AI-based predictive maintenance & reliability
Integrate sensor, historian and inspection data with suitable analytics to identify degradation, assess equipment health and support earlier maintenance decisions across the assets that matter most.
- Condition monitoring and equipment-health models
- Failure, degradation and corrosion analytics
- APM and maintenance-workflow integration
- Pilot evaluation and measured rollout
Asset digital twins & process modelling
Bring equipment records, plant models and operating data together so teams can explore performance, test changes and prepare maintenance or turnaround activities before work starts.
- Virtual plant and asset-data models
- Process and maintenance what-if studies
- Digital work packs and linked documents
- Planning, integrity and operating-data integration
AR, remote support & technical knowledge transfer
Introduce appropriate visualisation and remote-support tools to give field teams clearer asset information, guided instructions and access to specialist expertise during inspections, maintenance and planning.
- AR-assisted walk-downs and asset visualisation
- Digital work instructions and field information
- Remote expert support
- Technical training and knowledge transfer