A system and method for displaying dynamic time-based ranging over a moving map determines position, heading, and airspeed information of an ownship. Based on the positioning information of the ownship, the moving map projects the ownship forward in time and superimposes on the moving map (which may already include distance-based ranging information) time-based ranging information indicating a projected range of positions of the ownship at future or subsequent times relative to the current time. The displayed time-based ranging indicators may be arcuate in shape but adjusted to account for dynamic factors such as headwinds or tailwinds that may affect the time required for the ownship to reach a target at a given distance.

A system may include a display and a processor. The processor may be configured to: break down two-dimensional weather radar reflectivity data into cells, each cell of the cells having a maximum rainfall rate location and a geometric area; prioritize the cells based at least on each cell's proximity to the aircraft, each cell's intensity, each cell's growth rate, each cell's storm top altitude relative to the aircraft altitude, and/or a threat convective level of the cell to select a highest priority cell; and output, to the display, a highest priority azimuth slice vertical radar image of the two-dimensional weather radar reflectivity data as graphical data, the highest priority azimuth slice vertical radar image corresponding to an azimuth slice of the two-dimensional weather radar reflectivity data for the highest priority cell. The display may be configured to display the highest priority azimuth slice vertical radar image.

A method may comprise receiving a request for a first set of data to be gathered by an unmanned aircraft system, identifying a first unmanned aircraft system capable of gathering the first data, transmitting a request to the first unmanned aircraft system to gather the first set of data, and receiving the first set of data gathered by the first unmanned aircraft system.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for unmanned aerial vehicle authorization and geofence envelope determination. One of the methods includes determining, by an electronic system in an Unmanned Aerial Vehicle (UAV), an estimated fuel remaining in the UAV. An estimated fuel consumption of the UAV is determined. Estimated information associated with wind affecting the UAV is determined using information obtained from sensors included in the UAV. Estimated flights times remaining for a current path, and one or more alternative flight paths, are determined using the determined estimated fuel remaining, determined estimated fuel consumption, determined information associated wind, and information describing each flight path. In response to the electronic system determining that the estimated fuel remaining, after completion of the current flight path, would be below a first threshold, an alternative flight path is selected.

A method for assisting in the piloting of an aircraft during a mission, the method being implemented by computer and includes a step of calculating events by a plurality of application components or capabilities, each capability having a competency domain and being configured according to one and the same logic format, the events being calculated based on data acquired from various certified or non-certified avionics sources and/or from various sources external or internal to the aircraft; a step of calculating the impact on carrying out the current mission of the aircraft, based on at least one calculated event; an impact processing step; and a step of determining at least one solution for adapting the current mission of the aircraft.

Disclosed are methods, systems, and non-transitory computer-readable media for detecting wind shear conditions in an urban airspace. For instance, the method may include obtaining aircraft information related to an aircraft in the urban airspace, accessing three-dimensional building information corresponding to the airspace, obtaining wind speed and direction data from a plurality of sensors provided about the airspace, and detecting wind shear conditions in at least a portion of the airspace based on the obtained wind speed and direction data. The method may further include determining real-time flight safety parameters in the portion of the airspace based on the wind shear conditions detected in at least the portion of the airspace, analyzing the determined real-time flight safety parameters along a designated flight path through the portion of the airspace to determine whether an unsafe flight condition exists, and transmitting the analysis to the aircraft or a remote operating station.

An automated system is provided that receives and utilizes travel related data from unmanned aerial vehicles (“UAVs”) for optimizing the scheduling and routing of deliveries by UAVs. Travel routes through delivery areas are planned and when it is determined that a first UAV has deviated from a planned travel route to avoid a location in an area, a second UAV (e.g., which may have additional sensors and/or recording capabilities) may be sent to collect updated travel related data regarding the location. The updated travel related data (e.g., which may indicate that there is a new obstacle, a source of magnetic interference, a wind, etc. at the location) may be utilized for planning future travel routes for deliveries.

Aircraft flight route determination systems and methods include a route determination control unit that analyzes route data over a selected timeframe to determine one or more efficient routes for aircraft to fly between a first airport and a second airport.

A system for providing a smart, self-healing blockchain-based data exchange data storage device within a self-healing node centric blockchain mesh network, a smart self-healing data exchange device being within one or more universal computing nodes within a self-healing node centric blockchain mesh network is disclosed. The smart self-healing data exchange device being contained within one or more universal computing nodes within a self-healing node-centric blockchain mesh network. The smart self-healing blockchain data exchange device includes a blockchain processor for storing and maintaining a set of blockchain data records stored within a blockchain ledger, each blockchain data record within the set of blockchain data records having a blockchain ID, a universal computing node ID, a bundle of digital access rights, and content data, and an instantiation of the blockchain ledger communicatively coupled to the blockchain processor is stored within a plurality of the one or more universal computing nodes within a self-healing node centric blockchain mesh network. The bundle of digital access rights provides for rights and privileges associated with blockchain data records that can be divided by use, terms, and ownership.

A system for providing a universal computing node for use in a smart self-healing node centric blockchain mesh network includes one or more programmable processing components, a communications network interface for communicating over the Internet, one or more local sensors, a blockchain ledger, a data store of useful data from the local sensors, AIML processing components, specific local functions to support one or more local hardware functions, and a local data store. The one or more programmable processing components execute a set of software components within the universal computing node that include a node controller for coordinating the interaction and processing of the set of software components when generating, storing, and retrieving blockchain data records, a web interface for transmitting and receiving data between the universal computing node and one or more additional universal computing nodes and one or more servers connected to the smart self-healing node centric blockchain mesh network, the blockchain processor for generating blockchain data records to be stored within the blockchain ledger, and a sensor interface for receiving data to be stored within one or more blockchain data records.