app risk assessment using mobile data...
TRANSCRIPT
reliability & innovation
APP Risk Assessment Using Mobile Data Collection
February 7-8, 2017Albuquerque, NM
Rick Harness| 970-204-4001 |[email protected] 2017 EDM International, Inc. All Rights Reserved.
UTILITY & ENGINEERING SERVICES ENVIRONMENTAL SERVICES POWER OPTIMIZATION PRODUCTS
Overcoming utility infrastructure challenges by merging excellence in engineering, science and technology with a
passion for client satisfaction.
EDM International, Inc.4001 Automation Way | Fort Collins CO 80525 U.S.A.P: 970.204.4001 | F: [email protected] | www.edmlink.com
Over 100 Avian Protection Plans Developed
ArgentinaDom. Rep.CanadaCosta RicaHungaryIndiaIsraelMexicoMongoliaNamibiaSouth AfricaUA Emirates
NEW MEXICO:
TriState G&T
WSMRXcel Energy NM
Springer EC
EOG Resources
White Sands Missile RangeFort Bliss
El Paso ElectricHolloman Electric
Sierra ElectricSocorro Electric
AVIAN PROTECTION PLANS
U.S. Fish and Wildlife Service and Avian Power Line Interaction Committee (APLIC) published Final APP guidelines April 2005
Avian Protection PlansElectrocutions and Collisions
Corporate Policy Permit/Regulatory Compliance Management Guidelines
o Nestingo Mortalityo Injured Wildlife
Mortality Reduction Measures Reporting and Record Keeping Quality Control Training Public Awareness Avian Enhancement Key Resources
Avian Protection PlansElectrocutions and Collisions
Standardso Retrofitting o New Construction
Risk Assessmento Bird High Use Areaso High Risk Configurationso Specify Retrofittingo Prioritize Retrofittingo Create an Approved
Material Listo Lay Out a Retrofitting
Budget and Time Line
Avian Protection PlansElectrocutions and Collisions
COLORADO RURAL ELECTRICASSOCIATION (CREA) APPS
2002-2003
• Collaborative :– 21 CREA Co-operatives– 2 municipal utilities– 1 military base– 1 mine– PSCO(Xcel Energy)
• Consistent/Defensible Approach
• Manage costs• Maximize efficiencies• State-wide coverage
FIRST “TAILORED” APP2002-2003
Data Collection:– Digital Maps– Field Survey– Pole attributes (paper form)– Retrofit recs (paper form)– Risk level (paper form) – Image (digital)
DATA COLLECTION
RESULTSSPREADSHEET WITH RETROFITTING RECOMMENDATIONS
CHALLENGES:
Finding the poles on paper maps Writing legible notes on paper maps Making sure data was collected
consistently (thus all the photos) Recording all photo numbers correctly Making sure each pole’s retrofitting
priority was applied consistently Transcribing field notes from paper to
digital was VERY time consuming QA/QC
2014-2015UTAH ASSOCIATED MUNICIPAL POWER SYSTEMS
(UAMPS) APPS
SECOND “TAILORED” APPS2014-2015
• Collaborative :– 19 municipal utilities
• Multi-State Project– UT, ID, NV, CA
• Manage costs• Maximize efficiencies• Consistent Approach• Must include APLIC/USFWS
content (Defensible)
How to assign risk?
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0
0
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0
200
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1000
1200
1400
Deadend/Tap Trans. Banks Tangent Other Equip NarrowTangent
Others
Rap
tor M
orta
lity
No.
Pol
e U
nits
Primary Units
Structure Types and Mortality Units Mortality
Moon Lake Electric AssociationRangely Oil Field Survey - 1999
Problem Statement
Previous models have been prohibitively complex:• Schomburg, J.W. 2003. Development and evaluation of predictive models for managing Golden
Eagle electrocutions.
