Challenges

• Fragmented data in silos and paper records.

• No unified real-time visibility across agencies across asset classes, leading to reactive maintenance, breakages, high emergency costs and service disruption.

• Disconnected capital planning, duplication of works, public scrutiny, competing funding priorities, and a need for transparency.

• Infrastructure stress and utilisation was not modelled dynamically.

• Security and sovereignty concerns with expanding attack points.

Solutions

• Our team’s involvement focused on the centralised, standardised asset data layer integrating BIM, GIS, IoT, sensor data, SCADA and various operational systems.

• We also provided advice on real-time monitoring and predictive analytics, model selection and tuning, and sensor monitoring with predictive maintenance modelling.

Impact

• Single source of truth across infrastructure portfolio.

• Reduced reactive maintenance and service disruptions.

• Improved emergency response coordination.

• Evidence-based capital allocation.

• Enhanced transparency to government and the public.

• Reduced cyber and operational risk.