remember am/fm?
TRANSCRIPT
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AM/FMAlabama Power CompanyDistribution Technology Services
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Sequence of Presentation• Facility Mapping – Renato
• Pole Inspections• UAV
• Automated mapping - Ron– CarryMap to Geospatial PDF - Feeder (sectionalizing) maps
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About Us
Renato Salvaleon Ron Crenshaw
Future retirement trip - ride the FME Space X to Jupiter and back
Ron’s claim to fame – FME Rock Band
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Second largest operating company of Southern Company
Investor-owned, tax paying utility
Close to 7000 employees
1.4 million customers Serves 84 counties of
Alabama’s 100 counties
Alabama Power Company
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AM/FM
Forerunner to GIS for Utilities
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Facility Management
Pole Inspections
- Seven year cycle of pole inspections.- SDE – MDB extracted for vendor – poles only- Division determines priority poles either by 2000 feet square grid or by feeder
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Pre-Inspection Workflow Improvements
Previous workflow• - Five workspaces
running for all feeders – takes a few days
- Feeder & grid prioritization communicated by email
Challenges- Secondary poles and
underground network are not part of the electric dataset
- Reduce the number of workspaces
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Single Workspace
- User prompted, list based parameter to run scheduled feeders
- Custom transformers are foundational – data cleanup, basemap, data validation – for reuse
- Quicker turnaround
Future enhancement• A portal map with the option
to pick priority feeders and grids
• Use this web map to read directly from Portal to FME
• Considerations for OneDrive and deprecation of MDB
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Facility Management
UAS Operations
R&TM8% PR
1%Land4%
Transmission66%
Eco-nomic Dev.1%
Genera-tion9%
Distri-bution
3%E&CS
5%Linc2%
Breakdown of 261 UAS Flights
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Number of Flights (April 2015 – to date)
Economic Dev.PR
LincDistribution
LandE&CSR&TM
GenerationTransmission
0 50 100 150 200 250 300 350 40058
1017
2530
4552
373
Number of Flights
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As more UAVs fly, data is falling
out of the sky
How do we tame this data?
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Inspection Viewers
UAV/SD card
UAS Operator
GIS Analyst/Back
Office
End User
UAV/SD card
UAS Operator/End User
Most Workflow
s
PotentialFutureWorkflo
w
UAS Missions- Storm Operations- Field Inspection &
Verifications- Mapping 2D- Mapping 3D- Analyses – volume,
danger tree, etc.Data Workflow
s
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Data Challenges for Current83 missions – four types500+ flights3,500 picturesMISB videosPost processed data from CR Photogrammetry
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UAV/SD card
UAS Operator
GIS Analyst/
Back Office
End User
jpg, video, gps log, other
sensorPilot merge
photo/video to GPS
logCRPS softwar
eMap/3D
report
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OUTPUTExcel SpreadsheetFile geodatabasePortal feature layers
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Automated Mapping: PDF Maps for Field Users
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• CarryMap Application to view data• Can only upload map tiles one at a time• Take very long period of time to create
maps• Multiple mxds to maintain to create maps• End product well-received by our users
(Field Personnel, management, etc..)
Mobile Map Product
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Multiple Processes for one product
• Python• FME (Multiple “sub” Scripts)
• Takes approx. 6-8 hours to process in total
• ArcGIS • Other processes/scripts• Ran by multiple individuals• No sync among start times
of processes. Some scripts were prerequisites to others.
• 90% of required data from same data source!
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Customer/ Metering Data
Transformer and Protective Devices
Power Delivery Asset Data (Devices, Poles, Background
data, etc..) ArcMap/Map Document
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There Has To Be A Better Way Of Doing This!
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The Alternative!
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New Transformers Used In Process
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JsonFeature Reader
https://data.medicare.gov/Hospital-Compare/Hospital-General-Information/xubh-q36u
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Google Geocoder
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ArcGIS Opendata
Endless possibilities
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• Merged all processes into one
• Saved processing time• Clean, Efficient • Reliable• Add additional data
BENEFITS!
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Automated Mapping: PDF Maps for Switching Maps
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We have a mapping problem
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GoalsUsers prefer to use paper map
Retire and replace CAD/Oracle legacy app
Use GIS SDE to produce maps
Automated and repeatable for all feedersMaps need to be created nightly with refresh on updates
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Automated Mapping WorkspaceSelect Feeder or Batch Run
Build the map’s elements and white space
FeederMap Maker
Custom Transformer for Basemap layers
Data Clean Up/Network prep
Spatial data pattern-
ID and Sequence
Validate Space in congestion areas
and check topology;
Assign Actions:move, trim, extend, scale, rotate
Do Actions: Move - Point to
Line Spacer (done)
Trim, extend, scale, rotate
Re-ID and Re-sequence; Iterate till pass the goal
Map Automation
AI/MAPublisher completes the
White space management – move, scale, trim, extend, rotate devices along the line
Formatting and map creation
White Space Management
Data Prep
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Point on Line Spacer
PythonCaller was used to run a script that will move point
along a line, using trigonometry
User parameters
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End of PresentationRon Crenshaw [email protected]
Renato [email protected]
Alabama Power CompanyDistribution Technology Solutions