3D MAPPING FORUM. Introduction to Modeling and Simulation in Real-Time 3D ArcGIS. Morakot Pilouk, Ph.D. Senior Software Developer/Consultant

Transcription

1 3D MAPPING FORUM Introduction to Modeling and Simulation in Real-Time 3D ArcGIS Morakot Pilouk, Ph.D. Senior Software Developer/Consultant

2 Source:

3 Source:

4 Outline Modeling and Simulation - Modeling - Simulation ArcGIS Supporting Technologies - Real-Time GIS - ArcGIS 3D

5 Modeling and Simulation A discipline based on - Computer Science, Systems Engineering, Software Engineering, Artificial Intelligence, and more Means different things to different people In this context: - Aspects relating to space and time

6 Modeling and Simulation Life Cycle Simplify Modeling Real World Context Conceptual Model Refinement Validate Implement Result Computer Model Execute Simulation

7 Modeling

8 Modeling The purposeful abstraction of reality - resides on the abstraction level The formal specification of - a conceptualization - assumptions - constraints

9 What is a Model? Relating to 3D - Oxford: - A three-dimensional representation of a person or thing or of a proposed structure, typically on a smaller scale than the original - Webster: - A miniature representation of something Relating to Behavior or Process - Oxford: - A simplified description, especially a mathematical one, of a system or process, to assist calculations and predictions - Webster: - A system of postulates, data, and inferences presented as a mathematical description of an entity or state of affairs

10 A Model A representation of some key aspects of the subject Captures the essential aspects of the subject May not represent other aspects well May have some simplifications or generalizations

11 Model Examples Schematics diagram of a physical network - Simplified/generalized - Misrepresents some aspects, e.g. distances, locations - Captures the connectivity

12 Model Examples Mathematical models See:

13 Model Examples Physical models A 3D printer See:

14 Model Examples Terrain Model

15 Model Examples Solid Terrain Modeling ( Sand Table by Simtable (

16 Model Examples Touch table 3D Topographic Map Table by Applied Minds and Northrop Grumman

17 Model Examples Vehicles Human figures Plants

18 Acquiring Digital Models Digitizing/Scanning - LiDar - Sonar - Manual Digital Sculpting Automatically generated - Stereo fusion - Procedural Motion Capture:

19 Model Behaviors Controlled by human - using input from hardware Controlled by software a model may be controlled by other models - Artificial Intelligence - Mathematical model (e.g. Physics model)

20 Simulation

21 Simulation An execution of a model over time Resides on the implementation level

22 Why using Simulations Are cheaper and safer than - Actual exercises - Physical prototypes Are more realistic than traditional experiments Can be conducted faster or slower than real time Allow setting up a coherent synthetic environment

23 Simulation Advantages Players can practice in a safe, protected environment Players can interact among one another Players may be: - Human, computer controlled or mixed Observers can observe without distracting the players Supervisors can assist, guide, assess Scene/scenarios can be selected or adjusted - Supports what-if Repeatable Comparable - E.g. compared with previous runs

24 Elements of Simulation Process - weather, traffic, lighting, wind Procedure - steps of operation Subject - things to practice on Source: Meller G. A typology of simulators for medical education. J Digital Imaging, 1997 Aug: 10

25 Type of Simulators Passive - Provides element of realism scene decorators, base-map Active - Elements change over time - Changes driven by: - Sequence of snapshots - Calculations - Combination of the above (e.g. tweening, dead-reckoning, interpolation) Interactive - Elements change in response to player, e.g. agent-based, AI

26 Fidelity of Simulation Low fidelity - Simple simulation - Individual player - Involves only a few elements - Focus on specific subject High fidelity - Complex simulation - Involves many elements, passive, active, and interactive - Involves many subject matter experts - Involves many players Adapted from:

27 Collecting Data for Simulation Project Too many data points will overload the system - Poor performance - Require hardware sizing adequately - NVIDIA Quadro K6000 with cores, $4, Storage capacity - Data communication bandwidth Sparse data points - Reduce fidelity of the representation and simulation - Not enough realism

