Smart Cities: The Making of - Michael M. Hsieh


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  • 智能化城市的一切运行都将与生态密切整合, 配合智能市民的高度适应性,形成一个可自 我持续的实体。未来的发展空间将无可限量。
  • In the future, we may see a rise in smart appliances and devices that are accessible utilizing the IoT. Take your refrigerator for example. It already has a sensor that knows when the door is open or closed and temperature/humidity sensors to ensure that food remains stored in the optimal environment. It has a sensor that tells you when the water filter needs to be changed. In the future, if manufacturers start embedding RFID chips in product packaging, it may even have an RFID reader that knows what products it is currently housing (there are already refrigerators out there that have RFID readers). It is a system of sensors that can be described using SensorML. Information from those sensors could be accessed from an SOS, sensors/actuators could be controlled via an SPS, and alerts could be subscribed to and received via an SAS. If my refrigerator and its associated SWE services were available over the Internet, I could be at the grocery store and use my mobile phone to ask my refrigerator what it contains or doesn’t contain. My refrigerator could alert me when a product has been stored too long and has expired. Or, my refrigerator or some SWE-enabled smart agent acting on my behalf could text me with a grocery list (generated for me based on my habits and current inventory) or e-mail me that I need to purchase a new water filter (via a WNS), or maybe the refrigerator or smart agent could even go to or some other online store and order a new water filter for me. In this case, the use of SWE allows IoT software on my mobile device or within my home to be reusable, assuming that all of the smart appliances in my home are SWE-enabled. This simple use case extends to multiple application areas in the home like power management: smart meters, outlets, and the smart grid. A user utilizing the same SWE Client application from the previous example could access information on home power usage by outlet, retrieve the current temperature and environmental conditions in his/her home, etc. SWE-enabled smart agents could manage the power usage in the home by monitoring environmental/other sensors and adjusting the thermostat and other devices.
  • 智能化城市的一切运行都将与生态密切整合, 配合智能市民的高度适应性,形成一个可自 我持续的实体。未来的发展空间将无可限量。
  • Smart Cities: The Making of - Michael M. Hsieh

    1. 1. A Perspective about Smart City Prepared and Edited by Michael M. Hsieh, Ph.D. Registered PRINCE2 Practitioner Instructor at UC Berkeley Extension 2012-Nov-15 All Rights Reserved. 1
    2. 2. What Would Be Expected from Smart Cities? Smart Economy Smart Mobility Smart SmartGovernance Smart City Environment Smart Living Smart PeopleSwissnexSF 2012-Nov-15 Reference: Oliver Haubensak, 2011 2
    3. 3. Trends of Smart Cities Public Administration Entertainment & InfotainmentSecurity & Safety On-line Shopping On-line MarketingWaste Management Tourism ConsultationIntegrated Water Resource Ecologically On-Line & Integrated Traffic & In-Class Transportation Education Public & Private Healthcare SwissnexSF 2012-Nov-15 Reference: Michael M. Hsieh, 2011 3
    4. 4. Intelligence Embedded Everywhere Smart Energy Grid Smart City Living • Smart, renewable, and local •Smart Homes energy generation •Smart Buildings • Smart sensors (observability) •Eco-friendly and actuators (controllability) transportation • Real-time sensor data retrieval•Smart lighting • Real-time service charge signal•Smart energy • High speed communication management • Smart energy storage •Smart ICT •Smart governance and servicesSwissnexSF 2012-Nov-15 Source of Image: Xcel Energy, 2011 4
    5. 5. A Model of SWE-Enabled HomeSensor Observation Service (SOS) SensorML System SensorML System - Thermometer(s) - Thermometer(s)Sensor Planning Service (SPS) --Ice/Water Dispenser Switch Ice/Water Dispenser Switch --Door Switch Door SwitchSensor Alert Service (SAS) --RFID Reader RFID ReaderWeb Notification Service (WNS) SOS ta he r Da t tu re, O ra SPS e mpe n gs ry, T Setti nt o her ve Inve atur e, Ot lerts trie Temper Re ust Other A SAS tion, A dj lter Expira od/Fi ry, Fo SWE vento rts ve In Recei Ale Client ts A ler Smart Appliances E-m SWE E-m ail, ail, tex Smart tex tA Or tG ler Agents de ts ro st rN cer y er y Li ew Lis c t WNS Gro F il terSWE: Sensor Web EnablementWNS: Web Notification Service SwissnexSF 2012-Nov-15 Source of Image: Scott Fairgrieve, 2011 5
    6. 6. IoT vs the Railroad to Pacific West of USA SwissnexSF 2012-Nov-15 Reference: Michael M. Hsieh, 2011 6
    7. 7. A Logical Model of a Smart City Environmental Societal Sustainability EconomicSmart Societal Sustainability •Safety, Privacy, & Viability •Quality of Life Security •Investment Objectives & •Energy Efficiency •Culture & Education •EmploymentSmart Policies •Pollution Control •Healthcare, Social Care, •Innovation •Overall Resource & Life Support •Incubation Management •Social Welfare •Politics Smart Utilities Smart Living Smart Governance Smart •Energy •Urban & Suburban •Smart Government Industries & •Fresh Water Planning & Zoning •Smart EconomySmart Services •Waste Management •Buildings •Advanced Civics •Communication •Dwellings •Smart Citizenship •Transportation •Education •Recreation Smart Urban Operating System & Smart Urban Middleware Observability & Business Dialog SupportSmart Societal Controllability Intelligence •CommunicationInfrastructure •Smart Sensors •Cloud Computing Platforms •Intelligent Devices •Data Analytics •Web Services •Smart Actuators •Decision Support •Social Media SwissnexSF 2012-Nov-15 Reference: Michael M. Hsieh, 2012 7
    8. 8. Smart City Offers Personalized Services SwissnexSF 2012-Nov-15 Source of Image: Frost & Sullivan’s, 2012 8
    9. 9. What’s In It For Me?• Better Interconnected• Better Overall Service• Better Informed despite of the Big Data• Better Engaged• More Autonomy• Better Security• Better Choices• Better Life• Wanted by the People, Property of the People, Service for the PeopleSwissnexSF 2012-Nov-15 Reference: Michael M. Hsieh, 2011 9