Boeing had 27 patents in artificial intelligence during Q3 2023. These include a dynamic selection system for choosing the best aeronautical data provider based on quality and parameters, a cabin crew assist method that translates passenger messages to crew target text, a method for avoiding conflicts during flight using reinforcement learning, and a machine learning model for predicting reroutes for planned flights based on reroute and weather data. GlobalData’s report on Boeing gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Boeing grant share with artificial intelligence as a theme is 33% in Q3 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Dynamic selection of an aeronautical data provider (Patent ID: US20230273906A1)
The patent filed by The Boeing Co. describes apparatuses, methods, systems, and program products for dynamically selecting an aeronautical data provider. The apparatus includes a processor and memory that stores code to receive streams of aeronautical data from multiple data providers located in different geographic locations. The code then determines the quality of each stream by comparing it to data from a secondary data source with a known quality. The apparatus selects the data provider whose stream is closest to the secondary data source and exposes the aeronautical data from that provider to an end user based on certain parameters.
The patent also includes claims that further elaborate on the apparatus and method. Claim 2 states that the code can normalize the data from each stream of aeronautical data, while claim 3 mentions grouping the normalized data based on data attributes such as latitude, longitude, heading, altitude, speed, time of day, date, and geographic location. Claim 5 specifies that the quality of each stream is determined by calculating the proximity of data points to the corresponding points in the secondary data source.
Claim 7 introduces the concept of training a machine learning model using the selected data provider's stream to predict which data provider to choose based on the parameters. Claim 9 suggests determining the quality of the received streams on a per-attribute basis and exposing the data accordingly. Claim 10 mentions that the data providers can be data repositories providing streams of aeronautical data for multiple flights.
The patent also includes a method that aligns with the apparatus described. The method involves receiving streams of aeronautical data from multiple data providers, determining the quality of each stream by comparing it to a secondary data source, selecting the data provider with the closest stream to the secondary data source, and exposing the data to an end user based on parameters.
Lastly, the patent describes a system that includes multiple data repositories streaming aeronautical data from different locations. The system includes an on-board flight controller with a processor and memory that stores code to receive the data streams, determine their quality, select the data repository with the closest stream to the secondary data source, and expose the data to an end user based on parameters.
In summary, the patent filed by The Boeing Co. presents a system and method for dynamically selecting an aeronautical data provider based on the quality of their data streams compared to a secondary data source. The invention aims to provide accurate and reliable aeronautical data to end users by selecting the most suitable data provider.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
