Smart Airbases of the Future

Self-organised droneswill be utilised to reduce themanpower and time taken forrunway damage assessments andrepairs. DSS will prioritise runwayrepair operations and recommendtaxi routes to minimise disruptionsto launch and recovery operations.At the same time, UGVs will bedeployed to assist in the repairs.

The Base Command Post will be better networked to all airbase systems. Decision support systems (DSS) enabled by data analytics and artificial intelligence will sense-make data and recommend follow-on actions. This allows commanders to make decisions faster and focus on orchestrating dynamic and complex airbase operations.

AUTOMATED INSPECTION &PROACTIVE MAINTENANCE

EXPEDITIOUS RUNWAY DAMAGE ASSESSMENTS & REPAIRS

SUPERIOR AIRBASE SITUATIONAL AWARENESS

ENHANCED AIRBASE SECURITY

Advancements in data analytics, artificial intelligence and robotics have opened up new possibilities for the Republic of Singapore Air Force (RSAF) to be more effective and efficient. The envisioned Smart Airbases will revolutionise

the way the RSAF fights and enable it to be more agile, resilient and efficient in air power generation.

Aircraft hangars with sensors and Unmanned Ground Vehicles (UGVs) will check that aircraft are fit for flight. This reduces aircraft turnaround time. With data analytics, the smart fleet management system will provide insights on aircraft performance and proactively recommend maintenance actions.

Existing counter-drone capabilities will be enhanced with better detection and the use of “drone-catcher” drones to take down errant drones at longer ranges. More advanced sensors and video analytics will also augment security troopers to enhance airbase security.