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Decision support system for aircraft requiring emergency landing

A technology for emergency landing and aircraft, applied in the field of artificial intelligence systems, can solve problems such as time delay and reduce the safety of aircraft landing

Pending Publication Date: 2022-06-28
GE AVIATION SYST LLC
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, relying on ground controllers initiated / operated by ground controllers, ground control studies, and all introduces time delays; such time delays can have a significant impact in emergency situations and reduce the likelihood of an aircraft landing safely

Method used

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  • Decision support system for aircraft requiring emergency landing
  • Decision support system for aircraft requiring emergency landing
  • Decision support system for aircraft requiring emergency landing

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Embodiment Construction

[0029] The following detailed description is merely exemplary in nature and is not intended to limit the systems and methods, elements or steps of the systems and methods, applications of the systems and methods, and uses disclosed herein. Further, there is no intention to limit or limit the scope to any theory presented in the preceding background or summary, as well as the following detailed description.

[0030] I. TERMS, EMBODIMENTS AND SCOPE

[0031] What this article will understand is:

[0032] The description of various embodiments may use "comprising" language, indicating that the systems and methods may include certain elements or steps described; however, the systems and methods may also include things that are not described, or may be described in conjunction with other embodiments, or Other elements or steps may only be shown in the figures, or known in the art, as necessary for the functioning of the processing system. However, those skilled in the art will app...

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Abstract

A system and method that assists an aircraft pilot in fast decision making in the event of a need for flight steering at low altitudes due to emergency situations (e.g., thrust loss). Once an emergency need for steering is detected, the system and method generates a list of selectable airports that the aircraft can reach, taking into account: (i) the current condition of the aircraft; (ii) real-time emergency time simulation of constantly changing conditions of the aircraft; (iii) an environment of a potential landing point; (iv): the environment on the flight path flying to these sites. For reachable potential airports, the systems and methods provide confidence scores for successful landing for selectable simulated landing options. For the current flight path and each simulation, the simulation and confidence score take into account the aircraft position, altitude, speed, and further problems that the aircraft may have.

Description

technical field [0001] The present invention relates to the fields of aviation, event simulation and prediction, and artificial intelligence systems for decision support. The present invention further relates to providing real-time emergency modeling and evaluating different potential safe landing options to support aircraft pilots responding to flight emergencies. Background technique [0002] On aircraft, including but not limited to aircraft, various emergencies may arise during the intended flight routine. [0003] In particular, during low altitude flight (eg, during takeoff or landing), the aircraft may experience emergency situations including a sudden drop in thrust generated by the engines. A reduction or loss of engine power may require an unexpected and time-critical transfer from the intended flight path to a safe, previously unplanned local landing site. [0004] The most severe situation may require the pilot to attempt to land the aircraft on any nearly flat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G5/02B64D45/04
CPCG08G5/025B64D45/04G08G5/0056G08G5/0021G08G5/0039B64D43/00B64D45/00B64D45/08G01C23/005G05B17/02
Inventor 梅诺尔夫·塞尔曼王天一保罗·E·卡迪西万利希·V·姆尔瓦德
Owner GE AVIATION SYST LLC
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