DC-ARM Supervisory Control System Development: Phase 1

Abstract

This report describes the first phase of work to develop technology for automated supervisory control of damage control (DC) aboard Navy ships. The primary performance goals of the Supervisory Control System (SCS) are to: enable situation awareness for a human supervisor to initiate preemptive actions and control damage by monitoring the automated response of ship systems. Phase 1 of the DC-S CS development addresses the logical architecture for control decisions and the physical and logical actions needed to enable effective situation awareness for damage control. Guidelines are defined for a modular control architecture to achieve, in a cost-effective manner, the goals of survivability, reliability, robustness, maintainability, and operability. The architecture for the control decision logic is defined from the level of individual components within the ship systems to the level of the total ship. A functional analysis method is then used to define the specific requirements of the individual control decision elements in the control system architecture. The method also defines complementary requirements for ship systems to support the control decision requirements. Design methods are defined so that ship system designers may apply the SCS technology effectively in Navy ships.

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Document Details

Document Type
Technical Report
Publication Date
Jun 26, 2000
Accession Number
ADA379381

Entities

People

  • M. Bradley
  • R. Downs
  • Sean Burns
  • T. Lestina
  • T. Sheridan

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Counter WMD
  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Cognitive Systems Engineering
  • Computational Science
  • Computers
  • Control Systems
  • Detection
  • Fire Extinguishers
  • Human Factors Engineering
  • Human Systems Integration
  • Maintenance
  • Maintenance Personnel
  • Organizational Structure
  • Personnel Management
  • Reliability
  • Situational Awareness
  • Supervisory Control
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Robotics and Automation.
  • Software Engineering.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.