Beta Air, LLC

Vincent Moeykens

Alexander Hoekje List

Thomas Henck

Herman Wiegman

Kyle B Clark

David Gerstle

Bernard McCaffrey

A system for voice recognition in autonomous flight of an electric aircraft that includes a computing device communicatively connected to the electric aircraft configured to receive at least a voice datum from a remote device, wherein the voice datum is configured to include at least an expression datum, generate, using a first machine-learning process, a transcription datum as a function of the at least a voice datum, extract at least a query as a function of the transcription datum, generate, using a second machine-learning process, a communication output as a function of the at least a query, and adjust a flight plan as a function of the communication output.

Methods and systems for voice recognition in autonomous flight of an electric aircraft

A system or optimizing a flight plan for an electric aircraft is provided. The system includes, a computing device, wherein the computing device is configured to receive a plurality of measured flight data from a remote device, identify at least an aircraft requirement as a function of the plurality of measured flight data, generate at least a desired flight plan as a function of at least a plurality of measured flight data and the at least an aircraft requirement, and determine an optimized flight plan as a function of the at least a desired flight plan.

Systems and methods for optimizing a controlled flight plan

Flight display screen or portion thereof with graphical user interface

A system for electric aircraft fleet management for at least an electric aircraft is provided. The system includes a computing device communicatively connected to at least an electric aircraft, wherein the computing device is configured to receive measured data from the at least an electric aircraft, generate the aircraft performance model output as a function of the measured data, transmit the aircraft performance model output to a user, receive a flight plan from the user; and manage the at least an electric aircraft using the flight plan.

Systems and methods for fleet management

The present disclosure is generally related to systems and methods for redundant communication in an aircraft. The system may include a primary connection, a secondary connection, and a tertiary connection. The system may include a computing device configured to receive at least a state datum and transmit the at least a state datum using at least a data connection of the plurality of data connections. The at least a network switch may be communicatively connected to the plurality of data connections and configured to select the at least a data connection from the plurality of data connections as a function of the at least a state datum.

Systems and methods for redundant communication in an electric aircraft

A fuel-based flight indicator apparatus for an electric aircraft is illustrated. The apparatus comprises a flight indicator and a computing device communicatively connected to the flight indicator, wherein the computing device is configured to receive a battery datum from a battery sensor located in the electric aircraft, receive an environmental datum from an environmental sensor located in the electric aircraft, determine an indicator datum as a function of the battery datum, the environmental datum, and a flight plan, and display the indicator datum on the flight indicator.

Apparatus and methods for a fuel-based flight indicator apparatus for an electric aircraft

This application discloses an apparatus and method for displaying pilot control authority. This apparatus and method include using a controller to identify a condition of an aircraft and determine a limitation in pilot control authority. Using this, an indicator on a display may show a visual representation of a pilot control authority, the limitations thereof, and a pilot input.

Apparatus and method for displaying pilot authority

A system for automated flight plan reporting for an electric aircraft, the system including a flight controller coupled to the electric aircraft configured to receive a digital datum from a remote device, generate a plan adjustment datum as a function of the digital datum, and transmit the plan adjustment datum to a pilot display, a pilot display coupled to the electric aircraft, wherein the pilot display is configured to receive the plan adjustment datum from the flight controller, display the plan adjustment datum to a user; and receive a confirmation datum from the user.

System and method for automated flight plan reporting in an electric aircraft

A system and method for storing aircraft component information on an immutable sequential listing, wherein the system comprises a computing device configured to identify a plurality of aircraft components, assign a component identifier to each aircraft component of a plurality of aircraft components, generate, for each component identifier, an immutable sequence entry including the component identifier, and store, for each component identifier, the corresponding immutable sequence entry on at least an immutable sequential listing.

System and method for storing aircraft component information on an immutable sequential listing

A assembly for authenticated communication of data during recharge of an electric aircraft is presented. The assembly includes a charging connector, wherein the charging connector is configured to mate with an electric aircraft port of the electric aircraft, and a computing device communicatively connected to the charging connector. The computing device is configured to establish a communication link with an electric aircraft, receive an authentication datum from the electric aircraft, verify the authentication datum as a function of an authentication module, and transmit an aircraft update datum to the electric aircraft as a function of the verification of the authentication datum.

Assembly for authenticated communication of data during recharge of an electric aircraft

Embodiments of the systems and methods disclosed herein describe a data verification of electrical electric components and software systems electronically or mechanically coupled to the electric aircraft by a novel process which starts an electric aircraft and receives physical and software information for each aircraft component or system and determines the status of the health of each of those components or systems. An embodiment may further include a monitoring system configured to measure a plurality of data from each aircraft component and a flight controller communicatively coupled to the monitoring system, wherein the data verification can be performed by the flight controller. Further embodiments may include the flight controller generating an output datum from the assessment produced by the data verification and displaying it to a pilot via an output device.

Systems and methods for data verification at start up

A system and method for verifying an aircraft component on an immutable sequential listing is presented. The system comprises a computing device configured to identify an aircraft component of a plurality of aircraft components, wherein each aircraft component of a plurality of aircraft components is associated with a component identifier and verify the aircraft component on an immutable sequential listing as a function of the component identifier.

System and method for verifying an aircraft component on an immutable sequential listing

A system for optimization of a recharging flight plan for an electric vertical takeoff and landing (eVTOL) aircraft. The system includes a recharging infrastructure. The recharging infra structure includes a computing device. The computing device is configured to receive an aircraft metric from a flight controller of an eVTOL aircraft, generate a safe approach plan for the eVTOL aircraft as a function of the aircraft metric, and transmit the safe approach plan to the eVTOL aircraft for execution by the eVTOL aircraft. A method for optimization of a recharging flight plan for an eVTOL aircraft is also provided.

Systems and methods for optimization of a recharging flight plan for an electric vertical takeoff and landing aircraft

A system for determining areas of discrepancy in flight for an electric aircraft is presented. The system includes a plurality of sensors, wherein each sensor is communicatively connected to a flight component and configured to detect a measured flight and generate a flight phase datum. The system further includes a computing device communicatively connected to the plurality of sensors, wherein the computing device is configured to determine, by a flight phase machine-learning model, a flight phase discrepancy datum. The computing device is configured to train the flight phase machine-learning using a flight phase training set, wherein the flight phase training set correlates a flight phase to a flight standard and output the flight phase discrepancy datum. The computing device is further configured to identify an anomalous performance phase as a function of the flight phase discrepancy datum and generate a discrepancy response.

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Burlington, VT, United States of America

Vincent Moeykens