The advanced engineering-methodology and engineering-decision layer of the AGL Innovation Hub. Division 09 targets new AGL design methodologies, automated engineering calculations, advanced reliability models, digital commissioning and data-driven engineering/decision-making — transforming AGL engineering from predominantly manual, experience-based processes into structured, automated, data-driven and reliability-based workflows, while retaining qualified engineering review and technical accountability throughout.
The question this division answers — How do we transform AGL engineering from predominantly manual, experience-based processes into structured, automated, data-driven and reliability-based engineering workflows, while retaining qualified engineering review and technical accountability at every step?
Division 09 converts upstream technology and data inputs into advanced engineering methods, automated calculations and decision support — sitting between the technology divisions and actual AGL design decisions.
Develop improved methodologies for planning, designing, evaluating and optimizing AGL systems.
Move from:
toward:
Develop standardized tools that automate repetitive engineering calculations.
Automation should improve speed, consistency and traceability, while the engineering basis and acceptance criteria remain controlled.
Introduce reliability engineering into AGL design decisions.
This creates a strong connection with the Failure Database, RCA and Asset Lifecycle framework.
Apply digital engineering methods to commissioning activities.
This directly connects Division 09 with Division 05 — Digital Engineering.
Use actual engineering and operational data to improve AGL decisions.
This should become one of the central philosophies of the Innovation Hub.
Develop tools that assist engineers in creating and validating AGL circuit designs.
Create standardized tools for rapid voltage-drop assessment.
Reduces repetitive manual calculations and improves consistency across projects.
Develop engineering tools that assist in selecting appropriate AGL cable configurations based on defined design inputs and engineering criteria.
The tool should never be treated as an uncontrolled black box. It should provide:
Develop a standardized selection tool for AGL isolation transformers.
The selection engine can connect with the AGL Product Encyclopedia from Division 08.
Develop engineering tools that assist in selecting suitable CCR configurations.
Circuit Design Tool + CCR Product Database + Load Model = Automated CCR Selection
Develop tools that assist with integrated AGL lighting-system design.
This should be a major focus area given the importance of photometry within AGL engineering.
Use digital tools to process, analyze and interpret photometric information.
This connects Divisions 03, 05, 06, 09 and 14.
Develop tools that assist engineers in checking designs and engineering results against defined technical requirements.
Automated compliance checking should be an engineering-assistance tool, not an uncontrolled substitute for applicable standards interpretation or qualified technical review.
Identify the best engineering solution among multiple technically viable alternatives.
Instead of: "Find any compliant design" — move toward: "Find the best technically compliant lifecycle solution."
Design A — lower initial cost but higher maintenance. Design B — higher initial cost but longer service life and lower lifecycle cost. An optimization model should be able to compare the two systematically.
Integrate reliability into the design stage rather than addressing failures only after commissioning.
This connects strongly with the Failure Database + RCA + Asset Lifecycle framework.
Design AGL systems based on the complete lifecycle, rather than initial project cost alone.
Initial Cost + Operating Cost + Maintenance Cost + Failure Cost + Replacement Cost = Lifecycle Cost
This should also incorporate environmental considerations from Division 07 — Sustainable AGL & Green Airports.
Create repeatable digital workflows for AGL engineering design.
Engineer provides: airport geometry, lighting requirements, circuit requirements, design constraints.
System generates: preliminary layout, circuit architecture, equipment schedule, calculations, BOQ, design checks, compliance report.
This should be the highest-level application of Division 09.
Combine engineering rules, historical data, asset information, reliability models and current conditions to support engineering decisions.
The recommended central architecture for Division 09 — from raw engineering input through to a qualified engineer's final approval.
A future integrated workflow spanning the full design chain from airport requirement to final approved AGL design.
Every automated engineering calculation should maintain a traceable record. This is essential if automated engineering tools are eventually used on real projects.
Seven levels of engineering maturity, from traditional manual calculation to fully optimized, data-driven engineering.
To make Division 09 operational rather than theoretical, these registers should be maintained and kept current.
KPIs spanning automation, accuracy, reliability, lifecycle and digital-engineering performance.
