Post on 29-May-2020
© 2015 Electric Power Research Institute, Inc. All rights reserved.
John J. Simmins
Technical Executive
Norman McCollough
Technical Leader
ICT Informational WebcastFebruary 26, 2015
Workforce Mobility Through Augmented
RealityThe Next Level in the
Enhanced Worker Information Platform
Technology
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Contents
Technologies– Augmented Reality– Wearable Computers– CIM– GIS Context Awareness
Field TestsFindingsFuture Research
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Augmented Reality
You really are familiar with this…
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Industrial Examples of Augmented Reality
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Wearable Computers
Key Enablers
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Example Platforms
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Advantages of Wearable Computers
Hands freeWorks with PPEUnobtrusiveDisadvantages
– Requires getting used to….– Risk
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Wearable Computer Vendors
Defense LiteEYE Optinvent Lockheed Martin Kopin SBG Labs Epson Rockwell Collins Silicon Micro Display Osterhout Design Group Google Trex Enterprises Microsoft MicroVision Recon Instruments Six-15 Technologies Scalar Physical Optics Corp Brother Innovega Sony ARA Oakley Silicon Micro Display Laster Technologies Thales Visionix
Commercial Optinvent Lockheed Martin Kopin SBG Labs Epson Rockwell Collins Silicon Micro Display Osterhout Design Group Google Trex Enterprises Microsoft MicroVision Recon Instruments Six-15 Technologies Scalar Physical Optics Corp Brother Innovega Sony ARA Oakley Silicon Micro Display Laster Technologies Thales Visionix EyeTap Canon Olympus eMagine Samsung MetaView Vuzix Innovega CastAR Lumus Vision GlassUp
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Key Workflow Enablers
Infrastructure & Technology– Comm protocols– High speed networks– Store and forward– Advanced analytics
Standards– Replace existing workflows– Interface with existing back
office systems
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Evolution of Industrial Applications of AR
Guide– Simplest– Largest
Publish– AR married with Web 2.0 tools– Aka “Social AR”
Collaborate– Complex– Future of game based AR
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Data Visualization - Maps
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Data Visualization – Augmented Reality
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Example of Functionality – Augmented Reality
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Example of Functionality – Augmented Reality
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Common Information Model
The secret of this technology.
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The Common Information Model for Electric Utilities –What is it?
Common Information Model
High quality model of utility operations information
Used for:Network Model ExchangeApplication InterfacesModel-Driven Integration
International Electrotechnical Commission (IEC) Standard
Referenced / supported by other entities
Essential to the Smart Grid
It’s all about effective data sharing
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The IEC Standards
A subset of the IEC 61970/61968 series of standards:61970-301 – semantic model describes the power system61968-11 – distribution-specific extensions to the core CIM61970-452 –Common Power System Model (CPSM)61963-3 – network operations61968-6 – work management61968-8 – customer support61968-9 – meter reading and control61968-13 –Common Distribution Power System Model
(CDPSM)61968-14-9 – MultiSpeak message specification for meter
reading and control
Mos
t of t
he A
ttent
ion
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What is your view of the enterprise?
Enterprise Integration
DMS GIS DERMS
Meters, Switches, Capacitors, Regulators
DRAS
MDMS OMS WMS
SOLAR BATTERY PEV
Gateway
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GIS Context Awareness
Who are you? What are you trying to do?
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GIS Context Awareness
Login – who, role?Where you are determines what you can do….Guided directions….
– Opportunity for more AR
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Field Test Results
Version 2
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Current Research Findings
GPS location services can be enhanced Challenges with large data sets Presentation icons scalable Bad GIS data Back-end server correction Use of SDK reduced issues with
AR Define CIM fault message Key fault message to work
request
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Future Research
The best is yet to come….
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Where are we going?
Asset identificationWearable computersWearable sensorsLinks to other dataSupplemental projects
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Goals
Phased approach to pilots Improved efficiency for
mobile work crews Improved safety through
improved situational awarenessReduced work cycle timesDecrease risk by facilitating
interchangeable devices and operating systems
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Benefits
– Creation of a comprehensive plan for implementing wearable computer technology and augmented reality across all sectors of the utility industry.
– Develop an understanding of all mobile workflows and the common and unique data requirements.
– Implement a technologically advanced work management that should: Increase crew safety due to more
accurate, real time data to the field. Enhance both audio and visual
communication to the worker in the field. Provide justification for increased
investment in standards based integration
Enhance the ability to visualize and mentally process large amounts of disparate data from multiple sources in a timely manner Avoiding vendor “lock-in” for the purpose
of visualizing and utilizing data Increase crew efficiencies due to improved
system representation and availability of documentation Lead to methods/processes/procedures
that reduce work order cycle times. Facilitate the dispatch of the right crews
with the right equipment and materials. Improved efficiency for mobile work crews Improved safety through improved
situational awareness Reduced work cycle times Decrease risk by facilitating
interchangeable devices and operating systems
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Together…Shaping the Future of Electricity