A dynamic satellite map updating system measures geographic position and travel information of in-flight aircraft in a fleet of aircraft equipped to establish in-flight connectivity services from a plurality of satellite beams. The in-flight aircraft include an on-board satellite map program with satellite map parameters to indicate which satellite beam of a group of available satellite beams is the most desirable based on the in-flight aircraft's geographic location. The system selects in-flight aircraft, determines updated satellite map parameters for the selected aircraft, and transmits the updated satellite map parameters to the aircraft to assemble new satellite map programs to relieve wireless data outage conditions on one or more of the satellite beams. The dynamic satellite updating system may transmit the updated satellite map parameters over an existing satellite data connection to make up-to-date adjustments to the communications load among the group of available satellite beams.

A method and system are disclosed for adaptive channel adjustments in a satellite communication system. The maximum bandwidth for a traffic carrier used for user communication in a satellite communication system is determined during changing conditions. The maximum bandwidth is then compared to a predetermined bandwidth allocated for the traffic carrier. New transmit parameters are selected to adjust the traffic carrier bandwidth within the allocated bandwidth in order to improve capacity. All transmitters and receivers within the system are subsequently reconfigured to transmit and receive the traffic carrier using the new transmit parameters.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training and using machine learning models to detect problems in a satellite communication system. In some implementations, one or more feature vectors that respectively correspond to different times are obtained. The feature vector(s) are provided as input to one or more machine learning models trained to receive at least one feature vector that includes feature values representing properties of the satellite communication system and output an indication of potential causes of a condition of the satellite communication system based on the properties of the satellite communication system. A particular cause that is indicated as being a most likely cause of the condition of the satellite communication system is determined based on one or more machine learning model outputs received from each of the one or more machine learning models.

A satellite communication terminal for a field environment includes: a broadband interface that creates a broadband link with a device in the field environment and that manages communication over the broadband link; a satellite antenna that creates a satellite backhaul link with a satellite in orbit; a satellite interface that manages communication over the satellite backhaul link; and a processor that controls a beam direction of the satellite antenna, performs broadband services on data exchanged with the device over the broadband link and the satellite backhaul link, and provides access to the exchanged data to the device.

A method includes obtaining traffic demand data indicating user traffic demand through a communication system including a multistage interconnection network. The method also includes generating first path data based on the traffic demand data. The first path data represents a configuration of components of the multistage interconnection network to provide traffic paths through the multistage interconnection network. The method includes selectively generating second path data based on a determination that a potential failure of the multistage interconnection network cannot be isolated, based on the traffic paths, to a single component. The second path data represents a modified configuration of the components to provide the traffic paths and test paths through the multistage interconnection network to facilitate isolation of the failure of the multistage interconnection network to the single component. The method also includes sending configuration data based on the second path data to initiate configuration of the multistage interconnection network.

The mill for spice products, in particular such as cinnamon sticks, houses a reservoir for storing the spice product. The reservoir communicates through a passage, with a grinding mechanism. The reservoir includes a mechanism for fragmenting the spice product. The mechanism for fragmenting are defined by a crusher of the spice product.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training and using machine learning models to detect problems in a satellite communication system. In some implementations, one or more feature vectors that respectively correspond to different times are obtained. The feature vector(s) are provided as input to one or more machine learning models trained to receive at least one feature vector that includes feature values representing properties of the satellite communication system and output an indication of potential causes of a condition of the satellite communication system based on the properties of the satellite communication system. A particular cause that is indicated as being a most likely cause of the condition of the satellite communication system is determined based on one or more machine learning model outputs received from each of the one or more machine learning models.

A dynamic satellite map updating system measures geographic position and travel information of in-flight aircraft in a fleet of aircraft equipped to establish in-flight connectivity services from a plurality of satellite beams. The in-flight aircraft include an on-board satellite map program with satellite map parameters to indicate which satellite beam of a group of available satellite beams is the most desirable based on the in-flight aircraft's geographic location. The system selects in-flight aircraft, determines updated satellite map parameters for the selected aircraft, and transmits the updated satellite map parameters to the aircraft to assemble new satellite map programs to relieve wireless data outage conditions on one or more of the satellite beams. The dynamic satellite updating system may transmit the updated satellite map parameters over an existing satellite data connection to make up-to-date adjustments to the communications load among the group of available satellite beams.

Various enhanced operations and orbital techniques for satellite devices are discussed herein. In one example, a method of operating an orbital satellite platform is provided. The method includes establishing relative distances between a plurality of satellite devices, and performing temporary adjustments to the relative distances between the satellite devices. The method also includes directing at least communication processes among the satellite devices based at least in part on the temporary adjustments to the relative distances.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training and using machine learning models to detect problems in a satellite communication system. In some implementations, one or more feature vectors that respectively correspond to different times are obtained. The feature vector(s) are provided as input to one or more machine learning models trained to receive at least one feature vector that includes feature values representing properties of the satellite communication system and output an indication of potential causes of a condition of the satellite communication system based on the properties of the satellite communication system. A particular cause that is indicated as being a most likely cause of the condition of the satellite communication system is determined based on one or more machine learning model outputs received from each of the one or more machine learning models.