The Boeing Company (20240278928). SYSTEM AND METHOD FOR PROCESSING PILOT REPORTS simplified abstract
Contents
SYSTEM AND METHOD FOR PROCESSING PILOT REPORTS
Organization Name
Inventor(s)
Umesh Hosamani of Bengaluru (IN)
Ganesh Shabadi of Bengaluru (IN)
Akshay Sankeshwari of Bengaluru (IN)
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) for aircraft flights. An audio voice message from a pilot is converted to a text message, which is then parsed into word/phrase snippets. These snippets are used to populate a PIREP template along with inputs from sensors, creating a completed PIREP that is transmitted to receiving entities outside the aircraft. A machine learning algorithm may be used to determine severity levels and suggested mitigation plans for the PIREP.
- Audio voice messages from pilots are converted to text and parsed into word/phrase snippets.
- PIREP templates are populated with sensor inputs and word/phrase snippets to create completed PIREPs.
- Machine learning algorithms can determine severity levels and mitigation plans for PIREPs.
- The system enables efficient processing and transmission of PIREPs for improved flight safety.
- Integration of sensor data and pilot reports enhances the accuracy and relevance of PIREPs.
Potential Applications: - Aviation industry for enhancing flight safety and efficiency. - Weather forecasting and analysis for better understanding of atmospheric conditions. - Emergency response systems for real-time updates on flight conditions.
Problems Solved: - Streamlining the processing of pilot reports for quicker dissemination of crucial information. - Enhancing the accuracy and relevance of PIREPs through the integration of sensor data and machine learning algorithms.
Benefits: - Improved flight safety through timely and accurate PIREPs. - Enhanced decision-making for pilots and air traffic controllers. - Efficient communication of critical information to relevant parties.
Commercial Applications: Title: Enhanced Aircraft Safety System for Efficient PIREP Processing This technology can be utilized by airlines, aviation authorities, and weather forecasting agencies to improve flight safety, optimize operational efficiency, and enhance emergency response capabilities in the aviation industry.
Questions about the technology: 1. How does the system ensure the accuracy and relevance of the parsed word/phrase snippets in creating completed PIREPs? 2. What are the potential implications of using machine learning algorithms to determine severity levels and mitigation plans for PIREPs?
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.
