SAME Mission“To lead collaborative efforts to identify and resolve national security infrastructure-related challenges.”

2019 SAME Southeast Tri-Regional Joint Engineer Training Symposium Date: June 26-28, 2019

Location: Savannah, Georgia

MONITORING CURRENT INFRASTRUCTURE AND FUTURE

ASSETS WITH AUTONOMOUS MANAGEMENT TECHNOLOGY

Leveraging emerging technologies to increase efficiency and enhance decision making

MAY 2019

B O O Z A L L E N H A M I L T O N I N T E R N A LFuture of Asset Management:

Autonomous Infrastructure Management (AIM)

B O O Z A L L E N H A M I L T O N I N T E R N A L

Chief Engineer for Advanced Infrastructure Solutions providing services to Defense, Civil, and Commercial business sectors

Troy GonzalezBooz Allen Hamilton

Glady SinghPrecisionHawk

Vice President of Government/Enterprise Services at PrecisionHawk, where she works with enterprise clients to adopt UAV technology to optimally manage their infrastructure portfolio and test new UAV technologies.

Richard P. WagenaarBooz Allen Hamilton

Senior Lead Technical Specialist supporting the Army Infrastructure market with a focus on the company’s program with the US Army Corps of Engineers (USACE)

B O O Z A L L E N H A M I L T O N I N T E R N A L

AIM OVERVIEW AND DESIRED OUTCOMES

DATA CAPTURE, ANALYTICS, VISUALIZATION

AIM SERVICE OFFERING OVERVIEW

USE CASES

CURRENT PROJECTS

Q&A?

AGENDA

B O O Z A L L E N H A M I L T O N I N T E R N A L

Learn about the impact of live sensor data and how monitoring asset health will prevent cascading failures.

DESIRED OUTCOMES OF AIM

Evaluate how technology infusion is not a one-size-fits-all—how do you tailor technology enhanced solutions for facilities, envir. and mission-based infrastructure challenges

Learn how using unmanned data capture systems and an interactive platform will reveal insights necessary for large scale decision making

Change the way you look at data management tools used for infrastructure planning and decision making

New Management Tools Use of Live Sensor Feeds Implementation of UAV’s Catered Solutions for Client

B O O Z A L L E N H A M I L T O N I N T E R N A L

STEP 1: DATA CAPTURE METHODSAutonomous Robotic Platforms AUTOMATED, CONTINUOUS, AND SECURE

AVAILABLE PLATFORMS

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GROUNDAERIAL HAND HELD

Los Angeles, California San Francisco, California Washington DC

B O O Z A L L E N H A M I L T O N I N T E R N A L

DATA CAPTURE TYPESRemote Sensing BEYOND HUMAN CAPABILITY

DATA CAPTUREBEYOND HUMAN CAPABILITY

This document is confidential and intended solely for the client to whom it is addressed.

PHOTOGRAMMETRY

• Accelerated Condition Assessment

• Enhanced Vision

• Engineering Grade Measurement

APPLICATIONS• 3D Model Design

• Measurement

• Volumetric Calculations

APPLICATIONS

Photogrammetry leverages Red Green Blue (RGB) sensors to generate photos to provide a 3D environment

Light Detection and Ranging (LiDAR) uses light to generate point clouds for engineering grade analysis

• Energy Analysis

• Leak Detection

• Component Analysis

APPLICATIONS

Infrared imagery provides a capability to view temp. differentials not available with the human eye

LiDAR

Acoustic and vibration data collection enables real-time performance evaluations of facility components

APPLICATIONS

• Component Performance

• Diagnostic of Issue

• Predictive Analytics

THERMAL ACOUSTICS

B O O Z A L L E N H A M I L T O N I N T E R N A L

STEP 2: ANALYTICSAdvanced Artificial IntelligenceAUTOMATE WORKFLOWS AND ACCELERATE ASSESSMENTS

DATA ANALYSISAutomate workflows and accelerate assessments

This document is confidential and intended solely for the client to whom it is addressed.

AI (OBJECT DETECT)

• Condition and Inventory

• Enhanced Vision

• Accelerated Workflow

APPLICATIONS• Automated Inspection

• Accelerated Measurement

• Improved Detection

APPLICATIONS

Object detection allows for accelerated inventories and enhanced condition assessments

Automated inspection provides a preprogrammed analysis or workflow to be performed

Real-time sensor analytics enables automated analysis of critical infrastructure

APPLICATIONS

• Component Performance

• Diagnostic / Predictive Analytics

• Energy Analysis

SENSOR ANALYTICS AI (AUTOMATED INSPECT)

B O O Z A L L E N H A M I L T O N I N T E R N A L

STEP 3: VISUALIZATIONSIMULATE AND EXPLORE TO ENHANCE DECISION MAKING Connected Visualization

DATA VISUALIZATIONSimulate, explore, and enhance decision-making

This document is confidential and intended solely for the client to whom it is addressed.

