The digital supervisory-control, monitoring and operational-visibility layer of the AGL Innovation Hub. Division 13 transforms conventional AGL control and monitoring into a connected, real-time, intelligent and traceable digital environment — in which AGL equipment, circuits and control systems can be monitored, diagnosed and managed from authorized operational interfaces. It sits between Smart AGL / IoT / Automation and the higher-level AI, asset-intelligence and future airport control architecture.
The question this division answers — How do we transform conventional AGL control and monitoring into a connected, real-time, intelligent and traceable digital environment in which AGL equipment, circuits and control systems can be monitored, diagnosed and managed from authorized operational interfaces?
Divisions 02–04 make the AGL intelligent, analytical and connected. Division 12 automates the resulting processes. Division 13 brings all of it together into one digital operational control-and-monitoring environment through which equipment, circuits, alarms, data and engineering decisions are managed — feeding upward into asset intelligence and future airport control architecture.
Develop the next generation of Airfield Lighting Control and Monitoring Systems (ALCMS) with enhanced visibility, diagnostics, automation and data integration.
Create enhanced digital monitoring and control capabilities for Constant Current Regulators.
Future systems could additionally connect CCR information to predictive-maintenance and asset-health platforms.
Enable authorized personnel to monitor and control AGL functions from approved remote interfaces.
For safety-critical systems, remote commands should operate within clearly defined authorization, interlocking and operational controls.
Use cloud or enterprise data platforms for centralized monitoring, analytics and historical information — where the applicable airport architecture and cybersecurity requirements permit.
Provide an immediate visual representation of AGL system condition, organized into five dashboard categories.
| Dashboard | Shows |
|---|---|
| Airport Overview | Overall AGL status, active alarms, critical equipment, circuit status |
| Runway | Runway lighting status, fixture/circuit condition, CCR status, faults |
| Taxiway | Taxiway lighting, stop-bar status, sign status, circuit condition |
| Equipment | CCRs, transformers, PAPI, signs, other monitored assets |
| Maintenance | Open faults, pending work, repeated failures, maintenance priorities |
Transform alarms from simple notifications into structured engineering information.
| Level | Response |
|---|---|
| Critical | Immediate operational attention |
| High | Urgent technical response |
| Medium | Maintenance attention required |
| Low | Monitoring or planned maintenance |
Provide continuous visibility of connected AGL equipment — CCR, isolation transformer, fixture, sign, PAPI, control equipment, sensors and communication equipment.
This creates a common AGL equipment-status language across the digital platform.
Allow authorized engineers and technicians to investigate equipment conditions without immediately requiring physical access.
Move from "the equipment has failed" toward "the equipment shows signs of developing degradation."
This directly connects Division 13 with Division 03 — AI for AGL.
Create one digital monitoring environment for the airport's AGL assets — runway/taxiway fixtures, approach lights, PAPI, signs, CCRs, transformers, cables, control and communication equipment.
This is the operational monitoring interface to the Asset Lifecycle Master Database & Intelligence.
The architecture should be designed as a layered system, from field equipment through to intelligence.
Develop a connected AGL environment in which appropriate equipment can exchange information through controlled communication networks.
Monitor AGL circuits beyond simple ON/OFF status — a major AGL-specific capability for the digital platform.
Provide technicians and engineers with digital information before, during and after maintenance activities.
| Phase | System Provides |
|---|---|
| Before Maintenance | Asset identification, fault information, previous failures, test results, maintenance history, equipment documentation |
| During Maintenance | Work instruction, test procedure, equipment information, previous maintenance records, required verification |
| After Maintenance | Work performed, components replaced, test results, technician information, asset condition, closure status |
Provide a dedicated digital view of AGL conditions during abnormal or emergency situations.
The recommended central architecture for Division 13 — connecting field equipment through sensors, networks and the ALCMS into the digital platform, analytics, AI and ultimately human engineering oversight.
The long-term objective for Division 13 — a continuous loop connecting ALCMS, IoT, AI, automation and asset management.
A future control centre could provide a unified operational dashboard across five screens.
