Josh Symonds & David Stuart Smith - ARUP

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Stray current – A big data issue David Stuart Smith and Josh Symonds

Transcript of Josh Symonds & David Stuart Smith - ARUP

Page 1: Josh Symonds & David Stuart Smith - ARUP

Stray current – A big data issueDavid Stuart Smith and Josh Symonds

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Outline

1.What is Stray Current?2.Why so much data?3.Taming the data4.What might be hiding in the

data?5.Conclusions© Arup

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What is stray current?

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Measuring stray current interference on utility assets

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What a raw recording looks like

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The magnitude of the data gathering

• Ten’s of buried utility assets• Pre and post construction• Post energisation• Recording the potential on each for at least 24hrs at 5s intervals

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What we want to know pre-energisation• Are there pre-existing non-

compliant interference potentials?

• Where are they coming from?

• Have we successfully resolved the pre-existing interference?

What we want to know post-energisation

• Is the light rail causing non-compliant interference potentials?

• If so why? Where’s the leak?• Have we successfully fixed it?• Are we sure that there is not a new

external source of interference?

Without a powerful tool to manage the data, the answers to these questions are not going to come easily

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What do we need to do in order to understand what is happening with stray current interference on utility assets?

• Record the data• Import the data into the database• Display and analyse the data

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Recording the data

This should be the simple bit…..• Clock incorrectly set• Wrong scale factor• Poor connection – missing data• Different data file formats

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Stray Current Visualiser – Overview

• Project setup• Adding in and managing assets• Importing and managing series data• Displaying the data and derived quantities as a time-series• Annotate and “revise” the data• Display as a “heat map”

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Project setup

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Adding in assets

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Importing series data

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Displaying the data as a time-series

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Interrogating the data as a time-series

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Displaying the data and derived quantities as a time-series

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Heat map

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Annotate and “revise” the data

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Why compare different series?

• The voltage along the rails varies from point to point – highly correlated interference measurements probably indicate a single source of the interfering potential.

• If the interference on nearby assets is quite different then asking why is probably useful.

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Why calculate average anodic and average cathodicshifts from quiescent?

• The average anodic shift is what drives the possible corrosion of the utility asset.

• The average cathodic shift is relevant for coated assets and lead assets.

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Correlations

• Post energisation correlation with rail to reference can establish the possibility of causality – no correlation, no causality.

• Average anodic shift relates to the magnitude of the impact

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Traps and avoiding them• Aliasing – if the logger does

not have an appropriate anti-aliasing filter 50Hz interference can look like something varying over seconds or 10’s of seconds, much like traction current!

• Reference ½ cell location – as close as possible to the utility asset and in exactly the same place for repeatability –photograph the location!

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Sources of non-traction interference• Tides• CP systems• Industrial processes• Natural geo phenomena

(“telluric” current)

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Conclusions

• Recognising this early as a “big data” situation will potentially save much frustration and re-tracing of ones steps

• Having the right tool to manage the data will make life much easier

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Questions?