Because this division introduces automated calculations and decision-support systems, each engineering tool should have a controlled lifecycle — particularly important for tools that generate cable sizes, transformer selections, CCR selections, compliance results or other engineering outputs.
Division 09 converts inputs from the technology and product divisions into advanced engineering methods, automated calculations and decision support.
Division 09 converts all upstream inputs — smart lighting, AI, IoT, digital engineering, robotics, sustainability and product data — into advanced engineering methods, automated calculations and decision support. It sits as the natural engineering intelligence layer between the technology divisions and actual AGL design decisions.
Automation across circuit design, cable sizing, voltage-drop, transformer and CCR selection should improve speed, consistency and traceability, but engineering tools must never become uncontrolled black boxes — each must expose its input, calculation method, assumptions, result and verification, and each output remains subject to qualified engineering review and technical accountability.
In the overall Innovation Hub, Division 08 creates better AGL products, Division 09 creates better ways to engineer them, Division 04 supplies connected data, Division 03 provides intelligence, and Division 05 provides the digital engineering environment. This gives the framework a clear progression from product innovation → engineering innovation → intelligent engineering decision-making.
Quick answers about Engineering Innovation in the AGL Innovation Hub.
Division 09 is the advanced engineering-methodology and engineering-decision layer of the AGL Innovation Hub. Division 09 targets new AGL design methodologies, automated engineering calculations, advanced reliability models, digital commissioning and data-driven engineering/decision-making — transforming AGL engineering from predominantly manual, experience-based processes into structured, automated, data-driven and reliability-based workflows, while retaining qualified engineering review and technical accountability throughout. It covers 18 topics (ENG-01 to ENG-18).
How do we transform AGL engineering from predominantly manual, experience-based processes into structured, automated, data-driven and reliability-based engineering workflows, while retaining qualified engineering review and technical accountability at every step?
The 18 topics are New AGL Design Methodologies, Automated Engineering Calculations, Advanced Reliability Models, Digital Commissioning, Data-Driven Engineering, Automated Circuit Design, Automated Voltage-Drop Calculations, Automated Cable-Sizing Tools, Automated Transformer Selection, Automated CCR Selection, Automated Lighting-System Design, Digital Photometric Analysis, Automated Compliance Analysis, Engineering Optimization, Reliability-Based Design, Lifecycle-Based Design, Design Automation and Engineering Decision-Support Systems.
Division 09 converts upstream technology and data inputs into advanced engineering methods, automated calculations and decision support — sitting between the technology divisions and actual AGL design decisions.
The recommended central architecture for Division 09 — from raw engineering input through to a qualified engineer's final approval. The steps or layers are: Level 1 — Engineering Input (Airport Geometry, Requirements, Asset Data, Product Data, Historical Data); Level 2 — Engineering Models (Circuit, Load, Reliability, Photometric, Lifecycle); Level 3 — Automation (Calculations, Design, Cable Sizing, Transformer/CCR Selection, Compliance); Level 4 — Optimization (Reliability, Energy, Cost, Maintenance, Lifecycle); Level 5 — Digital Engineering (Digital Design, Commissioning, Digital Twin, Handover); Level 6 — Decision Support (Recommendation, Risk Assessment, Design Selection); Level 7 — Engineer Approval (Human Engineering Review); Approved Engineering Decision.
A future integrated workflow spanning the full design chain from airport requirement to final approved AGL design. The steps or layers are: Airport Requirement; Airport Geometry; AGL Design Input; Automated Lighting Design; Automated Circuit Design; Cable-Sizing Calculation; Voltage-Drop Calculation; Transformer Selection; CCR Selection; Photometric Analysis; Reliability Analysis; Lifecycle Analysis; Automated Compliance Check; Engineering Optimization.
Every automated engineering calculation should maintain a traceable record. This is essential if automated engineering tools are eventually used on real projects. It includes Calculation ID, Project ID, Engineering discipline, Calculation type, Input data, Input source, Design assumptions, Calculation methodology, Applicable requirement, Software/tool version, Calculation result, Warnings, Engineer review, Approval status, Revision and Date.
