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Sonic Analysis of INfrastructure (SAIN)

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Sonic Analysis of INfrastructure (SAIN)

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An overview of the SAIN product features and techniques.

Work is continuing on our SAIN product. We have recently built a simulator (more on that in future posts) and are now investigating the sensitivity to degradation of integrity in rail bridges. We are also using the simulator demonstrate the ability of SAIN to detect the growth of voids in the ground beneath the track.

An overview of the SAIN product features and techniques.

Work is continuing on our SAIN product. We have recently built a simulator (more on that in future posts) and are now investigating the sensitivity to degradation of integrity in rail bridges. We are also using the simulator demonstrate the ability of SAIN to detect the growth of voids in the ground beneath the track.

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Sonic Analysis of INfrastructure (SAIN)

  1. 1. SAIN Overview (Sonic Analysis of INfrastructure)
  2. 2. Arnmore Limited Dr Gary Bamford Mr Mark Tovey Georgia State University Prof. Stuart Jefferies The idea; to use a solar analysis technique to probe the internal structures of assets. 2 The Team - The Idea
  3. 3. Current monitoring techniques are limited 3 Dams Road Bridges Tunnels Track Rail Bridges
  4. 4. Increasing Rail Bridge Risk Factors 4 Ageing infrastructure coming under increased pressure Flood damage Wind damage Earthquake risk (natural and man made ‘fracking’) Heavier traffic Bridge Collisions Increased speed of trains Increasing length of trains Increased frequency of trains
  5. 5. The Challenge (bridges opportunity) 5 UK • 35,000 rail bridges • 3% year on year growth of rail traffic • 30% of bridges >100 years old • 74,000 road bridges • 3,000 dams USA • 614,000 road bridges • 1 in 11 road bridges rated structurally deficient • 40% of rail bridges >50 years old and near end of design life • 100,000 rail bridges • 91,000 Dams Europe • 300,000 rail bridges • 300 bridges at risk of failure in Italy 2019 Worldwide • 10 major bridge failures in 2018 alone Asia • High frequency of seismic activity
  6. 6. UK Bridge Numbers 6 Assets in the UK Numbers Rail Bridges 35,204 Road Bridges 74,045 Other not defined - Total 109,249
  7. 7. The Technology Data gathering, analysis and transfer
  8. 8. Bridge Acoustic Signature 8 Monitored Bridge Data Collection Data Analysis
  9. 9. Monitoring Assets 9 Analysis • Machine Learning • Frequency • Trend Detection • Remote device • Acoustic detection • Calibration Transfer of data to client • WiFi • Mobile Network • LoRaWAN (Low power Wide Area Network) • Real time data transfer
  10. 10. Detection 10 Small stand alone device •No need to fix it directly onto an asset Long term life expectancy •Enables continuous data collection •Less maintenance Acoustic sensors •Whole-body signature •Network of sensors
  11. 11. Data Analysis 11 Machine Learning •Improves accuracy of health signature of asset Frequency analysis •Actual data recorded by device •Transformed into a format that can be compared to baseline asset health signature Trend Analysis •Provides data on effects of seasons/traffic etc •Provides an asset health lifecycle view from healthy to a critical failure
  12. 12. Data Transfer to Clients 12 Asset Owners • Identification of maintenance needed • Location of asset • Integration into existing tools Train/Freight Operating Company • Monitoring of rollingstock • Flagging of possible delays Real time data transfer • Monthly reporting • Immediate flagging after critical failure
  13. 13. Summary 13 SAIN Features Current Monitoring Sensors Continuous Monitoring Limited time on critical bridges Realtime active notifications Spot checks Long term unmanned monitoring Physical checking Acoustic sensor remote from asset Vibration sensor directly on asset Machine learning to improve accuracy Complex analysis Monthly reporting on asset health Independent review of data (Univ. of Georgia)
  14. 14. The Proposition 14  Represents an innovative business opportunity  Able to generate revenue and return  Reduce risk and increase safety of critical assets  Simple to deploy  Able to give immediate results  Supports broader business opportunity  An immediate need  A real opportunity to penetrate the market

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