• Operational Support

• Enhanced Vision

• On-site Training

• Live or Video Playback Support

• Hands-Free Applications

APPLICATIONS• Education and Readiness

• Testing and Evaluation

• Advanced Analysis

• Operations Support

• AI Testing and Training

APPLICATIONS

Virtual Reality creates a physical environment that you may not be able to experience in real life

Augmented reality brings data into the physical environment in real-time

MIXED MEDIA

• Stakeholder Buy-in

• Hyper Realistic Training

• Interactive Modeling

• Enhanced Learning

• Planning and Design

APPLICATIONS

Mixed reality brings virtual objects into the real world for enhanced discovery

VIRTUAL REALITY AUGMENTED REALITY DIGITAL TWIN

• Modeling and Simulations

• Theming/ Coding

• Touring

• Enhanced Planning

• Strengthened Design

APPLICATIONS

Digital twins connect enterprise data and 3D models for simulation

B O O Z A L L E N H A M I L T O N I N T E R N A L

AUTONOMOUS INFRASTRUCTURE MANAGEMENT (AIM) S E R V I C E O F F E R I N G O V E R V I E W

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AUTONOMOUS INFRASTRUCTURE MANAGEMENT (AIM)VISUALIZE INSIGHTS AT EVERY LEVEL OF YOUR ENTERPRISE

Investment Simulation• Investment Simulation• Risk Profiles • Recapitalization Modeling • Automated Inspection • Automated infrastructure Ops• Preemptive Maintenance • Rapid Energy Modeling • Automated Resilience Planning• Logistics• Master Planning

COMPONENT LEVEL

CAMPUS/FACILITY LEVEL

INTEGRATEDDIGITALSOLUTIONS

PORTFOLIO LEVEL

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ENTERPRISE / PORTFOLIO MODELING

CURRENT INVESTMENT PROFILE PRIORITIZED INVESTMENT PROFILE

INSTALLATIONS HEALTH ASSESSMENTPORTFOLIO INVESTMENT STRATEGY AND SIMULATION

Bldg. 435Peterson AFB

17This document is confidential and intended solely for the client to whom it is addressed.

INSTALLATION / CAMPUS MODELING

This document is confidential and intended solely for the client to whom it is addressed.

COMPONENT / SUBCOMPONENT MODELING

COMPONENT ANALYSIS

CAPACITOR DEGRADATION

This document is confidential and intended solely for the client to whom it is addressed.

COMPONENT / SUBCOMPONENT MODELING

COMPONENT ANALYSIS

CAPACITOR DEGRADATION

B O O Z A L L E N H A M I L T O N I N T E R N A L

USE CASES

USE CASE: VETERANS AFFAIRS WEST LA CAMPUS IMAGERY CAPTURE (LIDAR, RGB, THERMAL)

SOLUTION: INTEGRATED VEHICLE-BASED AND DRONE IMAGERY AND APPLIED AI TO BASELINE TREE SPECIES

BASELINE FOR AUTONOMOUS ASSESSMENT

ELEVATION VIDEO LOCATION-BASED

LiDAR (WEST LA CAMPUS, CALIFORNIA-380 ACRES)

o Roof Assessments

o Road Assessments

o Natural and Cultural Resource

Studies

o Facility and Utility Assessments

USE CASE: VETERANS AFFAIRS WEST LA CAMPUS PAVEMENT BASELINE FOR ENVIRONMENT IMPACT STATEMENT

SOLUTION: COMBINED DRONE IMAGERY WITH ARTIFICIAL INTELLIGENCE TO AUTONOMOUSLY ASSESS CONDITION REAL-TIME

AUTONOMOUS PAVEMENT CONDITION ANALYSIS

o AUTOMATED USACE PAVEMENT CONDITION INDEX ALGORITHMS

o LEVERAGE DRONE CAPTURE IMAGERY RGB AND LIDAR TO ACCELERATE DATA CAPTURE

o EFFECTIVELY PROVIDED INCREASED ACCURACY AND A COMPREHENSIVE ASSESSMENT AS COMPARED TO TRADITIONAL METHOD USING SAMPLE DATA SET

22SERIOUS

VERY POOR

POOR

Vector: Maintenance

USE CASE: VETERANS AFFAIRS WEST LA CAMPUS CULTURAL AND NATURAL RESOURCE BASELINE (ENVIRONMENTAL IMPACT STATEMENT)

SOLUTION: INTEGRATED VEHICLE-BASED AND DRONE IMAGERY AND APPLIED AI TO BASELINE TREE SPECIES

AUTONOMOUS TREE SPECIES ASSESSMENT

o IDENTIFICATION AND INVENTORYING CRITICAL ENVIRONMENTAL INFRASTRUCTURE (E.G., WETLANDS, FLORA/FAUNA, AND CULTURAL RESOURCES)

