The Impact of Artificial Intelligence on Naval Platform and System - - PowerPoint PPT Presentation

C.D.Burnside Rotterdam | May 2020

The Impact of Artificial Intelligence on Naval Platform and System Design

Premise of Research

• Assess onboard and offboard naval combatant platform functions and identify those

which can be enhanced significantly by the implementation of intelligent techniques

• Identify the intelligent techniques proposed to facilitate the perceived step-changes in

capability and value proposition

• Identify the risks associated with the adoption of intelligence within the functions

proposed

Three Generations of Artificial Intelligence

• Artificial Narrow Intelligence (ANI) – machine intelligence that equals or exceeds human

intelligence for specific tasks;

• Artificial General Intelligence (AGI) – machine intelligence meeting the full range and

capability of human performance across any task;

• Artificial Super Intelligence (ASI) – machine intelligence that exceeds human intelligence

across any task.

Applicable AI Approaches & Techniques

Neural Networks Prescriptive Analytics Reinforced Learning Natural Language Processing Predictive Analytics Robotics Bayesian Neural Network

Convolutional Neural Network

Layered Modular Neural Network Long Short- Term Memory Anomaly Detection Fuzzy Logic Machine Perception Ant Colony Optimisation Automation Semantics Analysis

Concurrent, Complimentary Technology

Propulsion

• Battery Technology
• Supercapacitors/Ultracapacitors
• Energy Harvesting

Navigation

• Simultaneous Localisation and Mapping
• Quantum Positioning
• Automated Celestial Navigation

Firefighting

• Hypoxic Air
• Inergen Systems
• Distributed Sensors

Communication

• 5G
• SATCOM Developments
• Optical Communications

Security

• Adaptive, Fluid Security

Architectures

• Quantum Key Distribution

Functional Breakdown

• > 140 functions assessed
• Categorised within 6 functional

domains –

• Warfare
• Navigation
• Platform Management
• Recoverability
• Logistics
• Maintenance

Warfare

Intelligent systems to deliver:

• Perform sharper anomaly detection
• Relieve personnel of the cognitive stresses and strains of making high profile, high impact decisions
• Eliminate human-induced error and uncertainty
• Team with the human to compliment their skills and capabilities and improve overall output
• Counter threats from weapons which compress the decision making time beyond the threshold of a

human

Command & Control Target Acquisition Target Classification Target Tracking Sensor Data Analysis Behaviour Prediction of Hostile Systems Close Proximity Force Protection Target Prosecution Above Water Soft Kill Electronic Warfare Below Water Soft Kill Hard Kill Signature Management Analysis of SIGINT

Navigation

Intelligent systems to deliver:

• Conduct fully autonomous navigation
• Perform evasive, defensive and tactical manouevres
• Conduct navigation planning activities
• Support decision to and definition of re-routing and course correction
• Team with the human to support the undertaking of the above
• Collaborate and share data with other platforms to assist in optimising of route plans

Navigation Planning Navigation Execution Defensive Manoeuvres Tactical Manoeuvres Complex Manoeuvres Control Dynamic Platform Motions

Platform Management

Intelligent systems to deliver:

• Recommend optimum efficiencies for power and propulsion
• Exploit mission data to predict requirements for optimum efficiency
• Automate machinery control to reduce operator workload
• Automation via robotics for deck operations to reduce personnel numbers

Power Generation Management Fuelling of Boats and UxVs Power Distribution Optimisation Fuelling of Aircraft Conduct Lifting and Handling Operations Optimise Equipment Operation Safe Recovery

• f Air Assets

Safe Recovery

• f Sea Assets

Recoverability

Intelligent systems to deliver:

• Collect information and conduct damage assessment to present operators with a clear damage

control picture

• Recovery prioritization and recommendations to reduce operator workloads
• Automate recovery functions to reduce personnel and minimise exposure to hazards

Damage Control Command & Control Damage Detection Damage Containment Fixed Firefighting Systems Modelling and Display of Platform Damage Reconfigure Damaged Systems

Logistics

Intelligent systems to deliver:

• Monitor, track and predict onboard consumables, stores and spares
• Monitor, track and predict consumables within integrated logistics supply chain
• Automate some stores or munitions retrieval applications
• Automate fueling for unmanned platforms

Conduct Watch Underway Replenishment Stores Management Consumables Management

Maintenance

Intelligent systems to deliver:

• Timely prediction of equipment failure and maintenance
• Automate systems operation to optimise availability and account for failure
• Undertake maintenance via robotics
• Enact reversionary or fall-back modes in cases of degradation or failure

Routine Maintenance Planning Monitor Systems for Failure Indicators Reactive Maintenance Planning

Key Risk Themes

• Data quality – particularly in respect to

current systems’ ability to record data to ‘educate’ learning systems

• Using intelligent systems in high complexity,

high interdependency systems

• Assuring and understanding system

transparency and certainty

• The ability of intelligent systems to consider

all permutations

• Achieving accreditation and certification,

especially where the system is making safety-critical decisions in terms of accountability and safety integrity

• Protracted test & assurance regimes with

difficulty in defining an ‘end’

• Risk, cost and user appetite to include new

technologies in acquisition programmes

• Potential magnitude of SWaP margins and

high system complexity

• Heightened levels of vulnerability and

susceptibility

• Networking philosophy demanding complex

and convoluted architectures

• ‘Ripple Effect’ throughout the enterprise

Key Opportunity Themes

• Shortening of decision times and hence

delay

• Reducing or eliminating error and uncertainty
• Relieving personnel of cognitive stress and

strain

• Appropriate teaming arrangements to
• ptimise output
• Reductions in personnel numbers
• Extension of platform operating envelope
• Effective countering of large swarm threats
• Reducing or eliminating hazardous and/or

manual activities

• Functional performance optimisation
• Cross-platform collaboration
• Potential for competitive advantage in hotly

contested fields

Platform Design

Topside transmitter and receiver conflicts Greater margin demand to automate launch and recovery of boats and UXVs Platform and system arrangement philosophies System architectures for automated recoverability and enhanced redundancy System architectures

• ptimised for maximum

availability including enhanced redundancy Increase in weight and installation effort for network infrastructures Enhanced fire and flood containment arrangements Additional space and weight and for automated magazine handling and deck systems

Evolutionary versus Revolutionary Transformation

Looking ahead…

To be completed

Thank you