ABS

ABS Marine Product Training Matrix

Comprehensive Instructional Design, Technical Specs, & Implementation Roadmap (2026-2027)

24-Month Implementation Roadmap

Months 1–6 (2026)

Phase 1: The "Digital Core"

Focus: Establishing the data backbone for AI and Digital Twin products.

• Products Covered: Voyage Opt (1), Autonomous Nav (3), Predictive Twin (4).
• Key Artifacts: Unified API Documentation, High-Fidelity 3D Vessel Scans.
• Milestones: Data Loop Alpha (April), ToA Prototype (June), Twin-Sync Beta (July).

Months 7–15 (2026-2027)

Phase 2: The "Energy Transition"

Focus: Building complex chemical and fluid dynamic simulations.

• Products Covered: Modular Carbon Capture (2), Air Lubrication Retrofits (6).
• Key Artifacts: Thermodynamic P-T solver for LCO2, Bubble-drag physics engine.

Months 16–24 (2027)

Phase 3: "Structural & Heavy Assets"

Focus: Logistics, manufacturing, and mechanical reliability.

• Products Covered: Seawater Bearings (5), ML for Additive Mfg (7), Floating Wind (8).
• Key Artifacts: Haptic 3D maintenance modules, Flat-pack assembly sequencing logic.

Product Portfolio & Artifacts

Virtual Testing Frameworks for Autonomous Navigation

Simulator Digital Twin

Training Remote Operations Center (ROC) roles to handle sensor fusion algorithms and system handovers during edge-case scenarios.

Scenario Script: "The Blind Guardian" (ToA)

Objective: Train operator to detect sensor divergence (Rain-Fade) and execute manual override.

• The Trigger: Heavy rain causes LiDAR/Camera to lose track of a non-AIS wooden bumboat. Radar still sees it, but AI marks it as "noise".
• Intervention: Operator must hit "Take Control" within 45 seconds and execute a 15° starboard turn.

Competency Rubric

KPI	Pass Criteria	Critical Failure
Situational Awareness	< 8 seconds to detect Amber Alert	Failure to acknowledge > 20s
Decision Speed	< 5 seconds from diagnosis to manual	Hesitation leading to low CPA

Technical Data Specification

• Solid-State Radar (1.0 Hz): Functional during rain.
• LiDAR (10-20 Hz): Point density drops 85% during squall.
• Latency Injection: 250ms - 500ms lag added to simulate VSAT.

Flat-Pack Floating Offshore Wind Platforms

Classroom Digital Twin / Sim

Transitioning from horizontal towing to vertical operations via precision ballasting and modular logistics.

Scenario Script: "The Vertical Pivot"

Objective: Execute sequential ballast transfer to upend the platform within ±2° verticality.

• Pre-Flight: Run "Coupled Load Analysis" to ensure Metacentric Height (GM) remains positive.
• The Pivot: Manage "Free Surface Effect" as water pumps from transport tanks to aft columns.

Modular Assembly Curriculum (Classroom)

Instructions for Shipyard Assembly Teams:

• The "Tolerance Stack-up" Chart: Focus on Dimensional Control.
• Stage 3 (Grand Block Joinery): Merging 3 main columns; requires 100% NDT coverage.

Modular Onboard Carbon Capture Systems (OCCS)

Classroom Simulator

Introducing complex chemical refinery processes and high-pressure liquid CO2 logistics to the engine room.

Classroom: The "Amine Cycle" Mastery Guide

• Energy Balance Worksheet: Calculating the parasitic load on the main engine.
• CO2 Phase Diagram: Understanding the "Triple Point" to prevent dry ice blockages in pipes.

Sim Scripts: Solvent Carry-Over & Port Offload

1. Solvent Carry-Over: Sudden sulfur change causes chemical foaming. Student must inject Anti-Foam and reduce gas flow.

2. High-Pressure Offload: Connecting liquid and vapor-return arms. Managing pressure spikes to avoid a "Liquid Slug" event during ship-to-shore transfer.

Air Lubrication Retrofit Kits

Classroom Simulator

Managing the physics of micro-bubbles to ensure net-positive fuel savings via friction reduction.

Simulator Script: "The Sweet Spot Hunt"

Objective: Re-attach the air carpet after a sea-state change.

Student must manually adjust slat openings and compressor RPM to prevent air from escaping the hull sides. Success yields a 6-8% drop in main engine load.

Sterntubeless Seawater-Lubricated Bearing Systems

3D Digital Twin Classroom

Replacing traditional oil systems with open-loop seawater designs requiring afloat maintenance.

Digital Twin Training: "Virtual Inspection"

• Poker Gauge Sim: Measure clearance. If > 8mm, trigger replacement workflow.
• Segment Extraction: Sequence removal of plates in a cramped, virtual 3D aft-peak tank environment. Must simulate the 50kg weight of the segment.

Predictive Digital Twin Solutions

Data API Master Dashboard

The centralized prognostic tool combining physics-based and data-driven models for the entire fleet.

The "Time-Machine" Simulation

Objective: Manage asset risk over a 5-year dry-dock cycle.

Student accelerates a "Time Bar" to see hyper-speed component degradation (e.g., OCCS solvent, Wind turbine fatigue) and makes Total Cost of Ownership (TCO) maintenance decisions.

Phase 1 Project Charter & Budget (Ref: PC-2026-AN-001)

View Executive Charter & Financials

Primary Deliverables

1. Unified Marine API: Standardized data bus for NMEA/LiDAR.
2. "Time-Travel" Engine: Accelerated wear-and-tear simulation logic.
3. ToA Interface: Physical/digital manual override with haptics.

CAPEX Request (Ref: AF-2026-001)

Item	Purpose	Cost (USD)
GPU Compute Cluster (4x RTX 6000)	Real-time LiDAR point cloud & AI inference	$32,000
HIL Rig (Marine PLC)	Testing physical switch latency for ToA	$15,000
10x VR/AR Headsets	Afloat maintenance & spatial training	$12,000
Edge Gateway Sensors	IoT mappings to Digital Twin	$8,000
Software & Cloud (Annual/Mo)	Azure/AWS Hosting, Unity Enterprise, NMEA Sim	$12,000
Total Initial Investment:		$79,000

*Note: Hardware must be housed in an ABS Cyber-Safety secured environment.