The Boeing Company

Hilna Sahle

Andre Lutz

Jonas Schulze

Michael Gottscheck

Rahul Ashok

Andreas Godehart

Daniel Artic

Brian M Yutko

Hubert Wong

Anna-Lisa Mautes

David Raymond

Michael J Browne

Mirza Maznikar

Nicholas Applegate

Nadine Akari

Neil Titchener

Lisa Liu

Systems and methods are provided for dynamically modeling and depicting overall emissions of the aviation industry and changes thereto when taking into account, for example, traffic growth and introduction of sustainability strategies, such as new and/or improved technologies, an increase in operational efficiency, and carbon offsets. Using the dynamic tool described herein, users can define scenarios on how to reduce emissions through the introduction of different sustainability strategies, both statically and over time, analyze the impact of those strategies on emissions, and understand the dependencies between select strategies.

System and method for dynamic display of aircraft emissions data

The present disclosure generates a digital twin of the interior of a vehicle to initiate and track maintenance issues. In one aspect, the digital twin is formed using multiple captured images of the interior of the vehicle where multiple components in those images are identified using a machine learning (ML) model. The components identified by the ML model are then mapped to a model (e.g., a 3D model) of the components that lists their location in the vehicle and an identifier (e.g., a part number or serial number). In this manner, the digital twin can identify, using the identifiers, the various components in the images captured by a camera.

Digital twin generation and logging for a vehicle

Growing community of inventors

Darmstadt, Germany

Hilna Sahle