Because Division 13 introduces connected and remote-control systems, cybersecurity should be treated as a core engineering requirement, not an optional add-on.
Critical Principle — Monitoring, diagnostics and control must be separated according to the required operational and safety architecture, with appropriate authorization and safeguards for control functions.
A seven-level progression from local control through to fully autonomous, adaptive AGL.
Every monitored asset should ideally generate this structured digital information.
To make Division 13 operational rather than theoretical, these registers should be maintained and kept current.
Five KPI categories keep the digital control programme measurable — system visibility, reliability, monitoring, maintenance and digital transformation.
Division 13 integrates the capabilities of eleven other divisions into the digital operational control and monitoring environment.
Division 13 progresses conventional AGL toward an intelligent digital control environment:
Division 12 automates the AGL processes, while Division 13 creates the digital control-and-monitoring environment through which those processes, assets, alarms, data and operational decisions are brought together.
This gives the Innovation Hub a clean progression from automation → digital control → intelligence → future autonomous AGL. Division 13's strongest connections are to Divisions 02, 03, 04, 05, 06, 08, 09, 10, 11 and 12.
Quick answers about Digital AGL Control & Monitoring in the AGL Innovation Hub.
Division 13 is the digital supervisory-control, monitoring and operational-visibility layer of the AGL Innovation Hub. Division 13 transforms conventional AGL control and monitoring into a connected, real-time, intelligent and traceable digital environment — in which AGL equipment, circuits and control systems can be monitored, diagnosed and managed from authorized operational interfaces. It covers 15 topics (DIG-01 to DIG-15).
How do we transform conventional AGL control and monitoring into a connected, real-time, intelligent and traceable digital environment in which AGL equipment, circuits and control systems can be monitored, diagnosed and managed from authorized operational interfaces?
The 15 topics are Smart ALCMS, Digital CCR Control, Remote AGL Control, Cloud-Based Monitoring, Real-Time Dashboards, Digital Alarm Management, Equipment-Status Monitoring, Remote Diagnostics, Predictive Alerts, Centralized Asset Monitoring, Digital Control Architecture, Networked AGL, Intelligent Circuit Monitoring, Remote Maintenance Support and Digital Emergency Monitoring.
Divisions 02–04 make the AGL intelligent, analytical and connected. Division 12 automates the resulting processes. Division 13 brings all of it together into one digital operational control-and-monitoring environment through which equipment, circuits, alarms, data and engineering decisions are managed — feeding upward into asset intelligence and future airport control architecture.
The recommended central architecture for Division 13 — connecting field equipment through sensors, networks and the ALCMS into the digital platform, analytics, AI and ultimately human engineering oversight. The steps or layers are: Fixtures / CCRs / PAPI & Signs; Sensors / PLC; Edge / Gateway; Secure Network; ALCMS — Control / Monitoring / Alarms; Digital Platform — Assets / Analytics / AI; Engineering Decision; Human Oversight.
The long-term objective for Division 13 — a continuous loop connecting ALCMS, IoT, AI, automation and asset management. The steps or layers are: Sense; Connect; Monitor; Analyze; Predict; Alert; Decide; Act; Verify; Update Asset; Learn.
A future control centre could provide a unified operational dashboard across five screens. Screen 1 — Airport: AGL system health, Runways, taxiways, approach, PAPI, signs, CCRs, Active alarms; Screen 2 — Runway: Lighting status, Circuit condition, CCR condition, Faults & trends; Screen 3 — Equipment: CCR, transformer, Fixture, PAPI, sign; Screen 4 — Maintenance: Open work orders, Critical faults, Predictive alerts, Maintenance backlog; Screen 5 — Asset Intelligence: Health score, Failure history, MTBF / MTTR, Remaining useful life.
Because Division 13 introduces connected and remote-control systems, cybersecurity should be treated as a core engineering requirement, not an optional add-on. It includes User authentication, Role-based access, Authorization, Secure communications, Network segmentation, Audit logging, Command logging, Configuration management, Backup and recovery, Cybersecurity monitoring, Incident response and Controlled software updates.
