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Transcript of Remember AM/FM?
AM/FMAlabama Power CompanyDistribution Technology Services
Sequence of Presentation• Facility Mapping – Renato
• Pole Inspections• UAV
• Automated mapping - Ron– CarryMap to Geospatial PDF - Feeder (sectionalizing) maps
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
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
AM/FM
Forerunner to GIS for Utilities
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
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
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
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
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
As more UAVs fly, data is falling
out of the sky
How do we tame this data?
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
Data Challenges for Current83 missions – four types500+ flights3,500 picturesMISB videosPost processed data from CR Photogrammetry
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
OUTPUTExcel SpreadsheetFile geodatabasePortal feature layers
Automated Mapping: PDF Maps for Field Users
• 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
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!
Customer/ Metering Data
Transformer and Protective Devices
Power Delivery Asset Data (Devices, Poles, Background
data, etc..) ArcMap/Map Document
There Has To Be A Better Way Of Doing This!
The Alternative!
New Transformers Used In Process
JsonFeature Reader
https://data.medicare.gov/Hospital-Compare/Hospital-General-Information/xubh-q36u
Google Geocoder
ArcGIS Opendata
Endless possibilities
• Merged all processes into one
• Saved processing time• Clean, Efficient • Reliable• Add additional data
BENEFITS!
Automated Mapping: PDF Maps for Switching Maps
We have a mapping problem
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
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
Point on Line Spacer
PythonCaller was used to run a script that will move point
along a line, using trigonometry
User parameters
End of PresentationRon Crenshaw [email protected]
Renato [email protected]
Alabama Power CompanyDistribution Technology Solutions