• Model: Pole design being TRANS or JW/being NOXARM, 3PHASE, or 2PHASEAmount of FOREST cover is < 5% for 1000m quadrant surrounding power polePole design 3PHASETopographical placement of power pole is on hill/ridge topPower pole nearest distance to active golden eagle nest <9624.5 meters100m quadrat surrounding power pole contains < 77.5% grassSum of pole height differences between power pole in question and it’s adjacent poles > 2.29 meters 1000m quadrat surrounding power pole contains < 2.5% FOREST100m quadrat surrounding power pole contains > 77.5% sagePower pole nearest distance to active golden eagle nest > 3164.5 meters1000m quadrat surrounding power pole contains > 22.5% GRASS.
• BioResource Consultants. 2008. Identifying electric distribution poles for priority retrofitting to reduce bird mortality. Final Report (January 2008) to California Energy Commission – Public Interest Energy Research Program, Contract Nos. P500-04-052 and 500-01-019.
• Model: X = ‐4.13 + .41(slighter) + 0.05(pellets) +0.27(prey_1) + 0.09(hard1sum) + 0.81(Veg_gr_wet) ‐ 0.1(perchopt) ‐5.34(Guy_uninsul) +0.7(Aspect_corner) +0.09(sfusecut) ‐0.68(effheigh) ‐1.78(use_public) ‐0.27(vegstruc) ‐0.34(sswitch) +0.56(Aspect_dead) +0.56(Guy_insul) ‐0.19(stranso) ‐ 0.004(armorien) ‐ 0.06(arms) + 0.27(Metal_arm) + 0.23(Phase_tangent) ‐0.03(sjumper) + 0.14(Metal_armbrace)
Problem Statement
ELECTROCUTION MODELINGModels K ΔAICc Weightv1 + v2 + v4 + v5 + v6 + v7 + v8 + v10 9 0.000 0.067v1 + v2 + v6 + v7 + v8 + v10 7 0.459 0.054v1 + v2 + v3 + v4 + v5 + v6 + v7 + v8 + v10 10 0.511 0.052v1 + v2 + v3 + v6 + v7 + v8 + v10 8 0.597 0.050v1 + v2 + v5 + v6 + v7 + v8 + v10 8 0.799 0.045v1 + v2 + v3 + v5 + v6 + v7 + v8 + v10 9 1.051 0.040v1 + v2 + v4 + v5 + v6 + v7 + v8 8 1.601 0.030v1 + v2 + v4 + v5 + v6 + v8 + v10 8 1.899 0.026v1 + v2 + v4 + v6 + v7 + v8 + v10 8 1.910 0.026v1 + v2 + v6 + v7 + v8 6 1.991 0.025v1 + v2 + v4 + v5 + v6 + v7 + v8 + v9 + v10 10 2.041 0.024v1 + v2 + v3 + v4 + v6 + v7 + v8 + v10 9 2.129 0.023v1 + v2 + v5 + v6 + v7 + v8 7 2.155 0.023v1 + v2 + v6 + v8 + v10 6 2.324 0.021v1 + v2 + v6 + v7 + v8 + v9 + v10 8 2.397 0.020v1 + v2 + v3 + v6 + v7 + v8 + v9 + v10 9 2.406 0.020v1 + v2 + v3 + v4 + v5 + v6 + v7 + v8 + v9 + v10 11 2.476 0.020v1 + v2 + v5 + v6 + v8 + v10 7 2.565 0.019v1 + v2 + v3 + v4 + v5 + v6 + v7 + v8 9 2.566 0.019
v2 + v3 + v6 + v7 + v8 + v10 7 2.647 0.018v1 + v2 + v3 + v4 + v5 + v6 + v8 + v10 9 2.721 0.017v1 + v2 + v3 + v6 + v8 + v10 7 2.808 0.017v1 + v2 + v5 + v6 + v7 + v8 + v9 + v10 9 2.849 0.016v1 + v2 + v3 + v5 + v6 + v7 + v8 8 2.900 0.016
• 1024 models• Top 24
shown:
• v1: jumpers• v2: phases• v3: canopies• v4: deadend• v5: phases up• v6: grounding• v7: view• v8: habitat• v9: public• V10: prey/use
CONCLUSIONS - PUBLICATIONS
RISK FORMULA (Dwyer et al. 2013)
Formula variable definitions:
1. Habitat: The presence of high quality habitat (value = 0) or low quality habitat (value = 1) as the dominant land cover within ¼ mile of the pole, where habitat quality reflects habitat use by the species of concern.
