metrics of a system for disaster relief lynne grewe california state university east bay...

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Metrics of a System for Disaster Relief Lynne Grewe California State University East Bay [email protected] Presentation by Funda Erdin

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  • Slide 1
  • Slide 2
  • Metrics of a System for Disaster Relief Lynne Grewe California State University East Bay [email protected] Presentation by Funda Erdin
  • Slide 3
  • Disaster Recovery
  • Slide 4
  • Issues Disaster Incident Definition/Protocol Categories of Data representing Incident Methods of Data Capture Data and Uncertainty Computer Representation Fusion Processes to Reduce Data Size. Storage and Data Distribution Needs Personnel Roles and related Security Needs Data Presentation Communication Needs and Performance Administration and Incident Control Tools
  • Slide 5
  • Previous Work Currently, mostly disaster relief is performed without any computer management tools as shown in images mostly disaster relief is performed without any computer management tools as shown in images Protocols (NIMS/ICS) Describe human interactions not as quantifiable as needed Describe human interactions not as quantifiable as needed Specialized Components Some previous work concentrates on very specific issues (e.g. ambulance routing) Some previous work concentrates on very specific issues (e.g. ambulance routing) C3 related work Command, Control, Communications C3, US military related work, goals are not disaster relief Command, Control, Communications C3, US military related work, goals are not disaster relief
  • Slide 6
  • Slide 7
  • Our System: DiRecT (Disaster Recovery Tool) Visualization Uncertainty Visualization Distributed Infrastructure Communications Application of Mobile Agents Protocol Structure Client Control
  • Slide 8
  • DiRecT Overview
  • Slide 9
  • DiRecT Server EJB components for persistence and business logic EJB components for persistence and business logic JMS and Mobile agents for instant- memoing JMS and Mobile agents for instant- memoing JMS for incident updates JMS for incident updates Oracle database for persistence Oracle database for persistence
  • Slide 10
  • DiRecT Field & Incident Command Clients create a new incident manage multiple incidents request resources, personnel and equipment for a given incident assignment of personnel
  • Slide 11
  • DiRecT Admin Client Activation / Deactivation of incidents Activation / Deactivation of incidents Creation of new personnel, equipment and resources. Assigning personnel to incidents Fulfilling resource requests Purging incidents from the database
  • Slide 12
  • Incident Tracking of victims, personnel Hazardous materials Natural hazards response Search-and-rescue missions Fire control Air, rail, ground, and water transportation accidents Incidents with multiple casualtiesand others. Planned human events, e.g., large crowd gatherings, concerts, etc.
  • Slide 13
  • Incident Creation
  • Slide 14
  • Beginning of Incident
  • Slide 15
  • Incident Data Many kinds of data possible, different operating units (firefighters, police, etc) may want different kinds of data. DiRecTs Data Categories BioTargets (victims) BioTargets (victims) Search Areas Search Areas Equipment Equipment Personnel Personnel Hazards Hazards Imagery Imagery
  • Slide 16
  • Data and Uncertainty Metric Goals Quickly enter in data Capture the essence of the underlying data Allow for longer more narrative (open) forms of data capture optionally. Have quantitative metrics when possible to make visualization easier and storage efficient. Have metrics easily understood by all types of possible users. Have metrics be intuitive when possible.
  • Slide 17
  • BioTarget Data Metrics Capture common data Quantize Capture uncertainties. Data measured: Identity Identity Location Location Health Health Safety Safety
  • Slide 18
  • Biotarget Data Capture Identity
  • Slide 19
  • Location
  • Slide 20
  • Health
  • Slide 21
  • Safety / Status
  • Slide 22
  • Search Area Metrics Represent areas of search (or past search) Typical geometries rectangular, circular Capture uncertainties. Data measured: Geometry size, shape, location, searching or searched Geometry size, shape, location, searching or searched
  • Slide 23
  • Search Area Data Capture Give identity through name Give identity through name Label as searching or searched Give geometry and associated certainty of this
  • Slide 24
  • Equipment Data Metrics Represents various kinds of equipment and resources in the field Could be lots of different kinds of equipment Data measured: Identity, type, location Identity, type, location
  • Slide 25
  • Equipment Data Capture Give identity through name Give identity through name Label Category or type in your own if not listed Location same as biotarget data capture Right screen shows listing of current equipment in Incident.
