One of the core flagship programmes of the AGL Innovation Hub. Division 02 sits immediately after Innovation Strategy & Roadmap and defines the technology domain of intelligent AGL — intelligent control, adaptive brightness, smart monitoring, self-diagnostics, energy optimization and remote monitoring. The objective is to transform conventional AGL from a primarily manually monitored lighting infrastructure into an intelligent, connected, condition-aware and energy-aware airfield lighting system.
The objective this division pursues — transform conventional AGL from a primarily manually monitored lighting infrastructure into an intelligent, connected, condition-aware and energy-aware airfield lighting system, while remaining fully subject to approved operational, safety and regulatory requirements.
Division 02 is the first of the technology domains that Division 01's strategy points toward. It builds the intelligent-lighting foundation that later divisions — AI for AGL, IoT & Connected AGL, Digital Engineering, Automation and Intelligent Maintenance — build directly on top of.
Develop runway lighting capable of intelligent monitoring, control and operational optimization across every runway lighting subsystem.
Faster fault identification, reduced inspection workload, improved operational visibility, better maintenance planning, improved runway-lighting reliability.
Develop intelligent taxiway lighting capable of monitoring operational condition and supporting optimized lighting control.
Develop lighting-control systems capable of adapting lighting operation according to defined operational conditions.
Instead of treating lighting intensity as a fixed command, an intelligent system evaluates available operational inputs and applies an approved lighting-control strategy.
Adaptive control must remain subject to approved operational requirements, safety requirements and applicable regulatory/airport procedures. Innovation should not override the required operational control philosophy.
Improve the intelligence and precision of AGL intensity control.
Better control visibility, faster identification of abnormal operation, improved maintenance diagnostics, better energy management.
Develop systems capable of automatically adjusting lighting brightness according to approved operating conditions.
The system should have a closed-loop intelligent lighting architecture:
Convert individual AGL fixtures into condition-aware assets.
Depending on fixture technology and system architecture:
Traditional Fixture: Fixture → Light output
Individual asset visibility, faster fault localization, condition monitoring, maintenance prioritization, historical performance records.
Develop an AGL architecture in which fixtures can communicate their status to a central monitoring system.
Connected AGL fixtures are explicitly identified as a key Smart Airfield Lighting topic.
Enable AGL equipment to identify and report its own abnormal conditions.
This can support condition-based and predictive maintenance programmes.
Enable authorized personnel to monitor AGL assets without physically visiting every location.
Asset status, fault status, alarm status, communication status, historical trends, maintenance alerts, asset-health information.
Remote asset monitoring is explicitly identified as a Smart Airfield Lighting capability.
Provide a continuously updated representation of the operational condition of the AGL system.
| Information | Example |
|---|---|
| Runway status | Normal / Fault |
| Taxiway status | Normal / Fault |
| Circuit status | Energized / De-energized |
| Fixture status | Healthy / Fault |
| Communication | Online / Offline |
| Alarm | Active / Cleared |
| Intensity | Selected level |
| Maintenance | Due / Overdue |
The system should also retain status history, fault history, alarm history, operating history, maintenance history and communication history.
Move from basic circuit supervision toward intelligent circuit-condition monitoring.
The ultimate objective is:
Rather than: Circuit Fault → Manual Investigation.
Provide clear, prioritized and actionable fault information.
This also creates a direct connection with the AGL Failure Database.
Optimize AGL operation while maintaining required operational performance.
Reduced unnecessary energy consumption, better equipment utilization, improved maintenance planning, improved system visibility.
Integrate energy-performance information into intelligent AGL control.
Energy dashboards, energy-aware intensity strategies, energy-performance benchmarking, automatic energy reporting, energy optimization analytics.
The framework explicitly identifies energy-aware lighting control and automated lighting optimization within Smart Airfield Lighting.
Develop a connected network architecture specifically supporting intelligent runway lighting.
Integration with ALCMS, asset management, maintenance management, digital twin, AI analytics and airport operational systems.
Create an intelligent connected network for taxiway lighting infrastructure.
The smart taxiway network could become part of a wider connected airfield infrastructure rather than remaining an isolated lighting system.
This is the highest-level concept within Division 02. The objective is to move from individual smart lighting components toward an integrated intelligent airfield infrastructure.
This creates the foundation for later Innovation Hub divisions such as AI for AGL, IoT & Connected AGL, Digital Engineering, AGL Automation, Digital AGL Control & Monitoring and Intelligent Maintenance & Predictive AGL. Those divisions are explicitly included in the 25-division framework.
The recommended layered architecture for representing Division 02 — from the physical field layer up through sensing, connectivity, intelligence, control, monitoring, maintenance and knowledge.
To make this division operational, these databases/registers should be created and maintained.
Recommended KPIs for tracking Smart AGL deployment, reliability and impact.
Every Smart AGL innovation should follow this cycle — from the original engineering problem to knowledge publication.
Division 02 should remain focused on intelligent AGL as a lighting discipline — intelligent control, adaptive brightness, smart monitoring, self-diagnostics, energy optimization and remote monitoring of the lighting system itself, not the broader mechanics of AI, IoT, robotics or digital-twin platforms.
The general-purpose technology domains move into Divisions 03–07 (AI, IoT, Digital Engineering, Robotics, Sustainability), engineering and product innovation move into Divisions 08–17, and the prototyping, PoC, pilot and validation mechanics move into Divisions 18–25. These functions are deliberately kept separate.