o INCREASED QUALITY AND PROVIDES A DIGITAL RECORD OF THE INVENTORY

o THE TECHNOLOGY INFUSED METHODOLOGY 60% MORE EFFICIENT THAN TRADITIONAL METHODS WITH ENHANCED MEASUREMENT CAPABILITY

USE CASE: NATIONAL PARK SERVICE FACILITY CONDITION ASSESSMENT

SOLUTION: APPLIED CUTTING-EDGE RAPID ASSESSMENT CAPABILITY USING REAL-TIME DATA CAPTURE AND ARTIFICIAL INTELLIGENCE

ACCELERATED FACILITY CONDITION ASSESSMENTS

o TOTAL FACILITY CAPTURE WITH LIDAR AND 360°VIDEO PROVIDES A LOCATION-BASED DATASETFOR REMOTE ASSESSMENT

o WITH A 100M RANGE, THE ADVANCED SCANNING CAPABILITY IS 15X FASTER THAN TRADITIONAL TRIPOD SCANNING RESULTING IN COLORIZED POINT CLOUD FILES

o DATA CAPTURE IN 60% LESS TIME, WITH ADDED POWERFUL VISUALIZATION, AND ENGINEERING-GRADE ACCURACY

LOCATION-BASED INTERIOR THERMAL

EXTERIOR (INDIGO LANDING FACILITY, ALEXANDRIA, VA)

AUTOMATED F ACILITY CONDIT ION

ASSESSMENTS NATIONAL PARK SERVICE

CHALLENGE: COSTLY DUE TO SPECIALIZED, MANUAL, AND REPETITIVE PROCESSES.

SOLUTION: AUTOMATION PROVIDES COST SAVINGS, HIGHER ACCURACY, AND CONTINUOUS MONITORING OF AGING INFRASTRUCTURE

o GREATER INSIGHTS VS TRADITIONAL SURVEY

o ABILITY TO INTEGRATE DATA INTO BIMo IMPROVE THE ACCURACY OF SCOPE,

SCHEDULE, COSTo DATA CAPTURE IN 60% LESS TIMEo ENGINEERING-GRADE ACCURACYo 5 TO 7 TIMES LESS EXPENSIVE THAN

INDUSTRY SQ. FT. COSTSo PROVIDES DIGITAL BASELINE

AUTONOMOUS FACILITY CONDITION ASSESSMENT USING LiDAR and ARTIFICIAL INTELLIGENCE

Detect and Read text on asset nameplate

Nameplate recognition for Android Application

Image segmentation models detect and identify assets within 360°imagery

OUTPUT Asset ID: Fluorescent Lighting Phillips T8

Asset Condi on Index: 46

OUTPUT Model Number:

BB1600

Serial Number: 405930-102006

RAPID AIRF IELD DAMAGE ASSESSMENT AND REPAIR

(RADAS)

CHALLENGE: CURRENTLY ASSESSES PAVEMENT POST-DAMAGE USING BOOTS-ON-THE-GROUND AND MANUAL ASSESSMENT TECHNIQUES

SOLUTION: THE RADAS PROGRAM CAN REALIZE GREAT EFFICIENCIES AND INCREASES IN SAFETY THROUGH UNMANNED SYSTEMS AND ARTIFICIAL INTELLIGENCE. THE DATA TO TRAIN AN ARTIFICIAL INTELLIGENCE MODEL TO IDENTIFY CRATERS AND UXO IS DIFFICULT TO OBTAIN. VIRTUAL REALITY ALLOWS AI TO BE TRAINED ON SYNTHETICALLY CREATED BUT ACCURATE DATA.

TRAINING ARTIFICIAL INTELLIGENCE USING SYNTHETIC DATA BUILT IN VIRTUAL REALITY

Adversarial AI Training Data Set

Airfield AI Training Data Airfield Reconfiguration

ADVANCED RAPID ENERGY MODELING

AIR FORCE RESEARCH LABS

Visualize Energy Infrastructure Baseline• ENERGY GRID LAYOUT, TRANSMISSION LINES, UTILITY

LINES, NATURAL GAS LINES• IDENTIFY ALL GENERATOR, METER, AND TRANSFORMERS

LOCATIONS

Assess Energy Consumption, Supply and Resilience• USAGE, VOLTAGE, STORAGE, COST FOR EACH ENERGY

ASSET • PROJECT TIMELINES AND IMPACTS

Model and Simulate Alternative Scenarios

• USING AN ‘N-1’ ANALYSIS, 97 OF 8408 NODES (OR ELECTRICAL JUNCTIONS) ON A SINGLE INSTALLATION WERE IDENTIFIED AS ‘SINGLE-POINTS OF FAILURE’, WHERE ONE OR MORE FACILITIES DEPENDED ON THAT NODE TO REACH A SUBSTATION WITHOUT AN ALTERNATIVE ROUTE TO A POWER SOURCE.

• THIS ANALYSIS CONSISTED OF OVER 9.8 MILLION RECURSIVE CALCULATIONS. IF EACH MANUAL CALCULATION TOOK JUST 5 SECONDS, IT WOULD TAKE A PERSON OVER 4 YEARS (365 DAYS A YEAR) TO IDENTIFY EVERY ‘CRITICAL NODE’ ON THE INSTALLATION’S GRID.

FLOOD MODELING SIMULATE ALTERNATIVESENERGY MODELING

Demonstration

B O O Z A L L E N H A M I L T O N I N T E R N A L

QUESTIONS?