Seven levels of engineering maturity, from traditional manual calculation to fully optimized, data-driven engineering. LEVEL 1; Manual Engineering; Traditional calculations and design; LEVEL 2; Digital Engineering; Calculations performed digitally; LEVEL 3; Automated Calculations; Standardized calculation tools; LEVEL 4; Integrated Engineering; Design tools exchange information; LEVEL 5; Data-Driven Engineering; Historical/operational data influence decisions; LEVEL 6; Intelligent Engineering; AI/analytics assist engineering decisions; LEVEL 7; Optimized Engineering; Alternatives auto-evaluated against reliability, lifecycle, energy & cost.
To make Division 09 operational rather than theoretical, these registers should be maintained and kept current. It includes AGL Engineering Innovation Register, Automated Calculation Register, Circuit Design Automation Register, Voltage-Drop Calculation Register, Cable-Sizing Tool Register, Transformer Selection Register, CCR Selection Register, Lighting Design Automation Register, Digital Photometry Analysis Register, Automated Compliance Register, Engineering Optimization Register, Reliability Model Register, Lifecycle Design Register, Digital Commissioning Register, Engineering Decision Register and Engineering Tool Validation Register.
KPIs spanning automation, accuracy, reliability, lifecycle and digital-engineering performance. Automation: Percentage of calculations automated, Calculation-processing time reduction, Design-time reduction, Automated design coverage, Automated compliance-check coverage; Accuracy & Quality: Calculation error rate, Design-review findings, Calculation rework, Tool validation status, Engineering-data quality; Reliability: Reliability improvement, Predicted failure reduction, MTBF improvement, Availability improvement; Lifecycle: Lifecycle-cost reduction, Asset-life extension, Maintenance-cost reduction, Energy-performance improvement; Digital Engineering: Digital commissioning coverage, Digital handover completeness.
Because this division introduces automated calculations and decision-support systems, each engineering tool should have a controlled lifecycle — particularly important for tools that generate cable sizes, transformer selections, CCR selections, compliance results or other engineering outputs. Tool Concept Engineering Method Definition Prototype Verification Validation Independent Technical Review Controlled Release User Training Version Control Periodic Revalidation Change Management.
Division 09 converts inputs from the technology and product divisions into advanced engineering methods, automated calculations and decision support. Division 02 — Smart Airfield Lighting → provides intelligent lighting-system requirements; Division 03 — AI for AGL → provides AI-assisted engineering analysis; Division 04 — IoT & Connected AGL → provides operational and equipment data; Division 05 — Digital Engineering → provides digital models, BIM, GIS and digital twins; Division 06 — Robotics & Autonomous Inspection → provides automated inspection and measurement data; Division 07 — Sustainable AGL → provides energy, carbon and lifecycle objectives; Division 08 — AGL Product Innovation → provides product-selection data and next-generation product information; Division 15 — Intelligent Maintenance → receives reliability and lifecycle outputs; Division 25 — Innovation Database & Project Intelligence → stores engineering tools, models, results, validation records and lessons learned; Most Important Design Principle; Division 09 converts all upstream inputs — smart lighting, AI, IoT, digital engineering, robotics, sustainability and product data — into advanced engineering methods, automated calculations and decision support. It sits as the natural engineering intelligence layer between the technology divisions and actual AGL design decisions.
Develop improved methodologies for planning, designing, evaluating and optimizing AGL systems. Areas: New AGL design approaches, Performance-based design, Reliability-based design, Lifecycle-based design, Data-driven design, Digital design, Modular design, Design-for-maintenance, Design-for-reliability and Design-for-energy-efficiency.
Develop engineering tools that assist in selecting suitable CCR configurations. Potential Inputs: Circuit configuration, Load, Circuit characteristics, Required current levels, Intensity steps, System architecture and Equipment requirements.
Combine engineering rules, historical data, asset information, reliability models and current conditions to support engineering decisions. Inputs: Engineering standards/requirements, Asset database, Failure database, Maintenance history, Product database, Test results, Photometry, IoT data, Cost information and Lifecycle information.
Engineering innovation starts with understanding design optimization, systems engineering and continuous-improvement methods applied to AGL. The next step is building the technical knowledge required to evaluate, develop and apply these engineering practices 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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