IEEE Electrification Magazine - June 2018 - 97

As the project
evolved, it was
shown to be equally
effective for all
infrastructures.

the vision for the system is to
provide a mobile data collection infrastructure independent of cellular
communication if cellular communication were to fail. the system would
deploy mobile data collection architecture that takes advantage of the
efficiencies and features of cellularbased mobile data collection and augment or replace, if necessary, the cellular
data transfer systems with distributed Wi-Fi cloud-based
mobile data transfer points. cloud-based data transfer
points would be designed to run for days, weeks, or
months on low-power, high-efficiency electric generators
and batteries. Data collection and transfer from these Wi-Fi
data transfer points is expected via scheduled surface
transportation or air transportation if necessary to a central command center.

Demonstrating Improvement in System Resilience
to best ensure a coordinated response, gti's situational
awareness project began with in-depth interviews with
representatives from natural gas utilities affected by natural disasters, attending workshops and meetings, reviewing lessons learned, and documenting identified needs for
improving resiliency. a data model was developed that
describes the information to be tracked during a disaster
to enable a natural gas utility to manage and perform its
restoration activities with a much greater understanding
of the situation. the data will also be used to report to all
levels of regulatory authority.
a proof of concept was demonstrated to DHs in 2015
that showed how a fully developed system would assist
natural gas infrastructure operators in exchanging essential status information before, during, and after disasters
with other critical infrastructure operators and government agencies. the strength of gti's solution is the ability
to provide a mechanism that allows all participants in a

1) Road Center-Lines
2) Surface Water
3) Civil Boundaries
4) Building/Structure Footprints
5) Property Parcels
6) Topographic Maps
7) Aerial Photography
8) FEMA Flood Zones
9) River and Stream Flood Gauges
10) Seismic (Earthquake) Events
11) Weather Forecasts and Watches/
Warnings/Advisories
12) Rainfall Totals
13) Rainfall Rates
14) Temperatures

disaster recovery process to understand the progress made during a disaster response. the system also
provides an opportunity for improved
resilience for natural gas infrastructure operators through predisaster
planning, training, and mitigation efforts, followed by more rapid restoration during and after a disaster due to
improved situation awareness, decision support, and information sharing.

USAS Design and Functionality
a usas was designed and developed by building a multilayer gis that combined real-time data from a variety of
public sources with data for a specific disaster event
that was used for demonstration purposes. the public
source data (i.e., historic, real time, and predictive) was
layered to build the system in such a way that the data
could be used as a training system prior to an event to
improve resilience through planning, problem identification, and mitigation. Various types of disasters (e.g., hurricanes, floods, tornadoes, and earthquakes) can be
simulated, providing the opportunity for mock drills and
table-top exercises.
Once an event is identified as pending or imminent,
the system can be used to define the pre-event impact
area. this situational awareness can be used for crew and
resource placement strategies, the identification of critical facilities that may be impacted, and options for response improvement. Once the event begins, the system
is capable of handling input from a wide variety of internal and external sources (e.g., mobile and real-time data
from damage assessment crews, web services, crowd
sourcing, social media, among others) to maintain a current response and restoration status available to all responders to improve overall decision support through an
integrated information sharing and reporting process.

GIS World Model

The Real World

Imagery
Elevation
Transportation
Addresses
Boundaries
Water Features
Survey Control
Your Data

Figure 1. The data types and GIS layering.

	

IEEE Elec trific ation Magazine / J U N E 201 8

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Table of Contents for the Digital Edition of IEEE Electrification Magazine - June 2018

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https://www.nxtbook.com/nxtbooks/pes/electrification_december2017
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