IOT for the conditional predictive maintenance of assets

As part of the digital transformation of urban transport systems, the Internet of Things (IoT) has become a key pillar in modernising maintenance operations.

Predictive maintenance, enabled by smart sensors and real-time data analysis, allows for anticipating failures and optimising the availability of critical infrastructure. This report summarises the findings of a survey conducted among UITP members, aimed at assessing the adoption of IoT and predictive maintenance in transport networks.

The purpose of the study is to exchange experiences and good practices for the remote monitoring of metro infrastructure and detection of pre-failure conditions as an opportunity for predictive condition-based maintenance in order to detect new concepts and or proven solutions with reliable technology and good added value.

The study also explores:

• Benefits of the remote monitoring technologies such as improved availability, reliability, maintenance optimisation, reduce unnecessary preventive maintenance or unplanned corrective maintenance and improved safety,
• Challenges from the implementation of the Remote monitoring technology,
• Organisation of the data analysis and the ownership of the data algorithms and knowledge.

The scope of this survey is limited to energy systems, guidance systems (like rails and switches), tunnels, and signalling.

Read the report (members only)

• Introduction
  • Purpose of the study
  • Scope of the study
  • Survey response
  • Methodology
  • Definitions
  • Glossary and abbreviations
  • Survey contributors
• Questionnaire results
  • Implementation status by network
•  Advantages and challenges
  • Advantages
  • Various challenges
  • Key insights from the benchmark
    • Networks vs equipment
    • Equipment vs networks
• Contributors
• Conclusion
  • Focus on critical equipment
  • Deployment phase: variability in progress
  • Common integration issues and challenges
  • Tangible but unevenly measured benefits
  • Potential expansion for less advanced networks
  • Importance of collaborations and experience sharing
• Recommendations