  • Slide 26
  • Personnel Data Metrics Represents various personnel in the field (firefighters, police, etc). Data measured: Identity, personnel type, location Identity, personnel type, location
  • Slide 27
  • Personnel Data Capture Give identity through name Give identity through name Type indicates unit personnel belongs to. Location same as BioTarget data capture
  • Slide 28
  • Hazard Data Metrics Represents hazards in the scene. Many kinds (fire, water, wind, etc). Data measured: Identity, location Identity, location
  • Slide 29
  • Hazard Data Capture Give identity through name, type, optional description, condition and certainty Give identity through name, type, optional description, condition and certainty Condition scale of 0 to 100 indicating level of containment & severity. 0 is contained/low level problem. 0 is contained/low level problem. 100 is not contained/critical 100 is not contained/critical
  • Slide 30
  • Imagery Data Metrics Represents raw imagery type data collected about incident. Many kinds possible photographic imagery, infra- red, maps, etc. Data is ALREADY quantified Problem here is to register the data against our Incident Visualization Grid so it can be fused. Data measured: File upload, User entered Registration points File upload, User entered Registration points
  • Slide 31
  • Imagery Data Capture Name of image layer Name of image layer Activate layer or not Data file Registration information Specified by user by clicking with mouse on upper- left and lower-left location of image boundaries. Specified by user by clicking with mouse on upper- left and lower-left location of image boundaries. Opacity control Optional description Rotation control
  • Slide 32
  • DiRecT Visualization DiRecT take these data and certainty metrics and performs visualization
  • Slide 33
  • Some Visualization Cues Opaqueness-TransparencyIcons/Glyphs Color (pseudo-coloring or color representation) Brightness/IntensityTexture Atmospheric Effects Adding/Altering Geometry LayersFocus Pop-up textual information AnimationMorphing Time Fading Sounds (volume, key, duration, fade)
  • Slide 34
  • Biotarget Visualization IconicColorTransparencyLocationBloom indicates BioTarget idenity type Indicates combined Health and Safety w/Certainty indicates identity and presence certainty indicates location information indicates location certainty
  • Slide 35
  • Biotarget Color CHCH CSCS ALTERED COLORICON 100 Unchanged RED 50100Unchanged RED 75 Some Uncertainty ORANGE 50 Significant Uncertainty ORANGE YELLOW 00Very Much Uncertain - YELLOW Color of Icon = F(Health,Saftey, Certainty) Red = Max(ColorSafetyR, ColorHealthR) Green =Min(ColorSafetyG,ColorHealthG) This visualization is intuitive. Red alarm/high concern. Green safe Yellow caution/uncertain.
  • Slide 36
  • Example Visualiztion Image, map, BioTargets, Search Areas, Equipment, Hazard and Personnel.Image, map, BioTargets, Search Areas, Equipment, Hazard and Personnel.
  • Slide 37
  • Search Area Visualization Color searching searched searching searchedShapeTransparencyLocation
  • Slide 38
  • Equipment Visualization Iconic &Color Iconic &Color Medical Hazard Water Medical Hazard WaterTransparency Location &Bloom
  • Slide 39
  • Personnel Visualization Iconic IconicTransparency Location &Bloom
  • Slide 40
  • Hazard Visualization Iconic &Color Iconic &Color Water Explosion Chemical Water Explosion ChemicalTransparency Location &Bloom
  • Slide 41
  • Visualization Control Control clutter Better Decisions View only desired data
  • Slide 42
  • Contrast
  • Slide 43
  • Biotarget Biotarget Before Highlight
  • Filter Filter Before Certainty > 60%
  • Slide 46
  • Infometrics basic statistics about Incident. CountSearch Search and highlight for biotargets Health