Workforce Mobility Through Augmented Reality The Next Level in the Enhanced Worker Information Platform Technology
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1 Workforce Mobility Through Augmented Reality The Next Level in the Enhanced Worker Information Platform Technology John J. Simmins Technical Executive Norman McCollough Technical Leader ICT Informational Webcast February 26, 2015
2 Contents Technologies Augmented Reality Wearable Computers CIM GIS Context Awareness Field Tests Findings Future Research 2
3 Augmented Reality You really are familiar with this 3
4 4
5 Industrial Examples of Augmented Reality 5
6 Wearable Computers Key Enablers 6
7 Example Platforms 7
8 Advantages of Wearable Computers Hands free Works with PPE Unobtrusive Disadvantages Requires getting used to. Risk 8
9 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 9
10 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 10
11 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 11
12 Data Visualization - Maps 12
13 Data Visualization Augmented Reality 13
14 Example of Functionality Augmented Reality 14
15 Example of Functionality Augmented Reality 15
16 Common Information Model The secret of this technology. 16
17 The Common Information Model for Electric Utilities What is it? Common Information Model High quality model of utility operations information Used for: Network Model Exchange Application Interfaces Model-Driven Integration International Electrotechnical Commission (IEC) Standard Referenced / supported by other entities Essential to the Smart Grid It s all about effective data sharing 17
18 The IEC Standards Most of the Attention A subset of the IEC 61970/61968 series of standards: semantic model describes the power system distribution-specific extensions to the core CIM Common Power System Model (CPSM) network operations work management customer support meter reading and control Common Distribution Power System Model (CDPSM) MultiSpeak message specification for meter reading and control 18
19 What is your view of the enterprise? Gateway MDMS OMS WMS Enterprise Integration DMS GIS DERMS DRAS Meters, Switches, Capacitors, Regulators SOLAR BATTERY PEV 19
20 GIS Context Awareness Who are you? What are you trying to do? 20
21 GIS Context Awareness Login who, role? Where you are determines what you can do. Guided directions. Opportunity for more AR 21
22 Field Test Results Version 2 22
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36 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 36
37 Future Research The best is yet to come. 37
38 Where are we going? Asset identification Wearable computers Wearable sensors Links to other data Supplemental projects 38
39 Goals Phased approach to pilots 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 39
40 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 40
41 Together Shaping the Future of Electricity 41
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