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Avionics can be simply defined as electronics designed for use in
aerospace vehicles, and avionics are the fundamental technology in
flight deck systems. Examples include communication, navigation, and
surveillance (CNS) and vehicle monitoring systems. The overarching
challenge to avionics presented by our Level 3 concepts (Sensing, Signal
Processing and Hazard Characterization) is to develop a comprehensive
system for integrating information from various sources for distribution
to many agents, and to do so with a quality of service (e.g. integrity)
commensurate to its use. Level 2 work conducted under this element is
specifically concerned with required advances in state-of-the-art
avionics and avionics functions, for the purpose of making possible and
practical the safest NextGen-capable cockpit.
Research within this topic considers the avionics elements of the flight
deck system from the perspective of an information system. Research at
this level does not develop components or ‘back boxes’ per se. Rather,
we investigate the development of high-level functions and systems that
integrate the requisite avionics components and their associated
products. Integrating components in this case means the incorporation of
data and the coordination of function. In the NextGen cockpit, the
product of the avionics system is a dynamic information management
capability that can be drawn upon to support the human interface as well
as supply other systems (e.g. control systems) with context-relevant
data on demand. Our research considers, in particular, the concept of an
Integrated Alerting and Notification (IAN) function that continuously
monitors information from all available sources to evaluate hazard
potential and other constraints on normal operations. Research in this
topic is centered on the experimental development of such an IAN
function, primarily in the form of a modeling and simulation
environment. Two subtopics support study of an IAN design that can
provide for safe NextGen operations:
- information collection and management for reliability and integrity of service; and
- information processing for decision support.
Associate Principal Investigator: Robert Neece
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