1 / 21

GGS 685 Capstone Part IV: Data Delivery System

Charles Chung Caleb Gaw Justin Miller 8 November 2010. GGS 685 Capstone Part IV: Data Delivery System. DC First Response Geo-Spatial Data Network (DCFRGSDN).

taran
Télécharger la présentation

GGS 685 Capstone Part IV: Data Delivery System

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Charles Chung Caleb Gaw Justin Miller 8 November 2010 GGS 685 CapstonePart IV: Data Delivery System

  2. DC First Response Geo-Spatial Data Network (DCFRGSDN) A geospatial data service that can integrate strategic DC city information with remotely sensed data, National/Local government agency generated data as well as local user generated data, with the capability to rapidly export and display for the purpose of adding the response of DC First Response Units for any situation.

  3. DCFRGSDN Strategic Level • Provide all necessary Data for: • DC Threat Level monitoring • Natural Hazards Support System • Multi-Agency Coordination • Strategic Resource Management Tactical Level • Provide all necessary Data for: • Incident reporting and monitoring • Rapidly assessing availability and capability of First Response Units /Resources • Assist in the ability to assigning individual units /resources • Coordinate response with various agencies / individual units

  4. End User / Data Needs Strategic • Threat Level • Agency Reports • Current/Historic Terrorist (Threat) Activity • Natural Hazards • Identification • Response Planning; Routing • DEMs for Flood Predictions; Current Weather; Weather Predictions • Infrastructure analysis; Road network availability; Damage Assessment • Strategic Resources • Manage resources across all levels • Facility and Unit Resources • Strategic Medical Resources, CDC… • Multi-Agency Coordination • Ability to see resources across all levels for planning and assigning response unites

  5. End User / Data Needs Tactical • Network Analysis • Where am I; Where is the incident; How do I get there. • Nearest Facility Analysis • What facilities are nearby, what is their current status, how do I get to them • Ex: Where is nearest hospital and do they have the appropriate staff available. Is there an alternative hospital? • Resources/Units • What recourse have been assigned, their status, their condition, their location, their expected time-on-station • Which Police officer has been assigned; Which ambulance is in route; Which Fire Truck has the ability to handle chemical fires and were are they, and how long will it take them to get here… • Resource Conditions. (i.e. Fire hydrants or Vehicles) • Time/Status • Current reports, progress analysis, expected time-line analysis • Reporting Up vs. Assigning Down • Police reporting a traffic violation vs. 911 Dispatcher Assigning Local Fire Truck • Incident Reporting and ID'ing • Agency Dispatch Centers, 911 Call Centers, Field Unites, Facilities, Local Users (YouTube, Twitter, Smart phone apps) • Current Conditions • Weather, Road closers, Bridge repair, Power outage, Utility capabilities • Land Information • Land parcels and ownership, conditions, vegetation, geological makeup, permitting and zoning • Other • Flexibility to add data per situational demands

  6. End User / Data Display Requirements • Flexibility • User can choose what data is displayed per individual user requirements (Fire Station Vs Police Unit vs. FBI Anti-Terrorism Unit) • Rapidly Displayed • Rapidly Updated • Ability to Quickly Search the Database • Necessary Data vs. Too Much Data • Display only data necessary unless the user requests more information • I want to see all current fire incidents and their status in DC and what fire trucks have been assigned to them, but I don’t care--at this time--what hospitals have beds available, or what terrorist threats are current in DC…

  7. Data Collection

  8. Agencies • Data Input and Users • Police • Fire and Emergency Medical Services • Office of Unified Communications • Hospitals • DDOT • FEMA • Utility Companies • And more • Users • FBI • CIA • NSA • Military • DoD • And more

  9. IMINT and OSINT • Imagery of DC • Traffic Cameras • YouTube • Videos and Images from News Stations • Current and future weather conditions • GIS data (shapefiles)

  10. Car #3567 Driver: Joe Smith Partner: Jack Miller Action: Traffic Stop Vehicle Camera District: 1 PSA: 103 Violation: Speeding Car VIN: 1HCGC637VQ3C46UZW Driver: Bob Shmoe Truck #14 Action: Industrial Fire Crew: Jace McMillan Justin Irwin ……… ……… Truck Camera Battalion: 4 Station: 23

  11. Recommendation • Smartphone app that allows a video or picture to be sent straight to the 911 center.

  12. Simulation Hospital: GWU Beds Open: 234 Car #3567 Driver: Joe Smith Partner: Jack Miller Action: Responding to Emergency #361 Vehicle Camera District: 1 PSA: 103 Ambulance # 14 Status: Responding to Emergency #361 Driver: Jim EMT 1: Joe EMT 2: Bob Injured: Other: Emergency ID: 361 Situation: Shots fired. One person reported injured. Status: Emergency Caller: Jane Doe Caller Phone Number: 202-635-1482 Caller Video/Image: Yes Time: 19:45 Date: 11/7/2010

  13. Simulation Cont. Hospital: GWU Beds Open: 232 Ambulance #14 Route Distance: 0.6 mi ETA: 00:01:26 Ambulance # 14 Status: Transporting shot victim Driver: Jim EMT 1: Joe EMT 2: Bob Injured: Elizabeth Other: Police officer, Jack Miller Car #3567 Driver: Joe Smith Partner: Jack Miller Action: Investigating Emergency #361 Vehicle Camera District: 1 PSA: 103 Emergency ID: 361 Situation: Shots fired. One person reported injured. Status: Under Control Caller: Jane Doe Caller Phone Number: 202-635-1482 Caller Video/Image: Yes Time: 19:45 Date: 11/7/2010

  14. Data Management of DCFRGSDN DCFRGSDN Data Integration Data Publishing

  15. Data Integration: Geospatial Metadata • Metadata generally captures • Who What When • Where Why How • Benefits: • Helps to identify what the data is about before opening the data. • Helps to search the data faster. • Ensures data are understood and properly used by users • Interoperability • Manage the data efficiently. • ISO 19115 • Example: • NITF (National Imagery Transformation Format) is a DoD and FIC suite of standards for the exchange, storage, and transmission of digital-imagery products and image-related products. metadata + Raster metadata + Vector metadata + Video

  16. Data Publishing: OGC Compliant Services • Publish the following services to support first responders and their agencies. • Metadata Catalog Service: • To discover, browse, and query metadata about data, services, and other potential resources. • OpenGIS Location Service (OpenLS): • To support mobile devices through the mobile network and utilizing the ability to make use of the geographical position of the mobile device. • Keyhole Markup Language (KML): Google Map and Google Earth • Web Map Service (WMS) & Web Feature Service (WFS) • To support any client application (ArcMap, Web Based Application, and etc.) that can consume WMS & WFS. • Other bigger GIS system can consume OGC compliant services.

  17. Data Flow KML OpenLS DCFRGSDN WFS WMS

  18. OGC Services DCFRGSDN Query OpenLS Metadata Catalog Service KML OpenLS KML WFS WFS WMS WMS

  19. How first responders ingest and access the data? Police Dispatch Center 2 Ingested to 3 DCFRGSDN 4 Calls in 1 4

  20. Recommendations ESRI ArcGIS Server SPADAC –EarthWhere Google Earth Enterprise Server NASA - WorldWind Apply multilevel security (MLS) application to restrict accessing data based on needs-to-know.

  21. Conclusion Standardizing sources from many providers. Front analysis and pre-process of the data. Massive amount of data  massive amount of users through multiple types of platform. Need to consider bandwidth issues  Dedicated carrier service Dedicated GIS team to support extra help upon request.

More Related