Its strongest connection is to Connected Airfield Infrastructure (SAL-17), which forms the foundation for later divisions such as AI for AGL, IoT & Connected AGL, Digital Engineering, AGL Automation, Digital AGL Control & Monitoring and Intelligent Maintenance & Predictive AGL, and to the AGL Failure Database, which supplies recurring fault patterns that Intelligent Fault Indication (SAL-12) is designed to catch earlier.
Division 02 converts conventional, manually monitored AGL into an intelligent, connected, condition-aware and energy-aware airfield lighting system — always within approved operational, safety and regulatory requirements — and hands that connected foundation forward to the technology, prototype, validation and knowledge-development engines of Divisions 03–25.
Quick answers about Smart Airfield Lighting in the AGL Innovation Hub.
Division 02 is one of the core flagship programmes of the AGL Innovation Hub. Division 02 sits immediately after Innovation Strategy & Roadmap and defines the technology domain of intelligent AGL — intelligent control, adaptive brightness, smart monitoring, self-diagnostics, energy optimization and remote monitoring. It covers 17 topics (SAL-01 to SAL-17).
The 17 topics are Intelligent Runway Lighting, Intelligent Taxiway Lighting, Adaptive Lighting Control, Smart Intensity Control, Automatic Brightness Adjustment, Smart Fixture Monitoring, Connected AGL Fixtures, Self-Diagnostic Lighting, Remote Asset Monitoring, Real-Time Lighting Status, Smart Circuit Monitoring, Intelligent Fault Indication, Automated Lighting Optimization, Energy-Aware Lighting Control, Smart Runway Lighting Networks, Smart Taxiway Networks and Connected Airfield Infrastructure.
Division 02 is the first of the technology domains that Division 01's strategy points toward. It builds the intelligent-lighting foundation that later divisions — AI for AGL, IoT & Connected AGL, Digital Engineering, Automation and Intelligent Maintenance — build directly on top of.
The recommended layered architecture for representing Division 02 — from the physical field layer up through sensing, connectivity, intelligence, control, monitoring, maintenance and knowledge. The steps or layers are: Smart AGL Field Layer — Runway | Taxiway | Approach | PAPI | Signs; Sensing & Diagnostic Layer — Current | Voltage | Temperature | Status | Fault | Operating Hours; Connectivity Layer — Controllers | Gateways | Communication Network; Intelligence Layer — Diagnostics | Analytics | Optimization | AI; Control Layer — Intensity | Switching | Approved Control Functions; Monitoring Layer — Dashboard | Alarms | Trends | Asset Health; Maintenance Layer — Alert | Work Order | Inspection | Corrective Action | Predictive Maintenance; Knowledge Layer — Failure Database | Asset Lifecycle | Product Encyclopedia | Research | Training.
To make this division operational, these databases/registers should be created and maintained. It includes Smart AGL Asset Register, Connected Fixture Register, Smart Circuit Register, AGL Sensor Register, AGL Communication Network Register, Smart AGL Fault Register, Smart AGL Alarm Register, AGL Energy Performance Register, Smart Fixture Diagnostic Register, Remote Monitoring Register, Intelligent Control Register, Lighting Optimization Register, Smart AGL Pilot Register, Smart AGL Technology Evaluation Register and Smart AGL Innovation Project Register.
Recommended KPIs for tracking Smart AGL deployment, reliability and impact. It includes Smart fixtures deployed, Percentage of connected AGL assets, Remote-monitoring coverage, Fault-detection rate, False-alarm rate, Fault-localization accuracy, Mean time to detect, Mean time to diagnose, Mean time to repair, Unplanned failure reduction, Energy consumption reduction, Maintenance-hours reduction, Manual inspection reduction, Asset-data availability, Communication-network availability and Diagnostic-data availability.
Every Smart AGL innovation should follow this cycle — from the original engineering problem to knowledge publication. The steps or layers are: Problem Identification; Smart AGL Opportunity; Technology Assessment; Concept Design; Technical Feasibility; Prototype; Laboratory Testing; Proof of Concept; Airport Pilot; Safety & Performance Validation; Technical Review; Operational Implementation; Performance Monitoring; Knowledge Publication.
Develop runway lighting capable of intelligent monitoring, control and operational optimization across every runway lighting subsystem. Scope: Intelligent runway edge-light monitoring, Intelligent runway centerline-light monitoring, Threshold-light monitoring, Runway end-light monitoring, Touchdown-zone lighting monitoring, Runway lighting circuit intelligence, Real-time fixture status, Individual fixture identification, Lighting-fault detection and Remote status monitoring.
Enable authorized personnel to monitor AGL assets without physically visiting every location. Assets That Could Be Monitored: Runway fixtures, Taxiway fixtures, Approach lighting, PAPI, Signs, CCRs, Isolation transformers, AGL circuits, Control equipment and Communication equipment.
This is the highest-level concept within Division 02 . The objective is to move from individual smart lighting components toward an integrated intelligent airfield infrastructure. Connected Assets: Runway lighting, Taxiway lighting, Approach lighting, PAPI, Airfield signs, CCRs, Isolation transformers, Primary circuits, Secondary circuits and Control systems.
Smart airfield lighting starts with understanding the engineering behind LEDs, ALCMS, adaptive intensity control, sensor integration and networked AGL systems. The next step is building the technical knowledge required to evaluate, develop and apply these systems with confidence.
Develop structured knowledge across:
Understand how engineering problems become opportunities, technologies, concepts, validation activities and measurable improvements.
Understand today's AGL. Build tomorrow's capability.
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