Technologies Enabling the Evolution of a Smart City. Brad Schmidt, Intergraph Canada

Transcription

1 Technologies Enabling the Evolution of a Smart City Brad Schmidt, Intergraph Canada

2 AGENDA The Smart City Key Challenges Facing Cities Technology Challenges Smart Sensor Integration Smart Apps Smart Data Management Smart Systems 2

3 Smart City For the first time in history, more than 50 percent of the world s population lives in urban areas and by 2050, nearly 70 percent of people will live in cities. A smart city should be able to respond faster to city and global challenges than one with a simple 'transactional' relationship with its citizens 3

4 Key Challenges Facing Cities As ranked by the Tech Insider in 2015: #10 Health Care #9 Demographics #8 Environment / Energy #7 Data/Technology #6 Affordable Housing #5 Quality Education #4 Budgets #3 Public Safety #2 Infrastructure #1 Economic Development (jobs and income inequality) Source: The National League of Cities, 2015 Annual State of Cities Report 4

5 Bringing Smart Cities To Life Bringing Smart Cities to Life Involves Bridging the Gap Between Real World Challenges and Digital World Opportunities Cities are Laboratories for Innovation (Tech Insider August, 2015) 5

6 Key Challenges Facing Cities Data/Technology Smart Sensor Integration Smart Apps Smart Data Management Smart Platforms 6

7 Smart Sensor Integration Better Integration of Sensor Technology 7

8 Crowdsourced Data in Laubach Engaging citizens to better manage urban environments Collect crowdsourced information on: Tree & shrub maintenance Road signs Streetlights Street cleaning Pot holes Waste removal 8

9 Data Processing & Analysis Cloud Based Solution Process Analyze Download App Generate Work Order 9

10 Smart Apps Using Smart Apps for Faster and Better Decision Making 10

11 What Are Smart Apps? Automated Workflows that Create an Information Product Bring Geospatial Disciplines Together Replace/augment desktop product workflows with Automated Apps 11

12 Automated Apps Use Automated Processing Chains to Create Information Products 12

13 Data to Information Product How Does It Work? Expert Creates App Apps Publishes App to Library of Apps On Cloud Platform Client Subscription Runs App & Query for New Map App Accesses Data and Creates Information Product 13

14 Smart App Example: Automatically Calculate Impervious Surface Layers Producer Suite Automatically Detect Hard Surfaces From City Data Aerial Photos Raw Data Parcel Data Create Automated Process Discover Actionable % hard surfaces Information per Lot (Parcel) 87m 2 ERDAS IMAGINE GEOMEDIA 101m 2 IMAGESTATION Objective: To create an automated app to easily calculate the hard surface area (Impervious Layers) from existing imagery data to assist in determining Storm Water User Fees 14

15 Smart App Example: Zonal Change Detection 15

16 Smart Data Management Creating Smart Connections with People to Share and Engage 16

17 Data Management Platform Catalog Raster, Vector, and Point Cloud Data, plus more. What data do I have? Sensor Data Aerial, Satellite, LiDAR, Full Motion Video, GPS, etc. Location References in Structured Data Relational Databases, Travel Itineraries, Financial Transactions, Corporate Data, Personnel Records, Statistical Data, etc. Access from Any Device Desktop, Laptop, PDA, Wireless, Smartphone Geospatial Data Maps, Imagery, Features, Terrain, Place Names, Buildings, Infrastructure, Roads, Political Boundaries, Hydrographic, Geodetic, etc. Location References in Unstructured Data News Reports, Publications, Manifests, Internet, World Wide Web, Audio, Video, etc. 17

18 Share Data 18

19 Provide Data & Apps To Engage Users Server-side geoprocessing (WPS & REST) 19

20 Disseminate - Big Data Made Small The World s Largest Geospatial Image? A single aerial image covering 20cm GSD 3,210,000 px by 4,340,000 px Big Data Made Small 38,000gb Uncompressed 50,000gb with image pyramids 875gb ECW Compressed 370,000 source files 1 ECW file 20

21 Smart Platforms Creating Smart Connections Using Smart Platforms 21

22 Provide the capability to transform multi-source content into dynamic information and disseminate it anywhere it is required Combine Content with Apps

23 Example: Cloud Architecture Collection of of Collection services services of services Collection of of Collection services services of Apps Enterprise Data Web-based Authoring Desktop-based authoring of operators and models Drag & drop client builder tool Enterprise Users 23

24 Example: Native as a Service Streaming Products and Apps to your desktop/device from the Cloud, while keeping your data local. 24

25 Technologies For The Smart City Smart City Sense Capture Data from Sensors Understand Process, Analyze and Visualize Data Decide Management, Disseminate / Communicate Sense Understand - Decide SENSOR REAL World Events Process Analyze Visualize DIGITAL World Models Communicate 25

26 Bringing Smart Cities to Life Involves

27 Questions?