2. Number of Primary Conductors: The number of energized phase wires on a pole. Primary conductors are the wires spanning between poles across a landscape.
3. Number of Jumpers: The total number of non-insulated energized jumpers on a pole. Jumpers are the short wires connecting primary conductors to one another or to pole mounted equipment.
4. Grounding: The presence (value = 1) or absence (value = 0) of a path to ground present above the lowest energized primary conductor or jumper.
Data Collection
DATA COLLECTION: FORM
Jumpers only get counted when they are:1. Bare2. Partially Covered3. Fully Covered but an equipment cap is still missing/loose
DATA COLLECTION: FORM
• Runs on laptop/tablet/handheld• Data entry: keypad, stylus, touch screen• GIS integrated• GPS enabled• Highly customizable forms• Multiple utility modules available:
– OH Inventory and Patrol– UG Inventory and Patrol– Substation Inspection– Ground Line Inspection– Lands, Roads, and Vegetation Inspection
DATA COLLECTIONUAMPS: CARTOPAC MOBILE
http://www.cartopac.com/
Bald Eagle
DATA COLLECTIONUAMPS: CARTOPAC MOBILE
√
DATA COLLECTION: FORMUAMPS: CARTOPAC MOBILE
2
DATA COLLECTION: FORMUAMPS: CARTOPAC MOBILE
00.10.20.30.40.50.60.70.80.9
1
1 3 5 7 9 11 13 15 17 19
Prob
abilit
y of E
lectro
cutio
n
Number of jumpers (phases = 3)
Ground Yes, Habitat ClosedGround No, Habitat ClosedGround Yes, Habitat OpenGround No, Habitat Open
0
.41
RESULTS
Ground Yes, Habitat GoodGround No, Habitat GoodGround Yes, Habitat AverageGround No, Habitat Average
RESULTS
00.10.20.30.40.50.60.70.80.9
1
1 3 5 7 9 11 13 15 17 19
Prob
abilit
y of E
lectro
cutio
n
Number of jumpers (phases = 3)
Ground Yes, Habitat ClosedGround No, Habitat ClosedGround Yes, Habitat OpenGround No, Habitat Open
Ground Yes, Habitat GoodGround No, Habitat GoodGround Yes, Habitat AverageGround No, Habitat Average
15
.81
RESULTSPRIORITY RANKING
A
B A
B
AB
P = .55
P = .7
RESULTSFREQUENCY HISTOGRAM
B
A
B
P = .30P = .70
• GIS files include all pole data and retrofit recs
• Google Earth KMZ file also includes photo
• Organized by Priority-Map Color Coded
DATA DELIVERABLESENHANCED DIGITAL FORMATS
RESULTSMATERIAL LIST BROKEN OUT BY PRIORITY
Arrester CapInsulation
Cutout Cover
Conductor Cover Arrester CapCutout Cover
Bushing Cover
• Risk Assessment using mobile data collection with risk model provides consistent results across multiple service territories.
• Allows additional engineering field data to be collected, such as code violations.
• Allows neighboring utilities to have shared solutions.
• Efficient due to the shared effort ($14K per utility)
CARTOPAC RISK ASSESSMENT RECAP
ACKNOWLEDGMENTSParticular thanks and recognition to the following organizations and individuals who made the project a success and this presentation possible:
• Colorado Rural Electric Association (CREA)• Utah Assoc. of Municipal Power Systems
– Mason Baker, UAMPS– Heather Bringard, UAMPS
• CartoPac Mobile Software• Southern California Edison (SCE)• California Energy Commission (CEC)• New Mexico Avian Protection (NMAP)
QUESTIONS?
© EDM International, Inc. 2017