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Optimized Public Lighting Maintenance Improves Efficiency

A global energy provider managing extensive public lighting infrastructure sought to improve efficiency in maintenance planning and bulb replacement. The lack of accurate forecasting led to downtime, increased costs, and inefficient asset utilization.

Project duration:

5 months

Output:

Maintenance policy optimization, Maintenance Optimization

The challenge

  • Inefficient maintenance scheduling causing frequent downtime.
  • Difficulty predicting when and where bulb replacements were needed.
  • Limited insights for optimizing infrastructure design and renovations.
A cloud-based decision-support system implemented to:
  • Integrate open data and proprietary city lighting information.
  • Utilize expert opinions and scientific literature to forecast maintenance needs.
  • Provide real-time insights for strategic asset management.

Impacts

Success stories

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