Published October 5, 2020 | Version v1
Conference paper Open

Platform Intelligence and Control – What Does the Future Look Like?

  • 1. BAE Systems, UK
  • 2. GE, UK

Description

Throughout the years since the advent of the electronic computer, the speed of processing and availability of memory have increased at a consistent rate in line with the perception of ‘Moore’s Law’, that the number of transistors on a microchip doubles every two years though the cost of computers is halved.
As this availability of computing power has increased, as has the desire of engineers to monitor, record and analyse increasing aspects of equipment. This desire has led to increasingly complex monitoring and recording systems, with increasingly complex control system to attempt to analyse and present this information in a useful manner.
The systems that perform this function have become increasingly complex, and with the complexity come cost, and programme risk, with these systems now approaching or on the critical path. These systems now combine many functions including: providing indication to an operator, recording data for incident analysis, tracking data for maintainers, providing condition assessments, automated control of functions, and now approaching full automated control of the entire platform.
With the relentless progression towards ever bigger data, what should the intelligence and control system of the future look like? This paper seeks to explore the options that may be, or become, available in regard to how the hardware is selected and configured: how data is collected, sorted and prioritised: how security and integrity of data is embedded; how the requirements of data integrity and security are met without imposing the most demanding requirements on all elements.
While a definitive answer is unlikely to exist, the issues are becoming more well-known and the impacts keenly felt across our industry.

Files

INEC_2020_Paper_44.pdf

Files (1.3 MB)

Name Size Download all
md5:42993dd8773b55410ff6b86780d26bba
1.3 MB Preview Download

Additional details

References

  • Moculski J. and Malina R.: Naval Open Architecture Machinery Control Systems for the Next Generation Integrated Power Systems. Presented at the Electric Machines Technology Symposium (EMTS) 2012, MAY 23-24 2012, Philadelphia, PA
  • Poole, David; Mackworth, Alan; Goebel, Randy (1998). Computational Intelligence: A Logical Approach. New York: Oxford University Press. ISBN 978-0-19-510270-3.
  • B. Lewis, P. Feiler, and D. Redman, "Model Based Engineering to System Architecture Virtual Integration (SAVI) with Demonstration." 2009.
  • Wright, S. and Grazebrook. A.: Real-time simulation of large aircraft fuel systems. In: Proceedings of 31st European Simulation and Modelling Conference, Lisbon, Portugal, 25-27 October 2017.
  • DoD. (2013, June). DoD open systems architecture contract guidebook for program Managers.
  • Kristin E. Schaefer, Deborah R. Billings, James L. Szalma, Jeffrey K. Adams, Tracy L. Sanders, Jessie Y. C. Chen, and Peter A. Hancock. (July, 2014) A Meta-Analysis of Factors Influencing the Development of Trust in Automation: Implications for Human-Robot Interaction.
  • Nickolas H. Guertin, Dr. Paul Clements. (May, 2010). Comparing Acquisition Strategies: Open Architecture versus Product Lines.
  • Royal Navy (September, 2019). Royal Navy Digital and Data Strategy (September, 2019).
  • Nazrin Wilkinson (November, 2019). About the Royal Navy's NELSON.
  • David B Larter (December, 2019). US Navy to get large unmanned surface vessels in 2020 – with strings attached.
  • Sebastien Roblin (November, 2019). Will Drone Swarms Render the Submarine Obsolete?
  • HI Sutton (February, 2020). Submarine Game Changer: Russian Atomic Drones?