A seven-level progression from local control through to fully autonomous, adaptive AGL. LEVEL 1; Local Control; Equipment controlled locally; LEVEL 2; Centralized Monitoring; Equipment status visible at a central location; LEVEL 3; Digital ALCMS; Centralized digital control and monitoring; LEVEL 4; Connected AGL; Assets and equipment provide continuous digital information; LEVEL 5; Intelligent AGL; AI and analytics identify abnormal conditions and predict degradation; LEVEL 6; Automated AGL; Defined workflows automatically generate alerts, work orders and engineering actions; LEVEL 7; Autonomous / Adaptive AGL; Appropriately authorized systems dynamically optimize operations with human oversight.
Every monitored asset should ideally generate this structured digital information. It includes Asset ID & equipment type, Location & circuit ID, Current status & health status, Alarm status & operating parameters, Last inspection / test / maintenance, Failure history, Photometric history where applicable, Communication status, Firmware/software information where applicable, Warranty information, Criticality and Lifecycle status.
To make Division 13 operational rather than theoretical, these registers should be maintained and kept current. It includes Digital AGL Control Master Register, ALCMS Asset Register, Digital CCR Register, Remote-Control Register, Cloud Monitoring Register, Real-Time Dashboard Register, Digital Alarm Register, Equipment Status Register, Remote Diagnostic Register, Predictive Alert Register, Centralized Asset Monitoring Register, Networked AGL Register, Circuit Monitoring Register, Remote Maintenance Support Register, Emergency Monitoring Register and Digital Control Architecture Register.
Five KPI categories keep the digital control programme measurable — system visibility, reliability, monitoring, maintenance and digital transformation. System Visibility: % of AGL assets digitally monitored, % of CCRs connected, % of circuits monitored, % of critical assets visible in ALCMS; Reliability: Fault-detection time, Fault-diagnosis time, MTTR, Repeat failures, System availability; Monitoring: Real-time data availability, Alarm response time, Alarm-resolution time, Predictive-alert accuracy; Maintenance: Remote diagnostics performed, Maintenance response time, Automated work-order generation, Preventive-maintenance optimization; Digital Transformation: Digital asset coverage, Historical-data completeness, Digital control-system availability.
Division 13 integrates the capabilities of eleven other divisions into the digital operational control and monitoring environment. It includes Division 02 — Smart AGL: provides intelligent lighting assets, Division 03 — AI for AGL: provides predictive analytics and intelligent diagnostics, Division 04 — IoT & Connected AGL: provides sensors and connected equipment, Division 05 — Digital Engineering: provides BIM, GIS, digital twins and digital asset models, Division 06 — Robotics & Autonomous Inspection: provides automated inspection data, Division 08 — AGL Product Innovation: provides smart/self-monitoring products, Division 09 — Engineering Innovation: provides engineering models and calculations, Division 10 — Emerging Technologies: provides future communication, computing and sensing technologies, Division 11 — Future Airport Concepts: provides the future airport control architecture and Division 12 — AGL Automation: provides automated inspection, testing, alerts, work orders and asset updates.
Develop the next generation of Airfield Lighting Control and Monitoring Systems (ALCMS) with enhanced visibility, diagnostics, automation and data integration. Potential Capabilities: Centralized AGL control & real-time equipment status, CCR, circuit and fixture-status monitoring, Alarm management, fault visualization, Historical data, trend analysis, remote diagnostics, Maintenance information, asset integration and Digital dashboards, event logging, system-health monitoring.
Allow authorized engineers and technicians to investigate equipment conditions without immediately requiring physical access. Diagnostic Information: Current status, historical status, alarm history, operating parameters, Test results, failure history, communication status, recent events and Asset information, maintenance history.
Digital control and monitoring start with understanding ALCMS architecture, SCADA integration, data protocols and real-time system visibility. The next step is building the technical knowledge required to evaluate, develop and apply these digital control 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.
Please read before relying on any content on this page or on any record downloaded from it.