SYSTEM AND METHOD FOR PROCESSING PILOT REPORTS

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SYSTEM AND METHOD FOR PROCESSING PILOT REPORTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240278928 titled 'SYSTEM AND METHOD FOR PROCESSING PILOT REPORTS

The abstract describes a system and method for processing pilot reports (PIREPs) in aircraft, where an audio voice message from a pilot is converted to text, parsed into word/phrase snippets, and used to populate a PIREP template for transmission to receiving entities outside the aircraft. A machine learning algorithm may determine severity levels and mitigation plans for the PIREP.

Audio voice messages from pilots are converted to text for processing.
Word/phrase snippets from the text are used to populate a PIREP template.
Machine learning algorithms can determine severity levels and mitigation plans for the PIREP.
The completed PIREP is transmitted to entities outside the aircraft.
Sensors associated with the aircraft provide inputs for the PIREP.

1. 1. Potential Applications:

This technology can be used in aviation for efficient processing and transmission of pilot reports, improving communication and safety in flight operations.

1. 1. Problems Solved:

Streamlines the process of creating and transmitting pilot reports, enhances communication between pilots and ground entities, and aids in identifying and addressing potential issues during flights.

1. 1. Benefits:

Enhanced efficiency in processing pilot reports, improved safety measures through timely communication of flight information, and optimized decision-making based on severity levels and mitigation plans determined by machine learning algorithms.

1. 1. Commercial Applications:

"AI-Powered Pilot Report Processing System for Enhanced Flight Safety and Communication" can be utilized by airlines, aviation authorities, and aircraft manufacturers to streamline PIREP handling, improve safety protocols, and enhance overall flight operations efficiency.

1. 1. Questions about AI:

1. How does the machine learning algorithm determine severity levels for the completed PIREP? 2. What are the key factors considered by the system in suggesting mitigation plans for the PIREP?

Original Abstract Submitted

a system and method are provided for processing a pilot report (pirep) for a flight in an aircraft. an audio voice message is received from a pilot, and inputs are received from one or more sensors associated with the aircraft. the audio voice message is converted to a text message, and the text message is parsed into one or more word/phrase snippets, wherein each of the one or more word/phrase snippets comprises one or more words and/or one or more phrases. a pirep template is populated with the one or more inputs and with a subset of the one or more word/phrase snippets, thereby creating a completed pirep. the completed pirep is then transmitted to one or more receiving entities outside the aircraft. a model trained by a machine learning algorithm may be used to determine a severity level and a suggested mitigation plan for the completed pirep.