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Using FME to Refine Electric Company Facility Data Louis Panzer, Locate Support Systems

Using FME to Refine Electric Company Facility Data

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LSS utilized FME to create a workspace designed to dramatically reduce the facility footprint of an electric company. Using the workspace, the company reduced their One Call ticket volume by roughly 25%. This presentation will provide an overview of the problem and how FME was used as the solution.

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Page 1: Using FME to Refine Electric Company Facility Data

Using FME to Refine Electric Company Facility Data

Louis Panzer, Locate Support Systems

Page 2: Using FME to Refine Electric Company Facility Data

Overview

  Introduction   You have GIS – how is it being utilized?   Review of the damage prevention components   Case study: preliminary background   Customized application   Integration of solution with internal data   How are facilities protected better?   How are costs reduced at the same time?   Conclusions

Page 3: Using FME to Refine Electric Company Facility Data

You Have GIS: How is it being utilized?

  For many companies, GIS is used to fulfill many important functions (asset inventory, outage, repairs, new construction)

  The question to ask is, “if digital facility maps are available, why aren’t they being used for locate registration and ticket review?”

  Some possible answers might be:   GIS department unaware that this need exists   Update issues: what is a correct frequency?   No system in place to regulate ticket flow   Mapping confidence level

Page 4: Using FME to Refine Electric Company Facility Data

Review of Damage Prevention Components

  Areas in which maps are utilized in the process include:   One Call registration   One Call ticket review   Field Locating

(but not as a replacement for a locate)

Page 5: Using FME to Refine Electric Company Facility Data

  Tampa Electric Company previously utilized a service territory that was registered using grids

  These grids resulted in tickets being sent for the entire Hillsborough county area

  100% of these tickets were sent to the field   Due to over notification, $900,000 of 2008

$1.15M budget was spent for no conflict tickets to be field visited whether a visit occurred or not

  This method of ticket management also resulted in more risk to facilities

Preliminary Background

Page 6: Using FME to Refine Electric Company Facility Data

YEAR   2006   2007   2008   2009  

BUDGET   $1.3M   $1.2M   $1.15M   $1.1M  

Ticket count from Sunshine One Call for 2009: 88,500 tickets

Used IRTHNet to pass the tickets through for reports

Preliminary Background Cont.

Page 7: Using FME to Refine Electric Company Facility Data

Polygon

Grid size

Customized Application One Call Registration

  STEP 1: Refined database with Sunshine One Call of Florida (IRTH system) to register facilities using buffered polygons instead of grids.

Page 8: Using FME to Refine Electric Company Facility Data

Just the pure 100 foot polygons

One Call Registration

•  LSS utilized FME to extract UG lines and features from Tampa Electric Oracle database

•  Workspace carved up data into chunks, collapsed and merged the data. Rob?

•  These lines and features were converted into polygons to meet IRTH requirements (size and vertices)

Page 9: Using FME to Refine Electric Company Facility Data

Zoomed view to show improved coverage Note facility polygons in blue, grids in red.

One Call Registration

  Two sets created: 100 foot buffers (for Sunshine), 25 foot buffers (for screener)

  Can be created weekly or even daily if needed

Page 10: Using FME to Refine Electric Company Facility Data

Before

After

Estimated savings over a year: $150,000

One Call Registration Results

  ACTUAL REDUCTION: 28% avg. (Calculated using the last 3 months of tickets as an average.

Page 11: Using FME to Refine Electric Company Facility Data

Estimated savings over a year: $150,000

Results - Step 1: Ticket Reduction from One Call

  ACTUAL REDUCTION: 28% avg. (Calculated using the last 3 months of tickets as an average

Page 12: Using FME to Refine Electric Company Facility Data

Integration with Internal Data Use of 25 Foot Buffers

Using the 25 foot buffers, the screener is able to review recommendations from the system first. In a high volume situation this is a good combination of mapping and ticket management “pre-screening.”

Page 13: Using FME to Refine Electric Company Facility Data

A closer detailed view of the 25 foot buffers

Integration Use of 25 Foot Buffers

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Estimated total savings over a year: $390,000 +* * will be higher when excavation stabilizes.

Integration (Results) Ticket Reduction with Internal Data

  ADDITIONAL REDUCTION: 50% AVG.   BRINGS TOTAL DAILY SAVINGS TO: $1,500 AVG.

Page 15: Using FME to Refine Electric Company Facility Data

Estimated total savings over a year: $390,000 +* * will be higher when excavation stabilizes.

Results

  ADDITIONAL REDUCTION: 50% AVG.   BRINGS TOTAL DAILY SAVINGS TO: $1,500 AVG.

Page 16: Using FME to Refine Electric Company Facility Data

Integration with Internal Data

FIRST:   Review all

tickets using IRTHNet

  Check work type, depth and location

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Integration Using All the Tools

SECOND   Use GIS,

CIS and Google to verify clears

CIS Address OH/UG Service Check

Page 18: Using FME to Refine Electric Company Facility Data

G-Tech GIS Viewer

Integration Using All the Tools

SECOND   Use GIS,

CIS and Google to verify clears

Page 19: Using FME to Refine Electric Company Facility Data

Google maps check: using front and overhead views

Integration Using All the Tools

SECOND   Use GIS,

CIS and Google to verify clears

Page 20: Using FME to Refine Electric Company Facility Data

Integration Using All the Tools

THIRD   Make

phone calls if needed.

  WHEN IN DOUBT...

  SEND IT OUT!

Page 21: Using FME to Refine Electric Company Facility Data

How Does This Process Help Further Protect Facilities?

  Helps GIS to keep database updated •  Full circle GIS review:the process provides a

regular review of the maps (against CIS and G-tech GIS) to identify when areas need to be added.

  Provides a higher degree of confidence: every ticket is either thoroughly reviewed or field located

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How Does This Process Reduce Costs?

  ROI within 3 months   System can be automated to generate new

shape files when areas have been added   Improves the overall efficiency of the one call

ticket process   Directly reduces locate costs, whether

internal or contracted

Page 23: Using FME to Refine Electric Company Facility Data

Conclusions

  Ticket management remains a critical piece to the efficiencies and improved protection

  Ticket management works best when integrated with accurate mapping

  Not every company has GIS   Those that do many can use this functionality to

reduce costs   Those that don’t can consider building a GIS

system and funding it with the savings

Page 24: Using FME to Refine Electric Company Facility Data

Louis Panzer President

[email protected] www.locatesupportsystems.com

Questions