Improvement of maintenance efficiency over various bridges in usa

Aingura insights

Data Acquisition Data Acquisition
Preprocessing Preprocessing
Transformation Transformation

Sectors

Infrastructure Infrastructure

Applications

Maintenance Maintenance
Consumption Efficiency Consumption Efficiency

impact

  • Adjusts the remaining life curve to the real behavior
  • No need to have the exact theoretical model of the bridge; without considering the original situation of the bridge

Developed AI Technologies

  • Machine Learning-based baseline generation
  • Transfer learning between similar bridges.

Challenges

  • Avoid auscultation based on visits and subjective criteria.
  • Development of a ML-based KPI (Health Index) that enables online monitoring the dynamic response behavior of the bridge, and detection of structural anomalies
  • Increase the ability to automatically detect structural problems without incurring large costs of manual analysis

results

  • Reduction of 25% of maintenance costs
  • Avoid of structural collapse
  • PRI: 5 years .

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