systems and conditions systems   to create services to improve the awareness of energy monitoring and management building occupants about energy and water systems  consumption water monitoring and management systems   Land use and to collect and provide information about land use classification systems  management available land resources and how their are used GIS enabled land mapping   to management natural resource smart land use planning systems 17

 to collect, manage, distribute, use, reuse and recycling water Water and  to reduce water consumption and contamination, enable the wastewater effective utilization of water resources  to reduce costs and increase the reliability and transparency of water distribution Sub-category Issues Kind of applications (examples)   Water to map and monitor the hydrology network weather forecasting systems   collection and to monitor groundwater level systems for geo-spatial mapping of networks  management to predict and manage events (like storm) in time  to monitor water quality and take corrective action in case of any degradation of water quality  to analyze, predict and manage water consumption   Water to map, monitor, manage and make efficient the ghost pipe detection and management systems  distribution water distribution network water leakages detection and management  to detect outage, breakage, leakage, ghost pipes in systems  the network outage management system   to monitor water quality and take corrective action real-time hydraulic modeling water distributions in case of any degradation of water quality tool  water and wastewater SCADA  application for geospatial management of water distribution network  quality water monitoring and correcting systems   Water to enable consumers to understand, monitor and online systems for understanding and monitoring consumption control their water usage the water usage   Wastewater to monitor sewer lines infrastructure plant monitoring and control systems   management to improve wastewater treatment sewer lines infrastructure monitoring and control 18 systems

 to favor recycling and reuse of the products in order to convert waste Waste into a resource and create closed-loop economies  to involve citizens in city sanitation  to improve efficiency of waste collection and transportation systems  to improve the waste disposal processes Sub-category Issues Kind of applications (examples)   Citizens to create awareness on waste segregation and online platform to sell and regain value from engagement recycling products   to provide visibility on city sanitation, route web portal to share and provide information planning for garbage collection, resource optimization, efficient asset management, efficient maintenance, visibility of waste bins, air quality measurements etc   Collection to optimize the pick-up routes and schedules waste collection scheduling systems (based on  and to reduce the manpower sensors and GPS devices)  segregation automated waste collection systems   Waste to evaluate the energy production from waste energy simulation systems   disposal to enable smart landfill management landfill management systems   to monitor pollution levels at landfills pollution and contamination control systems 19

 to manage the demand-supply gap Energy  to reduce energy losses, consumption and carbon footprint  to provide reliable 24x7 energy supplies and reliable metering  to favor the creation of a single and smart electricity grid  to improve energy asset management, energy operations and customer service for citizens and business Sub-category Issues Kind of applications (examples)   Energy to improve supply by integrating decentralized demand/response management systems  supply renewable energy sources energy simulation systems   to provide advanced energy supply service real-time consumption monitoring and control management: load management, demand- systems  response, real time monitoring and control carbon reporting and management systems   to create large customer profiling energy service management systems   Energy to regulate load and capacity factors to maintain electric SCADA  transmission stability in the grid solutions for substation automation   and to manage unpredictable energy production solutions for feeder automation   distribution to identify theft and pilferage overloading management solutions   to track defaulters self-healing grid systems   Energy to reduce energy demand from buildings and electric infrastructure management systems  demand industrial plants GIS mapping systems   to identify target customers and define strategies network mapping and consumer indexing systems  for effective energy management smart streetlights systems   to activate smart prices policies large customer profiling solutions   to collect accurate information on energy usage energy service management systems  consumption monitoring systems 20