28 System Components

29 Inputs Keyboard Mouse Touch screen Joystick Steering wheel Weapon interface Eye/head tracking Motion/Gesture - Kinect - Leap Motion - Myo Armband Microphone

30 Inputs IoT Sensors Air quality airqualityegg.com Atmospheric Pressure pressurenet.io CO2 Temperature Humidity Light Sound

31 Outputs 3D Visualization - Head-mounted Display - Monitors - Projectors - Hologram 3D Sounds - Speakers, headphones Haptic Scent Air flow

32 Integrated Inputs and Outputs

33 Environment/Platform Touch table Sand table CAVE - Northrop Grumman VIPE Holodeck Source: Source:

34 Software Components Modeling - Scene/Environment authoring - 3D base-maps - Behavior control simulation engine - Repast/ArcGIS Agent Analyst - NetLogo/AgenScript - Swarm - Agent-based Modeling (ABM) - Data logger/recorder Real-time analytics - Geofencing - Trigger - Alert -

35 Data Communication Communication protocols - Distributed Interactive Simulation (DIS) IEEE High Level Architecture (HLA) IEEE Test and Training Enabling Architecture (TENA) - Real-time data streaming - Positions - Orientations - States Messaging Time synchronization ArcGIS Server GeoEvent Extension Update a Feature Add a Feature feature layers Map Services Feature Services Stream Services EGDB Polling (Pull) Your Applications Send Features to a Stream Service Feature Layer Stream Layer

36 Simulation Authoring Unit/Track creation - Unit catalog - Map/Scene - Drag and drop unit onto map - Track authoring - Unit type - Terrain factor, e.g. elevation, slope, type of ground cover Track playback tool Tracks orchestration - Timeline placement - Time synchronization Simulation recording tool

37 Questions and Answers

38 Selected 3D Sessions 3D Analysis: An Overview - Tue 7/21/ :30 AM - 09:45 AM Room 10 - Thu 7/23/ :30 AM - 09:45 AM Ballroom 06 E 3D Cartographic Techniques: An Introduction - Tue 7/21/ :30 AM - 09:45 AM Room 31 B - Thu 7/23/ :15 PM - 04:30 PM Room 17 A Creating 3D Campuses - Tue 7/21/ :15 PM - 04:30 PM Room 14 A 3D Analyst: An Introduction - Wed 7/22/ :30 AM - 09:45 AM Room 02 ArcGIS API for JavaScript: Building 3D Web Apps - Wed 7/22/ :30 AM - 09:45 AM Room 10

39 Selected 3D Sessions Working with 3D Analyst and CityEngine - Wed 7/22/ :30 AM - 09:45 AM Room 14 A ArcGIS for 3D Cities: An Introduction - Wed 7/22/ :30 PM - 02:45 PM Room 15 A - Thu 7/23/ :30 PM - 02:45 PM Room 05 B Advanced workflows for creating 3D Web Scenes in ArcGIS Online - Wed 7/22/ :15 PM - 04:30 PM Room 14 B Sharing 3D Content on the Web - Wed 7/22/ :15 PM - 04:30 PM Room 15 A

40 Real-Time GIS Sessions Real-Time GIS: GeoEvent Extension - Tue 10:15-11:30am, Room 17 A - Wed 10:15-11:30am, Room 14 B Real-Time GIS: Leveraging Stream Services - Tue 8:30-9:45am, Room 01 A/B - Wed 8:30-9:45am, Ballroom 06 D Real-Time GIS: Applying Real-Time Analytics - Tue 10:15-11:30am, Room 15 B - Wed 8:30-9:45am, Room 14 B Real-Time GIS Use Cases and Implementation Patterns - Tue 2:30-3:15PM, Demo Theater 6 - Geodata ArcGIS Intelligence: Discern Activities of Interest through Advanced Analytics - Wed 10:15-11:30am, Omni Ballroom A/B Real-Time GIS: The Road Ahead - Wed 1:30-2:45pm, Room 14 B Real-Time GIS: Best Practices - Thu 8:30-9:45am, Room 14 B Real-Time GIS for Asset Readiness, Event Preparation, and Intervention - Thu 8:30-9:45am, Room 29 C

41