Preventing Lighting Column Failures with ModeSenseAI: A Smarter Approach to Structural Asset Management


Recent structural issues with lighting columns on the Prince of Wales Bridge caused significant disruption and raised understandable public safety concerns.

The solution is remote lighting column structural monitoring.


Beyond the immediate risk to road users, unplanned failures like these trigger significant inspection, traffic management, and replacement costs — placing additional pressure on already-stretched infrastructure budgets.

Events like this highlight a broader challenge facing infrastructure operators: how to identify potential failures before they occur, and estimate Remaining Useful Life (RUL).

Lighting Column Structural Monitoring - Remaining Useful Life (RUL) - Why it Matters

At ALC, we believe this requires a shift toward proactive, data-driven asset management.


Why Reactive Maintenance Is No Longer Enough


Traditional inspection cycles rely on time-based assessments. While essential, this approach can miss early-stage structural weakness such as:

  • Fatigue
  • Corrosion
  • Ground movement
  • Material degradation
  • Vibration-induced instability

These issues often develop silently. By the time a defect becomes visually detectable, the structure may already be compromised.

A more intelligent method is needed — one that continuously monitors asset health rather than waiting for visible symptoms.


ModeSenseAI: Remote Lighting Column Structural Monitoring


Our newly developed ModeSenseAI platform provides continuous, real-time structural health monitoring for lighting columns. Using advanced sensors and machine-learning analysis, ModeSenseAI enables engineers and asset owners to:

  • Detect early signs of fatigue, corrosion, or instability
  • Reduce reliance on reactive, emergency maintenance
  • Improve public safety through early intervention
  • Optimise budgets using evidence-based decision making

By capturing structural behaviour data around the clock, ModeSenseAI highlights issues long before traditional inspection methods would detect them.


From Time-Based Inspections to Condition-Based Maintenance


ModeSenseAI enables a transition to condition-based maintenance, allowing infrastructure teams to:

  • Prioritise high-risk assets
  • Extend asset life through targeted interventions
  • Avoid unnecessary replacement of healthy structures
  • Dramatically reduce unplanned failures

This proactive approach keeps roads open, drivers safe, and maintenance costs under control.


Supporting Tomorrow’s Infrastructure – Remote Lighting Column Structural Monitoring


As public assets face increasing pressure from age, climate, and funding constraints, technology like ModeSenseAI offers a clear path toward safer and more resilient networks.

If you’re looking for a smarter, safer, and more cost-effective way to manage lighting column infrastructure, we’d be happy to discuss how ModeSenseAI can support your network.


Contact Us


📞 +44 (0) 1639 852502

📧 sales@alulight.co.uk

🌍 aluminium-lighting.com