Boeing had 24 patents in digitalization during Q3 2023. The first patent is for a system that dynamically selects the best aeronautical data provider based on the quality of the data received from different providers. The selected provider’s data is then exposed to the end user according to specified parameters.
The second patent is for a method that involves monitoring a machine using a smart digital twin (SDT) that includes modules for data storage, logic, and models of the machine. Data analytics is performed on the machine’s operating conditions to determine its state, which is then compared to the machine’s requirements. Based on this comparison, a maintenance action is identified and updated in the SDT, and an indication of the maintenance action is output for implementation on the machine. 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 digitalization as a theme is 75% 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 along the boundary where the streams overlap. 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, with overlapping data streams.
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 from that provider 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. describes 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 selected data provider's stream is then exposed to an end user based on specific parameters.
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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.
